segh

5 ms·

1.
by segh 2mo ago
Does no one else notice the LLM-speak tone of this article? Does no one else mind?
2.
by segh 4mo ago
gpt 5.5 thinking is more reliable than the median internet commenter
3.
by segh 4mo ago
I'm curious, what is the LLM cost of the website?
4.
by segh 5mo ago
This is an argument against all technological progress.
5.
by segh 5mo ago
Being average is a just stage LLMs pass through as AI makes its way towards 'expert' and 'super human' levels.
6.
by segh 7mo ago
I can do long division manually but I still reach for a calculator.
7.
by segh 7mo ago
People skills :/
8.
by segh 7mo ago
This is an experiment to see the current limit of AI capabilities. The end result isn't useful, but the fact is established that in Feb 2026, you can spend $20k on AI to get a inefficient but working C complier.
9.
by segh 8mo ago
Far far more people use ChatGPT than Claude.ai
10.
by segh 8mo ago
I started skimming and instantly thought AI, then came to the comments to see if it was just me.
11.
by segh 8mo ago
School incentives are not really aligned around maximizing learning rate for every student. (E.g. that is why there is/was debate around teaching phonetics)
12.
by segh 1y ago
Cool experiment! My intuition suggests you would get a better result if you let the LLM generate tokens for a while before giving you an answer. Could be another experiment idea to see what kind of instructions lead to better randomness. (A
13.
by segh 1y ago
ChatGPT's tone is slowly taking over the entire internet
14.
by segh 1y ago
People still play chess, even though now AI is far superior to any human. In the future you will still be able to hand-write code for fun, but you might not be able to earn a living by doing it.
15.
by segh 1y ago
The live demos are using a very cheap and not very smart model. Do not update your opinion on AI capabilities based on the poor performance of gpt-4o-mini
16.
by segh 1y ago
The system prompt can include examples. That is often a good idea.
17.
by segh 1y ago
For me, they have come from the AI labs themselves. I have been impressed with Claude Code and OpenAI's Deep Research.
18.
by segh 1y ago
Lots of people are building on the edge of current AI capabilities, where things don't quite work, because in 6 months when the AI labs release a more capable model, you will just be able to plug it in and have it work consistently.
19.
by segh 1y ago
This is the crux of the issue. Whether you think this is like extending a ladder to the moon, or more like we figured out how to get to the moon and are now aiming at Jupiter.
20.
by segh 1y ago
Claude Plays Pokemon is one person's side project to see how well Sonnet can play pokemon. It is a neat LLM benchmark; it's not a serious attempt at making Pokemon-playing AI.
21.
by segh 1y ago
Do you disagree that AI will ever reach the level of a "high-income knowledge worker", or do you disagree that it will happen in a year or two?
22.
by segh 2y ago
If you have not been reading every OpenAI blog post, you can't be blamed for thinking the model picker affects Deep Research, since the UI heavily implies that.
23.
by segh 2y ago
I don't know how literal you are being, but it is not "literally anyone". If you know what FFmpeg is, you are a very small minority of the population.
24.
by segh 3y ago
Improve in intelligence and capability.
25.
by segh 3y ago
Enforce a no politics rule.
26.
by segh 3y ago
Here is another online SICP with built in interpreter. http://xuanji.appspot.com/isicp/
27.
by segh 3y ago
One problem with cheap or free is that when you are trying to validate your product, a user paying you good money is far more validation that a free user.
28.
by segh 3y ago
That's not the conclusion of the link you posted. The conclusion is more like: > After aspartame is consumed, it immediately breaks down into three naturally occurring chemicals. Even large amounts of aspartame cause smaller fluctua
29.
by segh 3y ago
As a percentage of GDP, the UK has the 6th highest healthcare spending of OECD countries, on par with Switzerland. The UK is not an outlier in terms of spending. https://stats.oecd.org/Index.aspx?DataSetCode=SHA
30.
by segh 3y ago
I'm not sure it's just incentives. Inexperienced early stage founders often end up solving imaginary problems, despite having a real incentive to get it right. The Y Combinator moto is "make something people want" becaus

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