CRITICAL//Consensus
19.02.202502:28
Пераслаў з:
Axis of Ordinary
18.02.202510:02
Links for 2025-02-16
AI
1. Stanford researchers crack Among Us: Remarkable new work trains LLMs to master strategic social deduction through multi-agent RL, doubling win rates over standard RL. https://socialdeductionllm.github.io/
2. SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models https://arxiv.org/abs/2502.09604
3. AI model deciphers the code in proteins that tells them where to go https://news.mit.edu/2025/ai-model-deciphers-code-proteins-tells-them-where-to-go-0213
4. AI used to design a multi-step enzyme that can digest some plastics https://arstechnica.com/science/2025/02/using-ai-to-design-proteins-is-now-easy-making-enzymes-remains-hard/
5. Musk: "Grok 3 release with live demo on Monday night at 8pm PT. Smartest AI on Earth." https://x.com/elonmusk/status/1890958798841389499
6. EnigmaEval: A collection of long, complex reasoning challenges that take groups of people many hours or days to solve. The best AI systems score below 10% on normal puzzles, and for the ones designed for MIT students, AI systems score 0%. https://scale.com/leaderboard/enigma_eval
7. Introducing Prime Intellect’s Protocol & Testnet: A peer-to-peer compute and intelligence network https://www.primeintellect.ai/blog/protocol
8. Finally, hard data on a real-world AI business use case: It’s huge for customer service https://sherwood.news/tech/finally-hard-data-on-a-real-world-ai-business-use-case-its-huge-for-customer/
9. OmniParser V2 can turn any LLM into an agent capable of using a computer https://www.microsoft.com/en-us/research/articles/omniparser-v2-turning-any-llm-into-a-computer-use-agent/
10. This DARPA-backed startup banked $100 million for its energy-slashing analog chips https://www.fastcompany.com/91278505/encharge-ai-banks-100-million-for-its-energy-slashing-analog-chips
Robots
1. Meta Plans Major Investment Into AI-Powered Humanoid Robots https://www.bloomberg.com/news/articles/2025-02-14/meta-plans-major-investment-into-ai-powered-humanoid-robots [no paywall: https://archive.is/TA8fq]
2. China’s electric vehicle giants are betting big on humanoid robots https://www.technologyreview.com/2025/02/14/1111920/chinas-electric-vehicle-giants-pivot-humanoid-robots/ [no paywall: https://archive.is/GXeYf]
3. China registers over 450,000 smart robotics firms https://www.chinadaily.com.cn/a/202502/10/WS67a99669a310a2ab06eab353.html
Computer science
1. A formalization of Gowers’ no-coincidence principle: If a highly unlikely or “outrageous” coincidence appears in a mathematical or computational context, there should be an underlying structural explanation for it rather than it being a mere accident. https://www.lesswrong.com/posts/Xt9r4SNNuYxW83tmo/a-computational-no-coincidence-principle
2. Generalized Transformers from Applicative Functors, by Tuomas Laakkonen https://cybercat.institute/2025/02/12/transformers-applicative-functors/
3. The Hundred-Page Language Models Book https://thelmbook.com/
4. bytecode interpreters for tiny computers https://dercuano.github.io/notes/tiny-interpreters-for-microcontrollers.html
5. New Book-Sorting Algorithm Almost Reaches Perfection https://www.quantamagazine.org/new-book-sorting-algorithm-almost-reaches-perfection-20250124/
Science and Technology
1. Does X cause Y? An in-depth evidence review https://www.cold-takes.com/does-x-cause-y-an-in-depth-evidence-review/
2. Neuralink competitor Paradromics secures investment from Saudi Arabia’s Neom https://www.cnbc.com/2025/02/12/neuralink-competitor-paradromics-partners-with-saudi-arabias-neom.html
3. “How can a brain disease increase creativity? First, we derive a brain circuit for creativity from studies of creative tasks demonstrating that they share reduced activity in the right frontal pole.” https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2830230
4. Scientists have a new explanation for the last two years of record heat https://www.washingtonpost.com/climate-environment/2025/02/14/global-warming-acceleration-clouds/ [no paywall: https://archive.is/1bwYx]
