CRITICAL//Consensus

Links for 2026-05-25 AI 1. “Self-Evolving in the Wild：Over the course of ~35 hours of continuous autonomous execution, the model performed 432 kernel evaluations across 1,158 tool calls. It wrote, compiled, profiled, and iteratively improved the Extend Attention Kernel entirely on its own — 10.0x geometric mean speedup over the Triton reference, measured across multiple workloads.” https://qwen.ai/blog?id=qwen3.7 2. OpenClaw creator burned through $1.3 million in OpenAI API tokens in a single month — bill covered 603 billion tokens across 7.6 million requests and 100 coding agents https://www.tomshardware.com/tech-industry/artificial-intelligence/openclaw-creator-burns-through-1-3-million-in-openai-api-tokens-in-a-single-month 3. MagenticLite: A full-stack agentic experience powered by Small Models https://www.youtube.com/watch?v=wKMQ3CZig_8 4. Notes on Collaborating with Claude Opus https://www.lesswrong.com/posts/5abm94pmRn8pXiHtw/notes-on-collaborating-with-claude-opus 5. Will we really put data centers in space? https://www.lesswrong.com/posts/65ECgHzWxTRvt8XWK/will-we-really-put-data-centers-in-space 6. Out-of-Context Reasoning (OOCR) in LLMs: A Short Primer and Reading List https://www.lesswrong.com/posts/wXioQSLmEiPTmHyf4/out-of-context-reasoning-oocr-in-llms-a-short-primer-and 7. The Internet can’t stop watching Figure AI’s humanoid robots handling packages https://arstechnica.com/ai/2026/05/the-internet-cant-stop-watching-figure-ais-humanoid-robots-handling-packages/ 8. Hallucinations Undermine Trust; Metacognition is a Way Forward https://arxiv.org/abs/2605.01428v1 9. Military capability depends increasingly on data centres. Now governments outpaced in AI are looking to experimental technologies https://www.ft.com/content/5aecd7b6-652f-4edb-b666-71f3f50fc43e?syn-25a6b1a6=1 [no paywall: https://archive.is/fAQrr] Math & Computer Science 1. Terence Tao demonstrates how he uses the terminal-based AI assistant Claude Code to help review, “golf” (shorten/optimize), and stylistically align interactive theorem-proving code in Lean 4. https://youtu.be/l3SCK6V-BFw 2. Chip design from the bottom up: Working up from basic logic gates to why GPUs, TPUs, FPGAs, and the human brain each look the way they do. https://www.dwarkesh.com/p/reiner-pope-2 3. Two Researchers Are Rebuilding Mathematics From the Ground Up https://www.quantamagazine.org/two-researchers-are-rebuilding-mathematics-from-the-ground-up-20260520/ Neuro(tech) 1. how far are we from human brain simulation and what will it mean for science? https://alleninstitute.org/news/how-far-are-we-from-a-human-brain-simulation-and-what-does-that-mean-for-science 2. GLOBE—a new technology for brain-wide, single-cell recording of cellular activity in vivo. GLOBE can continuously record from nearly a quarter million individual neurons simultaneously across a mouse brain. https://www.biorxiv.org/content/10.64898/2026.05.21.726120v1 3. The rules that turn inputs into a functional arrangement for neurons that process vision. https://news.mit.edu/2026/rules-neurons-follow-to-make-sense-of-what-we-see-0521 Science and Technology 1. New Holographic 3D Printing Method Is 70x More Efficient https://actu.epfl.ch/news/3d-printing-tissue-like-structures-with-light/ 2. Large pieces of the human genome can transfer between cells upon direct contact, endowing recipient cells with heritable phenotypic changes. https://www.cell.com/cell/fulltext/S0092-8674(26)00508-8 3. New Quantum Processing Technology Points to Life After the Transistor, Maybe https://gizmodo.com/new-quantum-processing-technology-points-to-life-after-the-transistor-maybe-2000759222 4. HUAWEI Presents the Tau (τ) Scaling Law, Enabling Breakthroughs in Transistor Density and System Performance https://www.huawei.com/en/news/2026/5/ieee-iscas-tau-scaling 5. Using CRISPR/Cas9, scientists have been able to create a gene drive that, in a lab setting, has proven to be able to drive a species to extinction. https://www.nature.com/articles/nbt.4245

Cyberpunk 2077 Fans Will Appreciate: A guy shared his jacket with screens from the video game on Reddit A cosplayer dreamed for several years of making a jacket of an NUSA infiltration agent. To achieve this, he needed to insert flexible OLED screens into the collar and learn how to display images on them. EDGE. Subscribe.

