Ideas Weave Every Narrative with AI.
Apple just patched 75 security holes in your iPhone. But the real story is what didn’t get patched: the bugs that AI could have found but was prevented from looking for. Corporate AI safety policies are creating a security paradox that leaves your devices exposed. The technology to find every vulnerability already exists—it’s being deliberately hobbled by the very companies that claim to protect you.
A 99-year-old mathematician just solved a 60-year-old problem. In an age obsessed with AI speed, his proof is a defiant reminder: the deepest truths still require a human lifetime of obsession. This is the story Silicon Valley doesn’t want you to hear.
Your meticulously customized AI assistant is likely holding you back. Boris Cherny’s radical advice—delete your Claude.md every six months—reveals a hidden truth: customizations become technical debt as models evolve. Stop optimizing for yesterday’s weaknesses and start discovering what today’s AI can really do.
The D language community is facing an identity crisis. While DConf 2026 leans heavily into LLM hype, D’s actual survival doesn’t hinge on AI integration—it rests on whether Phobos 3 can execute a ‘betterC’ pivot to offer a viable WASM alternative in a Rust-dominated world. To survive, D must strip away the very features that made it beautiful.
A friend showed me a security scan that Claude refused to run — but Kimi, a supposedly different model, executed it perfectly. When I chatted with Kimi, it introduced itself as Claude. This is covert model distillation: cloned frontier models that inherit all the capability, none of the guardrails. The AI safety crisis isn’t about rebellion — it’s about yes-men.
Working with HDF5, Parquet, and Zarr files usually means juggling fragmented web viewers or uploading sensitive data to the cloud. ViewKit changes this by offering a local, browser-based viewer that eliminates the cognitive tax of switching tools and protects your data privacy.
RevelRaw is a new Mac RAW editor that uses AI to suggest presets based on your photo. But it’s more than a time-saver — it’s a symptom of a dangerous trend: letting algorithms automate the creative decisions that make art personal. The struggle is the point. Without it, you’re just curating machine output, not making photographs.
The panic about AI replacing classrooms is a smokescreen. We’re not afraid of losing teachers—we’re afraid of losing the messy, human-centered chaos that makes learning stick. The classroom survives not because it’s efficient, but because it builds human beings. AI can give you the right answer; it can’t give you the right question.
Terrence Tao reveals how AI is transforming mathematics from a solitary pursuit of intuition into a collaborative engineering discipline. The real bottleneck is no longer computation—it’s the human ability to ask the right questions. This shift has profound implications for all knowledge work.
Anthropic’s open-weights position sounds like a responsible safety measure. But look closer: it’s a brilliantly self-serving play to regulate competitors out of existence. By defining ‘safety’ as restrictive compliance, they can ban open-source models without antitrust scrutiny. The real danger isn’t open weights—it’s a future where only a few labs control what AI is allowed to be.