1,212 Matching Annotations
  1. Last 7 days
    1. https://web.archive.org/web/20241117122125/https://support.signal.org/hc/en-us/articles/6829998083994-Phone-Number-Privacy-and-Usernames-Deeper-Dive#:~:text=A%20username%20is%20a%20way,are%20chatting%20with%20in%20Signal

      Signal allows you to set usernames. They are unique but temporary (and you can have only 1 at a time). User names can be used to connect to you without sharing your phone number. Set an optional username in Settings Profile. They have two numbers at the end (you can set them).

      User names can be shared in three ways: - tell someone (and then change it so they cannot communicate it further) - share a QR code - share a unique URL (which does not contain your username in clear text)

      Signal can't 'easily' see which phone number has which username. But given a username it can find the associated phonenumber. 'easily' means it can be done though, and thus both ways.

      An old username will become available to others after a week, meaning imo they should not contain any identifiable or associative information.

      Found this through someone suggesting that sharing your Signal username through Mastodon would allow private msgs. Yes, but the world will know your username, so you're open to all people who might think it fun to msg you.

    1. Stafford Beer coined and frequently used the term POSIWID (the purpose of a system is what it does) to refer to the commonly observed phenomenon that the de facto purpose of a system is often at odds with its official purpose

      the purpose of a system is a what it does, POSIWID, Stafford Beer 2001. Used a starting point for understanding a system as opposed to intention, bias in expectations, moral judgment, and lacking context knowledge.

    1. I’ve come to feel like human-centered design (HCD) and the overarching project of HCI has reached a state of abject failure. Maybe it’s been there for a while, but I think the field’s inability to rise forcefully to the ascent of large language models and the pervasive use of chatbots as panaceas to every conceivable problem is uncharitably illustrative of its current state.

      HCI and HCD as fields have failed to respond to LLM tools and chatbot interfaces a generic solution to everything forcefully.

    2. hegemonic algorithmic systems (namely large language models and similar machine learning systems), and the overwhelming power of capital pushing these technologies on us

      author calls LLMs and similar AI tools hegemonic, worsened by capital influx

    3. gravitating away from the discourse of measuring and fixing unfair algorithmic systems, or making them more transparent, or accountable. Instead, I’m finding myself fixated on articulating the moral case for sabotaging, circumventing, and destroying “AI”, machine learning systems, and their surrounding political projects as valid responses to harm

      Author moved from mitigating harm of algo systems to the moral standpoint that actively resisting, sabotaging, ending AI with attached political projects are valid reaction to harm. So he's moving from monster adaptation / cultural category adaptation to monster slaying cf [[Monstertheorie 20030725114320]]. I empathise but also wonder, bc of the mention of the political projects / structures attached, about polarisation in response to monster embracers (there are plenty) shifting the [[Overton window 20201024155353]] towards them.

    4. https://web.archive.org/web/20241116074149/https://ali-alkhatib.com/blog/fuck-up-ai Ali Alkhatib (anthropology/informatics academic, QS and HCI) #2024/06/24 call for active resistance against AI / ML

    1. https://web.archive.org/web/20241115135937/https://workforcefuturist.substack.com/p/ai-agents-building-your-digital-workforce

      On AI agents, and the engineering to get one going. A few things stand out at first glance: frames it as the next hype (Vgl plateau in model dev), says it's for personal tools (doesn't square w hype which vc-fuelled, personal tools not of interest to them), and mentions a few personal use cases. e.g. automation, vgl [[Open Geodag 20241107100937]] Ed Parsons of Google AI on the same topic.

    1. https://web.archive.org/web/20241115134446/https://www.theintrinsicperspective.com/p/ai-progress-has-plateaued-at-gpt Erik Hoel notices that LLM development is stalling at the GPT-4 level. No big jumps in recent releases, across the various vendors. Additional scaling is not bringing results. Notice the graph, might be interesting to see an update in a few months. Mentions overfitting, to benchmarks as in teaching to a specific test.

    1. Counternarrative to rural-urban divide in US politics, says data suggests it was city dwellers not showing up for Harris that tipped the balance. Main point Trump got about the same popular vote numbers but where Biden got 81M in 2020, Harris got just under 72M losing the popular vote. The diff is in core metropolitan counties in swing states.

  2. Nov 2024
    1. defaults write com.apple.mail DisableInlineAttachmentViewing -boolean yes

      This worked for me. I had to switch to Apple Mail a few months ago and it is extremely annoying that if you add small attachments it will preview inline. And at times even resizes them for that, and sends only the smaller version.

    1. these teammates

      Like MS Teams is your teammate, like your accounting software is your teammate. Do they call their own Atlassian tools teammates too? Do these people at Atlassian get out much? Or don't they realise that the other handles in their Slack channel represent people not just other bits of software? Remote work led to dehumanizing co-workers? How else to come up with this wording? Nothing makes you sound more human like talking about 'deploying' teammates. My money is on this article was mostly generated. Reverse-Turing says it's up to them to say otherwise.

    2. There’s a lot to be said for the promise that AI agents bring to organizations.

      And as usual in these articles the truth is at the end, it's again just promises.

    3. People should always be at the center of an AI application, and agents are no different

      At the center of an AI application, like what, mechanical Turks?

    4. Don’t – remove the human aspect

      After a section celebrating examples doing just that!

    5. As various agents start to take care of routine tasks, provide real-time insights, create first drafts, and more, team members can focus on more meaningful interactions, collaboration,

      This sentence preceded by 2 examples where interactions and collaboration were delegated to bots to hand-out generated warm feelings, does not convey much positive about Atlassian. This basically says that a lot of human interaction in the or is seen as meaningless, and please go do that with a bot, not a colleague. Did their branding ai-agent write this?

    6. gents can also help build team morale by highlighting team members' contributions and encouraging colleagues to celebrate achievements through suggested notes

      Like Linked-In wants you to congratulate people on their work-anniversary?

    7. One of my favorite use cases for agents is related to team culture. Agents can be a great onboarding buddy — getting new team members up to speed by providing them with key information, resources, and introductions to team members.

      Welcome in our company, you'll meet your first human colleague after you've interacted with our onboarding-robot for a week. No thanks.

    8. inviting a new AI agent to join your team in service of your shared goa

      anthropomorphing should be in this article's don't list. 'inviting someone on your team' is a highly social thing. Bringing in a software tool is a different thing.

    9. One of our most popular agent use cases for a while was during our yearly performance reviews a few months back. People pointed an agent to our growth profiles and had it help them reframe their self-reflections to better align with career development goals and expectations. This was a simple agent to create an application that helped a wide range of Atlassians with something of high value to them.

      An AI agent to help you speak corporate better, because no one actually writes/reflects/talks that way themselves. How did the receivers of these reports perceive this change in reports? Did they think it was better Q, or did all reflections now read the same?

    10. Start by practising and experimenting with the basics, like small, repetitive tasks. This is often a great mix of value (time saved for you) and likely success (hard for the agent to screw up). For example, converting a simple list of topics into an agenda is one step of preparing for a meeting, but it's tedious and something that you can enlist an agent to do right away

      Low end tasks for agents don't really need AI do they. Vgl Ed Parsons last week wrt automation as AI focus.

    11. For instance, a 'Comms Crafter' agent is specialized in all things content, from blogs to press releases, and is designed to adhere to specific brand guidelines. A 'Decision Director' agent helps teams arrive at effective decisions faster by offering expertise on our specific decision-making framework. In fact, in less than six months, we’ve already created over 500 specialized agents internally.

      This does not fully chime with my own perception of (AI) agents. At least the titles don't. The tails of descriptions 'trained to adhere to brand guidelines' and 'expertise in internal decision-making framework' makes more sense. I suppose I also rail against this being the org's agents, and don't seem to be the team's / pro's agents. Vibes of having an automated political officer in your unit. -[ ] explore nature and examples of AI agents better for within individual pro scope #ontwikkelingspelen #netag #30mins #4hr

    1. I've been down there enough times to see the same patterns repeat, and sometimes I can even interrupt them. That's why having goofy names for them matters so much, because it reminds me not to believe the biggest bog lie of all: that I'm stuck in a situation unlike any I, or anyone else, has ever seen before

      Giving repeating neg patterns wrt procrastination / not getting into action, a silly name helps in defeating the pattern (rather than beating yourself up over it I suppose).

    1. Decolonizing AI is a multilayered endeavor, requiring a reaction against the philosophy of ‘universal computing’—an approach that is broad, universalistic, and often overrides the local. We must counteract this with varied and localized approaches, focusing on labor, ecological impact, bodies and embodiment, feminist frameworks of consent, and the inherent violence of the digital divide. This holistic thinking should connect the military use of AI-powered technologies with their seemingly innocent, everyday applications in apps and platforms. By exploring and unveiling the inner bond between these uses, we can understand how the normalization of day-to-day AI applications sometimes legitimizes more extreme and military employment of these technologies.There are normalized paths and routine ways to violence embedded in the very infrastructure of AI, such as the way prompts (text inputs, N.d.R.) are rendered into actual imagery. This process can contribute to dehumanizing people, making them legitimate targets by rendering them invisible.

      Ameera Kawash (artist, researcher) def of decolonizing AI.

    1. https://web.archive.org/web/20241112122725/https://lexfridman.com/dario-amodei-transcript

      Transcript of 5+ hrs (!) of Dario Amodei (CEO Anthropic) talking about AI, AGI and more. Lots to go through it seems. Vgl [[My Last Five Years of Work]] by Amodei's 'chief of staff' whatever that means wrt a CEO other than sounding grandiose.

    2. Please note that the transcript is human generated, and may have errors.

      Ha, rather than "Please note that the transcript is machine generated and is certain to contain errors".

      I'm tempted to run this transcript through Claude for summaries and structure. See how that works.

    1. That development time acceleration of 4 days down to 20 minutes… that’s equivalent to about 10 years of Moore’s Law cycles. That is, using generative AI like this is equivalent to computers getting 10 years better overnight. That was a real eye-opening framing for me. AI isn’t magical, it’s not sentient, it’s not the end of the world nor our saviour; we don’t need to endlessly debate “intelligence” or “reasoning.” It’s just that… computers got 10 years better.

