Billion-Dollar Package Fails to Retain, Meta Loses Another 'Mr. AI'

marsbitPubblicato 2026-09-11Pubblicato ultima volta 2026-09-11

Introduzione

Andrew Tulloch, a distinguished AI researcher, is leaving Meta after only 11 months, despite reportedly being offered a compensation package worth up to $1.5 billion to rejoin the company last year. This marks his second departure from Meta, where he previously worked for 11 years on foundational projects like PyTorch and performance optimization. After leaving in 2023, he worked on GPT models at OpenAI and co-founded Thinking Machines Lab before his high-profile return to Meta in October 2025 to work on the Muse AI agent in the TBD Lab. His departure follows closely after another key AI lead, Jiahui Yu, left Meta shortly after the launch of Muse Spark 1.2. Tulloch is reportedly joining Anthropic to work on inference and performance optimization for Claude. The article highlights a trend of top-tier, financially secure AI talent rapidly moving between major labs (Meta, OpenAI, Anthropic), driven not just by compensation but by seeking the most promising projects and visions for AI's future. It concludes that such volatility in the AI talent market will likely persist as long as uniquely skilled researchers remain a scarce resource.

As Muse was just released, the Meta TBD Lab that created it is seeing people depart once again.

The person leaving this time is the most expensive and controversial candidate from Meta's aggressive AI talent grab last year—Andrew Tulloch.

Before accepting a sky-high offer to return to his former employer, he had already worked at Meta (formerly Facebook) for over 11 years. Following that, he was involved in training GPT-4o, GPT-4.5, and o3 at OpenAI, and co-founded Thinking Machines Lab with OpenAI's former CTO Mira Murati.

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Last August, Meta's Zuckerberg and Alexandr Wang messaged him repeatedly, offering him a compensation package valued at up to $1.5 billion (approximately RMB 10.8 billion) to invite Tulloch back.

But in a dramatic turn, Tulloch initially rejected the massive olive branch Meta extended;

It wasn't until two months later that Tulloch changed his mind, left the Thinking Machines Lab he helped found, returned to Meta, and joined the TBD Lab led by Alexandr Wang to research superintelligence, taking charge of Muse's related development.

From his return at the end of October 2025 to the news of his departure in September 2026, Tulloch's second tenure at Meta lasted about 11 months.

Just now, A-She sources revealed: Andrew Tulloch will join Anthropic's inference and performance team next week, focusing on optimizing the Claude Code training pipeline and improving the model's responsiveness to user instructions. (Specific team details to be announced)

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This inevitably brings to mind another of Meta's 'Mr. AI' — Jiahui Yu.

Similarly a top talent heavily recruited by Meta, Jiahui Yu announced his departure just eight days after the release of Muse Spark 1.2.

Now, less than a month later, Tulloch has chosen to leave just two days after Muse's launch.

For Meta, this perhaps once again illustrates: People can be bought with immense sums, but not necessarily retained.

With Muse Just Launched, Key Product Leaders Depart One After Another

The timing of Tulloch's departure is more telling than the specific reasons.

On September 8th, Meta officially launched the personal AI assistant Muse, which can not only answer questions but also break down long tasks, coordinate time and resources, help people fill out forms, send emails, book trips, and complete shopping.

According to Meta's official website, Muse is powered by Muse Spark.

Meta proudly calls it their most capable model to date, built for real agent tasks.

For Zuckerberg, this is not just another AI assistant, but a crucial product milestone for his 'personal superintelligence' strategy.

And it was only after delivering this product that Tulloch decided to officially leave.

This reminds people of Jiahui Yu, who left Meta to start his own venture just over half a month ago. The circumstances of their joining and leaving are strikingly similar:

Last June, Meta poached Jiahui Yu from OpenAI with an annual salary of $700 million to join Meta, where he worked with Zuckerberg, Alexandr Wang, and others to build the TBD Lab, overseeing the multimodal direction.

