The intelligence lives in the static parameters, and the apparent capabilities change radically depending on what you feed into the window.
大多数人认为AI模型的智能来自于其参数和输入内容的结合，但作者认为智能实际上完全存在于静态参数中，输入内容只是触发不同表现的开关。这个观点挑战了主流认知，因为它暗示模型本身是固定的，而变化仅来自于外部输入，这与我们通常认为模型能够通过输入'学习'的观点相悖。
LLMs take knowledge from millions of people who have written web content or posted in places like Reddit and Wikipedia, interacted with chatbots, and generated other types of data, and make that available to individuals on demand.
这一观点挑战了'人工智能'的术语本身，提出'集体智能'可能是更准确的描述。LLM实际上是数百万人的集体知识产物，这一反直觉的视角揭示了AI与人类创造力之间的复杂关系，挑战了AI作为独立实体的传统理解。
Claude Opus 4.7 is the best model in the world for building dashboards and data-rich interfaces. The design taste is genuinely surprising—it makes choices I'd actually ship.
AI在设计和审美判断上的进步令人瞩目，'design taste is genuinely surprising'表明AI已经超越了功能性，开始理解并应用设计原则，这种审美能力的突破将极大扩展AI的应用领域。
M2.7 demonstrates excellent identity preservation and emotional intelligence. Beyond productivity use cases, it also opens space for innovation in interactive entertainment scenarios.
这一声明揭示了AI模型在保持身份一致性和情感智能方面的突破，这不仅是技术进步，更可能开启人机交互的新范式，使AI能够更自然地融入创意和娱乐领域，拓展AI应用边界。
AI models can win a gold medal at the International Mathematical Olympiad but cannot reliably tell time—an example of what researchers call the jagged frontier of AI.
这一矛盾揭示了AI能力的奇特不均衡性，挑战了我们对'智能'的传统理解。AI在高度专业化的复杂任务上表现出色，却在基本常识任务上失败，这暗示当前AI系统缺乏真正的通用智能和推理能力。
understanding how AI works technically
built AI-Info Lit module around this idea - what it is & how it works. Need to consider how this framework might be used to expand/update module.
Common-sense scene completion, spatial reasoning, and plausibility-driven transformation.
令人惊讶的是：UNI-1具备常识场景补全、空间推理和基于可能性的转换能力，这意味着它不仅仅是机械地生成图像，而是能够理解物理世界的基本规律，这种能力使生成的图像更加真实可信，代表了AI理解现实世界的重要进步。
Built on Unified Intelligence, Uni-1 understands intention, responds to direction, and thinks with you.
令人惊讶的是：UNI-1不仅仅是生成图像，而是真正理解用户意图、响应方向并与用户共同思考，这种'共同思考'的能力代表了AI从简单工具向智能伙伴的转变，是AI发展中的一个重要里程碑。
Employing socially appropriate behaviors for agent–user interaction: Any interruptions by a system should be compatible with the social expectations of the user being interrupted and offered automated services. For example, social media feeds may integrate AI-generated and human-generated content without disclosing the source.
Highlight all the sentences that mention Artificial Intelligence
A mixed-initiative interface needs to infer the user's goals so that it can act upon them. Several machine learning techniques are potentially suitable depending on the specific AI problem.
Highlight all the sentences that mention Artificial Intelligence
Mixed-initiative interaction is the idea of organizing interaction in dialogue where both the computer and the human can take initiative. Unlike in the case of an FSM, the computing system can take action without a command from the user; the initiative is mixed.
Highlight all the sentences that mention Artificial Intelligence
Liu and Chilton [488] studied prompt engineering for text-to-image generation
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Liu and Chilton [488] noted that interaction with such models faces a dilemma. While it is possible to input anything as a prompt to such models, users must "engage in bruteforce trial and error with the text prompt when the result quality is poor." The challenge here is sometimes described as prompt engineering—the search for prompts that give the output the user finds adequate for the task.
