LoRA
also referred to as: lora's
5 statements across 5 episodes · 2 bullish · 1 bearish · 4 people on the record · first statement Aug 31, 2023 by Eugene Cheah · said 21 times in 10 episodes since 2023 · across every show →
Mentions by year
brought up most by Shawn Wang (8), Soumith Chintala (2), Jeremy Howard (2), Allen Park (2), Gorkem Yurtseven (1), George Hotz (1), Dan Biderman (1)
tap a year for its mentions
2026 6 mentions in 3 episodes 2 per episode
- The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO
- Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- every mention in 2026, scene by scene →
2025 10 mentions in 4 episodes 3 per episode
2024 4 mentions in 2 episodes 2 per episode
2023 1 mention in 1 episode
Everything said about LoRA, oldest first
Aug 31, 2023 neutral
Jan 2, 2024 positive
Jul 29, 2024 neutral
Oct 16, 2025 bullish
Corbitt: No downside to using LoRAs for task-specific model customization
“For the types of training runs that we're interested in, where it's like, hey, I'm doing a relatively lightweight customization of an existing model for a specific task, there's really no downside to using Allura, and there's a lot of, like, upsides from an, l…”
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…”