OpenAI says it has built an 'automated research intern' to carry out menial tasks — and it's only just getting started
THE SO WHAT
An “automated research intern” formalizes what many teams are already doing ad hoc—offloading literature review, data extraction, and grunt analysis to an agent. If your org runs research-heavy workflows, this is the moment to standardize prompts, review protocols, and data access so you get leverage without corrupting your knowledge base.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIAI researchers back an extinction warning as the Pentagon rejects it
Existential risk is now a live fault line between frontier labs and parts of the national security establishment. If you’re building with advanced models, assume policy, procurement, and public narratives will be pulled between ‘catastrophic risk’ and ‘strategic asset’ for the next few years.
Applied AIOracle’s AI bet pays off as cloud momentum helps drive a rosier forecast
Oracle’s growing AI-driven backlog is another data point that ‘old guard’ enterprise vendors can convert existing relationships into AI infra revenue. If you’re a CIO, expect more credible AI capacity offers from incumbents you already buy from, not just hyperscalers and startups.
Applied AIHumans Are the Real Culprits of AI Risk
The critique that AI risk is ultimately about human incentives, not just model behavior, pushes governance conversations toward corporate structure and deployment norms. Boards and executives can’t outsource ‘safety’ to a research team — incentive design and go-to-market choices are now core risk levers.
Top AI researcher Andrew Tulloch ditches Meta to work on training and inference at Anthropic
High-profile talent moving from Big Tech to a frontier lab for training and inference work underlines where many researchers think the most interesting scaling problems live. If you’re competing for AI talent, assume compensation alone won’t win — you need a credible story on data, compute, and impact.