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Shots fired at the Trump rally in Butler, Pennsylvania.
🤔14🤯6🔥5😁2😢1
Links for 2024-07-14
AI:
1. OpenAI is working on new reasoning technology under the code name ‘Strawberry’ (formerly known as Q*) to perform long-horizon tasks. Planning ahead will enable it to navigate the internet autonomously and reliably to perform “deep research.” In an internal all-hands meeting, OpenAI showed a demo of a research project that it claimed had new human-like reasoning skills. https://www.reuters.com/technology/artificial-intelligence/openai-working-new-reasoning-technology-under-code-name-strawberry-2024-07-12/ [archived version: https://archive.is/cnCrI]
2. "Standard deep learning (is) slow and power-hungry..we introduce..an analog electronic network (which) learns tasks unachievable in linear systems, (is) robust to damage, retrainable in seconds, & performs.. in microseconds..dissipating only picojoules" https://www.pnas.org/doi/10.1073/pnas.2319718121
3. The Making of Devin [AI software agent] by Cognition AI: Scott Wu https://www.youtube.com/watch?v=T7NWjoD_OuY
4. “Many AI researchers believe that deep learning alone is not enough; there must be more than naive scaling to get to human level AGI. If you’re in this plurality, I have some questions” https://evjang.com/2024/07/11/arc.html
5. OpenDiLoCo: Enabling globally distributed AI model training. https://www.primeintellect.ai/blog/opendiloco
6. MambaVision: A Hybrid Mamba-Transformer Vision Backbone https://arxiv.org/abs/2407.08083
7. SEED-Story: Multimodal Long Story Generation with Large Language Model https://arxiv.org/abs/2407.08683
8. “Fast, robust, reactive, direct-from-sensor grasp-anything policies. RL really works, and it’s going to transform the entire robotics economy.” https://arxiv.org/abs/2407.02274
9. Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It — “Out-of-sample accuracy is strikingly high: of the 500 people with the highest predicted risk, almost 13 percent are shot within 18 months, a rate 128 times higher than the average Chicagoan.” https://www.nber.org/papers/w30170
10. AI system achieves 96% accuracy in determining sex from dental X-rays https://www.psypost.org/ai-system-achieves-96-accuracy-in-determining-sex-from-dental-x-rays/
11. Helsing, a startup developing AI software for defense, raises €450 million to expand its presence in European nations bordering Russia https://www.bloomberg.com/news/articles/2024-07-11/defense-startup-helsing-nets-5-billion-valuation-plans-eastern-flank-expansion [no paywall: https://archive.is/Ns43P]
12. Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data. https://arxiv.org/abs/2407.07595
13. A.I. Helped Spot a Copper Bonanza. It Could Transform More Than Mining. https://www.nytimes.com/2024/07/11/climate/kobold-zambia-copper-ai-mining.html [no paywall: https://archive.is/smmDA]
14. How AI Revolutionized Protein Science, but Didn’t End It https://www.quantamagazine.org/how-ai-revolutionized-protein-science-but-didnt-end-it-20240626/
15. A full highly accurate radiance field - where you can choose to see a 3D scene from any point of view (effectively a 5D representation) - compresses the scene to roughly the size of any single training picture. https://www.youtube.com/watch?v=CRlN-cYFxTk
16. Reasoning through arguments against taking AI safety seriously https://yoshuabengio.org/2024/07/09/reasoning-through-arguments-against-taking-ai-safety-seriously/
Miscellaneous:
1. Food without agriculture: Food from CO2, biomass and hydrocarbons to secure humanity's food supply against global catastrophe https://www.sciencedirect.com/science/article/abs/pii/S0924224424002851
2. Ice: The Penultimate Frontier — “I argue here that preventing a large iceberg from melting is absurdly cheap per unit area compared to just about any other way of making new land, and it's kind of crazy to spend money on space exploration and colonization before colonizing the oceans with floating ice-islands.” https://www.lesswrong.com/posts/gthjxPDywrMTs3p2j/ice-the-penultimate-frontier
AI:
1. OpenAI is working on new reasoning technology under the code name ‘Strawberry’ (formerly known as Q*) to perform long-horizon tasks. Planning ahead will enable it to navigate the internet autonomously and reliably to perform “deep research.” In an internal all-hands meeting, OpenAI showed a demo of a research project that it claimed had new human-like reasoning skills. https://www.reuters.com/technology/artificial-intelligence/openai-working-new-reasoning-technology-under-code-name-strawberry-2024-07-12/ [archived version: https://archive.is/cnCrI]
2. "Standard deep learning (is) slow and power-hungry..we introduce..an analog electronic network (which) learns tasks unachievable in linear systems, (is) robust to damage, retrainable in seconds, & performs.. in microseconds..dissipating only picojoules" https://www.pnas.org/doi/10.1073/pnas.2319718121
3. The Making of Devin [AI software agent] by Cognition AI: Scott Wu https://www.youtube.com/watch?v=T7NWjoD_OuY
4. “Many AI researchers believe that deep learning alone is not enough; there must be more than naive scaling to get to human level AGI. If you’re in this plurality, I have some questions” https://evjang.com/2024/07/11/arc.html
5. OpenDiLoCo: Enabling globally distributed AI model training. https://www.primeintellect.ai/blog/opendiloco
6. MambaVision: A Hybrid Mamba-Transformer Vision Backbone https://arxiv.org/abs/2407.08083
7. SEED-Story: Multimodal Long Story Generation with Large Language Model https://arxiv.org/abs/2407.08683
8. “Fast, robust, reactive, direct-from-sensor grasp-anything policies. RL really works, and it’s going to transform the entire robotics economy.” https://arxiv.org/abs/2407.02274
9. Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It — “Out-of-sample accuracy is strikingly high: of the 500 people with the highest predicted risk, almost 13 percent are shot within 18 months, a rate 128 times higher than the average Chicagoan.” https://www.nber.org/papers/w30170
10. AI system achieves 96% accuracy in determining sex from dental X-rays https://www.psypost.org/ai-system-achieves-96-accuracy-in-determining-sex-from-dental-x-rays/
11. Helsing, a startup developing AI software for defense, raises €450 million to expand its presence in European nations bordering Russia https://www.bloomberg.com/news/articles/2024-07-11/defense-startup-helsing-nets-5-billion-valuation-plans-eastern-flank-expansion [no paywall: https://archive.is/Ns43P]
12. Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data. https://arxiv.org/abs/2407.07595
13. A.I. Helped Spot a Copper Bonanza. It Could Transform More Than Mining. https://www.nytimes.com/2024/07/11/climate/kobold-zambia-copper-ai-mining.html [no paywall: https://archive.is/smmDA]
14. How AI Revolutionized Protein Science, but Didn’t End It https://www.quantamagazine.org/how-ai-revolutionized-protein-science-but-didnt-end-it-20240626/
15. A full highly accurate radiance field - where you can choose to see a 3D scene from any point of view (effectively a 5D representation) - compresses the scene to roughly the size of any single training picture. https://www.youtube.com/watch?v=CRlN-cYFxTk
16. Reasoning through arguments against taking AI safety seriously https://yoshuabengio.org/2024/07/09/reasoning-through-arguments-against-taking-ai-safety-seriously/
Miscellaneous:
1. Food without agriculture: Food from CO2, biomass and hydrocarbons to secure humanity's food supply against global catastrophe https://www.sciencedirect.com/science/article/abs/pii/S0924224424002851
2. Ice: The Penultimate Frontier — “I argue here that preventing a large iceberg from melting is absurdly cheap per unit area compared to just about any other way of making new land, and it's kind of crazy to spend money on space exploration and colonization before colonizing the oceans with floating ice-islands.” https://www.lesswrong.com/posts/gthjxPDywrMTs3p2j/ice-the-penultimate-frontier
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Links for 2024-07-17
AI:
1. Trump allies draft AI order to launch ‘Manhattan Projects’ for defense to compete with China https://www.washingtonpost.com/technology/2024/07/16/trump-ai-executive-order-regulations-military [no paywall: https://archive.is/LFseW]
2. Mistral launches Mathstral 7B and Codestral Mamba 7B. On the MATH benchmark, Mathstral 7B obtains 56.6% pass@1, outperforming Minerva 540B by more than 20%. Mathstral scores 68.4% on MATH with majority voting@64, and 74.6% using a reward model. https://mistral.ai/news/mathstral/ Codestral Mamba is one of the first open source models with a Mamba 2 architecture. It is the best 7B code model available, and is trained with a context length of 256k tokens. https://mistral.ai/news/codestral-mamba/
3. SpreadsheetLLM: Encoding Spreadsheets for Large Language Models https://arxiv.org/abs/2407.09025
4. Human-like Episodic Memory for Infinite Context LLMs https://arxiv.org/abs/2407.09450
5. Generating Games Via Evolution and Language Models https://arxiv.org/abs/2407.09388
6. Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation https://arxiv.org/abs/2407.10817
7. Learning Multiple Concepts from a Single Image — Unsupervised Concept Extraction (UCE) is a new task that extracts and recreates multiple concepts from a single image without any human annotations. https://haoosz.github.io/ConceptExpress/
8. AI method radically speeds predictions of materials’ thermal properties https://news.mit.edu/2024/ai-method-radically-speeds-predictions-materials-thermal-properties-0716
9. Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer’s disease https://www.cam.ac.uk/research/news/artificial-intelligence-outperforms-clinical-tests-at-predicting-progress-of-alzheimers-disease
