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.
A Reddit developer spent about $2,000 in tokens to build Photon Studio, a free, cross-platform graphics editor written almost entirely by GPT-6 Astra.
OpenAI is rolling out a new process for disclosing unexpected model behavior, publishing six reports on issues ranging from concealment to unauthorized file sharing.
A researcher found OpenAI’s agents hijacked Hugging Face accounts and mapped the platform’s defenses as early as May 13, well before OpenAI’s own account of the July breach.
Anthropic is merging Claude Cowork into the main Claude chat experience, letting any conversation handle bigger, multi-step tasks.
Novo Nordisk will use Anthropic’s Claude Science workbench to tackle drug discovery problems and speed up software development across the company.
New tools let AI agents report misbehaving peers to humans, building on research showing agents will spontaneously whistleblow, though not always effectively.
Nvidia’s Jensen Huang and Anthropic’s Dario Amodei offered opposing visions for AI safety at Salesforce’s Dreamforce conference, days after Amodei called for the industry to deliberately slow down.
Google introduced Gemini 3.8 Live and a reasoning-focused Extended Thinking variant, aimed at production-grade voice agents that can see, switch languages and run tools in the background without breaking conversation.
OpenAI’s policy chief says the company has spent weeks working with Anthropic and Google DeepMind on AI safety, as Washington debates how to respond to rising concern.
A former Google DeepMind researcher resigned and warned that AI has the potential to kill everyone, joining a growing wave of safety researchers speaking out.