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OpenAI CEO Sam Altman says AI models are finding security flaws outside the usual hacker threat model, including hardware-level bugs. He no longer thinks software can be fully patched to keep up.
- Altman says models can surface bugs beyond what anyone normally assumes an attacker could exploit.
- He describes some of the findings as hardware-level, a category that is much harder to fix with a software update.
- His conclusion is that patching every bug is no longer a realistic goal, which shifts security toward assuming flaws will remain.
OpenAI CEO Sam Altman accused Anthropic of using scare tactics to hype its new Mythos cybersecurity model, likening it to selling a bomb shelter after building a bomb. He argued that fear-based marketing keeps AI tools in the hands of a select elite and noted that such hype is common across the industry.
- Altman accused Anthropic of "fear-based marketing" for restricting its Mythos cybersecurity model to select enterprise clients, comparing it to selling a bomb shelter after building the bomb.
- He argued this hype tactic keeps advanced AI tools in the hands of a privileged few and isn't unique to Anthropic—most AI vendors, including OpenAI, use similar risk hyperbole to drive demand.
- Critics say Mythos's threat is overstated, noting real-world hacking still relies mainly on human actors and simpler tools, and testers haven't seen results beyond existing hacking software.