10. Does GPT-4 have Theory of Mind? “Across the battery of theory of mind tests, we found that GPT-4 models performed at, or even sometimes above, human levels” https://www.nature.com/articles/s41562-024-01882-z
Robotics:
1. “UMI on Legs is a framework for combining real-world human demonstrations with simulation trained whole-body controllers, providing a scalable approach for manipulation skills on robot dogs with arms.” https://umi-on-legs.github.io/
2. Surgical Robot Transformer🪡: Automating delicate surgical tasks with end-to-end imitation learning. https://surgical-robot-transformer.github.io/
Biotechnology:
1. Multiplex Gene Editing: Where Are We Now? https://www.lesswrong.com/posts/oSy5vHvwSfnjmC7Tf/multiplex-gene-editing-where-are-we-now
2. Disruptive and innovative approach to drug discovery using high throughput in vivo screening. https://www.gordian.bio/blog/the-in-vivo-screening-revolution/
3. Genomic Language Models: Opportunities and Challenges https://arxiv.org/abs/2407.11435
4. Wet-lab innovations will lead the AI revolution in biology https://www.abhishaike.com/p/wet-lab-innovations-will-lead-the
Miscellaneous:
1. New quantum computer smashes 'quantum supremacy' record by a factor of 100 — and it consumes 30,000 times less power https://www.livescience.com/technology/computing/new-quantum-computer-smashes-quantum-supremacy-record-by-a-factor-of-100-and-it-consumes-30000-times-less-power
2. A new meta-analysis of group differences in measured IQs in Britain https://www.emilkirkegaard.com/p/the-ethnic-meritocracy-in-the-united
3. Study reveals how an anesthesia drug induces unconsciousness https://news.mit.edu/2024/study-reveals-how-anesthesia-drug-induces-unconsciousnes-0715
4. Simulation arguments, a research paper in philosophy. https://jc.gatspress.com/pdf/simulation_arguments_revised.pdf
South Korea:
1. More South Koreans want Seoul to have its own nuclear weapons https://www.ft.com/content/0a7b8855-5682-4fbf-be42-156811d4d578 [no paywall: https://archive.is/2v3Mb]
2. South Korea to mass produce lasers that can take out drones at $1.50 a hit https://edition.cnn.com/2024/07/11/asia/south-korea-antidrone-lasers-intl-hnk-ml/index.html
AI:
1. Trump allies draft AI order to launch ‘Manhattan Projects’ for defense to compete with China https://www.washingtonpost.com/technology/2024/07/16/trump-ai-executive-order-regulations-military [no paywall: https://archive.is/LFseW]
2. Mistral launches Mathstral 7B and Codestral Mamba 7B. On the MATH benchmark, Mathstral 7B obtains 56.6% pass@1, outperforming Minerva 540B by more than 20%. Mathstral scores 68.4% on MATH with majority voting@64, and 74.6% using a reward model. https://mistral.ai/news/mathstral/ Codestral Mamba is one of the first open source models with a Mamba 2 architecture. It is the best 7B code model available, and is trained with a context length of 256k tokens. https://mistral.ai/news/codestral-mamba/
3. SpreadsheetLLM: Encoding Spreadsheets for Large Language Models https://arxiv.org/abs/2407.09025
4. Human-like Episodic Memory for Infinite Context LLMs https://arxiv.org/abs/2407.09450
5. Generating Games Via Evolution and Language Models https://arxiv.org/abs/2407.09388
6. Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation https://arxiv.org/abs/2407.10817
7. Learning Multiple Concepts from a Single Image — Unsupervised Concept Extraction (UCE) is a new task that extracts and recreates multiple concepts from a single image without any human annotations. https://haoosz.github.io/ConceptExpress/
8. AI method radically speeds predictions of materials’ thermal properties https://news.mit.edu/2024/ai-method-radically-speeds-predictions-materials-thermal-properties-0716
9. Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer’s disease https://www.cam.ac.uk/research/news/artificial-intelligence-outperforms-clinical-tests-at-predicting-progress-of-alzheimers-disease
10. Does GPT-4 have Theory of Mind? “Across the battery of theory of mind tests, we found that GPT-4 models performed at, or even sometimes above, human levels” https://www.nature.com/articles/s41562-024-01882-z
Robotics:
1. “UMI on Legs is a framework for combining real-world human demonstrations with simulation trained whole-body controllers, providing a scalable approach for manipulation skills on robot dogs with arms.” https://umi-on-legs.github.io/
2. Surgical Robot Transformer🪡: Automating delicate surgical tasks with end-to-end imitation learning. https://surgical-robot-transformer.github.io/
Biotechnology:
1. Multiplex Gene Editing: Where Are We Now? https://www.lesswrong.com/posts/oSy5vHvwSfnjmC7Tf/multiplex-gene-editing-where-are-we-now
2. Disruptive and innovative approach to drug discovery using high throughput in vivo screening. https://www.gordian.bio/blog/the-in-vivo-screening-revolution/
3. Genomic Language Models: Opportunities and Challenges https://arxiv.org/abs/2407.11435
4. Wet-lab innovations will lead the AI revolution in biology https://www.abhishaike.com/p/wet-lab-innovations-will-lead-the
Miscellaneous:
1. New quantum computer smashes 'quantum supremacy' record by a factor of 100 — and it consumes 30,000 times less power https://www.livescience.com/technology/computing/new-quantum-computer-smashes-quantum-supremacy-record-by-a-factor-of-100-and-it-consumes-30000-times-less-power
2. A new meta-analysis of group differences in measured IQs in Britain https://www.emilkirkegaard.com/p/the-ethnic-meritocracy-in-the-united
3. Study reveals how an anesthesia drug induces unconsciousness https://news.mit.edu/2024/study-reveals-how-anesthesia-drug-induces-unconsciousnes-0715
4. Simulation arguments, a research paper in philosophy. https://jc.gatspress.com/pdf/simulation_arguments_revised.pdf
South Korea:
1. More South Koreans want Seoul to have its own nuclear weapons https://www.ft.com/content/0a7b8855-5682-4fbf-be42-156811d4d578 [no paywall: https://archive.is/2v3Mb]
2. South Korea to mass produce lasers that can take out drones at $1.50 a hit https://edition.cnn.com/2024/07/11/asia/south-korea-antidrone-lasers-intl-hnk-ml/index.html
👍2❤1👏1
Links for 2024-07-19
AI:
1. Implicit meta-learning may lead language models to trust more reliable sources — “Our results suggest that during training, LLMs better internalize text that appears useful for predicting other text (e.g. seems reliable).” https://arxiv.org/abs/2310.15047
2. Weak-to-Strong Reasoning: A progressive learning framework that enables the strong model to autonomously refine its training data, without requiring input from either a more advanced model or human-annotated data. https://arxiv.org/abs/2407.13647
3. OpenAI: “We trained advanced language models to generate text that weaker models can easily verify, and found it also made these texts easier for human evaluation.” https://openai.com/index/prover-verifier-games-improve-legibility/
4. Towards intelligence too cheap to meter: OpenAI announced GPT-4o Mini. A powerful, lightweight, and cost-efficient model. 15 cents per million input tokens, 60 cents per million output tokens. https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/
5. “…it is possible to find multiple steering vectors in a language model that activate very similar behaviors while all being orthogonal.” https://www.lesswrong.com/posts/CbSEZSpjdpnvBcEvc/i-found-greater-than-800-orthogonal-write-code-steering
6. Goldfish: Vision-Language Understanding of Arbitrarily Long Videos https://arxiv.org/abs/2407.12679
7. “This method demonstrates significant improvements over traditional multimodal training on image-text pairs, while reducing training costs by approximately 95%.” https://arxiv.org/abs/2407.12580
8. Machine learning unlocks secrets to advanced alloys https://news.mit.edu/2024/machine-learning-unlocks-secrets-advanced-alloys-0718
9. What Could Conquer the Superweeds? Bayer and Others Turn to AI https://www.wsj.com/science/environment/super-weed-killer-ai-8105de6a [no paywall: https://archive.is/X5heZ]
10. How well can AI chatbots mimic doctors in a treatment setting? We put 5 to the test https://www.cnbc.com/2024/07/18/op-ed-how-well-can-ai-chatbots-mimic-doctors.html
11. Claude 3.5 system prompt for coding https://www.reddit.com/r/ClaudeAI/comments/1dwra38/sonnet_35_for_coding_system_prompt/
12. “Samsung’s new image-generating AI tool is a little too good” https://www.theverge.com/2024/7/17/24199005/samsung-galaxy-ai-z-fold-6-sketch-to-image
13. JPMorgan CEO Jamie Dimon says he’ll add thousands of jobs focused on AI in the next couple of years. https://www.businessinsider.in/artificial-intelligence/news/jpmorgan-ceo-jamie-dimon-says-hell-add-thousands-of-jobs-focused-on-ai-in-the-next-couple-of-years/articleshow/111823636.cms
14. Meta won't offer future multimodal AI models in EU, citing regulatory uncertainty. https://www.axios.com/2024/07/17/meta-future-multimodal-ai-models-eu
15. “Donald Trump says America is on the cusp of a new golden age which will require tremendous energy investments to power AI” https://x.com/tsarnick/status/1814149823765086384
Miscellaneous:
1. “New study found that relative reproductive success (RLRS) is higher for people with high ADHD polygenic scores and lower for people with high education attainment and cognitive polygenic scores. People are becoming genetically more ADHD and genetically lower IQ” https://x.com/BronskiJoseph/status/1813571969536630999 (paper: https://link.springer.com/article/10.1007/s10519-024-10189-8]
2. New anti-ageing therapy extends life of mice by 25%, study finds https://www.nature.com/articles/s41586-024-07701-9
