1. I BUILT A FULLY AUTOMATIC MANSPLAINER All information about GTC and the DGX Spark Raffle is here: https://www.ykilcher.com/gtc Links: Homepage: https://ykilcher.com Merch: https://ykilcher.com/merch YouTube: https://ww 03/07 06:07 ♡
3. Traditional Holiday Live Stream https://ykilcher.com/discord Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ 12/28 20:41 ♡
4. TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis) Paper: https://arxiv.org/abs/2511.08923 Abstract: Diffusion language models hold the promise of fast parallel generation, while autoregressive (AR) models typically excel in qualit 12/27 22:33 ♡
5. Titans: Learning to Memorize at Test Time (Paper Analysis) Paper: https://arxiv.org/abs/2501.00663 Abstract: Over more than a decade there has been an extensive research effort on how to effectively utilize recurrent models and attention. 12/15 00:22 ♡
6. [Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff) https://arxiv.org/abs/2510.17558 Abstract: We propose an extension of the decoder Transformer that conditions its generative process on random latent variables which are learned wi 11/02 01:39 ♡
7. [Video Response] What Cloudflare's code mode misses about MCP and tool calling Theo's Video: https://www.youtube.com/watch?v=bAYZjVAodoo Cloudflare article: https://blog.cloudflare.com/code-mode/ Links: Homepage: https://ykilcher.com Merch: https://ykilcher.c 10/19 18:58 ♡
8. [Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant) Paper: https://arxiv.org/abs/2508.21038 Abstract: Vector embeddings have been tasked with an ever-increasing set of retrieval tasks over the years, with a nascent rise in using the 10/12 00:07 ♡
9. AGI is not coming! jack Morris's investigation into GPT-OSS training data https://x.com/jxmnop/status/1953899426075816164?t=3YRhVQDwQLk2gouTSACoqA&s=09 08/09 18:39 ♡
10. Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis) Paper: https://research.trychroma.com/context-rot Abstract: Large Language Models (LLMs) are typically presumed to process context uniformly—that is, the model should handle the 10 07/23 19:10 ♡
