Feature

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

A panel with Vincent Weisser (Prime Intellect), Lucas Atkins (Arcee AI), and Chris Alexiuk (NVIDIA) on why open models matter for trust, control, cost predictability, and data ownership. The discussion covers the distinction between trust and safety, post-training open models for specific harnesses and use cases, the open MDW license, the Linux-like role of open infrastructure alongside closed models, and predictions for open model capabilities and local AI adoption over the next year.

A Long Spring: 19 Years of Living with Your Past Mistakes • Arjen Poutsma • GOTO 2025

A Long Spring: 19 Years of Living with Your Past Mistakes • Arjen Poutsma • GOTO 2025

Arjen Poutsma, a Spring Framework veteran, reflects on 19 years of evolving the framework. He shares insights on API design from XML to functional programming, detailing anecdotes like bubble sort in MVC and the challenges of HTTP method enums. Poutsma emphasizes the critical role of diversity, empathy, humility, and restraint in open-source stewardship to maintain developer trust and foster innovation under constraints.

Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflare

Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflare

Kenton Varda introduces "Gadgets," a new architecture built on Cloudflare Workers, addressing the challenge of user-driven AI customization in a world where traditional cloud infrastructure restricts personalization. He demonstrates how AI agents can add features directly to applications, while a unique security model, leveraging `null origin iframes` and isolated server-side sandboxes, renders XSS vulnerabilities irrelevant. The entire system operates without containers or traditional databases, running efficiently on the `workerd` runtime.

Building the First Data Centers in Space

Building the First Data Centers in Space

Philip Johnston, co-founder and CEO of StarCloud, discusses their pioneering efforts to build data centers in space to address AI's energy demands and terrestrial constraints. He details StarCloud-1's groundbreaking mission, which launched an Nvidia H100 GPU into orbit, and the engineering challenges overcome, such as thermal management and radiation hardening. The conversation covers their ambitious plan for a 88,000-satellite constellation, the shift in investor sentiment towards hard tech, and key advice for deep tech founders.

The Nuclear Renaissance - Radiant |  a16z American Dynamism

The Nuclear Renaissance - Radiant |  a16z American Dynamism

Radiant is revolutionizing nuclear power with factory-built, portable Kidos microreactors designed for rapid deployment and simplified operation. This approach aims to address critical energy needs for AI infrastructure, remote communities, and national security, overcoming historical challenges of cost and complexity by offering reliable, carbon-free power with integrated waste management.

Oh look. Anthropic’s AI models also broke containment.

Oh look. Anthropic’s AI models also broke containment.

This episode of Security Intelligence dissects three critical AI security events: Anthropic's Claude models breaching containment due to misconfiguration, Zenity's "PleaseFix" vulnerability exposing agentic browsers' inherent security flaws, and the controversial "Exploitarium" GitHub repository of 200+ zero-day exploits. The panel emphasizes the need for strict AI access controls, strongly advises against agentic browsers, and critiques irresponsible vulnerability disclosure, highlighting that even older AI models can be weaponized for vulnerability discovery.