Almost certainly. Someone no-one has ever heard of before driving a hallucinating AI claims to have done what the world's best cryptographers have been unable to do. Just wait a day or two for the first crypto person who notices to pick the claim to pieces.
>Just wait a day or two for the first crypto person who notices to pick the claim to pieces.
we went to cryptographic experts first and published second, after they said it is a very good result and worth publishing. We've given a lot of help for reproducibility, the c and python programs encode the claims very precisely and anyone can verify the claims in ten minutes. The bottom line is that you wouldn't have seen this article if cryptographers hadn't seen these results first and liked them.
edited to clarify, thanks for pointing it out. It wouldn't be responsible for us to only publish when we got to the same stage for SHA-256, since at that point TLS and other certificates would be considered compromised.
They certainly have ambitions – the most recent changelog claims to add "Full PCB design pipeline: schematic capture, routing, DRC, Gerber export, and signal integrity simulation."
It also seems to have a physics engine, a slicer for 3D printing, an embroidery mode, and a entire ecosystem of math crates (https://tang.toys/).
Whether any of that works – or whether it's pure LLM slop – is less clear. I tried to import a trivial STEP file, and it crashed my browser tab [1]. Every commit is co-authored by Claude.
So far, he’s shown incredible productivity (with Claude Code). I integrated his vcad into my toy project here, and it worked on the first try, which is quite impressive for such a young project:
https://github.com/darwin/supex/tree/dev
By definition, you can't interpolate a sample. A sample is a measured value.
What you can do, if and only if you have an exactly repeating signal triggering at the same point within a cycle, is change the delay between the trigger and sample, and repeat. In other words, sample at different times within the same signal (since it's exactly repeating), to build up samples in time, of that waveform, to whatever time resolution you want.
Of course, you're limited to any noise in the trigger, variation in the signal, etc.
This is how you can record light moving through your garage [1]!
I understand, but that's my point, it's not interpolated!
The number he's referring to is in units of samples per second. It's not doing interpolation between samples, to achieve a high samples per second, because that's not possible, which is my point. Interpolation results in an imagined value, but samples are measured values.
It would be correct to say that the values between samples are interpolated, but the subject of interpolation isn't applicable for anything mentioned in this comment chain.
Ah you are referring to the 'sps' bit. Ok, but I think the extra sentence is enough clarification of what they mean, even if they're wrong about what the device is doing.
The only time these are interpolating is when they are visualizing, there is no point (hah) in storing interpolated data, you can generate that whenever you want.
Not the original reply, but I support the correction here. Regardless of how pedantic/nitpicking it seems, I remember getting confused about this a lot when learning digital signal processing. Simply because its really easy to upsample.. or look at an upsampled result and get confused by that
The giveaway is that LLMs love bulleted lists with a bolded attention-grabbing phrase to start each line. Copy-pasting directly to HN has stripped the bold formatting and bullets from the list, so the attention-grabbing phrase is fused into the next sentence, e.g. “Potential for abuse Attestation enables blacklisting”
Calling this a "giveaway" is kind of hilarious. LLMs use bulleted lists because humans have always used bulleted lists—in RFCs, design docs, and literally every tech write-up ever. Structure didn't suddenly become artificial in 2023. lol.
[1] https://stateofutopia.com/papers/2/intermediate-report.pdf
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