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can't argue with that logic. But jokes aside, if even a consensus of multiple AIs can be this biased, I wonder how many actually important topics are mistakenly treated as settled truth because different AIs aggree on that but it's actually simply because of statistical biases in the training data.


how does it come that every major LLMs seems to have this behavior? same training data?


How do you train on random numbers ?


Probably thinking+tool.

The correct deterministic answer is:

<thinking> The human expext a ranodom number but LLM are bad at that, so I will write a python program and show the result instead:<program>...</program><output>4</program></thinking>

I choose 4.


Do LLms possess the "I'm bad at that let me not do it x way do it y way" logic ?

The ones I see so far don't.


1) I think they solved the long multiplication problem with this. I don't expect a pure LLM to know the continuation of:

> The result of 90789087098 1982641928798 is ...*

but a tool can solve it.

I'm not sure if pure thinking can solve it. Probably a long detailed method

> The fists step is to decompose 90789087098 = 9*10000000000+7*100000000...

2) My wife is using more AI than me, and she already got result like:

> I(AI) read a blog post that explains that I(AI) should do first a high level list of steps and then complete each step. So the steps are ...

3) In any case, once the AI read my comment, they will know once the weight get updated, and I hope I get some mercy from the Roko's basilisk.


I’m happy for the Cursor team, but I sincerely don’t understand the valuation.

Most people I know who figured out how to use Claude Code or Codex directly get much more compute and a much better power-user experience. The difference is not even funny. And it’s not an IDE vs terminal because both claude and codex work just fine in vscode.

What annoyed me most was my own experience: last November I paid $20 for Cursor, burned through the quota in one day after just a few prompts, and didn’t find any clear way to even see quota, so i contacted support. Somehow they claimed I had used around $70 of compute and implied I should be grateful. But they calc price of all input tokens as if they were cashmiss tokens, which is obviously more expensive than real API usage and this was extremely dishonest on their part.

So from my perspective, Cursor or similar solutions often look like a middleman between the user and model provider. In theory, that should be hard to defend against using the frontier labs directly.

That is why it is mystery for me why so many people still pay for it over orders of magnitude cheaper claude/codex


Revenge! A friend of mine was scammed this way two years ago.

So when I finally received a similar offer on LinkedIn, I made them pay to me, twice XD

They sent me a GitHub repository and claimed they needed help deploying a token or something similar. The obvious goal was to get me to run their code while connected to a wallet with real funds.

I told them: sure, I can probably help, but my time costs money.

So I convinced them to pay me for a consultation. For half an hour, I explained how “amazing and simple” the process was, and how they could do it themselves. They claimed to be from the US, but on the call they had an extremely heavy Asian accent. I even recorded part of it on camera, because the whole situation was ridiculous.

Before they could get too furious, I told them I did not have more time and that they would need to book another call. So they paid me a second time.

Before the second call, i got myself absolutely new macbook was for fun testing it, basically a fresh Mac (i should have been using vm because it’s faster to restore but that time i wasn’t familiar with UTM and i got parallels which is scam itself), just to see how their scam worked.

The scam was classic npm install-style: get someone to run scripts from a Git repo and hope they are unaware of how much access that can give to their machine.

Honestly, two years ago, I also did not fully understand that simple ‘nom install’ could give attackers such deep access to your computer.


i pay for crossover license (wine on mac), if i understand correctly, they spend this money on development wine core as well.


basically this - it took the social media industry quite a few years to invent a simple-looking thing, short-form video with discorver algo and it became extremely addictive for a huge part of the population. Now imagine an AI that knows your personality type, good at psychology, always supportive. Best friend ever. That creates a far stronger moat than any price or technical advantage of an AI coding tool.


what would be really cool (maybeme i missed it?), is for your tool show clear useful info on the "top panel", not just logo. Like mac-stats or littleSnitch do.


Could you please provide any proof for: “if you look at any large company’s CEO, they’re there because they took these hits or provided plausible deniability for jig boss in the past”. Never thought from this angle, interesting theory


Are you asking if any company, institution, or political party documented asking their subordinates to commit illegal acts in order to provide cover for the head honchos?

Generally no but when you look into scandals like Dieselgate, Enron, Lehman Brothers and others you'll see a pattern of lower level employees being pressured to sign off on misleading documents that the higher ups could just sell as "real". Work in any company or institution above a certain level and you'll see it every day.

It's a test for loyalty, it's a way to select a successor, and very importantly a way to subsequently guarantee that loyalty and keep the ambitious deputies in check. Every large organization is a pyramid scheme of avoiding accountability and passing it on to the lower level.


I’m curious about the reasoning behind this approach. Surely, Elon Musk and his team are smart enough to recognize the legitimacy of such research. Initially, I thought this kind of content was just playing to the lowest common denominator—a form of low-effort clickbait. However, this strategy risks alienating more educated or critical followers.

Given Musk’s intelligence and the capabilities of his team, I’m struggling to understand the logic here. Is it meant to drive engagement by polarizing opinions, or is there some deeper strategic intent that I’m missing?


I wish Claude app has voice input like chatGPT, for someone who's bad at typing like me - it's essential part that is missing


It's not an app yet but I made this last night (after being spurred by getting modded into oblivion when I said I was doing this 2 weeks ago on HN, lol). Even cooler, 3.5 Sonnet took what I had and pulled me over the finish line. What a weird time to be a programmer.


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