      To [[Matt Webb]] the project using GPT3 extracting data from web pages saved him 4d of work (compared to 20 mins coding up the GPT-3 instructions, and ignoring GPT-3 then ran overnight). Saying that's about 10yrs of Moore's law happening to him all at once. 'computers got 10yrs better' an enticing thought and framing. It depends on the use case probably, others will lose 10 yrs of their time making sense of generated nonsense. (Vgl the #pke24 experiments I did w text generation, none of it was usable bc enough was wrong to not be able to trust anything). Sticking to specific niches probably true : [[Waar AI al redelijk goed in is 20201226155259]], turning the issue into the time needed to spot those niches for yourself.

    2. I was one of the first people to use gen-AI for data extraction instead of chatbots

      [[Matt Webb]] used gpt-3 in Feb 23 to extract data from a bunch of webpages. Suggests it's the kernel for programmatic AI idea among SV hackers. Vgl Google AI [[Ed Parsons]] at [[Open Geodag 20241107100937^aiunstructdata]] last week where he mentioned using AI to turn unstructured (geo) data into structured. Page found via [[Frank Meeuwsen]] https://frankmeeuwsen.com/2024/11/11/vertragen-en-verdiepen.html

    1. overview of European alternatives for digital products. Not in all relevant categories (payments e.g.) but some novel providers in there.

      Explore wrt [[Infosec ladder van techniek en gedrag 20190530190335]] in context TGL.

    1. Good and interesting points by Baldur Bjarnason. With arsonists in our own gov, and full blown fascists making a US clean sweep of all branches of gov, relevant q's. Vgl [[Mijn werk is politiek 20190921114750]] mbt tech en TGL. Wat haal ik hier uit? -[ ] lees dit in detail, maak vergelijking met mijn huidige werkzaamheden langs zelfde lijnen.

    1. Map of the exact location of the Berlin wall, plotted on a current map of streets and buildings. Useful in pinpointing exact locations of images have from my trip in 1987.

  3. Oct 2024
    1. Hedgedoc is a collaborative markdown tool. Handig voor team mbt samen Obsidian notes bewerken. Kan op yunohost, al wordt een issue/dependency met chromium genoemd in 2023 wv onduidelijk is of het is opgelost.

      -[ ] doe een testinstallatie v Hedgedoc op Yunohost #webbeheer #tgl

    1. A knower does not stand apart from the universe, but participates personally within it. Our intellectual skills are driven by passionate commitments that motivate discovery and validation. According to Polanyi, a great scientist not only identifies patterns, but also significant questions likely to lead to a successful resolution. Innovators risk their reputation by committing to a hypothesis.

      Knower / observer not separate from the universe, not outside the system boundary Vgl [[Systems convening landscape als macroscope 20230906115130]] where the convener is integral part of it too, not an external change agent.

    1. Daniel Clement Dennett (Boston (Massachusetts), 28 maart 1942 – Portland (Maine), 19 april 2024) was een Amerikaanse filosoof die gespecialiseerd was in vraagstukken betreffende het bewustzijn, de filosofie van de geest en kunstmatige intelligentie.

      Hadn't realised Daniel Dennett died last April. I read his The Mind's I (1981), Consciousness Explained (1991) and Darwin's Dangerous Idea (1995) while at university, those last two as they appeared. Have Elbow Room (1984) on the reading stack currently.

    1. For a long time, I thought of HTML as a tool for publishing on the web, a way to create websites that other people can look at. But all these websites I’m creating are my local, personal archives – just for me. I’m surprised it took me this long to realise HTML isn’t just for sharing on the web.

      Yes. I use lots of small local html/php pages. Also webforms to search websites elsewhere, without going there. I had local pages to browse local image files in the 90s. I started writing html by hand in '93 and still do for local stuff. I do use a local on-device webserver though, as I include php.

    2. https://web.archive.org/web/20241017043750/https://alexwlchan.net/2024/static-websites/

      I like this idea of having static html as page to explore folders, I had that in the 90s to better search for image files. Author offers no clues as to how he uses the affordance it provides though, in terms of 'showing the metadata' they care for and the little bits of extra functionality. And I wonder about the effort involved when adding new files. Presumably new files are added manually too, otherwise it's not 'static html'. Stores files by year, type and first letter of file name. That makes no immediate sense to me in terms of finding things back. Then again I never understood why you would have folders for file types. It's like sorting items on the type of box it came in. Good example though of making your computer your own.

    1. Avital Balwit lives in San Francisco and works as Chief of Staff to the CEO at Anthropic

      CoS to a CEO is what? It all reads like your typical mid-20s arrogance before finding out you don't actually know all, mistaking a hunch/'vision' for reality.

      Anthropic is the outfit that made the Claude model.

    2. doing more than fairly basic math

      another apples/oranges. We have software that is good at math. Regular people call them spreadsheets. What we don't have, also not in algogens is software that understands what it is they're doing. My model can do sums is not a useful comparison wrt if it can do cognitive tasks.

    3. the widespread deployment of robotics

      another over the horizon precondition for author's premise to happen mentioned here. Notices that robots are bound to laws of nature, and thus develop slower than software environs but doesn't notice same is true for AI. The diff is that those laws of nature show themselves in every robot, but for AI get magicked out of sight in data centers etc, although they still apply.

    4. Essentially anything that a remote worker can do, AI will do better

      Weird notion of remote work as only screen interaction. My team works remote, meaning they think independent from any screen tasks.

    5. Machine learning is a young field,

      ? young? Author is in their 20s, case of 'my first encounter with something means it is globally new'?

    6. I expect AI to get much better than it is today. Research on AI systems has shown that they predictably improve given better algorithms, more and better quality data, and more computational power. Labs are in the process of further scaling up their clusters—the groupings of computers that the algorithms run on.

      Ah, article based on assumption of future improvement. compute and data are limiting factors, and you will end up making the equation if compute footprint is more efficient than doing it yourself. Data even more limiting, as the most meaningful stuff is qualitative rather than quantitative, and stats on the Q stuff won't give you meaning (LLMs case in point)

    7. The shared goal of the field of artificial intelligence is to create a system that can do anything. I expect us to soon reach it.

      Is it though? Wrt GAI that is as far away as before imo. The rainbow never gets nearer, because it is dependent on your position.

    8. The economically and politically relevant comparison on most tasks is not whether the language model is better than the best human, it is whether they are better than the human who would otherwise do that task

      True, and that is where this fails outside of bullshit tasks. The unmentioned assumption here is that algogen output can have meaning, rather than just coherence and plausibility.

    9. The general reaction to language models among knowledge workers is one of denial.

      equates 'content production' w k-work

    10. my ability to write large amounts of content quickly

      right. 'content production' where the actual meaning isn't relevant?

    11. it can competently generate cogent content on a wide range of topics. It can summarize and analyze texts passably well

      cogent content / passably well isn't the quality benchmark for K-work though.

    1. Sightful h1 2025 launch on Win via John Philpin https://john.philpin.com/2024/10/12/spatial-computing-has.html

      every image change in the page moves focus from this form to page. Irritating

    1. https://web.archive.org/web/20241012060204/https://www.felicis.com/insight/the-agent-economy

      for the image listing various AI 'agent' services. Some seem dubious as example, and not agents but generally 'ai tools'. -[ ] maak lijst v voorbeelden uit illustratie [[241012Felicislijstaiagentscorps.png]] #15mins mbt acties/sectoren die interessant lijken. Now an agent for that task....

    2. an AI-first outsourced contact center

      so much wrong with that phrase and a tell for how these corps view this tech. let's have your customers talk to machines.

    1. imperfect tools for low-stakes tasks.

      seems that way, and to mostly remain that way. I'd be curious to incorporate agents in my tasks ([[Aazai CL]] list of such tasks)

      also burying the lede much, this is the key verdict and it's in the penultimate paragraph?

    2. For now, the concept seems to be mostly siloed in enterprise software stacks, not products for consumers.

      Real agents would start at the individual level. It all smacks so much of corps automating away their own direct interaction with customers, bc they're a pain to talk to. Blind, see gripes of existing silo customers about the impossibility getting to talk to someone

    3. a customer service agent

      almost by def asymmetric, leaving customers to talk to a blind wall.

    4. The gap between promise and reality also creates a compelling hype cycle that fuels funding

      The gap is a constant I suspect. In the tech itself, since my EE days, and in people's expectations. Vgl [[Gap tussen eigen situatie en verwachting is constant 20071121211040]]

    5. And they burn more energy than a conventional bot or voice assistant. Their need for significant computational power, especially when reasoning or interacting with multiple systems, makes them costly to run at scale.

      Also costly to run at all. If this is to increase efficiency of a corp or individual it needs to be energy efficient too. Otherwise doing it yourself is the more efficient option. AI is bound to the same laws of nature as us. [[AI heeft dezelfde natuurwetten 20190715135542]] Hiding away the inefficiency in a data center's footprint and abstracting into a service fee doesn't change that dynamic ultimately.

    6. AI agents offer a leap in potential, but for everyday tasks, they aren’t yet significantly better than bots, assistants, or scripts.

      Again it's just a promise, which seems to be the AI mantra at every step.

    7. Agents frequently run into issues with multi-step workflows or unexpected scenarios

      multi step is what they're for no? Automator can do better than agents at this time it seems.

    8. There was another, arguably more immediate problem: the demo didn’t work. The agent lacked enough information and incorrectly recorded dessert flavors, causing it to auto-populate flavors like vanilla and strawberry in a column, rather than saying it didn’t have that information.

      Exactly. All promise no delivery yet. It may work if the other side is equally automated, but if it's human or a dumb web form it won't. It also reveals on the side of the human demonstrator a big lack in reflecting on their own preferences that the AI should attach to its choices.

    9. The service is similar to a Google reservation-making bot called Duplex from 2018. But that bot could only handle the simplest scenarios — it turned out a quarter of its calls were actually made by humans.

      Vgl Phillips voice automation train tickets in 90s. 'Where do you want to go' 'It's not for me but for my mom' 'Destination not found: mom'

    10. Huet gave the agent a budget and some constraints for buying 400 chocolate-covered strawberries and asked it to place an order via a phone call to a fictitious shop.

      Note this is only 'nice' from the buyer's perspective. The 'phone call' to the shop still means having a human be subject to a computer call. It also probably means you don't care about what's being bought. No back story to e.g. a gift. Beware [[Spammy handelings asymmetrie 20201220072726]]. You automate 10 million things be sent, but need to be deleted by a human e.g.