Yet, this August, barely over a week after the release of Muse Spark 1.2, Yu announced his departure to start a company, having been at Meta for just over a year and a month.

Only, Yu waited for Muse Spark 1.2, while Tulloch waited for the full Muse.

Now, the product has moved forward a step, but two key figures have left in succession.

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And the story between Tulloch and Meta begins in 2012.

His Name Was the Most Expensive in Last Year's Meta Talent Scramble

This isn't Tulloch's first time leaving Meta.

Andrew Tulloch is from Australia, having graduated from the University of Sydney and University of Cambridge.

From 2012 to 2023, Tulloch worked at Meta for about 11 years, rising from a Machine Learning Engineer to Distinguished Engineer.

On his personal homepage, he summarizes his early years at Meta in just one sentence:

Worked on machine learning systems at Meta.

But behind this simple statement lie connections to three projects: PyTorch, ResNet-50, and FBGEMM:

  • He is an honorable maintainer for PyTorch CUDA, indicating his involvement in underlying framework work;
  • He participated in classic work that compressed ResNet-50 training time on ImageNet to one hour, achieving ~90% scaling efficiency using 256 GPUs;
  • He contributed to building FBGEMM, a high-performance low-level operator library for model training and inference, particularly serving recommendation systems, quantization, and generative AI.

Additionally, he worked on Facebook datacenter deep learning inference, on-device inference, model quantization, and projects like AITemplate.

In other words, Tulloch's greatest value isn't in designing a chat product, but in making large-scale models trainable, faster, and cheaper to deploy.

In 2023, Tulloch left Meta to join OpenAI, contributing to the training of models like GPT-4o, GPT-4.5, and o3.

He then followed OpenAI's former CTO Mira Murati to become a co-founder of Thinking Machines Lab.

In 2025, after Llama 4's performance fell short of expectations, Zuckerberg personally took charge of Meta's AI strategy.

He first invested $14.3 billion in Scale AI, bringing founder Alexandr Wang into Meta, then formed the Meta Superintelligence Labs, launching a massive talent war against OpenAI, Google, Anthropic, and several star startups.

Thinking Machines Lab naturally became a prime target for Meta.

According to The Wall Street Journal, Zuckerberg approached Mira Murati hoping to acquire the newly founded AI company;

After being refused, Meta turned to contacting over a dozen Thinking Machines employees, attempting to directly poach them and dismantle the company.

Among them, Tulloch was the number one target.

Zuckerberg and Alexandr Wang bombarded him with messages, inviting him back to Meta.

Furthermore, to lure him away from the company he helped create, Meta offered a compensation package valued in the $1-1.5 billion range.

But surprisingly to Silicon Valley, not only did Tulloch reject it initially, but not a single Thinking Machines employee accepted Meta's offer at the time.

However, the situation changed two months later.

In October 2025, Tulloch announced he was leaving Thinking Machines for personal reasons and returning to Meta, joining the TBD Lab led by Alexandr Wang.

Now, less than a year later, he has left Meta again.

Exactly how much compensation Andrew Tulloch received from Meta remains unconfirmed, with figures ranging from $1 billion to $1.5 billion.

But regardless of the number, it's enough to place Andrew Tulloch among the highest-paid non-founder employees in the tech industry.

OpenAI and Anthropic Are Also Poaching Each Other, Five Months Counts as a Stint

However, the frequent movement of top talent isn't a problem unique to Meta.

From Ruoming Pang, who led Apple's foundational model team before moving to Meta and OpenAI, to Schulman, who jumped from OpenAI to A-She...

For these researchers who have achieved financial freedom and hold invitations from multiple labs, money no longer seems to be the primary motivator for staying.

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Axios summarized this talent war as:

Attracting top AI talent is already difficult, but even with sky-high salaries, prestigious titles, and abundant computing power, retaining them might be just as hard.

For these top AI talents, choosing a lab might no longer be just about picking the next job, but about choosing the version of the AI future they believe is most likely to be realized.

