You could see jitter in the reflection on the MacBook as the guy typed, so that all looked great.

The responses came in very fast though, so I’m sceptical that the latency is representative (or that they didn’t cherry pick results, but they looked LLM generated). We shall see though.

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troupo 3 hours ago | parent [-]

Even for live shows they'd cherry pick specific scenarios that were known to work, and those would sometimes fail. IN a heavily produced pre-arranged pre-determined marketing video? It was as polished and made as smooth as possible.

	▲	data-ottawa 3 hours ago \| parent [-]
		I think that’s mostly okay, I just worry about the times. It was like 2-3 seconds to search and pull context then generate the answer. I’m writing AI apps these days, and even pulling Gemini 3.5 flash on Google Cloud takes longer to get a multi-step response. Obviously the video is not representative, and there are fast models on fast hardware. But if this takes 2 minutes it’s not very compelling to users.