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🚨Ethereum Developers: you can now install your first AI Auditor in 1 minute - fully autonomous, available 24/7, with multiple sub-agent helpers. Open Source. FREE to use (with your AI model) and already finding vulnerabilities in smart contracts. Link below🫡

so weird what I can build with GPT 5.4 while the world around me remains the same

The robot is navigating the world previously mapped and reconstructed by phones.

I used to orchestrate simple teams of agents like: - Backend, - Frontend, - Security / Tester This morning I manage more specific profiles: - Robotic Integration Engineer - Scenario and Evidence Reviewer - Telemetry and Debugging Reviewer - Safety and Constraints Reviewer

hmmm yeah

He that withholdeth corn, the people shall curse him: but blessing shall be upon the head of him that selleth it.

1/ DeFi liquidity is still built on deposits: lock assets into pools, let contracts coordinate access. But pooled liquidity creates honeypots + capital inefficiency. A new primitive is emerging: wallet-permissioned liquidity. Gleb

Research on Wallet-Permissioned Liquidity: your funds are used for swaps when required, but you keep their ownership at all time.

140 million people use ChatGPT to help them understand math and science concepts every week.

autosearch is iteratively improving a text model, next phase is improving physical models

There is a huge gap about the use of Ai, do not get trapped into a gigatech silo: only codex / only claude / only google learn to build a station for multi models.

I recommend going into a Fablab (a place with machines), yesterday went there, average age 55, only men. All talking about how they are going to use AI to build this connected birdhouse. I did not know about their software, Fusion 360, I got it downloaded. Then asked Codex to

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people

Currently on a gig job in a t-shirt graphics manufacturing company. Coming from software and sitting behind desk I was completely blind to what people do on a production chain. These small burdens that compound everyday, these people have of course no clue about codex neither

Notebook is a lung to breath intelligence. We know typing is less efficient in a normal course even at best schools, good air, bad breathing. Now with AI, we all have good air, yet few will absorb its components well. Just write.

The more time I spend on manufacturing the more I realize how many roles are really useless, people in offices mostly. Websites will be closely connected to production lines, you order, it is created. Production manager is an interesting role, repetitive tasks will be for

Surgeons's demand will surge when this new device go for the masses, happily Optimus will meet that. Same as neuralink becoming SpaceX's first and biggest customer. 1. Optimus drives demand for Ai servers in space 2. Humans drives demand for better interfaces than phones 3.