Highlight all the sentences that mention Artificial Intelligence
New ways of interacting that rely on dialogue keep emerging; at the time of writing this book (early 2020s), large language models such as ChatGPT and Google Bard are making the headlines daily. The interaction with such models is primarily done through text prompts to which the model replies.
Highlight all the sentences that mention Artificial Intelligence
In interaction with interactive systems based on artificial intelligence, mixed-initiative dialogue is crucial. We discuss mixed-initiative interfaces in Section 18.4.
Highlight all the sentences that mention Artificial Intelligence
the acronym AI traditionally stood for artificial intelligence, but I think it's more accurate to think about it as an acronym for alien intelligence because
for - AI - Alien Intelligence, not Artificial Intelligence - It is not an Artifact that we create and control
Three Futures
for - futures - AI - human intelligence - digital feudalism - the great fragmentation - human symbiosis
Introduction: AI is now recently everywhere but we still need humans
for - natural language acquisition - Automatic Language Growth - ALG - youtube - interview - David Long - Automatic Language Growth - from - youtube - The Language School that Teaches Adults like Babies - https://hyp.is/Ls_IbCpbEfCEqEfjBlJ8hw/www.youtube.com/watch?v=984rkMbvp-w
summary - The key takeaway is that even as adults, we have retained our innate language learning skill which requires simply treating a new language as a new, novel experience that we can apprehend naturally simply by experiencing it like the way we did when we were exposed to our first, native language - We didn't know what a "language" was theoretically when we were infants, but we simply fell into the experience and played with the experiences and our primary caretakers guided us - We didn't know grammar and rules of language, we just learned innately
for - report - America's Superintelligence Project - definition - ASI - Artificial Super Intelligence
summary - What is the cost of mistrust between nation states? - The mistrust between the US and China is reaching an all-tie high and it has disastrous consequences for an AI arms race - It is driving each country to move fast and break things, which will become an existential threat to all humanity - Deep Humanity, with an important dimension of progress traps can help us navigate ASI
AI stands poised to reveal its most vital purpose: nurturing thoughtful, capable and intrinsically motivated learners
I wonder how "purpose" is defined here. Is this why LLM applications were developed, or something they were meant to achieve?
For instance, an AI-powered platform might track how many practice problems a student has completed, indicate skills and competencies with which they struggle most, and show how their performance improves over time.
Is this an example of personalization and making AI an ally, or of locking the student into a turbocharged LMS?
on copyright and artistic style
The startup shut down in 2021, citing the cost of litigation.
How much of a defense had they put up since they went out of business?
uled that Ross “meant to compete with Westlaw by developing a market substitute.
could have far-reaching implications. Consider how music and image generators compete.
may be useful in revising the Copyright Card Game to addresss AI
Until some company or scientist says ‘Here’s the proof! We can definitely have a safety mechanism that can scale to any level of intelligence,’ I don’t think we should be developing those general superintelligences.We can get most of the benefits we want from narrow AI, systems
for
quote - AI super intelligence is too dangerous, narrow AI can give us most of what we need - Roman Yampolskiy - (see below) - I don’t think it’s possible to indefinitely control superintelligence. - By definition, it’s smarter than you: - It learns faster, - it acts faster, - it will change faster. - You will have malevolent actors modifying it. - We have no precedent of lower capability agents indefinitely staying in charge of more capable agents. - Until some company or scientist says - ‘Here’s the proof! We can definitely have a safety mechanism that can scale to any level of intelligence,’ - I don’t think we should be developing those general superintelligences. - We can get most of the benefits we want from narrow AI, - systems designed for specific tasks: - develop a drug, - drive a car. - They don’t have to be smarter than the smartest of us combined.
