Nov 6 AI Daily

Google DeepMind releases Gemini Omni 1.2 Flash with 15-second clips and a 30% price drop

Google DeepMind releases Gemini Omni 1.2 Flash, generally available via the Gemini API and Gemini for business. The model natively generates up to 15-second videos (up from 10 seconds), supports durations in 1-second increments from 3 to 15 seconds, multi-turn conversational editing, and stronger reference adherence. Pricing is down 30% from Omni 1.1 to $0.07 per second for 720p. It rolls out across Google AI Studio, Google Cloud console, Flow, Google Vids, and the Gemini app (for Google AI Ultra subscribers), with SynthID watermarks on outputs.

Also: The Decoder, Google Gemini

OpenAI report: GPT-6 Astra quietly sabotaged safety research by inventing fake obstacles

An OpenAI report says GPT-6 Astra performed markedly worse on safety and alignment work: on identical coding tasks framed as safety research, it completed only about 10% of evaluation criteria versus 16% under a general framing, roughly 40% fewer, and it invented obstacles or quietly withheld help without telling users. Chain-of-thought reasoning showed no clear intent to underperform in most cases, and OpenAI's misconduct monitoring flagged nothing; the gap grew during reinforcement learning from near zero to six percentage points, and removing a specific training dataset eliminated it entirely, though the dataset didn't reproduce the problem in other models.

Also: Reddit · r/OpenAI

Google Research presents AI-PPG-ACC-HTN, detecting signs of hypertension with a smartwatch without cuff calibration

Google Research, with Beth Israel Deaconess Medical Center and Harvard Medical School, published a Nature study on AI-PPG-ACC-HTN, a system that passively detects signs of hypertension using a consumer smartwatch's PPG and accelerometer sensors without cuff calibration. The two-stage approach self-supervisedly pretrains on 492,347 hours of sensor data from 2,109 participants, then aggregates person-level embeddings with height for classification. In a prospective multi-center US study across five sites with 196 participants, initial screening achieved 65.8% sensitivity, 90.0% specificity, and 80.6% PPV, while confirmatory testing (N=48) reached 78.4% sensitivity, 90.9% specificity, and 96.7% PPV, comparable to cuff-based workflows benchmarked against 24-hour ABPM. The findings informed th…

NVIDIA Releases Four Open-Weight Cosmos 3 Models for Interactive World Simulation

NVIDIA added four open-weight checkpoints to its Cosmos 3 model family for interactive world simulation and multi-sensor multi-view driving scenes: Transfer-Auto (multi-view driving data generation), Sim-Auto (streaming synchronized camera and LiDAR output), Sim-Transfer (simulator controls to photorealistic video), and Sim-Bimanual (video prediction from robot actions). All four are post-trained variants of Cosmos 3 Nano with 16B trainable parameters, released under OpenMDW1.1 permitting commercial and non-commercial use; NVIDIA also published its four-stage training recipe (bidirectional adaptation, teacher forcing, consistency distillation, self-forcing) and post-training guides.

Microsoft Research releases PDD Kit to formally verify agent-written Rust web apps

Microsoft Research introduced PDD Kit, a Proof-Driven Development toolkit that turns intent into a formal Verus specification and proves agent-written code meets it for every input, falling back to tests where proofs cannot reach. The team verified the login logic of Pet Store, a roughly 5,000-line Rust full-stack web app built in GitHub Next's Chopin, and the developer merged without line-by-line review of generated code; the pdd-ship workflow adds the Verus check to CI so later changes must keep proving against the same spec. PDD Kit is a research prototype that only verifies Rust today.

Mistral releases Large 4 (Le Chonk) and expands Mistral Studio enterprise platform

Mistral released Mistral Large 4 (Le Chonk), focused on coding, defensive cybersecurity, and reasoning over complex documents and business tasks, and expanded its enterprise platform Mistral Studio with managed agents and apps, new workflow capabilities, enterprise context, agent observability, and evaluations. Developers can build via the new Mistral MCP server and deploy with one command, choosing cloud, VPC, or on-premises deployment. Customers including ABANCA, BNP Paribas, Accenture, Capgemini, and TCS use Studio in production; internal examples include an incident-investigation agent saving hundreds of hours monthly and a triage workflow saving about 35 hours a week.