Anthropic PBC today opened access to Claude Opus 4.7, the latest addition to its popular line of large language models. The company says that the LLM is significantly better than its predecessor at ...

This comes shortly after Anthropic launched Claude Opus 4.6 in February. And the model is “less broadly capable” than its most recent offering, Claude Mythos Preview. But at this time Anthropic has no ...

Apple is sending a large portion of its Siri engineers to a multi-week bootcamp to learn to code using AI, reports The Information. Apple's decision to teach its programmers to better use AI for ...

Forbes contributors publish independent expert analyses and insights. Vibe coding, using AI to build prototypes, can be a trap for founders. While empowering, it risks undermining specialist teams, ...

In short: Anthropic has released Claude Opus 4.7, its most capable generally available model, with benchmark-leading scores on SWE-bench Pro (64.3% vs GPT-5.4’s 57.7%), multi-agent coordination for ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. In a ...

In July 2020, 4chan’s video-game discussion board looked much like the rest of the notorious online forum. There were elaborate, libidinal fantasies involving “whores” and “dragon cum,” and comments ...

Companies are scrambling to deal with the glut. Credit...Mojo Wang Supported by By Mike Isaac and Erin Griffith Reporting from San Francisco When a financial services company recently began using ...

AI giant Anthropic launched Claude Sonnet 4.5, its latest large language model, along with a series of updates across its products on Monday. The company says the new model performs better in ...

In this episode of Decoding America, Reged Ahmad and Jonathan Yerushalmy look at Donald Trump’s war of words with the Pope, that AI image and the blowback it has received - especially when seen ...

New Delhi: The AI model race is moving fast in 2026, and companies are now focusing on making models more reliable for real work. Earlier, you had to double-check everything. Now, some models are ...