31 Matching Annotations
  1. Mar 2021
    1. Facilitating collaboration in a digital tool is a key multiplier for creativity.

      so youre arguing that enabling collaboration in digital tools is the great realization of all of "computationally creative" tools? Nah

  2. Feb 2021
    1. Game developers no longer have to manage every piece of their economy: from the supply of resources to pricing to capital controls. Instead, they can let free markets do the heavy lifting!

      I don't think game devs want this necessarily

    1. David Dobrik's action-packed 4-minute videos are doing so well). We are forming the habit of seeking the next hit of dopamine faster. TikTok endulges this desire.

      Is that bad for us as a species?

    1. The main counter to social tokens is that they commoditize social activities in a way that makes them lose their intrinsic social value. Instead of sharing an article because you love it, you share it to get a coin.

      theres mental friction to transacting so much and I imagine this is going to be tiring

    1. distributing their tokens through the game to drive network effects and and value for the underlying assets. 

      I feel like the indented consequence is people checking out your game with the tokens you airdropped them -- but what would really happen is people would just immediately sell them on the open market.

    1. A few of these folks even go above and beyond monetary contributions and put in their time in actively spreading the word.

      key word is few -- how big is the market of people who actually actively engage within the community

    2. The service included a personal email address (yourname@davidbowie.com), access to exclusive music from Rolling Stone, exclusive content, and live chats Bowie and his friends.

      the first social token

  3. Jan 2021
    1. but I hadn’t seen a convincing killer app used by regular people until I discovered the resurgence of NFTs.  

      I still don't think regular people are using NFTs

    1. power plant.

      For a primer they really don't take any liberties in making this thing easy to understand. Why not just say, you know what? Negative emmissions are like a vacuum sucking up bad gases. Make it simple

    2. This primer

      Politicians voting on climate change policy by assuming the next generation will have a more positive outlook -- that is such a dangerous, lazy, yet predictable position to take

  4. Nov 2020
    1. Apple would do its learners a huge service by providing them an Xcode equivalent on the iPad. Not because it would suddenly be easy to make applications and release them on the App Store, but because it would give iPad-bound learners a chance to engage that challenge and grow into true application developers in time.

      learning by doing -- exploring -- poking around

    1. Perhaps most importantly, Embedded Education can contribute to a more equitable and effective distribution of knowledge, skills, and information. By leveraging the product’s existing assets and infrastructure, platforms can deliver education and reach underserved communities much more efficiently than if one had to create new educational content from scratch.

      I don't understand how this is true -- you still have to develop a product.

      How is that any different than developing content

    2. We know a company has created something special when we see organic lessons and tutorials being created beyond what the product is intended to do.

      I'd agree with this -- but I'd agree that what is special is the product they've created, not the educational ops

    3. Robinhood launched “Robinhood Learn” to teach people the basic concepts of investing and acquired the newsletter “Snacks” to produce business-related educational content. How about building a website? Browser-based web design platform Webflow created Webflow University to teach everything from layout and typography to interactions and 3D transforms. How about conducting a team brainstorming session? How about starting a business?

      These have all brought the same failings of phase 1 edTech companies in house. I don't think the learnings are any better.

    4. Can you confidently build a secure, functional, and fast web app for your favorite deli downstairs to take orders after being certified as a React expert on Lynda.com?

      To the Public app investing example -- can you confidently do the job of a financial planner after interacting with Public for a month or two?

      No.

    5. Embedded education is the practice of educating people through encounters that they already have with systems that exist primarily for non-educational purposes.

      I'd argue that the example given for public is not deliberately educational, but rather intentional product decisions more in line with social capital theory

    6. EdTech companies in the past decade have delivered a 10x product experience to the consumers through innovating on three main pillars: content delivery, learning experience, and skills credentialing. Take Coursera as an example:

      I'd argue that these three pillars are the wrong things to be "10x-ing"

      The content, the materials, the credentials, none of that has any impact on the learning, in my opinion. Learning happens by doing, and reading material, even from elite universities, is only going to get you so far.

    1. while the genuinely independent-minded worry they might not be independent-minded enough.

      This whole article reads as if being an independent thinker is the golden rod of success

    2. One difficulty here, though, is that people are often mistaken about where they fall on the spectrum from conventional- to independent-minded. Conventional-minded people don't like to think of themselves as conventional-minded. And in any case, it genuinely feels to them as if they make up their own minds about everything. It's just a coincidence that their beliefs are identical to their peers'. And the independent-minded, meanwhile, are often unaware how different their ideas are from conventional ones, at least till they state them publicly.

      Interesting that PG knows EXACTLY how both sides feel!

    1. “Typically the main problem with software coding—and I’m a coder myself,” Bantégnie says, “is not the skills of the coders. The people know how to code. The problem is what to code. Because most of the requirements are kind of natural language, ambiguous, and a requirement is never extremely precise, it’s often understood differently by the guy who’s supposed to code.”

      measuring engineers by the quality of their ability to now what to code

    2. The diagrams make the system’s rules obvious: Just by looking, you can see that the only way to get the elevator moving is to close the door, or that the only way to get the door open is to stop.

      congrats! you invented a state machine.

    3. each of which took a process that used to involve writing lots of custom code and reduced it to playing around in a WYSIWYG interface.

      the problem with abstraction -- if you reduce something down to a WYSIWYG editor with predefined choices -- how do you enable them to accomplish the same things you could accomplish with code?

      to what degree is code a leaky abstraction?

    4. The whole problem had been reduced to playing with different parameters, as if adjusting levels on a stereo receiver, until you got Mario to thread the needle.

      I don't think this addresses or solves the same sort of complexity the article first started with. This feels like it helps fine tune parameters, but I don't see how it enables you to gain any insight into the big messy mess of a million line program

    5. There is an analogy to word processing. It used to be that all you could see in a program for writing documents was the text itself, and to change the layout or font or margins, you had to write special “control codes,” or commands that would tell the computer that, for instance, “this part of the text should be in italics.” The trouble was that you couldn’t see the effect of those codes until you printed the document. It was hard to predict what you were going to get. You had to imagine how the codes were going to be interpreted by the computer—that is, you had to play computer in your head.

      This feels like "tools for thought" michael neilsens article on machine learning augmenting the way we think

  5. Oct 2020
    1. My first week at Zendesk I was asked to fill out a career card which highlighted my professional goals over the next ten years, which included a plan to move up the ranks as an operator

      what the hell is an operator

    1. but upfront payments are a lot riskier, and usually a sign that the platform doesn’t offer creators anything unique.

      there is no social capital tied to the creator so there is no reason for them to post on their own -- thus -- they have to be incentivized with money. True - not sustainable.