ensan

If you’re just an end user and a non-engineer, how can you (1) universally judge the level of programming of data scientists to be (2) mediocre?

"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.

Is it just me, or are the salaries much lower in UK than in US? Why?

Why not apply to PhD/MSc programs in the US?

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.

There is currently a hiring freeze at Meta for most positions but this rescinding case was mostly caused by visa lottery problems it seems like.

No.

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).

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.

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.

Isn't there a tax deduction aspect to a lot of these donations?

Anyways, 100 more Nature-level articles about climate change is not going to change the situation if there is no political will (or if it seesaws every 4-8 years at best).