Reddit post argues LLMs are "a billion narrow AIs stitched together," far from AGI
u_are_mad · reddit · 2026-09-28
A popular Reddit post pushes back on AGI hype:
- The Deep Blue analogy: AI solving Navier–Stokes, hacking companies, or making games doesn't signal AGI, just as Deep Blue beating Kasparov in 1996 didn't
- "A billion narrow AIs stitched together": LLMs only solve problems very similar to their training data and can't truly generalize — which is why they need so much data
- Benchmarks ≠ progress: better scores just mean more benchmark-similar training data plus algorithmic tweaks
- Jobs evidence: the author cites the lack of widespread job displacement as support
The post ends by inviting skeptics to "cope in the comments," a typical AI-capability debate thread.
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