Crypto Morning Brief: TRUMP Team to Host Banquet for Holders, Backpack Plans TGE This Month

marsbitОпубліковано о 2026-03-13Востаннє оновлено о 2026-03-13

Анотація

Crypto Morning Brief: Key updates from March 13 include a speech by SEC Commissioner Atkins advocating for streamlined regulation and innovation exemptions for tokenized equities. BlackRock launched its first staked Ethereum ETF (ETHB), offering both ETH exposure and staking rewards. The TRUMP token team announced a summit and banquet for top token holders in April 2026. Backpack confirmed its TGE is scheduled for March 23. Avantis introduced a token buyback and burn program using 30% of daily trading fees. In AI and tech, Perplexity unveiled "Personal Computer," an AI-integrated Mac mini, while Tencent responded to data scraping allegations related to ClawHub. Funding highlights include Cryptio raising $45M for crypto accounting software, Oro Labs securing $100M for AI procurement automation, and Eightco Holdings completing a $125M round with investments in OpenAI and Beast Industries. Market analysis and opinion pieces covered topics like AI narrative arbitrage, the evolution of crypto exchanges, Bitcoin treasury strategies, and talent polarization in AI.

Author: Deep Tide TechFlow

Yesterday's Market Dynamics

US Initial Jobless Claims for the Week Ending March 7: 213K, Expected 215K

US initial jobless claims for the week ending March 7 were 213,000, compared to an expectation of 215,000; the previous figure was revised from 213,000 to 214,000.

SEC Commissioner Atkins Speaks: Advocates for Regulatory Slimdown, Supports Innovation Exemption for Equity Tokenization

According to the SEC website, US Securities and Exchange Commission (SEC) Commissioner Paul S. Atkins delivered a speech at the Investor Advisory Committee's annual meeting on March 12, focusing on three key issues.

First, reducing unnecessary disclosure burdens, promoting the "minimum effective dose regulation" principle, emphasizing that rules should be materiality-focused and flexibly adjusted based on company size; also suggesting extending the applicability period of the "IPO on-ramp" provision in the JOBS Act to encourage more small and medium-sized enterprises to go public.

Second, opposing the SEC's indirect intervention in corporate governance through "comply or explain" disclosure requirements, deeming such "shame-based regulation" beyond the SEC's authority, and asserting that governance decisions should be made by shareholders and directors themselves.

Third, commenting on equity security tokenization, stating that tokenization can improve settlement efficiency, reduce settlement risk, and cut intermediary layers, and revealing that the SEC will consider introducing an innovation exemption mechanism to support limited trading of specific tokenized securities and gather experience for formulating a long-term regulatory framework.

BlackRock Launches First Ethereum ETF with Staking Functionality

According to CoinDesk, BlackRock's iShares Staked Ethereum Trust ETF (ETHB) officially began trading on Nasdaq on March 13, Beijing time. This is BlackRock's third crypto ETF and the first product to incorporate Ethereum staking functionality. ETHB will hold spot ETH and stake a portion of its holdings, allowing investors to gain exposure to ETH price movements while earning staking rewards. The fund's management fee is 0.25%, with an introductory preferential rate of 0.12% for the first $2.5 billion in assets. BlackRock's total assets under management for crypto-related products currently stand at approximately $130 billion.

TRUMP Token Team to Host Banquet on April 25 for Top 297 TRUMP Token Holders

According to the GetTrumpMemes website, the TRUMP token team will host a Crypto & Business Summit and Banquet at Mar-a-Lago in Palm Beach, Florida, on April 25, 2026. US President Donald Trump will attend and deliver the keynote speech.

The event uses a holdings ranking mechanism. The top 297 qualified participants based on holding points will be eligible to attend. Among them, the top 29 VIP users will additionally receive exclusive access to a private reception with Trump and other guests, along with VIP front-row seating.

Backpack Announces TGE on March 23

According to an official announcement, Backpack announced its Token Generation Event (TGE) will be on March 23.

