We introduce Multi-Agent Self-Supervision (MASS). One shared model solves tasks through a team of virtual subagents, searches for better multi-agent workflows, then uses its own judgments to select ...
Even if the screen is moving, games created by AI can sometimes have bugs discovered during gameplay. So, should we just have ...
When aiming for a graduate school in computer science, many people likely struggle to decide on their target schools or ...
Improvement (RSI) all misconceived for advancing artificial intelligence? Renowned AI pioneer Yann LeCun argues that ...
UC San Diego researchers give a 7B AI agent theory of mind, boosting Sotopia scores by about 11.5% and BigToM belief accuracy ...
Daily Excelsior on MSNOpinion
Threat of AI global action critical
Dhurjati Mukherjee For the last few years, analysts were afraid about the induction of Artificial Intelligence (AI) as it was ...
Agents can write code for hours, spin up parallel workflows, and choose their own vendors for databases, deployment, and email. But the moment ...
Vitalik Buterin claims AI could accelerate Ethereum's roadmap by decades, with tools like Lean 4 cutting research and coding ...
The economics of AI inference are breaking. Demand for tokens is compounding faster than costs are falling, and the old playbook of throwing more ...
A two-center study found that a machine-learning model built from 13 multiparametric brain MRI features can distinguish ...
A single open-weights 27B model, Qwen3.6-27B, plays all three roles in Sakana AI's MASS paper: task solver, workflow optimizer, and evaluator judging its own output, with no external supervisor in the ...
This week - context and harnesses make agents much better/smarter, but they aren't a cure all... Time for a gut check. AI ...
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