this is what worries me. I have friends that love what AI tells them about their personal pet 'thing' and how awesome it is. Yet not one of them has even tried once to get the AI to criticise it's own answers, and hence learn that you can trivially get an AI to make a convincing-_sounding case for any point of view.
I tell them to try, and they laugh at me as they roll their eyes and waffle on about 'tricking' the AI like its some kind of hacking.
Is it a tually lower oxygen in the blood that's the problem, or higher co2? I'm not sure if having high co2 automatically implies lower oxygen, I have no idea at all but feels like it may not necessarily be strictly. Linked. Also, are the cognitive issues of low oxygen the same as high co2 or do they produce different effects?
Working from home next to my open window feels generally way better then being in the office. Perhaps this is contributing. Still, seems more of a case for WFH rather than against, as article mentions some people have tried to make the case for.
I'm interested if anyone knows how much legwork the assumed 60% cache hit, plus running a quantised model is doing? Esp. compared to what the headline half implies is a full fat GLM5.2
This causes me to be concerned it is just the tip of the iceberg for all 'sensitive'/gov adjacent/'nefarious intent' adjacent codebase, if it's here, it's in other places. Which places, and how much?
I assumed it meant that when open weights reach the capability of frontier models, and tounge in cheek referencing the terrible consequences of us all getting our hands on mythos+ capability models without restrictions.
On mobile, or at least on mine (pixel 10) using chrome, the graphs are unreadable and unusable, which is a shame as I'm quite interested in them and I don't have access to a pc at the moment. Would you be able to change that?
They steal the scroll/drag touch and turn into a nightmare if zooming / unzooming, and are squashed and unreadable when they first render.
It doesn't teat the models ability to make good decisions on its own, it tests the models ability to make something that 'works'. Often you look inside and it does a whole load of questionable things that mostly work, sure, but if you say and designed it properly yourself you would likely come up with something for more sane and maintainable.
I tell them to try, and they laugh at me as they roll their eyes and waffle on about 'tricking' the AI like its some kind of hacking.