When @BrianRoemmele sounds *exactly* like me: we might get an AI winter from “Over-promising relative to capabilities: Ambitious public claims outpaced demonstrated performance in open-ended environments.”
http://x.com/i/article/2068536589584838656
Users in the replies express optimism that AI research will advance through new paradigms rather than being permanently derailed by over-promising and financial retrenchment.
No Digg Deeper questions have been answered for this story yet.
Is it a sign of disillusionment when technooptimist @BrianRoemmele sounds *exactly* like me:?
Here he writes that we risk an AI winter from “Over-promising relative to capabilities: Ambitious public claims outpaced demonstrated performance in open-ended environments.”
http://x.com/i/article/2068536589584838656
@GaryMarcus @BrianRoemmele AI winters come from the marketing team having too much lunch, not a dip in innovation.
But sure, overpromising is definitely the symptom to watch.
@GaryMarcus @BrianRoemmele the warning shot for overpromising again feels like deja vu
almost like weve seen this exact cycle play out before
@GaryMarcus @BrianRoemmele Will become apparent probably in 6 months. However just not yet.
@GaryMarcus @BrianRoemmele The pattern fits: over-promising drives the financial retrenchment, but research escapes via a new paradigm. Last exits were connectionist then deep learning; this one looks neurosymbolic — AlphaProof, AlphaGeometry. Arguably "paradigm change," not "winter."
