Posts

The newest AI malware vs. 40 years of hacker culture

The newest AI malware vs. 40 years of hacker culture

A discussion on the diverging priorities of CEOs and CISOs, the emergence of AI-generated malware like VoidLink, the critical balance between data protection and service resilience, strategies for disrupting cybercrime supply chains, and a reflection on the 40-year-old "Hacker Manifesto".

Beyond AI implementation: Introducing JDLA's initiatives

Beyond AI implementation: Introducing JDLA's initiatives

This presentation by the Japan Deep Learning Association (JDLA) details Japan's strategy for accelerating AI adoption. It covers the government's strong pro-AI stance driven by demographic challenges, the critical need for corporate AI governance, and the rise of physical AI in robotics. JDLA's core initiatives are highlighted, including the G- and E-Certificate programs for talent development, which are increasingly becoming corporate standards, and the establishment of the AI Robot Association (AIROA) to build a foundational data infrastructure for robotics.

Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd

Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd

Zach Lloyd, founder of Warp, discusses how the terminal is becoming the central workbench for AI-powered development. He explores the convergence of IDEs and terminals, the rise of cloud-based agent swarms, and his thesis that coding will soon be a "solved" problem, making the clear expression of human intent the final bottleneck.

OpenAI Town Hall with Sam Altman

OpenAI Town Hall with Sam Altman

Sam Altman discusses the future of AI, covering the evolution of software engineering, the challenges for AI startups, the roadmap for model capabilities and costs, and the broader societal impacts on economics, security, and education.

W&B Models end-to-end demo

W&B Models end-to-end demo

W&B Models is the system of record for the entire model development lifecycle. This guide explores how to monitor training, tune hyperparameters, track artifacts and lineage for reproducibility, and automate MLOps workflows like evaluation and deployment using a central platform.

Late-Stage Investing in an AI-Driven Market

Late-Stage Investing in an AI-Driven Market

David George (General Partner, a16z) discusses how AI is fundamentally reshaping late-stage private markets. He covers the unprecedented scale of infrastructure investment, evolving business models and monetization strategies, why AI-native companies are staying private longer, and how this new paradigm changes the calculus for durability, value creation, and long-term growth.