198 summarised stories about Gemini, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 22 hours ago 40 ● 18 sources
The Gemini API and a $100/month subscription plan added support for the Gemini 4 Argon model via llm-gemini 0.35. The article says Argon costs $2/million input and $10/million output at launch, doubling on December 1st. Token-based benchmarking and overall running cost comparisons are expected to matter more as the price changes.
SiliconANGLE 22 hours ago 33 ● 18 sources
Google released Gemini 4 Argon to Gemini app Pro and Ultra subscribers, adding a tasks mode that lets Gemini keep working after users step away.
Product Hunt 22 hours ago 18
RoleFit launched today to generate tailored job application documents instead of requiring users to start from scratch. It uses Gemini AI and can export personalized resumes, cover letters, and LinkedIn outreach, plus PDFs and DOCX files. The change is that job seekers can analyze job descriptions and revise ATS-friendly materials and track applications in one place.
Google 1 day ago 47 ● 18 sources
Google is rolling out Gemini 4 Argon more broadly and expanding its Fairwind Program for trusted cyber defenders after testing limited access for misuse and misalignment risks.
Google 1 day ago 26 ● 18 sources
Gemini 4 Argon was released as a physical-reasoning model for robotics, covering code generation and visual-semantic reasoning across control, real-to-sim, and research/self-improvement workflows. On the Embodied Reasoning (ERQA) benchmark, Argon scored 87% using pure reasoning, higher than other frontier models. This shifts robotics development toward applying a single general-purpose physical reasoning model across the full robotics lifecycle, including real-to-sim calibrated simulation and closed-loop robot control.
Google 1 day ago 29 ● 18 sources
Google released Gemini 4 Argon for developers and enterprises via the API and Google’s apps/platforms. The introductory pricing is $2 per million input tokens and $10 per million output tokens. The availability expands to more users and partnerships, and teams across engineering, cybersecurity, and science describe faster results using the new model.
Ars Technica 1 day ago 15 ● 18 sources
Google is rolling out Gemini 4 Argon more widely in the Gemini app and its Antigravity feature, but access starts with paying users only. The rollout begins today. Capabilities and published benchmarks remain the same, while access is tier-limited and processing is guarded by a refusal system and an automated misalignment monitor.
The New Stack 1 day ago 7 ● 18 sources
Google debuted Gemini 4 Argon, making its new flagship model available in the Gemini API (paid tier) and across Google’s developer and consumer tools, with an initial rollout limited to selected Fairwind partners and testers. The model includes a unified 1M token limit that combines input and output in the same budget, and it costs $2 per million input tokens and $10 per million output tokens through November 30. After this shared limit, long prompts reduce the remaining tokens available for responses, and Google’s later description shifts from an output cap to a single input/output budget.
Product Hunt 1 day ago 21 ● 18 sources
Google launched Gemini 4 Argon as its frontier model for long-horizon software engineering, enterprise knowledge work, and cybersecurity defense. As of Oct 13, it is available globally in the Gemini API paid tier, AI Studio, the Gemini app, and AI Mode in Search with a 1M unified input and output token limit. It moves the model into multiple Google products and paid developer access with a specified token cap for longer tasks.
Product Hunt 1 day ago 25
AURORA Lifeline launched to convert an official IMD cyclone bulletin into a district plan that maps which PHCs, hospitals, and villages will lose road access and what to move first. Gemini reads the bulletin and runs 1,000+ WeatherNext and ECMWF storm futures over each road to populate the plan’s numbers. Officers then approve the results and the tool is described as open source, with published code missing.
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14 October 2026
OpenAI’s day wasn’t about model capability—it was about access, secrecy, and who knows what. The company is fighting espionage-related allegations on two tracks: an FBI arrest of Abdulrahman Alfozan, accused of planting a hidden recording device in an OpenAI executive conference room, and a separate claim from OpenAI that a former employee took more than 100 files on unreleased product plans and shared them with Apple leadership after routing them through a personal account. OpenAI says it found no evidence that anyone obtained model weights, source code, or customer data, while court filings describe prosecutors seeking up to five years in prison if convicted. Judge Edward Davila is pressing for faster document handover and rules on injunction and dismissal motions in Apple’s trade-secret suit, turning what could have stayed behind lab doors into a schedule of legal deadlines.
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