Open model providers will largely lose if they keep chasing closed frontier AI models; instead, open models should serve as complementary tools to closed agents
Markets, capabilities, cope, and bewilderment in the industrialization of language models. — Article voiceover
TLDR: Thinking open models will win on absolute performance is more than just cope, it's holding the open ecosystem from building into something that's different, better, and far more influential at the frontier of AI. Eg Open models can be tools and compliment the best agents.
What comes next with open models. — The futility of chasing the frontier, the change from weights to systems, the reasons no good business model exists, and how to change from a few weights to a dynamics ecosystem. — A long read on my vision for the future. — www.interconne…
Go read @natolambert.bsky.social's latest post. (www.interconnects.ai/p/the-next- p...) Very smart and sobering about the challenges/opportunities ahead. Open intellectual commons is not going to happen automatically. [image]
Contrary to what people think @part_harry_ and I believe about open-source, we know there will always be a place for really large, general models (some of which will be closed-source). A lot of inference volume will come from having many different specialised subagents for
just had this discussion with @3un01a about his takeaways from @PrimeIntellect day the open source ecosystem is actively widening the distribution of tasks that can be tackled with envs + harnesses, far broader than any incumbent can do with things like openclaw and