Microsoft

Contagious Interview: Malware delivered through fake developer job interviews

The Contagious Interview campaign weaponizes job recruitment to target developers. Threat actors pose as recruiters from crypto and AI companies and deliver backdoors such as OtterCookie and ...
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.

Meta Is Developing 4 New Chips to Power Its AI and Recommendation Systems

The MTIA processors are the tech giant’s latest attempt to build its own AI hardware, even as it continues spending billions on gear from industry leaders like Nvidia.

I bombed my first interview at Google so badly that it took 3 years to get another one. Here's what I learned.

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

Katy Shi, a researcher who works on Codex's behavior at OpenAI, says that while some folks describe its default personality ...

I work at Meta's Superintelligence Labs and used to be at OpenAI. Here's what the job is like — and what I've learned.

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.

Before working on OpenAI's Codex, Michael Bolin was at Meta and Google. He said he's learned a thing or two about making an impact in Big Tech.
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 ...