AI
1. Stanford researchers crack Among Us: Remarkable new work trains LLMs to master strategic social deduction through multi-agent RL, doubling win rates over standard RL. https://socialdeductionllm.github.io/
2. SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models https://arxiv.org/abs/2502.09604
3. AI model deciphers the code in proteins that tells them where to go https://news.mit.edu/2025/ai-model-deciphers-code-proteins-tells-them-where-to-go-0213
4. AI used to design a multi-step enzyme that can digest some plastics https://arstechnica.com/science/2025/02/using-ai-to-design-proteins-is-now-easy-making-enzymes-remains-hard/
5. Musk: "Grok 3 release with live demo on Monday night at 8pm PT. Smartest AI on Earth." https://x.com/elonmusk/status/1890958798841389499
6. EnigmaEval: A collection of long, complex reasoning challenges that take groups of people many hours or days to solve. The best AI systems score below 10% on normal puzzles, and for the ones designed for MIT students, AI systems score 0%. https://scale.com/leaderboard/enigma_eval
7. Introducing Prime Intellect’s Protocol & Testnet: A peer-to-peer compute and intelligence network https://www.primeintellect.ai/blog/protocol
8. Finally, hard data on a real-world AI business use case: It’s huge for customer service https://sherwood.news/tech/finally-hard-data-on-a-real-world-ai-business-use-case-its-huge-for-customer/
9. OmniParser V2 can turn any LLM into an agent capable of using a computer https://www.microsoft.com/en-us/research/articles/omniparser-v2-turning-any-llm-into-a-computer-use-agent/
10. This DARPA-backed startup banked $100 million for its energy-slashing analog chips https://www.fastcompany.com/91278505/encharge-ai-banks-100-million-for-its-energy-slashing-analog-chips
Robots
1. Meta Plans Major Investment Into AI-Powered Humanoid Robots https://www.bloomberg.com/news/articles/2025-02-14/meta-plans-major-investment-into-ai-powered-humanoid-robots [no paywall: https://archive.is/TA8fq]
2. China’s electric vehicle giants are betting big on humanoid robots https://www.technologyreview.com/2025/02/14/1111920/chinas-electric-vehicle-giants-pivot-humanoid-robots/ [no paywall: https://archive.is/GXeYf]
3. China registers over 450,000 smart robotics firms https://www.chinadaily.com.cn/a/202502/10/WS67a99669a310a2ab06eab353.html
Computer science
1. A formalization of Gowers’ no-coincidence principle: If a highly unlikely or “outrageous” coincidence appears in a mathematical or computational context, there should be an underlying structural explanation for it rather than it being a mere accident. https://www.lesswrong.com/posts/Xt9r4SNNuYxW83tmo/a-computational-no-coincidence-principle
2. Generalized Transformers from Applicative Functors, by Tuomas Laakkonen https://cybercat.institute/2025/02/12/transformers-applicative-functors/
3. The Hundred-Page Language Models Book https://thelmbook.com/
4. bytecode interpreters for tiny computers https://dercuano.github.io/notes/tiny-interpreters-for-microcontrollers.html
5. New Book-Sorting Algorithm Almost Reaches Perfection https://www.quantamagazine.org/new-book-sorting-algorithm-almost-reaches-perfection-20250124/
Science and Technology
1. Does X cause Y? An in-depth evidence review https://www.cold-takes.com/does-x-cause-y-an-in-depth-evidence-review/
2. Neuralink competitor Paradromics secures investment from Saudi Arabia’s Neom https://www.cnbc.com/2025/02/12/neuralink-competitor-paradromics-partners-with-saudi-arabias-neom.html
3. “How can a brain disease increase creativity? First, we derive a brain circuit for creativity from studies of creative tasks demonstrating that they share reduced activity in the right frontal pole.” https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2830230
4. Scientists have a new explanation for the last two years of record heat https://www.washingtonpost.com/climate-environment/2025/02/14/global-warming-acceleration-clouds/ [no paywall: https://archive.is/1bwYx]
14.02.202509:23
Пераслаў з:
EDGE.
