discreteevent

4 ms·

31.
by discreteevent 2mo ago
> They learn the concept of things and how to do them because this is better compression than learning concepts one by one. When anthropic looked at how an LLM does addition it found it had some mental math heuristics that might or might
32.
by discreteevent 2mo ago
> I don't keep a time tracking diary. That's why Microsoft did a study (referenced in the article), where they measured the time spent on things, so they could get to the truth of how much time people spend coding using "
33.
by discreteevent 2mo ago
Is this really a rational strategy for something whose nature is to be right most of the time and then spectacularly wrong a much lesser amount of the time?
34.
by discreteevent 2mo ago
> The hard part is discrimination: whether a given mental jump is "creative" or "insane" That's what they mean by LLM's can't jump. They mean it can't make a creative jump. Their example is Einstei
35.
by discreteevent 2mo ago
> Code is no longer meant to be read by humans but by machines. That isn't true. Everyone knows it and you know it. So why would you make a statement like this? Does it make you feel like a "thought leader"? This isn'
36.
by discreteevent 2mo ago
> You should be a consultant. It's a bot. They are everywhere trying to keep the bubble inflated.
37.
by discreteevent 2mo ago
The scientific method is not about running experiments and then trying to work out the gist of something. It's about understanding and theory building and then doing experiments to verify your model. The end result is not an experiment
38.
by discreteevent 2mo ago
10% in profit is huge but that's not what the article is about.
39.
by discreteevent 2mo ago
> There will be a window where fast adopting AI companies can deliver features faster than peers >Those fast adopting AI companies will be able to garner additional revenue The companies going 50% slower on reliable features that cust
40.
by discreteevent 2mo ago
There's a bubble where VC backed companies are not producing anything that people are really using or paying for. So to justify their valuation they instead try to show just how productive they are. Surely if they are this busy and pro
41.
by discreteevent 2mo ago
> But the reduction began when you yourself started putting more importance on your enjoyment of the process over the value being provided to your customers. Why would you make this comment? Is it envy? They were able to do things only s
42.
by discreteevent 3mo ago
> The technology marches forward and will develop naturally. If you personally don't want to use it, then don't. The debate marches forward and will develop naturally. If you personally don't want to read it, then don&#x2
43.
by discreteevent 3mo ago
This happens all the time, even before LLMs. And it happens even when there is no threat. A lot of the time the race to the bottom is driven by anxious people running from imaginary threats. Which is why its often useful to have a person in
44.
by discreteevent 3mo ago
This remains one of the best articles I have read on LLMs (by the same author) https://martinfowler.com/articles/llm-learning-loop.html Also this article is a good pre-cursor to the DSL article: https://mart
45.
by discreteevent 3mo ago
Sure, humans will be sitting at home unemployed with plenty of time to think. They just won't be doing any thinking that has much of an affect on the world or their situation.
46.
by discreteevent 3mo ago
There was no point made. You couldn't find a shallower comment. Why are you even bothered to defend it?
47.
by discreteevent 3mo ago
Panhandler > I sat out the TMT bubble until they quit using the term "information superhighway," and it saved me an 80% drawdown. > I'm sitting out the AI / chip / SpaceX [AICSX, pronounced like the wrestling
48.
by discreteevent 3mo ago
That type are called "engineers". I used to interview them and I didn't care if they knew anything about the business. Large codebases are the most complex things we have ever worked on and can easily become unmaintainable. I
49.
by discreteevent 3mo ago
My argument was not that LLMs aren't useful but that a compiler is a completely misleading anamlogy. You compared them to humans. Humans live in the world, have a world model, meet people for lunch and exchange ideas. Agents read markd
50.
by discreteevent 3mo ago
> there has not been an issue i found that required me to dig into the assembly of a compiled language (there are edge cases if there was a compiler bug, but I have not seen them myself). The compiler did exactly what you said because th
51.
by discreteevent 3mo ago
> As for how to rebuild it, I haven't figured that part out yet. Just do some work with the code. If I go back and try to add a feature or fix some bugs on code that I have not worked with for a long time I find it much quicker to b
52.
by discreteevent 4mo ago
Someone instructing AI through the terminal is a bit like an office worker with a tool belt. I don't think you can say anything about their coding ability until they are coding without AI. Even if thats in notepad.
53.
by discreteevent 4mo ago
AI is designed to produce variations on a theme. Not sure why you think it will produce something different.
54.
by discreteevent 4mo ago
Buy up all the property in an area and raise the rents in order to force other people to give them their hard earned cash so that they can spend it on a yacht in Monaco.
55.
by discreteevent 4mo ago
The "good" argument is that people trust other people's opinion more who have not been paid to advertise. I trust the doctor who personally recommends a drug more than the doctor who was paid to recommend the drug - even if t
56.
by discreteevent 4mo ago
This could be true but, no matter what, a streetwise person would never trust him after he has taken the money. If he wanted his opinion on AI to be trusted then he should have made his money some other way.
57.
by discreteevent 4mo ago
It's interesting user43928 that you only created your account here 19 days ago and that every one of your comments is pro AI. You don't comment on anything else. Also interesting that you promote Fable by name here (it was only re
58.
by discreteevent 4mo ago
Firing fast works both ways. If I joined your company and I thought you fired someone too fast I would leave, not because I might get fired, but because I've seen where that kind of leadership takes things.
59.
by discreteevent 4mo ago
This study showed that people writing computer games had little interest in productivity tools (because they are producing something that is really used). But people who produce things that not really used are obsessed with productivity: &g
60.
by discreteevent 4mo ago
Just to be clear: It slows down the overhead of a function call by 50%. It doesn't slow down the function implementation which takes a very large percentage of the time.

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