3. “We find no evidence for a negative association between COVID-19 infection and subsequent measures of cognitive functioning. The associations found in earlier studies may at least partly reflect reverse causation.” https://marginalrevolution.com/marginalrevolution/2024/07/good-news-on-covid-and-your-brain.html
4. “The Meiji government translated 10,000 technical books...Then, Japan became an industrial powerhouse. Must be the greatest industrial policy investment ever made!” https://x.com/whyvert/status/1814008181104029995 (paper: https://www.nber.org/papers/w32667)
AI:
1. Implicit meta-learning may lead language models to trust more reliable sources — “Our results suggest that during training, LLMs better internalize text that appears useful for predicting other text (e.g. seems reliable).” https://arxiv.org/abs/2310.15047
2. Weak-to-Strong Reasoning: A progressive learning framework that enables the strong model to autonomously refine its training data, without requiring input from either a more advanced model or human-annotated data. https://arxiv.org/abs/2407.13647
3. OpenAI: “We trained advanced language models to generate text that weaker models can easily verify, and found it also made these texts easier for human evaluation.” https://openai.com/index/prover-verifier-games-improve-legibility/
4. Towards intelligence too cheap to meter: OpenAI announced GPT-4o Mini. A powerful, lightweight, and cost-efficient model. 15 cents per million input tokens, 60 cents per million output tokens. https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/
5. “…it is possible to find multiple steering vectors in a language model that activate very similar behaviors while all being orthogonal.” https://www.lesswrong.com/posts/CbSEZSpjdpnvBcEvc/i-found-greater-than-800-orthogonal-write-code-steering
6. Goldfish: Vision-Language Understanding of Arbitrarily Long Videos https://arxiv.org/abs/2407.12679
7. “This method demonstrates significant improvements over traditional multimodal training on image-text pairs, while reducing training costs by approximately 95%.” https://arxiv.org/abs/2407.12580
8. Machine learning unlocks secrets to advanced alloys https://news.mit.edu/2024/machine-learning-unlocks-secrets-advanced-alloys-0718
9. What Could Conquer the Superweeds? Bayer and Others Turn to AI https://www.wsj.com/science/environment/super-weed-killer-ai-8105de6a [no paywall: https://archive.is/X5heZ]
10. How well can AI chatbots mimic doctors in a treatment setting? We put 5 to the test https://www.cnbc.com/2024/07/18/op-ed-how-well-can-ai-chatbots-mimic-doctors.html
11. Claude 3.5 system prompt for coding https://www.reddit.com/r/ClaudeAI/comments/1dwra38/sonnet_35_for_coding_system_prompt/
12. “Samsung’s new image-generating AI tool is a little too good” https://www.theverge.com/2024/7/17/24199005/samsung-galaxy-ai-z-fold-6-sketch-to-image
13. JPMorgan CEO Jamie Dimon says he’ll add thousands of jobs focused on AI in the next couple of years. https://www.businessinsider.in/artificial-intelligence/news/jpmorgan-ceo-jamie-dimon-says-hell-add-thousands-of-jobs-focused-on-ai-in-the-next-couple-of-years/articleshow/111823636.cms
14. Meta won't offer future multimodal AI models in EU, citing regulatory uncertainty. https://www.axios.com/2024/07/17/meta-future-multimodal-ai-models-eu
15. “Donald Trump says America is on the cusp of a new golden age which will require tremendous energy investments to power AI” https://x.com/tsarnick/status/1814149823765086384
Miscellaneous:
1. “New study found that relative reproductive success (RLRS) is higher for people with high ADHD polygenic scores and lower for people with high education attainment and cognitive polygenic scores. People are becoming genetically more ADHD and genetically lower IQ” https://x.com/BronskiJoseph/status/1813571969536630999 (paper: https://link.springer.com/article/10.1007/s10519-024-10189-8]
2. New anti-ageing therapy extends life of mice by 25%, study finds https://www.nature.com/articles/s41586-024-07701-9
3. “We find no evidence for a negative association between COVID-19 infection and subsequent measures of cognitive functioning. The associations found in earlier studies may at least partly reflect reverse causation.” https://marginalrevolution.com/marginalrevolution/2024/07/good-news-on-covid-and-your-brain.html
4. “The Meiji government translated 10,000 technical books...Then, Japan became an industrial powerhouse. Must be the greatest industrial policy investment ever made!” https://x.com/whyvert/status/1814008181104029995 (paper: https://www.nber.org/papers/w32667)
❤1
Links for 2024-07-21
1. Interfacing an LLM with a reliable symbolic system (Prolog) raises math performance near ceiling: Tested on an *entirely new* collection of math word problems, the Non-Linear (NLR) reasoning dataset, to ensure all were outside the LLM training set. GPT fails completely. But GPT writing prolog code succeeds near ceiling. https://arxiv.org/abs/2407.11373
2. How can informal reasoning improve formal theorem proving? Lean-STaR: A framework for learning to interleave informal thoughts with steps of formal proving. Training language models to produce informal thoughts prior to each step of a proof, thereby improving the model’s formal theorem-proving capabilities. https://arxiv.org/abs/2407.10040
3. Adding self-modeling to artificial networks causes a significant reduction in network complexity. When artificial networks learn to predict their internal states as an auxiliary task, they change in a fundamental way. https://arxiv.org/abs/2407.10188
4. A system that incorporates both natural language pre-training and reinforcement learning from the start. https://arxiv.org/abs/2308.01399
5. Georgia Tech researchers have developed a neural network, RTNet, that mimics human decision-making processes, including confidence and variability, improving its reliability and accuracy in tasks like digit recognition. https://research.gatech.edu/new-neural-network-makes-decisions-human-would
6. R+X: Retrieval and Execution from Everyday Human Videos — By using a VLM for retrieval and in-context IL for execution, robots can now learn from unlabelled videos of humans performing tasks. https://www.robot-learning.uk/r-plus-x
7. “We trained GPT2 to predict the product of two numbers up to 🌟20🌟 digits w/o intermediate reasoning steps, surpassing our previous 15-digit demo! How does a 12-layer LM solve 20-digit multiplication w/o CoT?🤯” https://arxiv.org/abs/2405.14838
8. AI AI Bias: Large Language Models Favor Their Own Generated Content https://arxiv.org/abs/2407.12856
9. Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? https://arxiv.org/abs/2406.04391
10. NuminaMath datasets: the largest collection of ~1M math competition problem-solution pairs, ranging in difficulty from junior challenge to Math Olympiad preselection. These datasets were used to win the 1st Progress Prize of the AI Math Olympiad. https://huggingface.co/collections/AI-MO/numinamath-6697df380293bcfdbc1d978c
11. The AI-Powered Future of Coding Is Near https://www.wired.com/ai-powered-coding/ [no paywall: https://archive.is/BRBCw]
12. OpenAI employee: a 60% probability that AGI will have been built in the next 3 years, and 90% in the next 5 years. https://x.com/TolgaBilge_/status/1814828193985003666
Miscellaneous:
1. Accidentally exposed yellowish-green crystals reveal ‘mind-blowing’ finding on Mars, scientists say https://edition.cnn.com/2024/07/20/science/nasa-curiosity-rover-mars-sulfur-rocks/index.html
2. Chinese nuclear reactor is completely meltdown-proof https://www.newscientist.com/article/2440388-chinese-nuclear-reactor-is-completely-meltdown-proof/ [no paywall: https://archive.is/OPcrZ]
3. Your brain on shrooms — how psilocybin resets neural networks https://www.nature.com/articles/d41586-024-02275-y
4. Dogs might have evolved to read your emotions https://www.nature.com/articles/d41586-024-02320-w
1. Interfacing an LLM with a reliable symbolic system (Prolog) raises math performance near ceiling: Tested on an *entirely new* collection of math word problems, the Non-Linear (NLR) reasoning dataset, to ensure all were outside the LLM training set. GPT fails completely. But GPT writing prolog code succeeds near ceiling. https://arxiv.org/abs/2407.11373
2. How can informal reasoning improve formal theorem proving? Lean-STaR: A framework for learning to interleave informal thoughts with steps of formal proving. Training language models to produce informal thoughts prior to each step of a proof, thereby improving the model’s formal theorem-proving capabilities. https://arxiv.org/abs/2407.10040
3. Adding self-modeling to artificial networks causes a significant reduction in network complexity. When artificial networks learn to predict their internal states as an auxiliary task, they change in a fundamental way. https://arxiv.org/abs/2407.10188
4. A system that incorporates both natural language pre-training and reinforcement learning from the start. https://arxiv.org/abs/2308.01399
5. Georgia Tech researchers have developed a neural network, RTNet, that mimics human decision-making processes, including confidence and variability, improving its reliability and accuracy in tasks like digit recognition. https://research.gatech.edu/new-neural-network-makes-decisions-human-would
6. R+X: Retrieval and Execution from Everyday Human Videos — By using a VLM for retrieval and in-context IL for execution, robots can now learn from unlabelled videos of humans performing tasks. https://www.robot-learning.uk/r-plus-x
7. “We trained GPT2 to predict the product of two numbers up to 🌟20🌟 digits w/o intermediate reasoning steps, surpassing our previous 15-digit demo! How does a 12-layer LM solve 20-digit multiplication w/o CoT?🤯” https://arxiv.org/abs/2405.14838
