Results for “train”
The Wild Business of Train Robberies
0:11begin tonight with the latest on an attempted train burglary just east of Bakersfield of merchandise from the0:17trains left on the tracks suspected of being taken from the trains by thieves1:20anywhere pull it up on the traps you want to put like the hazards or something on so train we'll see it from the back enhanced Graphics that was kind
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
1:17the post-training lead at
the Allen Institute for AI, and author of the definitive book on
Reinforcement Learning from Human Feedback.3:43constraints. I don't think the
ideas will be proprietary, but rather the resources that are needed
to implement them. And so I don't see6:59And they're smart and realize the same
constraints, which is that a lot of top US tech companies and other IT companies
won't pay for an API subscription to
How to Train According to the Experts
0:50evidence-based but had actionable insights for people it's called the How to Train according to the expert's guide1:11hypertrophy training or perhaps even body recomposition so in this training guide we cover a lot of different1:18aspects of exercise including training protocols to improve cardiorespiratory Fitness training protocols to delay
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
3:39Nathan, can you describe what DeepSeek-V3 and DeepSeek-R1 are, how they work, how they're trained?4:08like what you would use in ChatGPT. They also release what is called the base model, which is before these techniques of post-training.4:40of overlapping training steps to DeepSeek-V3, and it's confusing that you have a base model
Dr. Layne Norton on Building Muscle – Insights on Diet, Training, and Supplements
0:00you can't out science hard training you've got to you've got to do the work if you want to get the results your body5:07the biggest lever you have is consistency with nutrition and training and we were talking yesterday on the12:41their lean body mass and maybe body recomposition and I know we're going to talk about training and stuff but like
"I was caught & sent to labor camp... then I escaped again" | North Korean Defector Charles Ryu
14:21i'm not saying that it was like like really easy you can just get on the train it's not like that but you still have to get27:20not close to the border oh it's like really far it's really fun two days train um trip got it um yeah and then my31:57yellow river okay so you're far but you have to take a train together yeah i take a train for like two days is that hard to take a train no i mean
Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football | Lex Fridman Podcast #500
0:07UFC undefeated with a perfect twenty-nine and O record. It was a huge honor for me to meet him, to train together, and to have this deep conversation.1:49- Great. Let's start from the beginning. So that gym back in Dagestan where you trained is legendary for its spartan conditions.2:14Can you try to explain or maybe reflect on what factors in that gym, those training sessions, that life in Dagestan created so many champions?
Cursor Team: Future of Programming with AI | Lex Fridman Podcast #447
15:08how do you train the model? So, I think that helps us to have all of it the same people working on the entire experience end to end.15:17- Yeah, it's like the person making the UI and the person training the model sit like 18 feet away.19:37They're incredibly low latency, so you need to train small models on this task.
WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4
21:08Let's say you want to train a system to recognize simple shapes, images. Okay, what is an image for a computer or for an artificial system?22:16And then you want to train a system to recognize simple shapes. Let's say distinguish the shape of a C from the shape of a D23:19So now how do you train this? So, training consists in changing the value of those weights. You can have positive or negative weights.