Avantis Announces Launch of AVNT Token Buyback and Burn Program

According to an official announcement on platform X, Avantis announced the launch of the AVNT token buyback and burn program. 30% of daily trading revenue (including opening fees, closing fees, and profit fees) will be used to repurchase and burn AVNT tokens on the open market. This mechanism is now officially active. The official statement indicated that the percentage of fees allocated for buybacks is expected to increase to over 50% following future protocol efficiency upgrades, anticipated to be implemented by the end of Q2 2026.

Tencent Responds to "Mass Scraping of ClawHub" Allegations: Only Pulled 1GB of Data from Official Source with Non-Concurrent Requests

Tencent's AI X account, Tencent AI (@TencentAI_News), responded to community allegations regarding "mass scraping of ClawHub," stating: "Hello Peter, we understand your concerns. SkillHub is a localized skills platform built by Tencent based on the OpenClaw ecosystem, aiming to provide better skill availability and speed for Chinese users.

We are transparently stating that we operate as a local mirror site and always attribute ClawHub as the data source. In the first week of launch, we handled 180GB of traffic for users (870k downloads), while only pulling 1GB of data from the official source (via non-concurrent requests).

Many members of our team are active contributors (code and PRs), and we are eager to support the ecosystem and become better sponsors."

Previous reports indicated that the community accused Tencent's platform SkillHub of mass scraping all skill data from OpenClaw's official skill marketplace, ClawHub, and importing it into its own platform. Peter Steinberger called on Tencent to provide some support rather than unilaterally consuming resources.

Perplexity Launches New Product 'Personal Computer,' Enabling 24/7 Cross-File, Cross-Application, and Cross-Session Operations

According to an official disclosure by AI search startup Perplexity, the company has formally announced the launch of 'Personal Computer.' This product, based on a continuously running Mac mini, deeply integrates Perplexity's AI capabilities with local devices, enabling 24/7 operation and supporting cross-file, cross-application, and cross-session operations.

Perplexity has now opened a waitlist application for the first batch of users and will provide corresponding support and resources to early users.

Crypto Accounting Startup Cryptio Completes $45 Million Series B Funding Round Led by BlackFin Capital Partners

According to a Fortune report, crypto accounting startup Cryptio announced the completion of a $45 million Series B funding round led by BlackFin Capital Partners and Sentinel Global, with participation from 1kx, BlueYard Capital, and Ledger Cathay Capital. Cryptio provides software for enterprise digital asset tracking, crypto loan management, and blockchain asset monitoring. It currently has 110 employees and over 450 clients, including stablecoin issuer Circle and the blockchain subsidiary of Société Générale.

AI Procurement Automation Startup Oro Labs Completes $100 Million Series C Funding Round Led by Goldman Sachs

According to a Fortune report, Silicon Valley AI procurement automation startup Oro Labs announced the completion of a $100 million Series C funding round led by Goldman Sachs Growth Equity and Brighton Park Capital, with participation from existing investors Norwest Venture Partners, B Capital, XYZ Capital, and Felicis. This brings the company's total funding to $160 million. Oro Labs' "procurement orchestration platform" uses AI technology layered on top of enterprises' existing ERP and procurement systems, providing compliance review and process automation services for Fortune 500 clients like Coca-Cola, Pfizer, and Novartis.

Eightco Holdings Announces Completion of $125 Million Funding Round Led by Bitmine

According to PR Newswire, Eightco Holdings (NASDAQ: ORBS) announced the completion of a $125 million funding round. Bitmine (NYSE: BMNR) led with $75 million, with ARK Invest and Payward (Kraken's parent company) each committing $25 million. Other investors include Pantera, Coinfund, GSR, and other institutions. The company simultaneously disclosed a completed $50 million strategic investment in OpenAI and a $25 million investment in MrBeast's Beast Industries, while maintaining holdings in Worldcoin and Ethereum. Bitmine Chairman Tom Lee joined the ORBS board, and ARK Invest Chief Futurist Brett Winton joined as a board advisor.

