Rohan Paul (@rohanpaul_ai)

OpenAI just published a great resource for Codex, A use-case gallery of practical examples. <a target="_blank" href="https://twitter.com/romainhuet/status/2037604733847003367" color="blue">x.com/romainhuet/sta…</a>...

Over 300 humanoid robots from 26 brands will compete in Beijing's E-Town Half Marathon on April 19, for a full 21 kilometer run. Here we have a humanoid robot completing a nighttime practice run on Beijing E-Town's urban roads. ...

Sam Altman told you so: "We're going to see 10 person billion-dollar companies pretty soon. In my little group chat with CEO-friends, there's this One-person billion-dollar company, which would have been unimaginable without AI, and now it'll happen." <a target="_blank" href="https://twitter.com/...

ARK Invest just released 2026 big ideas: The great acceleration and AI. Global markets are entering an unprecedented phase of technology funding. - Data center systems investment could reach ~$1.4T by 2030 as inference costs collapse >99% and API demand surges. - Nvidia leads large model throughp...

Dexterous robotic hands is still one of the hardest problems in robotics. These hands are some great work of engineering from Yuequan Bionic Technology. They hold some 300 patents in the field of bionic robots. ...

💊 New study finds that clinical LLMs can ace medical exams yet still perform weakly on realistic clinical tasks and safety. models scored 84%-90% on knowledge exams but only 45%-69% on practice tasks and 40%-50% on safety assessments. The authors analyze 39 benchmarks with about 2.3 million questi...

The paper sets a 6-level scale for data agents and explains the path to autonomy. It uses L0 to L5 to show who is responsible, the human or the agent. The term data agent is fuzzy, which confuses ability, risk, and accountability. A data agent is an LLM system that uses data and tools for manage...

Absolutely classic @GoogleResearch paper on In-Context-Learning by LLMs. Shows the mechanisms of how LLMs learn in context from examples in the prompt, can pick up new patterns while answering, yet their stored weights never change. 💡The mechanism they reveal for in-context-learning. When the ...

LLM for financial trading/decision making. A 4B model financial-domain model, Trading-R1, that writes clear analyst theses and turns them into trades. Its trained on 100K cases over 18 months across 14 tickers, and its backtests show better risk-adjusted returns with smaller drawdowns. The probl...