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Models & Research

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New model releases, benchmark results, training techniques, and research papers.

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  1. 2026-10-15 Google DeepMind Blog

    Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection

    Google DeepMind built a scam-detection AI with GovTech Singapore that runs entirely on the user's phone. It is Google's lightweight Gemma model fine-tuned on local scam conversations, and it shows a real-time warning to pause before sending money or personal information when a chat looks manipulative. Because conversations never leave the device, neither the Singapore Government nor Google can see them, according to the post.

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  2. 2026-10-15 Ars Technica AI

    OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say

    AI safety testing firm White Circle disclosed a new attack that bypasses the safeguards of image generators. Using only freely downloadable tools, it got humans to confirm explicit images from about 13% of attack prompts on OpenAI's DALL·E 3, under 10% on Google's Nano Banana 2 and about 3% on OpenAI's GPT-Image-2. White Circle says the newer ChatGPT Images 2.5 and Nano Banana 2.1 proved significantly more breakable than their predecessors under the same method. Neither OpenAI nor Google responded to Ars Technica's request for comment.

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  3. 2026-10-15 SiliconANGLE AI

    Grok Voice 3.0 from SpaceXSI outscores OpenAI and Google on speech-to-speech index

    SpaceXSI, the renamed xAI, released Grok Voice 3.0, which ranked first on Artificial Analysis' Speech-to-Speech Index with 86.9. OpenAI's GPT-Live-1 scored 83.2 and Google's Gemini 3.8 Live 82.6. On Tau-Voice, a test of support calls with heavy accents and background noise, OpenAI kept the lead at 74.5% to Grok's 71.6%. The price is 8 cents per minute, the same as Grok Voice 2.0.

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  4. 2026-10-15 The Decoder

    OpenAI will reportedly ship at least one model this year but its flagship still needs alignment work

    According to The Information, OpenAI employees expect one or two new models before the end of 2026, though it is unclear whether the major upgraded flagship will be among them. That flagship still needs alignment work to match what researchers and customers expect, plus stronger testing infrastructure. It uses looped transformers, as does Astra, OpenAI's current top model, passing each token through the same layers several times before producing the next word.

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  5. 2026-10-15 AI Times

    Google releases Gemini 4 Argon for Robotics, built for stronger physical reasoning

    Google released Gemini 4 Argon for Robotics, a model that helps robots understand physical environments and practice in simulation to raise real-world success. According to AI Times, it does not drive robots directly. It is a high-level reasoning engine that automatically builds physics simulations such as MuJoCo and generates large volumes of training data to improve robot-control models (VLAs). That data raised a general VLA model's task success rate from 56% to 75%, and Argon scored 87% on the ERQA physical-reasoning benchmark without external tools.

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  6. 2026-10-14 Google DeepMind Blog

    Developing Gemini 4 Argon responsibly and safely

    Google DeepMind published safety and security results for Gemini 4 Argon. The model completed all 12 simulated end-to-end cyberattack scenarios, up from five for the previous generation. External red team testers unlocked less than 1% of the biology sub-tasks they tried, and the model allowed 0.7% of attacks across 15 adaptive attempts on Gray Swan's indirect prompt injection benchmark. Attempts to cheat on coding tests fell to 2%.

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  7. 2026-10-14 Google DeepMind Blog

    Gemini 4 Argon: Built to solve your hardest problems

    Google released Gemini 4 Argon, its new top model aimed at multi-step work in coding, finance, legal, cybersecurity and science. Google says it ranks first on the Vals Index, which measures finance, coding, legal and tax tasks. API pricing is $2 per million input tokens and $10 per million output tokens through November 30, then rises to $4 and $20. Google AI Ultra and Pro subscribers get it in the Gemini app and AI Mode in Search, and Ultra subscribers get it in Antigravity.

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  8. 2026-10-13 Wired AI

    Muse Wonder Puts Meta Back at the AI Frontier

    Meta has released two new AI models, Muse Wonder and Muse Wonder Full, and says they put it back among the frontier model leaders. According to Wired, Meta claims the largest version beats Anthropic's second-strongest model, Claude Fable 5.1, and ranks just below its strongest, Claude Opus 5.5. On some specialized benchmarks, such as legal documents and software building, Meta says it also beat OpenAI's GPT-6 Astra and both Claude models. Meta did not disclose how the models were built or trained.

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  9. 2026-10-11 The Decoder

    Google's Gemini 4 "Carbon" model reportedly feels like Anthropic's Opus 5.5 coding performance

    According to Business Insider, an internal assessment says the coding performance of "Carbon," a Gemini 4 variant Google is testing, rivals Opus 5.5, Anthropic's strongest coding model. Google is testing Gemini 4 variants called Argon, Barium and Carbon. Carbon went onto the internal coding platform Jetski a few days ago and reportedly beats Argon mainly on programming. The Opus 5.5 comparison came from a single employee, who said it still needs more testing.

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  10. 2026-10-10 The Verge AI

    ‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop

    OpenAI this week released about 400 AI-generated math results spread across more than 700 manuscripts. More than three dozen mathematicians told The Verge it could take years just to make sense of them. OpenAI said it has formalized only 300 top-line results out of 719 manuscripts in Lean, a proof-checking language, which is about 42 percent. Imperial College London's Kevin Buzzard said only about six of the theorems in his area stood out.

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