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The major AI labs are moving toward a shared standard for web scraping controls. Google has joined OpenAI, Anthropic, and Microsoft in pledging support for a common robots dot txt signal that would let website owners block their content from being used in AI training. It is a notable show of alignment from companies that rarely move in lockstep, though critics will rightly ask how enforceable any voluntary pledge can really be.
Meanwhile, security researchers at Parameter AI say they successfully took over ChatGPT user accounts, exposing what they describe as a gap in OpenAI's authentication infrastructure. Details are still emerging, but the claim underscores a persistent tension in the AI industry between shipping products at speed and hardening them against the kind of targeted exploitation that affects millions of everyday users.
On a lighter but genuinely impressive note, a new speedrun record has been set for training NanoGPT, with a system called ANVIL II completing the benchmark in under forty seconds. Training efficiency has become one of the quieter battlegrounds in AI development, and shaving time at this scale, even on a small model, points to optimizations that could eventually matter at much larger ones.
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