8. AI AI Bias: Large Language Models Favor Their Own Generated Content https://arxiv.org/abs/2407.12856
9. Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? https://arxiv.org/abs/2406.04391
10. NuminaMath datasets: the largest collection of ~1M math competition problem-solution pairs, ranging in difficulty from junior challenge to Math Olympiad preselection. These datasets were used to win the 1st Progress Prize of the AI Math Olympiad. https://huggingface.co/collections/AI-MO/numinamath-6697df380293bcfdbc1d978c
11. The AI-Powered Future of Coding Is Near https://www.wired.com/ai-powered-coding/ [no paywall: https://archive.is/BRBCw]
12. OpenAI employee: a 60% probability that AGI will have been built in the next 3 years, and 90% in the next 5 years. https://x.com/TolgaBilge_/status/1814828193985003666
Miscellaneous:
1. Accidentally exposed yellowish-green crystals reveal ‘mind-blowing’ finding on Mars, scientists say https://edition.cnn.com/2024/07/20/science/nasa-curiosity-rover-mars-sulfur-rocks/index.html
2. Chinese nuclear reactor is completely meltdown-proof https://www.newscientist.com/article/2440388-chinese-nuclear-reactor-is-completely-meltdown-proof/ [no paywall: https://archive.is/OPcrZ]
3. Your brain on shrooms — how psilocybin resets neural networks https://www.nature.com/articles/d41586-024-02275-y
4. Dogs might have evolved to read your emotions https://www.nature.com/articles/d41586-024-02320-w
👍4
Links for 2024-07-25
AI:
1. Mistral: “Today, we release Mistral Large 2, the new version of our largest model. Mistral Large 2 is a 123B-parameter model with a 128k context window. On many benchmarks (notably in code generation and math), it is superior or on par with Llama 3.1 405B.” https://mistral.ai/news/mistral-large-2407/ (Try it here: https://chat.mistral.ai/chat)
2. Meta: “Introducing Llama 3.1: Our most capable models to date” https://ai.meta.com/blog/meta-llama-3-1/ (Try it here: https://huggingface.co/chat/)
3. Mark Zuckerberg: “Open Source AI Is the Path Forward” https://about.fb.com/news/2024/07/open-source-ai-is-the-path-forward/
4. OpenAI: “We’ve developed Rule-Based Rewards (RBRs) to align AI behavior safely without needing extensive human data collection, making our systems safer and more reliable for everyday use.” https://openai.com/index/improving-model-safety-behavior-with-rule-based-rewards/
5. System-1.x: Learning to Balance Fast and Slow Planning with Language Models https://arxiv.org/abs/2407.14414
6. Study suggests that models may have more nuanced and generalizable understandings of truth and falsity than previously thought. Authors find a two-dimensional subspace within an LLM's representations: a general truth direction and a polarity-sensitive one. https://arxiv.org/abs/2407.12831
7. Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs https://arxiv.org/abs/2407.15549
8. Cross Anything: General Quadruped Robot Navigation through Complex Terrains https://arxiv.org/abs/2407.16412
9. MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence https://arxiv.org/abs/2407.16655
10. Generating all tokens at once with flow matching https://arxiv.org/abs/2407.15595
11. An open-source platform that enables development teams to create AI agents that monitor issues, manage bugs, and handle various aspects of the software lifecycle—all through natural language interactions. https://venturebeat.com/ai/google-brings-ai-agent-platform-project-oscar-open-source/
Neuroscience:
1. “Our results shed light on the possible rationale for the brain’s modularity and suggest that artificial systems can use this insight from neuroscience to improve learning and generalization in natural tasks.” [PDF] https://www.science.org/doi/pdf/10.1126/sciadv.adk1256
2. “If you want to unlock unlimited intelligence you need to increase density of microtubules in the PFC” https://x.com/SterlingCooley/status/1757802109293261245
3. Rice neuroscientists to build state-of-the-art neural recording system https://news.rice.edu/news/2024/rice-neuroscientists-build-state-art-neural-recording-system
Drones:
1. The world’s smallest and lightest solar-powered drone, weighing just 4.21g with a 200mm wingspan. It can fly non-stop during daylight. https://www.tomshardware.com/tech-industry/new-chinese-drone-can-fly-as-long-as-the-sun-shines-solar-powered-device-with-200mm-wingspan-weighs-record-breaking-421g
2. Bug brains could help drone swarms find their way home https://www.popsci.com/technology/drones-ants-memory/
Miscellaneous:
1. "We estimate that the decline in Nuclear power Plants caused by Chernobyl led to the loss of approximately 141 million expected life years in the U.S., 33 in the U.K. and 318 million globally" [PDF] https://conference.nber.org/conf_papers/f205791.pdf
2. HKUST Engineering Researchers Discover a “Secret” Hidden Structure that Paves New Way of Making More Efficient and Stable Perovskite Solar Cells https://seng.hkust.edu.hk/news/20240719/hkust-engineering-researchers-discover-secret-hidden-structure-paves-new-way-making-more-efficient-and-stable-perovskite-solar-cells
3. Free book: Linear Algebra for Data Science https://kyunghyuncho.me/linear-algebra-for-data-science/
4. “China appears to be stockpiling materials at a rapid pace…when commodities are expensive” https://www.economist.com/finance-and-economics/2024/07/23/why-is-xi-jinping-building-secret-commodity-stockpiles [no paywall: https://archive.is/XiIMu]
AI:
1. Mistral: “Today, we release Mistral Large 2, the new version of our largest model. Mistral Large 2 is a 123B-parameter model with a 128k context window. On many benchmarks (notably in code generation and math), it is superior or on par with Llama 3.1 405B.” https://mistral.ai/news/mistral-large-2407/ (Try it here: https://chat.mistral.ai/chat)
2. Meta: “Introducing Llama 3.1: Our most capable models to date” https://ai.meta.com/blog/meta-llama-3-1/ (Try it here: https://huggingface.co/chat/)
3. Mark Zuckerberg: “Open Source AI Is the Path Forward” https://about.fb.com/news/2024/07/open-source-ai-is-the-path-forward/
4. OpenAI: “We’ve developed Rule-Based Rewards (RBRs) to align AI behavior safely without needing extensive human data collection, making our systems safer and more reliable for everyday use.” https://openai.com/index/improving-model-safety-behavior-with-rule-based-rewards/
5. System-1.x: Learning to Balance Fast and Slow Planning with Language Models https://arxiv.org/abs/2407.14414
6. Study suggests that models may have more nuanced and generalizable understandings of truth and falsity than previously thought. Authors find a two-dimensional subspace within an LLM's representations: a general truth direction and a polarity-sensitive one. https://arxiv.org/abs/2407.12831
7. Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs https://arxiv.org/abs/2407.15549
8. Cross Anything: General Quadruped Robot Navigation through Complex Terrains https://arxiv.org/abs/2407.16412
9. MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence https://arxiv.org/abs/2407.16655
10. Generating all tokens at once with flow matching https://arxiv.org/abs/2407.15595
11. An open-source platform that enables development teams to create AI agents that monitor issues, manage bugs, and handle various aspects of the software lifecycle—all through natural language interactions. https://venturebeat.com/ai/google-brings-ai-agent-platform-project-oscar-open-source/
Neuroscience:
1. “Our results shed light on the possible rationale for the brain’s modularity and suggest that artificial systems can use this insight from neuroscience to improve learning and generalization in natural tasks.” [PDF] https://www.science.org/doi/pdf/10.1126/sciadv.adk1256
2. “If you want to unlock unlimited intelligence you need to increase density of microtubules in the PFC” https://x.com/SterlingCooley/status/1757802109293261245
3. Rice neuroscientists to build state-of-the-art neural recording system https://news.rice.edu/news/2024/rice-neuroscientists-build-state-art-neural-recording-system
Drones:
1. The world’s smallest and lightest solar-powered drone, weighing just 4.21g with a 200mm wingspan. It can fly non-stop during daylight. https://www.tomshardware.com/tech-industry/new-chinese-drone-can-fly-as-long-as-the-sun-shines-solar-powered-device-with-200mm-wingspan-weighs-record-breaking-421g
2. Bug brains could help drone swarms find their way home https://www.popsci.com/technology/drones-ants-memory/
Miscellaneous:
1. "We estimate that the decline in Nuclear power Plants caused by Chernobyl led to the loss of approximately 141 million expected life years in the U.S., 33 in the U.K. and 318 million globally" [PDF] https://conference.nber.org/conf_papers/f205791.pdf
2. HKUST Engineering Researchers Discover a “Secret” Hidden Structure that Paves New Way of Making More Efficient and Stable Perovskite Solar Cells https://seng.hkust.edu.hk/news/20240719/hkust-engineering-researchers-discover-secret-hidden-structure-paves-new-way-making-more-efficient-and-stable-perovskite-solar-cells
3. Free book: Linear Algebra for Data Science https://kyunghyuncho.me/linear-algebra-for-data-science/
4. “China appears to be stockpiling materials at a rapid pace…when commodities are expensive” https://www.economist.com/finance-and-economics/2024/07/23/why-is-xi-jinping-building-secret-commodity-stockpiles [no paywall: https://archive.is/XiIMu]
👍5
AI System Achieves International Mathematical Olympiad Silver Medal-level Score
During the week of the competition, this system was able to fully solve 4 of the 6 problems on this year's IMO exam, achieving a score of 28 (each problem is worth 7 points), placing it at the upper end of the IMO Silver Medal range (a level achieved by 58 of the 609 contestants in this year's IMO).