11.02.202521:35
Music schools are no longer needed: in Japan, a robotic exoskeleton arm has been created for pianists. Researchers from Kyoto have developed a gadget that will teach beginners and help skilled musicians play even faster.
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Пераслаў з:Axis of Ordinary
20.02.202518:40
Links for 2025-02-20
AI
1. Evo 2, a DNA foundation model trained on 9T DNA base pairs, with state-of-the-art performance across a wide variety of biologically relevant tasks https://blogs.nvidia.com/blog/evo-2-biomolecular-ai/
2. Like human brains, large language models reason about diverse data in a general way https://news.mit.edu/2025/large-language-models-reason-about-diverse-data-general-way-0219
3. Magma: A Foundation Model for Multimodal AI Agents https://arxiv.org/abs/2502.13130
4. From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs https://arxiv.org/abs/2501.16207
5. Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning https://arxiv.org/abs/2502.07154
6. NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions https://arxiv.org/abs/2502.13124
7. Learning to Reason at the Frontier of Learnability https://arxiv.org/abs/2502.12272
8. Scaling Test-Time Compute Without Verification or RL is Suboptimal https://arxiv.org/abs/2502.12118
9. Go Grok Yourself https://www.lesswrong.com/posts/WNYvFCkhZvnwAPzJY/go-grok-yourself
10. The Ultra-Scale Playbook: Training LLMs on GPU Clusters https://huggingface.co/spaces/nanotron/ultrascale-playbook
11. Europe risks becoming a ‘museum' if it doesn't innovate in AI and deregulate, Swedish PM warns https://www.nbcnewyork.com/news/business/money-report/europe-risks-becoming-a-museum-if-it-doesnt-innovate-in-ai-and-deregulate-swedish-pm-says/6156931/
Brains and Intelligence
1. How to Make Superbabies https://www.lesswrong.com/posts/DfrSZaf3JC8vJdbZL/how-to-make-superbabies
2. Have you ever been curious about how we might map entire mammalian brains with sufficient resolution to capture synaptic connections between neurons? Comparative prospects of imaging methods for whole-brain mammalian connectomics https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(25)00024-4
3. A two-and-a-half-year-old girl shows no signs of a rare genetic disorder, after becoming the first person to be treated for the motor-neuron condition while in the womb. https://www.nature.com/articles/d41586-025-00534-0 [no paywall: https://archive.is/Cefrd]
Technology
1. Microsoft announces quantum computing breakthrough with new Majorana 1 chip https://news.microsoft.com/source/features/ai/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/
2. Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity https://arxiv.org/abs/2502.13063
3. Catalytic Computing Taps the Full Power of a Full Hard Drive https://www.quantamagazine.org/catalytic-computing-taps-the-full-power-of-a-full-hard-drive-20250218/
Math and Philosophy
1. Tegmark's Mathematical Universe Defeats Most Proofs Of God's Existence https://www.astralcodexten.com/p/tegmarks-mathematical-universe-defeats
2. Simple proofs: Pi is transcendental https://mathscholar.org/2025/02/simple-proofs-pi-is-transcendental/
3. Paul Erdős didn't understand the Monty Hall Problem and got really mad at the explanation https://www.reddit.com/r/math/comments/181lrm0/comment/kadz7tz/
AI
1. Evo 2, a DNA foundation model trained on 9T DNA base pairs, with state-of-the-art performance across a wide variety of biologically relevant tasks https://blogs.nvidia.com/blog/evo-2-biomolecular-ai/
2. Like human brains, large language models reason about diverse data in a general way https://news.mit.edu/2025/large-language-models-reason-about-diverse-data-general-way-0219
