The Waymo World Model enhances autonomous driving by simulating complex scenarios in hyper-realistic environments. Leveraging advanced AI, it prepares the Waymo Driver for rare events and varied conditions, ensuring safety and reliability as it expands across diverse urban settings.

Caltech researchers have developed a new DNA synthesis technology called Sidewinder, enabling the rapid assembly of long DNA sequences. This innovation addresses a significant bottleneck in biotechnology, paving the way for advances in agriculture, personalized medicine, and other fields by allowing the construction of entire genes and potentially genomes.

Claude Opus 4.6 has made significant strides in enhancing AI's role in cybersecurity, particularly in identifying high-severity vulnerabilities within open source software. By analyzing code like a human expert, it has uncovered over 500 previously undetected issues, demonstrating the potential for AI to bolster security efforts.

NVIDIA's NVFP4 introduces a new low-precision AI format that greatly enhances training and inference performance while maintaining accuracy. This article explores its key benefits, including substantial throughput gains on the Blackwell architecture, proven accuracy in industry benchmarks, and increasing support from various development ecosystems.

The escalating costs of AI datacenters highlight the urgent need for innovative performance engineering. Joining OpenAI to enhance ChatGPT's efficiency offers a unique opportunity to impact both technology and the environment. Personal experiences reveal how AI is increasingly woven into everyday life, emphasizing the technology's growing significance.

Claude Code is revolutionizing software development, currently contributing 4% of GitHub commits and projected to reach over 20% by 2026. As an advanced AI agent, it helps users execute tasks through natural language interactions. This shift is set to transform the industry and enhance revenue for companies like Anthropic.

This article offers a concise introduction to Reinforcement Learning from Human Feedback (RLHF) and its application in language models. Covering essential methods, data collection, and optimization stages, it also highlights advanced topics and open research questions, making it accessible for those with a quantitative background.

A shift in software engineering practices is underway as automated programming gains traction. This article discusses how coding agents and frontier models are streamlining the development process, enabling engineers to focus on creative problem-solving while minimizing unnecessary complexity and reliance on frameworks.

This article explores the development of a Software Factory that utilizes agents for non-interactive coding. It discusses the transition to an agent-driven approach, the importance of testing with scenarios, and the creation of a Digital Twin Universe for extensive validation, highlighting the economic shifts in software creation.

StrongDM's AI team is pioneering software development through a process where coding agents generate code without human oversight. Their innovative approach includes scenario testing and the creation of Digital Twin Universes, allowing for real-time validation of software functions and performance, raising important questions about code reliability and quality assurance.

This article critiques GitHub Actions as an inefficient continuous integration (CI) tool, comparing it unfavorably to alternatives like Buildkite. It highlights frustrations over its cumbersome interface, unreliable log viewer, and complex YAML configurations, illustrating how these issues can sap engineers' productivity and morale.

Software development sees two primary approaches: evolutionary growth and upfront design. Each has its pros and cons, impacting complexity management and team dynamics. While evolutionary methods feel more flexible and can be engaging, upfront systems often lead to smoother development and better long-term outcomes. Understanding dependencies is key to successful implementation.

A new bill in New York mandates news organizations to label AI-generated content and ensures human oversight before publication. The NY FAIR News Act aims to promote transparency and protect journalism from potential misinformation and labor impacts due to AI adoption, with strong support from industry unions.

Recent turbulence in the SaaS market wiped out ~$300 billion in value as AI product releases prompt investors to reassess the durability of legacy software growth. With AI's ability to replace human workflows, enterprise software is undergoing a significant shift, leading to a reevaluation of revenue models and investment strategies.

be consistently relied upon. This article explores whether advanced LLMs could evolve into the next generation of compilers, effectively changing how we write programs. It examines the implications of using natural language for programming while questioning the reliability of LLMs as effective abstraction layers.