News archive.
Earlier AI news and analysis, kept for reference. Current coverage lives in News & Analysis.
DiffusionGemma hits 1,000 tokens/sec on H100, cuts real-time AI latency
Google DeepMind's parallel text generation model runs on NVIDIA GPUs with up to 1,000 tokens per second. Developers get Day 0 support across local and production hardware—here's how to deploy.
Cohere's 30B Coding Model Matches 120B Rivals on agentic Tasks
North Mini Code, a sparse mixture-of-experts model with 3B active parameters, scores 33.4 on Artificial Analysis' Coding Index, outperforming much larger open-source models. Available now under Apache 2.0.
Seven ASR models tested on bilingual speech — Scribe V2 and Gemini 3 Flash lead
ServiceNow benchmarked frontier ASR systems on code-switched speech across four language pairs. ElevenLabs Scribe V2 topped transcription accuracy; Gemini 3 Flash excelled at preserving meaning for downstream tasks.
Read PyTorch traces to spot where your model wastes GPU time
Hugging Face shows how to profile nn.Linear and MLPs using PyTorch's built-in tracer. Learn why compile helps stacked ops but not single layers, and how to read kernel names.
Google DeepMind picks 15 European robotics startups for 3-month AI accelerator
Google DeepMind is backing 15 early-stage robotics companies across Europe with mentorship, AI models, and technical support. The cohort tackles healthcare, manufacturing, waste sorting, and ocean monitoring.
Google's Gemma 4 12B Runs Multimodal AI on Your Laptop
DeepMind shipped a 12-billion-parameter model with audio and vision support that fits in 16GB of RAM. No separate encoders, lower latency, and open-source weights: here's what works and what remains unproven.
Gemini 3.5 Live Translate hits 70 languages with seconds of latency
Google's new speech-to-speech model detects languages automatically and preserves speaker tone in near real-time. Rolling out to Google Meet, Translate, and developer APIs this month.
DeepMind funds $10M multi-agent AI safety research push
Google DeepMind and four partners launch a global research call to study how millions of independent AI agents will interact safely. Proposals due August 8, 2026.
DeepMind DiffusionGemma hits 4x faster text generation on GPUs
DeepMind's 26B Gemma model generates 256 tokens in parallel instead of one-by-one, reaching 1000+ tokens/sec on H100s. Built for local inference and interactive editing—but quality trails standard Gemma 4.
Anthropic admits guardrail tradeoff in new model
Anthropic acknowledged making 'the wrong tradeoff' in safety controls for its latest model. The company is weighing strictness against usability — here's what that means for Claude's behavior.
Anthropic releases new frontier model to public after private rollout
Anthropic has made its latest AI model available to the general public, two months after a private launch that drew Wall Street attention. Here's what shipped and who it affects.
Anthropic Releases 'Safe' Mythos Model for Wider Deployment
Anthropic has released a version of its Mythos AI model designed with safety constraints built in. The move signals a shift toward making frontier models available for production use while maintaining guardrails.