    11. Tech companies have been trying to automate the personal assistant since at least the 1970s, and now, they promise they’re finally getting close.

      Indeed. [[AI personal assistants 20201011124147]] https://www.zylstra.org/blog/2020/10/narrow-band-digital-personal-assistants/ We should start with the personal here, wrt automation, not the AI to get to quicker results: [[small band AI personal assistant]] where the personal limits the range of possible inputs for a task and the range of acceptable outputs for a task, leaving a smaller area for an AI agent to do its thing in and thus be more effective.

    12. For individuals, AI companies are pitching a new era of productivity where routine tasks are automated, freeing up time for creative and strategic work.

      Still, how much of that is already available to automate on-device? 'routine tasks automated' is not in need of AI. What are examples?

    13. Instead of following a simple, rote set of instructions, they believe agents will be able to interact with environments, learn from feedback, and make decisions without constant human input. They could dynamically manage tasks like making purchases, booking travel, or scheduling meetings, adapting to unforeseen circumstances and interacting with systems that could include humans and other AI tools.

      Agents are prompt chains that include fetching info (params!) from elsewhere for their function. vlg [[Standard operating procedures met parameters 20200820202042]] I wonder how you generalise them, other than 'go buy/book', and when you do if they are above what on-device automation can do. In the end individuals need to be able to set the params/boundaries of any agent, make it their own agent, rather than some corps agent. What I see at consumer facing level is not aiding consumers but aiding corps reduce human interaction with consumers. Agents should increase agency, is the lithmus test.

    1. For me, it was always a way to build community at scale.

      yup

    2. The web sits apart from the rest of technology; to me, it’s inherently more interesting. Silicon Valley’s origins (including the venture capital ecosystem) lie in defense technology. In contrast, the web was created in service of academic learning and mutual discovery, and both built and shared in a spirit of free and open access. Tim Berners-Lee, Robert Cailliau, and CERN did a wonderful thing by building a prototype and setting it free.

      Ben Werdmüller makes an interesting distinction. Internet tech, and thus Silicon Valley, originated in defense (ARPA etc.), whereas the web originated in academia in a spirit of open academic debate (CERN). Now ARPA etc had deep ties w academia too, and it's mostly defense funding at play. Still there may be something to this distinction. You could also say perhaps it's an Atlantic divide, the web originated at CERN in Europe.

    1. https://web.archive.org/web/20241007071434/https://www.dbreunig.com/2024/10/03/we-need-help-with-discovery-more-than-generation.html

      Author says generation isn't a problem to solve for AI, there's enough 'content' as it is. Posits discovery as a bigger problem to solve. The issue there is, that's way more personal and less suited for VC funded efforts to create a generic tool that they can scale from the center. Discovery is not a thing, it's an individual act. It requires local stuff, tuned to my interests, networks etc. Curation is a personal thing, providing intent to discovery. Same why [[Algemene event discovery is moeilijk 20150926120836]], as [[Event discovery is sociale onderhandeling 20150926120120]] Still it's doable, but more agent like than central tool.

    1. https://web.archive.org/web/20241005072338/https://ruk.ca/content/blog-posts-are-breadcrumbs#comment-28817

      [[Peter Rukavina]] on how his blog is something others come across and make connections. Commented that [[Hoe emergence tot stand komt 20040513173612]] is from longer traces. My PKM system is leaving those traces for me, my blog for me and others. My blog is the longest, due to it being 22+ yrs old, trace I'm leaving publicly for others to connect around.

    1. The more friction existed, the higher the stakes felt to me, and the more it seemed like I needed to have something very important and worthwhile to say before I could (should) blog about it.

      Friction can forestall writing. I've moved to blogging from inside my Obsidian notes through micropub, rather than using the WP back-end. Gives me two things: the back-end pushed me to only write when I had time to finish, the notes allow multiple writings in parallel, and publishing is one key click.

    2. A “shit blog” is a thing of power.

      Vgl [[Sturgeons Law most is crap 20190328205135]] https://www.zylstra.org/blog/2019/03/90-of-everything-is-crap-a-source-of-imposter-syndrome/ Provides agency and ratchet too.

    3. https://web.archive.org/web/20241002133454/https://tracydurnell.com/2024/09/29/the-secret-power-of-a-blog/

      Tracy Durnell on the personal affordances of keeping a blog. Haven't read just glanced, but usually she makes interesting points, marked to read -[ ] Read this wrt #pkm #15mins

      via [[Euan Semple]]

    1. adding to what clemp wrote. Structure or categorisation is earned imo and emergent from working with my material. Any categorisation, indexing, tagging also is personal imo meaning no external standard as to how things should be organised applies in any way. Structures are personal tools and can be temporary. Which ones do you need and can add to over time while your interacting with your material? That way there’s a ratchet effect, but no need to structure everything as a separate task. I start everything I do with a search in my stuff. I add to the things I find and seem relevant at that time as tags the things I was searching for. If I found a piece about gardening while searching for things about health, I will add that health relation as tag. Or as link to another note. This lengthens the traces of my work with my material, and longer traces I’m more likely to cross. Over time I will see the stuff emerge that is most relevant to me over time. The start for me is when I save something external I always add the following 2 things: the reason I wanted to save it, what made me interested, in my own words (might include some tags). And always a link to something already in my notes that I associate it with. For me the switch in mindset is that there is no intrinsic information contained in anything I keep, all meaning is in my own eyes when I use it later. Any structuring reflects that, and I work form the assumption there are no objective descriptors I must use as categories or tags etc. Rather than organize/structure during note taking, I organize/structure during note using. With my initial remark and internal link as curation to help me on my way.

      my comment, in response to someone getting lost in up front organising of notes, and ending up in a 'mess'. Embrace the mess, lengthen traces to stumble upon, earn structure (they're a personal tool not an outside standard or demand). Organise during note usage rather than during note taking, except for curation when saving something external with a remark (tags sometimes) and an internal link.

    1. Het EU dataportaal heeft een ERPD data flag voor Chapter II v.d. DGA. Vu NL moet iov met CBS data.overheid.nl dit verzorgen. 1 jr na van toepassing worden zijn er ~1400 datasets veel CZ, maar ook NL zie ik van CBS zelf en rivm. 1045

      -[ ] vraag #bzkdga en #cbs om hoe dit tot stand komt wel/niet via data.overheid.nl? #10mins #prio

  4. Sep 2024
    1. Google’s chaos makes Apple’s control seem reasonable. I can already hear John and Seb typing: “…and this is why the EU shouldn’t turn Apple into Google.” Let’s be real—Google Play and the App Store don’t compete. They collaborate. Same rates, same model, same unchecked power. Call it a monopoly, call it a duopoly. They share the mobile market without too much crossfire: Apple takes those who can or want to pay, Google takes the rest. Google Play is not an alternative to the App Store. It’s not “Go there if you don’t like Apple.” Google Play is a very lazy, very sloppy carbon copy of the App Store. Their collaboration is not metaphorical. It goes beyond the way their shared control over the mobile app market. Apple collects privacy points, then cashes them in by making Google the default search on iPhone. A lot of that privacy-free Search money flows right back from Google to Apple. 20 Billion USD in 2022. In 2020, “Google’s payments to Apple constituted 17.5% of the iPhone maker’s operating income.” (Bloomberg) And no one really cares, as long as it’s convenient. But as a developer in Europe, we’re glad that the EU does. ↩

      iAwriter pointing out that from their perspective G and A appstores don't compete but divvy things up between them. A 20B USD / 17,5% revenue deal makes it tangible. Say they appreciate the DMA because of it.

    1. https://web.archive.org/web/20240929075044/https://pivot-to-ai.com/2024/09/28/routledge-nags-academics-to-finish-books-asap-to-feed-microsofts-ai/

      Academic publishers are pushing authors to speed up delivering manuscripts and articles (incl suggesting peer review be done in 15d) to meet the quota they promised the AI companies they sold their soul to. Taylor&Francis/Routledge 75M USD/yr, Wiley 44M USD. No opt-outs etc. What if you ask those #algogens if this is a good idea?

    1. We have to break this illusion that the organization is anything other than hired people sponsored by corporations working on some common shared goals together

      well yes that is standardisation. If you exclude intended users from its creation it won't be one. A standard gets created by the intended field of users, who commit to adopting it once created. It's not idealism or altruism, it's industry.

    2. So, what’s the problem?

      This entire piece gave me nothing to understand 'what's the problem' other han a personal beef with a key figure, a dislike for organisation and not understanding standardisation as an industry effort. So I see the author's problems, but still don't know anything about Social Web Foundation, other than that many people seem to feel left out.

    3. Why is he like this?

      This entire thing indeed seems to be about the author's personal perspective on Evan Prodromou

    4. My growing concern is over what place the community will have in the governance process, or any decision-making process. As the echelons of power consolidate into a handful of decision-makers, as the emphasis focuses more on making a profit, as the gap widens between “leadership” and the poor sods hanging around at the bottom, the mutual aspect of community welfare gives way towards a dynamic very reminiscent of what we were all trying to get away from at one point or another: a fucking mall on the Internet, where people used to hang out.

      organising is suspect by def then?

    5. I understand the argument that “having too many standards can hinder innovation and hurt collaborative efforts”, and while I don’t completely agree with it, I can see some validity in how the case can be made. However, telling people they’re wrong because their standard didn’t get a seal of approval

      a standard is only a standard if it is adopted by those in the user group. Creating your 'own' by definition isn't a standard, at most it's a method or protocol.

    6. The creation of The Social Web Foundation deftly and carefully subverts that context, in such a way that the term “Social Web” only equals “Fediverse”. It even goes as far as wringing out the Fediverse’s own historical context as a multiprotocol polyglot network, by equating the Fediverse to just the ActivityPub

      The Social Web by naming itself thus reduces social web to fediverse and then to AP only.

    7. he term “Social Web” has been used on and off for a little while now, most prominently being offered as a simpler, cleaner name than “Fediverse”. Unfortunately, the term is a bit vague, in that it simply puts two words in a blender and mixes them together. During a discussion prior to FediForum March 2024, I proposed an alternate name: “Womp Triangle”, because it holds just about as much meaning and insight

      And 'Fediverse' is what? Some trekkie couldn't decide between universe and The Federation. Idk what the problem is yet w the foundation, but this is the lamest critique thinkable.

