140 karma · joined March 1, 2018
Iran was, as per the latest reports I've read, complying with terms and not enriching uranium to weapons-grade or close to weapons-grade. Are there credible reports suggesting otherwise?
They are all horrible. If there is ever a reckoning, I hope this entire class of spineless shits get destroyed.
Oh, I absolutely love this lens.
This seems like a classic tragedy of the commons, no? An individual has a minor impact, but the rationale switching to LLM tools by the collective will likely have a massive impact.
I'm a decent engineer working as a DS in a consulting firm. In my last two projects, I checked in (or corrected) so much more code than the other two junior DS's in my team, that at the end some 80%-90% of the ML-related stuff had been directly built, corrected or optimized by me. And most of the rest that wasn't, was mostly because it was boilerplate. LLMs were pivotal in this.
And I am only a moderately skilled engineer. I can easily see somebody with more experience and skills doing this to me, and making me nearly redundant.
Aren't there legal requirements in place for this stuff, at least in the US?
It's tiring to be subject to the constant narcissism. The human toll of the incompetence of this government is incalculable. They've set us back decades, if not forever, because I have no clue how our dumb bureaucracy and spineless civil society are going to deal with destruction that climate change is likely to visit on the subcontinent without completely fragmenting.
[1] https://www.hospitalmanagement.net/comment/anemia-prevalence...
[2] https://www.indiaspend.com/38-of-indian-children-under-4-poo...
For example: a large number of clustering methods boil down to matrix factorization, with variations in the constraints. If you have both domain understanding and a general understanding of what kind of output these variations are likely to result in, you can often narrow down the list of methods you need to try.
Also, interviews.
An illustrative example comes from the first lesson in fastai's deep learning course: an image classifier that would have been SOTA as late as 2012/13, can be built by the hobbyist in like 30 seconds.
That said, I don't disagree that this is all narrow AI, at best.
That's not in doubt. An extremely skilled person will outcompete the field, all other things being equal. Unfortunately, with reference to most sports, all other things aren't equal, which is why good high-school male teams in sports such as soccer can credibly compete with national-level adult female teams.