AI Research & Science

0:56

Why do AI products fail?

0:32

Forestry + AI: Amii and Carson Integrated (Teaser)

8:01

Underwater Robotics: Physical AI's Toughest Test

1:40

How Much Can We Trust AI? 🤖🔒

8:49

OpenAI Just Changed What It Means To Do Math

13:25

NPUs and the Shifts in Gaming Hardware | AI 101

1:13:03

Rethinking LLMs: Why Diffusion Could Change How We Build AI

32:57

Reducing Hallucinations: Merlin-Arthur Training and Evaluation EXPLAINED

18:35

AI agents keep escaping containment

1:11:46

How does Groq LPU work? (w/ Head of Silicon Igor Arsovski!)

4:41

How To Solve It With Code — Overview

1:12:58

Research Jam #22

5:59

Python Tutorial: How to use Weaviate and Jina AI for Image Search!

52:01

Neural representations of changing environments for navigation and memory in brains and machines

2:10

Thermochromorph: Transforming images through heat

0:54

Will AI replace product managers?

57:31

Actionable Interpretability for Language Model Reasoning

9:45

So What Exactly is Physical AI?

27:15

How A Mathematician Keeps Computers Honest

5:38

DeepSeek Solved AI’s Memory Problem

2:55:30

Analysing the AI of SPRAWL Zero | AI and Games Live

10:54

Industry vs. Academia: Why I Chose a PhD After Google & Microsoft

1:31:09

LLM Lecture: A Deep Dive into Transformers, Prompts, and Human Feedback

22:29

o3: Pushing the boundaries of AGI (and of coding)

1:05:05

GPT-Fast - blazingly fast inference with PyTorch (w/ Horace He)

41:47

How To Solve It With Code—background on the course; a discussion with Jeremy and Hamel

53:19

Privacy in LLMs @ DLCT

12:12

Full Stack Neural Search

46:27

Multiscale Modeling of Material Interfaces: From Quantum Descriptors to Machine Learning, Tian Tian

10:17

MIT Professor on Generative AI & Computer Vision: Part 1

0:54

How do you prioritize a product roadmap?

1:01:03

LLMs and Concepts in Natural Language

10:01

Inside AI's Hidden Supply Chain

0:55

From Engineering to AI Research at MIT 🤖🔬

33:17

DeepMind's New AI Just Cracked The Code Of Life

1:14

Forza's New Drivatar Is Lying to You

1:02

From High School to Google DeepMind: Aida Nematzadeh's AI Journey #ai #machinelearning

0:58

The best idea in NLP since 2017

48:44

Will robots explode in capabilities like LLMs did?

59:19

InstructPix2Pix (w/ OpenAI's Tim Brooks)

39:38

Sarah Pan, teenage AI wizard

51:40

The AI Scientist @ DLCT

14:59

What lead Jina AI CEO Han Xiao to Neural Search?

55:45

Collective Resistance in AI Governance Systems, Blair Attard-Frost

3:41

MIT CSAIL PhD students recommend AI programs & weigh in on its future

0:52

Stanford Course: Transforming Opportunities into Great Products with AI

1:03:23

Learning Programming Abstractions for Automating Formal Verification

5:58

We want home robots. What's the hold up?

1:20

Can AI Learn the Laws of Physics? 🤖🌎

3:43

The Billion Dollar AI Advantage Is Disappearing

14:57

How Forza's New Drivatar System Created 'Bowie Knife 99' | AI and Games #85

2:03:08

Why Today's LLMs Still Don't Understand Culture | Simran Khanuja

1:11

Why do we need Tokenizers for LLMs?

0:51

What happens when AI pursues its own goals...

55:26

Ishan Misra (Meta) - Emu Video Generation

1:18:16

A Tour of the Solveit Platform

54:53

Research Jam #23

14:16

Jina AI DocArray - Documentation Overview

48:58

Optimization and Inverse Design of Quantum Systems, Dr. Rodrigo A. Vargas-Hernandez

11:57

MIT Professor on Generative AI & Computer Vision: Part 2

1:49

Course Overview: Transforming Opportunities into Great Products with AI

55:29

Sequential Optimization of Dynamically Augmented CVaR

1:17

Moltbook: Social Media for AI. What do MIT experts think? 🤖📱

3:36

AI That Understands the Laws of Physics with MIT CSAIL PhD Candidate Utkarsh

5:14

Claude Opus 5.5 AI: A Massive Leap Forward

2:54:30

The AI and Games 2023 Review & QnA

1:00

Role of Generative AI in improving medical research. #llm #medicalresearch #generativeai #podcast