Image: Problem 4 of the 6, a geometry problem that AlphaGeometry solved in 19 seconds after receiving its formalization.
“The fact that the program can come up with a non-obvious construction like this is very impressive, and well beyond what I thought was state of the art."
— Prof Sir Timothy Gowers, IMO gold medalist and Fields Medal winner
This represents a major advance in the capabilities of AI systems to correctly perform complex mathematical reasoning on par with the world's best young mathematicians.
Read more: https://deepmind.google/discover/blog/ai-solves-imo-problems-at-silver-medal-level/
During the week of the competition, this system was able to fully solve 4 of the 6 problems on this year's IMO exam, achieving a score of 28 (each problem is worth 7 points), placing it at the upper end of the IMO Silver Medal range (a level achieved by 58 of the 609 contestants in this year's IMO).
Image: Problem 4 of the 6, a geometry problem that AlphaGeometry solved in 19 seconds after receiving its formalization.
“The fact that the program can come up with a non-obvious construction like this is very impressive, and well beyond what I thought was state of the art."
— Prof Sir Timothy Gowers, IMO gold medalist and Fields Medal winner
This represents a major advance in the capabilities of AI systems to correctly perform complex mathematical reasoning on par with the world's best young mathematicians.
Read more: https://deepmind.google/discover/blog/ai-solves-imo-problems-at-silver-medal-level/
❤5👍3⚡2🔥1
Mathematician and former IMO coach Po-Shen Loh: https://facebook.com/share/p/vvssMMNuuGBJAa6D/
"I tried this year’s problems while I was at the International #Math Olympiad myself. It took me hours. I imagine that when people saw Sputnik overhead in 1957, they might have had the same feeling that I do now.
...this AI breakthrough is totally different from #GPT-4 being able to do standardized tests through pattern-matching. It strikes at the heart of discovery. It's very common for students to hit a wall the first time they try IMO-style problems, because they are accustomed to learning from example, remembering, and executing similar steps."
"I tried this year’s problems while I was at the International #Math Olympiad myself. It took me hours. I imagine that when people saw Sputnik overhead in 1957, they might have had the same feeling that I do now.
...this AI breakthrough is totally different from #GPT-4 being able to do standardized tests through pattern-matching. It strikes at the heart of discovery. It's very common for students to hit a wall the first time they try IMO-style problems, because they are accustomed to learning from example, remembering, and executing similar steps."
👍4❤1
NASA: "Look closely 👀
These “leopard spots” on a Martian rock are clues pointing to possibly the best signs of ancient microbial life we’ve found yet on Mars. To know for sure, we need to study the rock in labs on Earth."
https://www.jpl.nasa.gov/news/nasas-perseverance-rover-scientists-find-intriguing-mars-rock
These “leopard spots” on a Martian rock are clues pointing to possibly the best signs of ancient microbial life we’ve found yet on Mars. To know for sure, we need to study the rock in labs on Earth."
https://www.jpl.nasa.gov/news/nasas-perseverance-rover-scientists-find-intriguing-mars-rock
🤯15🥴6👏5🤡4👍3🔥2💩2❤1
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Apples or Hamsters? 🍎🐹, Kling AI
👏17😁3❤🔥2👍2👎1
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Big Bang Gears by Tamás Görbe
"With the fastest gear turning once every 1.5 seconds and a gear ratio of 4:1 the last gear completes a full turn once every (you guessed it) 13.7 billion years!!
The outer teeth on the last gear move by a proton's diameter every 25 minutes..."
Source: https://x.com/TamasGorbe/status/1816761031743471847
"With the fastest gear turning once every 1.5 seconds and a gear ratio of 4:1 the last gear completes a full turn once every (you guessed it) 13.7 billion years!!
The outer teeth on the last gear move by a proton's diameter every 25 minutes..."
Source: https://x.com/TamasGorbe/status/1816761031743471847
👍9🤯7🥱3
Links for 2024-07-28
AI:
1. Recursive Introspection: Teaching Language Model Agents How to Self-Improve https://arxiv.org/abs/2407.18219
2. How do we leverage AI-synthesized data without catastrophic degradation? Rank-and-prune feedback, from humans or even weaker models, provably restores and even surpasses original performance! https://arxiv.org/abs/2406.07515 (related: Model collapse is not a significant threat under current best practices https://x.com/RylanSchaeffer/status/1816881533795422404)
3. Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk https://arxiv.org/abs/2401.05033
4. The space of human goals is infinitely vast -- yet, people spontaneously infer plausible motivations for others from just a few actions. How? Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals https://arxiv.org/abs/2407.16770
5. How to make your robot handle diverse visual scenarios? Maniwhere: A Visual Generalizable Framework For Reinforcement Learning https://gemcollector.github.io/maniwhere/
6. “Do neural networks dream of internal goals? We confirm RNNs trained to play Sokoban with RL learn to plan. Our black-box analysis reveals novel behaviors such as agents “pacing” to gain thinking time. We open-source the RNNs as model organisms for interpretability research.” https://far.ai/post/2024-07-learned-planners/
7. Discovery of Crystallizable Organic Semiconductors with Machine LearningClick to copy article link https://pubs.acs.org/doi/10.1021/jacs.4c05245
8. Advanced Hardware Device Slashes AI Energy Consumption by 1000x https://cse.umn.edu/college/news/researchers-develop-state-art-device-make-artificial-intelligence-more-energy
9. “it turns out that the reason GPT-2 couldn't multiply four-digit numbers wasn't too few layers, too small of a hidden dimension, or bad training data. all that was fine. the learning algorithm itself was the issue” https://x.com/jxmnop/status/1816958426385383753
10. "Fundamentally, more compute directly translates into better results, both at training time and at inference time. This trend isn't going to stop, even after we hit the training data ceiling." https://x.com/fchollet/status/1816808401093161276
Science:
1. Dual-action antibiotic could make bacterial resistance nearly impossible https://today.uic.edu/dual-action-antibiotic-could-make-bacterial-resistance-nearly-impossible/
2. The brain does not have a miraculous ability to 'rewire' itself or repurpose neurons to overcome injury or disability, despite the popular explanation. Instead it just enhances or emphasizes different parts of pre-existing structures by simple repetition https://elifesciences.org/articles/84716
3. Remember the supermodel granny drug that extended lifespan by 25% in mice by IL-11 last week? It only took 8 days for a new intervention to come out increasing lifespan by 35%!! https://www.biorxiv.org/content/10.1101/2024.07.25.605097v1
Physics:
1. Within the flash of a brilliant gamma-ray burst, astronomers have found a remarkable signal: Matter and antimatter destroying each other. While fleeing a newborn black hole. Moving at 99.9% the speed of light. https://science.nasa.gov/science-research/astrophysics/gamma-ray-bursts/nasas-fermi-finds-new-feature-in-brightest-gamma-ray-burst-yet-seen/
2. Contrary to what general relativity says, black holes can't be made solely from light - because quantum effects prevent it. https://physics.aps.org/articles/v17/119
Politics:
1. “We now have fertility data for 2023 from Denmark, and it looks like every major group—from nonwestern migrants to native Danes—is still below replacement, and the situation is largely progressing in the wrong direction…Yes, even Muslims, Africans, and other globally high-fertility groups have low fertility after migration.” https://x.com/cremieuxrecueil/status/1816878701549617245
2. 1% of people are responsible for 24% of the health spending in America and 5% of people are responsible for just over half. https://x.com/cremieuxrecueil/status/1817249178017321257
AI:
1. Recursive Introspection: Teaching Language Model Agents How to Self-Improve https://arxiv.org/abs/2407.18219
2. How do we leverage AI-synthesized data without catastrophic degradation? Rank-and-prune feedback, from humans or even weaker models, provably restores and even surpasses original performance! https://arxiv.org/abs/2406.07515 (related: Model collapse is not a significant threat under current best practices https://x.com/RylanSchaeffer/status/1816881533795422404)
3. Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk https://arxiv.org/abs/2401.05033
4. The space of human goals is infinitely vast -- yet, people spontaneously infer plausible motivations for others from just a few actions. How? Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals https://arxiv.org/abs/2407.16770
5. How to make your robot handle diverse visual scenarios? Maniwhere: A Visual Generalizable Framework For Reinforcement Learning https://gemcollector.github.io/maniwhere/
6. “Do neural networks dream of internal goals? We confirm RNNs trained to play Sokoban with RL learn to plan. Our black-box analysis reveals novel behaviors such as agents “pacing” to gain thinking time. We open-source the RNNs as model organisms for interpretability research.” https://far.ai/post/2024-07-learned-planners/
7. Discovery of Crystallizable Organic Semiconductors with Machine LearningClick to copy article link https://pubs.acs.org/doi/10.1021/jacs.4c05245
8. Advanced Hardware Device Slashes AI Energy Consumption by 1000x https://cse.umn.edu/college/news/researchers-develop-state-art-device-make-artificial-intelligence-more-energy
9. “it turns out that the reason GPT-2 couldn't multiply four-digit numbers wasn't too few layers, too small of a hidden dimension, or bad training data. all that was fine. the learning algorithm itself was the issue” https://x.com/jxmnop/status/1816958426385383753
10. "Fundamentally, more compute directly translates into better results, both at training time and at inference time. This trend isn't going to stop, even after we hit the training data ceiling." https://x.com/fchollet/status/1816808401093161276
Science:
1. Dual-action antibiotic could make bacterial resistance nearly impossible https://today.uic.edu/dual-action-antibiotic-could-make-bacterial-resistance-nearly-impossible/
2. The brain does not have a miraculous ability to 'rewire' itself or repurpose neurons to overcome injury or disability, despite the popular explanation. Instead it just enhances or emphasizes different parts of pre-existing structures by simple repetition https://elifesciences.org/articles/84716
3. Remember the supermodel granny drug that extended lifespan by 25% in mice by IL-11 last week? It only took 8 days for a new intervention to come out increasing lifespan by 35%!! https://www.biorxiv.org/content/10.1101/2024.07.25.605097v1
Physics:
1. Within the flash of a brilliant gamma-ray burst, astronomers have found a remarkable signal: Matter and antimatter destroying each other. While fleeing a newborn black hole. Moving at 99.9% the speed of light. https://science.nasa.gov/science-research/astrophysics/gamma-ray-bursts/nasas-fermi-finds-new-feature-in-brightest-gamma-ray-burst-yet-seen/
2. Contrary to what general relativity says, black holes can't be made solely from light - because quantum effects prevent it. https://physics.aps.org/articles/v17/119
Politics:
1. “We now have fertility data for 2023 from Denmark, and it looks like every major group—from nonwestern migrants to native Danes—is still below replacement, and the situation is largely progressing in the wrong direction…Yes, even Muslims, Africans, and other globally high-fertility groups have low fertility after migration.” https://x.com/cremieuxrecueil/status/1816878701549617245
2. 1% of people are responsible for 24% of the health spending in America and 5% of people are responsible for just over half. https://x.com/cremieuxrecueil/status/1817249178017321257
👍7💊2
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"Introducing Meta Segment Anything Model 2 (SAM 2) — the first unified model for real-time, promptable object segmentation in images & videos.
