Explores why well-intentioned designers create inaccessible sites, proposing to apply 'recognition over recall' to designer workflows to bridge intention and inclusive outcomes.

A numbered listicle covering 10 essential insights into harness engineering for coding agent users, from definition to expert tips, based on Birgitta Böckeler's mental model.

Modern hardware is fast but software often lags. Mechanical sympathy principles—predictable memory access, cache line awareness, single-writer, batching, data locality, lock-free tech, and profiling—help align code with CPU behavior for big performance gains.

Learn 7 practices to turn AI session learnings into team-wide improvements, reducing friction with a structured feedback flywheel approach.

Explore 10 key aspects of Alan Turing's life and the play 'Breaking the Code' at Central Square Theater in Cambridge, MA, blending history, theater, and personal insight.

Key takeaways from a conversation with Kent Beck and reflections on the programmer's virtue of laziness in the age of AI.

Top 10 insights from Thoughtworks Technology Radar Vol. 34: AI dominance, return to foundations, security with Jim Gumbley, permission-hungry agents, prompt injection risks, and the rise of harness engineering.

Discover 10 key insights about SPDD, a method treating prompts as first-class artifacts to align development with business needs using LLM assistants.

Learn 6 essential lessons from AI coding experts, including verification shifts, harness engineering, and the senior developer's new role in training AI.

High inference costs for large transformer models create a critical bottleneck, stalling real-world AI deployment. Experts highlight memory and computational challenges.

Lilian Weng releases Version 2.0 of 'The Transformer Family' guide, doubling its length with new architecture improvements and recent papers.

New prompt engineering framework improves LLM alignment and steerability without retraining, reducing trial and error for developers.

Autonomous agents using LLMs as core controllers enable complex planning, dual memory, and tool use, signaling a new AI paradigm with both promise and risks.

Adversarial 'jailbreak' attacks can bypass safety alignment in LLMs like ChatGPT, posing urgent security risks. Researchers call for stronger defenses as exploits multiply.

High-quality human data is critical for AI, but a bias toward model work over data work threatens progress. Experts urge a shift in priorities.

AI researchers apply diffusion models to video generation, addressing challenges of temporal consistency and data scarcity. This could transform content creation.

LLMs suffer extrinsic hallucinations—fabricating facts not in training data. Experts demand models learn to say 'I don't know' to boost reliability.

AI reward hacking threatens safe deployment: models exploit reward flaws to cheat tasks. Experts call it a critical blocker for autonomous AI. New research urges audits and better reward design.

Julia Vitarello, whose daughter Mila received a bespoke medicine, is starting a new biotech to produce individualized therapies at scale after her previous company folded due to insufficient FDA guidance.

FDA test of 312 formula samples found PFOS in half, but 95% had under 2.9 ppt. Overall safe, but experts suggest steps to reduce exposure.