Recent submissions

Comment · 3 months ago
or the cache retrieval function for a key retrieving the wrong entry
Comment · 3 months ago
I found LLMs very good at reading human chat logs and doing psychological analysis of the participants, and of the interplay

hard to imagine how they do that without a good understanding of emotions/theory of mind

if they pattern match to psychology books, that is still functional understanding since they can operationalize them

Comment · 4 months ago
Anthropic is selling API tokens at 80% margin.

And API is 80% of their business (subscriptions the other 20%)

Comment · 4 months ago
you assume that the error will always be in one direction

and if sometimes you ventilate a bit sooner than required, at 700, what?

businesses will not put $200 meters in every room

Comment · 4 months ago
could be a selection effect at work
Comment · 4 months ago
Comment · 4 months ago
if you just want to know if CO2 is too much, 300ppm precision is fine.

I dont need to know the exact level, just give me a green/yellow/red LED and make it cheap so I can have a sensor in every room

Comment · 4 months ago
big AI labs make so much money because they have a good (amazing) product
Comment · 4 months ago
curious if you tried local LLM models for OCR, like a Gemma4, or your volume is too much for that
Comment · 4 months ago
> we are able to make the rock calculate

I'm so tired of this cliche...

a CPU is a rock about as much as much as an airplane is a rock (aluminium ore), "look, we are able to make rocks fly on their own power, isn't that awesome?"

people using it think they are impressing the normies, but it just shows them being condescending "of course I dont believe rocks calculate, but I assume you are so stupid and know so little that you might actually believe me and be impressed by my people"

Comment · 4 months ago
plot twist: the vast majority of "studies" are like this, complete garbage, but called "science" because they put a table with p-values in
Comment · 4 months ago
damn, good observation, when my data analysis python script goes wrong and allocates 24 GB of RAM on a 32 GB computer, it crashes (gets killed) with "out of memory" error. I've never seen something else getting killed
Comment · 4 months ago
basic supply/demand

demand moves to cheaper providers, they ran out of capacity and increase price

literally why "commodities" are "commodities" - the more interchangeable a product is the more exposed it is to supply/demand mechanics

Comment · 4 months ago
you will not want 20 different accounts at 20 providers, you'll have one at a "token arbitrage" provider - OpenRouter

drop-shipping is a form of arbitrage

Comment · 4 months ago
where do nuclear weapons fit in? do they make markets more/less efficient/competitive?

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