大多数人认为语言是理解世界的基础，但作者认为世界模型需要超越语言，因为物理世界运行在不同的基础上。作者指出，语言模型学习文本的统计结构，而世界模型需要学习空间和时间的统计结构，这挑战了以语言为中心的AI发展观。

大多数人认为AI模型主要是通过训练数据学习，而非通过实际业务操作进行学习。但作者暗示Claude正在通过企业部署过程中实时学习业务流程和决策逻辑，这种学习方式挑战了传统AI模型的训练范式，暗示AI可能正在从静态训练向动态学习转变。

Whole paragraph is good on the difference between "data processing" by AI and human intelligence/understanding/wisdom. Really intrigued here by the idea that forgiveness and fidelity are keys to learning.

大多数人认为AI智能爆炸的速度取决于模拟顶尖研究者与普通研究者能力的巨大差异。但作者认为，如果薪酬差距主要是由'超级明星效应'而非真实能力差异驱动，那么研究者之间的实际能力差距可能小得多，这对AI发展速度的预测有重要影响。

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。

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。

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。

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。

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。

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.

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。

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。

Highlight all the sentences that mention Artificial Intelligence

Highlight all the sentences that mention Artificial Intelligence

Highlight all the sentences that mention Artificial Intelligence

Highlight all the sentences that mention Artificial Intelligence

Highlight all the sentences that mention Artificial Intelligence

Highlight all the sentences that mention Artificial Intelligence

Highlight all the sentences that mention Artificial Intelligence

for - AI - Alien Intelligence, not Artificial Intelligence - It is not an Artifact that we create and control

https://en.wikipedia.org/wiki/Yann_LeCun

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

I wonder how "purpose" is defined here. Is this why LLM applications were developed, or something they were meant to achieve?

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

How much of a defense had they put up since they went out of business?

could have far-reaching implications. Consider how music and image generators compete.

may be useful in revising the Copyright Card Game to addresss AI

for

• quote - AI super intelligence is too dangerous, narrow AI can give us most of what we need - Roman Yampolskiy

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

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/examples

https://flux1.ai/<br /> Flux AI Image Generator

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?

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

• to - YouTube - 4 hour in-depth interview with Leopold Aschenbrenner on the disruptive and existential impacts of A.I. super-intelligence
  • https://hyp.is/zk8hdjEoEe-EIHtdo3U81w/www.youtube.com/watch?v=zdbVtZIn9IM

for - adjacency - AI - Nora Bateson - solving wicked problems - no - Human Intelligence - HI - yes - @gyuri

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.

• for: comparison - AI - HI - example - driving, comparison - artificial i human intelligence - example - driving

https://www.meetup.com/edtechsocal/events/296723328/

Generative AI: Super Learning Skills with Data Discovery and more!

https://hu.ma.ne/

The AI pin has just been listed o/a 2023-11-10.

https://questy.ai/

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.)

• for: bio-buddhism, buddhism - AI, care as the driver of intelligence, Michael Levin, Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, care drive, care light cone, multiscale competency architecture of life, nonduality, no-self, self - illusion, self - constructed, self - deconstruction, Bodhisattva vow
• title: Biology, Buddhism, and AI: Care as the Driver of Intelligence
• author: Michael Levin, Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, AI - ethics
• date: May 16, 2022

• source: https://www.mdpi.com/1099-4300/24/5/710/htm

• summary

  • a trans-disciplinary attempt to develop a framework to deal with a diversity of emerging non-traditional intelligence from new bio-engineered species to AI based on the Buddhist conception of care and compassion for the other.
  • very thought-provoking and some of the explanations and comparisons to evolution actually help to cast a new light on old Buddhist ideas.
  • this is a trans-disciplinary paper synthesizing Buddhist concepts with evolutionary biology

• reference
  • Biology, Buddhism, and AI: Care as the Driver of Intelligence
    • https://www.mdpi.com/1099-4300/24/5/710/htm

https://www.theguardian.com/technology/2023/sep/01/mushroom-pickers-urged-to-avoid-foraging-books-on-amazon-that-appear-to-be-written-by-ai

https://claude.ai/

https://chat.openai.com/auth/login

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

Search: https://jonudell.info/h/facet/?user=chrisaldrich&max=100&exactTagSearch=true&expanded=true&addQuoteContext=true&url=urn%3Ax-pdf%3Abb16e6f65a326e4089ed46b15987c1e7

A Generative AI Primer on 2023-08-15 by Brian Basgen

ᔥGeoff Corb in LinkedIn update (accessed:: 2023-08-26 01:34:45)

• limited (machine) intelligence

  • cannot help but exist
  • if the original (human) authors of the AI code are themselves limited in their intelligence

• comment

  • this limitation is essentially what will result in AI progress traps
  • Indeed,
    • progress and their shadow artefacts,
    • progress traps,
    • is the proper framework to analyze the existential dilemma posed by AI

[29] AI - Deep Learning

[28] AI - precedents...

[25] AI - Alignment

[24] AI - Bias in Training Materials

[21] AI - Skills Erosion

[21] AI Nuances

[20] AI - Alignment Goals

[19] AI - Legal Response

[18] AI - Increased sophistication

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

This appears to be setting up the conditions for an artificial cognitive agent to be able to play a role (ie Artificial Intelligence)

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

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.

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)

http://iainmcgilchrist.com/

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.

https://twitter.com/open_ai

They're hiring: https://openai.com/about/