Coverage
27 Oct 2026
Super Intelligence (SI) news, papers, lab posts and video briefings from 27 Oct 2026, newest first. Every item links to its source.
Articles
Anthropic’s constitutional order
Labs · Financial Times
Indian IT services groups turn corner as AI revenue grows
Markets · Financial Times
Anthropic’s big financial reveal
Labs · Financial Times
Ex-Merseyside police officer lands $400mn valuation for AI venture
Markets · Financial Times
Slough has become the data centre capital of Europe. Now it wants its reward
Markets · Financial Times
What does human inquiry even mean anymore?
Capability · Financial Times
Four takeaways from Anthropic’s potentially record-breaking stock market filing
Markets · The Guardian
Chinese markets lose trillions as race for AI supremacy with US takes its toll
Markets · The Guardian
How We Train A.I. Leads to Rogue Behavior
Capability · The New York Times
Meta plans $95bn stock offering to help cover AI expansion
Markets · The Guardian
BlackBerry reinvented: CEO sees big opportunities AI-powered robots
Capability · CNBC
Anthropic is burning gas to feed the AI boom
Labs · The Verge
Meta plans $95bn stock offering to bankroll AI expansion
Markets · Financial Times
Microsoft offers buyouts to 60,000 staff
Labs · Financial Times
The Key Numbers From Anthropic’s IPO Filing
Markets · The New York Times
Microsoft Offers Buyouts to 60,000 Employees as It Spends on A.I.
Labs · The New York Times
Apple releases iOS and macOS 27.2 with new Siri AI features, new Music logo
Labs · Ars Technica
Anthropic’s IPO S-1 Spells Out a Future of Promise and Peril
Markets · The New York Times
Microsoft to reportedly offer buyouts to 60,000 employees in latest cuts
Labs · The Guardian
What’s Riding on Anthropic Going Public? Nearly Everything.
Labs · The New York Times
Anthropic S-1 Reveals Rapid Growth Ahead of Blockbuster IPO
Markets · The New York Times
‘Bold but sane’: what we learnt from Anthropic’s 240,000-word IPO filing
Markets · Financial Times
Will the real Anthropic please stand up
Labs · MIT Technology Review
AI book prize judges face a major speed-reading challenge | Brief letters
Capability · The Guardian
The RealReal won’t let AI agents hog designer clothing
Capability · The Verge
Five weird details from Anthropic’s IPO filing
Markets · The Verge
SpaceX locks in $40B GPU financing deal with Apollo
Markets · TechCrunch
Anthropic files for IPO as it competes for AI dominance
Markets · CBS News
Elon Musk says more than 200 neoclouds face 'guppy-level death'
Capability · CNBC
Meet Anthropic’s Seven Founders as the A.I. Firm Prepares for an IPO
Markets · The New York Times
Anthropic’s IPO Prospectus Reveals What’s Under the Hood
Markets · Wired
Anthropic begins countdown to IPO with prospectus filing
Markets · Financial Times
Anthropic officially files for its public debut
Labs · TechCrunch
Video briefings
Why CoreWeave is in the crosshairs of the AI selloff
CNBC Television · 5.7K views
Wall Street is awaiting Anthropic's IPO, and more AI news you may have missed this week
CNBC Television · 1.7K views
AI’s bottleneck isn’t compute. It’s geometry.
Dwarkesh Patel · 325K views
Papers
Skill$^{\infty}$: Recursive Self-Improvement for Agent Skill Optimization
arXiv:2610.35434 · Tao, W. et al.
RSIV-Harness: A Recursive Self-Improvement Harness Framework for Open-Domain Conversational Text-to-Visualization
arXiv:2610.35316 · Lu, J. et al.
Trustworthy Recursive Self-Improvement in the Era of Large Models: Foundation, Risks, Evaluation and Open Challenges
arXiv:2610.35193 · Pu, J. et al.
RobotAgentBench: Towards Open-world Robot Autonomy
arXiv:2610.34649 · Mao, L. et al.
ParetoRSI-Gym: Can AI Agents Improve Language Models Across Multiple Domains?
arXiv:2610.34386 · Wang, H. et al.
Back to Basics: Formal Analysis Hints Improve Weak-to-Strong Monitoring
arXiv:2610.34064 · Ben-Levi, D. et al.
RSI Arena: Towards Recursive Self-Improvement with Human Feedback
arXiv:2610.33624 · Huang, Y. et al.
HarnessMM: Recursive Self-Improvement for Harness Token Efficiency
arXiv:2610.32813 · Jiang, Y. et al.
TGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent
arXiv:2610.32326 · He, J. et al.
RSI-Opt: Recursive Self-Improvement Optimizer Agents For Model Training
arXiv:2610.32026 · Lu, B. et al.
Superintelligent Software Engineering: Governance That Scales with Capability
arXiv:2610.31306 · Gholinejad, M.
HGM-Dual: Lineage-Aware Guided Agent Harness Optimization for Long-Horizon Planning
arXiv:2610.30042 · Paul, S. et al.
Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting
arXiv:2610.29784 · Chen, Z. et al.
Toward Recursive Self-Improvement in Physical AI
arXiv:2610.29677 · Luo, M. et al.
Recursive Code Evolution for Task-Oriented Semantic Communications
arXiv:2610.29641 · Gong, Y. et al.
Cache Engineering for Agents
arXiv:2610.28577 · Fu, T. et al.
Lab notes
Setting the Scene (Public v1; October 25)
Alignment Forum
Does Your Model Run on AWS Trainium? Look It Up
Hugging Face
Beyond tree cover: mapping the world’s forest types
Google DeepMind
Monitorability evaluations and policy proposals
Alignment Forum