From "National Shrimp Farming" to the Intelligent Economy: The 2026 Hong Kong Web3 Carnival AI x Web3 Summit Agenda Unveiled!

marsbitPublished on 2026-04-08Last updated on 2026-04-08

Abstract

The 2026 Hong Kong Web3 Carnival will host a pivotal forum titled "Web3×AI: Value Reconstruction in the Intelligent Era" on the afternoon of April 20. This event brings together global pioneers in AI and Web3 to explore the deep integration of these transformative technologies. Discussions will cover topics ranging from Silicon Valley’s innovative uses of AI lobsters to practical implementation of AI and Web3 beyond the lab. Industry leaders from TON Foundation, Qtum, Cobo, MaxQuant, and Anoma will share insights on security, financial applications, and decentralized AI ecosystems. Key roundtables will address critical questions: Does AI truly need Web3? Experts will debate issues like data privacy, decentralized computing, and value attribution. Another session will focus on AI Agents and the future of human-computer interaction, examining how agentic AI could reshape industries by moving beyond traditional interfaces. This forum aims to cut through the hype and provide actionable insights into how AI and Web3 can move from technological overlap to symbiotic value creation.

The explosive popularity of OpenClaw has ignited a "national shrimp farming" trend. When the "intelligent emergence" of artificial intelligence meets the "trust machine" of Web3 head-on, what we are ushering in is far more than just a technological overlay—it is a profound revolution in value creation, distribution, and revaluation. When AI Agents make interfaces "disappear," what is the ultimate form of human-computer interaction? Does AI really need Web3?

On the afternoon of April 20th, Venue 1·Feng at the 2026 Hong Kong Web3 Carnival will host the "Web3 x AI: Value Reconstruction in the Intelligent Era" thematic forum. It will bring together pioneering forces from the global AI and Web3 fields, from the "lobster secrets" at the Silicon Valley frontier to the underlying logic of enterprise practice, from practical experience in security collaboration to future previews of human-machine symbiosis. It will provide in-depth analysis and forward-looking insights, exploring the new possibilities of Web3 and AI integration in the intelligent era.

Silicon Valley AI tech blogger Lang Hanwei will reveal what Silicon Valley is using lobsters for, decoding the wildest cutting-edge trends overseas from a unique tech blogger's perspective. John, Head of Asia-Pacific at TON Foundation, will share innovative explorations of TON ecosystem and AI collaboration. Qtum Co-founder Miguel Palencia will break down how to drive AI and Web3 from the "lab" to the "application field," building efficient and collaborative technical bridges for developers and enterprises.

Cobo Co-founder and CTO Changhao Jiang, based on practical experience, will thoroughly explain the collaboration between Web3 security and AI, safeguarding the steady progress of the integrated ecosystem. MaxQuant CEO Jeffery Zeng will focus on the innovative application of AI technology in asset analysis and risk control, showcasing the new value of finance and technology integration. Anoma Co-founder Adrian Brink will also explore the future blueprint of AI and Web3 symbiosis, leading the decentralized ecosystem to new intelligent heights.

In addition to keynote speeches that address core issues, high-quality roundtable discussions will bring together industry elites to discuss the central topics of current AI and Web3 integration.

On one side is AI's centralized reliance on data, computing power, and models; on the other is Web3's pursuit of decentralization, privacy, and rights confirmation. Are the two naturally complementary, or is it a "forced match"? Hosted by Gen Labs Limited CEO He Xiaoyang, alongside guests including Keywolf, Partner and Product Head of SlowMist, and Michael Yung, Strategic Advisor at Google Cloud, the roundtable discussion "Does AI Really Need Web3?" will take place. From data privacy and decentralized computing power to value rights, it will dissect the complementary space between AI and Web3, explore possible paths from "technological overlay" to "value symbiosis," and interpret the new changes in Web3 security in the AI era.

