- 2.82K Posts
- 679 Comments
Man, Google AI is the gift that keeps on giving (stupidity)
Some background on this comic:
Transcript:
Reaction to this cartoon baffled me.
Although for the most part I think readers understood the “gag,” a few individuals accused me of having fun at the expense of hydrocephalics. Yep―that’s what they said.
I hope it’s obvious to most people that hydrocephalicus (I still can’t believe it) had nothing to do with the cartoon.
Singling out any tragic disease for ridicule would never fall within my own standards―let alone my editors.
So what do they think about Charlie Brown?
It’s the equivalent of riding into town in a beater car. It works and gets you to where you need to be, but it’s embarrassing to be seen in.
1·4 days agoThought this was a fair look at speed in both Rust and C. It doesn’t really try to answer the question, so much as examine some ways of thinking about it. For those not aware, the author is someone heavily involved in Rust, but I didn’t feel like that biased the article.
Was reminded of this essay from this post, which asks about speech synthesis.
Looking back towards excitement over stuff like Big Data, the hype wasn’t exactly misplaced, it just lacked for compute and a bit of optimization. I remember talking with a linguist probably a decade ago who said that trying to do NLU (putting aside arguments about “actual” understanding) with Big Data is like trying to build a ladder to the moon. It turns out that we can build a pretty good ladder.
3·4 days agoThe Bitter Lesson talks about speech recognition instead of synthesis, but I would guess that it’s a similar dynamic:
In speech recognition, there was an early competition, sponsored by DARPA, in the 1970s. Entrants included a host of special methods that took advantage of human knowledge—knowledge of words, of phonemes, of the human vocal tract, etc. On the other side were newer methods that were more statistical in nature and did much more computation, based on hidden Markov models (HMMs). Again, the statistical methods won out over the human-knowledge-based methods. This led to a major change in all of natural language processing, gradually over decades, where statistics and computation came to dominate the field. The recent rise of deep learning in speech recognition is the most recent step in this consistent direction. Deep learning methods rely even less on human knowledge, and use even more computation, together with learning on huge training sets, to produce dramatically better speech recognition systems. As in the games, researchers always tried to make systems that worked the way the researchers thought their own minds worked—they tried to put that knowledge in their systems—but it proved ultimately counterproductive, and a colossal waste of researcher’s time, when, through Moore’s law, massive computation became available and a means was found to put it to good use.
Also posted over in !discuss@discuss.online here, since I was reminded of the essay
Some background on this comic:
Transcript:
As a reader pointed out to me, bananas don’t grow this way. The individual bananas grow upward, not downward (as I’ve drawn them here).
One side of me wants to say, “So sue me,” but the truth is, it does bug me when I make these kinds of mistakes.
9·4 days agoI use RunnerUp from F-Droid and it works great:
2·5 days agoThe new scrolls do seem harder to read. I only just realized that the lightning wand is supposed to look like a taser because of the new art though, so there’s that. I always interpreted that as some kind of teal gem on the end.
For those that haven’t seen it:
https://knowyourmeme.com/memes/does-he-bite
I just realized that the original C&H comic wasn’t this meme and someone edited it into the meme.
Great execution on a clever idea. As convenient as ipads and touchscreens can be, tactile interaction like this is probably way better for development.
Not an EE but I work with a lot of them and I think the enthusiasm rubs off on me
Yeah, I think that’s a good summary. I tried finding an article I read a while back that talked about it more from that angle, as in “Why does π keep showing up everywhere?”, but can’t track it down.
In consolation, here’s the Tau Manifesto, which talks up why τ (i.e. 2π) is the better number to use, and also a post about the evil twin of π, called ϖ:
Good call. Those belong in something more like an FAQ section, but there’s not really enough to justify having that sort of section in the first place.
I posted about this a bit ago, but that likely wouldn’t work:
In a First, AI Models Analyze Language As Well As a Human Expert
https://discuss.online/post/30279537
Any language you picked or invented would just add to the training data and help the AI out.
That’s a great idea, thanks!
Thought it was a good overview of why Fourier Transforms are interesting and the motivation behind them
Green is playing a practical joke on blue. Green is about to laugh in panel 3 as blue discovers the taste of dick, but then blue keeps drinking in panel 4, bemusing green
He’s being abducted by a UFO and wakes up inside of it to see random teens instead of aliens, is the joke as far as I can tell. I found the last panel online used elsewhere but it seems to be a common stock photo and not a meme or reference on its own.