leesec

62 ms·

691.
by leesec 8y ago
All laptops are garbage huh, that's a hot take.
692.
by leesec 8y ago
Not sure where some of these ideas even come from. I constantly see some version of "Musk isn't really engineer" on here as well. I guess having credible degree's and starting billion dollar++ tech companies doesn't
693.
by leesec 8y ago
This is crazy. It is a substantial step forward for NLP and basically every researcher/important person in the field agrees. And hype for what? They aren't selling anything.
694.
by leesec 8y ago
I've very much enjoyed his talks. I find him to be quite eloquent, sorry he hesitates more than you enjoy.
695.
by leesec 8y ago
So if we re-implement the 70% marginal tax rate now that these schemes are closed...?
696.
by leesec 8y ago
Ah yes, talking to one employee about a car no one's driven definitely makes their company 'have their shit together' more so than a company pumping out 6k+ vehicles a week of some of the highest rated cars of all time.
697.
by leesec 8y ago
Another take is that DESPITE there being a lot of 'amateurs' in the industry, the world generally seems to be humming along as normal, if not doing very well.
698.
by leesec 8y ago
How bout eating a carrot. Or a banana. That is vegan food.
699.
by leesec 8y ago
No idea why you seem to think meat is some how more easily prepared than vegan food. Both meat and vegan have easily prepared dishes and more time-intensive ones.
700.
by leesec 8y ago
Yes but computers can't process infinite data. Go has more possible state than atoms in the galaxy. It is not just about the data it is about novel solutions for interpreting the data and predicting useful states.
701.
by leesec 8y ago
I mentioned this in another comment but two notable applied applications would be AlphaFold [1] (greatly outscoring SOTA on major protein folding problem), and their data center efficiency [2] which has reducing their data centre cooling bi
702.
by leesec 8y ago
This is so cynical it is laughable. They are using games to develop algorithms as they are easily defined problems, but they have in turn used those algorithms on real world problems, notably AlphaFold and their data center improvements [1]
703.
by leesec 8y ago
Prominent pseudonymous psychiatrist/internet intellectual who writes interesting sometimes quite in depth articles on a variety of topics.
704.
by leesec 8y ago
If you're on a list[1]. "Waymo One is only available to a small group of consumers who also participated in the early rider program." [1] https://www.extremetech.com/extreme/281776-waymo-launches-co...
705.
by leesec 8y ago
Well no one knows how to get to level 5 since it doesn't exist yet. But there doesn't seem to be any theoretical reason why maps+vision+radar can't scale to level 5.
706.
by leesec 8y ago
But you don't know this for sure since you can't use any of these cars, right? The point being Tesla has actually shipped a product that's pretty good, and therefore, is currently the best in the market. Sure maybe Waymo&#x27
707.
by leesec 8y ago
If you want to get to building ML models right away, take Practical Deep Learning for Coders. Cutting Edge Deep Learning is a part 2 to that class, with more advanced topics. The Intro to Machine Learning, from my understanding, is more of
708.
by leesec 8y ago
Yeah, my point to that guy was that getting rid of cars was ridiculous because so many people have to travel a long way for lots of things in places that sprawl. I've also lived in GR for around 4 years. I think there is no congestion
709.
by leesec 8y ago
Ever lived any where that's not a major city in the US? It is common here in Michigan to drive 20 miles to work.
710.
by leesec 8y ago
Ah yes, only the rich should be able to drive!
711.
by leesec 8y ago
Lol yeah, incredibly unfortunate you have much more access to fast and often luxurious personalized transit than anytime in history. Also you really want gas to be a dollar a mile and make all of your things expensive? This whole comment is
712.
by leesec 8y ago
Just wanted to say, your first course made me, someone with out a degree, extremely interested in the field, and empowered me to pursue a career in the industry. You making ML "uncool" really made me believe I could do it, when pr
713.
by leesec 8y ago
Some Canada Goose coats are $900+. You can definitely get coats with 95% the same utility for 200-300. That is considerably less. Sure if you want to go to Antartica they might be worth the extra money, but the majority of people buy them f
714.
by leesec 8y ago
Apple has 250 billion dollars at their disposal. They can obviously have multiple efforts running in parallel.
715.
by leesec 8y ago
>Colleges shouldn't be in the business of training people for jobs - that is what tech schools are for. Whatever it "should" be for doesn't really matter. The majority of people (in America) operate under the assumpti
716.
by leesec 8y ago
Yeah I guess if you're going to change the definition of what you said than you are right. The point stands that ML is better than human at certain tasks and does it in a different, non-human-understandable way.
717.
by leesec 8y ago
>No computer will ever demonstrate actual intelligence, which is the ability to bring a new and unforeseen solution to an existing problem. This is already false, given the many examples of machine learning out performing humans in a var
718.
by leesec 8y ago
I think (human)intelligence almost guarantees recursive self improvement; thus, if AGI = human intelligence or greater, it would also guarantee recursive self improvement.
719.
by leesec 8y ago
I don't know. There stocks seem to be doing pretty well. Are any of these companies likely to not exist in 20-30 years? Obviously it won't go on forever but what's the time horizon.
720.
by leesec 8y ago
Would also like to know major differences to Anvil?

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