Public training data is becoming scarce and expensive, forcing large language model providers to compete for proprietary data and thereby exacerbating market concentration.
Sonnet 5 significantly closes the performance gap to the more expensive Opus 4.8 in autonomous agent workloads while addressing existing weaknesses of its predecessor.
Meta is dependent on AI capacity from Google’s Gemini despite the Facebook parent company developing its own language models, and is suffering from throttling due to global computing resource bottlenecks.
A British predictive policing model comprising at least 23 AI models showed no reliable results, highlighting the practical and regulatory limits of predictive policing.
Large Language Models reflect the weightings of their training data – those overrepresented in it, which perspectives are treated as standard, and which viewpoints are absent shape every output of the model.
The US government receives 30 days of advance access to new powerful AI models to benefit from their vulnerability detection, while the tech industry was spared longer exclusivity periods.
Anthropic and the Gates Foundation announce a global $200 million partnership to deploy artificial intelligence in health, education, and economic mobility to support millions of people in lower-income countries.
Anthropic and PwC expand their partnership: Claude will be deployed across hundreds of thousands of PwC employees worldwide to develop technologies and transform business operations, with previous implementations showing efficiency gains of up to 70 percent.