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Until 'Only a Few Can Do It' Becomes History

So, how long will this high-salary talent churn in AI companies continue?

The answer might depend on "how much longer top talent will remain scarce".

After all, "rarity breeds value". There's only a small handful of top-notch, battle-tested, and experienced researchers worldwide.

This talent market frenzy will likely only cool down when companies no longer need to "buy" the exclusive knowledge in a star researcher's mind, but instead require a set of engineering capabilities that can be stably replicated and repeatedly invoked by the organization.

Until then, top AI talent will still resemble free agents in professional sports—picking between tech giants and startups based on compensation, computing power, strategic direction, teammates, and the stage.

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For Meta, the successive departures of Jiahui Yu, Andrew Tulloch, and others are the most vivid footnote to this talent game.

Talent comes and goes, and Zuckerberg's superintelligence gamble will likely continue its bumpy journey amidst organizational turmoil~(doge

References:

[1]https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/

[2] https://tullo.ch/

[3] https://www.semafor.com/article/09/09/2026/ai-researcher-andrew-tulloch-is-leaving-meta

[4] https://iq.wiki/zh/wiki/andrew-tulloch

[5] https://archive.ph/no70G

[6] https://apnews.com/article/meta-ai-yann-lecun-313159512bb9961f324e0c93bccf4cf5

[7] https://www.axios.com/2026/08/03/ai-talent-wars-openai-google-meta-anthropic

[8] https://www.lemonde.fr/en/economy/article/2026/01/16/yann-le-cun-why-i-m-leaving-meta-to-launch-my-own-ai-start-up_6749498_19.html

[9] https://jiahuiyu.com/

[10] https://www.businessinsider.com/andrew-tulloch-ditches-meta-for-training-and-inference-at-anthropic-2026-9

This article is from the WeChat public account "QbitAI", author: Wenting

Domande pertinenti

QWho is Andrew Tulloch and why is his departure from Meta significant?

AAndrew Tulloch is a distinguished AI researcher and engineer. His departure is significant because he was one of the highest-paid non-founder AI talents at Meta, reportedly receiving a compensation package valued at $1.5 billion to return. He was a key figure in Meta's 'superintelligence' push and worked on projects like Muse and Muse Spark. His decision to leave so soon after the Muse launch, similar to the departure of another top AI talent, Jia Hui Yu, highlights Meta's challenge in retaining top talent despite massive financial incentives.

QWhat major project did Andrew Tulloch work on at Meta before his recent departure?

ABefore his recent departure, Andrew Tulloch worked on the development of Muse, Meta's personal AI agent, and its underlying model, Muse Spark. He was part of the TBD Lab led by Alexandr Wang, focusing on superintelligence research.

QWhat is Andrew Tulloch's new role after leaving Meta?

AAfter leaving Meta, Andrew Tulloch is joining Anthropic's inference and performance team. His focus will be on optimizing the training flow for Claude Code and improving the model's efficiency in responding to user instructions.

QWhat was Andrew Tulloch's background before returning to Meta in 2025?

ABefore returning to Meta in 2025, Andrew Tulloch had over 11 years of prior experience at Meta, where he contributed to foundational projects like PyTorch, ResNet-50 optimization, and FBGEMM. After leaving Meta in 2023, he joined OpenAI, participating in the training of models like GPT-4o, GPT-4.5, and o3. He then co-founded Thinking Machines Lab with former OpenAI CTO Mira Murati.

QAccording to the article, what broader trend does the movement of Andrew Tulloch and Jia Hui Yu represent in the AI industry?

AThe movement of Andrew Tulloch and Jia Hui Yu represents a broader trend in the AI industry where top-tier, highly compensated talent is highly mobile and difficult to retain. The article suggests that for these individuals, financial incentives are no longer the primary motivator. Instead, they are driven by the desire to work on what they believe is the most promising path to achieving advanced AI, choosing between companies like Meta, OpenAI, Anthropic, and startups based on factors like technical direction, resources, and team.

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