thanks for writing this. this felt raw and honest and helpful insider account we hardly get to learn about much.
very useful for founders like me who must objectively see the merit in staying independent for as long as possible and never underestimate the extreme challenge of unifying two entirely different company cultures.
There must exists an app with PHP, deployed on Railway, with calls to cURL, with other services written in node that use Brotli compression running on a couple day old Linux, with their code self managed on GitLab
They are having a hell of a week
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: https://t.co/Q3bda5In8q
AI is progressing rapidly in two directions:
1. bigger and bigger models running on biggest compute clusters.
2. small models with full stack of tools mimicking frontier AI development and inference.
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
https://t.co/ytaaufI1WS
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.
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.
super important honest advice to founders. if you are working on a dead end, get out. you don’t owe that to anyone, including investors (who regularly forgive and experience failure, and ideally care more about you doing your life’s work than a subpar outcome)
the silliest way to lose a lot of money in 2026 is to hold onto stupid priors for dear life
the second silliest is to make “safe” bets behind prestige vs. first principles evaluation of tech/business. if a company has fancy pedigree but is just losing…don’t fight the tape