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13:46
I BUILT A FULLY AUTOMATIC MANSPLAINER
2026-03-06 23:07:33 Yannic Kilcher
2:33:37
Traditional X-Mas Stream
2025-12-28 13:45:45 Yannic Kilcher
Traditional Holiday Live Stream
2025-12-28 13:41:54 Yannic Kilcher
47:2
TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis)
2025-12-27 15:33:29 Yannic Kilcher
32:31
Titans: Learning to Memorize at Test Time (Paper Analysis)
2025-12-14 17:22:15 Yannic Kilcher
40:10
[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)
2025-11-01 18:39:06 Yannic Kilcher
13:19
[Video Response] What Cloudflare's code mode misses about MCP and tool calling
2025-10-19 12:58:51 Yannic Kilcher
48:57
[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)
2025-10-11 18:07:41 Yannic Kilcher
7:9
AGI is not coming!
2025-08-09 12:39:28 Yannic Kilcher
37:49
Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)
2025-07-23 13:10:52 Yannic Kilcher
47:51
Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)
2025-07-19 17:19:45 Yannic Kilcher
56:26
On the Biology of a Large Language Model (Part 2)
2025-05-03 18:16:29 Yannic Kilcher
54:5
On the Biology of a Large Language Model (Part 1)
2025-04-05 19:17:00 Yannic Kilcher
1:9:0
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Paper Explained)
2025-01-26 16:03:48 Yannic Kilcher
36:15
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
2024-12-25 00:39:33 Yannic Kilcher
48:53
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)
2024-12-10 17:09:46 Yannic Kilcher
28:23
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)
2024-11-23 18:17:14 Yannic Kilcher
37:6
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
2024-10-19 18:59:43 Yannic Kilcher
27:48
Were RNNs All We Needed? (Paper Explained)
2024-10-12 14:55:34 Yannic Kilcher
53:2
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)
2024-10-06 00:55:47 Yannic Kilcher
1:3:56
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)
2024-08-04 17:37:17 Yannic Kilcher
49:45
Scalable MatMul-free Language Modeling (Paper Explained)
2024-07-08 22:15:09 Yannic Kilcher
1:11:58
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)
2024-06-26 20:20:05 Yannic Kilcher
57:0
xLSTM: Extended Long Short-Term Memory
2024-06-02 01:23:01 Yannic Kilcher
29:22
[ML News] OpenAI is in hot waters (GPT-4o, Ilya Leaving, Scarlett Johansson legal action)
2024-05-21 20:04:49 Yannic Kilcher
33:26
ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)
2024-05-01 18:03:14 Yannic Kilcher
39:14
[ML News] Chips, Robots, and Models
2024-04-30 22:13:42 Yannic Kilcher
37:1
TransformerFAM: Feedback attention is working memory
2024-04-29 00:19:49 Yannic Kilcher
17:47
[ML News] Devin exposed | NeurIPS track for high school students
2024-04-27 13:33:41 Yannic Kilcher
37:17
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
2024-04-25 01:11:42 Yannic Kilcher
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