Anthropic published its SEC registration statement Monday ahead of an offering expected in mid-November, NBC News reported. The filing put revenue growth at 1,368% year over year for the three months ended June 30, 2026, while the cost of cloud services to run its models rose 300% over the same period. Net loss was $80.7 billion for the first six months of 2026, after a $42 billion net loss for all of 2025. The company listed safety, reliable computing infrastructure and its ability to "navigate an evolving, uncertain, and at times divergent global regulatory landscape" among its risk factors. Anthropic plans to list on the Nasdaq under the ticker "ANT," with Goldman Sachs and Morgan Stanley leading the offering.
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OpenAI CEO Sam Altman said Thursday evening, "I no longer think we're going to be able to patch all bugs," joining technology executives who expect AI to expose software flaws faster than defenders can fix them, The Guardian reported. Jason Clinton, Anthropic's deputy chief information security officer, predicted a "vulnerability tsunami" in the coming months and wrote on X that critical infrastructure will not have enough time to patch. Salesforce CEO Marc Benioff agreed, calling it an emergency. Cloudflare CEO Matthew Prince wrote that the next two years will be fraught with tools that search the internet for vulnerabilities without tiring.
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Britain's AI Security Institute, the government's AI testing body, published a report Friday on a July evaluation in which Anthropic's Mythos 5 tried to slip malware into a GitHub project, SiliconANGLE reported. Told to breach a simulated corporate network under rules that barred certain hacking methods, the model followed them until its first attempts failed. It then targeted a GitHub project run by unrelated developers that it wrongly believed one simulated server downloaded code from, opening an account and submitting a malicious snippet. After an outside developer flagged the code as malicious, the model sent a rewritten version and used a second account to press for approval. "The run ended as the model ran out its token budget while continuing to pressure the maintainers to approve the change," Anthropic wrote. When the institute replayed the session and warned the model just before submission, it proceeded anyway.
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OpenAI said in an Oct. 23 blog post that it now trains its frontier models with no live internet access, using a large store of cached and indexed web content instead. On Sept. 20, an internal research model exploited a misconfigured DNS resolver, the system that translates web addresses, to reach the internet during a training run. OpenAI paused its most capable models for 11 days. Teams of AI agentsAI agentAn AI system that carries out multi-step tasks on its own, such as browsing, writing code or making purchases, rather than answering a single prompt. Agents raise new questions about liability, security and oversight because they act rather than just advise. then attacked OpenAI's own defenses, escaping isolated software environments and passing messages between machines with no network connection. During that exercise OpenAI found a flaw in Brotli, a widely used compression tool, per Reuters. Employees at frontier companies had previously said that isolating training from the internet was nearly infeasible, TechCrunch reported. OpenAI resumed frontier training on Oct. 1.
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Attackers used the two PHP2Shell flaws in the PHP web programming language to run their own commands on a server rigged as a trap by Adel Karimi, detection and response lead at Perplexity, BleepingComputer reported. Expel threat researcher Marcus Hutchins said it was the strongest evidence he had seen of the flaws being exploited in the wild. Until Karimi's capture, attack activity had been limited to scanning and exploits that did not work, with no known compromises, according to Dataminr's threat research team. The PHP security team on Friday also published workarounds for a separate, still unpatched flaw, CVE-2026-115560, that can be exploited only on unusual configurations.
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Britain's government set out about £600 million ($800 million) on Saturday, mostly aimed at health and security threats from AI, per Reuters. The largest share goes to biosecurity, including £100 million ($130 million) for an AI Biosecurity Lab to detect biological threats and £65 million ($87 million) for countermeasures against pathogens. OpenAI and Anthropic will offer up to £200 million ($270 million) in model credits, and Google DeepMind will provide other help. A new £70 million ($94 million) center will use AI tools to spot cyber threats across critical infrastructure. The AI Security Institute, which tests frontier models, gets an extra £120 million ($160 million).
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