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On October 23, 2026, Google DeepMind released the frontier model Gemini 4 Argon. Google's official blog stated that the model performs outstandingly on complex tasks such as coding, mathematics, and 3D world building, and surpasses other frontier models on benchmarks across multiple domains; the company also showcased five community creative projects, including a 3D Earth that maps wildfires and seismic waves in real time, a turbofan engine simulation with live data, a 3D horse-drawn carriage generated from a single image, and a multiplayer capture-the-flag browser game, and said the model had already been made broadly available last week. On the same day, another report stated that Argon can learn physical tasks by watching videos and transfer them to Apptronik's Apollo humanoid robot, with Apollo hitting seven consecutive shots in internal tests; the report also said Argon scored 87% on the embodied reasoning benchmark ERQA. On October 24, the Gemini for Android app pushed a redesign of its sidebar and settings interface via a server-side update, and reports said the redesign had already arrived on iOS, macOS, and Web alongside Gemini 4 Argon last week.
AI-generated from public reports
Developments
2 confirmed developments
Gemini Android version launches sidebar and settings redesign
Source:9to5Google- Source:Google Blog
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Oct 26
36Kr · AI
Pichai Long Interview: Google Prioritizes Compute for Gemini R&D, Cloud Business Gives Up Some Near-Term Revenue
In an interview on the Big Technology Podcast, Pichai said Google prioritizes allocating compute to frontier AI research and model development, and the cloud business therefore gave up some near-term revenue. He revealed that in the 72 hours before Gemini 4 Argon launched, usage approached 25 trillion tokens, about three times the same period for Gemini 3.0, and it is still capacity-constrained; in the four weeks after Argon's release, Google's internal code change submissions increased by about 30% and rollbacks decreased by about one-third. He also said that currently agents assist researchers in developing models with humans still involved, that fully autonomous recursive self-improvement is still far off, and that safety requires multi-layered protections such as real-time monitoring, sandbox isolation, and customer control.
East Money
Robot sector surges, mass production of humanoid robots accelerates driving supply chain layout | Equity Market Weekly Report
Multiple institutions including East Money Securities believe that A-shares will bottom out amid short-term volatility with a rebound in sight, and recommend value stocks as a foundation with balanced allocation. The humanoid robot sector remains active: Google DeepMind released Gemini4Argon, which can directly control humanoid robots; Shanghai is pushing 8,000 humanoid robots into factories; Tesla's Optimus V3 mass production process is accelerating; and Hualong Securities maintains a "Recommended" rating on the industry. Multiple stocks in the banking sector hit record highs, with listed banks' revenue and net profit attributable to parent companies growing 7.4% and 3.0% year-on-year in 1H26.
Oct 24
9to5Google
Gemini for Android rolls out sidebar and redesigned settings interface
The Gemini for Android app, via a server-side update, has begun rolling out a redesign of the sidebar and settings interface. The sidebar moves search to the top right, shows only five recent chats, and tapping "More" expands the full list; the settings page merges options previously scattered across the account menu and "Gemini Settings" into a single page. The redesign landed last week on iOS, macOS, and Web with Gemini 4 Argon.
Oct 23
Google BlogFirst-partySelected
Google releases Gemini 4 Argon, showcasing 5 community creative projects
Google releases new frontier model Gemini 4 Argon, stating it performs outstandingly on complex tasks such as coding, mathematics, and 3D world building, and surpasses other frontier models on benchmarks across multiple domains. The official showcase features 5 community projects, including a 3D Earth that maps wildfires and seismic activity in real time, a turbofan engine simulation with real-time data, a 3D carriage generated from a single image, and a multiplayer capture-the-flag browser game. The model has been widely available since last week.
Robotics & Automation NewsSelected
Google DeepMind releases Gemini 4 Argon, which can teach the Apollo humanoid robot new skills from video
Google DeepMind releases Gemini 4 Argon and demonstrates the model learning physical tasks by watching videos, then transferring them to Apptronik's Apollo humanoid robot. In internal tests, after watching a video of beanbag throwing, Argon analyzed the environment, mapped spatial coordinates, and computed full-body joint motions, autonomously generating simulation code; Apollo hit the target seven times in a row in real trials. Google DeepMind says this Video-to-Sim-to-Real pipeline can compress simulation modeling that originally took weeks into hours, Argon scored 87% on the embodied reasoning benchmark ERQA, and the model has been opened through Google's AI products and the Gemini API.
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