base model
also referred to as: base models
8 statements across 8 episodes · 2 bullish · 3 bearish · 8 people on the record · first statement Apr 23, 2025 by Sid Bendre · across every show →
Everything said about base model, oldest first
Apr 23, 2025 positive
Prompt routing scales better than model routing as base models improve
“For us, we've actually like figured that the like unit, the like The return on it was not actually that beneficial. What makes sense for us instead is, you know, like we use base models for like the final, like response. What makes sense, what makes more sense…”
May 23, 2025 neutral
Jul 29, 2025 negative
Fortuna: Base LLMs unsafely infer unconfirmed diagnoses from patient symptoms
“Patient, you know, they start to make these medical inferences. They're so smart, but they start to, like, infer things that the doctor didn't actually explicitly say. You know, for instance, a patient will say, like, I'm feeling sad and stressed out. Difficul…”
Sep 23, 2025 bullish
May 24, 2026 bearish
Updating mobile base models breaks per-app LoRAs, creating severe maintenance hurdles
“From a developer point of view, I think it will be very tricky because one, you don't want to have 20 different base models in the phone of the users. The battery will just die. You also don't want to have to update 20 LoRa every time you update the base model…”
Jun 22, 2026 negative
Fredrikson: Prompt engineering cannot reliably enforce AI agent security policies
“Oftentimes people will try and prompt their way around it, like adjust the system prompt or like engineer the agent in a way where you're interjecting all the time and reminding it of what the original Goal and objective was, and that'll get you a little bit o…”
Jul 22, 2026
Aug 3, 2026
Training speculative decoding models requires hidden states from the base model
“Now, with speculators today, you need to train the speculator using the base model itself, because you're getting hidden states out of the model from running inference on these specific prompts, and that is the training data you use to create the speculator.”