Links for 2025-01-07
AI:
1. Language agents backed by open-source, non-frontier LLMs can match and exceed both frontier LLM agents and human experts on multiple scientific tasks at up to 100x lower inference cost. https://arxiv.org/abs/2412.21154
2. A LLM agent for multi-agent settings that generates hypotheses about other agents' latent states in natural language, adapting to diverse agents across collaborative, competitive, and mixed-motive domains https://arxiv.org/abs/2407.07086
3. Microsoft's Charles Lamanna: "By this time next year, you'll have a team of [AI] agents working for you" https://www.fastcompany.com/91254053/25-experts-predict-how-ai-will-change-business-and-life-in-2025
4. Google demonstrates scalability of AI agents, enabling complex workflow automation. https://www.kaggle.com/whitepaper-agents
5. "AI agents is likely to be a multi-trillion dollar opportunity"— Jensen Huang, Nvidia CEO https://www.youtube.com/live/k82RwXqZHY8?si=lVdJlwg51hKwIyU_&t=2638
6. Given sufficient context, LLMs can suddenly shift from their concept representations to 'in-context representations' that align with the task structure https://arxiv.org/abs/2501.00070
7. B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners https://arxiv.org/abs/2412.17256
8. Transformer takes 22 seconds of brain state vectors, and outputs the next 5 seconds of human neural activity with decent accuracy. https://www.arxiv.org/abs/2412.19814
9. Generating All-Atom Protein Structure from Sequence-Only Training Data https://amyxlu.github.io/plaid/
10. A metagenomic foundation model to help detect and prevent the next pandemic early https://metagene.ai/metagene-1-paper.pdf
11. Turn smartphones into pocket laboratories for farmers https://ai.meta.com/blog/inarix-agricultural-supply-chain-meta-dino-v2/
12. Self-driving tractors and trucks https://www.theverge.com/2025/1/6/24334357/john-deere-autonomous-tractor-truck-orchard-mow-ces
13. NVIDIA Cosmos: World Foundation Model Platform for Physical AI https://github.com/NVIDIA/Cosmos
14. Google: "we believe scaling on video and multimodal data is on the critical path to artificial general intelligence" https://techcrunch.com/2025/01/06/google-is-forming-a-new-team-to-build-ai-that-can-simulate-the-physical-world/
15. Test-time Computing: from System-1 Thinking to System-2 Thinking https://arxiv.org/abs/2501.02497
Health:
1. The mission to restore sight takes a big leap forward! 🚀 🌟 Large-scale RF mapping without visual input for neuroprostheses https://www.medrxiv.org/content/10.1101/2024.12.22.24319047v1.full
2. Transplanting young Hematopoietic Stem Cells into old mice rejuvenates their blood's epigenetic age and boosts physical performance https://www.nature.com/articles/s41422-024-01057-5
Tech:
1. Why China Is Building a Thorium Molten-Salt Reactor https://spectrum.ieee.org/chinas-thorium-molten-salt-reactor
2. Storing Thousands of Terabytes in a Single Gram of DNA https://www.nature.com/articles/s41586-024-08040-5
Math:
1. “I have two children, at least one of whom is a boy born on a day that I'll tell you in 5 minutes. What is the chance that both are boys, and what will the chance be after I tell you the day?” https://www.lesswrong.com/posts/7i4qTDCxf5QBYWqvg/practicing-bayesian-epistemology-with-two-boys-probability
2. How can it be feasible to find proofs? https://drive.google.com/file/d/1-FFa6nMVg18m1zPtoAQrFalwpx2YaGK4/view
Science:
1. Any living creature in our universe, natural or artificial, will inevitably view light's speed in empty space as extremely quick. https://profmattstrassler.com/2024/10/03/why-is-the-speed-of-light-so-fast-part-2/
2. “The penguins nodded off >10,000 times per day, engaging in bouts of bihemispheric and unihemispheric slow-wave sleep lasting on average only 4 seconds, but resulting in the accumulation of >11 hours of sleep for each hemisphere.” https://www.mpg.de/21169426/1127-orni-penguins-nesting-in-a-dangerous-environment-obtain-large-quantities-of-sleep-via-seconds-long-microsleeps-154562-x
