Causal language modeling, abbreviated CLM, is a training objective in which a model predicts the next token from tokens that came before it. A causal attention mask prevents information from later positions from leaking into each prediction. Repeating this task across large text collections teaches an autoregressive model statistical patterns of language, knowledge associations, and ways to continue a sequence. At inference time, the model generates text token by token using the same left-to-right dependency. CLM differs from masked language modeling, which hides selected tokens inside a sequence and uses surrounding context on both sides. The objective supports open-ended generation but does not guarantee factual or intentional understanding.
The FBI, NSA and CISA jointly accused six Chinese AI companies of systematically distilling US models including Claude and ChatGPT since 2024, calling it their core development strategy.
An Anthropic researcher resigned warning AI labs are racing toward uncontrollable superintelligence, and the company’s alignment lead publicly agreed with more than 10% odds of catastrophe.
Meta launched Muse, a personal AI agent that browses, shops and negotiates on a user’s behalf, built around an isolated “Secure VM” and a permission-gatekeeping Sentinel system.
OpenAI has launched ChatGPT Images 2.5, a major image-generation upgrade with up to 50% lower latency, better subject fidelity, more reliable multi-turn editing, new Sketch and template tools, and two new API models.
Qualcomm shares rose about 10% after the company announced a multi-generation deal to build custom AI inference chips and optical networking for Amazon’s data centers.
Accenture and Google Cloud formed a dedicated Gemini Enterprise Business Group with a 1,000-engineer workforce, deepening a partnership already used by clients like YouTube.
Rentosertib, an AI-designed lung disease drug, showed signs of lowering biological age in a small trial analysis, though scientists caution the effect could reflect a treated lung, not slower aging.
Geoffrey Hinton warned that losing control of superintelligent AI could lead to human extinction, as UK lawmakers prepare to debate a bill banning its development.
Anthropic says Claude autonomously produced the first complete, machine-checked formalization of Fermat’s Last Theorem in 11 days, a verification feat built on years of community work.
Meta’s new Muse Spark 1.3 model charges up to 95% less if developers let the company train future models on their prompts, the clearest price-for-data trade a major AI lab has published.