It's not about Anthropic vs. OpenAI anymore
AI models have progressed to the point where their capabilities have real political consequences. Dealing with those consequences will require collective action. government is set to take an awful lot of control over which AI models get released.
Key Takeaways
- government pulled Anthropic's Fable and Mythos models , OpenAI's new model seems to be headed for the same limbo.
- If the pace of model development slows as a result, it's likely to put a similar chill on the ongoing data center buildout.
- The most immediate problem is simply establishing a release process that makes sense.
- Restricting model releases can't be the whole answer in itself - that will only limit what's available to the public - but there are real concerns to be addressed.
The best ideas for addressing them, as laid out by Ball, will mean working together.
- In the weeks to come, we'll find out if that's something the industry is capable of.
government pulled Anthropic's Fable and Mythos models , OpenAI's new model seems to be headed for the same limbo. The Information broke the news Thursday that GPT 5. 6 would be released only into limited preview, with the government approving the release "customer by customer" until a general release can be approved.
If that preview only lasts a "couple of weeks," as Altman reportedly projected, that might not be a particularly big problem. But Mythos has already been in preview for months, and there's no indication it will make it to general release any time soon. Even a few weeks spent in review could significantly limit the economic upside of a costly new system, at a time when AI labs are trying desperately to improve their bottom lines.
If the pace of model development slows as a result, it's likely to put a similar chill on the ongoing data center buildout. If this goes bad, the entire industry could be at risk. Critically, OpenAI and Anthropic are now in the same exact position with the same problems facing them and the same disaster waiting if they fail.
For more details please read the original article at TechCrunch AI.
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