the implementations have a distinctly "I wrote this at a 3 AM hackathon" vibe
The LLM handles the natural language interaction and orchestration, while the computer algebra system does what it does best ... exact symbolic manipulation.
Wow, incredible. I told myself I’d stop waffling and just buy the next 800gb/s mini or studio to come out, so I guess I’m getting this.
Not sure how much storage to get. I was floating the idea of getting less storage, and hooking it up to a TB5 NAS array of 2.5” SSDs, 10-20tb for models + datasets + my media library would be nice. Any recommendations for the best enclosure for that?
IIRC when I played KSP it was necessary to point slightly down if you wanted to reach orbit in a continuous burn, rather than waiting to burn more at perigee. Is that true in general?
(was playing with a mod that models ullage, so relighting was quite finicky)
For C++, `bit_cast<uint32_t>(0.f)` should be Well Defined, right? I'm curious, in C, is union-casting float->uint32_t also Perfectly Legal And Well Defined?
Funny that when I reached the "Key Findings" section, my brain immediately parsed it as ChatGPT output. Maybe it's the bullet points, the word choice, or just the font...
Very cool! I assume it uses WebCodec VideoEncoder to encode in browser, maybe with a wasm ffmpeg fallback? How reliable/easy to use have you found that?
ZKML is actually not horrible, probably only 100-1000x overhead atm. Unfortunately it doesn’t solve the problem, you would need FHE which has much higher overhead
Does anyone have recs for doing really low level performance tuning on Apple Silicon? Xcode Instruments isn’t very easy to use or interpret. Things like what % of time is spent on memory stalls, simd units, etc
I’ve always thought it was strange that btc community encourages only running core, rather than having several implementations to make consensus more robust
Essentially you use a fluid which freezes at the bottom of the ocean and loses volume (some kind of paraffin)
And then you hook it up with some actuated valves and N2 accumulators so the volume change and energy harvesting happens "out of phase" - at the surface, you can deflate an external bladder and sink, and at the bottom, you use some stored energy to reinflate the bladder
With a large enough volume you get near infinite range, only have to pay for payload and any onboard electronics
I'm curious, do you have any intuition for what percent of the time is spent shifting & masking vs. adding & subtracting (int32s I think)? Probably about the same?
The LLM handles the natural language interaction and orchestration, while the computer algebra system does what it does best ... exact symbolic manipulation.
this smells like claude :D