"There is huge genetic IQ gaps, lol. Some cats are so smart they blow your mind, others are mouth breathers. The normal distribution is real."
I'm very curious about how well someone with a "lot of experience in digital advertising" is positioned to define "genetic IQ gaps", "smart", etc. as it applies to cats & others. Perhaps instead of throwing these terms around like they're candy, you should submit your findings to an scientific journal (and get rejected :) ).
Intelligence is not well-defined even for humans, and we have little understanding of what goes on in an animal's "mind", yet people like you use terms like IQ for cats like they're established facts. For all we know, it could be that some animals/cats just don't "care" as much about interacting with humans. Just like some humans do.
> we have little understanding of what goes on in an animal's "mind"
Maybe you do. Behaviorism went out with disco and bell bottoms, and good riddance; more recent researchers often take an ethological approach - Goodall, not that pervo freak Skinner - and what we've learned from corvids only scratches the surface of the extent to which we're lately discovering that animals other than humans are a lot smarter than we tend to give them credit for.
The human animal, on the other hand - well, that you put quotes around "mind" in your comment earlier suffices alone to demonstrate that your confident assumption of knowing what you're talking about here lacks quite a bit for congruence with reality. Hell, I've met crows who proved to have a very accurate theory of mind for me - much more so than you here give the impression of having for them.
The US by far leads the world in profitable software companies and venture capital funding. The competition for talent in Silicon Valley combined with the huge amount of money generated/raised ends up increasing US engineer salaries even outside California over time.
There are other quality of life factors too, that salary will get you a large house with a large garden, at least 30 days annual leave (on top of sick days/maternity/paternity etc) and very rarely is there overtime or crunch
My salary in Germany (€60K) and apartment in a not great neighborhood was €900 a month.
Here in the US, I pull $150K and spend ~3K a month on a studio. I think my standard of living in Germany (besides desperately missing air conditioning) was roughly the same.
I make about €48000 after taxes in Romania. And while the standards of living might be the same, it only matters while we are not competing for the same goods. You can afford a better car than me, better electronics, nicer trips in foreign countries, and so on since those kind of goods tend to have the same prices no matter where you live.
Wow, that's insanely impressive. Can I ask how that's possible? I'm making that *BEFORE taxes, in Austria, Which nets me significantly less than you in take home pay and savings.
The PhD stipend is well above starvation levels and you can go to internships during summer to earn more money and accumulate experience. I have seen many, many people in FAANG with PhDs in SDE/DS roles and they can relatively quickly reach senior levels as well.
I don't know your situation but I while there are certainly ultra-competitive CS programs (e.g., Stanford, MIT, Berkeley, CMU), there are many research-focused universities in the US (R1) that are totally good-enough for doing research and getting a recognized degree. In a lot of less competitive universities, there is no admission committee per se; you just email the faculty you're interested in and if he wants to recruit you, then it's basically done.
There are good research universities in the R2 list as well (RIT, IIT, etc.)
No, especially in fields that have as much citations and papers on average as ML/DL/RL.
If a paper in any other field was cited 44k in ~8 years, it must have made life-changing discoveries. Maybe some of the early papers on COVID-19 will reach that number.
"ML is starting to fizzle out as a “savior” of the industry after lofty promises were never fulfilled."
What? Siri, text completion, all the health- and activity-tracking features of Apple Watch, computational photography, Photos app, Face ID, and many, many more depend on machine learning. And let's not forget the Neural Engine in M1.
Especially in biosciences. But it’s probably the case that the hardware that Apple produces don’t use fancier methods such as DL/RL that much and depend on more traditional methods. You need capable GPUs for the state of the art stuff (e.g. DLSS by Nvidia).
It used to be AI then was renamed to ML (I know, ML is supposed to be a component of AI). AI has been touted since, let's see, my first encounter with it was in the early 1990's. It sucked. Then again in the early 2000's. It sucked. ML today is almost somewhat barely usable with hurculean efforts, IOW...it still sucks.
Wow, reading a few pages of mostly spiteful & angry (at Mr. Goodfellow) replies on macrumors.com was really eye-opening. Ordinary people seem to have no idea at all how much in-demand someone at the level of Ian Goodfellow is.
Really. If someone like me who has a fraction of the ability and a much more common skill set is in high demand, I can’t imagine how easily he could find work. He’s going to find remote work no problem.
