this post was submitted on 15 Apr 2025
1487 points (95.9% liked)
memes
14346 readers
2884 users here now
Community rules
1. Be civil
No trolling, bigotry or other insulting / annoying behaviour
2. No politics
This is non-politics community. For political memes please go to [email protected]
3. No recent reposts
Check for reposts when posting a meme, you can only repost after 1 month
4. No bots
No bots without the express approval of the mods or the admins
5. No Spam/Ads
No advertisements or spam. This is an instance rule and the only way to live.
A collection of some classic Lemmy memes for your enjoyment
Sister communities
- [email protected] : Star Trek memes, chat and shitposts
- [email protected] : Lemmy Shitposts, anything and everything goes.
- [email protected] : Linux themed memes
- [email protected] : for those who love comic stories.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Entirely agree with that. Except to add that so is Dario Amodei.
I think it’s got potential, but the cost and the accuracy are two pieces that need to be addressed. DeepSeek is headed in the right direction, only because they didn’t have the insane dollars that Microsoft and Google throw at OpenAI and Anthropic respectively.
Even with massive efficiency gains, though, the hardware market is going to do well if we’re all running local models!
Alibaba's QwQ 32B is already incredible, and runnable on 16GB GPUs! Honestly it’s a bigger deal than Deepseek R1, and many open models before that were too, they just didn’t get the finance media attention DS got. And they are releasing a new series this month.
Microsoft just released a 2B bitnet model, today! And that’s their paltry underfunded research division, not the one training “usable” models: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
Local, efficient ML is coming. That’s why Altman and everyone are lying through their teeth: scaling up infinitely is not the way forward. It never was.