It’s tempting to give Meta Spark 1.2 and Muse Code the title story today because of their success launching a 5.6 Terra-level model, together with innovative harness design with a local event log for resumability and persistent background agents, both of which should put other coding agent builders on notice.

It’s tempting to highlight Prime Agent, Prime Intellect’s self-improving RLM based harness that claims an incredible 95.5% on ARC-AGI-3 (not yet endorsed by ARC).

We tried. Trust me, we tried.

But it’s hard to beat around the bush — today’s most important story is the coordinated departures of Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le, some of the most senior engineering and research talent in both Google and in human history, from DeepMind to cofound a new autoresearch startup Discovery Loop:

Jeff Dean@JeffDean

Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine

4:06 PM · Aug 5, 2026 · 3.2M Views

708 Replies · 1.53K Reposts · 15.2K Likes

And Demis, who needs no introduction, goes from CEO to Chair and Chief Scientist, while “leaning into” Isomorphic with CTO Koray stepping up to SVP of GDM:

Demis Hassabis@demishassabis

I’ve been working towards AGI my whole life, and as we enter this pivotal moment, I’m stepping into a new role as Chair of Google DeepMind & Chief Scientist of Alphabet. This will allow me to focus on long-term strategy, and accelerating scientific breakthroughs, including

4:04 PM · Aug 5, 2026 · 1.06M Views

781 Replies · 1.25K Reposts · 15.4K Likes

All the departures are very amicable; Google is investing in Discovery Loop, and Demis’ increased contributions to long term strategy and Isomorphic in particular will be very welcome by humanity, but surely we are not being told the full story here; why couldn’t Discovery Loop have been done inside Google?

That one at least, we have some hints, given GDM’s history of 1000+ coauthor papers for Gemini, vs these 4 superhumans writing this manifesto:

When John Jumper left for Anthropic, one could maybe chalk it up to Anthropic’s momentum. When Noam Shazeer joined OpenAI, perhaps one could point to their pioneering work in reasoning models. But couple it with David Silver, Denny Zhou, and other prominent departures, and the 6 months since the last Gemini Pro update, one has to wonder 1) what happened that led to this, 2) how this latest shakeup was decided, 3) if the shuffle is the beginning of the middle of the end or the first prologue of a great and necessary comeback story.

After all, Google STILL has great models, talented teams, excellent compute and infrastructure and the greatest trove of training data in human history…

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Google DeepMind Leadership Reshuffle and the Discovery Loop Spinout

• A major Google AI reorg landed alongside a high-profile founder exodus: Demis Hassabis is moving to Chair of Google DeepMind and Chief Scientist of Alphabet, explicitly stepping back from day-to-day GDM operations to focus on long-term strategy, AGI, and science. Koray Kavukcuoglu takes operational control as SVP of DeepMind, overseeing Gemini, frontier research, and product/dev teams. The subtext from the ecosystem was clear: this is being read as both a governance reset and an attempt to sharpen product execution around Gemini.

• At the same time, Discovery Loop launched with one of the strongest founding teams in AI infrastructure/research: Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le are founding Discovery Loop, a Public Benefit Corporation aimed at automating machine learning, science, and engineering. Dean also shared that Radical Ventures and Khosla Ventures are leading the seed round, with participation from Lightspeed, Kleiner Perkins, Doerr Capital, and Alphabet. The technical read-through is important: rather than another general-purpose model startup, this is explicitly targeting autoresearch / automated discovery loops over scientific and engineering workflows.

• Why engineers cared: the market reaction wasn’t just “big names left Google.” It was that several people most associated with Google’s deep infra, model-building, and research execution stack are now pursuing a startup centered on automated science. Commentary from Nathan Lambert, Andrew Ng, and others framed it as a historical inflection point for Google’s AI efforts and a strong signal that AI-for-science is becoming a primary frontier, not a side quest.

Meta’s Muse Spark 1.2 and Muse Code Push Into the Coding-Agent Race