2026-08-07 Sexta

Notícias de cripto - Página 329

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

Kraken Adds Solana On-Chain Token Trading Directly Inside Its App

Kraken has integrated on-chain Solana token trading directly into its main app, eliminating the need for users to use a separate wallet or manage seed phrases. Eligible customers in the U.S. and over 100 countries can now trade approximately 2,500 verified Solana-based tokens within the familiar Kraken interface. This move aims to simplify decentralized trading by using embedded wallet technology from Privy and Solana DEX protocols to handle transactions in the background, while displaying on-chain holdings alongside centralized exchange balances. The exchange chose Solana due to its fast-moving token markets and retail trader familiarity, offering access to assets that often appear on-chain before centralized listings. However, Kraken clarifies that these on-chain tokens have not undergone the same review process as centralized listings, meaning market risks remain. This integration reflects a broader trend of major exchanges incorporating DeFi features to retain users who seek early access to new tokens. While not replacing advanced DeFi wallets, Kraken's solution seeks to make on-chain trading more accessible to a mainstream retail audience.

bitcoinist06/19 03:31

Kraken Adds Solana On-Chain Token Trading Directly Inside Its App

bitcoinist06/19 03:31

Litecoin ETF’s Slow Start Shows Altcoin Funds Still Face A Demand Test

The Canary Capital spot Litecoin ETF (LTCC) has had a slow start, with reported inflows of around $9.3 million since launch and assets under management at a lower level. This highlights the significant gap in institutional demand compared to Bitcoin and Ethereum ETFs. While Litecoin has an established history, its more modest narrative around payments and longevity hasn't yet made it a must-own institutional product. The case demonstrates that regulatory approval alone does not guarantee strong investor allocation. For the broader altcoin ETF thesis, future products may see different demand, but Bitcoin and Ethereum are likely to remain the primary institutional channels for the foreseeable future.

bitcoinist06/19 02:32

Litecoin ETF’s Slow Start Shows Altcoin Funds Still Face A Demand Test

bitcoinist06/19 02:32

The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

While the AI community celebrates Noam Shazeer, co-author of the "Attention Is All You Need" paper, joining OpenAI as Head of Architectural Research, the company's audited financials reveal a starkly different reality. In 2025, OpenAI reported $13.07 billion in revenue but a massive $20.92 billion operating loss. Even excluding a one-time accounting charge, the cash burn is severe, with $3.7 billion consumed in Q1 2026 alone. This high-profile hiring occurs against a backdrop of significant internal research talent drain, with key founders and researchers departing as the company's focus shifts from exploratory research to product iteration. Meanwhile, OpenAI's fundamental business model faces a deep crisis. It paid Microsoft $10.59 billion for compute in 2025, while its vast user base of 9 billion weekly actives includes only 50 million paying customers, making growth a direct driver of escalating costs. The article argues Shazeer's recruitment is less about technical necessity and more about crafting a compelling narrative for OpenAI's upcoming IPO, aiming to justify a rumored $1 trillion valuation to future public market investors. It contrasts OpenAI's strategy with Anthropic's reported path to profitability, which relies on a strong enterprise customer base and cost control, rather than star-powered narratives. Ultimately, the piece concludes that while Shazeer's architectural work may take 1-2 years to materialize, OpenAI's financial clock is ticking much faster, with its massive losses undercutting the celebratory headlines.

marsbit06/19 02:27

The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

marsbit06/19 02:27

To 'Own' or 'Rent' Intelligence? The New Question for AI Startups

The shutdown of Mythos has prompted a fundamental question for AI startups: is your intelligence "rented" or "owned"? While using frontier model APIs allows for rapid prototyping, it cedes control over your core capabilities to external providers, whose decisions on pricing, rules, or even shutdowns can jeopardize your business. The critical issue isn't just cost, but control and ownership. The lesson isn't to abandon frontier models, but to build upon them. "Owning" intelligence means starting with a powerful open-source model and systematically shaping it with your unique assets: your proprietary data, workflows, domain expertise, edge cases, and evaluation standards. Over time, this creates a company-specific asset that reflects your real work. The future of AI isn't a single, dominant model. There will be multiple "frontiers": general-purpose frontier models, company-specific models fine-tuned on proprietary knowledge, specialized vertical models, and routing systems that orchestrate multiple models. The winning companies will be those that transform intelligence into their own unique, controlled asset, ensuring no one can pull the floor from under their product.

marsbit06/19 02:08

To 'Own' or 'Rent' Intelligence? The New Question for AI Startups

marsbit06/19 02:08

Market Trend (June 19): US-Iran Deal Drives Out Geopolitical Premium; Chip Stocks Soar to New Highs; Energy Sector Leads Declines