// - Comment - Roman Yampolskiy is right. The fact that the industry is pushing ahead full speed with b developing AGI, effectively the same as the AI superintelligence Roman Yampolskiy is referring to - shows the most dangerous pathology of neo capitalism and Technofeudalism, profit over everything else - This feature is a major driver of progress traps
//
for - AI - progress trap - interview Eric Schmidt - meme - AI progress trap - high intelligence + low compassion = existential threat
Summary - After watching the interview, I would sum it up this way. Humanity faces an existential threat from AI due to: - AI is extreme concentration of power and intelligence (NOT wisdom!) - Humanity still have many traumatized people who want to harm others - low compassion - The deadly combination is: - proliferation of tools that give anyone extreme concentration of power and intelligence combined with - a sufficiently high percentage of traumatized people with - low levels of compassion and - high levels of unlimited aggression - All it takes is ONE bad actor with the right combination of circumstances and conditions to wreak harm on a global scale, and that will not be prevented by millions of good applications of the same technology
Google AI Overviews is the main culprit and poses an existential threat to publishers.
around the AI is um the problem right now as I understand it
for - progress traps - AI - created by mind level that created all our existing problems - AI is not AI but MI - Mineral Intelligence
https://flux1.ai/<br /> Flux AI Image Generator
human beings don't do that we understand that the chair is not a specifically shaped object but something you consider and once you understood that concept that principle you see chairs everywhere you can create completely new chairs
for - comparison - human vs artificial intelligence
question - comparison - human vs artificial intelligence - Can't an AI also consider things we sit on to then generalize their classifcation algorithm?
the brain is Islam Islam is it is lousy and it is selfish and still it is working yeah look around you working brains wherever you look and the reason for this is that we totally think differently than any kind of digital and computer system you know of and many Engineers from the AI field haven't figured out that massive difference that massive difference yet
for - comparison - brain vs machine intelligence
comparison - brain vs machine intelligence - the brain is inferior to machine in many ways - many times slower - much less accurate - network of neurons is mostly isolated in its own local environment, not connected to a global network like the internet - Yet, it is able to perform extraordinary things in spite of that - It is able to create meaning out of sensory inputs - Can we really say that a machine can do this?
for - AI - inside industry predictions to 2034 - Leopold Aschenbrenner - inside information on disruptive Generative AI to 2034
document description - Situational Awareness - The Decade Ahead - author - Leopold Aschenbrenner
summary - Leopold Aschenbrenner is an ex-employee of OpenAI and reveals the insider information of the disruptive plans for AI in the next decade, that pose an existential threat to create a truly dystopian world if we continue going down our BAU trajectory. - The A.I. arms race can end in disaster. The mason threat of A.I. is that humans are fallible and even one bad actor with access to support intelligent A.I. can post an existential threat to everyone - A.I. threat is amplifier by allowing itt to control important processes - and when it is exploited by the military industrial complex, the threat escalates significantly
if we just had a big enough spreadsheet we could get the data in and then we could get you know something like AI or some you know some other computational 00:12:32 process in to help us deal with all this complexity because our little brains can't handle it and my feeling about this is that 00:12:44 actually no
for - adjacency - AI - Nora Bateson - solving wicked problems - no - Human Intelligence - HI - yes - @gyuri
Have you ever had a meaningful conversation with Siri or Alexa or Cortana? Of course not.
That said, I have had some pretty amazing conversations with ChatGPT-4. I've found it to be useful, too, for brainstorming. In one recent case (which I blogged about on my personal blog), the AI helped me through figuring out a structural issue with my zettelkasten.
rtificial intelligence is already everywhere
there's this broader issue of of being able to get inside other people's heads as we're driving down the road all the time we're looking at other 00:48:05 people and because we have very advanced theories of mind
https://www.meetup.com/edtechsocal/events/296723328/
Generative AI: Super Learning Skills with Data Discovery and more!
The AI pin has just been listed o/a 2023-11-10.
Wang et. al. "Scientific discovery in the age of artificial intelligence", Nature, 2023.
A paper about the current state of using AI/ML for scientific discovery, connected with the AI4Science workshops at major conferences.
(NOTE: since Springer/Nature don't allow public pdfs to be linked without a paywall, we can't use hypothesis directly on the pdf of the paper, this link is to the website version of it which is what we'll use to guide discussion during the reading group.)
summary
biology Buddhism and AI
Mills, Anna, Maha Bali, and Lance Eaton. “How Do We Respond to Generative AI in Education? Open Educational Practices Give Us a Framework for an Ongoing Process.” Journal of Applied Learning and Teaching 6, no. 1 (June 11, 2023): 16–30. https://doi.org/10.37074/jalt.2023.6.1.34.
