Import AI 421: Kimi 2 - a great Chinese open weight model; giving AI systems rights and what it means; and how to pause AI progress

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Want to stop or slow AI progress? Here's what you need:
…MIRI enumerates the option space…
Researchers with MIRI have written a paper on the technical tools it'd take to slow or stop AI progress. For those not familiar with MIRI, the organization's leaders are shortly publishing a book called "If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All", so that should tell you where they're coming from as an organization. Though people have a range of views on this, I think it's very helpful to dispassionately look at what would be required to achieve a goal like this, which is what the researchers do here.

So, you want to stop AI progress? Here's how: Here are the different categories you need to do work in and some of the capabilities you'll need:

• Chip location: Track shipments via manufacturers and distributors; include hardware-enabled location tracking; centralize compute in a small number of secure and registered datacenters; inspect datacenters containing non-trivial amounts of compute; continuously monitor these datacenters.
  

• Chip manufacturing: Monitor for the construction of new fabs; restrict/control the equipment and materials; spy on and inspect fabs to ensure they're producing in line with policy restrictions; be able to verifiably deactivate fabs; be able to validate that fabs can make on-chip hardware-enabled governance mechanisms.
  

• Compute/AI monitoring: Create 'if then' measures to let you change your governance of a system depending on its capabilities; figure out compute thresholds for different governance regimes; keep track of consumer compute sales as well; build 'inference-only' hardware that can't be used for AI training.
  

• Non-compute monitoring: Tell companies to report specific capabilities; ensure you can do third-party and/or government evaluations of AI models; be able to inspect what happens at AI labs or other AI developers; place people inside AI organizations to audit them; create 'automated auditors'; use espionage to figure out what is going on in the private sector; protect whistleblowers who work at AI organizations.
  

• Avoiding proliferation: Ensure model weights are hard to steal; ensure algorithmic secrets are hard to steal; mandate 'structured access' (e.g., API-mediated) access to AI systems; limit the release of open weight models with powerful capabilities; tie models to hardware so they can only run on certain compute substrates;

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