U.S. Market Trends (June 19): U.S.-Iran Deal Eases Tensions, Chip Stocks Soar, Energy Sector Leads Declines. U.S. stocks rallied on Thursday as the signing of a temporary U.S.-Iran deal in Geneva de-escalated Middle East tensions, with Saudi oil tankers transiting the Strait of Hormuz. This geopolitical relief helped markets recover from recent Fed-driven volatility. The S&P 500 rose over 1%, the Nasdaq gained nearly 2%, and the Dow Jones Industrial Average closed at another record high. The Philadelphia Semiconductor Index surged over 6% to a historic peak. Chip stocks were the standout performers. Reports of an Apple-Intel design and foundry deal for certain products, alongside mentions of potential Nvidia and SpaceX collaborations with Intel, propelled the sector. Intel surged ~10.5%, while memory chip makers like Micron also saw significant gains, highlighting sustained confidence in long-term AI capital expenditure. In contrast, the energy sector was the day's sole loser, with the S&P 500 energy sub-index declining as WTI crude fell ~2% to around $74.29/barrel. The reopening of key shipping routes erased prior geopolitical risk premiums. SpaceX extended losses for a second day on news of a potential large bond offering. Market volatility (VIX) dropped sharply, indicating a swift reversal of post-Fed jitters. Treasury yields dipped slightly but remained elevated. The focus now shifts to upcoming economic data, including next week's PCE inflation report and Micron's earnings, which will serve as a key test for the AI trade's durability.

marsbit06/19 02:05

Market Trend (June 19): US-Iran Deal Drives Out Geopolitical Premium; Chip Stocks Soar to New Highs; Energy Sector Leads Declines

marsbit06/19 02:05

Will MicroStrategy Fall Into a Death Spiral? How Will the Macro Outlook Evolve in the Second Half of the Year?

**Summary:** The discussion centers on recent Bitcoin price declines and the evolving financial strategy of MicroStrategy (MSTR). The core argument is that the primary pressure is not from one-off Bitcoin sales by MSTR, but from the market's new expectation that MSTR may need to engage in *sustained, small-scale* Bitcoin sales to cover cash flow obligations for its growing portfolio of preferred shares and debt instruments (like STRC). This shift is driven by its stated goal of maintaining "bitcoins per share neutrality." The market is now testing whether it can absorb this potential ongoing selling pressure without entering a severe "death spiral" with Bitcoin's price. A resolution may involve MSTR softening its approach to avoid damaging both its stock and Bitcoin. The conversation then explores the parallel rise of AI-related stocks. The guest posits that AI is fundamentally restructuring labor, with "tokens" (representing access to AI models/compute) becoming a new form of capital and a substitute for human execution. This drives corporate efficiency and profits, benefiting upstream hardware providers (semiconductors, data centers), which explains the sustained rally. This represents the early stages of a "machine economy." Regarding crypto exchanges offering US stock trading, this is seen as a natural evolution. With few crypto-native assets generating lasting value, exchanges are pivoting to distribute valuable real-world assets (RWAs). This doesn't necessarily harm crypto's long-term prospects, as blockchain infrastructure may become crucial for future machine-to-machine economies. The analysis concludes that the era of rampant altcoin speculation is likely over, heavily damaged by the liquidity shock of the "1011" event (likely referring to a major market crash). Meme-driven capital has largely migrated to US equities. Looking ahead, macroeconomic uncertainty is rising due to potential large IPOs (e.g., SpaceX) and the US elections. While short-term market corrections are possible, the long-term trends of AI-driven productivity gains and the maturation of blockchain towards real-world utility and institutional adoption remain intact.

marsbit06/19 02:01

Will MicroStrategy Fall Into a Death Spiral? How Will the Macro Outlook Evolve in the Second Half of the Year?

marsbit06/19 02:01

Will MicroStrategy Fall into a Death Spiral? What Will the Macro Trend Be in the Second Half of the Year?

The podcast features investor Didier discussing the recent Bitcoin downturn and the evolving strategy of MicroStrategy (MSTR). He argues the core pressure is not macro factors or ETF outflows, but the market pricing in an expectation that MSTR will engage in continuous, small-scale Bitcoin sales to fund its increasing preferred stock and debt obligations under its "bitcoin-per-share neutrality" principle. This creates a structural headwind. However, he is cautiously optimistic a "death spiral" is avoidable without new major shocks, as market support is likely to emerge at a certain price point. Didier then posits that the AI-driven bull market in US stocks (semiconductors, data centers) is fundamentally driven by AI agents and tokens becoming the "new labor force," displacing human roles and boosting corporate margins. This shift toward a machine economy is still in its early stages. He comments on crypto exchanges adding US stock trading, viewing it as a natural move toward valuable real-world assets as truly valuable crypto-native assets remain scarce. For crypto-native traders, he suggests existing strategies (e.g., meme-chasing or value investing) can translate to similar assets in US markets. The discussion notes the severe liquidity damage from the "1011 event" (likely referring to a major market crash) has essentially ended the altcoin cycle, with speculative momentum shifting to the more liquid US stock market. Regarding the macroeconomic outlook for H2 2024, Didier expresses increased caution due to potential market pressure from upcoming mega-IPOs (e.g., SpaceX) and US midterm election risks. Long-term, he remains bullish on AI's productivity gains and its convergence with blockchain/Web3, which he sees maturing into a more institutional, real-asset-focused phase.

链捕手06/19 01:58

Will MicroStrategy Fall into a Death Spiral? What Will the Macro Trend Be in the Second Half of the Year?

