Exactly - it very likely was trained on it. I tried this with Opus 4.6. I turned off web searches and other tool calls, and asked it to list some filenames it remembers being in the 7-zip repo. It got dozens exactly right and only two incorrect (they were close but not exact matches). I then asked it to give me the source code of a function I picked randomly, and it got the signature spot on, but not the contents.
My understanding of cleanroom is that the person/team programming is supposed to have never seen any of the original code. The agent is more like someone who has read the original code line by line, but doesn't remember all the details - and isn't allowed to check.
Surely if I took a program written in Python and translated it line for line into JavaScript, that wouldn't allow me to treat it as original work. I don't see how this solves the problem, except very incrementally.
I don’t think you have to go from here to planned economy straight away. There are capital gains taxes between the current level and 100% which might produce better outcomes.
At first I thought it was brain slip in the HN title, then I saw TFA also said "clear", so thought it was perhaps a sarcastic jab at the original "clean" room story it is commenting on, but maybe in the end just an error ?
It would also be interesting to see how well the best open weights models such as Kimi K2.5 can do on a task like this with the same prompting to first gather specs, etc, etc.
In fact this would make for an interesting benchmark - writing entire non-trivial apps based on the same prompt. Each model might be expected to write and use it's own test cases, but then all could be judged based on a common set of test cases provided as part of the benchmark suite.
it wasn't ignored on HN, there were many articles correctly noting that building data centers in space is a stupid stupid idea because cooling things there is infeasible
Google, Blue Origin and at least 5 other smaller companies have announced plans to build data centers in space. My understanding is the cooling issue is not the show stopper you assume.
yup, bezos said "we will be able to beat the cost of terrestrial data centers in space in the next couple of decades". presumably this means they'll need huge ass radiators, so its all about bringing down launch costs since they'll need to increase mass.
Was doing some back of the envelope math with chatGPT so take it with a grain of salt, but it sounds like in ideal conditions a radiator of 1m square could dissipate 300w. If this is the case, then it seems like you could approach a viable solution if putting stuff in space was free. What i can't figure out is how the cost of launch makes sense and what the benefit over building it on the ground could be
> Don't believe me? Copy-paste his post into any LLM and ask it whether the post is contradictory or whether it's ambiguous whether this is production-grade software or not.
Why would a random video from 6 years ago be played on a left-leaning media network? isn't this video from the channel of a left-leaning media network?
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