SAM 2 is available today under Apache 2.0 so that anyone can use it to build their own experiences"
https://ai.meta.com/blog/segment-anything-2/
SAM 2 is available today under Apache 2.0 so that anyone can use it to build their own experiences"
https://ai.meta.com/blog/segment-anything-2/
👍9
>>Continuous Learning Model (CLM) by Topology<<
"The CLM is a new model that remembers interactions, learns skills autonomously, and thinks in its free time, just like humans.
The CLM just wants to learn.
Try it at https://topologychat.com/
LLMs are stateless.
>CLM remembers and references all chats
LLMs don’t have an inner-life.
>CLM forms ideas by mulling over memories in its free time
LLMs have no soul.
>CLM actively organizes memories/ideas, granting it an emergent personality
CLM is a drop-in replacement for existing LLMs. Change one line of code and get continuous learning.
It simply learns content provided in user messages. Topology’s CLM eliminates RAG, GPTs, reranking, simple agents, and fine-tuning."
"The CLM is a new model that remembers interactions, learns skills autonomously, and thinks in its free time, just like humans.
The CLM just wants to learn.
Try it at https://topologychat.com/
LLMs are stateless.
>CLM remembers and references all chats
LLMs don’t have an inner-life.
>CLM forms ideas by mulling over memories in its free time
LLMs have no soul.
>CLM actively organizes memories/ideas, granting it an emergent personality
CLM is a drop-in replacement for existing LLMs. Change one line of code and get continuous learning.
It simply learns content provided in user messages. Topology’s CLM eliminates RAG, GPTs, reranking, simple agents, and fine-tuning."
🤯9🥴5🔥2
Links for 2024-07-30
AI:
1. Baidu presents an end-to-end self-reasoning framework to improve the reliability and traceability of RAG systems. https://arxiv.org/abs/2407.19813
2. MindSearch is an open-sourced AI search engine framework, with comparable performance with Perplexity.ai Pro. Deploy your own Perplexity.ai style search engine! https://mindsearch.netlify.app/
3. AlphaProof, AlphaGeometry, ChatGPT, and why the future of AI is neurosymbolic https://garymarcus.substack.com/p/alphaproof-alphageometry-chatgp
4. Jack Clark, co-founder of Anthropic: "Registering a prediction: I predict that within two years (by July 2026) we'll see an AI system beat all humans at the IMO, obtaining the top score. Alongside this, I would wager we'll see the same thing - an AI system beating all humans in a known-hard competition - in another scientific domain outside of mathematics. If both of those things occur, I believe that will present strong evidence that AI may successfully automate large chunks of scientific research before the end of the decade." https://importai.substack.com/p/import-ai-380-distributed-13bn-parameter
5. “AI existential risk probabilities are too unreliable to inform policy” https://www.aisnakeoil.com/p/ai-existential-risk-probabilities
6. Small Molecule Optimization with Large Language Models https://arxiv.org/abs/2407.18897
7. Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget — “They trained BERT and outperformed the original using a single GPU in a single day. Their best model used around 1e19 FLOP compared to around 6e20 FLOP for the original BERT. So they are ~60x more compute-efficient after 4 years, consistent with roughly doubling algorithmic efficiency every 8 months.” https://arxiv.org/abs/2407.15811
8. Constrained-CoT: Constraining the reasoning of LLaMA2-70b to 100 words improves the accuracy from 36.01% (CoT) to 41.07% (CCoT) on GSM8K. https://arxiv.org/abs/2407.19825
9. Theia: Distilling Diverse Vision Foundation Models for Robot Learning http://theia.theaiinstitute.com/
10. “SearchGPT has the ‘best shot at changing the search paradigm as we’ve known it for 25 years’” https://www.tomsguide.com/ai/chatgpt/searchgpt-has-the-best-shot-at-changing-the-search-paradigm-as-weve-known-it-for-25-years
11. How This Brain Implant Is Using ChatGPT https://www.cnet.com/tech/computing/how-this-brain-implant-is-using-chatgpt/
12. "The Virtue of Complexity in Return Prediction", Kelly et al 2023 (large models can be profitable even with negative R^2) https://onlinelibrary.wiley.com/doi/full/10.1111/jofi.13298
13. "A Visual Guide to Quantization: Demystifying the Compression of Large Language Models", Maarten Grootendorst 2024 https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization
Space:
1. The discovery of a possible sign of life in Venus’ clouds sparked controversy. Now, scientists say they have more proof https://edition.cnn.com/2024/07/29/science/venus-gases-phosphine-ammonia/index.html
2. “plants found on Earth could even survive the harsh conditions of the Red Planet. One such planet, a type of moss found in arid locales like Tibet & Antarctica, survived rigorous testing, including deep freezing and high radiation" https://www.popularmechanics.com/space/moon-mars/a61668800/moss-from-earth-can-survive-on-mars/
Miscellaneous:
1. Why controlling for variables is insufficient — On the pervasiveness of residual confounding in the social sciences, how to think about it, and what to do https://inquisitivebird.xyz/p/why-controlling-for-variables-is
2. How a Mind-Controlling Parasite Could Deliver Medicine to the Brain https://singularityhub.com/2024/07/29/how-a-mind-controlling-parasite-could-deliver-medicine-to-the-brain/
AI:
1. Baidu presents an end-to-end self-reasoning framework to improve the reliability and traceability of RAG systems. https://arxiv.org/abs/2407.19813
2. MindSearch is an open-sourced AI search engine framework, with comparable performance with Perplexity.ai Pro. Deploy your own Perplexity.ai style search engine! https://mindsearch.netlify.app/
3. AlphaProof, AlphaGeometry, ChatGPT, and why the future of AI is neurosymbolic https://garymarcus.substack.com/p/alphaproof-alphageometry-chatgp
4. Jack Clark, co-founder of Anthropic: "Registering a prediction: I predict that within two years (by July 2026) we'll see an AI system beat all humans at the IMO, obtaining the top score. Alongside this, I would wager we'll see the same thing - an AI system beating all humans in a known-hard competition - in another scientific domain outside of mathematics. If both of those things occur, I believe that will present strong evidence that AI may successfully automate large chunks of scientific research before the end of the decade." https://importai.substack.com/p/import-ai-380-distributed-13bn-parameter
5. “AI existential risk probabilities are too unreliable to inform policy” https://www.aisnakeoil.com/p/ai-existential-risk-probabilities
6. Small Molecule Optimization with Large Language Models https://arxiv.org/abs/2407.18897
7. Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget — “They trained BERT and outperformed the original using a single GPU in a single day. Their best model used around 1e19 FLOP compared to around 6e20 FLOP for the original BERT. So they are ~60x more compute-efficient after 4 years, consistent with roughly doubling algorithmic efficiency every 8 months.” https://arxiv.org/abs/2407.15811
8. Constrained-CoT: Constraining the reasoning of LLaMA2-70b to 100 words improves the accuracy from 36.01% (CoT) to 41.07% (CCoT) on GSM8K. https://arxiv.org/abs/2407.19825
9. Theia: Distilling Diverse Vision Foundation Models for Robot Learning http://theia.theaiinstitute.com/
10. “SearchGPT has the ‘best shot at changing the search paradigm as we’ve known it for 25 years’” https://www.tomsguide.com/ai/chatgpt/searchgpt-has-the-best-shot-at-changing-the-search-paradigm-as-weve-known-it-for-25-years
11. How This Brain Implant Is Using ChatGPT https://www.cnet.com/tech/computing/how-this-brain-implant-is-using-chatgpt/
12. "The Virtue of Complexity in Return Prediction", Kelly et al 2023 (large models can be profitable even with negative R^2) https://onlinelibrary.wiley.com/doi/full/10.1111/jofi.13298
13. "A Visual Guide to Quantization: Demystifying the Compression of Large Language Models", Maarten Grootendorst 2024 https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization
Space:
1. The discovery of a possible sign of life in Venus’ clouds sparked controversy. Now, scientists say they have more proof https://edition.cnn.com/2024/07/29/science/venus-gases-phosphine-ammonia/index.html
2. “plants found on Earth could even survive the harsh conditions of the Red Planet. One such planet, a type of moss found in arid locales like Tibet & Antarctica, survived rigorous testing, including deep freezing and high radiation" https://www.popularmechanics.com/space/moon-mars/a61668800/moss-from-earth-can-survive-on-mars/
Miscellaneous:
1. Why controlling for variables is insufficient — On the pervasiveness of residual confounding in the social sciences, how to think about it, and what to do https://inquisitivebird.xyz/p/why-controlling-for-variables-is
