uriegas

6 ms·

1.
by uriegas 5mo ago
To be fair, even reading 'good' books won't make you smart. I think the key is to be critical, which should be thought at a young age. Ikram Antaki dedicated most of her last years in teaching this in Mexico. Anecdote: When I
2.
by uriegas 5mo ago
Long ago we abstracted programming into a logical language which allow us to think at a higher level. IMO LLMs are another abstraction but a bad one as it is stochastic and we can't guarantee output quality (e.g. security, performance,
3.
by uriegas 5mo ago
The idea of offshoring computing is good. However, the cloud developed as a centralized computing platform instead of a distributed one. This has created power dynamics that harm customers. The same happened with social media, and has happe
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by uriegas 5mo ago
I think AI labs are realizing that they no longer have any competitive advantage other than being the incumbents. Plus hardware improvements might render their models irrelevant for most tasks.
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by uriegas 5mo ago
I don't really think it is turning into a guesswork. A lot of people wrote bad code before by pasting things from the internet they didn't understand. I think some people are using LLMs the same way, but it does not mean that prog
6.
by uriegas 7mo ago
What does an AI degree provide? Is it really different than majoring in CS? AI has been pretty standard in CS undergrad programs AFAIK. At least in high school it seems that AI curricula is just learning to use LLMs and understand a few con
7.
by uriegas 7mo ago
I do agree with his identification of the problem: sometimes agents fail because of the tools around it and not because of the model's reasoning. However, for the failing tests I think he is not making the distinction between a failed
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by uriegas 8mo ago
I don't think so, have you read 'The Bonobo and the atheist'? Humans are not the only ones using tools and in reality there isn't much difference between humans and animals. The conclusion I get from the book is that the
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by uriegas 8mo ago
Yeah, there is also the work of primatologists which challenges some of our beliefs of what we think is human sciences (like politics). See Frans De Waal. Yet, I believe there hasn't been much progress as compared with STEM. But it i
10.
by uriegas 8mo ago
There are some research projects out there that use LLMs for health diagnostics. Here's one: https://cs.stanford.edu/people/jure/pubs/med-pmlr23.pdf They usually require more data It is not a great idea
11.
by uriegas 8mo ago
I agree. Most of the time people think STEM is harder but it is not. Yes, it is harder to understand some concepts, but in social sciences we don't even know what the correct concepts are. There hasn't been so much progress in soc
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by uriegas 8mo ago
I believe iMessage is only used in the USA. In Latin America almost everyone uses WhatsApp.
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by uriegas 8mo ago
That is very interesting. It is funny to see how influential the federal government has been on society, infrastructure and other areas of life. Specially considering that some people opposed to it during the confederation period because th
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by uriegas 8mo ago
Agree. Texas is pretty bad. In most places you cannot exist without a car. No wonder Mcallen is the most obese city the US.
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by uriegas 8mo ago
Transportation influences urban development. That is why most houses have a garage. There is no such thing as private transport (streets are public). Transportation has been heavily centralized since the New Deal. The bicycle was okay for m
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by uriegas 8mo ago
The problems of centralization. Some economic sectors are centralized by nature, IT is not.
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by uriegas 8mo ago
I find it very useful for code comprehension. For writing code it still struggles (at least codex) and sometimes I feel I could have written the code myself faster rather than correct it every time it does something wrong. Jeremy Howard arg
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by uriegas 8mo ago
I think LLMs are helpful for understanding code. I used to spend like an hour trying to find where something very specific was made, and now I can just ask an LLM and it finds it right a way and is able to explain how the code works. This i
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by uriegas 8mo ago
I agree with the point that learning requires work. In general, everything worth doing requires work. This is one of the things I often have to remind myself, otherwise I spend the whole day 'learning' and I just read a bunch of s
20.
by uriegas 8mo ago
The robotics thing to replace caregivers misses the point that elder people also want connection. Yeah, it might free caregivers but still we will have a loneliness epidemic. I think this is more related to the desire for progress which is
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by uriegas 10mo ago
As someone else mentioned here: not all technical debt is created equal. I agree, sometimes the problem are changing requirements, etc. But it is also true that there is technical debt caused by developers who don't take the time to pr
22.
by uriegas 10mo ago
Maybe is because of what Steve Jobs mentioned about talented programmers having more power than CEOs as they can easily switch jobs.
23.
by uriegas 10mo ago
> "I expect us to go back to extending our agents with the most accessible programming language: natural language." I don't agree with this. Natural language is so ambiguous. At least for software development the hard work
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by uriegas 10mo ago
I was thinking the same thing. Maybe is that at the end the author seems to imply that agentic AI will work simply because models have become better regardless of the way we make them agentic (i.e. MCPs, skills, etc).
25.
by uriegas 10mo ago
I think this is purely first mover advantage. We get stuck with bad products simply because those were the first products on the market. It is difficult to change them once everyone uses them. The same applies to the adoption of IT on the b