Coverage
7 Oct 2026
Super Intelligence (SI) news, papers, lab posts and video briefings from 7 Oct 2026. Every item links to its source.
Articles
OpenAI safety leader quits, warning AI company's culture is 'broken'
Safety · theguardian.com
AI Is Now Si: Super Intelligence Isn't Superior
Capability · tej.as
Administration unveils new Super Intelligence Force
Capability · techcrunch.com
AI doesn't need 'superintelligence' or evil intent to start a nuclear war
Capability · thebulletin.org
Slovenia's .si domain sees surge in registrations after 'super intelligence'
Capability · techcrunch.com
Destroying all of humanity is hard work, even for a superintelligence
Capability · nibblestew.blogspot.com
Claude Ultracode is super intelligence
Labs · twitter.com
What I learnt co-leading an AI Safety bootcamp for legal and governance practit
Safety · lesswrong.com
Please Wait, Super Intelligence Is Loading
Capability · magzimof.com
Claude Isn't Allowed to Write Me Prose
Labs · blog.kvit.app
AI safety is mostly a sex cult in Berkeley, CA [pdf]
Safety · ams3.digitaloceanspaces.com
Mistral Large 4 Preview: Intelligence, Performance and Price Analysis
Labs · artificialanalysis.ai
Toketer - See what every AI prompt costs you, live in your editor
Capability · marketplace.visualstudio.com
Trump renaming AI to SI is making his wife's home country a little richer
Policy · neowin.net
Show HN: KORA Doctor - find LLM calls your agent may not have needed
Capability · github.com
Research;Open Sourcing Health Research with AI - Accelerating Evidence Synthesis
Capability · zenodo.org
Guide to Using Generative AI in Programming - Textbook by Antti Laaksonen
Capability · link.springer.com
Local AI is real now. And it's blowing my mind
Capability · hive.technology
AI Backers Sound the Alarm About Safety
Safety · bloomberg.com
JobFetch - free remote AI job board, pay shown up front
Capability · jobfetch.work
How to keep learning in the age of LLMs
Capability · ogzhanolguncu.com
Crunchbase Data Shows AI's Most Active Startups Are Becoming Serial Acquirers
Markets · news.crunchbase.com
AI-powered time tracking for freelancers and agencies
Capability · tracktimer.app
Claude subscription plan provides more value than OpenAI's, study says
Labs · theregister.com
Against "solving alignment" as the major frame for AI safety and security
Safety · joshuasaxe181906.substack.com
SoftBank's Masayoshi Son has rare cautionary note on AI safety
Safety · japantimes.co.jp
Can AI self-improvement overcome diminishing returns?
Capability · rameznaam.com
The AI Safety community is unfortunately doing more harm than good
Safety · twitter.com
How to apply to AI safety fellowships (and beyond)
Safety · lesswrong.com
Video briefings
Meet the New Codex CLI
OpenAI · 176K views
Introducing the Decisions API
OpenAI · 117K views
Introducing dots, always-on agents built to handle everything.
OpenAI · 680K views
OpenAI DevDay 2026 Keynote (FULL)
OpenAI · 655K views
The dots demo, take two | OpenAI DevDay 2026
OpenAI · 493K views
Billions Pour Into OpenAI, DeepSeek Ahead of IPOs
Bloomberg Tech · 12.2K views
Opus 5.5: How Close Are We to Automated AI Research?
AI Explained · 296K views
OpenAI Security: Controlling Models is Now ‘Hell’
AI Explained · 245K views
What AI Researchers Saw, Before Their Demand to ‘Pace’ AI
AI Explained · 232K views
Bender: AI’s ‘Existential’ Risk Is ‘Fake’
Bloomberg Tech · 7K views
Building a custom website to stay on top of business with ChatGPT
OpenAI · 6.8K views
OpenAI, Anthropic Lead Consumer AI Spending: A16z
Bloomberg Tech · 5.5K views
Anthropic, OpenAI Can Both Win AI Race: T. Rowe Price
Bloomberg Tech · 3.4K views
Meet the all new Codex Cloud
OpenAI · 97.9K views
Papers
RIWANav: Recursive World-Action Models with Self-Improvement for Urban Navigation
arXiv:2610.08640 · Xie, J. et al.
Towards In-Parameter Memory Augmentation for Large Language Models
arXiv:2610.08630 · Huang, H. et al.
EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation
arXiv:2610.07969 · Qin, Y. et al.
SPECTRUM: Proximal Spectral Modulation for Looped Self-Distillation
arXiv:2610.07237 · Long, Y. et al.
Beyond Successor Accuracy: State Retention for Recursive Self-Improvement in Recommendation
arXiv:2610.07105 · Xu, J. et al.
Second-Order Problem Solving for Recursive Self-Improvement in Formal Verification
arXiv:2610.05701 · Jiang, Y. et al.
Recursive Self-Improvement of Visuomotor Policies through Local Recovery Supervision
arXiv:2610.05151 · Zhang, Y. et al.
Assembling Insights for Agentic Machine Learning Engineering Systems
arXiv:2610.04927 · Jin, B. et al.
The Numerical Linear Algebra of Large Language Models
arXiv:2610.04631 · Baggag, A. et al.
What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle
arXiv:2610.04303 · Wang, P. et al.
From Valid to Useful: Post-Verification Acquisition for Recursive Self-Improving Recommendation
arXiv:2610.04302 · Hasan, T. et al.
EvalResearchBench: Can AI Agents Design Their Own Evaluations?
arXiv:2610.04184 · Zhang, Y. et al.
Lab notes
What AI gets wrong and what failure teaches us
Microsoft Research