lkois
Joined 6 years ago
Joined 6 years ago
The 200 test images here are 'wild'. Fine-tuning in-domain is the whole point. This is what model training is. A skin cancer diagnosis tool doesn't also need to generalise to dog breeds to be valid, and will almost always perform worse if it does.
After about 3 messages in any given chat, a follow-up to "rewrite that with a more friendly tone" will result in a letter for a completely different job from another chat within the notebook.
This is exactly the assumption that the carefully worded juice hopes you'll make. That Apple's claim to innovation precludes even a cursory glance at the competition
But even if we only asked for sonnet:latest, the last thing we'd expect is opus. Model names should be indicative of breaking changes, and change management doesn't just go in the bin because of non-deterministic tools.
I work for an education department that serves a chatbot for students, and model changes go through painstaking content safety reviews. I initially assumed it's just a bunch of bureaucratic paranoia. But every other model upgrade has a measurably different adherence to the existing system prompts about not talking to the kids about sex and drugs and mental health issues.
On recent visits to Tokyo, with my current habits, the general crowd (who presumably check some app) has been the more reliable forecast. Either everyone has an umbrella in their hand or they don't. And I discover whether I should have brought my umbrella or if I'll be lugging it around pointlessly, just far enough from my hotel to be stuck with my choice
A labyrinthine Shinjuku would still be way cooler. Shibuya station doesn't have quite the same disorienting featureless repetition to it, but offers a more overwhelming MC Escher-like experience where you can often SEE exactly where you want to go in the near-distance, but every path and every turn brings you into a completely different space, and rarely any closer to your destination.
If your current remote has multiple unused buttons on it as they often do, you can already try this out.
eg A driving decision system needs to know object distances AND traffic light colours. It doesn't particularly need to know the source of either. You could have a camera-only system that accurately determines colour and fuzzy-determines distance. Or you could have a LIDAR-only system that accurately determines distance and fuzzy-determines colour.
Or you use both, get accurate LIDAR-distance and accurate camera-colour and skip all the fuzzy-determination steps. Or keep the fuzzy stuff and build a layer of measurement-agreement for redundancy.
So then the question becomes, what's your proportion when deciding whether to stop at a traffic light? Is it mostly light colour or mostly distance to other objects? Or 50/50?
I'd say it's 100/100.
Similar for the YouTube channel NotJustBikes, who has gone into great detail about the advantages of raising kids in a city planned around pedestrian and cyclist usage, and not in a suburban sprawl.
Or they could just be regular people with regular, stable jobs because they haven't chased a life of risk.
Or to put it another way, should the US also ban/censor Chinese art and cinema within it's borders?
Good memories of playing this at a friends place, way back when