    1. https://web.archive.org/web/20240924124652/https://edition.cnn.com/2024/09/20/business/23andme-board-resigns-nightcap/index.html

      23andme postorder DNA profiling is slowly collapsing. CEO wants to take it private, and board has resigned in protest. This is one of the corps that went public using a SPAC to capitalise on the height of hype. Founded 2006, SPAC in 2021. Revenue is down, and money should run out soon. Seems there's no business model on top of the 1 time purchase of a DNA test. Key asset obv is the data, so I think we can wait for it to be sold to whoever bids most.

    1. Charlie Stross provides a personal anecdotal data point to [[Changes in memory and cognition during the SARS-CoV-2 human challenge study]] that revising his writing after covid showed him cognitive issues he didn't realise as he was writing. Comments / responses add to it. Personally I use a type of puzzle and a timer to gauge my concentration and have done for several years. Since my last Covid and in my burnout I now at times don't finish or make mistakes in a puzzle, where I would consistently be in the 5% fastest solvers before.

    1. https://web.archive.org/web/20240923184711/https://nlnet.nl/project/MaemoLeste-Telepathy/interview.html

      Maemo Leste is intended to be a mobile OS independent and completely separate from Android and iOS. e/OS in comparison I think is more a degoogled Android. Its origins are in a Nokia project called Maemo (never heard of it).

    1. https://web.archive.org/web/20240923175503/https://www.baldurbjarnason.com/2024/the-promise-and-the-distraction/

      glorious rant by Baldur Bjarnason, but not much surprisal here. As with other stuff, albeit agile scrum, getting things done, and any of the pitched perfect ways to make notes, whenever the process becomes the thing rather than a tool in the hand of an knowledge artisan stuff is useless and boring.

      It's about output, not in units or volume, but in quality. Needing to know why your are making these notes, and weaving your network of meaning.

      The people who do things with their system usually don't talk about it much. I've done it on occasion and am happy to share and show how/why I do things, but never with the intention to convince another to do the same or similar.

    1. https://web.archive.org/web/20240923073444/https://www.trend-mill.com/p/i-kinda-hate-the-internet-now

      Stephen Moore rants about the internet he does not like. Incl the deterioration of search, the adtech, growth hacking for engagement etc. Now no longer human created even but generated slop from bots. Calls it a addictive dopamine machine without joy.

    1. Has ChatGPTo1 just become a 'Critical Thinker'?

      What was that old news editor adagio again? Never use a question mark in the title bc it signals the answer is 'No'. (If it is demonstrably yes, then the title would be affirmative. Iow a question means you're hedging and nevertheless choose the uncertain sensational for the eyeballs.)

    2. You have to see this new approach as not providing simple solutions to single prompts but predicting and planning, multi-stage tasks, with far more penetrative judgement. You can get it to do the market research or needs analysis, then scenario analysis to evaluate potential outcomes

      Where is this different from the prompt-chaining thing I run locally? Which you prompt for a bunch of steps and then self prompts each one and goes online to further detail or do them.

    3. We will now get hundreds of thousands of real use cases in the real world. The old days of release a perfect product are gone

      yeah, externalising the cost of getting it wrong at scale. Testing it in real world circumstances is extremely useful and needed, yet OpenAI's general public customers will mostly not show their own CT and assume any result is true (seen it happen a lot) and thus moving the cost externalisation further down the chain, where it is more likely to have negative real world consequences.

    4. https://web.archive.org/web/20240916044350/https://donaldclarkplanb.blogspot.com/2024/09/critical-thinking-was-famous-21st.html

      Donald Clark on the latest closed OpenAI iteration. I can see how it may do the rule based bits of CT (although OpenAI's stuff until now still does very basic stuff wrong even before getting to CT here and at unpredictable times making every output suspect and in need of checking) Anything rule based is codable or will stand out as pattern for prediction.

      Says AGI is now more visible. Seems rather Chomsky-esque, assuming language is thinking. Sociocentric (CT!) too, wrt English, while the rest of linguistics world has a century of saying language is communication and thinking a different thing.

    1. https://web.archive.org/web/20240923070540/https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00421-8/fulltext

      (Even mild) covid cases are associated with persistent cognitive damage. Empirical data from 2021/2022. Largest diff between measured groups wrt memory and executive functions. No volunteers self-reported cognitive symptoms. Iow covid is associated with cognitive damage, but you won't notice yourself.

      Trender et al 2024.

      Paper TrenderChangesMemoryCognition2024 in Zotero

    1. https://web.archive.org/web/20240923064617/https://wordpress.org/news/2024/09/wp-engine/

      Matt Mullenweg calls WP Engine 'not WordPress' bc it disables key features to save hosting costs. Calls it a VC funded cancer putting the century goal of WP at risk.

    1. Kara-Murza’s grasp of history underpins his certainty that Putin’s regime will collapse – quickly and without warning. “That’s how things happen in Russia. Both the Romanov empire in the early 20th century, and the Soviet regime at the end of the 20th century collapsed in three days. That’s not a metaphor, it was literally three days in both cases.” He believes passionately that the best chance of a free and democratic Russia and peace in Europe rests on Russia’s defeat in Ukraine.

      Kara-Murza's take on Russia is that collapse will be swift, much like twice before, 1917 and 1991.

  5. www.rachelwu.com www.rachelwu.com
    1. they risk experiencing delays in learning or learning something irrelevant,wasting time and energ

      Again lineair and productivity/effectiveness overtones. 'learning something irrelevant' as 'wasting time and energy'? ugh. Curiosity and interestingness/surprisal can be directed with intention without being goal oriented, which seems to be the premise here.

    2. Learning what to learn entailsunderstanding what is relevant versus irrelevant

      #openvraag I wonder if Wu put relevance in the eye of the learner or not. Vgl Feynman's [[Twaalf favoriete vraagstukken 20201006163045]] vs 'society's' relevance.

    3. Once a learner figures out what to learn, then theremaining task is to learn the information, which can still be a challenge depending on thecomplexity of the information

      This is a highly linear sketch, figure out what to learn, gather information, done. In complexity figuring out what to learn does not then give you a clear path to the 'right' information, as it doesn't exist in that form. You iterate your way forward based on pattern recog. Fractals of figuring out what to learn repeatedly along the way

    4. http://www.rachelwu.com/Wu_2019.pdf

      proposes ...adaptation is relevant for all age groups because the environment is dynamic, suggesting that learning what to learn is a problem relevant across the lifespan

      reviews new research demonstrating the importance and ways of learning what to learn across the lifespan, from objects to real-world skills 2018/2019pub

    1. I don't think anyone has reliable information about post-2021 language usage by humans. The open Web (via OSCAR) was one of wordfreq's data sources. Now the Web at large is full of slop generated by large language models, written by no one to communicate nothing. Including this slop in the data skews the word frequencies. Sure, there was spam in the wordfreq data sources, but it was manageable and often identifiable. Large language models generate text that masquerades as real language with intention behind it, even though there is none, and their output crops up everywhere.

      Robyn Speer will no update longer Wordfreq States that n:: there is no reliable post-2021 language usage data! Wordfreq was using open web sources, but it getting pollutted by #algogens output

    2. The field I know as "natural language processing" is hard to find these days. It's all being devoured by generative AI. Other techniques still exist but generative AI sucks up all the air in the room and gets all the money. It's rare to see NLP research that doesn't have a dependency on closed data controlled by OpenAI and Google

      Robyn Speer says in his view natural language processing as a field has been taken over by #algogens And most NLP research now depends on closed data from the #algogens providers.

    3. Reddit also stopped providing public data archives, and now they sell their archives at a price that only OpenAI will pay.

      Reddit was another key data source for wordfreq but they too no longer provide public archives, and sell it at high prices (to the likes of the #algogens)

    4. Twitter is gone anyway, its public APIs have shut down

      Twitter was a key resource for wordfreq for colloquial use of words. No longer as API shut down and the population of X is skewed to hatemongering in a way that makes it lose utility as data source.

    5. As one example, Philip Shapira reports that ChatGPT (OpenAI's popular brand of generative language model circa 2024) is obsessed with the word "delve" in a way that people never have been, and caused its overall frequency to increase by an order of magnitude.

      Example of how #algogens slop pollutes corpus data: ChatGPT uses the word 'delve' a lot, an order of magnitude above human usage. #openvraag Is this to do with the 'need' for #algogens to sound more human by switching words around (dial down the randomness, and it will give the same stuff every time, but will stand out immediately as computer generated too)?

    1. paywalled article.

      Wordfreq is shutting down because LLM output on the web is polluting its data to the point of uselessness. It would track longitudinally the change in use of words across a variety of languages. Vgl human centipede epistomology in [[Talk The Expanding Dark Forest and Generative AI]] by [[Maggie Appleton]]

    1. This creates two representations of the same file: one the drawing presented visually, one the text content outside the visual. Zsolt calls it the ‘flip side’ of a drawing, being a note accompanying the drawing. I see it more like two different views on the same thing. I have a hotkey (cmd arrow down) enabled to flip a note between both views. Putting both views next to each other, and working in both at the same time, allows me a seamless mode of working, switching between visual material and text writing

      Obsidian is a viewer, each tab essentially a diff one. Putting the two representations each in their own tab makes it possible to work both in the text and visual version of the same file. A combination of the 'flip' that Zsolt's plugin allows plus the tabs in Obsidian.

    2. https://web.archive.org/web/20240920194505/https://www.zylstra.org/blog/2024/09/enjoying-seamless-visual-and-text-work/

      nn: visueel en text naadloos naast elkaar maakt visueel makkelijker adopteerbaar.

    1. https://web.archive.org/web/20240919071804/https://www.myrasecurity.com/

      Myra CDN, based in Germany. CDNs need to temp decrypt https traffic, potentially creating a gap in GDPR (and DSA?) compliance. Unless the CDN provider can be shown to be part of the compliance chain. Thus select one that ensures this / is based inside the EU.

    1. each of these instances will need to comply with a set of minimumobligations for intermediary and hosting services, including having a single point of contact and legal representative, providing clear terms and conditions, publishing bi-annual transparency reports, having a notice and action mechanism and, communicating information about removals or restrictions to both notice and content providers

      Revisiting this after 2yrs, now as board member of mastodon.nl, need to read relevant DSA sections again, and think about if/how this applies. The list here as such is almost completely covered by default, except for the reports, which will come as we're heading towards ANBI status anyway.

