"The math makes so much more sense when you implement it yourself vs reading papers."
replySomething I found to be universal true when dealing with math. My brain pretty much refuses to learn abstract math concepts in theory, but applying them with a practical problem is a very different experience for me (I wish school math would have had a bigger focus on practical applications).
It's like you learn math best with your hands. The mind catches up to your hands afterwards.
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replyImagine the people on here spraying their AI takes everywhere while being this oblivious, the code is more or less a standard assignment in all Deep Learning courses. The "reasoning" is two matrix transformations based on how often words appear next to each other.
replyQuite a few people on here are neither math nor CS grads and some of us don't work in tech for our day jobs either.
replyRight. But HN, among other platforms, is full of users who will confidently run their mouths about something they don't fully understand while believing they do. I think the previous commenter was being too shy in pointing out that even exceptionally smart people sometimes forget where the limits of their own knowledge are, not to mention consider themselves immune to any propaganda that surrounds the subject at hand.
replyThe Opus 4.6 thread was full of "very smart" and experienced SWEs likening model weights to neurons. And again, any DL curriculum worth its salt will thoroughly debunk that comparison, i.e. Justin Johnson. In this day and age it seems the Darios and Altmans have successfully waged the most damaging propaganda campaign in modern time. Even the Pentagon is lining up to relegate its decision making to black box stochastic ML models. Tech as an industry is unfortunately extremely gullible, all the more so when pressured by the market, VCs, clueless PE analysts, the tech blogger/grifter complex. Foundation model makers can get away with hiding training data while proclaiming they are building a "moral" neural network while no one bats an eyelash.
reply>Right. But HN, among other platforms, is full of users who will confidently run their mouths about something they don't fully understand while believing they do.
replyThis is honestly funny and kind of ironic.
If this:
'The "reasoning" is two matrix transformations based on how often words appear next to each other.'
is what byang364 has to say, then he's part of the people you mention.