Observed Signal · Apr 24, 2026 · Hiring · Source: techcrunch · Impact: 3/5 · Sentiment: Neutral
Thinking Machines Gains Meta Researchers After Google Deal
Thinking Machines Lab (TML) has been recruiting multiple researchers from Meta while expanding its infrastructure partnerships. The startup signed a multibillion-dollar cloud agreement with Google that gives it access to Nvidia’s latest GB300 chips and places TML alongside Anthropic and Meta in infrastructure tiering. Several high-profile ex‑Meta employees have joined TML — including Soumith Chintala (appointed CTO), Piotr Dollár and recent hires Weiyao Wang and Kenneth Li — even as Meta reportedly recruited seven of TML’s founding members. TML reported a headcount of about 140 and a valuation previously reported at $12 billion. The article notes TML has prior ties with Nvidia and has released one public product (Tinker).
The story documents talent flows between a major platform (Meta) and a high‑value AI startup and highlights a multibillion-dollar Google cloud deal giving TML access to Nvidia GB300 hardware—facts that affect competition for frontier AI talent and infrastructure but do not directly change core AdTech market structures.
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Key Takeaways & Evidence Grounding
- Thinking Machines Lab signed a multibillion-dollar cloud deal with Google, announced at Google Cloud Next.
- The Google agreement gives Thinking Machines access to Nvidia’s latest GB300 chips and places it in the same infrastructure tier as Anthropic and Meta.
- Thinking Machines has hired multiple former Meta researchers, including Soumith Chintala (appointed CTO) and Piotr Dollár; recent joiners include Weiyao Wang and Kenneth Li.
- Business Insider reported Meta has poached seven of Thinking Machines’ founding members.
- Thinking Machines Lab is reported to have a headcount of around 140 and a prior reported valuation of $12 billion.
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Thinking Machines Lab Partners with Nvidia for AI Revolution
Thinking Machines Lab, the AI research startup co-founded by OpenAI alum Mira Murati, announced a multi-year strategic partnership with Nvidia. The agreement — terms not disclosed — includes deployment of at least one gigawatt of Nvidia’s Vera Rubin systems beginning in 2027 and a commitment to jointly develop training and serving systems for Nvidia architecture. Nvidia is also making a strategic investment in the lab. Thinking Machines Lab has raised more than $2 billion since its February 2025 founding from investors including Andreessen Horowitz, Accel and Nvidia (and interest from AMD’s venture arm), and is valued at over $12 billion. The company released its first product, the Tinker API, in October. The piece notes several co‑founder departures (including Andrew Tulloch to Meta and three returning to OpenAI) and places the deal in the context of surging demand for AI compute.
Meta Plans AI Compute Cloud Business
Bloomberg reports Meta is building “Meta Compute,” a cloud business to sell access to its AI compute infrastructure and models. The market reacted strongly: Meta shares rose while semiconductor suppliers and specialist “neocloud” resellers plunged, suggesting Meta’s move could upend the scarcity-driven pricing model for GPU capacity. The newsletter also highlights Venice — a privacy-focused AI startup — raising $65M at a $1B valuation while claiming strong usage and early profitability; OpenAI teasing a Codex Micro hardware keyboard co-built with Work Louder; and Anthropic engineering leads arguing job roles are converging as AI lowers execution costs. The Meta announcement and market moves signal a potential structural shift in AI infrastructure supply, investor expectations, and downstream service providers.
Thinking Machines Unveils Real‑Time Interaction Models
Thinking Machines Lab (Thinky), the startup founded by former OpenAI CTO Mira Murati, published a research preview of new “Interaction Models” designed for real‑time, human‑like collaboration across audio, video and text. The models use a micro‑turn architecture that processes input in ~200ms chunks and support full‑duplex simultaneous speech and listening. The company highlighted TML‑Interaction‑Small, a 276‑billion‑parameter mixture‑of‑experts model that it says responds in ~0.40 seconds and can interleave listening, tool calls (search, browsing) and UI generation. Thinking Machines raised a headline $2 billion early funding round (reported as seed/early‑stage) and lists investors and partners including Andreessen Horowitz, NVIDIA, AMD, Cisco, Jane Street and Sequoia Capital; NVIDIA also announced a 2026 partnership to deploy one gigawatt of computing capacity. The lab plans a limited research preview in coming months with a wider release later in 2026.
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