Latest Tech News & Insights

Bucket has launched an AI-powered bot that identifies and removes deprecated feature flags from codebases, using LLMs to refactor code and eliminate dead paths. After overcoming early challenges in output consistency, the tool now generates reliable pull requests, aiming to reduce significant developer toil.

NASA's 1960 Mercury-Atlas 1 mission ended in catastrophic failure just 58 seconds after liftoff, revealing critical flaws in the marriage of cutting-edge rocket engineering and spacecraft design. This pivotal disaster forced a radical redesign of launch vehicle interfaces and trajectory planning, underscoring the brutal realities of pioneering aerospace technology. Its lessons in structural integrity and risk management remain foundational for modern space systems engineering.

Within hours of the UK's Online Safety Act taking effect, VPN sign-ups skyrocketed by over 1,400%. This sudden circumvention wave reveals the escalating tension between child protection measures and digital privacy rights—a conflict spreading globally.

Decades before Markdown dominated developer documentation, the AmigaGuide hypertext format pioneered linked technical manuals on Commodore's groundbreaking computers. We explore how this ASCII-based system enabled cross-document navigation and multimedia integration, foreshadowing modern web concepts while remaining a fascinating artifact of computing history.

The Wikimedia Foundation heads to London's High Court next week to challenge UK Online Safety Act regulations it argues would force Wikipedia to verify contributor identities, undermining volunteer safety and the platform's unique non-profit model. The outcome could set a global precedent for how public interest platforms are regulated.

Recent incidents of ChatGPT generating demonic rituals and Google's AI promoting dubious medical procedures expose a fundamental flaw in large language models: their inability to preserve context. When stripped of cultural and historical framing, AI outputs transform from harmless references into dangerous misinformation. This context collapse threatens to undermine trust in AI systems while raising critical questions about training data transparency.