ahoho

This was exactly my undergrad research topic! My knowledge is a bit out of date (perhaps this is in TFA), but the running theory is that there are two number systems. The first operates noiselessly and immediately for numbers under 4. The second works in the exact way you are describing, where the magnitude of errors are linear in the size of the set (the “analog magnitude” system). As I recall, there is substantial evidence supporting the idea of two separate systems rather than one.

I don’t really follow your point about integers. We know the brain does object detection at a low level, so it makes sense that the number systems will operate over countable elements.

sentence-transformers is excellent. It will be slow on CPU but, because it’s on top of pytorch, does have apple silicon/GPU support.

sentence-transformers has reasonably good tooling around this

This is spot on. I have two close relatives in their early 60s who lost their jobs during the pandemic. One has diabetes, and searched for months before finding a tenuous low-level position for the insurance

Right, and single thread performance won’t matter as much if it becomes easier to implement multithreading. This hurts legacy code, but I imagine it would be worth it in the long run.

I absolutely see the use case, and I believe AR is already being tested in some heavy industry sectors (eg oilfield services). That said, it’s not really in Apple’s wheelhouse as a primarily consumer tech company.

Not directly relevant, but I’m realizing the relative ubiquity of Apple Stores are a competitive advantage. I assume you can test an Oculus headset at the occasional Best Buy, but I suspect the experience isn’t as polished

Do you know if there's there a good reason to favor 3.11 over 3.10 for this use case?

I think that if OP finds The Matrix too adult, Ex Machina is even less appropriate.

Her is a good recommendation but I struggle to imagine a 12 year old identifying well with alienated-middle-aged-man-malaise ;) (although I loved Lost in Translation at 14 or so)

Arrival is a great recommendation. I had some quibbles with its science, but it’s good Sci Fi. Then he can introduce him to Ted Chiang’s other writing

In its defense, I saw The Matrix at 12 or 13 and adored it because I felt like it was something more serious—-that I could appreciate it was a sign I was maturing, and I was grateful for that

Of course all kids are different. I always loved the Back to The Future movies from a young age. Moon is also harder fare while being less violent than The Matrix.

You might also enjoy watching the modern Doctor Who together? Or Star Trek?

As for more books, maybe introduce him to Hitchhikers Guide?

> “It was a chicken-and-egg question that has been the subject of debate for a century,” says Karl Deisseroth, a neuroscientist at Stanford University in California

Huh, I'd have said this idea was already well-established. I'm curious how this finding is different than the existing evidence that bodily sensations can influence emotions. I mean, I can't be the only one who feels anxious when I've had too many cups of coffee or ate something funny

It seems odd to pick on one of the most universally reviled Beatles' songs to make your point. Three of the band's own members despised it. I don't even think the dozen fans of Maxwell's Silver Hammer would argue it's high art

It is pretty remarkable that I, someone born decades after those songs were released, can immediately bring each one to mind as I read that list

I've had the same thought, and I'd love to see an analysis of spreadsheet software adoption and (e.g.) financial sector employment to situate LLMs in their proper historical context. A brief glance at FRED data doesn't seem to point to any big changes in the job growth rate in that sector, but there's obviously too much exogeneity there to really say.

As an LLM researcher, I think a large hurdle is the set of last-mile problems like those that have plagued self-driving cars. Yes, stakes are comparatively much lower when automating a job posting, but correctness matters.