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With all the challenges in ethics and computation, and the knowledge needed from fields like linguistics, psychology, anthropology, and neuroscience, and not just mathematics and computer science, it will take a village to raise to an AI.
Gary Marcus โข Deep Learning Is Hitting a Wall
Classical AI techniques, of the sort that were common long before deep learning become popular, are much better at compositionality, and are a useful tool for building cognitive models, but thus far they havenโt been nearly as
Ernest Davis โข Rebooting AI: Building Artificial Intelligence We Can Trust
๐๐ผ๐ ๐๐ฎ๐ธ๐ฒ ๐ผ๐ป @๐๐ฎ ๐ฟ๐ถ๐ผ๐๐บ๐ผ๐ฑ๐ฒ๐ถ @๐ฎ๐ป๐๐ต๐ฟ๐ผ๐ฝ๐ถ๐ฐโ๐ ๐ป๐ฒ๐ ๐๐ ๐ฝ๐ผ๐น๐ถ๐ฐ๐ ๐ฒ๐๐๐ฎ๐
โข DeepSeek definitely has him rattled. The piece is a long and articulate, but also quite defensive.
โขย To his credit, however, it is vastly more substantive than Altman's reply.
โขย Some of his points are valid, e.g. Amodei is correct... See more
Gary Marcusx.com
โAI will surpass worlds best competitive programmer in 1-2 yearsโ
Lessons from @ScottWu46 https://t.co/5iDV1bY0yT
why your coding agents don't need rag anymore
nik pash from cline explained why he no longer recommends rag for autonomous coding agents, and his points hit harder than i expected.
the application layer is shrinking. all the clever engineering we build around llms keeps becoming obsolete as... See more
jason liux.com
a quick note from @karpathy talk, which afterwards I was fully immersed in the talk I stopped writing down/taking notes:
While it is interesting to think about LLMs in terms of "electricity" -> CAPEX to train an LLM (~= to build the grid) -> OPEX to serve intelligence over increasingly homogeneous API (prompt, image,... See more
Sam Altman on what most startups and VCs are getting wrong about the future of AI
โI think there are two fundamental strategies to build an AI startup right now. You either bet the technology is about as good as itโs going to be, or you bet that the technology is going to get massively... See more
Startup Archivex.com