Google Co-founder Sergey Brin: The company has begun entering the recursive self-improvement phase, models are co-developing the next version with researchers
Google co-founder Sergey Brin confirmed during the Gemini 4 Argon roundtable discussion that the company has begun entering the recursive self-improvement phase, with models co-developing the next version alongside researchers.
Brin pointed out that the team embarked on this path starting from Flash 3.6, 3.7, and 3.8, and now researchers are collaborating hand-in-hand with the models to iterate on the next version, with the pace continuing to accelerate.
He made it clear that by the time the outside world sees Gemini 4 Argon, the internal team will already be using models that are several generations ahead, and this pace is expected to only increase.
Google's security report shows that AI agents have written the majority of production code and bug fixes, although code changes still require manual review before submission.
Logan Kilpatrick previously stated that Gemini 3.5 to 3.8 were released in continuous intervals of three to four weeks, showing early signs of recursive self-improvement, and Gemini 4 is expected to further deliver on this.
In market mechanisms, the buyers are Google's internal research teams and computational resources, while the sellers are the current model capabilities and the progress of external competitors; the events are driven by model-assisted coding and iteration, with funds and computational power flowing towards internal advanced model training, benefiting laboratories that master the recursive flywheel, while putting pressure on competitors with slower release rhythms.
In internal testing, employees have been using a stronger version called Carbon, with some comparing its coding capabilities to Anthropic's Opus 5.5, and the training needs have shifted from requesting chips to requesting Argon quotas.
Source: Public information
ABAB AI Insight
In recent years, Sergey Brin has repeatedly pushed DeepMind to shift resources towards recursive self-improvement, previously emphasizing through internal memos that models should become the primary developers of code, influencing Gemini's resource allocation and release rhythm; this roundtable is his public confirmation of entering the practical phase.
The capital path reflects the direct investment of existing model capabilities into the development of the next version, with researchers and models collaboratively completing code writing, training data correction, and evaluation, and internally deploying models that are several generations ahead of the publicly available Argon, shifting computational and human resources from external releases to internal flywheel acceleration.
This is similar to the RSI path expected by OpenAI and Anthropic researchers in the Gladstone report to emerge within 3 to 12 months, and also resembles early tools like AlphaEvolve optimizing Gemini's training infrastructure; currently, it is in the early expansion phase from model-assisted coding to research loop automation.
Essentially, this represents a technological substitution: models are beginning to take on iterative, code generation, and bug-fixing tasks that were originally led by human researchers, compressing the development rhythm from quarterly to several weeks, shifting control from purely manual processes to a human-machine collaborative recursive loop, accelerating capability enhancement while compressing the external follow-up window.
ABAB News · Cognitive Laws
Being several generations ahead internally is the true rhythm
Models writing models equals handing over iteration rights to themselves
The faster the release rhythm, the shorter the lead window