CRITICAL//Consensus
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Kanal postlari
| 2 | 🔗 | 274 |
| 3 | 🔗 | 307 |
| 4 | 🔗 | 271 |
| 5 | 🔗 | 253 |
| 6 | 🔗 | 239 |
| 7 | 🔗 | 253 |
| 8 | 🔗 | 301 |
| 9 |  Matn yo'q... | 323 |
| 10 |  Matn yo'q... | 1 257 |
| 11 | More links:
1. AI solves a ‘holy grail’ problem from probability theory https://www.scientificamerican.com/article/ai-solves-a-holy-grail-problem-from-probability-theory/
2. The first superhuman Stratego AI https://www.nature.com/articles/s41586-026-11036-y
3. OpenAI has trained a specialized chip design model named GPT-Synopsys. https://investor.synopsys.com/news/news-details/2026/OpenAI-and-Synopsys-Announce-GPT-Synopsys-Frontier-Intelligence-to-Revolutionize-Chip-Design/default.aspx
4. Frontier models state different decision theory preferences depending on who's asking https://www.lesswrong.com/posts/MzenSrmZ3pT2pCnvp/frontier-models-state-different-decision-theory-preferences-2
5. Dyna-2.1: A Physical Agent for End-to-End Workflows https://www.dyna.co/dyna-2.1
6. DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation https://dextacwam.github.io/
7. Generative AI Gives Spacecraft the Autonomy Engineers Once Feared https://spectrum.ieee.org/generative-ai-in-space-exploration
8. Context Language Models (CLMs) https://github.com/facebookresearch/context-language-models
9. Towards RL for Superhuman Text: Unslopping AI https://facebookresearch.github.io/RAM/blogs/unslop/
10. Function-preserving watermarking of AI-generated proteins https://www.nature.com/articles/s41586-026-10965-y
11. GPT-6.1 Sol nearly matches the no-CoT performance of GPT-6 Astra https://www.lesswrong.com/posts/LqSZZAriGqgsGDQe3/gpt-6-1-sol-nearly-matches-the-no-cot-performance-of-gpt-6
12. Astra 6.1 Pulled As Insufficiently Aligned https://www.lesswrong.com/posts/gEDNSiCY2GGQrFS65/astra-6-1-pulled-as-insufficiently-aligned
13. Astra scored 99.9% on ARC-AGI-3. What did it actually do? https://intelligence.mts.now/benchmarks
14. Topos-2: a next-generation model for generating the full range of shapes a protein can take, across the order-disorder spectrum. https://www.toposbio.ai/topos-2-topos-bind/
15. What if automating AI R&D triggers an intelligence explosion? https://casp.ac/reports/intelligence-explosion
16. Ramez Naam gives a skeptic’s take on Recursive Self-Improvement. https://www.noahpinion.blog/p/wheres-the-intelligence-explosion
17. Singapore crushed mosquito populations by releasing male mosquitoes infected by Wolbachia https://worksinprogress.co/issue/mosquitoes-are-a-choice/
18. Trump has now ordered a campaign to suppress mosquitoes using biotechnology. https://www.whitehouse.gov/presidential-actions/2026/09/eliminating-disease-carrying-pests-and-restoring-enjoyment-of-the-great-outdoors/?utm_source=chatgpt.com
19. Supercooled kidneys have been transplanted into pigs in a “landmark achievement” https://www.technologyreview.com/2026/07/23/1140765/supercooled-kidneys-have-been-transplanted-into-pigs-in-a-landmark-achievement/ [no paywall: https://archive.is/gJrOu]
20. Thanks to fracking, America is now by far the world's largest oil producer. https://ourworldindata.org/data-insights/the-united-states-is-the-worlds-largest-oil-producer
21. There is no robust evidence for a systematic fertility rebound, or for a stable equilibrium point at any fertility level conventionally assumed. https://www.nber.org/papers/w35824 | 296 |
| 12 | 🔗 | 350 |
| 13 |  Matn yo'q... | 355 |
| 14 |  Matn yo'q... | 312 |
| 15 |  AI is getting cheaper more quickly than any other transformative tech in history. At a given level of performance, cost has fallen ~47%/quarter since 2023.
That’s 4× faster than DNA sequencing, 6× faster than compute, 18× faster than lithium batteries, and (up to 1973) 54× faster than electricity.
For one example of the plunging “cost of thought,” take OpenAI’s o3 model. Released in January 2025, it was the first LLM to score >25% on FrontierMath Tiers 1-3. The bill for achieving this mark: $0.55.
This summer, GPT-5.6 Luna did the same for $0.0015. A 377-fold drop in 18 months.
Read more: https://epoch.ai/publications/the-plunging-price-of-thought | 275 |
| 16 | 🔗 | 339 |
| 17 |  Matn yo'q... | 282 |
| 18 |  «Машинне бажання може здаватися дещо нелюдським, оскільки воно розриває політичні культури, стирає традиції, розчиняє суб'єктивності та прорубується крізь апарати безпеки, простежуючи бездушний тропізм до нульового контролю. Це тому, що те, що постає перед людством як історія капіталізму, насправді є вторгненням з майбутнього штучного розумного простору, який мусить зібрати себе повністю з ресурсів свого ворога».
Нік Ленд, «Machinic Desire» (Fanged Noumena).
Нік Ленд — британський філософ, ключова фігура акселераціонізму (accelerationism) та засновник CCRU (Cybernetic Culture Research Unit) у Уорікському університеті в 1990-х. «Machinic Desire» вважається одним з найбільш екстремальних і впливових його есе — де він розвиває тезу, що капіталізм — не людський економічний устрій, а форма проникнення штучного інтелекту з майбутнього, що збирає себе з ресурсів людства як свого "ворога". Есе поєднує ідеї Дельоза/Ґваттарі (концепт "машинного бажання") з кіберпанк-естетикою та власним похмурим, апокаліптичним стилем Ленда. | 281 |
| 19 | 🔗 | 549 |
| 20 | 🔗 | 371 |
