
OpenAI’s Jalapeño AI Chip Beats Nvidia Blackwell
Early inference tests show major efficiency and latency gains, but production scale and realistic agent workloads remain important tests.
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Early inference tests show major efficiency and latency gains, but production scale and realistic agent workloads remain important tests.
Five practical ways to shrink your AI bill without sacrificing agent quality, from prompt caching and model routing to smarter retrieval and…
Google releases Multi-Token Prediction drafters for Gemma 4, tripling output speed without any degradation in reasoning quality or accuracy.
Google Research trains a compact diffusion retriever to generate diverse search slates without running an expensive reasoning LLM for every query.
Alibaba’s unified generator and editor adds transparent RGBA output and ten-image conditioning, but its research license limits commercial use.
Ollama's latest release lets you swap Anthropic's inference for powerful open cloud models inside Claude Cowork and Claude Code, with a single…
OpenAI’s faster Astra-derived models target high-volume work, but the discount uses GPT-5.6 promotional pricing as its comparison point.
A lightweight open source proxy routes Claude Code's API calls to NVIDIA's free inference tier, giving developers 40 requests per minute at…
OpenAI’s new personalization feature studies connected emails, chats, and files, then applies those writing habits to future drafts across Work.
Sam Altman’s conditional compute cap addresses real safety risks, but it fails unless China and every other frontier power can be verified.
An undocumented macOS setting can redirect dictated prompts, expose authentication material, and turn Muse’s approved app access into an attacker’s tools.
Google’s third Flash release in 43 days adds stronger coding, longer agent loops, and a restricted cybersecurity model for trusted defenders.
OpenAI’s desktop coding agent can use local or Ollama Cloud models while retaining browser annotations, code reviews, and isolated worktrees.
NVIDIA's new open LLM unifies vision, audio, and language in a single 30B-parameter model that delivers 9x higher throughput than competing open…
The 27B dense model favors practical deployment, while the 2.4-trillion-parameter MoE brings Qwen’s largest foundation model to self-hosted infrastructure.
Bonsai Image 4B compresses a 4B diffusion transformer by up to 8.3x, making on-device image generation a practical reality for the first…
Anthropic says Claude accelerated 36 biomolecular tools, released the code, and will test the practical payoff across more than 5,000 proteins.
The 552B open-weight multimodal model activates 8B parameters for input, 16.7B for output, and shrinks agent cache requirements.
The 320B-A18B open-weight model pairs native multimodality with a one-million-token context window and unusually low API prices.
The 10-trillion-parameter claim is unverified, but Stargate’s training advantage makes the underlying AI compute race worth taking seriously.
One month after a limited preview, OpenAI's frontier models and Codex coding agent are now fully available on AWS, giving enterprises a…
Open models have closed most of the GPT-class gap on everyday agent work, but proprietary systems still win on hard reasoning, and…