Aug 07, 2025

Reimagining healthcare delivery and public health with AI

Dr. Umair Shah, former Washington State Secretary of Health, and Dr. Gianrico Farrugia, CEO of Mayo Clinic, discuss the practical applications and strategic imperatives of AI in public health and clinical care. They explore how AI can shift public health from a reactive to a proactive model, the necessity for a new data-centric architecture in healthcare systems, and the transformative potential of generative AI beyond mere optimization of current workflows.

Aug 07, 2025

Streamline evaluation, monitoring, optimization of AI data flywheel with NVIDIA and Weights & Biases

A walkthrough of the NVIDIA Data Flywheel Blueprint, demonstrating how to use production data and Weights & Biases to systematically fine-tune AI agents. This process enhances model accuracy and efficiency by creating a continuous improvement cycle, moving beyond the limitations of prompt engineering.

Aug 07, 2025

Some Principles From Real World Internal Developer Platform Engineering • Russ Miles • GOTO 2024

Russ Miles shares his deeply personal and professional journey to define the principles of effective internal developer platform engineering. He argues for a shift from a technology-first approach to 'compassionate technical product stewardship,' using powerful metaphors like the 'ski resort' to illustrate how platforms should create safe, empowering habitats for developers to thrive.

Aug 07, 2025

The AI-Native Notebook That Thinks Like a Spreadsheet

Akshay Agrawal, CEO of Marimo, discusses how Marimo addresses the critical flaws of traditional notebooks like Jupyter. He explains its reactive architecture, the benefits of storing notebooks as pure Python files for version control and reusability, and its AI-native features that leverage runtime context for more intelligent LLM-assisted coding.

Aug 06, 2025

Gpt-oss, Genie 3, Personal Superintelligence and Claude pricing

The panel discusses OpenAI's strategic release of open-weight models (`gpt-oss`), the implications of Google DeepMind's immersive 3D world generator (`Genie 3`), the economic realities behind Anthropic's `Claude Code` rate-limiting, and the competing visions of "Personal Superintelligence" from major players like Meta, OpenAI, and Anthropic.

Aug 06, 2025

How to look at your data — Jeff Huber (Choma) + Jason Liu (567)

A detailed summary of a talk by Jeff Huber (Chroma) and Jason Liu on systematically improving AI applications. The talk covers using fast, inexpensive evaluations for retrieval systems (inputs) and applying structured data analysis and clustering to conversational logs (outputs) to derive actionable product insights.