Feeling late to AI is a myth: talent bottlenecks remain everywhere
akbirthko · x · 2026-11-05
Responding to widespread anxiety about being "too late to the AI game," akbirthko builds on Dave Banerjee's thread to argue it isn't.
- Talent bottlenecks are everywhere; existing orgs still have plenty of room to scale, and incumbents' head start is overstated
- Short AGI timelines aren't set in stone — there's plausibly still several years to prepare, so it's "all hands on deck"
- The author offers an analogy: Schmidhuber is like James Watt looking at a nuclear reactor and saying "you're still boiling water" — machines are means to an end; define your own end
- Notes AI policy fellowships remain highly competitive, with single-digit acceptance rates
Bottom line: rather than fret about missed timing, decide what you actually want AI to accomplish.
More from AGI Musings
- LeCun: 'LLM-pilled' industry all digging the same trench — a key reason he left Meta — ylecun · 2026-11-05
- Alignment debate: read reward-seeking behaviorally, like AlphaGo nearing Nash equilibrium — jessi_cata · 2026-11-05
- The people angriest at AI are students who wrote their own essays while others cheated — NC_Renic · 2026-11-05
- Side projects as a hiring red flag? Veteran engineer pushes back on founder's autonomy test — tianyin_xu · 2026-11-05
- The great refactoring: AI rewriting all libraries, languages and hardware subunits — dosco · 2026-11-05
- Credit for a Decade of AI Advances Still Belongs to Humans—But That's About to Change — roydanroy · 2026-11-05