271–280 of 326 posts
Author here! Grateful for the kind words, human communities like HN really hit differently when you spend the whole day chatting with sycophantic and bullshitting agents (including to make this page). I'm currently adding a search bar as well as increasing the data to 1000 PR per day. A nice thing that is not obvious on the main page is that the dataset and analysis are updated daily using Github Actions (at least wh…
Earlier quoted context omitted.
That's most likely what's happening. SNR will constantly decrease as LLM content is so much quicker and cheaper to generate, which makes it more statistically significant, which will make it more "relevant" for future models. A positive feedback basically.
An audio feedback distortion effect comes to mind.
Author here! Grateful for the kind words, human communities like HN really hit differently when you spend the whole day chatting with sycophantic and bullshitting agents (including to make this page). I'm currently adding a search bar as well as increasing the data to 1000 PR per day. A nice thing that is not obvious on the main page is that the dataset and analysis are updated daily using Github Actions (at least wh…
Nice work. I would suggest rewriting your README with Gemini, the most human of them, so it doesn't read exactly like the thing you are pointing at: https://github.com/louisabraham/load-bearing
Besides vocabulary I'd also be curious about how it structures sentences. The "X, not Y" is well known, but another thing that bothers me is "It s no " instead of "It doesn't ". For example: "the list contains no string" or "it changes no behavior" or "it holds no directory".
Interesting response from Claude, when I attempted to reduce the "load-bearing" in its responses: I added to my global prompt: - Orwell's first rule: never use a metaphor you're used to seeing in print. "Load-bearing", "the crux", "first-class citizen" signal insight instead of showing it. Name the specific mechanism when I asked what it thought of the change, its reply was: The Orwell bullet fights my own system pro…
So all it'd take for anthropic to fix this is to just adjust their system prompt? lmao
To all the people in the HN comments saying negative things about Claude: why don't you just use other models instead?
Earlier quoted context omitted.
That's most likely what's happening. SNR will constantly decrease as LLM content is so much quicker and cheaper to generate, which makes it more statistically significant, which will make it more "relevant" for future models. A positive feedback basically.
An audio feedback distortion effect comes to mind.
https://www.youtube.com/watch?v=Cjntrqhn8pk
Alan Kay performs an improvisational avant garde layered audio feedback loop about Claude Shannon, live online during Kristen Nygaard's 100-year birthday celebration.
Alan was scheduled to talk about how encountering Simula sparked his early thoughts about objects. During setup, somebody had the live stream playing out loud near an open Zoom mic, so his own voice kept arriving back in his ears about 21 seconds late, over and over.
What he said was not random: "Shannon gave us a way of dealing with noisy channels." And: "I think about that almost every day. I realize what the fuck is going on and it's just so amazing." Shannon's noisy channel coding theorem is the math for exactly the kind of channel that was garbling him as he praised it.
Alan joked it was "being rerouted to Mars and back." At the speed of light, a 21 second round trip is about 3 million km one way -- eight trips to the Moon and back, not even a twentieth of the way to Mars at closest approach.
This is an accidental Zoom performance of Alvin Lucier's "I Am Sitting in a Room" (1969), where Lucier re-recorded his own voice in a room until only the room's resonance remained. Here what remains is the network: delay, compression, dropouts.
Bonus noise: YouTube's auto-transcript bleeps Alan's enthusiasm into [ __ ]. So the full chain is: Alan's voice, Zoom, stream, room, Zoom again times three, my screen recording, YouTube's speech recognizer, a censored transcript.
The fix: "Just turn off the audio at your end on Zoom."
Kristen Nygaard 100 Years — Celebration Symposium (Aarhus University, Aug 27 2026): https://cs.au.dk/nygaard100years/celebration
Entire Nygaard Symposium Recording (Alan Kay's talk begins at 3:27:49): https://au.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=fe0...
Alan Kay: https://en.wikipedia.org/wiki/Alan_Kay
Claude Shannon: https://en.wikipedia.org/wiki/Claude_Shannon
Information Theory: https://en.wikipedia.org/wiki/Information_theory
Noisy-Channel Coding Theorem: https://en.wikipedia.org/wiki/Noisy-channel_coding_theorem
Audio Feedback: https://en.wikipedia.org/wiki/Audio_feedback
Video Feedback: https://en.wikipedia.org/wiki/Video_feedback
Space-Time Dynamics in Video Feedback: https://www.youtube.com/watch?v=B4Kn3djJMCE
Live Looping: The History And The Practice by Stephen Garza: http://computermusic2008.wikidot.com/live-looping:history-an...
I Am Sitting in a Room: https://en.wikipedia.org/wiki/I_Am_Sitting_in_a_Room
Alvin Lucier on "I am sitting in a room": https://www.youtube.com/watch?v=v9XJWBZBzq4
I was pleasantly surprised when I attempted to scroll down and realized everything the author wanted to present fit on-screen. It's almost ironic that this site is able to make such an obvious, compelling presentation without being overly verbose or complicated (something which LLMs have a hard time doing). I wouldn't read TOO deeply into what is being presented, but the author has done a good job to not inject their…
> I suspect, as we continue forward, humans will slowly start to adopt the language of LLMs, or at least certain language quirks that come from interacting with LLMs. Something I've noticed in my own writing is that I now present lists of examples in a consistent way: "... such as , , etc., ...". Why would you consider using lists an "LLM" language thing? I really don't understand this concept. Like even this project…
Granted picking apart single words outside of context doesn’t give the full picture. (well except “load bearing” which is turning into a meme at this point)