931–940 of 1001 posts
yeah its cool and unlike anything ive seen before but I kind of expected a bigger leap.
To me the most impressive thing is going to be longer context limits. I'd had semi long running conversations where ive had to correct an LLM multiple times about the same thing.
when you have more context the LLM can infer more and more. Am I wrong about this?
Impressed by the model so far. As far as independent testing goes, it is topping our leaderboard for chess puzzle solving by a wide margin now: https://github.com/kagisearch/llm-chess-puzzles?tab=readme-o...
On one hand, some of these results are impressive; on the other, the illegal moves count is alarming - it suggests no reasoning ability as there should never be an illegal move? I mean, how could a violation of a fairly basic game (from a rules perspective) be acceptable in assigning any 'outcome' to a model other than failure?
So from the model's perspective, we have at the same time display of both brilliancy (most 1700 chess players would not be able to solve as many puzzles by looking just at the FEN notation) and on the other side complete lack of any understanding of what is it trying to do from a fundamental, human-reasoning level.
We've had voice input and voice output with computers for a long time, but it's never felt like spoken conversation. At best it's a series of separate voice notes. It feels more like texting than talking. These demos show people talking to artificial intelligence. This is new. Humans are more partial to talking than writing. When people talk to each other (in person or over low-latency audio) there's a rich metadata…
I wonder how it will work in real life and not in a demo… Besides - not sure if I want this level of immersion/fake when talking to a computer... "Her" comes to mind pretty quickly…
We've had voice input and voice output with computers for a long time, but it's never felt like spoken conversation. At best it's a series of separate voice notes. It feels more like texting than talking. These demos show people talking to artificial intelligence. This is new. Humans are more partial to talking than writing. When people talk to each other (in person or over low-latency audio) there's a rich metadata…
Yeah, and it's only the beginging.
The most impressive part is that the voice uses the right feelings and tonal language during the presentation. I'm not sure how much of that was that they had tested this over and over, but it is really hard to get that right so if they didn't fake it in some way I'd say that is revolutionary.
(I work at OpenAI.) It's really how it works.
I imagine that there is a lot of usage at the HQ, human + AI karaoke?
We've had voice input and voice output with computers for a long time, but it's never felt like spoken conversation. At best it's a series of separate voice notes. It feels more like texting than talking. These demos show people talking to artificial intelligence. This is new. Humans are more partial to talking than writing. When people talk to each other (in person or over low-latency audio) there's a rich metadata…
But in this case you're not talking with a real person. Instinctively, I dislike a robot that pretends to be a real human being.