Re:1% vs. 67%: What happened when we stopped trusting embedd...
by Darkskiez on Monday January 12, 2026 @02:43AM
(#46585311)
Yay, we've found another way to give LLMs biases.
I can see how obscure but useful nuggets of information that you rarely need, but are critical when you do, will be lost too.
If the weighting was shared between users, an attacker could use this feedback loop to promote their product or ideology, by executing fake interactions that look successful.
Re:1% vs. 67%: What happened when we stopped trusting embedd...
by never_inline on Monday January 12, 2026 @03:23AM
(#46585590)
There's certainly an overlap between the crowd working on AI (since it's the current hype) and the crowd finding this sort of hyped up advertisement speak impressive.
It's pretty obvious that embeddings are not enough (and you need hybrid search or similar) for people who understand how they work. And yet there had been a flood of chat UIs in 2024 which are basically embed + cosine similarity, all having 10k+ stars. Now it seems to have slowed down.
All is because the taste for careermaxxing outweighs the taste for rigor in our industry. It's very sad.
Re:1% vs. 67%: What happened when we stopped trusting embedd...
by sbinnee on Monday January 12, 2026 @03:05AM
(#46585446)
AI slop indeed. But it caught my eyes nonetheless because I have been doing some work around the same concept. These days I found that GitHub is just flooded with "AI Agent Memory" modules, where in fact they are all skills-based (meaning all text instruction) solutions.
This feels like such an obvious LLM tell; it has that sort of breathless TED Talk vibe that was so big in the late oughts.
I can see how obscure but useful nuggets of information that you rarely need, but are critical when you do, will be lost too.
If the weighting was shared between users, an attacker could use this feedback loop to promote their product or ideology, by executing fake interactions that look successful.
It's pretty obvious that embeddings are not enough (and you need hybrid search or similar) for people who understand how they work. And yet there had been a flood of chat UIs in 2024 which are basically embed + cosine similarity, all having 10k+ stars. Now it seems to have slowed down.
All is because the taste for careermaxxing outweighs the taste for rigor in our industry. It's very sad.