链捕手06/19 01:58

Dylan Patel: Founder of SemiAnalysis, Praised by Jensen Huang, is a 'Beekeeper' and 'Forum Enthusiast'

Dylan Patel, founder of the independent research firm SemiAnalysis, has an unconventional background. A former beekeeper from rural Georgia, he entered the semiconductor world as a self-taught "forum warrior," discussing chip technology anonymously online from a young age. He launched the SemiAnalysis blog in May 2020, which later transitioned to a paid subscription model. The firm has grown from a one-person operation to a global team of around 60, with a dedicated teardown lab. Its detailed, technically-focused analysis on semiconductor supply chains, AI infrastructure, and products has earned significant industry recognition. Notably, NVIDIA founder Jensen Huang has publicly cited their reports. In a landmark case, a critical 2024 report on AMD's MI300X GPU software stack led to a 90-minute call with AMD CEO Lisa Su, who thanked him for the constructive feedback. SemiAnalysis later acknowledged AMD's improvements. The firm's influence on markets was seen when a report on NVIDIA's Rubin memory configuration was partially shared, affecting memory stock prices. Dylan Patel emphasized the importance of context, contrasting the shared excerpt with the report's actual title. SemiAnalysis, now a multi-faceted consultancy with revenue projected to reach $100 million, is known for its deep technical insights that influence major industry players and investment decisions.

marsbit06/19 01:08

Dylan Patel: Founder of SemiAnalysis, Praised by Jensen Huang, is a 'Beekeeper' and 'Forum Enthusiast'

marsbit06/19 01:08

Dylan Patel: SemiAnalysis, Praised by Jensen Huang, is Founded by a 'Beekeeper and Forum Warrior'

Dylan Patel, founder of the independent research firm SemiAnalysis, has an unconventional background. Growing up in rural Georgia, he later worked as a beekeeper in Minnesota. His entry into semiconductors began as a self-taught "forum warrior," engaging anonymously in online tech communities from a young age. In May 2020, he started the SemiAnalysis blog on WordPress, later moving it to Substack as a paid subscription service. The firm has since evolved from a one-person operation into a global company with around 60 employees, featuring a dedicated chip teardown lab. Its revenue, reaching $20 million last year, is projected to surpass $100 million this year. SemiAnalysis is highly regarded in the AI and semiconductor industry for its deep technical analysis. NVIDIA founder Jensen Huang has publicly praised its reports. In a notable instance, a critical report on AMD's MI300X GPU software shortcomings prompted a 90-minute call with CEO Lisa Su, who thanked Patel for the "constructive feedback." A later report acknowledged AMD's subsequent improvements. The firm's analyses have significant market impact. For example, a June report discussing potential memory configuration changes in NVIDIA's next-generation servers was cited as a factor in pressure on memory-related stocks. Patel plans to establish a venture capital firm, having already made personal investments in about 20 startups. SemiAnalysis combines roles as a consultancy, model platform, and tech lab, focusing on the practical bottlenecks in AI infrastructure.

Odaily星球日报06/19 01:03

Dylan Patel: SemiAnalysis, Praised by Jensen Huang, is Founded by a 'Beekeeper and Forum Warrior'

Odaily星球日报06/19 01:03

Ethereum Q1 Report: On-chain Activity Hits Record High, Tokenized Assets Lead the Industry

Ethereum Q1 2026 Report: On-chain activity hits record high, tokenized assets lead the industry. In Q1 2026, Ethereum's network experienced a unique divergence: on-chain activity soared while USD-denominated metrics declined. Monthly active users reached 13.2 million, transactions hit 200.4 million, and TPS averaged 25.78, all setting new highs. However, total value locked (TVL) fell 11.0% to $316.2B, DEX volume dropped 24.0% to $134.5B, and ETH's fully diluted market cap fell 30.3% to $290B. A key driver was the Blob Parameter Fork (BPO#2) in January, which increased data capacity and caused a sharp 47.9% drop in layer-1 transaction fees despite higher usage. Etherean's tokenized asset market cap reached $203.4B, up 42.9% year-over-year. While stablecoins ($178.9B) saw a slight dip, tokenized funds ($19.4B, +73.1% YoY), commodities ($4.7B, +325.9% YoY), and stocks ($365.1M) grew strongly. Ethereum dominates cross-chain comparisons, holding 71% of TVL, 79.2% of active loans, 61.8% of stablecoins, and 73% of tokenized funds among top chains. The report highlights a "Jevons Paradox" scenario: network expansion reduces per-transaction costs but unleashes latent demand, driving long-term growth. Ethereum's strategy mirrors Amazon's early focus on scale over profit. Its open, neutral foundation is seen as critical for institutional adoption, as evidenced by growing activity from firms like BlackRock and JPMorgan. The roadmap targets further scalability, aiming for thousands of TPS by 2029 to solidify its role as a global financial settlement layer.

marsbit06/19 01:00

Ethereum Q1 Report: On-chain Activity Hits Record High, Tokenized Assets Lead the Industry

marsbit06/19 01:00

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