Sources say Google has created a strike team to improve its coding models; Sergey Brin told DeepMind staffers they must aggressively pivot to catch up on agents
The InformationErin Woo
Context & Ripple Effects
GoogleDeepMind’s 2023 combination was framed as a shift from a research-led lab toward product delivery. Related coverage later described progress on reasoning models alongside internal concern that Google could fall behind.
The reported coding-model strike team and Brin’s call to pivot toward agents make that product pressure more concrete: coding and agent capabilities are being treated as an urgent execution gap rather than a longer-term research program.
First-order effects
Google and DeepMind are reportedly reallocating attention and staffing toward improving coding models and agent-oriented work.
DeepMind teams face a sharper mandate to prioritize agent capabilities, with direct senior-level pressure to accelerate the pivot.
Second-order effects
The move concentrates internal competition for researchers, compute, and product integration around coding and agent workflows, potentially deprioritizing less immediate work.
Subsequent related coverage says the coding strike team expanded into midtraining to catch up with Anthropic, indicating that the initial intervention can broaden from a targeted response into changes across the model-development pipeline.
Third-order effects
If such interventions persist, frontier-model competition will be organized less around standalone model advances and more around the ability to turn models into reliable coding agents and deployable products.
Google’s experience suggests that even well-resourced consolidated AI labs may need recurring organizational resets as capability benchmarks shift from reasoning to agent execution.
The trend: AI labs are moving from general model development toward organizationally urgent, product-focused races to build capable coding agents.
find it odd that every Deepmind person I come across works on post training but gemini is probably the worst post trained model out of all frontier models
yeah bro sergey brin is trying to internal coding model maxx because anthropic is mogging them on agentic coding. chat is google cooked. is google unc. is google chopped https://www.theinformation.com/ ...
Please let this be before Google I/O 2026 Solid coding models from Google would be amazing since they have so many surfaces I can use it: - CLI - Antigravity - Jules - AI Studio - API in another harness using my $10 cloud credits
Google DeepMind formed a strike team to improve its coding models, with Sergey Brin directly involved. It's surprising to me that Google has the world's largest internal codebase (>2B LOC), yet lags behind Anthropic and OpenAI in coding + agents. “Google's AI writes 50% of [image…
My tweet last week about Google's AI adoption drew a lot of pushback, to say the least... What they describe is a two-tier system. DeepMind engineers use Claude as a daily tool. Most of the rest of Google does not. When the question of equalizing access came up internally, the…
The Gemini models are probably the best base model of any of them, but the behavior and RL on the model is... not amazing It's REALLY good, but also super inconsistent If they can nail the RL environment on top of the base model, that'll be huge deal
This is going to be interesting because it's not clear Google can duplicate what Anthropic has done with agents, not because the technology is hard, but the cost of turning one prompt into hundreds are too high, too unprofitable. Google, a public company, can't light money on fi…