InfoWorld

19 large language models redefining AI safety—and danger

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

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Andrew Yeung's career story reveals key interview lessons and how embracing authenticity led to success in tech and entrepreneurship.

Inside OpenAI’s Race to Catch Up to Claude Code

Anthropic, a smaller rival started by OpenAI defectors, has found runaway success with its programming agent, Claude Code.

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A Meta Superintelligence Labs researcher who previously worked at OpenAI shares what life inside top AI labs is like and the ...

He worked at Google, Meta, and OpenAI. He recommends 3 steps to find success in Big Tech.

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IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
InfoWorld

19 large language models for safety or danger

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...