As AI Agents rapidly penetrate various industries, human-computer interaction is undergoing a revolution of "disappearing interfaces." From the "you-click, I-search" GUI, to the "you-say, I-do" conversational interface, and further to the "you-think, I-act" autonomous Agent, what exactly does the ultimate form of human-computer interaction look like? Guests including Zolo Xiong, Co-founder of Deep Chao TechFlow, KK, COO of Virtuals Protocol, Cindy Shi, CMO of Kite AI, and Bob, CEO of Questflow, will discuss topics such as the autonomy of AI Agents, user incentives, and experience. They will break down how AI Agents are breaking the boundaries of traditional human-computer interaction and reconstructing new paradigms for production, life, and industrial operations.

Value reconstruction in the intelligent era does not wait for bystanders; the best opportunities are always reserved for those who are present. This time, stand shoulder-to-shoulder with top global tech guests, penetrate the fog of technology, decode the core secrets of Web3 and AI integration, and jointly discover new possibilities for value in the intelligent era.

Optical Chips: Collective Capacity Expansion

The global optical chip industry is experiencing a massive wave of expansion driven by surging AI data center demand. Major players across the US, Japan, Europe, and China are aggressively investing to ramp up production capacity. In the US, Coherent is expanding its 6-inch Indium Phosphide (InP) semiconductor fab in Texas, supported by CHIPS Act funding and a $2 billion strategic investment from NVIDIA. Lumentum is building a new factory for InP optical devices, and Nokia is scaling its advanced photonic chip packaging and testing capabilities. NVIDIA's investments aim to secure future supply of critical lasers and optical interconnect products for AI infrastructure. Japan's JX Advanced Metals, a leading InP substrate supplier, plans a multi-billion yen investment to increase its capacity 7-10 times, strengthening its grip on the crucial upstream materials market. In Europe, IQE and Tower Semiconductor settled a patent dispute and signed a multi-year InP epitaxial wafer supply agreement, highlighting that next-generation silicon photonics platforms will integrate high-performance InP components. STMicroelectronics and Sivers Semiconductors are also expanding silicon photonics production and partnerships. China is rapidly building out its domestic supply chain. Dongshan Precision's subsidiary, Source Photonics, announced a $12 billion project to expand optical chip and module production. Companies like Sanan Optoelectronics and Yunnan Germanium are scaling up InP chip manufacturing and substrate production, moving towards vertical integration from materials to modules. While debate continues around the exact future architecture—whether CPO (Co-Packaged Optics), NPO, or pluggables will dominate—analysts like Morgan Stanley argue the underlying driver is unchangeable: the explosive growth in bandwidth demand. This will inevitably increase the volume of optical engines, lasers, and related content per GPU, regardless of the final technical path. The competition for "more light" in the AI era has intensified into a global, full-chain capacity race.

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Optical Chips: Collective Capacity Expansion

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Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

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1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit3h ago

1996 or 1999? Walsh's First Test is 'How to View AI'

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Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

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Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

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Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond

Intel CEO Chen Liwu outlines a bold vision for the company's transformation in a podcast interview, targeting a "10x return in 5-10 years." He emphasizes a strategic shift beyond traditional process node scaling, focusing on advanced packaging (like EMIB), new materials (glass substrates, GaN, SiC, InP, synthetic diamond), and system-level integration. Key to this is Intel's foundry business, where he prioritizes building trust through superior yield, defect density, and cycle times. Chen sees strong CPU demand resurgence driven by agent AI and inference workloads. He details the Terafab collaboration with Elon Musk to address semiconductor infrastructure gaps and stresses the strategic importance of U.S.-based advanced manufacturing. Acknowledging Intel is still in the "crawl" phase of his crawl-walk-run framework, Chen believes the company's full potential—extending from its PC base into edge computing and physical AI—will become apparent by 2030-2032.

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From "National Shrimp Farming" to the Intelligent Economy: The 2026 Hong Kong Web3 Carnival AI x Web3 Summit Agenda Unveiled!

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1996 or 1999? Walsh's First Test is 'How to View AI'

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Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond

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