Realtime AI News
Gemini 4 Argon spotted in A/B testing on Antigravity
A tracking report says an entry labeled Gemini 4 Argon was spotted in A/B testing on the Antigravity platform, an early signal that Google's next Gemini generation is moving through internal stages. Google has made no official statement, so the naming, capabilities and any release timeline remain unconfirmed.

A new tracking report says an entry labeled Gemini 4 Argon was spotted running through A/B testing on the Antigravity platform. It is a trace from the pre-launch testing stage rather than an official Google announcement.
The report is thin by design. Its core claim is narrow: a model referred to as Gemini 4, alongside the codename Argon, was observed in an A/B test environment tied to Antigravity. Google has published no official statement about such a model, and no capabilities, parameters, or schedule are attached to the sighting.
A/B testing is standard practice for large AI developers. A new build is exposed to a small slice of users so the team can watch real usage, catch regressions, and decide whether to widen the rollout. Seeing a version at that stage suggests something runnable exists internally, but it does not mean a public release is imminent.
TestingCatalog and similar trackers work by watching interface changes, feature flags, and gradual rollouts across vendor products. Their upside is an early paper trail that often precedes official announcements; their limit is that a codename reveals little about the finished product.
For anyone following Google's model roadmap, the interesting signal is the testing cadence itself. If a Gemini 4 build is already in an A/B environment, the next generation is moving through internal stages even while the public picture stays deliberately quiet.
It is worth keeping the finding in proportion. Until Google confirms anything, the naming, the capability boundaries, and any release window remain open questions. The things to watch are an official acknowledgment and whether the build graduates from a limited test into broader availability.
Why it matters
The sighting points to internal momentum behind the next Gemini generation without confirming any release. Treat it as an early signal, not a product announcement.
Nearby Updates
All10/12, 05:19
Nace.AI Open-Sources Drex 1.5, a 9B Decision Model That Scores Options, Not Text
Nace.AI has open-sourced Drex 1.5, a 9B decision model that returns a probability for each option instead of generating text, aimed at agents and backend workflows. The company says it scores 58.08 on the public Decision Index 0.3.1, the highest mark in the benchmark's sub-10B class.
10/12, 04:39
Free Gemini Users Lose Manual Model Choice as Google Introduces 'Auto' Mode
Google has quietly removed the manual model picker from the free version of Gemini, replacing it with a single Auto setting that decides which model answers each prompt. Free users can now only adjust an effort level, while direct model control is reserved for paid AI subscriptions.
10/12, 07:40
Google Cloud Launches Gemini Agent, a Universal Work Agent for the Enterprise
Google Cloud has introduced Gemini agent, a single enterprise agent that routes work across Gemini and Claude models and automates tasks spanning research, content creation and coding. Announced at the company's Gemini at Work event, it adds security and spending controls for businesses deploying agentic workflows.
10/12, 08:44
Coinbase CEO Says Fine-Tuned Qwen Model Improves Fraud Prevention
Coinbase's chief executive said the exchange fine-tuned a Qwen model to strengthen its fraud-prevention capabilities. The remark puts the practical value of open-weight models in core crypto risk-control workflows back in the spotlight.