

Daniel May
1.9K posts

@danielrmay
Applied AI infrastructure & governance. Looking into user-owned memory, local inference and Elias Thorne. ex-Riot, Amazon. Writing @ https://t.co/p2xoFqUeER



I really hate this on multiple levels. It feels deceptive to take a model, give it a corporate brand identity and then try to hide the underlying model. This is like turning up to work and seeing your roommate wearing a false moustache pretending to be someone else.




When I first started at X, this is one of the things I did a deep dive on because I felt it was critical to the integrity of the experienced. I tasked our Threat Disruption team to investigate a number of trends that seemed artificial. The findings: We could not find meaningful examples of foreign interference in US policy discussions, except people gaming rev share in developing countries. This is what motivated the release of the Country of Origin feature and significant changes to the rev share algorithm. The most deranged & divisive replies generally were from residential IPs in the United States—with no signs of using a VPN. Ultimately, X is a reflection of the internet. And that means you will see the full spectrum of human thought. And sometimes the most outrageous takes will catch fire. Having said all of this, there can still be cases of narratives being boosted but the origin of the initial post is almost always domestic and we have hardened our systems in the last 3 months to prevent this.

744B parameters. On a laptop. With 25GB RAM. Colibri runs GLM-5.2 (744B MoE) in pure C with zero dependencies. The trick: only ~40B params activate per token, so it keeps the dense part resident and streams experts from disk on demand. A single 2,400-line C file. No GPU, no BLAS, no Python at runtime. This shouldn't work. But it does. ⭐ 2.1K #AI #OpenSource github.com/JustVugg/colib… Follow for daily dev finds 🔔