3. Magma: A Foundation Model for Multimodal AI Agents https://arxiv.org/abs/2502.13130
4. From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs https://arxiv.org/abs/2501.16207
5. Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning https://arxiv.org/abs/2502.07154
6. NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions https://arxiv.org/abs/2502.13124
7. Learning to Reason at the Frontier of Learnability https://arxiv.org/abs/2502.12272
8. Scaling Test-Time Compute Without Verification or RL is Suboptimal https://arxiv.org/abs/2502.12118
9. Go Grok Yourself https://www.lesswrong.com/posts/WNYvFCkhZvnwAPzJY/go-grok-yourself
10. The Ultra-Scale Playbook: Training LLMs on GPU Clusters https://huggingface.co/spaces/nanotron/ultrascale-playbook
11. Europe risks becoming a ‘museum' if it doesn't innovate in AI and deregulate, Swedish PM warns https://www.nbcnewyork.com/news/business/money-report/europe-risks-becoming-a-museum-if-it-doesnt-innovate-in-ai-and-deregulate-swedish-pm-says/6156931/
Brains and Intelligence
1. How to Make Superbabies https://www.lesswrong.com/posts/DfrSZaf3JC8vJdbZL/how-to-make-superbabies
2. Have you ever been curious about how we might map entire mammalian brains with sufficient resolution to capture synaptic connections between neurons? Comparative prospects of imaging methods for whole-brain mammalian connectomics https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(25)00024-4
3. A two-and-a-half-year-old girl shows no signs of a rare genetic disorder, after becoming the first person to be treated for the motor-neuron condition while in the womb. https://www.nature.com/articles/d41586-025-00534-0 [no paywall: https://archive.is/Cefrd]
Technology
1. Microsoft announces quantum computing breakthrough with new Majorana 1 chip https://news.microsoft.com/source/features/ai/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/
2. Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity https://arxiv.org/abs/2502.13063
3. Catalytic Computing Taps the Full Power of a Full Hard Drive https://www.quantamagazine.org/catalytic-computing-taps-the-full-power-of-a-full-hard-drive-20250218/
Math and Philosophy
1. Tegmark's Mathematical Universe Defeats Most Proofs Of God's Existence https://www.astralcodexten.com/p/tegmarks-mathematical-universe-defeats
2. Simple proofs: Pi is transcendental https://mathscholar.org/2025/02/simple-proofs-pi-is-transcendental/
3. Paul Erdős didn't understand the Monty Hall Problem and got really mad at the explanation https://www.reddit.com/r/math/comments/181lrm0/comment/kadz7tz/
15.02.202523:33
Пераслаў з:Axis of Ordinary
13.02.202514:44
Links for 2025-02-12
AI:
1. LLMs can be used to discover interpretable models of human and animal behavior. A method, called CogFunSearch, adapts FunSearch, a tool that uses large language models (LLMs) in an evolutionary algorithm. The discovered programs can be interpreted as hypotheses about human and animal cognition, instantiating interpretable symbolic learning and decision-making algorithms. https://www.biorxiv.org/content/10.1101/2025.02.05.636732v1
2. LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters https://arxiv.org/abs/2502.07374
3. NatureLM: Deciphering the Language of Nature for Scientific Discovery https://arxiv.org/abs/2502.07527
4. Evolution and The Knightian Blindspot of Machine Learning — The authors propose that ML can benefit from considering the temporal unfolding of an open world, using a diversity-and-filter approach to handle KU, and incorporating non-stationarity into foundation model pertaining. https://arxiv.org/abs/2501.13075
5. On the Emergence of Thinking in LLMs I: Searching for the Right Intuition https://arxiv.org/abs/2502.06773
6. ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates https://arxiv.org/abs/2502.06772
7. Training Language Models to Reason Efficiently https://arxiv.org/abs/2502.04463
8. “o3 can't multiply 10 digit numbers, but here is the acc of a 14m transformer that teaches itself how to do it, with iterative self-improvement” https://x.com/DimitrisPapail/status/1889755872642970039
9. Scaling Pre-training to One Hundred Billion Data for Vision Language Models https://arxiv.org/abs/2502.07617
10. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling https://arxiv.org/abs/2502.06703
11. DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL https://pretty-radio-b75.notion.site/DeepScaleR-Surpassing-O1-Preview-with-a-1-5B-Model-by-Scaling-RL-19681902c1468005bed8ca303013a4e2 (but see this thread: https://x.com/DimitrisPapail/status/1889422843982524558)
12. 8GB of high-quality reasoning math https://huggingface.co/datasets/open-r1/OpenR1-Math-Raw
AI politics:
1. 'Possibly by 2026 or 2027 (and almost certainly no later than 2030), the capabilities of AI systems will be best thought of as akin to an entirely new state populated by highly intelligent people appearing on the global stage' https://www.anthropic.com/news/paris-ai-summit
2. Sam Altman says the $500 billion Stargate project will be dwarfed in a few years with $5 trillion AI compute clusters, despite the recent DeepSeek release https://youtu.be/oEdlwfD5vK8?si=UpmTkOCaUxmQYFc8&t=664
3. The Paris AI Anti-Safety Summit https://www.lesswrong.com/posts/qYPHryHTNiJ2y6Fhi/the-paris-ai-anti-safety-summit
4. Why Did Elon Musk Just Offer to Buy Control of OpenAI for $100 Billion? https://www.lesswrong.com/posts/tdb76S4viiTHfFr2u/why-did-elon-musk-just-offer-to-buy-control-of-openai-for
5. Meta Platforms is reportedly in discussions to acquire South Korean AI chip startup FuriosaAI. https://www.koreatimes.co.kr/www/tech/2025/02/129_392093.html
6. OpenAI set to finalize first custom chip design this year https://www.reuters.com/technology/openai-set-finalize-first-custom-chip-design-this-year-2025-02-10/
Science and Technology:
1. Princeton neuroscientists crack the code of how we make decisions https://pni.princeton.edu/news/2025/princeton-neuroscientists-crack-code-how-we-make-decisions
2. Physicists have built a new type of digital-analogue quantum simulator in Google’s laboratory, which can be used to study physical processes with unprecedented precision and flexibility. https://www.psi.ch/en/news/media-releases/unique-quantum-simulator-opens-door-to-new-research
3. Anduril Takes Over $22 Billion Contract to Build Technomancers for U.S. Army https://www.corememory.com/p/anduril-takes-over-22-billion-contract
4. Einstein Was Right – Euclid Just Captured Space-Time Warping in a Perfect Cosmic Ring https://www.esa.int/Science_Exploration/Space_Science/Euclid/Euclid_discovers_a_stunning_Einstein_ring
AI:
1. LLMs can be used to discover interpretable models of human and animal behavior. A method, called CogFunSearch, adapts FunSearch, a tool that uses large language models (LLMs) in an evolutionary algorithm. The discovered programs can be interpreted as hypotheses about human and animal cognition, instantiating interpretable symbolic learning and decision-making algorithms. https://www.biorxiv.org/content/10.1101/2025.02.05.636732v1
2. LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters https://arxiv.org/abs/2502.07374
3. NatureLM: Deciphering the Language of Nature for Scientific Discovery https://arxiv.org/abs/2502.07527
