Model Releases
AFAIK the most significant breakthrough since 2017 besides scaling old ideas was broadening from base models into larger systems that incorp…
AFAIK the most significant breakthrough since 2017 besides scaling old ideas was broadening from base models into larger systems that incorporate symbol/manipulating entities like harnesses, tools, an
AFAIK the most significant breakthrough since 2017 besides scaling old ideas was broadening from base models into larger systems that incorporate symbol/manipulating entities like harnesses, tools, and code interpreters, enabling things like Claude Code. we haven't gotten any breakthrough in LLMs for 9 years attention is all you need: june 2017 applied sparse MoE: january 2017
Related
- Deep learning hit a wall. Neurosymbolic AI rescued it.
- Really amazing dissection. LLMs hitting rarely. Tools list is amazing.
- 🤩🤯🤩 Claude Code (still not AGI but biggest advance since GPT-4) is the most neurosymbolic thing I have ever seen in my life. 53 symbolic …
- Someone just asked me “What I don’t get is why you see it as some kind of failure that AI labs are now using harnesses and neurosymbolic too…
Source: Gary Marcus (X) | 2026-08-03