      -[ ] lees DSA met mastodon.nl bril tav kleine platforms #activityclub #30mins

    1. it feels we’re creeping ever closer to that goal of providing the missing communication layer for the open Web. The European Union’s Digital Markets Act (DMA) is a huge step in that direction - regulation that mandates that if the large centralised messaging providers are to operate in the EU, they must interoperate. We’ve been busy working away to make this a reality, including participating in the IETF for the first time as part of the MIMI working group - demonstrating concretely how (for instance) Android Messages could natively speak Matrix in order to interoperate with other services, while preserving end-to-end encryption.

      Matrix seeing DMA as supportive towards their goal of open web's communication layer. Actively demo'ng Android interoperability while preserving E2EE, and participating in IETF / MIMI ( https://datatracker.ietf.org/group/mimi/about/ )

    1. but I think much of it is me slowly—still—becoming less reactive to the discomfort of sitting in stillness and confusion.

      The ability to do deepwork is related to create less distraction because of discomfort during it. To keep at it, where a more gratifying small task is just a click away.

    2. how to cultivate deep, stable concentration in the face of complex, ill-structured creative problems?” I now have several years of data on self-reported focus and energy levels, and it’s comforting to see that this does get easier with practice.

      it is easy to pretend interruption is the work. Matuschak descibes focus work as a trained thing he improved upon.

    3. When the insight arrived, I didn’t notice the connection to the trail I’d laid on the preceding pages. My experience was of making no progress, and then, finally, making some. In hindsight, I can see that I had been making plenty of progress over those weeks; I just couldn’t tell at the time. I suspect this is pretty common in my work. So, “I feel like I’m not making progress” is probably not a good local heuristic for guiding my work. Alternately, the lesson might be that I need to become more sensitive to the many subtler flavors of progress in this kind of work

      This rings true. The friction, the struggle is the work, at least when it comes to my knowledge work. Interesting is that when the jump happens I tend to phrase it as an escape, a way of fleeing forward. When I got stuck in a major research project in 2020, the key insight to unlock it was a gasp of desperation more than a bolt of lightning. Colleagues immediately told me that was the key, but to me it felt like using a cheat code. Now in hindsight, I think it was the best possible outcome but that oroginal sense of escape remains.

    4. ut I’ve also noticed that when I focus my work on particular people in particular contexts, that more immediate emotional connection sometimes overpowers the day-to-day frustration that comes with being lost in the woods. For several long stretches this year, I found the work really gratifying, both in the moment, and retrospectively over the long term.

      Matuschak through focusing on specific people in a specific context, entering into a deeper emotional connection would provide meaning both in the now and over the long term. This certainly applies to my work #hazp08 and perhaps all my project that stand out in hindsight either have that or are singular efforts where the doing held such a link to myself.

    5. By contrast, when I’m doing work that I find gratifying and meaningful over the long term, the day-to-day experience is usually frustrating and unpleasant. The work is gratifying because it’s deep and personal and unique. Unfortunately, in my projects, those same attributes also mean that progress tends to be inconsistent and hard to discern; it’s rarely clear what to do next; there’s rarely anyone I can ask for help; I usually feel incapable.

      I find the concepts behind my work meaningful, and enjoyable, but usualll not the work. The most enjoyable work usually is disconnected from anything else.

    6. Throughout my career, I’ve struggled with a paradox in the feeling of my work. When I’ve found my work quite gratifying in the moment, day-to-day, I’ve found it hollow and unsatisfying retrospectively, over the long term. For example, when I was working at Apple, there was so much energy; I was surrounded by brilliant people; I felt very competent, it was clear what to do next; it was easy to see my progress each day. That all felt great. But then, looking back on my work at the end of each year, I felt deeply dissatisfied: I wasn’t making a personal creative contribution. If someone else had done the projects I’d done, the results would have been different, but not in a way that mattered. The work wasn’t reflective of ideas or values that mattered to me. I felt numbed, creatively and intellectually.

      [[Andy Matischak]] on the value and quality of his work. Over the long haul, he found his work (at Apple) meaningless, even if it felt good at the time. The statement 'if someonee alse had done the work' the results would have been similar chimes. My work may be seen by others as meaningful in the moment, but I only see that it doesn't matter in the long run. A million others for any of us. M writes he felt confident, I never had any answer to the question what I'm good at. I just get total internal silence in response, and always have gotten.

    1. Answers are often hiding in our discursive notebooks, buried over time in reams of the mundane

      vgl [[Sturgeons Law most is crap 20190328205135]]

    2. One key motivation for Latticework was how wonderful it feels to stumble upon a past moment of shining clarity, to point and revel. We want to be able to carry those moments with us, to see them all at once when we’re lost, and to use them as landmarks as we navigate our messy notebooks. We’ve used Latticework to do this in small ways so far, and we’re excited to see how our upcoming projects might feel different with its extra affordances.

      this paragraph reads like making commonplacing navigable in a new way. Also turns 'snippets' into potenital entry points without them being separate notes, and pivots like tags. Note the clear spatial overtones (landmarks, being lost, navigate, ways, stumble upon, point).

    3. We had a strong personal motivation for this project: we often find ourselves stuck in our own creative work. Latticework’s links might make you think of citations and primary sources—tools for finding the truth in a rigorous research process. But our work on Latticework was mostly driven by the problems of getting emotionally stuck, of feeling disconnected from our framing of the project or our work on it.

      Again the important distinction, here in the context which itch Latticework scratches, between 'evidence' and 'kindle' perspectives. The latter is an emotional thing, where knowledge is not an external thing, but a internal network of meaning.

    4. Our test users were largely quite enthusiastic, but our sessions with them usually lasted less than an hour. Future work should be informed by extended use in demanding situations.

      I recognise this. We spent an hour in Feb. Which was fun, and useful because it was a real effort on actual notes and for an actual purpose (for me a workshop design). Then afterwards I didn't use it much due to tech hurdles, so I didn't get to experience ongoing value. Reinstalled it now because of this article. (Which [[Maarten den Braber]] pointed me to.

    5. Adjustable snippet ranges. After working with a snippet link, some test users found that they wanted to shift its endpoints, to include more context or to tighten its focus. Latticework doesn’t currently allow this, but one could create an interaction which modified its current snippet links accordingly

      adjustable snippet ranges, letting your emergent insight impact your original highlighting/annotation sounds like a very interesting idea. Not because you're pinpointing the info at source more accurately, but because the emergent purpose of your sensemaking reflects back on your source material. It shifts the exact point where your Surprisal originates around.

    6. Giving a cluster a name can impose formality prematurely, adding friction to the process.

      Naming clusters can be incorporated into sensemaking efforts though, when not used as result but as intermediate step. As in [[2 step archetype extraction 20121130152904]]

    7. we rarely know the shape of our categories in advance. Often we’re just reacting: “this seems important”; “this is related to that”; “this makes me think of…”; and so on.

      exactly. Tags are emergent structure, and are not per se to describe the information stated nor to be used as a taxonomy. Vgl [[%On Tagging 20200818120917]] as associative emergence, as search/find history, as pivots in an exploratory path etc.

    8. Text as a medium for sensemaking. In QDA tools, the “working document” where you make sense of your excerpts might be a spreadsheet, or a database query, or a whiteboard. By contrast, Latticework emphasizes a textual canvas, where freeform notes and snippets can mix arbitrarily. That mainly comes from a difference in the role of the snippets: we view them less as “evidence” or “data points”, and more as “kindling” which might be consumed and discarded on the way to insight. In the latter setting, when even the problem being solved is undefined, the only way forward is often to write in circles, until some sense starts to emerge. This writing may weave chaotically between new observations and snippets from old documents. Some QDA tools, like Dovetail, include freeform text editors, but their affordances emphasize communication to stakeholders, rather than sensemaking.

      This is good way to make the distinction with qualitative research tools, incl. those where the narrators of qualitative bits do their own signification which then serves as filters. Tagging like those two types serve a different purpose, spotting patterns 'out there' rather than provoking thinking 'in here'. Both useful and not unrelated, but different activities. The 'evidence' vs 'kindling' metaphors make sense to me. Diff points of application.

    9. Discontinuity with source material. Most digital canvases, like Muse and Kinopio, aren’t designed for the workflow we’ve been discussing. They’re not tightly integrated with a reading environment. If you just paste plaintext snippets into them, the resulting cards aren’t linked to the source document

      This is where I derive value from Excalidraw as Obsidian plugin: text and image are joined in the same note. And it can have hyperlinks to othern notes, drawings, as well as embed.

      The discontinuity between visual and textual has been a main issue for me for decades

    10. For now, even on the Apple Vision Pro, display resolutions are currently too low to display text at the physical size of a sticky note

      this is problematic even if you ignore the obvious hurdle of having to wear overheavy ski goggles.

    11. Latticework’s portal-based marginalia allow commentary to be created and viewed from either “side” of a snippet link, interchangeably. Snippet links can be serialized to standard URLs in standard Markdown plaintext. (Modern systems only support links to blocks, not arbitrary text ranges. For block links, Obsidian uses non-standard anchors; others use proprietary database formats.) Snippet links can be quickly created (either from source or at the destination) using key commands. Transcluded snippets can be collapsed to increase density, and re-expanded when needed. Pane-based navigation allows users to preview and visit links while maintaining a consistent view of the linking pane.

      5 reasons L's bidirectionality is different to pkm tools / Xanadu. The first two are most key imo: they can be initiated from both sides of a link, and result in the same thing. (e.g. diff from [[Webmention 20200926203019]], and two the links are standard URLs (in standard Markdown), whereas Roam / Notion abstract them away in a db, moving outside their role as viewer, and Obs maintains its viewer role, but adds things to the notes not obviously interpretable outside of it.

      I'd add that the linked snippets are a different unit of linking from what Obs et al support. Much closer to the granularity where the knowledge work is done. Surprisal I rarely find in a paragraph, mostly in part of a sentence. Questions latch onto a single word sometimes.