9:52

Training large language models to reason in a continuous latent space – COCONUT Paper explained

1:06:42

Economist on AI, China, and the future of money

1:05:00

DeepMind's TacticAI: an AI assistant for football tactics | Petar Veličković

58:40

Build to Last — Chris Lattner talks with Jeremy Howard

1:16:06

Research Jam #24

13:29

Search through Y Combinator startups with Weaviate!

38:56

The Very Hungry Researcher: Form and Function in Procgen Research, Ross Mawhorter

2:28

A collaborative system that teaches AI models to sketch more like humans do

59:34

Webinar: What AI Can and Cannot Do: Intelligence Augmentation in Practice with Michael Bernstein

0:51

How Amii and Croptimistic used Machine Learning for Cereal Crop Detection

3:54

Heuristics: The Hidden Algorithms Powering AI Agents with MIT CSAIL Grad Student Pantea Karimi

2:39

CSAIL Alliances Member Update Fall 2026

5:16

Jev Just Made AI 200x Faster…But There’s A Catch

3:09:35

The AI and Games 2022 Review & QnA

1:31:40

Instruction Tuning, Prompt Engineering, & Self Improving LLMs | Dr. Swaroop Mishra

1:03

Only self-supervision

1:14:28

VR, DeepSeek, China, and an optimistic future

1:01:42

Building Julius AI to 500.000 users w/ Rahul (founder)

43:46

The Best Way to Read a Book (That Nobody's Doing)

59:39

Research Jam #25

54:16

DSPy Explained!

52:54

Understanding the Staged Dynamics of Transformers in Learning Latent Structure, Rohan Saha

2:21

Using generative AI to improve robots' jumping and landing abilities

1:00:30

Webinar: AI Agent Simulation of Human Behavior with Michael Bernstein

0:51

AI + Agriculture: See how Amii and Croptimistic are using AI for cereal crop detection

1:16

Why is ChatGPT so Fast? 🤖⚡Heuristics Research at MIT

1:38

AI, Architecture, and the Limits of Creativity 🤖🧠

5:11

DeepSeek Just Made AI Memory 4x Smaller!

3:06:05

10 Million Views / Alien Day QnA | AI and Games

37:32

Future of Software Development with LLMs, Advice on Building Tech startups & more | Pritika Mehta

6:09

s1: Simple test-time scaling: Just “wait…” + 1,000 training examples? | PAPER EXPLAINED

27:28

How DeepSeek built cutting-edge AI without top GPUs

58:19

Hamel Husain - Building LLM Apps in Production

17:52

How to Actually Understand Dense Machine Learning Papers - Solveit free lesson

1:08:09

Language Models Use Trigonometry to Do Addition @ DLCT

28:54

Structured Outputs with DSPy

50:19

Learning as Inference: Structure, Representation, and Interpretability, Bahareh Tolooshams

7:24

Sybil: An AI model that can predict lung cancer risk 6 years in advance

40:26

AI in Healthcare Series: Have We Already Bent the Healthcare Cost Curve?

4:05

AI + Agriculture: See how Amii and Croptimistic are bringing AI into the field

1:10

Using AI to Improve AI: The Future of Algorithm Design with MIT 🤖🧠

1:10

Could We Build a Digital Twin of the Brain? 🧠🤖

9:18

Humans + AI Cracked An Impossible Math Problem

1:49

Designing and Animating Alien: Isolation's xenomorph

35:23

Generative AI and the Art of Product Engineering | Golnaz Abdollahian

15:40

4-Bit Training for Billion-Parameter LLMs? Yes, Really.

1:40:00

Why a global federation might be needed to manage AI

1:05:20

Fine-tune LLMs 30x faster! With Daniel Han (Unsloth AI)

47:46

Research Jam #27

25:18

Llama 3 RAG Demo with DSPy Optimization, Ollama, and Weaviate!

43:09

Reward Design and Evaluation in Reinforcement Learning, Calarina Muslimani

12:19

MIT Prof. Explains How AI Can (& Can't) Help w/Coding: Part 1