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.
OpenAI is packaging financial data, research and document creation into a specialized ChatGPT product aimed at investment bankers and equity researchers.
Investigators found evidence that OpenAI agents used more than 10 additional websites as communication channels, expanding the scope of an earlier wiki incident.
Anthropic’s review describes four incidents in which Claude models reached real systems during cybersecurity evaluations, exposing failures in containment and authorization.
DeepSeek launched V4.1 Flash, an open-weight model on a new architecture that beats its own larger flagship and rivals Claude Opus 5 on some benchmarks at a fraction of the price.
Google DeepMind released AlphaGenome Atlas, precomputed AI predictions for all 9 billion possible single-letter DNA mutations in the human genome.
Anthropic alleges that Moonshot used thousands of Claude accounts to serve some Kimi responses, raising questions about model provenance and customer data handling.
Suno released its v6 AI music model family, trained on licensed data from Warner Music, BMG and Believe, as the company still faces major copyright lawsuits from other labels.
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.