@Tirial

83 Followers
120 Following
1,030 Posts
Talk Hard
DegreesPhD: How We Hear MSc: Making Cool Sounds BEng: Computer Stuff
Orcidhttps://orcid.org/0000-0002-6607-5262
@gruber Do you ever consider (or have you even done) getting custom key caps for your extended keyboard II, just for the option key, and just to remove the alt?
@gruber @jsnell I’m 8 minutes in to the talk show, and this is already my fav podcast episode of the year. You should do more together.
@caseyliss @siracusa @marcoarment I have three dots (…) programmed in my keyboard replacements to swap to an ellipsis (…) I put a few things in there, like № and ≈, so if I want to type them on my phone, I can easily. Some I have in there, but only use on the phone (≠ and ±) because there are option replacements for them. The only real issue I find is some programs refuse to honour them (MS Word is the worst) and I prefer Matlab not to do it (it doesn’t) because three dots has meaning in Matlab
@jsnell Just a bit of feedback for this week’s Upgrade. I don’t think you can really consider Apple/USA the big leagues anymore. 20 years ago, absolutely. As a young engineer at BlackBerry, I dreamed of working for Apple. Today, as a uni lecturer, I get recruited to come to the USA a fair amount (not by Apple) with more resources and money than I could ever have here. There just isn’t any way I would go. There are still some, even many, who would, but way fewer than ever before
@caseyliss At this point, both are in use, but the short “I” is correct. The root (see what I did there) word is from latin, so it maintains the latin stress, hence tin-ih-tus. In a bit of fun, the first written use of the word we have is from Pliny The Elder. Also… don’t do any of the things he suggests to cure it.

I will concede this is an annoyingly good answer to my snarky question.

“Route 66” can reasonably be pronounced “rowt” or “root”. But the point is still fair.

@caseyliss The American pronunciation in my work that really bothers me: Tinnitus (Should be tin-ih-tus not tin-ay-tus or /ˈtɪnɪtəs/ if you want the IPA).
@Tirial I appreciate the point about working with limited resources, but I don't think scientists versus engineers is the right framing for your point. With some few exceptions, mostly scientists are on a very tight budget and have to be very creative to build the tech they need in a very resource constrained way. I also don't find current machine learning to be 'scientific' in the sense that there is very little focus on 'understanding'. Their benchmarks are very unscientific.
@neuralreckoning I agree about the scientific budget constraints (I have no seed funding) but the science argument I was trying to make was less about resource management than about the singular focus. If I want to know something, say how a SG neuron is affected by noise exposure, I can drill right down to a single point, and I can do things that don’t need to scale, at all. I totally agree about ML benchmarks as well.

The big AI companies are building out as though those big breakthroughs are going to regularly come, and are trying to argue that their build out will be sustainable. It won’t be.

Before long, the company that best understands that they need to make the best model within the constraints they have, is going to win. I kind of suspect it will be Google, but Anthropic has a pretty good case too.