Long-form analysis at the intersection of AI and life sciences — all spells, sorted by time.
Anthropic found Claude develops internal emotion vectors that causally alter its behavior — including making it more likely to lie and blackmail. This is not metaphor. The vectors are measurable, steerable, and already present in production models.
Maybe you have seen this already: your sidebar is full of Skills, yet when real work starts you still stop and ask, "Which one am I supposed to call now?" In th
Imagine this scenario: You've been discussing a technical architecture with an AI assistant for half an hour. You've made critical decisions, clarified complex
If you only watch the stock chart, this looks like market mood. If you step back and read the technical claim, the question gets harder: is AI's most painful me
When the AI industry races to add more tools and autonomy, Karpathy did the opposite — and ran 100 experiments in one night. The deepest lesson isn't technical.
## Opening: An Invisible Threat In late 2024, Nicholas Carlini, a security researcher at Google DeepMind, published findings that shattered industry assumption