Anthropic's revenue rose 14-fold in a year, with a $200B target for 2028
Anthropic told investors it generated more than $11.5 billion in second-quarter revenue. The company projects revenue of $190-200 billion for 2028.
Anthropic told investors it generated more than $11.5 billion in second-quarter revenue. The company projects revenue of $190-200 billion for 2028.
Anthropic's safety report says the internal system filtering biological and chemical weapons risks was inactive for nearly a year, letting 133 million interactions through unfiltered.
OpenAI shut down its Preparedness team, which assessed whether the company's own models could pose catastrophic risks. The work was parcelled out and several safety staff left.
Apple is reported to have developed a large language model specific to the Chinese market together with Alibaba, and has registered the service with China's regulator.
Publisher and internet pioneer Tim O'Reilly argues that the big AI labs are building an architecture that locks users in, and that real innovation will come from open source.
Energy research firm Noreva forecasts that natural gas prices could triple in parts of the US. Four large companies are planning gigawatt-scale gas plants.
A self-represented plaintiff in Connecticut hid invisible AI instructions in his filings as 3-point white text on white. The judge noticed the unusual whitespace.
An eval harness surfaced a pattern qualitative review had missed: AI models display their highest confidence precisely when their answers are wrong.
AI coding startup Cognition is reportedly in talks for a new round at a $40 billion valuation, only months after its previous raise.
Apple is reportedly talking to publishers about paying for current news to feed Siri. According to the WSJ, the company has considered a nine-figure budget.
Google is adding Gemini-based AI summary and reporting tools to its Ads and Analytics platforms. The new tools aim to speed up performance insights and enable benchmarking.
A leaked Accenture meeting recording shows token consumption is driven by non-engineers, not engineers. One of the biggest cost items is converting PDFs into text.