Links for 2026-04-30 AI 1. Thinking Without Words — latent reasoning ≈ verbal CoT at far lower inference cost. https://arxiv.org/abs/2604.22709 2. Latent Agents: post-training for internalized multi-agent debate. https://arxiv.org/abs/2604.24881 3. Recurrent Transformer: greater depth, efficient decoding. https://arxiv.org/abs/2604.21215 4. Predictive strategies emerge in real + artificial agents from shared task structure. https://www.biorxiv.org/content/10.64898/2026.04.23.720457v1 5. Conductor: train an AI manager to delegate to diverse AIs. https://arxiv.org/abs/2512.04388 6. Stanford/Arc genome LMs generated complete ΦX174-like phages; ~300 tested, 16 viable; Evo-Φ36 used a distant packaging protein where simple swaps failed. https://www.biorxiv.org/content/10.1101/2025.09.12.675911v1 7. Reiner Pope: math behind LLM training/serving. https://www.dwarkesh.com/p/reiner-pope 8. The paper that killed deep learning theory. https://www.lesswrong.com/posts/ZvQfcLbcNHYqmvWyo/the-paper-that-killed-deep-learning-theory 9. The other paper that killed deep learning theory. https://www.lesswrong.com/posts/zcGmdQHX66NhC69v6/the-other-paper-that-killed-deep-learning-theory 10. Why SGD stops just short of the edge. https://akyrillidis.github.io/aiowls/stochastic_self_stabilization.html 11. Recursive forecasting from myopic fitness-seekers. https://www.lesswrong.com/posts/q2zYtNsh62SCphitt/recursive-forecasting-eliciting-long-term-forecasts-from 12. AISI GPT-5.5 cyber eval: among strongest tested; second to solve multi-step cyber-attack sim end-to-end. https://www.aisi.gov.uk/blog/our-evaluation-of-openais-gpt-5-5-cyber-capabilities 13. Mayo Clinic AI detects pancreatic cancer up to 3 years early. https://newsnetwork.mayoclinic.org/discussion/mayo-clinic-ai-detects-pancreatic-cancer-up-to-3-years-before-diagnosis-in-landmark-validation-study/ AI politics 1. NYT: Mythos reactions show frontier AI launches acting like weapons tests; Russian pro-Kremlin outlet: “worse than a nuclear bomb.” https://www.nytimes.com/2026/04/22/technology/anthropics-mythos-ai.html [no paywall: https://archive.is/Ex7ZI] 2. WSJ: White House opposes wider Mythos access over security + limited government availability. https://www.wsj.com/tech/ai/white-house-opposes-anthropics-plan-to-expand-access-to-mythos-model-dc281ab5 [no paywall: https://archive.is/zonHZ] 3. China orders Meta to unwind $2B Manus AI-startup deal. https://www.reuters.com/world/asia-pacific/china-blocks-foreign-acquisition-ai-startup-manus-2026-04-27/ 4. Anthropic weighs funding at $900B+ valuation. https://www.bloomberg.com/news/articles/2026-04-29/anthropic-considering-funding-offers-at-over-900-billion-value 5. Pentagon uses GenAI.mil to create 100K agents. https://defensescoop.com/2026/04/23/pentagon-uses-genai-mil-to-create-agents/ Computer Science 1. Dijkstra invented shortest path in 20 minutes over coffee. https://cacm.acm.org/news/an-interview-with-edsger-w-dijkstra/ 2. Leibniz on symbolic computation and the “combinatorial machine.” https://www.leibnizpapers.org/combinatorial-machine.htm Science and Technology 1. Swedish 1.2M-person study: intelligence positively associated with prosociality. https://academic.oup.com/ej/article/135/668/1141/7914156 2. Longevity hype vs real promise of cell rejuvenation. https://www.nytimes.com/2026/04/27/magazine/cell-rejuventation-biotech-longevity-research-altos-labs.html [no paywall: https://archive.is/pVtms] 3. Prediction-market accuracy: informed minority, not crowd wisdom. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6617059 4. ML supports unrecognized transient astronomical phenomena in historical observatory images. https://arxiv.org/abs/2604.18799 5. SpaceX Musk pkg: 200M super-voting shares for $7.5T valuation + 1M-person Mars colony; second award up to 60.4M shares for space datacentres with 100 TW compute. https://www.reuters.com/sustainability/boards-policy-regulation/spacex-ties-musk-compensation-mars-colonization-goal-2026-04-28/