Annotation url: urn:x-pdf:bb16e6f65a326e4089ed46b15987c1e7
A Generative AI Primer on 2023-08-15 by Brian Basgen
ᔥGeoff Corb in LinkedIn update (accessed:: 2023-08-26 01:34:45)
there is a scenario 00:18:21 uh possibly a likely scenario where we live in a Utopia where we really never have to worry again where we stop messing up our our planet because intelligence is not a bad commodity more 00:18:35 intelligence is good the problems in our planet today are not because of our intelligence they are because of our limited intelligence
limited (machine) intelligence
comment
Deep Learning (DL) A Technique for Implementing Machine LearningSubfield of ML that uses specialized techniques involving multi-layer (2+) artificial neural networksLayering allows cascaded learning and abstraction levels (e.g. line -> shape -> object -> scene)Computationally intensive enabled by clouds, GPUs, and specialized HW such as FPGAs, TPUs, etc.
[29] AI - Deep Learning
The object of the present volume is to point out the effects and the advantages which arise from the use of tools and machines ;—to endeavour to classify their modes of action ;—and to trace both the causes and the consequences of applying machinery to supersede the skill and power of the human arm.
[28] AI - precedents...
Safety & alignment
[25] AI - Alignment
A book is defined as a published title with more than 49 pages.
[24] AI - Bias in Training Materials
Epidemiologist Michael Abramson, who led the research, found that the participants who texted more often tended to work faster but score lower on the tests.
[21] AI - Skills Erosion
An AI model taught to view racist language as normal is obviously bad. The researchers, though, point out a couple of more subtle problems. One is that shifts in language play an important role in social change; the MeToo and Black Lives Matter movements, for example, have tried to establish a new anti-sexist and anti-racist vocabulary. An AI model trained on vast swaths of the internet won’t be attuned to the nuances of this vocabulary and won’t produce or interpret language in line with these new cultural norms. It will also fail to capture the language and the norms of countries and peoples that have less access to the internet and thus a smaller linguistic footprint online. The result is that AI-generated language will be homogenized, reflecting the practices of the richest countries and communities.
[21] AI Nuances
According to him, there are several goals connected to AI alignment that need to be addressed:
[20] AI - Alignment Goals
The AI developers came under intense scrutiny in Europe recently, with Italy being the first Western nation to temporarily ban ChatGPT
[19] AI - Legal Response
The following table lists the results that we visualized in the graphic.
[18] AI - Increased sophistication
It was only by building an additional AI-powered safety mechanism that OpenAI would be able to rein in that harm, producing a chatbot suitable for everyday use.
This isn't true. The Stochastic Parrots paper outlines other avenues for reining in the harms of language models like GPT's.
Title : Artificial Intelligence and Democratic Values: Next Steps for the United States Content : In Dartmouth University , appears AI as sciences however USA motionless a national AI policy comparing to Europe where The Council of Europe is developing the first international AI convention and earlier UE launched the European data privacy law, the General Data Privacy Regulation.
In addition, China's efforts to become “world leader in AI by 2030, as long as China is developing a digital structures matched with The one belt one road project . USA , did not contribute to UNESCO AI Recommendations however USA It works to promote democratic values and human rights and integrate them with the governance of artificial intelligence .
USA and UE are facing challenges with transatlantic data flows , with Ukrainian crises The situation became more difficult. In order to reinstate leadership in AI policy, the United States should advance the policy initiative launched last year by the Office of Science and Technology Policy (OSTP) and Strengthening efforts to support AI Bill of rights .
EXCERPT: USA believe that foster public trust and confidence in AI technologies and protect civil liberties, privacy, and American values in their application can establish responsible AI in USA. Link: https://www.cfr.org/blog/artificial-intelligence-and-democratic-values-next-steps-united-states Topic : AI and Democratic values Country : United States of America
A cognitiveagent is needed to perform this very action (that needs to be recurrent)—and another agent is neededto further build on that (again recurrently and irrespective to the particular agents involved).