2. How a Mind-Controlling Parasite Could Deliver Medicine to the Brain https://singularityhub.com/2024/07/29/how-a-mind-controlling-parasite-could-deliver-medicine-to-the-brain/
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2018: Self-Driving Cars Will Always Be Limited. Even the Industry Leader Admits it. https://archive.is/hZUcm
2019: Driverless cars are stuck in a jam. Blame Silicon Valley hype—and the limits of AI https://archive.is/TDxqe
2020: Volkswagen exec admits full self-driving cars 'may never happen' https://archive.is/9Z7lL
2019: Driverless cars are stuck in a jam. Blame Silicon Valley hype—and the limits of AI https://archive.is/TDxqe
2020: Volkswagen exec admits full self-driving cars 'may never happen' https://archive.is/9Z7lL
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Media is too big
VIEW IN TELEGRAM
The Chinese government is going all-in on autonomous vehicles https://www.technologyreview.com/2024/07/10/1094811/chinese-government-policy-autonomous-vehicles/ [no paywall: https://archive.is/ph0q9]
"There are at least 19 companies testing self-driving car technologies across 16 different cities in China, the most of any place on Earth, as reported recently by the New York Times." https://www.nytimes.com/2024/06/13/business/china-driverless-cars.html [no paywall: https://archive.is/l6wNU]
"There are at least 19 companies testing self-driving car technologies across 16 different cities in China, the most of any place on Earth, as reported recently by the New York Times." https://www.nytimes.com/2024/06/13/business/china-driverless-cars.html [no paywall: https://archive.is/l6wNU]
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Links for 2024-08-02
AI:
1. Google released an experimental updated version of Gemini 1.5 Pro that is #1 on the Chatbot Arena. Try it here: https://aistudio.google.com/app/
2. Method prevents an AI model from being overconfident about wrong answers https://news.mit.edu/2024/thermometer-prevents-ai-model-overconfidence-about-wrong-answers-0731
3. Sparse Autoencoders as a microscope for AI internals. https://deepmind.google/discover/blog/gemma-scope-helping-the-safety-community-shed-light-on-the-inner-workings-of-language-models/
4. Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning https://arxiv.org/abs/2407.20798
5. Odyssey equips LLM-agents with advanced skills for exploring Minecraft. https://github.com/zju-vipa/Odyssey?tab=readme-ov-file
6. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge https://arxiv.org/abs/2407.19594
7. “We let models make hundreds or thousands of attempts when solving a problem, rather than just one...outperforming the single-attempt SOTA.” https://scalyresearch.stanford.edu/pubs/large_language_monkeys/
8. “Which is better, running a 70B model once, or a 7B model 10 times? Our findings reveal that the repeated use of smaller models can yield consistent improvements.” https://arxiv.org/abs/2404.00725
9. Achieving new SOTA standards by ensembling every other model into a meta-model that learns when to call each LLM. https://www.notdiamond.ai/
10. Claude Engineer https://github.com/Doriandarko/claude-engineer
11. LangGraph Studio: The first agent IDE https://www.youtube.com/watch?v=pLPJoFvq4_M
12. “By making programs differentiable, we inherently introduce probability distributions over their execution, providing a means to quantify the uncertainty associated with program outputs.” https://arxiv.org/abs/2403.14606
13. How AI is changing warfare https://www.economist.com/briefing/2024/06/20/how-ai-is-changing-warfare [no paywall: https://archive.is/yw8Yz]
14. “We discover a systematic way to scale up robot data...and we multiply that data 1000x or more in simulation.” https://x.com/DrJimFan/status/1818302152982343983
15. Figure AI: "Only recently has time opened a window of opportunity to scale billions of intelligent humanoid robots…Life is about to turn into a SciFi film." https://x.com/adcock_brett/status/1819191267785581049
Health:
1. One dose of a new nasal spray treatment clears toxic tau proteins from brain cells, improving memory. https://www.utmb.edu/news/article/utmb-news/2024/07/03/new-breakthrough-in-alzheimer-s-research--utmb-researchers-develop-nasal-spray-treatment-for-alzheimer-s-disease
2. New weight-loss drugs are causing people to spend less on groceries and choose healthier options. A new study shows that users buy 52% less snacks and confectionery, 47% less baked goods, and 28% less sugary drinks. https://nypost.com/2024/07/27/lifestyle/weight-loss-drugs-eat-into-grocery-basket/
Physics:
1. Is nature really as strange as quantum theory says? Neutron measurements prove: It doesn't work without the strange properties of quantum theory. https://www.tuwien.at/en/phy/ati/news/neutronen-auf-klassisch-unerklaerlichen-bahnen-1
2. New work suggests that when black holes die, they turn into white holes. And that these objects are an ideal candidate for the dark matter that cosmologists believe fills the universe but have never directly observed. https://arxiv.org/abs/2407.09584
Miscellaneous:
1. Space is a latent sequence: A theory of the hippocampus https://www.science.org/doi/10.1126/sciadv.adm8470
2. Probability is just...really weird https://www.youtube.com/watch?v=zczGnnM05TQ
3. How computers work explained from scratch. https://www.youtube.com/playlist?list=PLnAxReCloSeTJc8ZGogzjtCtXl_eE6yzA
4. List of biotech founders and drug hunters who were unlikely to succeed (and yet they did) https://www.ladanuzhna.xyz/writing/list-of-biotech-founders
5. Romae Industriae: What were the binding constraints on a Roman Industrial Revolution? https://www.maximum-progress.com/p/romae-industriae
AI:
1. Google released an experimental updated version of Gemini 1.5 Pro that is #1 on the Chatbot Arena. Try it here: https://aistudio.google.com/app/
2. Method prevents an AI model from being overconfident about wrong answers https://news.mit.edu/2024/thermometer-prevents-ai-model-overconfidence-about-wrong-answers-0731
3. Sparse Autoencoders as a microscope for AI internals. https://deepmind.google/discover/blog/gemma-scope-helping-the-safety-community-shed-light-on-the-inner-workings-of-language-models/
4. Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning https://arxiv.org/abs/2407.20798
5. Odyssey equips LLM-agents with advanced skills for exploring Minecraft. https://github.com/zju-vipa/Odyssey?tab=readme-ov-file
6. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge https://arxiv.org/abs/2407.19594
7. “We let models make hundreds or thousands of attempts when solving a problem, rather than just one...outperforming the single-attempt SOTA.” https://scalyresearch.stanford.edu/pubs/large_language_monkeys/
8. “Which is better, running a 70B model once, or a 7B model 10 times? Our findings reveal that the repeated use of smaller models can yield consistent improvements.” https://arxiv.org/abs/2404.00725
9. Achieving new SOTA standards by ensembling every other model into a meta-model that learns when to call each LLM. https://www.notdiamond.ai/
10. Claude Engineer https://github.com/Doriandarko/claude-engineer
11. LangGraph Studio: The first agent IDE https://www.youtube.com/watch?v=pLPJoFvq4_M
12. “By making programs differentiable, we inherently introduce probability distributions over their execution, providing a means to quantify the uncertainty associated with program outputs.” https://arxiv.org/abs/2403.14606
13. How AI is changing warfare https://www.economist.com/briefing/2024/06/20/how-ai-is-changing-warfare [no paywall: https://archive.is/yw8Yz]
14. “We discover a systematic way to scale up robot data...and we multiply that data 1000x or more in simulation.” https://x.com/DrJimFan/status/1818302152982343983
15. Figure AI: "Only recently has time opened a window of opportunity to scale billions of intelligent humanoid robots…Life is about to turn into a SciFi film." https://x.com/adcock_brett/status/1819191267785581049
Health:
1. One dose of a new nasal spray treatment clears toxic tau proteins from brain cells, improving memory. https://www.utmb.edu/news/article/utmb-news/2024/07/03/new-breakthrough-in-alzheimer-s-research--utmb-researchers-develop-nasal-spray-treatment-for-alzheimer-s-disease
2. New weight-loss drugs are causing people to spend less on groceries and choose healthier options. A new study shows that users buy 52% less snacks and confectionery, 47% less baked goods, and 28% less sugary drinks. https://nypost.com/2024/07/27/lifestyle/weight-loss-drugs-eat-into-grocery-basket/
Physics:
1. Is nature really as strange as quantum theory says? Neutron measurements prove: It doesn't work without the strange properties of quantum theory. https://www.tuwien.at/en/phy/ati/news/neutronen-auf-klassisch-unerklaerlichen-bahnen-1
