Tether, the issuer of the leading USDT stablecoin, invested between $40 million and $50 million in bitcoin-focused lender Ledn, valuing the company at approximately $500 million, as reported by Will Canny in CoinDesk. This previously undisclosed deal bolsters Tether's expanding strategic investments in the bitcoin industry, complementing its bitcoin treasury accumulation and other acquisitions. Ledn, which shifted to a bitcoin-only model last May, enables users to borrow fiat or stablecoins against bitcoin collateral while retaining ownership, promoting financial flexibility without the risk of forced sales. "This strategic investment from Tether strengthens our ability to deliver secure, Bitcoin-backed credit products and to expand access to sound financial services for clients around the world," Ledn's leadership emphasized in related announcements. Under CEO Paolo Ardoino, Tether leverages substantial profits from U.S. Treasuries to pursue such opportunities, working to grow the bitcoin-native financial services industry.
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Anthropic has unveiled Cowork, a new feature expanding its Claude AI beyond coding to assist with everyday tasks. Users grant Claude access to specific folders, enabling it to read, edit, or create files autonomously, such as organizing downloads, compiling expense spreadsheets from screenshots, or drafting reports from notes. Built on Claude Code's foundations, Cowork enhances AI agency by planning and executing tasks while keeping users informed, and integrates with connectors for external data and browser access via Claude in Chrome. As Anthropic notes, "Cowork is designed to make using Claude for new work as simple as possible." This innovation empowers individuals with greater creative freedom in work productivity, though users must manage risks like potential destructive actions or prompt injections via clear guidance and precautious review of work. Ongoing improvements promise cross-device sync, inviting experimentation amongst a suite of versatile tools.
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Bitwise Asset Management's research demonstrates that a 15 percent combined allocation to bitcoin and gold markedly enhances risk-adjusted performance in portfolios, delivering a Sharpe ratio of 0.679 over the past decade, nearly triple the 0.237 achieved by a traditional 60/40 stock-bond mix. This approach, which balances gold's defensive cushion during market drawdowns with bitcoin's strong rebound leadership in recoveries, aligns closely with Bridgewater Associates founder Ray Dalio's recommendation for such hedging against dollar debasement risks from rising federal debt. Analysts Juan Leon and Mallika Kolar examined major pullbacks in 2018, 2020, 2022, and 2025 using Bloomberg data. They emphasized the complementary roles of the assets. “Often, the question of gold vs. bitcoin is framed as either/or,” Leon and Kolar wrote. “As the data shows, historically the best answer is ‘both.’” This finding empowers traditional investors seeking greater financial stability in uncertain economic conditions, pointing toward smarter diversification in the bitcoin and precious metals space.
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Andrej Karpathy, in a personal review, highlights 2025 as a transformative year for large language models, marked by several paradigm shifts that boosted capabilities and expanded applications. Reinforcement Learning from Verifiable Rewards (RLVR) supplanted traditional training stages, enabling models to develop more genuine reasoning through extended optimization on objective tasks like math and code, shifting compute from pretraining to longer RL runs for superior capability per dollar. As Karpathy notes, "Running RLVR turned out to offer high capability/$, which gobbled up the compute that was originally intended for pretraining." He describes LLM intelligence as jagged "ghosts" rather than evolving animals, excelling in verifiable domains while remaining vulnerable elsewhere. Innovations like Cursor demonstrated a new application layer orchestrating specialized LLM workflows, while Claude Code pioneered local, privacy-respecting agents living on users' machines. "Vibe coding" democratized programming via natural language, empowering individuals and professionals alike to create software freely. Google's Gemini Nano banana even hinted at future multimodal GUIs favoring visual outputs over text. Overall, Karpathy remains highly optimistic: progress accelerates yet vast untapped potential remains.
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