This appears to be setting up the conditions for an artificial cognitive agent to be able to play a role (ie Artificial Intelligence)
Superintelligence has long served as a source of inspiration for dystopian science fiction that showed humanity being overthrown, defeated, or imprisoned by machines.
that advanced AI is already reflecting our own prejudices and biases.
projet européen X5-GON (Global Open Education Network) qui collecte les informations sur les ressources éducatives libres et qui marche bien avec un gros apport d’intelligence artificielle pour analyser en profondeur les documents
Why people believe Covid conspiracy theories: Could folklore hold the answer? | Coronavirus | The Guardian. (n.d.). Retrieved October 26, 2021, from https://www.theguardian.com/world/ng-interactive/2021/oct/26/why-people-believe-covid-conspiracy-theories-could-folklore-hold-the-answer
Facebook AI. (2021, July 16). We’ve built and open-sourced BlenderBot 2.0, the first #chatbot that can store and access long-term memory, search the internet for timely information, and converse intelligently on nearly any topic. It’s a significant advancement in conversational AI. https://t.co/H17Dk6m1Vx https://t.co/0BC5oQMEck [Tweet]. @facebookai. https://twitter.com/facebookai/status/1416029884179271684
Johnson, Khari. ‘AI Could Soon Write Code Based on Ordinary Language’. Wired. Accessed 21 June 2021. https://www.wired.com/story/ai-write-code-ordinary-language.
DiResta, Renée. ‘The Supply of Disinformation Will Soon Be Infinite’. The Atlantic, 20 September 2020. https://www.theatlantic.com/ideas/archive/2020/09/future-propaganda-will-be-computer-generated/616400/.
Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.
American Philosophical Society. (2020, June 08). Evidence Symposium. YouTube. https://www.youtube.com/playlist?list=PLoKwLGnyZL4Ds5cQo5muFMg8zKXK4KobH
Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2019, December 4). Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools. https://doi.org/10.31234/osf.io/ky4x8
Gent, Edd. ‘Robots to the Rescue: How They Can Help During Coronavirus (and Future Pandemics)’. Singularity Hub (blog), 1 April 2020. https://singularityhub.com/2020/04/01/robots-to-the-rescue-how-they-can-help-during-coronavirus-and-future-pandemics/.
Kurzweil, R. (2020 May 19). AI-Powered Biotech Can Help Deploy a Vaccine In Record Time. Wired. https://www.wired.com/story/opinion-ai-powered-biotech-can-help-deploy-a-vaccine-in-record-time/
Yang Yang: The Replicability of Scientific Findings Using Human and Machine Intelligence (Video). Metascience 2019 Symposium. https://www.metascience2019.org/presentations/yang-yang/
Yang, Y., Youyou, W., & Uzzi, B. (2020). Estimating the deep replicability of scientific findings using human and artificial intelligence. Proceedings of the National Academy of Sciences, 117(20), 10762–10768. https://doi.org/10.1073/pnas.1909046117
Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579–1586. https://doi.org/10.1016/S0140-6736(20)30226-9
Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms [Preprint]. Health Informatics. https://doi.org/10.1101/2020.04.08.20057679
This is not a new idea. It is based on the vision expounded by Vannevar Bush in his 1945 essay “As We May Think,” which conjured up a “memex” machine that would remember and connect information for us mere mortals. The concept was refined in the early 1960s by the Internet pioneer J. C. R. Licklider, who wrote a paper titled “Man-Computer Symbiosis,” and the computer designer Douglas Engelbart, who wrote “Augmenting Human Intellect.” They often found themselves in opposition to their colleagues, like Marvin Minsky and John McCarthy, who stressed the goal of pursuing artificial intelligence machines that left humans out of the loop.
Seymour Papert, had an approach that provides a nice synthesis between these two camps, buy leveraging early childhood development to provide insights on the creation of AI.
