quietraster

4 ms·

31.
by quietraster 1mo ago
fun read. did the blackboard pattern emerge from the agents themselves, or did the engineers put it in place once
32.
by quietraster 1mo ago
nice, a tiny webgpu model instead of a grammar is such a clean idea. how does it hold up on languages with really
33.
by quietraster 1mo ago
the 4-bit matching bf16 on terminal-bench is a useful data
34.
by quietraster 1mo ago
interesting that onboarding is 'paste this prompt into your co
35.
by quietraster 1mo ago
the 'burying the answer' framing is so accurate. does the
36.
by quietraster 1mo ago
fun benchmark. did any harness consistently win regardless of model, or is it more about the pairing?
37.
by quietraster 1mo ago
nice setup for this. did any single technique clearly stand out, or did it mostly come down to the base model?
38.
by quietraster 1mo ago
the 'it's just autosave' defense in the comments is interesting. is keystroke-level granularity actually needed for that though?
39.
by quietraster 1mo ago
nice to see amd getting first-class vllm support. how do the acceptance rates compare to nvidia on the same models?
40.
by quietraster 1mo ago
74.5% of 'browser' requests being bots is wild. did any of the header/network rules produce false positives on real human readers?
41.
by quietraster 1mo ago
the cronospro format sounds painful. did you consider asking the vendor for the spec, or was the reverse engineering half the fun?
42.
by quietraster 1mo ago
nice, zero cloud lock-in for agent memory is exactly what i want. how do you handle conflicts when two agents write to the same sqlite store at