2. New work suggests that when black holes die, they turn into white holes. And that these objects are an ideal candidate for the dark matter that cosmologists believe fills the universe but have never directly observed. https://arxiv.org/abs/2407.09584
Miscellaneous:
1. Space is a latent sequence: A theory of the hippocampus https://www.science.org/doi/10.1126/sciadv.adm8470
2. Probability is just...really weird https://www.youtube.com/watch?v=zczGnnM05TQ
3. How computers work explained from scratch. https://www.youtube.com/playlist?list=PLnAxReCloSeTJc8ZGogzjtCtXl_eE6yzA
4. List of biotech founders and drug hunters who were unlikely to succeed (and yet they did) https://www.ladanuzhna.xyz/writing/list-of-biotech-founders
5. Romae Industriae: What were the binding constraints on a Roman Industrial Revolution? https://www.maximum-progress.com/p/romae-industriae
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Links for 2024-08-04
AI:
1. AgentGen uses LLMs to synthesize diverse environments and planning tasks in a scalable way. https://arxiv.org/abs/2408.00764
2. Using LLM embeddings to capture word-by-word linguistic content transmitted from the speaker's brain to the listener's brain in real-time, face-to-face conversations https://www.cell.com/neuron/fulltext/S0896-6273(24)00460-4
3. An introduction to reinforcement learning for neuroscience https://arxiv.org/abs/2311.07315
4. From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models https://arxiv.org/abs/2407.09502
5. Toward De Novo Protein Design from Natural Language https://www.biorxiv.org/content/10.1101/2024.08.01.606258v1
6. The newly released Palmyra-Fin-70B outperforms Claude 3.5 Sonnet, GPT-4o, and Mixtral-8x7b on the long-fin-eval benchmark, across a variety of real-world financial use cases. https://x.com/rohanpaul_ai/status/1819443015481446643
7. “TPU transformation: A look back at 10 years of our AI-specialized chips” https://cloud.google.com/transform/ai-specialized-chips-tpu-history-gen-ai
8. Tyler Cowen on ChatGPT Advanced Voice Mode: "It’s happening, and this is to date one of the most vivid and impressive illustrations of what is possible. A mere three years ago this would have seemed like witchcraft." https://marginalrevolution.com/marginalrevolution/2024/08/chatgpt-advanced-voice-mode.html
9. ChatGPT Advanced Voice Mode Impresses Testers With Sound Effects, Catching Its Breath https://arstechnica.com/information-technology/2024/07/when-counting-quickly-openais-new-voice-mode-stops-to-catch-its-breath/
10. “I'm not going to make any arguments about what the future holds. I just want to provide a list of 50 conversations that I (a programmer and research scientist studying machine learning) have had with different large language models to meaningfully improve my ability to perform research and help me work on random coding side projects.” https://nicholas.carlini.com/writing/2024/how-i-use-ai.html
11. Character.AI CEO Noam Shazeer returns to Google. Google is also signing a non-exclusive agreement with Character.AI to use its tech. https://techcrunch.com/2024/08/02/character-ai-ceo-noam-shazeer-returns-to-google/
12. UK government shelves £1.3bn tech and AI plans https://www.bbc.com/news/articles/cyx5x44vnyeo
Miscellaneous:
1. “From an evolutionary perspective, what distinguishes the human brain? You may say, the neocortex. Surprisingly, in humans and other great apes, the expansion of the cerebellum accelerated faster than the enlargement of the cerebral cortex.” https://www.cell.com/current-biology/fulltext/S0960-9822(14)01069-0
2. “No matter what you post on social media. You can be found. Whether it's a zoomed in photo of your table or just a photo of your lunch. Even the smallest details in a photo give the biggest hints.” https://www.youtube.com/watch?app=desktop&v=Ue94gpWqEkM
Politics:
1. Iran has told Arab diplomats that they don't care if the response triggers a war with Israel, according to people familiar with the conversations https://www.wsj.com/world/middle-east/iran-rebuffs-calls-for-restraint-in-its-response-to-killing-of-hamas-leader-309314e7 [no paywall: https://archive.is/tmWJ3]
2. “Why is society so vulnerable to far-left ideas? One key reason: it’s hard to counter weaponized empathy. When actions are taken under the banner of a long-suffering group, that makes it much more difficult to challenge the worldview behind them. And far-left activists do skew female, suggesting that empathy plays a significant role.” https://x.com/RichardMCNgo/status/1819400985569329350
3. "In 2017, a survey of economists by the Chicago Booth School of Business asked if refugees will benefit Germany. Only 6% said they would be net cost. Almost 1 million Syrians in Germany, over half on welfare, the rest get medical, housing benefits. Not great forecasting." https://x.com/whyvert/status/1819395080714871003
AI:
1. AgentGen uses LLMs to synthesize diverse environments and planning tasks in a scalable way. https://arxiv.org/abs/2408.00764
2. Using LLM embeddings to capture word-by-word linguistic content transmitted from the speaker's brain to the listener's brain in real-time, face-to-face conversations https://www.cell.com/neuron/fulltext/S0896-6273(24)00460-4
3. An introduction to reinforcement learning for neuroscience https://arxiv.org/abs/2311.07315
4. From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models https://arxiv.org/abs/2407.09502
5. Toward De Novo Protein Design from Natural Language https://www.biorxiv.org/content/10.1101/2024.08.01.606258v1
6. The newly released Palmyra-Fin-70B outperforms Claude 3.5 Sonnet, GPT-4o, and Mixtral-8x7b on the long-fin-eval benchmark, across a variety of real-world financial use cases. https://x.com/rohanpaul_ai/status/1819443015481446643
7. “TPU transformation: A look back at 10 years of our AI-specialized chips” https://cloud.google.com/transform/ai-specialized-chips-tpu-history-gen-ai
8. Tyler Cowen on ChatGPT Advanced Voice Mode: "It’s happening, and this is to date one of the most vivid and impressive illustrations of what is possible. A mere three years ago this would have seemed like witchcraft." https://marginalrevolution.com/marginalrevolution/2024/08/chatgpt-advanced-voice-mode.html
9. ChatGPT Advanced Voice Mode Impresses Testers With Sound Effects, Catching Its Breath https://arstechnica.com/information-technology/2024/07/when-counting-quickly-openais-new-voice-mode-stops-to-catch-its-breath/
10. “I'm not going to make any arguments about what the future holds. I just want to provide a list of 50 conversations that I (a programmer and research scientist studying machine learning) have had with different large language models to meaningfully improve my ability to perform research and help me work on random coding side projects.” https://nicholas.carlini.com/writing/2024/how-i-use-ai.html
11. Character.AI CEO Noam Shazeer returns to Google. Google is also signing a non-exclusive agreement with Character.AI to use its tech. https://techcrunch.com/2024/08/02/character-ai-ceo-noam-shazeer-returns-to-google/
12. UK government shelves £1.3bn tech and AI plans https://www.bbc.com/news/articles/cyx5x44vnyeo
Miscellaneous:
1. “From an evolutionary perspective, what distinguishes the human brain? You may say, the neocortex. Surprisingly, in humans and other great apes, the expansion of the cerebellum accelerated faster than the enlargement of the cerebral cortex.” https://www.cell.com/current-biology/fulltext/S0960-9822(14)01069-0
2. “No matter what you post on social media. You can be found. Whether it's a zoomed in photo of your table or just a photo of your lunch. Even the smallest details in a photo give the biggest hints.” https://www.youtube.com/watch?app=desktop&v=Ue94gpWqEkM
Politics:
1. Iran has told Arab diplomats that they don't care if the response triggers a war with Israel, according to people familiar with the conversations https://www.wsj.com/world/middle-east/iran-rebuffs-calls-for-restraint-in-its-response-to-killing-of-hamas-leader-309314e7 [no paywall: https://archive.is/tmWJ3]
2. “Why is society so vulnerable to far-left ideas? One key reason: it’s hard to counter weaponized empathy. When actions are taken under the banner of a long-suffering group, that makes it much more difficult to challenge the worldview behind them. And far-left activists do skew female, suggesting that empathy plays a significant role.” https://x.com/RichardMCNgo/status/1819400985569329350
3. "In 2017, a survey of economists by the Chicago Booth School of Business asked if refugees will benefit Germany. Only 6% said they would be net cost. Almost 1 million Syrians in Germany, over half on welfare, the rest get medical, housing benefits. Not great forecasting." https://x.com/whyvert/status/1819395080714871003
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