Posts

The History of The Fintech Industry, Explained

The History of The Fintech Industry, Explained

a16z's David Haber and Plaid CEO Zach Perret chart the dramatic seasons of fintech, from the explosive VC-fueled boom of 2020-2021 to the deep freeze of 2022 and its current resurgence. They explore the transformative forces reshaping the industry today, including AI's dual role as both a primary tool for sophisticated fraud and the ultimate defense against it. The conversation also covers the rise of embedded finance, the renewed importance of deposits, and how incumbents are finally embracing external software, with Plaid's own journey serving as a microcosm of the industry's evolution.

Disney's AI bet: USD 1B OpenAI content deal explained

Disney's AI bet: USD 1B OpenAI content deal explained

Experts Tim Hwang, Marina Danilevsky, Martin Keen, and Kush Varshney discuss Disney's partnership with OpenAI, Time Magazine's 'Architects of AI' Person of the Year, NVIDIA's Nemotron 3 model release, and the implications of Anthropic's leaked 'Soul Document' for model alignment and the future of prompting.

AI Consulting in Practice – NLW, Super ai

AI Consulting in Practice – NLW, Super ai

The host of the AI Daily Brief, NLW, shares initial findings from a self-reported study of over 2,500 AI use cases across enterprises. The analysis moves beyond the 'AI bubble' narrative to uncover where organizations are genuinely finding value, detailing ROI distribution by company size, role, and use case, and highlighting the surprising impact of agents and risk reduction applications.

Clean Architecture with Python • Sam Keen & Max Kirchoff • GOTO 2025

Clean Architecture with Python • Sam Keen & Max Kirchoff • GOTO 2025

Sam Keen discusses his book “Clean Architecture with Python,” explaining how to apply architectural principles in a pragmatic, Pythonic way. The conversation covers thoughtful dependency management, the onion model, and the crucial link between good architecture and testability. Sam also explores how these principles provide a robust foundation for AI-assisted coding by creating well-defined, scoped problems for AI agents, ultimately leading to more maintainable and resilient software.

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

Jacob Kahn from FAIR, Meta, introduces the Code World Model (CWM), a new paradigm for AI models that learn from program execution rather than just code syntax. By training on detailed execution traces, CWM builds an internal world model of computation, enabling it to predict a program's behavior. This talk explores CWM's architecture, its highly scalable and asynchronous reinforcement learning setup, and groundbreaking applications like a 'neural debugger' that understands user intent from code structure and the potential to approximate undecidable problems like the halting problem.

How Intelligent Is AI, Really?

How Intelligent Is AI, Really?

Greg Kamradt of the ARC Prize Foundation explains how the ARC-AGI benchmark is shifting the focus of AI evaluation from memorization to true intelligence, defined as the ability to generalize and learn new skills efficiently. He discusses the history of ARC-AGI, how it revealed the limits of early LLMs and highlighted the recent "reasoning breakthrough," and details the upcoming interactive ARC-AGI v3, which will measure AI performance against a human baseline with zero instructions.