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.
Visa, Mastercard, Stripe, Google and 36 others formed a Linux Foundation body to steward x402, an open standard letting AI agents pay for services directly over HTTP.
OpenAI’s new GPT-5.6 prompting guide urges developers to write shorter, outcome-first prompts, saying leaner instructions raised scores 10-15% while cutting tokens and cost sharply.
IBM shares sank about 23% after it warned that preliminary second-quarter results fell short, as clients diverted spending toward memory and servers ahead of price increases.
Google DeepMind CEO Demis Hassabis proposed a US-led standards body to test the most powerful AI models before release and coordinate an industry slowdown if risks mount.
Google unveiled SensorFM, a health AI trained on over a trillion minutes of smartwatch data from 5 million people, that predicts 35 health measures from cardiovascular risk to depression.
Cloudflare launched Precursor, a bot-detection system that watches how visitors move, click and type across a whole session to tell humans from increasingly capable AI agents.
Tencent is in talks to become Manus’s largest shareholder as investors race to reverse Meta’s $2 billion purchase of the AI agent startup, after Beijing ordered the deal undone.
SpaceXAI’s Grok 4.5 tied GPT-5.6 Sol for first on the SWE-Atlas-QnA coding benchmark, a narrow win that highlights the model’s real edge: efficiency and low cost.
A South Korean developer says Anthropic’s billing system tried to charge him $16.6 million despite being on the free plan with zero API usage, one of several billing complaints.
Anthropic extended free Claude Fable 5 access to July 19, its second extension in a week, as OpenAI removed usage caps and made GPT-5.6 Sol cheaper to run.