The U.S. Department of Energy (DOE) has launched President Trump’s Nuclear Reactor Pilot Program, selecting 11 advanced reactor developers to accelerate technology deployment. The initiative targets construction, operation, and criticality of at least three test reactors by July 4, 2026, under DOE’s streamlined authorization process. Companies including Oklo Inc., Radiant Industries Inc., and Terrestrial Energy Inc. will self-fund design through all testing, while DOE oversight aims to unlock private capital and fast-track commercial licensing. Deputy Secretary James P. Danly called the effort “a call to action,” underscoring U.S. ambitions to reassert global nuclear leadership. The program, rooted in Executive Order 14301, enables testing outside national laboratories and reflects a broad spectrum of American reactor innovation. Industry analysts see this as a pivotal step in bolstering domestic energy security, high-tech job creation, and long-term competitiveness in advanced nuclear technology.
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Arvind Narayanan, Princeton computer science professor and co-author of AI Snake Oil, argues most real-world tasks differ fundamentally from chess-like problems where AI rapidly surpasses humans. Speaking on the Electronic Frontier Foundation’s “How to Fix the Internet” podcast, he stressed that performance in domains like medicine or writing is constrained less by human biology than by incomplete knowledge or ambiguous success metrics. Narayanan advocates “techno-optimism” rooted in anticipating risks to unlock AI’s educational and personalizing potential, while warning against bans that stifle adaptation. He is sharply critical of “predictive” AI in hiring or criminal justice, calling them inaccurate and prone to institutional bias. On AI “doomer” fears, he cites weak evidence for catastrophic risk and emphasizes AI as a “normal technology” that, like the internet, will fade into the background of knowledge work. He predicts future jobs will center on supervising AI, not being replaced by it.
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July 2025 marked the strongest year-on-year surge in Bitcoin hiring so far, with 184 job postings, up 52% from June and the second-highest monthly total this year, according to a Bitcovation report. Bitcoin-only firms accounted for 43% of listings but supplied over half of all remote roles, highlighting an advantage in flexibility. While two-thirds of openings remained non-technical, developer demand rose to 33% of all postings, driven largely by multi-asset firms. Geographic hotspots included the U.S. (59 listings), Singapore (13), Gibraltar, Czechia, and Brazil, signaling a globally distributing market. AI-related roles such as “AI Video Creator” and “AI System Optimization Engineer” continued to appear, suggesting early integration of advanced tech. Companies are prioritizing mid-level talent, with entry-level and unpaid roles dropping to 11%, reflecting a shift toward experienced hires for near-term execution over long-term pipeline building.
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Luxor has strengthened its position in the U.S. Bitcoin mining supply chain through a $131.4 million strategic purchase and options agreement with manufacturer MicroBT. Announced in December 2024, the deal secures thousands of latest-generation WhatsMiner M56S++ and M66 units (assembled in the U.S.) while providing call options on future ASIC batches. This U.S.-based production mitigates tariff exposure by importing raw materials and completing assembly domestically, ensuring competitively priced hardware for Luxor’s institutional clients. The agreement also addresses long-standing procurement challenges caused by market volatility, shipping costs, and supply chain unpredictability. By embedding flexibility into its acquisition strategy, Luxor can lock in favorable pricing while adapting to shifting ASIC market conditions. The partnership reinforces Luxor’s growing role as an infrastructure enabler in Bitcoin mining, aligning hardware access for support sector growth.
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