Alex Olsen

lovely conversation & worth your time. why it’s interesting to me is that a lot of jeremy’s ideas can be reduced to basic economics. e.g. why is the billionaire class potentially suddenly subservient to the poaster class? & why the hell would a dumb poaster inherit the priesthood? simple, cuz you can’t buy the damn position. there is no clean market for it. & more importantly the moment there is a transaction, everyone can see what happened. the poaster who joins the big lab is now inside the cap table, inside the hierarchy if you will, & ultimately inside the billionaire’s cathedral (there are many examples). trusted voices are scarce here, so their value continuously compounds. more good posts, more followers, more prominence, more social capital, & so on. if the dollar is a commodity, the post is the exact opposite. someone besides elon will eventually figure out how to become both billionaire & poaster, that kinda feels inevitable at this point.

Big day for Ollama! When we started, open models and the open source AI ecosystem were in their early days with few believers. Our belief in open source has never wavered. With today's fundraising announcement and our 9M+ active builders, we’re ready to scale open models into AI that you can own. All aboard open models! 🧵

My feed has been hijacked this week by frontier model influencers who say they've had 5.6 Sol and Fable for "months". I think this tells an inaccurate story the field. From the outside it makes AI progress feel like a spectator sport where a small group gets the model early and everyone else waits, then we all accept whatever price these labs decide to charge. I get excited about releases like this one between us and NVIDIA because they show how the pace of AI development is NOT just decided by the release cadence of SOTA models. Together we tuned our open Deep Agents harness for Nemotron 3 Ultra and scored 0.86 on our eval suite for $4.48... the next closest model by performance cost almost 10x more, $43.48. So amid all the closed model hype, remember that open models are rapidly improving and so are the systems that let us to maximize their performance. To me this is what democratizing AI looks like, because devs gain control over the systems they are building, agent progress doesn't wait on a handful of labs, and teams are given better options than to get financially rinsed for perf gains that aren't necessary for their agents to succeed.

We're continuing to work hard to make OpenWiki better and better! v0.0.3 just launched with a lot of improvements. What do you want to see next?

GLM-5.2 plugged into Claude Code with two environment variables and a HF token. the harness stays, the model swaps. any team that locked into Claude API for the harness quality can now route the actual coding to an open-weights model.