and you know that AI wrote all of it with minimal human supervision.

side note: last few days I noticed that vscode stopped leaking memory all over the place. when left idle it was taking all the ram I had + 20gb of swap space

and recently I noticed that I have half of the ram free.

I use insiders build btw, so stable might still not have those improvements

unfortunately you cannot chain it with any additional layer or offload to disk later on, because recompression breaks idle tracking by setting timestamp to 0 (so it's 1970 again)

https://gist.github.com/Szpadel/9a1960e52121e798a240a9b320ec...

it would be great if that could be in the article in the first place. (I'm assuming you are the author)

I was also burnt many times where some software docs said one thing and after many hours of debugging I found out that code does something different.

LLMs are so good at creating decent descriptions and keeping them up to date that I believe docs are the number one thing to use them for. yes, you can tell human didn't write them, so what? if they are correct I see no issue at all.

I used minimax M2 (context it's very unreliable) for installation and it didn't work and my document folder is missing, help

how do you even debug this? imagine you some path or behaviour is changed in new os release and model thinks it knows better? if anything goes wrong who is responsible?

Comments URL: https://news.ycombinator.com/item?id=46628643

Points: 1

# Comments: 2

but of course they have to pay for training too.

this looks like short sighted money grab (do they need it?), that trade short term profit for trust and customer base (again) as people will cancel their unusable subscriptions.

changing model family when you have instructions tuned for for one of them is tricky and takes long time so people will stick to one of them for some time, but with API pricing you quickly start looking for alternatives and openai gpt-5 family is also fine for coding when you spend some time tuning it.

another pain is switching your agent software, moving from CC to codex is more painful than just picking different model in things like OC, this is plausible argument why they are doing this.

they probably design this system to be used for government elections, how they can convince anyone to use it when they do not use it for their own elections?

Code quality was fine for my very limited tests but I was disappointed with instruction following.

I tried few tricks but I wasn't able to convince it to first present plan before starting implementation.

I have instructions describing that it should first do exploration (where it tried to discover what I want) then plan implementation and then code, but it always jumps directly to code.

this is bug issue for me especially because gemini-cli lacks plan mode like Claude code.

for codex those instructions make plan mode redundant.

elastic stack is so heavy it's out of question for smaller clusters, loki integration with grafana is nice to have but separate capable dashboard would be also fine

even backblaze bought drives in supermarket when there was HDD shortage

I believe this might be current most popular application using this library.

I'm surprised it isn't included in this showcase

because a <= b is defined as !(a > b)

then:

5 < NaN // false

5 == NaN // false

5 <= NaN // true

Edit: my bad, this does not work with NaN, but you can try `0 <= null`