The vendor’s new agents could find a home in big Wall Street firms, threaten mid-sized service providers and start to push entry-level finance jobs aside.
Code for America is partnering with Anthropic on a new pilot intended to help staffers more efficiently administer public benefits by using an AI-powered tool to make policy information more accessible.
Everyone wants a piece of the enterprise AI pie, and this week, we saw a string of companies making their moves. From Anthropic and OpenAI announcing new joint ventures targeting enterprise AI deployment to SAP dropping $1B on German AI startup Prior Labs, it’s becoming clear that if you’re a startup building enterprise tools, you’re likely an acquisition target. On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony […]
Beijing-based Moonshot AI has raised approximately $2 billion at a $20 billion valuation, led by Meituan’s venture arm Long-Z Investments, with participation from Tsinghua Capital, China Mobile, and CPE Yuanfeng. The round brings total fundraising over the past six months to $3.9 billion, with the company’s valuation having risen from $4.3 billion at end-2025 to […]
The system’s power is comparable to others – but it still has frightening implications for the future of hacking
Last month, Anthropic made a remarkable announcement about its new model, Claude Mythos Preview: it was so good at finding security vulnerabilities in software that the company would not release it to the general public. Instead, it would only be available to a select group of companies to scan and fix their own software.
The announcement requires context – but it contained an essential truth.
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Nadia Piet & Archival Images of AI + AIxDESIGN / AI Am Over It / Licenced by CC-BY 4.0 By Misia Temler, University of Sydney With so many artificial intelligence (AI) products on offer now, it’s increasingly tempting to offload difficult thinking tasks to chatbots, agents and other tools. As we chart this new technological […]
When you type a message to Claude, something invisible happens in the middle. The words you send get converted into long lists of numbers called activations that the model uses to process context and generate a response. These activations are, in effect, where the model’s “thinking” lives. The problem is nobody can easily read them. […]
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