Boston Dynamics

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Links for 2026-04-14 AI 1. The policy surrounding Mythos marks an irreversible power shift https://www.lesswrong.com/posts/3MhJELzwpbR42xsJ3/the-policy-surrounding-mythos-marks-an-irreversible-power 2. Before he wrote AI 2027, he predicted the world in 2026. How did he do? https://asteriskmag.substack.com/p/before-he-wrote-ai-2027-he-predicted 3. Does an imperfect verifier break reinforcement learning with verifiable rewards (RLVR)? Turns out it doesn’t!”https://arxiv.org/abs/2604.07666 4. Evidence on white-collar work displacement is beginning to match the theory. https://www.ft.com/content/b69f8599-eaf1-477a-a5a8-60a715e56a04?syn-25a6b1a6=1 [No paywall: https://archive.is/R99j2] 5. LLM-as-a-Verifier: A General-Purpose Verification Framework https://llm-as-a-verifier.notion.site/ 6. Can small quantum computers accelerate AI on massive classical data? Yes! https://arxiv.org/abs/2604.07639 7. QED-Nano: Teaching a Tiny Model to Prove Hard Theorems https://arxiv.org/abs/2604.04898v1 8. WRAP++: Web discoveRy Amplified Pretraining https://arxiv.org/abs/2604.06829 9. Scaling Coding Agents via Atomic Skills https://arxiv.org/abs/2604.05013 10. The Art of Building Verifiers for Computer Use Agents https://arxiv.org/abs/2604.06240 11. Squeeze Evolve: A Unified Framework for Verifier-Free Evolution https://squeeze-evolve.github.io/#blog-squeeze-evolve 12. Memento: Teaching LLMs to Manage Their Own Context https://microsoft.github.io/memento/blogpost/ 13. Neural Computers: Unlike conventional computers, which execute explicit programs, agents, which act over external execution environments, and world models, which learn environment dynamics, NCs aim to make the model itself the running computer. https://arxiv.org/abs/2604.06425 14. Efficient RL Training for LLMs with Experience Replay https://arxiv.org/abs/2604.08706 15. A new agentic application that makes lab-in-the-loop drug discovery accessible to every researcher https://aws.amazon.com/de/blogs/industries/introducing-amazon-bio-discovery/ 16. Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning https://deepmind.google/blog/gemini-robotics-er-1-6/ 17. Intel, Google Deepen Collaboration to Advance AI Infrastructure https://newsroom.intel.com/data-center/intel-google-deepen-collaboration-to-advance-ai-infrastructure 18. OpenAI’s Chief Scientist on Continual Learning Hype, RL Beyond Code, & Future Alignment Directions https://www.youtube.com/watch?v=vK1qEF3a3WM 19. Elorian is building the foundation of visual reasoning https://www.youtube.com/watch?v=YlvfNpOMeOY 20. Slightly-Super Persuasion Will Do https://www.lesswrong.com/posts/JcavsPku6RR9hcujz/slightly-super-persuasion-will-do 21. Amazon CEO Jassy defends $200 billion AI spend: “We’re not going to be conservative” https://www.cnbc.com/2026/04/09/amazon-ceo-andy-jassy-ai-spending.html Anthropic 1. “If Mythos actually made Anthropic employees 4x more productive, I would radically shorten my timelines” https://www.lesswrong.com/posts/Jga7PHMzfZf4fbdyo/if-mythos-actually-made-anthropic-employees-4x-more 2. Claude Mythos #3: Capabilities and Additions https://www.lesswrong.com/posts/2ziYGFK7QmbbLgBoP/claude-mythos-3-capabilities-and-additions 3. Claude Mythos: China Reacts https://www.chinatalk.media/p/chinese-reactions-to-claude-mythos 4. Anthropic repeatedly accidentally trained against the CoT https://www.lesswrong.com/posts/K8FxfK9GmJfiAhgcT/anthropic-repeatedly-accidentally-trained-against-the-cot Technology 1. An interactive visualization of technological history from 3 million years ago to today. https://www.historicaltechtree.com/ 2. Chip Can Project Video the Size of a Grain of Sand — MEMS array to steer lasers for quantum computer finds other uses https://spectrum.ieee.org/mems-photonics 3. Scientists Grow Electronics Inside the Brains of Living Mice https://singularityhub.com/2026/04/13/scientists-grow-electronics-inside-the-brains-of-living-mice/