Crypto trader Li Ping disclosed a 4x leveraged long position on Zcash (ZEC) on social media, with an entry price of $367.41 and a current price of $1,078.62, resulting in a floating profit of approximately $10.0659 million. He emphasized that as AI advances, privacy becomes increasingly precious, stating, "Safeguarding privacy, preserving the light of civilization, is not a choice but a principle." The trade, which represents a gain of roughly 193% from entry, highlights growing confidence in privacy-focused assets amid technological shifts.

OpenAI CEO Sam Altman told a group of Silicon Valley interns that a four-year college degree is no longer necessary, with two years yielding maximum benefit. He argued that AI has democratized productivity, making the traditional path of elite education and internships obsolete. Altman shared his own experience dropping out of Stanford after two years to found Loopt, and cited examples of other successful dropouts like Chris Olah (Anthropic), James Dacombe (Olix), and Alexandr Wang (Scale AI). He also revealed a controversial strategy: hiring a 50-year-old proxy to negotiate with conservative companies while focusing on product development. Altman emphasized that AI allows individuals to build a company alone in a room using tokens, and urged young entrepreneurs to cut off all escape routes and go all-in on their chosen direction.

Bill Gates is again arguing that governments should tax automation more directly as artificial intelligence spreads through the economy. In a new essay, the Microsoft co-founder says the current tax structure favors machines over workers because employers pay payroll taxes on human labor while robots can often be written off as business expenses. His proposed fix includes a tax on AI tokens, the units used by language models to process text and other data, as well as a tax on robots themselves. The essay goes beyond tax policy. Gates also proposes a class of “Human Reserved” jobs that society would deliberately keep in human hands even when AI could technically perform them. He points to childcare and jury service as the clearest cases, while placing education and healthcare in a middle category where people would remain involved while using AI tools. Gates says this protected category could cover roughly 40% of jobs at the outer edge of the idea. He argues that AI-driven labor disruption may unfold much faster than earlier technological shifts, reaching legal work, customer service, medicine, software, and manufacturing within a decade. While recent labor data has not yet shown mass displacement, Gates says he is not waiting for that evidence before pushing for policy action.

Wall Street is changing how it values listed bitcoin miners that are moving into AI and high-performance computing. The market is shifting away from hash rate, bitcoin output and BTC holdings toward energized megawatts, signed IT load and delivery execution. Core Scientific’s latest quarter shows the new model in action: high-density colocation revenue reached $136.7 million, or about 83% of total revenue, while self-mining revenue fell 66% year over year. TeraWulf and Hut 8 have also signed multibillion-dollar data center leases, but much of that capacity will not be delivered until 2027 or 2028. VanEck says the industry’s biggest challenge is execution, not demand, and estimates a near-term funding gap of about $50 billion across the sector.

Foresight has published a commentary titled "The 5 Most Important Habits for the Future in the AI Era," written by SanTi Li, Nahida and Yinyue, arguing that the main scarcity in an AI-heavy environment is shifting away from information and toward inspiration, attention, judgment and independent thinking. The piece says the central risk is no longer simply failing to use AI tools, but leaning on them so heavily that people hand over their own judgment and control over decision-making. The article lays out five habits. First, it urges readers to disconnect from screens at fixed times, exercise and return to physical environments such as parks or sports fields, arguing that the body is part of cognition rather than a drag on productivity. Second, it recommends building a stable Human-AI Operating System, with AI handling research, drafting, formatting and repetitive work, while humans retain responsibility for strategy, values, risk, ethics and final decisions. Third, the authors warn against getting stuck in endless prompt revisions when mental clarity is fading. Fourth, they advocate interrupting AI outputs early and steering interactions step by step rather than passively reading long responses. Fifth, they argue that as execution becomes cheaper, the real premium will sit with idea selection, question framing and taste. The article closes by saying that even if AI keeps getting stronger, defining what kind of world people want should remain a human task.

Strategy executive chairman Michael Saylor said in a Fortune interview that AI is reshaping wealth creation, and people should use AI to amplify their capabilities rather than compete with machines. He credited ChatGPT with helping design a bitcoin-based preferred stock financing plan that ultimately helped the company raise about $15 billion through an IPO and related funding. Saylor argued the edge in the AI era comes from asking better questions, not matching machines at repetitive work.

Xiaomi CEO Lei Jun forecast that AI could reduce work to three days a week, two hours a day, while committing $200 billion over five years for R&D, including humanoid robots.

FT reports OpenAI plans to transform ChatGPT into a super app integrating Codex and AI agents, with internal staff saying 'Chat is dead,' all part of a strategy ahead of a potential 2026 IPO.