2026-06-08 Понедельник

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Vitalik: We Need to Create Sanctuaries, Not Fight AI

In a recent interview, Vitalik Buterin, founder of Ethereum, addresses the central anxiety of the AI era. He argues the primary risk isn't AI's intelligence, but human passivity—ceding decisions, privacy, and agency to centralized systems or "super AIs" for a sense of "disempowering safety." His solution is not to fight AI, but to build "sanctuary technologies." These are optional, non-totalizing spaces that protect users while preserving their sovereignty and privacy. Ethereum is presented as a prime example, offering a parallel financial system one can freely choose, not a fix for the old one. Reflecting on his journey from a 19-year-old on "autopilot" to an active "pilot," Vitalik notes the world reinvents itself every 5-10 years. To keep up, individuals must actively pilot their lives, not be passive passengers. He stresses that active learning vastly outperforms passive learning, even with equal time invested. His practical advice for builders and individuals in the AI age includes: periodically forcing oneself to do tasks manually to keep the mind engaged; prioritizing active learning and verification over outsourcing answers; building tools that help retain human agency; not outsourcing all strategic thinking to AI; and preserving serendipity through real-world interactions. Ultimately, Buterin redefines Ethereum/crypto's role: not to win against or fix the old world, but to provide a free, optional alternative. The core message is that as AI grows more powerful, the truly scarce resource will be proactive humans who retain their sovereignty, privacy, and capacity for independent thought. The era demands not less tool use, but more intentional and active use of technology.

链捕手05/17 02:57

Vitalik: We Need to Create Sanctuaries, Not Fight AI

链捕手05/17 02:57

Conversation with Patagon Founder: Revealing the Inside Story of Anthropic's Secondary Market

**Summary: Inside Anthropic's Massive, Opaque Secondary Market** In a revealing interview, Patagon founder Dio Casares pulls back the curtain on the booming, high-risk secondary market for shares in companies like Anthropic. This private market, fueled by companies staying private longer and massive funding rounds, is estimated to involve hundreds of billions of dollars. Casares distinguishes between two types of "secondary" trading: 1. **Company-approved SPV (Special Purpose Vehicle) sales:** Where new capital flows into the company, often facilitated by select private equity firms. Anthropic supports this to manage liquidity and pre-IPO selling pressure. 2. **The "gray" market:** Platforms like Hive and Forge that match buyers and sellers, often creating pricing confusion and competing with official funding rounds. These intermediaries are widely disliked by companies. The market structure is complex and fragmented, relying heavily on personal connections. Brokers connect buyers and sellers, often layering multiple SPVs to pool capital, with single transaction fees as high as 10%. Strikingly, some finance professionals earn more from this trading than from their primary investment roles. **Key risks highlighted include:** * **High Fraud Rates:** An estimated 10-20% of transactions involve fake stock certificates or sellers who take payment without having the shares. * **Complex, Risky Structures:** Nested SPVs, "forward contracts" on employee equity, and tokenized private equity create layers of opacity. This is exemplified by a recent incident where an xAI employee's shares were revoked after an espionage allegation, leaving buyers empty-handed. * **Post-IPO "Settlement Hell":** After an IPO, delays in distributing shares through multiple SPV layers and decisions by fund managers to hold onto shares could trigger years of lawsuits as downstream investors are locked out. **For small investors** holding positions through tokenized vehicles or layered SPVs, it's often impossible to verify the underlying asset. Casares advises caution: if the investment feels wrong, consider exiting. As the private market now surpasses IPO fundraising, this "wild west" ecosystem faces a looming reckoning. While it will likely professionalize, the post-IPO period for a company like Anthropic could unleash a wave of disputes, exposing the vulnerabilities built into this frenzied, largely unregulated marketplace.

marsbit05/17 01:08

Conversation with Patagon Founder: Revealing the Inside Story of Anthropic's Secondary Market

marsbit05/17 01:08

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

A No-Code Guide to Building Your First AI Agent in a Weekend This article presents a weekend, zero-code tutorial for beginners to build a functional AI Agent using tools like Claude. It clarifies the core difference between a chatbot, which responds to queries, and an Agent, which autonomously plans and executes multi-step tasks using tools to deliver a final result. The process is broken into four stages over two days: 1. **Saturday Morning: Understanding Agents.** Learn that an Agent requires a clear Goal, a Plan, necessary Tools, and an execution Loop. Identify a simple, multi-step task from your own work/life as your first project. 2. **Saturday Afternoon: Building with Claude.** Create a one-page "Agent Blueprint" answering: the Goal, sequential Steps, required Tools, the desired Output format, and error-handling rules. Implement this blueprint in Claude (Desktop Cowork or web Projects) and run the Agent for the first time. 3. **Sunday Morning: Debugging & Optimization.** Review the initial (often 60-70% accurate) output. Identify flaws, trace them back to vague instructions in your blueprint, and refine it with more specific criteria and error handling. Iterate this run-review-refine cycle 3-4 times to reach ~90% reliability. 4. **Sunday Afternoon: Expansion.** Apply the learned workflow to quickly build a second, different Agent (e.g., for research, content repurposing, or meeting prep), experiencing the compounding efficiency gains. The core skill is not writing a perfect blueprint initially, but rapidly iterating based on output. By the end of the weekend, you'll have built two usable Agents, moving beyond just chatting with AI to automating multi-step workflows, fundamentally changing how you approach repetitive tasks.

marsbit05/16 15:19

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

marsbit05/16 15:19

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