xianshou

Joined 15 years ago

Karma
2,814
Submissions
302
Member since
May 1
I live in New York, work in finance, drink excessive amounts of coffee, and play chess.
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Recent submissions

Comment · 1 month ago
Ironically, "load-bearing" appears in the main text of the article that says never to use a single word the LLM suggests. Womp womp.
Comment · 2 months ago
the future is here and one should be thankful for its slightly uneven distribution. otherwise we would hardly have anything left about which to develop strong opinions!
Comment · 2 months ago
Really missed the opportunity for "Airemin".
Comment · 6 months ago
A lovely example of a study that is both obviously true and misses the point.

Music with lyrics directly interferes with any task that has a verbal component, and the worse you are at multitasking, the worse the interference. Despite being terrible at multitasking, I still listen to music with lyrics. Why? Principally because the alternative, hearing all the conversations in my immediate vicinity, is usually both more distracting and less pleasant. But there are also auxiliary benefits, such as an increase in "work stamina" and a passive signal to coworkers to interrupt only if it's important.

Now, I could listen to lo-fi all day, or three-hour soundtracks on Youtube, and sometimes do, but it gets boring pretty fast!

Anyway: obviously true, still worth it because the alternative is worse.

(By the way, other mitigating strategies: listening to music in a language you don't understand, or listening to lyrics so familiar you can screen them out. My top Spotify songs all get played several hundred times a year.)

Comment · 7 months ago
Even as someone extremely firmly on the other side of the AI debate, I must appreciate the craft.

Now, to give Claude the steganogravy skill...

Comment · 7 months ago
From the file: "Answer is always line 1. Reasoning comes after, never before."

LLMs are autoregressive (filling in the completion of what came before), so you'd better have thinking mode on or the "reasoning" is pure confirmation bias seeded by the answer that gets locked in via the first output tokens.

Comment · 7 months ago
I appreciate not having to read this guy again.
Comment · 8 months ago
Great work! Why no benchmarks though?
Comment · 9 months ago
Nice! 5 bucks says you can swap this in for your average software kanban and it does a better job.
Comment · 9 months ago
Safer than clawdbot/moltbot, I'll bet.
Comment · 9 months ago
Incidentally, Chroma also produced the single best study on long-context degradation that I've come across:

https://research.trychroma.com/context-rot

Before that, I cited nolima (https://www.reddit.com/r/LocalLLaMA/comments/1io3hn2/nolima_...) constantly to illustrate how difficult tasks involving reasoning or multi-step information gathering degraded much faster than the needle-in-haystack benchmarks cited by the major labs. Now Chroma is the first stop. Nice job on the research!

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