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Google will invest as much as $40 billion in Anthropic

Google will invest at least $10 billion in Anthropic, and that amount could rise to $40 billion if Anthropic meets certain performance targets, Bloomberg reports. The investment follows Amazon’s $5 billion initial investment in Anthropic a few days ago; the Amazon deal also leaves the door open to further investment based on performance. Both investments value […]

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Reversing enterprise security costs with AI vulnerability discovery

Automated AI vulnerability discovery is reversing the enterprise security costs that traditionally favour attackers. Bringing exploits to zero was once viewed as an unrealistic goal. The prevailing operational doctrine aimed to make attacks so expensive that only adversaries with functionally unlimited budgets could afford them, thereby disincentivising casual use. However, the recent evaluation by the

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Anthropic gets $5B investment from Amazon, will use it to buy Amazon chips

Amazon has significantly boosted its multibillion-dollar bet on Claude developer Anthropic by investing an additional $5 billion—enabling Anthropic to eventually secure up to 5 gigawatts’ worth of AI chips from Amazon to help train and run its popular Claude AI models. Amazon is already one of Anthropic’s largest investors, having previously invested $8 billion in

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Claude Pro Max 5x Quota Exhausted in 1.5 Hours

Claude Pro Max 5x quota draining in 90 minutes? Here’s what’s happening with cache tokens, rate limits, and what Anthropic needs to fix. The post Claude Pro Max 5x Quota Exhausted in 1.5 Hours appeared first on 1redDrop.

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UK gov’s Mythos AI tests help separate cybersecurity threat from hype

Last week, Anthropic announced it was restricting the initial release of its Mythos Preview model to “a limited group of critical industry partners,” giving them time to prepare for a model that it said is “strikingly capable at computer security tasks.” Now, the UK government’s AI Security Institute (AISI) has published an initial evaluation of

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AI on the couch: Anthropic gives Claude 20 hours of psychiatry

The AI company Anthropic released a 244-page “system card” (PDF) this week describing its newest model, Claude Mythos. The model is “our most capable frontier model to date,” the company says, and supposedly is so good that Anthropic has decided “not to make it generally available.” (The company claims that Mythos is too good at

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Anthropic limits access to Mythos, its new cybersecurity AI model

Anthropic has launched a new cybersecurity AI model to a select group of customers, including Amazon, Apple, and Microsoft, days after details about the project were leaked online. Its new model Claude Mythos Preview would be available only to vetted organisations, including Broadcom, Cisco, and CrowdStrike, Anthropic said on Tuesday. The company added it was

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ai in Academic Writing

The Best AI-Driven Market Intelligence Platforms for Institutional Investors

This article explores the leading AI-driven market intelligence platforms transforming how institutional investors analyse and act on real-time information. It highlights providers like Permutable AI, RavenPack, and Accern, explaining their strengths and use cases. Aimed at hedge funds, asset managers, and banks, it shows how to build a modern intelligence stack for faster, smarter investment decisions.

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Here’s what that Claude Code source leak reveals about Anthropic’s plans

Yesterday’s surprise leak of the source code for Anthropic’s Claude Code revealed a lot about the vibe-coding scaffolding the company has built around its proprietary Claude model. But observers digging through over 512,000 lines of code across more than 2,000 files have also discovered references to disabled, hidden, or inactive features that provide a peek

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How did Anthropic measure AI’s “theoretical capabilities” in the job market?

If you follow the ongoing debate over AI’s growing economic impact, you may have seen the graphic below floating around this month. It comes from an Anthropic report on the labor market impacts of AI and is meant to compare the current “observed exposure” of occupations to LLMs (in red) to the “theoretical capability” of

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