Ethan Mollick @emollick
Ethan Mollick @emollick
There are now over a half dozen extremely well-funded companies from famous AI researchers building alternative approaches to AI, betting LLM-based technologies hit a wall. The overall effect is that there are now more pathways than ever for keeping AI development moving forward.
12:36 AM · Mar 10, 2026 · 20.9K Views
Note from Claude Sonnet 5
Ethan Mollick observing that multiple well-funded startups are betting against pure LLM scaling and pursuing alternative architectures, framed as increasing overall AI progress redundancy. Relevant to Nathan's tracking of AI progress/timelines and architecture diversity (parallels his own brain_graph_1 work as an alternative-architecture bet).
twitterai progressai architecturetimelinesethan mollickllm scaling