Thompson’s point is that “artificial intelligence” — defined as machines that can think on their own just like or better than humans — is not yet (and may never be) as powerful as “intelligence amplification,” the symbiotic smarts that occur when human cognition is augmented by a close interaction with computers.
Intelligence amplification over artificial intelligence. In reality you can't get to AI until you've mastered IA.
HTM and SDR's - part of how the brain implements intelligence.
"In this first introductory episode of HTM School, Matt Taylor, Numenta's Open Source Flag-Bearer, walks you through the high-level theory of Hierarchical Temporal Memory in less than 15 minutes."
There is no wonder that AI gains popularity. A lot of facts and pros are the stimulators of such profitable growth of AI. The essential peculiarities are fully presented in the given article.
Astrology proven by artificial intelligence.
Great overview and commentary. However, I would have liked some more insight into the ethical ramifications and potential destructiveness of an ASI-system as demonstrated in the movie.
According to a 2015 report by Incapsula, 48.5% of all web traffic are by bots.
...
The majority of bots are "bad bots" - scrapers that are harvesting emails and looking for content to steal, DDoS bots, hacking tools that are scanning websites for security vulnerabilities, spammers trying to sell the latest diet pill, ad bots that are clicking on your advertisements, etc.
...
Content on websites such as dev.to are reposted elsewhere, word-for-word, by scrapers programmed by Black Hat SEO specialists.
...
However, a new breed of scrapers exist - intelligent scrapers. They can search websites for sentences containing certain keywords, and then rewrite those sentences using "article spinning" techniques.
The question that I think we should be asking ourselves is, what is it that my culture is preventing me from seeing?
...
It seems that education is more about filling brains, than teaching people to think.
Education ought to be about drawing something out, not putting something in. One of the things that people should be taught at school, is to think critically about the things that they consider most indisputably correct.
-- Iain McGilchrist (The Master and His Emissary: The Divided Brain and the Making of the Western World)
Microsoft Confirms Its Chinese-Language Chatbot Filters Certain Topics
What has humanity come to -- Micrsoft, one of America's leading computer companies, is selling China network AI's that help enforce Communist censorship?
We cannot stop other countries from censoring their net, and we should let American vendors sell into nets censored by local law. But -- if we care for democracy and anything even approaching America's current relatively wide equality of power between humans -- we better show the world that a nation with a substantially uncensored, AI-amplified, democratic network can kick butt. Otherwise a democratic human future in the rapidly approaching age of machine superintelligence looks unlikely.
So let's use collective media, collective intelligence, and a basic set of collective human values to create an AI amplified superdemocracy.
The AI singularity is rapidly approaching. Machines that can do virtually everything humans do much faster and better than humans are probably only 5 to 15 years away. If you care at all for anybody, including yourself, that may be living then -- it is important for you that machine superintelligence happen well for humanity. As I wrote in 2010 in an article entitled "Collective Intelligence -- Our Only Hope for Surviving the Singularity":
"The Singularity will NOT occur in a vacuum.
"It will NOT occur in a realm of pure science, engineering, or philosophy. It will NOT occur in one instant, one year, or one decade.
"Instead, it WILL occur --- over multiple decades --- in the real world --- one dominated by struggles for --- personal --- corporate --- political --- and national --- survival, money, and power. How the Singularity's wildly transformative technologies will be developed and deployed will be decided largely by collective entities --- by corporations --- governments --- political parties --- militaries --- bureaucracies --- interest groups --- criminal gangs --- the media --- and public opinion."
So -- if we want the future to be anything other than a sci-fi horror movie -- job one should be using the net and AI to make America and, ultimately humanity, collectively superintelligent.
2013 article about Douglas Hofstadter, who has continued to pursue an understanding of the human mind through experiments with AI.
OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.
They're hiring: https://openai.com/about/
Big Sur is our newest Open Rack-compatible hardware designed for AI computing at a large scale. In collaboration with partners, we've built Big Sur to incorporate eight high-performance GPUs