2026-06-09 Terça

Centro de Notícias - Página 155

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Tiger Research: AI Agents Will Now Need Identity Verification

Tiger Research: AI Agents Now Need "ID Verification" AI agents are increasingly capable of autonomously executing contracts, making payments, and conducting trades. However, a critical issue remains unresolved: how to verify the identity of the agent on the other side of a transaction. This article examines the emerging competition to establish a KYA (Know Your Agent) standard and the current state of regulatory progress. **Core Points:** 1. As AI agents operate independently in A2A (agent-to-agent) scenarios, the focus shifts from KYC (Know Your Customer) to KYA for identity verification. 2. KYA is not universally required; it's essential primarily when independently deployed agents interact with open ecosystems like DEXs, engage in A2A payments, or pay merchants, not within centralized platforms. 3. A standards battle is underway, with four key players approaching KYA from different angles: * **ERC-8004:** A blockchain-native approach, creating agent IDs as NFTs with on-chain registries for identity, reputation, and validation. * **Visa TAP:** Leverages Visa's payment network to issue verified "Agent Intent" credentials, bundling agent identity into its payment rails. * **Trulioo:** Adapts the SSL certificate model to issue dynamic "Digital Agent Passports," verifying both developer (KYB) and user (KYC) credentials. * **Sumsub:** Focuses on real-time risk detection and re-verification of the human behind an agent during suspicious transactions, rather than pre-issuing certificates. 4. Regulatory momentum is building. The EU AI Act, the U.S. NIST, and Singapore's national AI governance framework are prioritizing agent identity management. The rollout of KYA standards is likely to follow a pattern similar to the FATF Travel Rule, becoming a watershed moment for the industry. The market is unlikely to have a single winner. Different approaches will dominate specific niches: ERC-8004 for on-chain autonomous transactions, Visa TAP for payment-bound commerce, Trulioo for regulated finance, and Sumsub for fraud-prone scenarios. The key differentiator will be which players successfully integrate their identity infrastructure earliest as adoption scales.

marsbit05/09 06:56

Tiger Research: AI Agents Will Now Need Identity Verification

marsbit05/09 06:56

Perspective: The current AI supercycle will last 15 years, but most are still buying stocks in the first FOMO stage

This article outlines a 15-year AI supercycle, segmented into four investment stages. It argues that while most investors are still focused on the first stage, smart money is already moving to the third. **Stage 1: The Foundation (2023-2025) - Priced In** The semiconductor layer (e.g., NVIDIA, AMD) is complete. While growth continues, the historic entry opportunity is over as risk/reward has compressed. **Stage 2: The Build-Out (2025-2027) - In Progress** This phase involves building the necessary physical infrastructure: power/utilities (CEG), cooling (VRT), networking (ANET), and nuclear SMRs (OKLO, SMR). Significant upside remains, but obvious names have already moved. **Stage 3: The Asymmetric Bet (2026-2028) - Positioning Window** AI moves into the physical world. Key areas include robotics/autonomy (Tesla Optimus), space/defense/drones (Rocket Lab, LUNR), and critical materials. This stage presents the best asymmetric risk/reward and is where positioning should occur now. **Stage 4: The Endgame (2028+) - Software Dominance** The mega-cap cloud platforms (Microsoft, Alphabet, Amazon, Meta), with their massive capital expenditure, will build the AI software layer and AGI infrastructure, aiming to win the entire cycle. **Core Conclusion:** The cycle is confirmed in Stage 2. Stage 3 (robotics, space, defense, nuclear SMRs) is where capital is currently rotating for maximum opportunity, while the majority of investors are expected to be 12 months behind this shift.

marsbit05/09 06:37

Perspective: The current AI supercycle will last 15 years, but most are still buying stocks in the first FOMO stage

marsbit05/09 06:37

30-Day Doubling, 15-Fold Year-to-Date Gain: Why is the English-Speaking Crypto Community FOMOing Over $ZEC Again?

