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AFAIK the latest betas have switched to a cutting edge “transformer” model (or models?). I wonder if it’s prone to hallucinations like its LLM cousins. On a di
by sheepscreek 2y ago
AFAIK the latest betas have switched to a cutting edge “transformer” model (or models?). I wonder if it’s prone to hallucinations like its LLM cousins.
On a different note, I like how Mercedes changes the color of external lights when in self-driving mode to make others aware. A bit like outsourcing the responsibility externally - but maybe this is the way forward until the tech is reliable/better than people.
- t0mas88 2y agoI like the Mercedes idea, but haven't seen it in practice yet. It would be useful to have a universal outside light that informs drivers behind you that the reason you're keeping a safe distance ahead is that the car is on adaptive cruise control. Some people feel like 2 seconds distance is a reason to try crazy stunts to get around you. And then once the road is clear drive slower in front of you than the speed you had set...
- Rinzler89 2y ago>I wonder if it’s prone to hallucinations like its LLM cousins. When was their vision system not glitching? A year ago it was seeing the moon on the sky as a perpetual yellow traffic light.
- yreg 2y agoThat's not hallucination, that's image recognition issue.
- Rinzler89 2y agoHow do you define the border between hallucination vs recognition issue?
- temporarely 2y agoIsolating an object is baseline recognition. Any sort of semantic association is baseline interpretation. So that border is somewhere between "light source" and "traffic light".
- yreg 2y agoI thought hallucination is when the model imagines something that isn't there at all. Not a classification issue where it misinterprets an object in the source data. Sometimes it might be difficult to tell, but in the case of moon -> traffic light it seems clear. Maybe I'm wrong about the terminology.
- dzhiurgis 2y agotransformer and LLM aren't cousins. it's like saying transistor and cpu is a cousin...