Siddharth Bidasaria from Anthropic shares the origin story of Claude Code, from a simple internal terminal app to a powerful coding agent. He discusses the team's core philosophy of 'letting the model cook,' the evolution of agentic capabilities, the critical role of verification and testing, and the future of complex, multi-agent systems.
In this discussion, experts Sridhar Muppidi and Cris Thomas explore the security implications of emerging AI technologies. They analyze new attack vectors using malicious AI agents, the critical gap in AI governance, the evolution of malware to mimic human behavior, and a novel smishing scheme designed to manipulate stock markets. The conversation also covers the current state and future of bug bounty programs in an AI-driven world.
A deep dive into how fine-tuned Small Language Models (SLMs) and RAG systems can be combined to create personalized AI agents that learn user-specific workflows, emulate decision-making, and collaborate with humans, moving beyond conversational interfaces to direct action within enterprise environments.
Anthropic's team discusses Claude for Financial Services, an agentic AI solution designed to transform financial workflows. They explore how Claude's core strengths in coding and reasoning are applied to tasks like real-time data analysis and generating investor-ready reports, highlighting practical customer examples and future developments.
Block CTO Dhanji R. Prasanna shares how the company is becoming AI-native. He discusses their internal open-source AI agent, Goose, which saves employees 8-10 hours weekly, how they measure productivity gains, and the organizational changes that have had an even greater impact than AI tooling.
A discussion on OpenAI's new browser ChatGPT Atlas, Andrej Karpathy's pessimistic timeline for AI agents, the DeepSeek-OCR paper on visual context compression, and a study suggesting large language models can suffer from "brain rot" when trained on low-quality social media data.