The incentive structure in crypto makes buying memecoins more rational than supporting real projects, because serious projects must downplay their tokens.

Lindy's switch to an alternative open-source model caused users to immediately perceive a quality drop, indicating Lindy's eval suite had failed to capture a real user-perceived quality regression.

The encryption of reasoning traces provides no actual security because the model itself will readily reveal the hidden thoughts.

Anthropic calculates its $100B revenue run rate from four weeks of API data, not contracts

OpenAI's voluntary training pause is the first known case of a major AI lab stopping itself for safety

Bearish analysts are more disingenuous than bulls: they never acknowledge upside risk and continually shift their arguments while maintaining a permanent bearish stance.

The defining line between attitudinal and behavioral data is whether the decision has real stakes.

In B2B advertising sales, pitching ROI does not close seven-figure deals; buyers are driven by trust and budget-safety logic ('spend it with me, it's safe') rather than ROI calculations.

A method that worked once is not necessarily the right way; it is just one way that happened to work in that instance.

The US must keep real rates significantly negative to avoid a debt death spiral, and current Treasury buyback actions are a down payment toward that goal.

The term 'hallucination' is misleading because LLM errors are not a distinct failure mode, they are the same operation as normal functioning.

Neuroscience researchers at OpenAI and Anthropic have noted it is easier to do neuroscience on AI models than on biological brains, suggesting AI models are now the most productive substrate for neuroscience research.