Nvidia launches Nemotron 3 Super, a 120B parameter open AI model with a 1 million token context window that outperforms OpenAI, Google, and Amazon on key benchmarks, while pledging $26 billion to open-source AI development over the next five years.
Nvidia commits $26 billion over five years to develop open-weight AI models, positioning itself as a direct competitor to OpenAI, Anthropic, and DeepSeek in a major strategic shift beyond its dominant role in chip manufacturing.
AI coding tools are dramatically closing the performance gap in software engineering, boosting struggling teams' delivery speed by nearly 50%, yet top performers still dominate — shipping software in under 22.5 days compared to over 62 days for bottom-tier teams, as experts predict AI will fundamentally reshape team structures worldwide.
GitHub launches its Copilot SDK, giving developers direct access to the same production-tested agentic AI engine powering GitHub Copilot, enabling autonomous multi-step task execution, tool invocation, and file modification inside their own applications without building custom orchestration stacks.
Yann LeCun's new startup AMI Labs secures a record-breaking $1 billion seed round at a $3.5 billion valuation, backed by Nvidia, Jeff Bezos, and others, to develop AI that understands and operates reliably in the physical world — though experts warn the technology is complex, high-stakes, and a longer-term investment.
Yann LeCun launches Paris-based AI startup Advanced Machine Intelligence, raising over $1 billion at a $3.5 billion valuation to build world models grounded in physical reality, challenging the dominance of large language models and targeting industries like manufacturing, robotics, and biomedical with open source AI solutions.
A viral Forbes claim that Anthropic loses $5,000 per Claude Code Max user is misleading, as actual compute costs are estimated at just $500 — and on average, Anthropic is likely profitable on most Claude Code subscribers, with typical developers costing only $18 per month to serve.
Tencent AI Lab launches Penguin-VL, a compact vision-language model that ditches traditional visual encoders in favor of a text-LLM-initialized architecture, delivering stronger fine-grained visual understanding and efficient long-video processing, with two model variants now live on Hugging Face.
Apple's M5 Max MacBook Pro, with 128GB unified memory, is enabling developers to run massive 70-billion-parameter AI models locally for free as cloud AI inference costs spiral out of control, with some startups reporting costs tripling in just three months.
Apple's MLX framework now supports the M5 chip's Neural Accelerators, delivering a massive 4x speedup in AI response times and up to 27% faster token generation, powered by the M5's 153GB/s memory bandwidth, enabling MacBook Pro users to run powerful large language models locally with ease.