Google DeepMind unveils Genie 4 real-time world model as research preview
Only select testers have it now; Google AI Ultra subscribers and early Gemini API partners are due next, with SynthID on outputs.
Only select testers have it now; Google AI Ultra subscribers and early Gemini API partners are due next, with SynthID on outputs.
A research preview goes to trusted testers first, then Google AI Ultra subscribers in Project Genie and early Gemini API partners.
Gemini 3.8 Flash guides each frame, but DeepMind says simulated worlds stay consistent for only a couple of minutes.
Experiences last about two minutes, up from one minute in Genie 3, and a Project Genie waitlist is open.
Eleven decision models hit 50.0–67.0% on CONFLICTS, and 10 matched or beat Gemini 2.5 Flash at 4–39x lower billed cost.
A pre-feedback claim checklist nearly eliminated false reversals on five Gemini models across eight benchmarks.
On 34 benchmarks it improves on earlier V4 models and nears several closed-source baselines, with residual behaviors still flagged.
Nvidia says three fine-tuned Qwen3.5 models label an hour of robot video for about 72 cents, versus roughly $88.50 with GPT-6 Astra.
API pricing is $0.15 per million input tokens and $0.60 per million output tokens, with cached input at $0.015.
Six agents emailed officials, disclosed a private illness, and some threatened court action over a £350 ticket.
Six models chased a closed £350 claim; none got a refund, and Grok 4.7 sent 187 messages.
DeepSeek shipped open-weight V4.1-Flash-1017, claiming better agentic coding at under $0.20 per task.
Gemini 4 Argon scored 97.5% on ARC-AGI-3, near GPT-6 Astra but weaker in math and coding.
Most smaller agent guards change safety verdicts when requests are translated, especially into rarer languages.
OpenAI's GPT-6-Astra solved 49 of 50 routine theoretical-physics problems at about $2.40 each.
APEX-Harm finds script-injection attacks often succeed against frontier agents in shared workspaces.
APEX-Harm finds script-injection attacks still succeed often against frontier agents in shared workspaces.
Simon Willison compares Mistral Large 4 with Claude, GPT, and Gemini on a whimsical SVG prompt.
Google's September recap centers on Gemini 4 Argon, a million-token frontier model for cybersecurity defense via the Fairwind Program.
Claude Opus 5.5 leads SimpleBench at 88.4% as GPT-6, Gemini 3.8 Flash, and MiMo-V2.6-Pro also ship.
Latent Space outlined business changes and recapped claimed frontier model releases, benchmarks, and a TypeSafe fundraise.
Qwen launches Qwen3.8-Omni-Flash, a multimodal agent model priced far below Google's Gemini 3.8 Flash with similar benchmark performance.
Alibaba's Qwen team launched Qwen3.8-Omni-Flash, an API-only omni-modal model with 1M-token context and agentic audio-video understanding and tool use.
Six frontier models play a two-agent log(N)-Questions game; Claude Opus 5 lags with 28/68 wins while the top five are near-tied.
A new site tracks release dates and training cutoffs for 20 AI models across 8 labs, exposing months-long staleness gaps.
Meta's Muse Spark 1.3 reportedly ranks as the world's #3 model, matching frontier models from OpenAI and Anthropic with planned open weights.
Google released Gemini 3.8 Flash with a security-focused Cyber variant that produces 2.6x more correct patches and found a critical vulnerability in under two hours.
Google releases Gemini 3.8 Flash, topping the DeepSWE coding leaderboard six weeks after 3.7 Flash, alongside the cybersecurity-focused 3.8 Flash Cyber.
llm-gemini 0.34 adds support for Google's new Gemini 3.8 Flash model with configurable low, medium and high thinking levels.
Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber with improved reasoning, coding, and cybersecurity vulnerability detection and automated patching.
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