hintymad

5 ms·

1.
by hintymad 12d ago
Finally Apple has a screen time that allows different configurations for different time segments. What took them so long? /j
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by hintymad 12d ago
> Right now, overall compute is a moat. Very true. Or further, access to capital is the moat. It is the very reason that we don't have a real open-source community that trains frontier models - individuals simply can't afford t
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by hintymad 12d ago
> I guess what they really want is to limit sale of AI models to compliant vendors and then raise the bar to compliance just high enough so they can pass it but smaller labs can’t. If it's true, it makes them evil. Especially Dario,
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by hintymad 13d ago
> To him, the true AI doomer scenario is for all the immense power of frontier AI to wind up in the hands of a single powerful, proprietary provider. Isn't this exactly what Dario wanted? He thought he knew what's best for the
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by hintymad 15d ago
Maybe the real threat is that our industry has been stalled for years, or to put it more politely, that it has been mature for a while. Back before 2010 or so, people actually read books like The Art of Computer Programming, the Dragon Book
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by hintymad 15d ago
> LLMs are able to write almost perfectly correct code. This is kinda vague. Correct at what scale? I wonder if there's a measurement on the correctness per scale, and hopefully the scale is not just CLOC.
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by hintymad 18d ago
Curious why it is so hard to find an owner to the issue. Gates' experience started with the web UI, then I'd expect that the team who owns the microsoft.com or owns the experience. To them there are only two types of bottlenecks:
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by hintymad 20d ago
All luxuries indeed. Are they enough, though? Particularly, don't many books talk about how important it is to have productive hobbies or output-oriented hobbies? The underlying thesis is that one would quickly get bored and start seek
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by hintymad 21d ago
There's an interesting dynamic, too. Even if an engineer reads the output of the AI and understands the root cause of the problems and how to diagnose the incident, somehow it's hard for them to internalize the learning and apply
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by hintymad 22d ago
I think using open-source AI is no longer about API cost but about company survival. Take Anthropic for an example. Anthropic has successfully destroyed customer trust, at least for me. DHH in a recent interview mentioned that Claude refuse
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by hintymad 27d ago
I'm quite curious why few people are interested in what Uber has done. 70% of the code gets auto merged is a pretty impressive number. Companies have achieved way more than that? Uber's AI infra turns out to be not so useful? Or s
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by hintymad 29d ago
In some interviews, OAI mentioned that they didn't think that GPT-3.5 would be a success. They thought it would be a cool toy and they decided to launch it to see how users react. That means that they didn't think GPT-3.5 was inte
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by hintymad 1mo ago
> they can afford the penalties and continue doing it. I thought they could've bought just a single copy of each book and use the content to train their models. In that case, it falls into the fair use doctrine and they wouldn'
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by hintymad 1mo ago
What puzzles me is this: research means that we are exploring something that has not done before, yet using Claude to generate code means slicing and dicing what has been done many times before. So, I'm not sure how to make sense of bo
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by hintymad 1mo ago
> The coding part of my career is over. LLMs are capable of doing everything I've ever been paid to write . Remember we used to spend enormous amount of time in school and in our spare time studying computer science? Algorithms, o
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by hintymad 1mo ago
Boris: "I don't prompt Claude anymore. I have loops prompting Claude and figuring what to do". Boris: "I haven’t written a line of code by hand in, I think, eight months now… Claude Code, 100% written by Claude Code&quot
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by hintymad 1mo ago
> I don't know why anyone should care about understanding the results if the AI is better at math than us This is a big if, right? AI can still generate subtle or even silly mistakes that any normal human, let alone a mathematician,
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by hintymad 1mo ago
I see a disconnection here. Every once in a while we see a article criticizing management consultancy, yet the business is still booming and very powerful and sophisticated corporations still hire them. So, I'd assume that the consulti
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by hintymad 1mo ago
> Learning new CS concepts A key reason is that so many CS concepts are already well packaged in very nice libraries or frameworks. And unfortunately many people do not have to use very advanced CS concepts. Look at the so-called top 10
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by hintymad 1mo ago
> The problem with US healthcare isn't who pays for it, its how damn expensive it is Exactly! There's so much paperwork that a doctor sometimes need two assistants just for the paper work. There's so much cost for independ
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by hintymad 2mo ago
It sounds like Go didn't follow the suggestion of pretty much every CS books on concurrency: favor containers over concurrency primitives. > while Go forces channels for `select` whether they model your problem nicely or not, and th
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by hintymad 2mo ago
Java has so many excellent concurrency containers, plus robust 3rd-party containers like JCTools. It puzzles me why Go communities do not offer such containers.
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by hintymad 2mo ago
They do, and they help their users all the time
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by hintymad 2mo ago
And that should be the engineers' job instead of outsourcing it to PMs who do not even use any of the infra services -- I'm not insulting the PMs, of course, but to state a fact. Infra is used to serve the internal engineering tea
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by hintymad 2mo ago
> Navigating customer requirements and building something that satisfies both market's needs and company strategy can be an incredibly difficult and frustrating problem to solve True. And there is another angle: ownership. The autho
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by hintymad 2mo ago
> Is The Art of Computer Programming a light summer read? Is SICP a coffee-table book? I still read TAOCP occasionally as a hobby. The combinatorial algorithms and data structures are just fascinating. That said, this argument seems irre
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by hintymad 2mo ago
> If deciding what to build is the hard part, why do so many product managers seem clueless? I'm not sure I follow the logic here. Wouldn't this mean that product design is hard? That said, yeah, coding is hard. I suspect that
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by hintymad 2mo ago
"74% of executives said they had more confidence in AI’s advice than in that of colleagues or friends, and 44% said they would defer to its reasoning over their own insights" Eh...not that different from pre-AI era, when executive
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by hintymad 2mo ago
This funny post reads surreal, but it may carry some truth: https://x.com/signulll/status/2067446889956430273?lang=en
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by hintymad 2mo ago
> Because my friend didn’t have the vocabulary to ask the AI to write code Is it possible that the effectiveness of an LLM user with respect to the expertise of the user is like a sigmoid function or at least a step function in that shap

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