You literally can't control the proliferation of open models made outside your jurisdiction.
this post was submitted on 05 Aug 2026
69 points (93.7% liked)
Technology
86918 readers
3967 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 3 years ago
MODERATORS
Good? Let these incompetent corrupted boomers not touch it?
This feels like regulators preparing for the last AI race instead of the next one. If open weight AI keeps improving outside the biggest labs, excluding them from review may reduce paperwork without reducing risk. Policy that only slows one side rarely stays effective for long.
The federal government has a vested interest in promoting open-weight AI. Closed AI ecosystems can limit how the government can use them.
Exactly! A government that depends entirely on proprietary AI is ultimately dependent on a handful of private companies. Open weight models offer more flexibility: agencies can self host, audit, modify and switch providers without being locked into a single vendor. That’s a strategic advantage, not just a technical preference.
The other issue is enforcement. If somebody releases a weights table on the web publicly, by the time the government can review it thousands of people could of seen it and saved a copy of it. You can track down the first person and say take it down but you can't track down everyone. It's like the dvd encryption number from the early 2000s. Why waste the resources?