🤝 Meta Recruits Thinking Machines Co-Founder

Also: OpenAI Risks Billions in Copyright Showdown

Author

Evolving AI
October 13, 2025

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Welcome, AI enthusiasts

Meta just brought on Andrew Tulloch, co-founder of Thinking Machines Lab and a major figure in the startup founded by former OpenAI CTO Mira Murati. Tulloch’s move marks another shift in the ongoing race for top AI talent. Let’s dive in!

In today’s insights:

  • Meta Recruits Thinking Machines Co-Founder

  • OpenAI Risks Billions in Copyright Showdown

  • Meta Goes All In on AI Productivity

Read time: 4 minutes

LATEST DEVELOPMENTS

Source: David Paul Morris/Bloomberg / Getty Images

Evolving AI: Meta secures former Thinking Machines Lab co-founder Andrew Tulloch, marking another major AI talent shift.

Key Points:

  • Andrew Tulloch, co-founder of Thinking Machines Lab, has joined Meta.

  • Reports suggest Meta previously tried to buy the startup and offered Tulloch up to $1.5B in compensation.

  • Tulloch previously worked at OpenAI and Facebook’s AI Research Group.

Details:

Thinking Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati, has lost one of its key figures. Co-founder Andrew Tulloch announced his departure and is set to join Meta. The Wall Street Journal earlier reported Meta’s aggressive attempts to acquire Thinking Machines and recruit Tulloch directly, with offers potentially worth $1.5 billion over six years. Meta later called those figures exaggerated. Tulloch’s move reconnects him with Meta’s AI research division, where he previously worked.

Why It Matters:

Meta poaching Andrew Tulloch shows just how personal the AI race has become. With talent like Tulloch (who’s worked at both OpenAI and Meta before) Zuckerberg’s team isn’t just chasing more compute, they’re chasing the people who know how to push models forward faster and cheaper. Meta’s AI push is now less about catching up to OpenAI and more about reshaping its entire ecosystem around Llama, integrating smarter assistants into its social apps and future AR devices. The question is whether all this talent migration will lead to meaningful breakthroughs or just higher salaries in the same arms race.

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Evolving AI: A Manhattan court may force OpenAI to reveal attorney emails in a major copyright case.

Key Points:

  • Authors claim OpenAI used pirated books to train its AI and later deleted key data.

  • The court may lift attorney-client privilege, exposing internal Slack messages and emails.

  • A finding of willful infringement could push damages into the billions.

Details:

OpenAI faces growing legal pressure as authors and publishers gain access to internal communications over its use of pirated books from Library Genesis. Plaintiffs argue OpenAI deleted evidence after anticipating lawsuits and are seeking attorney emails that could show intent. The court’s decision could expose the company to severe sanctions, including fines or a default judgment. The ruling follows a $1.5 billion settlement between authors and Anthropic in August over similar claims.

Why It Matters:

If the judge cracks privilege, AI firms get a harsh lesson in discovery hygiene. Internal chat, logging, and data deletion choices can read as intent, turning routine claims into bet‑the‑company risk. Expect tighter vendor audits, stricter legal holds, and a rush to prove training sets are licensed or quarantined. Builders should keep clean audit trails, add kill switches for tainted data, and require clear approvals for removal or retention. Buyers should raise indemnity caps, demand dataset provenance reports, and test output filters against their own IP. Courts are writing the playbook now.

Source: network-king

Evolving AI: Meta pushes its metaverse team to work five times faster by using AI in every task.

Key Points:

  • Meta VP Vishal Shah told staff to adopt AI across all workflows under the motto "Think 5X, not 5%."

  • The company aims for 80% of metaverse employees to integrate AI tools into daily routines by year’s end.

  • Engineers worry about "vibe coding"—AI-written code that’s fast but messy and hard to maintain.

Details:

Meta is pushing an aggressive internal campaign to weave AI into every corner of its metaverse division. Vishal Shah, VP of Metaverse, urged staff to work “5X faster” using AI, calling it a core productivity driver. Training sessions and AI-focused learning days are being rolled out, and employees are told to prototype, debug, and iterate faster. The push mirrors a broader shift across tech giants as AI tools become standard for coding and workflow automation.

Why It Matters:

Meta sets a new baseline at big tech: your team ships faster with AI or gets left behind. In the near term that means more prototypes in hours, fewer handoffs, and interviews that reflect real workflows where AI is allowed, but it also raises a maintenance bill if “vibe code” slips into production without tests, tracing, and ownership. Expect similar mandates elsewhere as leaders openly tie AI use to headcount and timelines, which puts a premium on guardrails like automated checks, code provenance, and rollback plans.

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