4. Evolution and The Knightian Blindspot of Machine Learning — The authors propose that ML can benefit from considering the temporal unfolding of an open world, using a diversity-and-filter approach to handle KU, and incorporating non-stationarity into foundation model pertaining. https://arxiv.org/abs/2501.13075
5. On the Emergence of Thinking in LLMs I: Searching for the Right Intuition https://arxiv.org/abs/2502.06773
6. ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates https://arxiv.org/abs/2502.06772
7. Training Language Models to Reason Efficiently https://arxiv.org/abs/2502.04463
8. “o3 can't multiply 10 digit numbers, but here is the acc of a 14m transformer that teaches itself how to do it, with iterative self-improvement” https://x.com/DimitrisPapail/status/1889755872642970039
9. Scaling Pre-training to One Hundred Billion Data for Vision Language Models https://arxiv.org/abs/2502.07617
10. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling https://arxiv.org/abs/2502.06703
11. DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL https://pretty-radio-b75.notion.site/DeepScaleR-Surpassing-O1-Preview-with-a-1-5B-Model-by-Scaling-RL-19681902c1468005bed8ca303013a4e2 (but see this thread: https://x.com/DimitrisPapail/status/1889422843982524558)
12. 8GB of high-quality reasoning math https://huggingface.co/datasets/open-r1/OpenR1-Math-Raw
AI politics:
1. 'Possibly by 2026 or 2027 (and almost certainly no later than 2030), the capabilities of AI systems will be best thought of as akin to an entirely new state populated by highly intelligent people appearing on the global stage' https://www.anthropic.com/news/paris-ai-summit
2. Sam Altman says the $500 billion Stargate project will be dwarfed in a few years with $5 trillion AI compute clusters, despite the recent DeepSeek release https://youtu.be/oEdlwfD5vK8?si=UpmTkOCaUxmQYFc8&t=664
3. The Paris AI Anti-Safety Summit https://www.lesswrong.com/posts/qYPHryHTNiJ2y6Fhi/the-paris-ai-anti-safety-summit
4. Why Did Elon Musk Just Offer to Buy Control of OpenAI for $100 Billion? https://www.lesswrong.com/posts/tdb76S4viiTHfFr2u/why-did-elon-musk-just-offer-to-buy-control-of-openai-for
5. Meta Platforms is reportedly in discussions to acquire South Korean AI chip startup FuriosaAI. https://www.koreatimes.co.kr/www/tech/2025/02/129_392093.html
6. OpenAI set to finalize first custom chip design this year https://www.reuters.com/technology/openai-set-finalize-first-custom-chip-design-this-year-2025-02-10/
Science and Technology:
1. Princeton neuroscientists crack the code of how we make decisions https://pni.princeton.edu/news/2025/princeton-neuroscientists-crack-code-how-we-make-decisions
2. Physicists have built a new type of digital-analogue quantum simulator in Google’s laboratory, which can be used to study physical processes with unprecedented precision and flexibility. https://www.psi.ch/en/news/media-releases/unique-quantum-simulator-opens-door-to-new-research
3. Anduril Takes Over $22 Billion Contract to Build Technomancers for U.S. Army https://www.corememory.com/p/anduril-takes-over-22-billion-contract
4. Einstein Was Right – Euclid Just Captured Space-Time Warping in a Perfect Cosmic Ring https://www.esa.int/Science_Exploration/Space_Science/Euclid/Euclid_discovers_a_stunning_Einstein_ring
Пераслаў з:EDGE.
11.02.202521:06
Soon we will be turned into cyborgs: researchers from the IRIM laboratory at Korea University are developing bionic legs that mimic natural human movements
There, advancements are being made in prosthetics, rehabilitation, and flexible robotics to support mobility and therapy.
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There, advancements are being made in prosthetics, rehabilitation, and flexible robotics to support mobility and therapy.