Over the past week, ZEC has surged back into the spotlight on English Crypto Twitter, driven by endorsements from prominent figures like Naval, Arthur Hayes, and Mert Mumtaz, alongside a public "significant" position announcement from Multicoin Capital at Consensus Miami. The price has skyrocketed, with ZEC gaining over 110% in 30 days and 1500% year-to-date, now ranking among the top 20 cryptocurrencies by market cap. The primary catalyst is a shifting investment thesis. Multicoin Capital's Tushar Jain argues that while Bitcoin resists censorship, its transparent ledger leaves holdings vulnerable to potential wealth confiscation via taxation. Zcash's shielded pool, using zk-proofs to obscure transaction details, is positioned as "insurance against Bitcoin" for true financial privacy. Arthur Hayes has set a long-term price target of 10% of Bitcoin's value. Further momentum comes from technical developments announced at Consensus, including a roadmap for quantum-recoverable wallets and full post-quantum security within 12-18 months. Institutional adoption signals are growing, with a Grayscale ETF application pending, Robinhood listing ZEC, and Foundry launching a mining pool. However, a critical caveat is the recent departure of the entire original Zcash development team (ECC) due to governance conflicts, leaving the project's future development uncertain. While narrative and institutional interest are clearly fueling the current rally, distinguishing between genuine adoption and speculative flows remains difficult due to the very privacy features that define ZEC.

marsbit05/09 05:46

30-Day Doubling, 15-Fold Year-to-Date Gain: Why is the English-Speaking Crypto Community FOMOing Over $ZEC Again?

marsbit05/09 05:46

After Half a Year as a Token Broker, She Has Fallen into Every Pitfall of the Relay Station Business

Sukie, who operated an AI API "middle station" service for six months, recently open-sourced her entire setup process. Her story reveals the harsh realities of this once-lucrative but now hyper-competitive market. The core challenge is cost. Legitimate, compliant API accounts are expensive. To compete, many players resort to cheaper, high-risk sources like stolen accounts. The market has seen prices plummet from 70-80% of official rates down to 30-50%, a level unsustainable for compliant operators. Sukie believes a 70-80% price point is the minimum for healthy margins using legitimate methods. A major mistake was targeting the Chinese market while incurring USD costs. She found Chinese developers extremely price-sensitive compared to Western clients, leading to thin margins compounded by currency and payment hurdles. Operational burdens are heavy: maintaining a pool of hundreds of accounts against rising platform bans, handling detailed technical support, and managing cross-border payments and invoices for different client types. Marketing channels like X (Twitter) and referrals work best, while platforms like Douyin (TikTok) and Xianyu have poor ROI due to low intent or pricing mismatches. The landscape shifted dramatically with high-profile entrants like Justin Sun, Fu Sheng, and the Trump family. For them, the middle station is a loss leader to attract users to their primary businesses—crypto ecosystems, corporate narratives, or token promotions. This makes competing on price alone impossible for independent operators. Sukie open-sourced her methodology both as marketing and to demystify the industry. By eliminating the "black box" technical premium, she hopes to shift competition from cutthroat pricing towards service quality, stability, and compliance. Her advice: this is not a viable full-time venture for newcomers. The compliant path can't compete with grey-area discounters or ecosystem-backed giants. If already involved, focus on niche B2B, academic, or overseas markets. The middle station business, she concludes, is an entry ticket, not a destination, in the broader AI landscape.

marsbit05/09 04:48

After Half a Year as a Token Broker, She Has Fallen into Every Pitfall of the Relay Station Business

marsbit05/09 04:48

a16z Weekly Chart: Tech Giants Rely on 'Side Hustle' Investments for Income, Great AI Products Can Sell Out in a Day

