svara

10 ms·

181.
by svara 1y ago
I don't know what you're talking about or how anything I'm saying inverts a burden of proof (of what exactly?). If you're saying "X can't do Y because Z" you do need to say what the connection between Y an
182.
by svara 1y ago
Not at all. I don't want to address directly your claim about lack of generalization, because there's a more basic issue with the GP statement. Even though I will say, today's models do seem to generalize quite a bit better t
183.
by svara 1y ago
> I’m open to them becoming more than a statistical token predictor, and I think it would be really neat to see that happen What exactly do you mean by that? I've seen this exact comment stated many times, but I always wonder: What
184.
by svara 1y ago
That worked great though? The question is confusing and unclear and it found an interpretation that made some sense and ran with it.
185.
by svara 1y ago
Yes, agreed, but that's a different point - I was reacting to this specifically: > Humans use only cameras. Which in this or similar forms is sometimes used to argue that L4/5 Teslas are just a software update away.
186.
by svara 1y ago
Exposure adjustment is constrained by frame rate, that doesn't buy you very much dynamic range. A system that replicates the human eye's rapid aperture adjustment and integration of images taken at quickly changing aperture/
187.
by svara 1y ago
A fine argument in principle, but even if we talk only about vision, the human visual system is much more powerful than a camera. Between brightly sunlit snow and a starlit night, we can cover more than 45 stops with the same pair of eyebal
188.
by svara 1y ago
> the same reason democracies are at a disadvantage relative to authoritarian regimes. Are they? There aren't very many examples of successful authoritarian regimes. Singapore and China?
189.
by svara 1y ago
I can read Japanese, yes, and obviously also find hiragana-only text hard to parse. I think that would be almost completely solved by using spaces and getting more practice though. I'm much better at reading than speaking/listenin
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by svara 1y ago
I don't find the argument about homophones very convincing, since people do speak to each other and it works. People will surely be able to adapt. But, you're basically throwing away the country's history. In just a few years
191.
by svara 1y ago
You can't say that with any certainty, but I personally share the impression that growth has not kept up with the hype of 2023. Take the following for example. That's an article from April 2023, that strongly implies that the next
192.
by svara 1y ago
AI is LLMs now. Similar to how machine learning became AI 5-10 years ago. I'm not endorsing this, just stating an observation. I do a lot of deep learning for computer vision, which became AI a while ago. Now, when you use the word AI
193.
by svara 1y ago
They probably should do that, but if you do a lot of biology questions you'll notice the filter is pretty bad, to the point of really getting in the way of using it for professional biology questions. I don't do anything remotely
194.
by svara 1y ago
I went through my ChatGPT history to pick a few examples that I'm both comfortable sharing and that illustrate the use-case well: > There are some classic supply chain challenges such as the bullwhip effect. How come modern supply c
195.
by svara 1y ago
This is really strange to me... Of course you don't trust the answer. That doesn't mean you can't work with it. One of the key use cases for me other than coding is as a much better search engine. You can ask a really detaile
196.
by svara 1y ago
Side note, it's not super helpful to tell me what I need to study in broad terms without telling me about the specific results that your argument rests on. They may or may not require deep study, but you don't know what my backgro
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by svara 1y ago
If I take what you just wrote together with the comment I first reacted to, I believe I understand what you're saying as the following: Of a large or infinite number of models, which in limited testing have equal properties, only a sma
198.
by svara 1y ago
Insightful and thanks for the comment, but I'm not sure I'm getting to the same conclusion as you. I think I lost you at: > It's not just that all models are wrong and some are useful but that many models are useful but wr
199.
by svara 1y ago
> Cause right now all they have is "well we are working on superintelligence" and to that I say "great, then what? Then you ask your superintelligence for advice on how to make money, obviously.
200.
by svara 1y ago
Down syndrome presents in different ways. I wanted to respond to multiple comments with the touching speech of Frank Stephen (a man affected by Down syndrome) before the US Congress in 2017, so I'm posting it to the top level instead.
201.
by svara 1y ago
> I think building super intelligence for the company that owns and will deploy the super intelligence in service of tech's original sin (the algorithmic feed) is a 100x worse than whatever OpenAI is doing, OpenAI announced in April
202.
by svara 1y ago
Someone here recommended Lapham's podcast, The World in Time, the last time he came up. It's amazing! Truly someone out of a different age. https://pca.st/podcast/daa59d90-feeb-0134-ec79-4114446340cb
203.
by svara 1y ago
Exactly. My hunch is that those who try to find reasons why AI coding bad are either * afraid that the demands on them in their job will increase * actually like and are attached to the act of writing out code. Frankly I can sometimes empat
204.
by svara 1y ago
I build things that haven't been done before with Cursor all the time. You have to break it down into simple building blocks rather than specifying everything up front. If you do it right this actually forces good design.
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by svara 1y ago
In practice repetition of this quote more often than not leads to a lazy attitude of "don't think about performance, it's too complicated, measure first and then let's talk". In my experience all great programmers t
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by svara 1y ago
> I would love to get into it but I am almost 40. You're young! Saying that as a fellow almost-40.
207.
by svara 1y ago
This thread started from the question of where the experts with the ability to use LLMs effectively would still come from in the future. I was making the point that it's still easy to find great information on the internet despite the
208.
by svara 1y ago
You inserted a hidden "only" there to make it into a logical sounding dismissive quip. You don't get knowledge by ONLY talking to LLMs, but they're a great tool.
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by svara 1y ago
> How do you verify when ALL the sources are share the same AI-generated root, Why would that happen? There's demand for high quality, trustworthy information and that's not going away. When asking an LLM coding questions, for
210.
by svara 1y ago
Say more?

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