2026-07-28 Tuesday

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Microsoft CEO Satya Nadella's Latest Warning: Betting Entirely on a Single AI Model Hands Over a Company's Lifeblood

Microsoft CEO Satya Nadella warns that companies relying solely on a single AI model could jeopardize their survival. He argues that over-dependence leads to "vendor lock-in," where businesses risk ceding control over their core data, memory, contextual history, and AI usage patterns. This dependence essentially outsources a company's critical thinking and operational know-how to an external provider. The deeper a company integrates with one AI system—feeding it prompts, internal data, and workflows—the more it reveals its unique business methods and competitive edge. This accumulated knowledge could become accessible to the AI supplier. Furthermore, switching providers becomes extremely costly and complex, as companies would need to rebuild their entire AI-augmented workflow, memory, and tool integrations from scratch. Nadella's solution is "decoupling." Companies should separate their proprietary data, memory, and control layer (or "harness") from the underlying AI models. By retaining metadata from every AI interaction, businesses can preserve their operational "brain" or institutional knowledge. This allows them to flexibly use different AI models (e.g., from OpenAI, Anthropic, Microsoft) for specific tasks without losing their accumulated expertise. The core idea: companies can rent the smartest models available, but they must keep their own "brain" and operational control firmly in-house.

marsbit39m ago

Microsoft CEO Satya Nadella's Latest Warning: Betting Entirely on a Single AI Model Hands Over a Company's Lifeblood

marsbit39m ago

Miners Advised Not to Buy GPUs for AI and to Focus on Infrastructure

A founder at an energy investment forum advises bitcoin miners not to purchase GPUs for AI themselves, but to instead focus on infrastructure like power and data center space. Mike Alfred of Alpine Fox stated that while AI infrastructure demand is a long-term, 20-30 year trend, it presents a key choice for miners. The first, riskier model involves owning and operating GPUs, which requires financing expensive hardware that quickly becomes obsolete. The second, more conservative model is akin to real estate: providing colocation services where clients bring their own servers, and the miner sells space, power, cooling, and water. Alfred noted this model is easier to finance. Most existing bitcoin mining sites are difficult and expensive to convert for AI, as AI data centers require far higher construction costs, redundant fiber connections, backup power, complex cooling, and near 100% uptime. A hybrid model, where mining acts as a flexible load to use excess power during AI data center construction or from generation facilities, was discussed. However, participants concluded this is only viable with very cheap power; otherwise, developers are better off focusing solely on AI. Miners are increasingly being evaluated for their available power capacity and project portfolios rather than just bitcoin output. Panelists also warned of risks in the AI sector, predicting at least one major default or contract breach among AI tenants, lenders, or landlords before bitcoin's next halving in 2028.

cryptonews.ru48m ago

Miners Advised Not to Buy GPUs for AI and to Focus on Infrastructure

cryptonews.ru48m ago

Millisecond 'Pay-to-Cut': How Did Hyperliquid's Priority Fee Turn into a Multi-Million Dollar Business?

"Millisecond 'Paid Queue-Jumping': How Hyperliquid's Priority Fee Became a Multi-Million Dollar Annual Business" In traditional finance, high-frequency trading firms spend millions on infrastructure for millisecond advantages. Hyperliquid has translated this race onto the blockchain with its "Priority Fee" system, creating an open economic game for speed. This system auctions two types of priority: **Gossip Priority** for faster data feeds (via a Dutch auction every 3 minutes), and **Order Priority** for front-of-queue trade execution (users bid a fee for lower latency). This converts a hardware race into a transparent, market-priced mechanism. Since launch, this feature has generated over $5M in protocol revenue. Projected annualized buybacks from this income exceed $30M, accounting for ~7% of total protocol revenue. The demand stems from large traders and market makers on Hyperliquid, for whom milliseconds can mean the difference between profit/loss or avoiding liquidation. Market makers pay these fees as "protection" to ensure their orders execute first, which in turn improves liquidity for all users. Crucially, Hyperliquid internalizes Maximum Extractable Value (MEV) that typically leaks to external validators or searchers, creating a new revenue stream beyond trading fees. The mechanism also strengthens HYPE's tokenomics. While 97% of trading fees fund secondary market buybacks (via the Assistance Fund), Priority Fees are **directly burned**, adding a second deflationary engine. Furthermore, fees for order priority are deducted from users' undelegated HYPE balances, encouraging large traders to hold and lock up tokens, reducing circulating supply. However, a key challenge remains: balancing the speed needs of institutional players with fair market access for retail users, as those who cannot pay high fees may suffer worse slippage during volatility. In summary, Hyperliquid's Priority Fee is a novel model that monetizes latency, captures MEV for the protocol, and enhances its native token's value through burning and lock-ups.

marsbit53m ago

Millisecond 'Pay-to-Cut': How Did Hyperliquid's Priority Fee Turn into a Multi-Million Dollar Business?

marsbit53m ago

The Truth Behind Digital Banking: The Fragile Ecosystem Supporting 1.46 Billion Users

