k-thimmaraju

4 ms·

1.
Ten ways an AI breaks under pressure. How many you can catch?(splabs.io)
2 points by k-thimmaraju 1mo ago|0 comments
2.
by k-thimmaraju 2mo ago
The "AI skill erosion" you're describing has a name and evidence behind it. Rossi, Fraccaro, and Manzotti wrote about this: passive reliance on AI output weakens activity-dependent brain plasticity, the same use-it-or-lose-it
3.
by k-thimmaraju 2mo ago
Worth noting the business model here. Minute ships the actual model, Whisper plus Qwen or Gemma, fully offline. Works because for a meeting-notes app the model is a commodity, the moat is the UX and the fact that nothing leaves the machine.
4.
Real-time monitoring of chatbots and agents for AI compliance and governance(splabs.io)
1 points by k-thimmaraju 4mo ago|0 comments
5.
Nyx Wave: an AI agent that extracted expert knowledge via email(splabs.io)
2 points by k-thimmaraju 5mo ago|0 comments
6.
Show HN: How to analyze your LLM output – A behavioural health monitor for LLMs(splabs.io)
10 points by k-thimmaraju 5mo ago|7 comments
7.
by k-thimmaraju 5mo ago
I ran the data through our LLM behavioral analysis system at splabs.io, and it alerts Red on the RLHF-optimized output compared to a Yellow on the no-RLHF. You can check out the analysis here: https://splabs.io/ai-psychosis-
8.
by k-thimmaraju 5mo ago
Very interesting approach to showing the relationship between RLHF and AI Psychosis: the idea of taking clinical conversations and prompting the model with it seemed like a grounded start. As I'm also investigating AI Psychosis, this a