Revolut CEO Nik Storonsky: “The US is not that competitive. Europe is even less competitive.” “China is competitive.” “China is 9/9/6. Even if you are good in Europe, or in the US, how can you out-compete the people who work 9:00 to 9:00, six days a week?” “I started in a co-working space with 140 companies. Within 5 years, only 3 companies survived. They all worked on the weekends.” “Within 10 years, only 2 companies survived out of 140.” “Working weekends is a must if you want to survive. Purely statistically.”

Since developers aren’t coding anymore, their new job is to rotate secrets every single fucking day

SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios. The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios. Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said. Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior. Read my latest for Axios here: axios.com/2026/10/22/ai-agen…

Introducing MLX-LM-LoRA v5.9.0 This brings LLM training to your AI agent through MCP. Describe what you want in plain language. Your agent can validate the training config, launch a fine-tune on Apple Silicon, monitor progress, inspect logs, and stop the run. The goal: make improving an LLM something you can ask for in a conversation.........or automate. This is a first step toward automating the improvement loop aka RSI for everyone: evaluate → train → evaluate → iterate. How to use it: python3 -m pip install -U "mlx-lm-lora[mcp]" Codex: codex mcp add mlx-lm-lora -- /full/path/to/mlx-lm-lora-mcp Claude-Code: claude mcp add --transport stdio --scope user mlx-lm-lora -- /full/path/to/mlx-lm-lora-mcp Install the skill: npx skills add Goekdeniz-Guelmez/mlx-lm-lora --skill mlx-lm-lora -a codex -a claude-code -g github.com/Goekdeniz-Guelmez…

1. New rule: If you post "distribution is the new moat," you have to explain what the old moat was. Hint: it was also distribution. Coca-Cola figured this out before your great-grandparents were born.

💥 Introducing Warp Sciences, a new company applying AI and robotics to help the world develop new medicines faster. We’ve raised a $215M Series A led by @lightspeedvp to bring frontier AI out of the browser and into the lab, and build scientific capacity here in America. I co-founded Warp with my long-time friend @dpatil, FAIR co-founder @manohar_paluri, and drug hunter Sol Reisberg. The early team is full of incredible people like @bkspears9, who helped achieve Q>1 fusion at LLNL.

A large model Q2 is stronger than a small model Q8.

We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.