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19.02.202500:16
12.02.202520:11
Ghost in the Shell (1995)
19.02.202514:39
18.02.202520:37
Пераслаў з:Axis of Ordinary
15.02.202522:50
Links for 2025-02-13
AI:
1. Training Deep Learning Models with Norm-Constrained LMOs—has the potential to significantly improve the efficiency and speed of training LLMs, allowing for the training of even larger and more complex models. https://arxiv.org/abs/2502.07529
2. LLM Pretraining with Continuous Concepts https://arxiv.org/abs/2502.08524
3. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving —iteratively refines the prover through expert iteration, dramatically increasing the number of solved problems (e.g., 29.7K solved in Lean Workbook) and securing top rankings on benchmarks like PutnamBench. https://arxiv.org/abs/2502.07640
4. RAGEN: A General-Purpose Reasoning Agent Training Framework https://github.com/ZihanWang314/ragen/tree/main
5. Unsupervised Predictive Memory in a Goal-Directed Agent [published in 2018] https://arxiv.org/abs/1803.10760
6. CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction https://codei-o.github.io/
7. Elon Musk says Grok 3 will be released in "a week or two" and it is "scary smart", displaying reasoning skills that outperform any other AI model that has been released https://www.youtube.com/live/eV396ioBs3g?si=KOAokGapPj_Cb666&t=811
8. Noam Shazeer, co-lead on Google's Gemini, says by 2030 there will be AI assistants in glasses that provide advice and solve problems for you in real time, as well as turning programmers into 10,000,000x engineers https://youtu.be/v0gjI__RyCY?si=QHw1hrywgBvBnieQ&t=5390
9. Studies of Human Error Rate: "…skeptics often gesture to hallucinations, errors. An ideal symbolic system never makes such errors, therefore LLMs cannot truly "understand" even simple concepts like addition. See e.g. Evaluating the World Model Implicit in a Generative Model for this argument in the literature. However, such arguments reliably rule out human "understanding" as well! Studies within Human Reliability Analysis find startlingly high rates even for basic tasks, and even with double checking. Generally, the human reference class is too often absent (or assumed ideal) in AI discussions, and many LLM oddities have close parallels in psychology. If you're willing to look!" https://www.lesswrong.com/posts/9unBWgRXFT5BpeSdb/studies-of-human-error-rate
10. Rogo scales AI-driven financial research with OpenAI o1 https://openai.com/index/rogo/
AI politics and safety:
1. Tell me about yourself: LLMs are aware of their learned behaviors https://arxiv.org/abs/2501.11120
2. Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models https://arxiv.org/abs/2411.14257
3. OpenAI hides chain-of-thought reasoning because it may include unaligned content. From “Model Spec—a document which defines how we want our models to behave.” https://model-spec.openai.com/2025-02-12.html
4. Meta Starts Eliminating Jobs in Shift to Find AI Talent https://www.bloomberg.com/news/articles/2025-02-10/meta-starts-eliminating-jobs-in-shift-to-find-ai-talent [no paywall: https://archive.is/T7Kog]
Science and Technology:
1. Learning produces an orthogonalized state machine in the hippocampus https://www.nature.com/articles/s41586-024-08548-w
2. Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy https://www.biorxiv.org/content/10.1101/2024.11.15.623878v3
3. "Dozens of new obesity drugs are coming: these are ones to watch; next-generation obesity drugs will work differently from Ozempic & Wegovy—aiming to deliver greater weight loss with fewer side effects" https://www.nature.com/articles/d41586-025-00404-9 [no paywall: https://archive.is/X9CW3]
4. A single human zygote contains all the information you need to develop into an adult human and at the same time contains within it, the evolutionary history of our species. The Genomic Code: the genome instantiates a generative model of the organism https://www.cell.com/trends/genetics/fulltext/S0168-9525(25)00008-3
AI:
1. Training Deep Learning Models with Norm-Constrained LMOs—has the potential to significantly improve the efficiency and speed of training LLMs, allowing for the training of even larger and more complex models. https://arxiv.org/abs/2502.07529
2. LLM Pretraining with Continuous Concepts https://arxiv.org/abs/2502.08524
3. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving —iteratively refines the prover through expert iteration, dramatically increasing the number of solved problems (e.g., 29.7K solved in Lean Workbook) and securing top rankings on benchmarks like PutnamBench. https://arxiv.org/abs/2502.07640
4. RAGEN: A General-Purpose Reasoning Agent Training Framework https://github.com/ZihanWang314/ragen/tree/main
5. Unsupervised Predictive Memory in a Goal-Directed Agent [published in 2018] https://arxiv.org/abs/1803.10760
6. CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction https://codei-o.github.io/
7. Elon Musk says Grok 3 will be released in "a week or two" and it is "scary smart", displaying reasoning skills that outperform any other AI model that has been released https://www.youtube.com/live/eV396ioBs3g?si=KOAokGapPj_Cb666&t=811
8. Noam Shazeer, co-lead on Google's Gemini, says by 2030 there will be AI assistants in glasses that provide advice and solve problems for you in real time, as well as turning programmers into 10,000,000x engineers https://youtu.be/v0gjI__RyCY?si=QHw1hrywgBvBnieQ&t=5390
9. Studies of Human Error Rate: "…skeptics often gesture to hallucinations, errors. An ideal symbolic system never makes such errors, therefore LLMs cannot truly "understand" even simple concepts like addition. See e.g. Evaluating the World Model Implicit in a Generative Model for this argument in the literature. However, such arguments reliably rule out human "understanding" as well! Studies within Human Reliability Analysis find startlingly high rates even for basic tasks, and even with double checking. Generally, the human reference class is too often absent (or assumed ideal) in AI discussions, and many LLM oddities have close parallels in psychology. If you're willing to look!" https://www.lesswrong.com/posts/9unBWgRXFT5BpeSdb/studies-of-human-error-rate
10. Rogo scales AI-driven financial research with OpenAI o1 https://openai.com/index/rogo/
AI politics and safety:
1. Tell me about yourself: LLMs are aware of their learned behaviors https://arxiv.org/abs/2501.11120
2. Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models https://arxiv.org/abs/2411.14257
3. OpenAI hides chain-of-thought reasoning because it may include unaligned content. From “Model Spec—a document which defines how we want our models to behave.” https://model-spec.openai.com/2025-02-12.html
4. Meta Starts Eliminating Jobs in Shift to Find AI Talent https://www.bloomberg.com/news/articles/2025-02-10/meta-starts-eliminating-jobs-in-shift-to-find-ai-talent [no paywall: https://archive.is/T7Kog]
Science and Technology:
1. Learning produces an orthogonalized state machine in the hippocampus https://www.nature.com/articles/s41586-024-08548-w
2. Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy https://www.biorxiv.org/content/10.1101/2024.11.15.623878v3
3. "Dozens of new obesity drugs are coming: these are ones to watch; next-generation obesity drugs will work differently from Ozempic & Wegovy—aiming to deliver greater weight loss with fewer side effects" https://www.nature.com/articles/d41586-025-00404-9 [no paywall: https://archive.is/X9CW3]
4. A single human zygote contains all the information you need to develop into an adult human and at the same time contains within it, the evolutionary history of our species. The Genomic Code: the genome instantiates a generative model of the organism https://www.cell.com/trends/genetics/fulltext/S0168-9525(25)00008-3
Пераслаў з:EDGE.
11.02.202521:58
Surgeons from New York showcased an augmented reality device that assists them in their work
The program in AR glasses transforms images (MRI, CT, and more) into interactive 3D models, which are overlaid on the patient's body in real-time.
This makes it easier to plan and perform surgeries.
EDGE. Subscribe.
The program in AR glasses transforms images (MRI, CT, and more) into interactive 3D models, which are overlaid on the patient's body in real-time.
This makes it easier to plan and perform surgeries.
EDGE. Subscribe.
Пераслаў з:
ヒマワリ会 Sunflower Society
11.02.202520:31
The people reading and writing cyberpunk fiction for the past 40+ years were more prepared for this era than anyone else.
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Увайдзіце, каб разблакаваць больш функцый.