"Deus Ex Machina: What happens when artificial intelligence awakens?" – I will give a talk at the 1E9 Festival of the Future in Munich (July 2-5)! https://1e9.community/festival
(Discount on tickets with: 1E9xSPEAKERFRIENDS)
RESEARCH
-
Conference on AI awakening at the 1E9 Festival in Munich
By
–
-
Conference on AI Awakening at 1E9 Festival of the Future
By
–
"Deus Ex Machina: What happens when artificial intelligence awakens?" – I will give a talk at the 1E9 Festival of the Future in Munich (July 2-5)! https://1e9.community/festival
(Discount on tickets with: 1E9xSPEAKERFRIENDS) -
Orbit: RL-train trillion-parameter LLMs on just 8 GPUs
By
–
What if you could RL-train trillion-parameter LLMs on just 8 GPUs? Enter Orbit, an open-source framework that keeps the base model fixed and trains only a tiny BF16 adapter. It outperforms standard sync RL: 71% faster step times, 50% higher rollout throughput, 81% less train
-
Links to resources on loop engineering and AI agents
By
–
Links: Addy Osmani: Loop Engineering https://
addyosmani.com/blog/loop-engi
neering/
… Anthropic: Building Effective Agents https://
anthropic.com/engineering/bu
ilding-effective-agents
… Anthropic: When AI Builds Itself https://
anthropic.com/institute/recu
rsive-self-improvement
… Measuring Agents in Production (arXiv 2512.04123) https://
arxiv.org/abs/2512.04123 Effective Strategies -
AI’s coding vs biology: bio databases designed for different traffic
By
–
New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use?
-
AI agents transition from pilots to core operations in sales, research, security
By
–
AI agents move from pilots to core operations across sales, research and security. Margins and skills pressure push teams to automate decisions, while keeping control tight. Source @Gartner_inc Link https://
gtnr.it/3KasVBM via @antgrasso -
Recursive self-improvement imminent until Anthropic IPO
By
–
Recursive self-improvement is imminent until Anthropic IPOs.
-
Local Models: 71.3% Accuracy, Reduced Cost (Stanford)
By
–
Narrative violation: according to a study by @Stanford, local models can accurately answer 71.3% of real-world chat and reasoning queries, compared to 23.2% in 2023. Obviously, at a fraction of the cost and energy consumption of cutting-edge APIs.
-
Apple Intelligence built on Apple Foundation and Gemini models
By
–
WWDC 🔥: New Apple Intelligence is built on top of Apple Foundation and Gemini models!
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 juin 2026
Let's see what's inside 👀 https://t.co/X7sKyiOfMP pic.twitter.com/mncZxVQFGQWWDC : New Apple Intelligence is built on top of Apple Foundation and Gemini models! Let's see what's inside