cmfhsu

cmfhsu , 10 days ago

Looks like a Subaru engine

cmfhsu , 10 days ago

I could be optimistic and say it’s a Porsche engine!

cmfhsu , 1 month ago

That’s the ticket, IMO. I start off assuming they know, then pause to ask “are you familiar with x concept?”

If they say yes and they really mean no, there’s really not a lot I can do. But it seems to make people feel at ease when talking to me - I don’t get called out for over explaining or infantalizing people this way.

cmfhsu , 1 month ago

Erm I might be showing my inexperience here.

Is there no equivalent to man LOAD in the commodore world? Or even just help?

cmfhsu , 1 month ago

We used to distinguish AI as automatically / programmatically making a decision based on an ML model, but I’m guilty of calling it AI for wow factor, lol.

Now I have to be careful because AI = LLMs in common language .

cmfhsu , 8 months ago

I’m not sure what I’ve done differently, but my under screen reader on my 6 pro is more reliable than the back reader on my pixel 3.

Obviously my one data point doesn’t negate the vast swathes of people who do have issues, but for me I may not even elect to use face unlock. Seems unnecessarily insecure.

cmfhsu , 9 months ago

In statistics, everything is based off probability / likelihood - even binary yes or no decisions. For example, you might say “this predictive algorithm must be at least 95% statistically confident of an answer, else you default to unknown or another safe answer”.

What this likely means is only 26% of the answers were confident enough to say “yes” (because falsely accusing somebody of cheating is much worse than giving the benefit of the doubt) and were correct.

There is likely a large portion of answers which could have been predicted correctly if the company was willing to chance more false positives (potentially getting studings mistakenly expelled).