AI:
1. Language agents backed by open-source, non-frontier LLMs can match and exceed both frontier LLM agents and human experts on multiple scientific tasks at up to 100x lower inference cost. https://arxiv.org/abs/2412.21154
2. A LLM agent for multi-agent settings that generates hypotheses about other agents' latent states in natural language, adapting to diverse agents across collaborative, competitive, and mixed-motive domains https://arxiv.org/abs/2407.07086
3. Microsoft's Charles Lamanna: "By this time next year, you'll have a team of [AI] agents working for you" https://www.fastcompany.com/91254053/25-experts-predict-how-ai-will-change-business-and-life-in-2025
4. Google demonstrates scalability of AI agents, enabling complex workflow automation. https://www.kaggle.com/whitepaper-agents
5. "AI agents is likely to be a multi-trillion dollar opportunity"— Jensen Huang, Nvidia CEO https://www.youtube.com/live/k82RwXqZHY8?si=lVdJlwg51hKwIyU_&t=2638
6. Given sufficient context, LLMs can suddenly shift from their concept representations to 'in-context representations' that align with the task structure https://arxiv.org/abs/2501.00070
7. B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners https://arxiv.org/abs/2412.17256
8. Transformer takes 22 seconds of brain state vectors, and outputs the next 5 seconds of human neural activity with decent accuracy. https://www.arxiv.org/abs/2412.19814
9. Generating All-Atom Protein Structure from Sequence-Only Training Data https://amyxlu.github.io/plaid/
10. A metagenomic foundation model to help detect and prevent the next pandemic early https://metagene.ai/metagene-1-paper.pdf
11. Turn smartphones into pocket laboratories for farmers https://ai.meta.com/blog/inarix-agricultural-supply-chain-meta-dino-v2/
12. Self-driving tractors and trucks https://www.theverge.com/2025/1/6/24334357/john-deere-autonomous-tractor-truck-orchard-mow-ces
13. NVIDIA Cosmos: World Foundation Model Platform for Physical AI https://github.com/NVIDIA/Cosmos
14. Google: "we believe scaling on video and multimodal data is on the critical path to artificial general intelligence" https://techcrunch.com/2025/01/06/google-is-forming-a-new-team-to-build-ai-that-can-simulate-the-physical-world/
15. Test-time Computing: from System-1 Thinking to System-2 Thinking https://arxiv.org/abs/2501.02497
Health:
1. The mission to restore sight takes a big leap forward! 🚀 🌟 Large-scale RF mapping without visual input for neuroprostheses https://www.medrxiv.org/content/10.1101/2024.12.22.24319047v1.full
2. Transplanting young Hematopoietic Stem Cells into old mice rejuvenates their blood's epigenetic age and boosts physical performance https://www.nature.com/articles/s41422-024-01057-5
Tech:
1. Why China Is Building a Thorium Molten-Salt Reactor https://spectrum.ieee.org/chinas-thorium-molten-salt-reactor
2. Storing Thousands of Terabytes in a Single Gram of DNA https://www.nature.com/articles/s41586-024-08040-5
Math:
1. “I have two children, at least one of whom is a boy born on a day that I'll tell you in 5 minutes. What is the chance that both are boys, and what will the chance be after I tell you the day?” https://www.lesswrong.com/posts/7i4qTDCxf5QBYWqvg/practicing-bayesian-epistemology-with-two-boys-probability
2. How can it be feasible to find proofs? https://drive.google.com/file/d/1-FFa6nMVg18m1zPtoAQrFalwpx2YaGK4/view
Science:
1. Any living creature in our universe, natural or artificial, will inevitably view light's speed in empty space as extremely quick. https://profmattstrassler.com/2024/10/03/why-is-the-speed-of-light-so-fast-part-2/
2. “The penguins nodded off >10,000 times per day, engaging in bouts of bihemispheric and unihemispheric slow-wave sleep lasting on average only 4 seconds, but resulting in the accumulation of >11 hours of sleep for each hemisphere.” https://www.mpg.de/21169426/1127-orni-penguins-nesting-in-a-dangerous-environment-obtain-large-quantities-of-sleep-via-seconds-long-microsleeps-154562-x