Core Automation, co-founded by ex-OpenAI VP Jerry Tworek, launches to build “the world's most automated AI lab” with talent from OpenAI, Anthropic, and DeepMind
- A new AI startup, Core Automation, has entered the chat. — Started by an ex-OpenAI researcher, it has …
Business Insider
Context & Ripple Effects
Core Automation enters a widening field of frontier-AI ventures founded by alumni of established labs: related coverage previously tracked Mira Murati’s Thinking Machines Lab, while OpenAI has set a goal of increasingly autonomous, multi-agent AI research.
The subsequent report that Core Automation was seeking a large financing round after an earlier raise suggests that its automation-first lab thesis is being tested not just as a research ambition, but as a capital-intensive company-building strategy.
First-order effects
Core Automation becomes a new destination for researchers and operators from OpenAI, Anthropic, and DeepMind, adding a direct competitor for frontier-lab talent.
Its stated focus puts automated research workflows at the center of its product and organizational agenda rather than treating them as a supporting internal tool.
Second-order effects
The originating labs face a sharper retention and recruiting challenge from startups led by former senior colleagues, especially for staff working on research automation and agentic systems.
Investors evaluating Core Automation will also be evaluating whether automated-lab claims can justify frontier-model-scale funding, reinforcing the premium on teams with elite-lab pedigrees.
Third-order effects
If automated research systems become a practical source of model-development leverage, frontier competition may increasingly turn on the quality of research infrastructure and agent orchestration, not only on individual model releases.
The pattern could further concentrate capital and talent in a small set of well-funded, alumni-led labs; whether smaller teams can gain durable advantage will depend on whether automation meaningfully lowers the cost and time required for research.
The trend: Frontier AI is shifting toward institutionalized, capital-intensive labs that seek to automate more of the research process itself.
Jerry Tworek (and other insanely talented people) new lab > We think the next wave of frontier research will come from small teams with highly capable agents > We're pursuing new learning algorithms that supersede large-scale pretraining and reinforcement learning, and [image]
A new AI lab built from the ground up around automated research. Led by the legend Jerry Tworek, former VP of Research at OpenAI, where he led the development of reasoning models. Absolutely incredible founding team. Heavy hitters out of OAI, Anthropic, DeepMind. Core idea: [imag…
Ok I did leave anthropic, a few weeks ago, it was one of the best places to work for a researcher. Jerry Tworek nerdsniped me into starting this with him and others The pretraining team at ant is one of the well functioning research team in the industry, and anthropic has great
A lot of the stack we use today was built for an earlier paradigm. If we want new kinds of research, we'll need new libraries, new abstractions, and new ways of running the lab. I couldn't be more excited about our founding team. We're going to any% the frontier.
After an incredible chapter at Google DeepMind working on Gemini, I'm starting something new with some exceptional people. I've increasingly felt that the current research paradigm — scaling models, data, and static deployment won't get us all the way. We believe the next phase