The Information Bottleneck
Two AI Researchers - Ravid Shwartz Ziv, and Allen Roush, discuss the latest trends, news, and research within Generative AI, LLMs, GPUs, and Cloud Systems.
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Recent Episodes
Feb. 16, 2026
EP25: Personalization, Data, and the Chaos of Fine-Tuning with Fred Sala (UW-Madison / Snorkel AI)
Fred Sala, Assistant Professor at UW-Madison and Chief Scientist at Snorkel AI, joins us to talk about why personalization might be the next frontier for LLMs, why data still matters more than architecture, and how weak super...
Feb. 8, 2026
EP24: Can AI Learn to Think About Money?" - with Bayan Bruss (Capital One)
Bayan Bruss, VP of Applied AI at Capital One, joins us to talk about building AI systems that can make autonomous financial decisions, and why money might be the hardest problem in machine learning. Bayan leads Capital One's ...
Jan. 31, 2026
EP23: Building Open Source AI Frameworks: David Mezzetti on TextAI and Local-First AI
David Mezzetti , creator of TextAI, joins us to talk about building open source AI frameworks as a solo developer - and why local-first AI still matters in the age of API-everything. David's path from running a 50-person IT c...
Jan. 20, 2026
EP22: Data Curation for LLMs with Cody Blakeney (Datology AI)
Cody Blakeney from Datology AI joins us to talk about data curation - the unglamorous but critical work of figuring out what to actually train models on. Cody's path from writing CUDA kernels to spending his days staring at w...
Jan. 6, 2026
EP21: Privacy in the Age of Agents
Guest: Niloofar Mireshghallah (Incoming Assistant Professor at CMU, Member of Technical Staff at Humans and AI) In this episode, we dive into AI privacy, frontier model capabilities, and why academia still matters. We kick of...
Dec. 15, 2025
EP20: Yann LeCun
Yann LeCun – Why LLMs Will Never Get Us to AGI "The path to superintelligence - just train up the LLMs, train on more synthetic data, hire thousands of people to school your system in post-training, invent new tweaks on RL-I ...