Цена Caldera(ERA)

**Summary: IOTA's TWIN Project is Speeding Up Global Trade** Jens Munch Lund-Nielsen, Head of Global Trade & Supply Chain at the IOTA Foundation, discusses how the TWIN (Trade and Logistics Information Network) project is addressing long-standing inefficiencies in global trade. Traditionally, cross-border trade involves numerous parties, extensive paperwork, and delays spanning weeks. TWIN, built on IOTA's decentralized, scalable, and low-cost infrastructure, aims to replace this fragmented, paper-based system with a real-time, trusted, and interconnected digital collaboration layer. As a neutral digital public infrastructure, TWIN allows governments, businesses, and ports to exchange verifiable data and documents without ceding control to a single entity. This solves a core coordination problem that previous, proprietary platforms failed to address due to a lack of trust and neutrality. Key real-world implementations include: * **TLIP in East Africa:** Reduced document retrieval times for flower, coffee, and tea exports from 6-7 hours to ~30 minutes, cutting administrative work by 50-60%. * **UK Ecosystem of Trust Trials:** Provided border agencies with much earlier visibility (up to 20+ hours) of incoming chilled poultry shipments from Poland, enabling better resource planning. * Other pilots focus on supply chain traceability for fruits/vegetables, port efficiency, and critical mineral sourcing. TWIN ensures interoperability across jurisdictions by adopting global standards (e.g., UN/CEFACT data models), leveraging decentralized identity systems (DIDs), and supporting legal frameworks like MLETR. Looking ahead, Jens is optimistic that a trusted "connective layer" like TWIN will scale in the coming years. Its success could fundamentally transform global trade, most notably by helping to close the current $2.5 trillion trade finance gap. By providing lenders with access to verifiable, real-time supply chain data, TWIN could unlock capital and reshape how businesses discover partners and secure financing.

"In the era of AI reshaping software development, Anthropic's Claude Code team lead, Boris Cherny, proposes a future where traditional job titles dissolve. He identifies five fluid, behavior-based roles emerging in effective, AI-augmented teams: The Prototyper (generates disruptive ideas), The Builder (scales prototypes to production), The Sweeper (streamlines and refactors to combat bloat), The Growth (iterates on launched products for market fit), and The Maintainer (ensures long-term security and reliability). Crucially, these are not fixed positions. Individuals may span multiple roles depending on the project and its lifecycle stage. A designer might be a Prototyper and Sweeper; an engineer could be a Builder and Maintainer. Team composition should shift with product maturity: early-stage products need Prototypers, Builders, and Sweepers, while scaling products require more Builders, Growth roles, and Maintainers. The discussion highlights that role fluidity is key, as professionals often switch roles across different projects or as a single project evolves. While AI tools like Claude increasingly assist with tasks like building and sweeping, human adaptability and focus on goals over rigid job boundaries are seen as essential for future teams."

As Bitcoin falls below $60,000, the author reflects on the relationship between AI and Bitcoin, seeing them as two sides of the same coin. In the AI era, the cost of generating content has plummeted, making fake text, images, and videos increasingly easy and cheap to produce. This has led to a fundamental shift: while AI dramatically lowers the cost of information production, it also undermines trust and authenticity online. What becomes truly valuable is not more content, but the ability to verify what is real—"verifiability." This perspective offers a new lens for Bitcoin. Its massive energy consumption, often criticized as wasteful, is reinterpreted. While AI burns energy to enhance "capability" and efficiency, Bitcoin burns energy to produce "verifiability." Its purpose is not to be trusted but to enable a system where no trust in intermediaries—banks, platforms, or developers—is needed. Every transaction and the entire ledger's history is secured by cryptography and a decentralized network of nodes, making it independently verifiable. AI cannot forge a transaction on the Bitcoin network because the system is designed for proof, not generation. The author draws a historical parallel to the Renaissance: the printing press drastically reduced the cost of copying knowledge, while double-entry bookkeeping reduced the cost of trust in commerce. Today, AI is the new printing press, reducing content creation costs to near zero. Blockchain, and Bitcoin as its pioneer, may be the modern equivalent of double-entry bookkeeping—a foundational technology for verifying digital asset ownership and historical records without centralized authorities. Thus, AI and blockchain are not competitors. AI lowers the cost of creation; blockchain lowers the cost of verification. In an age where AI can generate anything, true scarcity may lie not in more content, but in independently verifiable facts. Whether the market will reprice Bitcoin accordingly remains uncertain, but its core value proposition as a "machine for producing verifiability" becomes strikingly relevant.