    12. Snippet links are a kind of hypertext, and embedded snippet links are a kind of transclusion. Originally proposed by Ted Nelson as part of his Xanadu system, transclusions present part of one document within another, while maintaining bi-directional links for navigation and orientatio

      Bidirectionality here explicitly tied to Ted Nelson's Xanadu. Call block transclusion in pkm tool transclusion "primitives" which sound like a right charcterisation. Say Latticework differs from both

    13. Latticework’s design evolved through many iterations, driven in large part by user interview and observation sessions. Through our personal networks and the Obsidian forum, we recruited experienced Obsidian users who needed to distill some insight from a large collection of unstructured notes. We’d like to discuss some observations from those sessions, and from our own use of the system.

      I did #2024/02/01 https://www.zylstra.org/blog/2024/02/matthew-and-andy-watched-me-test-the-obsidian-reference-plugin/ where my own similar observations are captured. - shifting from highlighting to linking as emergence occurs - structure is earned over time - keeping the copy commands straight was hard (I kept forgetting too) - preview and multiple panes is what I did too, but it seemed to clash with the plugin then - selection of snippets is not blocks, but phrases inside par's and sentences. Not whole blocks (and this is why I hardly use block links inside my notes) - after paraphrasing collapsing snippets keeps overview possible, or to collect examples, and treat list as tasks, collapsing when done.

    14. We’ve been careful to implement Latticework’s features in the same spirit. Snippet links are stored as ordinary links using standard W3C Selector URL fragments to specify an arbitrary text range

      Using Latticework does not break the 'Obsidian is only a viewer' principle cf [[3 Distributed Eigenschappen 20180703150724]]. It adds markdown style links according to W3C selector url standard. Nice, because it maintains readable plain text files.

    15. Alongside disorientation, working memory overload is one of the biggest problems when distilling these large unstructured documents. We believe that’s why people in these situations so often try to collect everything important into once place: that way, everything can be viewed at once, and it’s possible to notice connections and themes without relying on working memory. Unfortunately, as snippets accumulate, the working document itself can become quite long—leaving you stuck scrolling around, trying to remember where everything is.

      The processing document can get as unwieldy as the source material for which it is a solution. Latticework lets you collapse stuff therefore.

    16. Latticework uses a similar pane-aware interaction

      This pane awareness is what seemd to clash with some other plugin I run. At least it did in feb. I notice their code repo still warns about clashes with other plugins and to run it in a separate vault with no other plugins.

    17. While you’re gathering these snippets, you may also want to capture observations about them. Each workflow has a natural way to handle this. If you’re reading a source document with a highlighter, you can write comments in the margins. If you’re copying snippets into a working document, you can type observations alongside them. As with highlighting and copying, Latticework makes these operations interchangeable.

      adding small observations to either the foraging or sensemaking side of things is reflected in the other. Another bi-directionality. Nifty, also because this is exactly what happened to me when I tried out an early version with Matt/Andy watching. Working with material leads to new thoughts/observations which I threw in for later follow-up/expansion. It allows me to capture my conversation with a text both as annotation at source, and as refinement in the working doc.

    18. You’ll get the same result no matter which direction you go—a highlight in the source document and a snippet link in the working document. Conceptually, highlighting doesn’t actually modify the source document. Highlights are a dynamic style applied to all the snippets linked in your working document. So if you delete a snippet link, the corresponding highlight will disappear, too

      Bi-directionality is a key feature in Latticework, which is great. At the same time, on the source end it is also ephemeral. If your remove a linked snippet from the sensemaking document, the highlight, which is just a styling element, gets removed from the source. The source is not modified to produce the highlight. (Any permanent link to source should be made consciously, which is right) Bidirectionality, other than linking seems to me a key affordance in #pkm, something that not now exists in either my annotations / reading / processing flows. #openvraag: where in my workflows would bidirectional trace leaving be useful.

    19. Latticework’s main goal, then, is to enable fluid movement between these foraging and sensemaking stances. By extension, that means fluid movement between acting on source documents (which emphasize foraging) and on your working document (which emphasizes sensemaking)

      Latticework sees foraging as tied to source, and sensemaking as tied to working document, and aims to make the movement between the two fluid, so you can shift focus between the two docs and thus the two activities. It leaves traces of your work in both (vgl [[Hoe emergence tot stand komt 20040513173612]] for the role of such longer traces to more easily stumble across in emergence.)

    20. this process isn’t linear. It’s often convenient to do a bit of preliminary sensemaking in the midst of foraging; conversely, observations you uncover during sensemaking will often lead to another round of foraging, and so on, in a loop.

      Making sense of material is not a linear process of ever more refinement, as e.g. Tiago Forte suggests with [[Progressive summarising 20200922080651]]. Siu/Matischak embrace the non-linear, recognising you go from 'foraging' (their term, great, K-garden style) to annotating, rearranging, noting an idea, back to foraging, back to rearranging etc. This is a key thing imo.

    21. Latticework is built to support the workflow we described in the introduction

      The video demo also shows adding comments to a snippet either in source or in the sensemaking document. I wonder if they put that in the released plugin (the say it doesn't do everything they did in the research project)

    22. when you’re trying to make sense of a confusing situation, you need to get everything into one place, where you can see, rearrange, and elaborate the pieces into a new whole.

      Intended effect of Latticework plugin (great name btw) Latticework allows you to fetch snippets in one note, and paste untalterable into another, with a link added in the original and copy. In the new note you can rearrange, paraphrase etc, purposefully add a link to source material, and otherwise do away with the snippet over time. Allows a better overview of what comes from where etc, preventing getting lost in the source material, which often happens.

      As annotations already flow into my notes this helps reinforce their use.

    23. This is the 'final' result of [[Matthew Siu]] [[Andy Matischak]] research into an Obsidian plugin for making sense of several sources into one, emerging an outline. I tested an earlier beta on #2024/02/1 [[Andy Matthew Obsidian plugin]] https://www.zylstra.org/blog/2024/02/matthew-and-andy-watched-me-test-the-obsidian-reference-plugin/ I stopped using it after a few weeks due to clashes with other plugins I could not pin down. At first glance this is a good description of the process and intended purpose. Re-installed this version of the plugin.

    1. In an age where "corporate" evokes images of towering glass buildings and faceless multinational conglomerates, it's easy to forget that the roots of the word lie in something far more tangible and human: the body.In the medieval period, the idea of a corporation wasn't about shareholder value or quarterly profits; it was about flesh and blood, a community bound together as a single "body"—a corpus.

      Via [[Lee Bryant]]

      corporation from corpus. Medieval roots of corporation were people brought together in a single purpose/economic entity. Guilds, cities. Based on Roman law roots, where a corpus could have legal personhood status. Overtones of collective identity, governance. Pointer suggests a difference with how we see corporations as does the first paragraph here, but the piece itself sees mostly parallels actually. Note that Roman/medieval corpora were about property, (royal) privileges. That is a diff e.g. in US where corporates seek to both be a legal person (wrt politics/finance) and seek distance from accountability a person would have (pollution, externalising negative impacts). I treat a legal entity also as a trade: it bestows certain protections and privileges on me as entrepreneur, but also certain conditions and obligations (public transparancy, financial reporting etc.)

      A contrast with ME corpus is seeing [[Corporations as Slow AI 20180201210258]] (anonymous processes, mindlessly wandering to a financial goal)

    1. Gilles Deleuze cites Eco's 1962 book The Open Work approvingly in his seminal 1968 text Difference and Repetition, a book which poststructuralist philosopher Jacques Derrida is said to have also taken inspiration from

      [[Difference and Repetition - Wikipedia]] v Gilles Deleuze refs The Open Work by Umberto Eco.

    1. https://web.archive.org/web/20240916134240/https://climbtothestars.org/archives/2024/09/15/things-i-use-and-things-i-dont/

      [[Stephanie Booth]] continues from an April posting about seeing spaces as there so serve me, making cleaning/tidieing a service to future-me, and talks about things you use and don't (from her ADHD perspective.) Living space as user interface.

    1. https://web.archive.org/web/20240916134154/https://climbtothestars.org/archives/2024/04/28/my-space-is-there-to-serve-me/

      [[Stephanie Booth]] on keeping things tidier around the house. from the perspective of seeing space as something that serves me. Reframes cleaning not as reactive but as pro-active in aiding my future self. I once, mid 90s, wrote a column on cleaning/decluttering as a personal battle against entropy, reducing entropy and thus postpone the heat death of the universe. Heck, the very def of life is decreasing entropy around itself, as per James Lovelock in Novacene (2019).

    1. Geoffrey Nunberg starkly revealed in 2009 in the Chronicle of Higher Education

      https://web.archive.org/web/20200730082905/https://www.chronicle.com/article/googles-book-search-a-disaster-for-scholars/ https://www.chronicle.com/article/googles-book-search-a-disaster-for-scholars/ paywalled though. The older archived link above has it in full text. Full text [[Googles Book Search A Disaster for Scholars 20240916073335]]

      Nunberg on the issues with Google Books

    2. there has been no serious attempt by digital media developers to engage in a constructive public dialogue with historians of information and leading librarians. There is, perhaps, a reason for this. As Geoffrey Nunberg starkly revealed in 2009 in the Chronicle of Higher Education, Google cannot celebrate the history of indexing and cataloguing because it would draw attention to its matrix of errors. As of yet, Google Books does not work as an accurate system of cataloguing and searching for books. Nunberg showed that the seemingly clunky nineteenth-century Library of Congress Classification system is still more accurate.

      A point worth repeating. I think there is a strong parallel here with algogens. The way 'progress' in released models is celebrated by e.g. Donald Clark. It beats a PhD exam, it does CT etc. What does comparison with their deep roots yield though? Keep history short so you may be the biggest giant of all time.

    1. https://web.archive.org/web/20240916043530/https://euansemple.blog/2024/09/13/bending-the-truth/

      Euan Semple describes how he has to fill in an online appointment form for medical care because his doctor asked him to make an appointment, but none of the pre listed answer options match that case. It reads like #prompting #promptengineering as we do in #algogens You change the input because of a desired output, but the input itself is just that means and becomes meaningless in the process. Yet in this case that input is kept as 'truth' in a database, impacting #dataquality

    1. Saul Justin Newman's 2018 paper criticising some papers wrt longevity and aging. Says the results can be generated by having a few randomly distributed age-misreporting errors. Barbi et al's models turn out to be sensitive to that. Barbi posit their data means there's an evolutionary dimension to their aging data, whereas Newman says it's just faulty data that causes the effect. Won an 2024 Ig Nobel for this topic.

      https://doi.org/10.1371/journal.pbio.3000048

    1. If they don’t acknowledge their errors in my lifetime, I guess I’ll just get someone to pretend I’m still alive until that changes.