a16z Weekly Charts: Four Counterintuitive Signals in Tech 1. **Super Platforms' "Other Income"**: Amazon and Google recorded exceptionally high "other income" in Q1, largely from unrealized gains in their private investment portfolios (e.g., Amazon's Anthropic stake). This contributed to over one-third of their net profit, far above the historical 5-10%. The broader trend shows tech capital expenditure is now the primary driver of US GDP growth, accounting for 55% of all business investment. 2. **AI-Generated eBook Proliferation**: Since ChatGPT's launch, monthly eBook releases on Amazon have tripled to over 300,000, flooding the platform with AI-generated content. However, research indicates this has also increased the volume of "decent" books, providing a net gain in consumer surplus by 2025. AI tools have particularly boosted productivity for established authors. 3. **Call Center Jobs Defy AI Replacement**: Contrary to predictions, call center employment in the Philippines has grown steadily from 1.15 million in 2016 to 1.9 million in 2025, with further growth projected. In the US, customer service job postings are outperforming the overall market. The key reason: the full cost of voice AI agents remains roughly equal to human agents (~$92 vs. ~$90 per day). Cases like Klarna show initial replacement can lead to quality issues and re-hiring. 4. **Rapid Adoption of AI Mobile Apps**: AI app downloads, revenue, and user time spent on mobile nearly doubled year-over-year in Q1. The market is highly dynamic, with new products like Codex quickly surpassing incumbents like Claude Code in daily installs. In the B2B space, enterprises are using multiple AI vendors, with less than 20% relying on a single supplier, indicating no winner-takes-all dynamic yet.

marsbit05/09 04:38

a16z Weekly Chart: Tech Giants Rely on 'Side Hustle' Investments for Income, Great AI Products Can Sell Out in a Day

marsbit05/09 04:38

Musk vs. Altman: Who Will Be the 'Fisherman'?

Elon Musk and Sam Altman are locked in a fierce legal and commercial battle. Musk, a co-founder of OpenAI, has sued the company and Altman, alleging they betrayed its original non-profit, open-source mission by transforming into a for-profit entity with significant Microsoft backing, now valued at $852 billion. He demands damages, a return to a non-profit structure, and management changes. The lawsuit hinges on whether OpenAI's founding charter was a legally binding charitable trust or merely an idealistic statement. OpenAI counters that Musk himself pushed for a for-profit model in 2017 but left when he couldn't gain full control, and now acts as a commercial rival with his xAI venture. Despite the high-profile feud, the article suggests the real winners (the "fishermen") may be others in the AI race. While Musk has folded xAI into SpaceX to pursue a "space-based computing" vision, his Grok chatbot lags in market share and user growth compared to leaders. OpenAI faces its own challenges, notably from rival Anthropic, which is rapidly catching up in revenue and enterprise adoption. Musk is reportedly leasing significant computing power to Anthropic, creating an "enemy of my enemy" dynamic. Furthermore, Chinese AI models like DeepSeek are quickly closing the capability gap. Ultimately, the lawsuit is seen as setting a precedent for AI governance, but the intense competition between Musk and Altman may primarily benefit other players, infrastructure providers like Nvidia, and emerging third forces in the global AI landscape.

marsbit05/09 04:27

Musk vs. Altman: Who Will Be the 'Fisherman'?

marsbit05/09 04:27

‘TACO’ Is Outdated, Wall Street Embraces ‘NACHO’ Trading

The Wall Street trading meme "TACO" (Trump Always Chickens Out) is being replaced by "NACHO" (Not A Chance Hormuz Opens), signaling a major shift in market expectations. TACO bets anticipated de-escalation from political figures, but this pattern broke on March 23rd when a Trump social media post claiming progress with Iran was denied by Tehran, causing a sharp but temporary market reversal. Since then, markets have adopted a NACHO mindset, betting the Strait of Hormuz will remain closed for an extended period. This view is reflected in three key markets. First, war risk insurance premiums for vessels transiting the strait have skyrocketed. Second, the oil futures curve shows a steep backwardation, with near-term prices far exceeding long-dated contracts, indicating expectations for a prolonged but not permanent supply crunch. Third, Federal Reserve rate cut expectations for 2026 have been priced out to zero due to persistent oil-price inflation. While the S&P 500 continues hitting record highs, the market internally reflects NACHO's impact. The energy sector ETF (XLE) has vastly outperformed the transportation sector ETF (IYT), as high oil prices directly benefit producers but squeeze transport and logistics companies' margins. The NACHO trade has a concrete deadline. Analysts warn global commercial oil inventories could reach critical "operational pressure" levels by early June. If the strait remains closed into September, OECD stocks may fall below the operational floor. Prediction markets currently assign a very low probability to the strait reopening before June. The market has shifted from reacting to political headlines to pricing in the physical realities of oil supply and inventory clocks.

marsbit05/09 04:16

‘TACO’ Is Outdated, Wall Street Embraces ‘NACHO’ Trading

marsbit05/09 04:16

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