@MattTrifilo@MrAhmadAwais Its Ad bait. Even with thousands on hardware you'll still end up with pretty much single digit tokens with no chance for multi agent setups.
@pmddomingos What a pile of bullshit. If you know anything about anything cyber then you know this isn't true. You're either an anthropic hater or a retard, maybe equally both.
@fchollet More ppl know this than twitter makes it seem, it's either those who know don't bother vocalizing it or those posts are buried under a megaton of engagement bait and slop posts.
GLM 5.2 is now on DeepSWE as the top open-source model on our leaderboard.
With a pass@1 score of 44% at max effort, GLM 5.2 is indisputable #1 open-source model besting Kimi K2.7 Code by 17%.
What you see when you step outside is not governed by technological advancement or futuristic change, it's governed by bureaucracy and that is stuck in the 1980s era and can even be argued it has regressed.
Wherever bureaucrats have conceded you can immediately see the difference, which is rare.
Google is behind even the Chinese labs in the AI Race (trust me I know how far behind they are), but if you are a gambler you would bet on them for the long run
Easy, because they targeted different users and Anthropic built more focus and gathered momentum around Business/Enterprise and that was mass CEOs PR driving force that fuelled the mainstream news/hype cycles.
Regular users and high quality user experience OpenAI was going after were too sluggish and far too small of a productive user base to feed the media in the same way.
Even now CODEX is behind Claude Code in Enterprise domains, and it sucks because IT IS better.
I spend my days reminding one of the biggest orgs in the world that CODEX is better and GPT is cheaper.
@icanvardar This was predictable over a year ago if you keep an eye on Compute. (They sold most of theirs a long time ago, that's why they are crawling it back by buying from SpaceX)
my GPU has 16GB VRAM and CPU 32GB RAM. damn it!so close! What's worse is every X account promoting local models seem to have a data centre or 2 under their beds π€
GLM-5.2 can now run locally in llama.cpp and Unsloth Studio. Check the graph below for the accuracy of each GLM-5.2-GGUF quantization.
Full guide: https://t.co/ZcSbQk7Aqv