Scientists have transformed an AI transformer model into a fully functional computer by embedding a WebAssembly interpreter directly into its weights, enabling real C programs to run token-by-token with 100% accuracy on complex problems — no external tools required.
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.
NVIDIA CEO Jensen Huang declares AI infrastructure the largest buildout in human history, requiring trillions in investment across a five-layer stack of energy, chips, infrastructure, models, and applications, as open source models accelerate adoption and industries from drug discovery to robotics begin generating measurable economic value.
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.
Nvidia doubles down on a high-stakes bet, announcing a multiyear partnership and major investment in AI startup Thinking Machines — valued at over $12 billion — even as the company faces internal turmoil including the firing of its CTO and multiple employee resignations.
NVIDIA is partnering with Thinking Machines Lab in a major multiyear deal to deploy at least one gigawatt of next-generation Vera Rubin AI systems by early 2027, with a significant financial investment aimed at advancing frontier AI model training and expanding AI access for enterprises, researchers, and the scientific community.
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.
Google launches Gemini Embedding 2, its first natively multimodal embedding model, capable of processing text, images, video, audio, and documents together in a single unified space across 100+ languages, now available in public preview via the Gemini API and Vertex AI.