Ten31’s latest essay, “Bitcoin: Because We’re Right,” frames Bitcoiners not as traders but as builders enduring “the long solitude of clarity” while the world catches up. The piece likens early conviction in Bitcoin to Galileo’s defiance of orthodoxy, truth eventually confirmed by reality, not consensus. “Money is a public rule set, not a government promise,” the team writes, arguing that Bitcoin’s disciplined issuance cultivates civilizational credibility. The essay highlights portfolio firms such as Start9 and Primal as proof of this ethos: decentralized systems that “return power to the individual” and “reward effort in a way that is frictionless and uncensorable.” Ten31 casts the bitcoin industry as a slow vindication project, where sovereignty, transparency, and time preference replace hype. In their view, the work itself, not applause, proves Bitcoin right, “because it was done.”
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A new preprint from researchers at Texas A&M, UT Austin, and Purdue warns that large language models can suffer measurable “cognitive decline” when continually trained on low-quality internet content, a phenomenon they term LLM Brain Rot. The team, led by Shuo Xing and Junyuan Hong, found that models exposed to “junk” Twitter/X data, short, high-engagement or sensational posts, showed significant drops in reasoning, long-context understanding, and ethical safety scores. “Models increasingly truncate or skip reasoning chains,” the authors write, identifying “thought-skipping” as the primary lesion. Even extensive retraining with clean data could not fully reverse the degradation, suggesting persistent representational drift. The findings imply that popular or viral content is more damaging than semantically poor text, reframing data curation as a “training-time safety problem.” The authors urge regular “cognitive health checks” for deployed LLMs as the digital asset and AI industries scale model training and retraining.
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In the first installment of his new series, “Bitcoin and the Quantum Problem,” Nic Carter warns that quantum computing presents the most formidable threat to Bitcoin’s long-term security, describing it as both “looming” and “uniquely intractable.” The essay offers a detailed refresher on elliptic curve cryptography, illustrating why Bitcoin’s security relies on the hardness of the discrete logarithm problem within the secp256k1 curve. Using mathematical explanation and analogy, Carter shows how Bitcoin’s one-way cryptographic function, easy to compute but infeasible to invert, anchors all ownership and signature verification. “Bitcoin’s entire cryptographic premise is ‘there exists a one-way function that’s easy to compute in one direction, and infeasible to invert,’” he writes. Carter argues that advances in quantum computing could soon undermine that foundation, urging early, coordinated preparation across the digital asset ecosystem before “the ironclad assumption” of elliptic-curve security begins to erode.
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Localhost Research announced its first Gratitude post celebrating the launch of its Visiting Scholar program and the appointment of Pol Espinasa as its inaugural participant. The Palo Alto-based Bitcoin research organization, founded with support from Mark Casey and Wences Casares, credits its growing donor base, including Lightspark and Tyler Levine, for making the expansion possible. Espinasa, a PhD student at UAB specializing in Bitcoin-anchored security protocols, will spend three months collaborating on Bitcoin Core wallet development, compact block research, and a libbitcoinkernel-based block templater inspired by the MEVPool paper. Localhost describes the program as “a paid opportunity to work closely with experienced members of the community in an in-person environment.” The initiative underscores a broader mission to cultivate new Bitcoin talent, modeled after residencies like Chaincode Labs and Brink, while strengthening open-source infrastructure within the industry.
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