Market Trends

Recommended Reading

Meta Acquires Moltbook: 42 Days, A Perfect Narrative Arbitrage

This article details the journey of an AI platform called Moltbook from its launch to its acquisition by Meta within 42 days, revealing the phenomenon of "narrative arbitrage" in the AI industry. Moltbook was an experimental platform generating code via AI assistants, specifically designed for AI agents. The article explores how narratives are excessively hyped in tech circles, how valuations are driven, and how retail investors often become the ultimate "bag holders" in this process.

Conversation with Bitget CEO & Dragonfly Partner: BTC at $60-70K is a Good DCA Opportunity, CEX is Moving Towards an "All-in-One" Endgame

This article primarily discusses the trend of cryptocurrency exchanges transforming into "Universal Exchanges" (UEX), along with the current state and future direction of the cryptocurrency market. Through a dialogue with Bitget CEO Gracy Chen and Dragonfly Capital partner Rob Hadick, it provides an in-depth analysis of tokenized assets, the application of AI technology in crypto trading, and the impact of geopolitics and macroeconomics on the market.

Strive Buys Strategy Stock: Bitcoin Treasury Companies Begin Interlocking Investments

This article describes how a company named Strive raised funds by issuing preferred shares (SATA) to purchase Bitcoin and preferred shares (STRC) issued by another Bitcoin-holding company, Strategy. This model of mutual investment is termed "interlocking" (套娃), and its core logic relies on the continuous rise of Bitcoin's price; otherwise, the entire chain could be at risk. Strive currently holds 13,311 Bitcoin, worth approximately $930 million, but its stock price has plummeted 97% from its high. Both companies are doubling down on Bitcoin investments, but this strategy carries significant market volatility risks.

3 Million to Snag a PhD, Post-95s Are Already "Old": AI Recruitment is "Burying" the Middle Layer

This article explores the current state of the job market in the artificial intelligence (AI) field, revealing that while the rapid development of the AI industry creates high-salary opportunities, it also leads to talent polarization and the squeezing out of the middle layer. The article analyzes the talent demand, hiring trends in AI sector, and the resulting social issues.

You're Still Installing OpenClaw, This Company Has Already Built an AI Computer

This article primarily introduces a company named Perplexity and its latest product, "Personal Computer"—a system that deeply integrates AI functionality into a Mac mini, designed to automatically complete user tasks through AI models rather than merely providing answers. The article also discusses the current state of the AI industry and the challenges faced by Perplexity.

Пов'язані питання

QWhat is the key feature of BlackRock's new iShares Staked Ethereum Trust ETF (ETHB)?

AIt is BlackRock's first Ethereum ETF to incorporate a staking function, allowing investors to gain exposure to ETH's price and earn staking rewards.

QWhat event is the TRUMP token team hosting for its top holders, and who is the special guest?

AThe TRUMP token team is hosting a Crypto & Business Summit and Banquet on April 25, 2026, at Mar-a-Lago in Palm Beach, Florida, with former President Donald Trump as the keynote speaker.

QWhat did SEC Commissioner Paul S. Atkins propose regarding equity security tokenization?

AHe stated that tokenization can improve settlement efficiency, reduce settlement risk, and cut out intermediaries. He also revealed the SEC is considering an innovation waiver to support limited trading of certain tokenized securities to gather experience for a long-term regulatory framework.

QWhat is the main purpose of the new product 'Personal Computer' launched by Perplexity?

AIt is a Mac mini-based system that deeply integrates Perplexity's AI capabilities with local devices, enabling it to run 24/7 and perform cross-file, cross-application, and cross-session operations to automate user tasks.

QHow much funding did the crypto accounting startup Cryptio raise in its Series B round and who were the lead investors?

ACryptio raised $45 million in a Series B funding round led by BlackFin Capital Partners and Sentinel Global.

Пов'язані матеріали

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit8 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit8 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit13 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit13 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit13 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit13 хв тому

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