      Ha!

    2. analysing the last 72 years of UN data on mortality. The places consistently reaching 100 at the highest rates according to the UN are Thailand, Malawi, Western Sahara (which doesn’t have a government) and Puerto Rico, where birth certificates were cancelled completely as a legal document in 2010 because they were so full of pension fraud. This data is just rotten from the inside out.

      Longevity data from the UN says researcher is highly suspect, given where they report highest rate of centenarians. Those reaching are often, poor, lacking in administrative systems, or even without government. Says data is fully untrustworthy from the start.

    3. Longevity is very likely tied to wealth. Rich people do lots of exercise, have low stress and eat well.

      certainly been that way through the ages, no reason it shouldn't be like that now.

    4. The clear way out of this is to involve physicists to develop a measure of human age that doesn’t depend on documents. We can then use that to build metrics that help us measure human ages.

      Relying on documentation for age measurement is highly problematic. Yet it determines a lot in terms of pension rates, insurance and health care cost planning.

      Researcher proposes developing a way to measure human age independent of documentation. (what would that be? telomeres? x-rays (like they do to determine where refugees are rightfully claiming to be underage?))

    5. Regions where people most often reach 100-110 years old are the ones where there’s the most pressure to commit pension fraud, and they also have the worst records. For example, the best place to reach 105 in England is Tower Hamlets. It has more 105-year-olds than all of the rich places in England put together. It’s closely followed by downtown Manchester, Liverpool and Hull. Yet these places have the lowest frequency of 90-year-olds and are rated by the UK as the worst places to be an old person

      High registered age caused more likely by bad admin and fraud pressures. Worst places in terms of aging, and listing the lowest number of 90 yr olds in the UK have the highest of 100yr olds.

    6. According to the Greek minister that hands out the pensions, over 9,000 people over the age of 100 are dead and collecting a pension at the same time. In Italy, some 30,000 “living” pension recipients were found to be dead in 1997.

      Greek and Italian centenarians are regularly dead / fraud cases.

    7. In Okinawa, the best predictor of where the centenarians are is where the halls of records were bombed by the Americans during the war.

      Largest predictor of having many 100+ yr olds in Okinawa is the records being destroyed in WWII.

    8. The same goes for all the other blue zones. Eurostat keeps track of life expectancy in Sardinia, the Italian blue zone, and Ikaria in Greece. When the agency first started keeping records in 1990, Sardinia had the 51st highest old-age life expectancy in Europe out of 128 regions, and Ikaria was 109th

      Researcher says Eurostat data in 1990 https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Mortality_and_life_expectancy_statistics#Life_expectancy_at_age_65 (note that link does not seem to give that data) list EU blue zones actually quite low. Sardinia 51st, Ikaria (Greece) 109th. Research estimates 72% of Greek old age cases are untrue or fraudulent.

    9. The Japanese government has run one of the largest nutritional surveys in the world, dating back to 1975. From then until now, Okinawa has had the worst health in Japan. They’ve eaten the least vegetables; they’ve been extremely heavy drinkers.

      Japanese so-called blue zone Okinawa actually has a very bad health and dito eating/drinking habits.

    10. Japanese government review in 2010, which found that 82% of the people aged over 100 in Japan turned out to be dead. The secret to living to 110 was, don’t register your death.

      Supposedly centenarians in Japan turn out to be mostly unregistered deaths.

    11. https://web.archive.org/web/20240915125021/https://theconversation.com/the-data-on-extreme-human-ageing-is-rotten-from-the-inside-out-ig-nobel-winner-saul-justin-newman-239023

      Saul Justin Newman won an Ig Nobel for finding most claims about people living over 105 are wrong / faulty.

      Blue zones wrt human aging are actually bad data zones. Either because actual birthdata is missing (war, bad administrative quality) or pension fraud is rife.

      Jumped out at me as I just yday saw snippets of a docu about increasing personal longevity which visited Sardinia, one of the blue zones.

    1. the rest of the country had fully moved on to beating the drums for war and violence, using our city as their pretense. I grew increasingly protective and defensive about New York City, about what it means to those of us who live here, and to this day I have a white-hot resentment of how our town’s grief was used to justify hateful violence without our consent.

      I was at Penn when the news of the first strikes on Afghanistan rolled visibly through the main hall. People fell to their knees, people cried. I didn't know what caused that, until I saw a screen in a sports bar showing the news a minute later. Suddenly there were news crews all over too.

    2. But amidst the obvious, overwhelming grief, my strongest memory of that time was of a feeling that can only be described as a deep and abiding love. There was a profound, shared humanity, and extraordinary kindness was shared between complete strangers on an unconditional basis, for days and weeks on end. It sounds like a fairy tale, or the kind of thing that happens in a movie, or that would get dismissed as impossible by the "smart", cynical view. It really did, happen, though. People went through an unimaginable trauma, and an impossible circumstance, and we genuinely spent hours or even days thinking it might be the end of the world, and the reaction that happened was that people came together spontaneously to take care of each other in ways both minuscule and profound

      Vuurwerkramp Enschede 2000 similarly brought people together. It made me feel really rooted, a local, for the first time, although I had been in the city for 12yrs. Brought this up in my tech phil paper comparing NYC (I was there 3 weeks after) and Enschede and the coping strategies people deploy in such moments. Down to the exact same rumours going round in both situations.

    3. It only took days for public spaces to be fully occupied by soldiers with long guns, a full occupying force that was the first sign of the new militarized reality that broke through the camaraderie and care that everyone was showing to each other.

      Similar to Enschede Vuurwerkramp. Even though it was an accident not deliberate. Highways into town were closed off to keep gawkers away. I cycled to work 2 days after and came across lorries with soldiers being unloaded, to prevent looting after the fires went out. That never happened because it pulled the town together, and looting wasn't a response.

    4. Every public space was papered in flyers listing those who were "missing", all in similar designs, featuring whatever photo people had most recently scanned of their loved one. In those first 48 hours, every subway stop and telephone pole and bus station was covered, and then the thin copier paper almost immediately began to break down. The decaying and torn posters with photos of people’s loved ones were reduced to tatters just as quickly as we all realized that nobody would be getting dug out of that rubble pile.

      Still there when I was in NYC 3 weeks later.

    5. Anyone who says they were here then, and doesn’t mention the smell… well, they’re flat out lying.

      Dash is right here. Smell, and in Enschede's case the shockwave too. The shockwave going through your body was the dividing line between those who were there that day and those who weren't. It was and is a clear tell 24 yrs on.

    6. That was the emotional context, but there was also the visceral, sensory experience of being around those days. The most pervasive part was the acrid, searing smell of electrical fire, from the smoldering rubble pile that would keep burning downtown for the better part of a year. It pervaded everything, and you could be almost anywhere in town and the wind would change and then suddenly the smell would catch you off guard and you’d be crying again.

      When I stood at ground zero a few weeks after, the smell is what made me cry then. It catapulted me suddenly back to the explosions in my home town a year before. That a smell could so abruptly and vividly surface those emotions took me by suprise.

    7. Shortly after the news had broken, I had gone outside into the street. We all did. Everyone poured out onto the sidewalks and into the streets themselves (all traffic was shut down in a way that we wouldn’t see again until Covid hit)

      Same in Enschede 2000 we just had to go out. https://www.zylstra.org/blog/2020/05/enschede-13-5-2000/

    8. Later, many of the people who checked in on me that day, who'd been those "imaginary" online friends, became the people who introduced me to my wife, who greeted my child, who held me when I grieved, who rejoiced as we built careers and lives together.

      Anil Dash in a #2001/09/11 remembrance post describing how online 'imaginary' friends became a core part of his social life over time. This is true for me/us too, and I think something tied to that time of early blogging and the meet-ups and events that emerged from it. Vgl [[Building community out of strangers – Tracy Durnell]] and [[Nancy White]]'s birthday party in Seatlle in '08 when her neighbours greeted me as 'ooh you're one of her imaginary friends'

    1. AI’s effect on our idea of knowledge could well be broader than that. We’ll still look for justified true beliefs, but perhaps we’ll stop seeing what happens as the result of rational, knowable frameworks that serenely govern the universe.  Perhaps we will see our own inevitable fallibility as a consequence of living in a world that is more hidden and more mysterious than we thought. We can see this wildness now because AI lets us thrive in such a world.

      AI to teach us complexity and sensemaking / sense of wonder in viewing the world. It might, given who builds the AIs I don't think so though. Can we build sensemaking tools that seem AI to the rest of us? genAI is statistical probabilities all around, with a hint of randomness to prevent the same outcome for the same questions each time. That is not complexity just mimicry though. Can sensemaking mimic AI to, might be a more useful way?

    2. Michele Zanini and I recently wrote a brief post for Harvard Business Review about what this sort of change in worldview might mean for  business, from strategy to supply chain management. For example, two  faculty members at the Center for Strategic Leadership at the U.S Army War College have suggested that AI could fluidly assign leadership roles based on the specific details of a threatening situation and the particular capabilities and strengths of the people in the team. This would alter the idea of leadership itself: Not a personality trait but a fit between the specifics of character, a team, and a situation.

      Yes, this I can see, but that's not making AI into K, but embracing complexity and being able to adapt fluidly in the face of it. To increase agency, my working def of K. This is what sensemaking is for, not AI as such.

    3. machines that bring us more accurate knowledge

      the jury is still very much out that they might.

    4. Newton’s Laws, the rules and hints for diagnosing a biopsy — to say that they fail at predicting highly particularized events: Will there be a traffic snarl? Are you going to develop allergies late in life? Will you like the new Tom Cruise comedy? This is where traditional knowledge stops, and AI’s facility with particulars steps in.

      AI or rather our understanding of complexity that needs to step in? The examples [[David Weinberger]] gives of general things that can't do particularised events are examples of linear generalisations failing at (a higher level of) complexity. Also I would say 'prediction' which is assumed to here be the point of K is not what it is about. Probabilities, uncertainties (which is what linear approaches do: reduce uncertainties on a few things at the cost of making others unknowable within the same model, Heisenberg style), that in complexity you can nudge, attenuate etc. I'd rather involve complexity more deeply in K than AI.

