Fine-tuning adapts a pretrained AI model by continuing its training on a smaller, targeted dataset. The added examples can teach specialized terminology, a preferred response format, a new classification task, or behavior suited to a particular organization or domain. Updating all parameters may require substantial computing power, while parameter-efficient techniques modify only a small portion of the model or add lightweight trainable components. Fine-tuning can improve consistency and reduce the need for lengthy prompts, but it does not automatically provide current facts or eliminate errors. Dataset quality, privacy, licensing, evaluation, and safeguards remain essential. Teams should compare the result with prompting or retrieval-based alternatives, monitor performance outside the training examples, and retain a path for correcting unwanted behavior.
NVIDIA has formed the Open Secure AI Alliance with Microsoft, IBM, Palantir, CrowdStrike, and more than 35 other organizations to build open-source defenses for AI agents and software.
NVIDIA is reportedly in advanced talks to provide a roughly $250 billion financing guarantee for a vast OpenAI data center in Ohio, potentially helping the ChatGPT maker secure better terms for one of the largest AI infrastructure projects ever proposed.
Ethereum’s Vitalik Buterin argued the gravest AI risk is not rogue superintelligence but a few companies or governments seizing control of it, in a widely shared thread on AI’s future.
Anthropic has disabled Claude Fable 5 and Claude Mythos 5 globally after a U.S. government export-control directive restricted access to the models for foreign nationals, prompting the company to challenge the decision publicly.
OneSoil has partnered with Rainbow Weather to bring hyperlocal AI-powered rainfall forecasting to farmers worldwide, helping improve field operations and reduce weather-related losses.
OpenAI has launched GPT-5.5, a new flagship model designed for coding, computer use, knowledge work, and scientific research, with stronger performance, lower token usage, and broader real-world autonomy than GPT-5.4.
AI startup Recursive Superintelligence has raised $500 million from Nvidia and GV to pursue self-improving AI systems, despite having no public product.
LinkedIn is testing a new platform that lets users earn up to $150 per hour training AI models. The move taps into fast-growing demand for human feedback in AI.
Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.