South Korea's Kospi had one of its worst days in decades. Trading was automatically halted for 20 minutes during the morning, as part of an emergency mechanism that is triggered by major falls and is designed to curb panic selling.
In a recent post on X, Dixon acknowledged that blockchain has entered its “financial era,” but pushed back against the claim that his philosophy of “read write own” had failed. “Finance isn’t separate from the broader thesis; it’s part of it,” Dixon wrote. “It’s the foundation and proving ground for everything else.”
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Last week, Anthropic and the U.S. Department of Defense (DoD) failed to come to an agreement over the military’s request for unrestricted access to the AI company’s technology. Anthropic, which already had a $200 million contract with the military, insisted the DoD affirm that it would not use the company’s AI to enable domestic mass surveillance or autonomous weaponry.
The consequences of sycophancy extend beyond isolated errors. [rathje_sycophantic_2025] found that brief conversations with sycophantic AI increased attitude extremity and certainty while inflating users’ self-perceptions: participants rated themselves as more intelligent, empathetic, and “better than average” after interacting with agreeable models. Paradoxically, users rated sycophantic responses as higher quality and expressed greater willingness to use them again. [cheng_sycophantic_2025] documented similar patterns in interpersonal domains where sycophantic AI reduced participants’ willingness to repair conflicts while increasing their conviction of being in the right. Here too, participants trusted sycophantic models more and rated them as less biased. This creates what [rathje_sycophantic_2025] referred to as a “perverse incentive” where users seek out the very systems that distort their reasoning.