    5. [[David Weinberger]] on K in the age of AI. AI has no outside framework of reference or context as David says is inherent in K (next to Socrates notions of what episteme takes). Says AI may change our notion of K, where AI is better at including particulars, whereas human K is centered on limited generalisations.

    1. "A few weeks ago, we hosted a little dinner in New York, and we just asked this question of 20-plus CDOs [chief data officers] in New York City of the biggest companies, 'Hey, is this an issue?' And the resounding response was, 'Yeah, it's a real mess.'" Asked how many had grounded a Copilot implementation, Berkowitz said it was about half of them. Companies, he said, were turning off Copilot software or severely restricting its use. "Now, it's not an unsolvable problem," he added. "But you've got to have clean data and you've got to have clean security in order to get these systems to really work the way you anticipate. It's more than just flipping the switch."

      Companies, half of an anecdotal sample of some 20 US CDOs, have turned Copilot off / restricting it strongly. This as it surfaces info in summaries etc that employees would not have direct access to. No access security connection between Copilot and results. So data governance is blocking its roll-out.

  6. Aug 2024
    1. p46 Ecology has "succeeded" in changing politics "by introducing objects that had not previously belonged to" politics, but also failed because it's so often a marginalised party, and often placed in opposition to "economics" etc, the opposing needs then given greater salience. -- This is the core concern that comes back in his 2023 co-authored booklet: ecology is really about everything, not a fringe interest -- it encompasses economic concerns etc -- so how can we turn that truth into a political reality?

      Key observation, ecology surrounds everything. Vgl [[De Europese dataspace als eenheidsmarkt 20200120144254]] waar mensen niet snappen dat je er per def in zit.

      Comes from [[On the Emergence of an Ecological Class by Bruno Latour and Nikolaj Schultz]] january 2023. Schultz is a Danish sociologist, Uni CPH and Aarhus School of Achitecture.

    2. https://web.archive.org/web/20240802092537/http://mcld.co.uk/blog/2023/politics-in-the-new-climate-regime-a-review-of-latour-2013.html

      Dan Stowell on [[Down to Earth by Bruno Latour]] I really should read more from Latour. wrt [[Latours Actor Network Theory ANT 20201129164732]]

  7. Jul 2024
    1. OLDaily exists because of my practice of paraphrasing anything I read

      For over 2 decades I struggle with this. Because my paraphrasing is mostly unsuited for my blog, regularly because it is mixed language and often bc it contains words that serve as shorthand. A blog is more performance, written for not-me, while annotation is for me, and after editing might be publishable for not-me. Annotating publicly here in .h, even if the readership is highly limited, introduces a level of performance-awareness for me. At times I've done annotated link blogging, but it never became a practice as with [[Stephen Downes]].

    1. https://web.archive.org/web/20240725080148/https://fossacademic.tech/2024/02/11/Move-Slowy-Preview.html [[Move Slowly and Build Bridges by Robert Gehl]] is a forthcoming book on 'Mastodon, the Fediverse, and the Struggle for Ethical Social Media'. This post gives summaries per chapter of the draft. Ch1 focuses on Xodus after Musk only. Odd, there are many examples where costs of leaving socmed platforms played a role, which may well be more informative than just n=1. Ch 2 on AP as protocol Ch 3 CoC as a social layer on networked tech (no regard here it seems for the fact that human networks exist outside of tech and span multiple tech platforms simultaneously, and themselves have social norms that guid behaviour regardless whether codified in CoC or expressed in federation choices) Ch 4 on blocking and defederation as a needed safety tool. Socially I think the default might need to be the other way around, federating is the choice, defed the default, as it is how we do it socially irl. We are not unwelcoming to newcomers in a group but we are wary. Ch 5. Who pays for the fediverse infra. Short answer is we all do/many of us do. I pay my own instance, and also contribute hours to the governance of the largest Dutch instance. Good point about people forgetting there are other bizz models for digital media than what centralised adtech kraken do. Ch 6. on eco impact of socmed, and need of awareness what running this stuff costs ecologically. Seems to then pivot to how degrowth and solarpunk people using fediverse tech to interact, which is not the same thing. (It says mitigate, but compared to what, X? ) Ch 7. Threads , or the corp reaction to a growing fediverse. Conclusion, this is where the ethics will be discussed finally.

      Forthcoming w Oxford Univ Press. Not sure this is for me, reads like a snapshot with a limited time window in which it might be informative. Perhaps of interest for [[Stichting ActivityClub Bestuur Hoofdnote]].

    1. nav visit to Centre Pompidou Metz [[Daglog 22-07-2024]] [[Différence et répétition by Gilles Deleuze]] 1968 (fr, eng tr. 1994)

      Deleuze: https://en.wikipedia.org/wiki/Gilles_Deleuze 1925-1995

      n:: Repetition is set apart from generalities (cycli, gelijksoortigheid, laws also of nature, meaning disconnected events / situations behaving the same way because of e.g. gravity) Repetition is series of events or things, with a provenance (B repeats A, is repeated by C). This makes such a train of things/events unique. Art has a lot of such repetition because [[Steal Like an Artist by Austin Kleon]]

      He defines repetition as 'a difference without a concept' p13. Difference precedes repetition, also repetition further creates difference. n:: Posits difference as an affirmation rather than Hegelian negation / opposition, and it seems sees both differences and repetition as building blocks of identity, rather than resulting from comparing identities / things that exist. Posits to see differences more like differentials and derivatives, i.e. as part of a thing itself yet slightly outside it too, rather than comparison with something else. I like that, both point towards the role of [[Feedback Cybernetics 20200402161040]] and derivatives as function sensitivity between inputs and outputs, also point to an actor (in a network of feedbacks) and autonomous response. All this at first glance puts differences (and repetition by extension) in the realm of conscious actors, networks and social systems ([[Sociale Systeemdefinitie van Luhmann 20230211132804]]) Talks about repetition as complex repetition, which puts it in the realm of [[Hoe emergence tot stand komt 20040513173612]]

      Zie ook H III en IV, V on how he relates this to thought and ideas.

      https://openlibrary.org/books/OL1493822M/Difference_and_repetition https://www.amazon.nl/Difference-Repetition-Bloomsbury-Revelations-English-ebook/dp/B08X1YMSC6/ Kindle version 20Euro. Bloomsbury version, people warn it lacks the index / table of content.

    1. https://web.archive.org/web/20240714180109/https://hyperphor.com/ammdi/Agency-Made-Me-Do-It

      Mike Travers site is a wiki more than a blog but not quite a wiki either. It's Logseq based and tied to a self-rolled publishing tool. Also uses Zotero in their stack. Seems he transformed his blog into this garden in Oct 2021.

    1. Verbeterpunten zijn onder andere het beperkte bereik van de doelgroep

      This reads like classic 'it's not the same as X'. And an overestimation of actual human accounts on X in the Netherlands. Although yes, Dutch accounts on Mastodon aren't many, they are easily found, and interaction is up.

    2. https://web.archive.org/web/20240713075513/https://www.digitaleoverheid.nl/nieuws/1-jarig-mastodon-overheid-blikt-terug-en-vooruit/

      Dutch public sector has experimented with Mastodon for a year now. Pilot will run until December 2024. Started with 20 entities, now 40 active accounts. Plus is the easy recognition as authentic source (it runs on social.overheid.nl). They will open up to all levels of civil service in 2025. Good development.

    1. https://web.archive.org/web/20240712191025/https://x28newblog.wordpress.com/2024/07/12/personal-ai-beyond-the-distractions/

      Matthias Melcher on (personal) AI and which affordances it may provide or not. Vgl n:: Mark Meinema's remark about how it os much better at switching role than a human (explaining the same thing for a 5yr old or expert)

    1. https://web.archive.org/web/20240712174702/https://www.hyperorg.com/blogger/2024/07/11/limiting-ais-imagination/ When 18m ago I played with the temperature (I don't remember how or what but it was an actual setting in the model, probably something from huggingface) what stood out for me was that at 0 it was immediately obvious it was automated, and it yielded the same answer to the same prompt repeatedly as it stuck to the likeliest outcome for each next token. At higher temps it would get wilder, and it struck me as easier to project a human having written it. Since then I almost regard the temp setting as the fakery/projectionlikelihood level. Although it doesn't take much to trigger projection, as per Eliza. l n:: temp v modellen maakt projecte mogelijk

    1. I read an early draft in April and know it’s excellent. If knowledge management, zettelkasten, or writing are of interest to you, this is one of the best books on these topics. If you’re just getting into these areas, it’s required reading and will advance your practice more quickly than any four other books you’ll find.

      [[Chris Aldrich]] is enthousiast over [[A System for Writing by Bob Doto]] bij publicatie want hij las een preprint versie.

      Quick glance at Amazon shows Doto adds in illustrations of his processes, might be interesting.

    1. https://web.archive.org/web/20240711102003/https://longnow.org/ideas/moonbound/

      via Frank Meeuwsen https://frankmeeuwsen.com/2024/07/10/dragons-on-the.html

      On writing [[Moonbound by Robin Sloan]] , Sloan makes a few remarks about his notes that support his writing process.

    2. When I sit down to begin things, I just marinate in my own stew for a while. It'll be a couple of weeks and my task at that time is to go through those notes of all those things that caught my eye at some point. As you spend time with them, you start to gather things together and you start to see themes emerge or clumps. There are characters in here that are three different notes that sort of found each other and I put them together

      His writing process is for several weeks to go through notes, just looking through them, let it mingle in his head. Then put things together and look for emergent clusters / topics.

    3. I have a very diligent and disciplined note-taking practice. I have many other weaknesses as a writer, but I think one of my Olympic-caliber strengths is being disciplined about capturing interesting thoughts and ideas I come across. It's a mix of little bits of science stories that I encounter, things I overhear people saying, and things that occur to me when I’m doing something else that I dictate into a voice note and send it. I capture all that stuff and I collect it all into one big stew pot. It’s a really productive process.

      Sloan says he has a very 'disciplined' note taking process. But continues he actually means he is always capturing things, thoughts, stories, overheard conversations. Uses voice dictation.