Dan Bin, Chairman of Dongfang Harbor, delivered a keynote speech titled "Don't Miss a Great Era" at the Glonghui "2026—All in Silicon-Based New纪元" Mid-Year Strategy Summit on June 29th. Addressing concerns about an AI bubble, he argued from an industrial cycle perspective that the risk of missing an entire epoch far outweighs the risk of short-term泡沫. He positioned humanity at the dawn of the AI era, which he views as potentially more disruptive than the electronic, internet, and mobile internet eras. Dan Bin suggested the AI wave is unlikely to end in just three to four years. Drawing a parallel to the internet era's decade-long cycle starting from the 1994 Netscape IPO, he indicated that with ChatGPT's late-2022 launch as a marker, a key risk assessment point might not arrive until around 2033. He emphasized that technological progress is the primary driver of long-term capital market growth, with factors like trade wars and interest rates being secondary. Expanding his perspective to a civilizational scale, Dan Bin presented a thought experiment on silicon-based life potentially replacing carbon-based life as a direction for延续 Earth's civilization, especially given cosmic timescales and interstellar travel challenges. He noted AI's必然 weaponization, citing examples from the Russia-Ukraine war, and stated that neither the U.S. nor China can afford to lose the AI race, with each having distinct competitive advantages. Reflecting on investment lessons, he mentioned Warren Buffett's recent moves into tech like Google and查理·芒格's expressed regret about missing Microsoft's massive growth, underscoring the need for continuous认知迭代. Dan Bin concluded by urging investors to maintain a long-term perspective, focus on core technological trends, and rationally embrace the opportunities of this transformative era, so as not to辜负 this "great时代" defined by波澜壮阔 change.

Dan Bin's Latest Speech: Don't Miss a Great Era On June 29th, Dan Bin, Chairman of Dongfang Harbor (东方港湾), delivered a keynote speech titled "Don't Miss a Great Era" at the "2026—All in the Silicon-based New Epoch" Mid-Year Strategy Summit. Addressing concerns about an AI bubble, Dan Bin argued from an industrial cycle perspective that "the risk of missing an era may be greater than worrying about short-term bubbles." He views humanity as standing at the dawn of the AI era, which could be more disruptive than the electronics, internet, and mobile internet eras. He posits that the AI wave is unlikely to end in just three or four years. Using the internet era's decade-long rhythm as a reference point—with ChatGPT's late 2022 launch as the starting line—a key risk assessment window may only arrive around 2033. Dan Bin emphasized that technological progress is the primary driver of long-term capital market growth, while factors like trade wars or interest rate hikes are secondary. Expanding to a civilizational scale, Dan Bin presented a thought experiment on silicon-based life potentially supplementing or succeeding carbon-based life as a direction for extending Earth's civilization, especially over cosmic timescales spanning billions of years. On geopolitics, he noted that AI is already rewriting warfare rules, as seen in conflicts like Ukraine, and that neither the U.S. nor China can afford to lose the AI race, with each leveraging different strengths. Reflecting on investment lessons, Dan Bin cited Warren Buffett's and Charlie Munger's admitted "regrets" about missing major tech opportunities like Microsoft, underscoring the need for continuous cognitive evolution. His firm, Dongfang Harbor, is deepening its research in foundational AI areas like computing power and storage. Dan Bin concluded by urging investors to maintain a long-term perspective, embrace the epochal shift, and rationally hold onto the opportunities presented by this transformative age. He closed with a poetic reminder: "The tide never turns back... Born in this time is a great fortune in itself. Don't let hesitation trap your steps, nor short-sightedness waste the years—do not miss this magnificent era that belongs to us."