Excited to share this podcast - where we got to talk about the current trajectory of AI agent research, and open challenges in enabling safe and reliable multi-agent coordination at scale.

Google DeepMind researcher @weballergy warns that investing in AI without expanding scientific labs could leave humanity with more hypotheses than it can test: "Intelligence is an enabler for advancing research, but it needs to be followed by similar investments in the infrastructure to deliver on the promise." "For many sciences that are not strictly computational, you need to have physical laboratories to validate those findings or disprove them, because at the end of the day, some of them will also be false." "If we put all of the investments on the AI side of the equation, we’re gonna have a world where we have many more hypotheses and conjectures than we can actually process downstream." "The broader scientific community needs also to see investment. More people, more experts, more laboratories." @GoogleDeepMind

Thanks @MTSlive for the opportunity to talk about some of the work we've been doing on advancing multi-agent research

We are bringing agents to the wet-lab bench at Google Research to navigate complex biological landscapes. Learn how we are grounding agents in physical lab robotics to run fast closed-loop molecular design cycles, ultimately discovering single-digit nanomolar protein binders for cancer targets →goo.gle/4B5mMMB

Some magical progress towards "magic state" in quantum! Our @GoogleQuantumAI team has demonstrated "magic state cultivation" on physical hardware for the first time. The result is a 40x error reduction on our Willow processor vs. previous methods, achieving a state-of-the-art 99.99% logical fidelity. It's another step towards useful, error-corrected quantum computers to help solve the hardest problems. The result is published in Science today, watch the video below to see how it works

Most important, we want to get this model into as many scientists’ hands as we can. Today, we’re announcing that 10,000 scientists will get the highest usage tier access to Gemini 4 Argon in Google @antigravity free of charge for 6 months. Apply here: forms.gle/WvmBbPvRbpKG1BPn9

Gemini 4 Argon is amazing for knowledge work and coding - and it’s super fun to build with! We asked it to create this wizard chess game and it's so cool to see Argon's physics understanding & 3D modelling capabilities, makes me nostalgic for Battlechess on the Amiga - fun times! Argon is rolling out today to Google Ultra and Pro subscribers in the @GeminiApp and Search, and Ultra subscribers in @antigravity! More info & full availability in the blog: blog.google/innovation-and-a…

New paper! Science is constrained by physical and economic bottlenecks such as hypothesis testing, especially as many discoveries involve long chains of smaller steps and hypotheses, each requiring validation. As the marginal cost of hypothesis generation goes down, the physical validation cost is likely to remain inelastic in the absence of major investments in scientific infrastructure. Autonomous science is therefore not merely a question of raw capabilities - the allocation of limited validation capacity matters just as much. We argue that this will require deliberately designed markets and institutions, both to allocate scarce validation capacity to the most valuable work and to ensure public good research isn’t crowded out. With @weballergy , @FranklinMatija , @Dr_Atoosa , @vivnat , @alan_karthi , @sindero and I. arxiv.org/abs/2609.31562

Today @TheLancet published our AMIE study with @BIDMC_Medicine, the first prospective study of patient-facing conversational diagnostics in a real clinic. AMIE is a research system people can chat with before doctors appointments. Testing AMIE outside the lab with real urgent care patients showed how technology can help gather medical histories safely. Clinicians reported that the summaries helped them prepare for visits in 75% of cases and influenced their approach to care in more than half. AMIE’s differential diagnoses also matched the doctors’ final diagnoses 90% of the time giving clinicians more time to focus on patient care. It’s Google’s first-ever paper in The Lancet’s main journal!

The most important thing we can apply AI to is improving medicine and human health - very excited about this partnership with the CZI and the Virtual Biology Initiative!

🚨 Our first peer-reviewed paper on the challenges and opportunities of automating science with AI is now available at the Proceedings of the National Academy of Sciences. Read the full paper here: pnas.org/doi/epdf/10.1073/pn…