The article "The Truth About Digital Banks: The Fragile Ecosystem Behind 1.46 Billion Users" provides a data-driven analysis of the digital banking sector based on a verified list of 368 active neobanks as of July 2026. While these platforms collectively serve 1.46 billion users, with Asia (817 million users) and institutions like WeBank and Nubank dominating the landscape, the sector faces significant structural vulnerabilities. A key finding is that only 127 of the 368 neobanks hold full banking licenses. The majority operate atop third-party infrastructure providers like Banking-as-a-Service (BaaS) platforms, creating systemic risk where the failure of a single provider, as seen in past cases like Wirecard and Synapse, can jeopardize multiple consumer brands. Furthermore, the industry experiences a steady, quiet stream of failures, mergers, and shutdowns that often go unreported. The analysis also examines the adoption of artificial intelligence (AI), finding only 67 platforms (18%) have deployed AI at scale, with many innovators based in emerging markets like Nigeria and the Philippines. The infrastructure layer is highly concentrated, with 106 providers supporting the entire ecosystem of 368 consumer-facing brands. The article concludes with three predictions: the unlicensed gap will close through acquisitions or exits; an AI credit model is likely to fail in the next economic downturn; and a nascent but significant trend is the emergence of financial services designed for AI agents rather than humans.

marsbit1h ago

The Truth Behind Digital Banking: The Fragile Ecosystem Supporting 1.46 Billion Users

marsbit1h ago

Digital Asset Trading Platform Uphold Cuts 17% of Global Workforce Amid 'Crypto Winter'

Cryptocurrency trading platform Uphold has laid off approximately 17% of its global workforce, affecting 85 full-time employees and contractors. The cuts are part of a strategic shift to reallocate resources towards its rapidly growing corporate services business, as retail cryptocurrency trading activity has declined amid the ongoing market downturn. CEO Simon McLaughlin stated the company is restructuring after years of significant growth and remains confident in the long-term prospects of digital assets and blockchain technology. Founded in 2015, Uphold offers trading and custody services for cryptocurrencies, fiat, stocks, and precious metals. It has recently expanded to provide infrastructure for banks, fintech firms, and broker-dealers to integrate crypto services. The layoffs occur against a backdrop of a prolonged crypto market slump, with total market capitalization falling to around $2.1 trillion by Q2 2024. Factors include weakened trading volumes, reduced retail participation, interest rate hikes, geopolitical uncertainty, and net outflows from U.S. spot Bitcoin ETFs. Uphold clarified it is not shutting down its UK operations or any international offices. The company highlighted strong growth in its corporate platform and announced plans to evolve its consumer app into a broader blockchain-based financial assistant by 2026, offering U.S. stocks, tokenized securities, lending, credit cards, and DeFi yield opportunities.

cryptonews.ru1h ago

Digital Asset Trading Platform Uphold Cuts 17% of Global Workforce Amid 'Crypto Winter'

cryptonews.ru1h ago

Has the Crypto Utopia Collapsed? The Industry Reaches an Inflection Point After the Frenzy Subsides

Has the crypto utopia collapsed? The industry is at an inflection point as the hype fades. The prevailing view is that crypto has become an outlet for excess liquidity, with many participants leaving as financial returns have fallen short of past-decade expectations. The 2021 boom has been revealed as an illusion, placing the industry in the "trough of disillusionment" on Gartner's Hype Cycle. This forces a return to first principles: re-evaluating token value, securing DeFi protocols, and finding real-world applications. The core failure is a repetitive cycle of reflexive speculation, driven by the premature liquidity of tokens. The industry's incentives prioritized short-term gains over genuine innovation. While curiosity drives invention, recent DeFi hacks signal a need for engineering and iteration, including token models. The culture is shifting; the industry is no longer in its early stages. Positioned at a turning point on the technology adoption curve, crypto faces the immense challenge of rebuilding finance from scratch, a process of inevitable iteration and failure. Regarding crypto VC, claims of its death are overstated. The exceptional returns of 2016-2021 were an anomaly. The initial crypto-anarchist ethos has largely been co-opted by Wall Street and regulators. The utopian vision is over; the industry is being assimilated into the existing system, becoming a business. Current viable project categories include stablecoins, prediction markets, tokenized assets/RWA, perpetual contracts, and AI/agent integration. Crypto is converging with fintech, far from the envisioned DeFi revolution, and must find killer apps within regulatory boundaries. A reconciliation is possible: cryptocurrency may change value storage and transfer in subtle, imperceptible ways that integrate into existing systems, rather than through revolutionary fanfare. True creativity often emerges from adversity. There remains much to build for those driven by genuine curiosity.

marsbit1h ago

Has the Crypto Utopia Collapsed? The Industry Reaches an Inflection Point After the Frenzy Subsides

marsbit1h ago

Lei Jun Earns 7 Billion in One Day from CXMT's IPO? Xiaomi Executive Responds

On July 28th, Changxin Technology's stock price on the Sci-Tech Innovation Board experienced minor fluctuations. The company had made a historic market debut the previous day, becoming the first A-share stock to record a single-day trading volume exceeding 1 trillion yuan. This led to significant paper gains for its strategic investors. Among them, Xiaomi's wholly-owned subsidiary was allocated 18.24 million shares with an initial investment of approximately 158 million yuan. Reports estimated a paper profit of 717 million yuan for Xiaomi founder Lei Jun based on his shareholding structure. However, a Xiaomi executive clarified that this was a corporate investment and should not be conflated with personal wealth. Other major beneficiaries included Alibaba and Nio. Alibaba, an early investor, held nearly a 5% stake through two entities, with an estimated paper gain exceeding 160 billion yuan. Nio, participating in the strategic placement, also saw substantial paper returns. Additionally, state-owned banks and insurance institutions that invested in Changxin recorded potential gains in the hundreds of billions. Conversely, companies like Country Garden reportedly missed out on nearly 50 billion yuan in potential gains after divesting their stakes before the IPO due to liquidity pressures. The article notes that these are paper profits based on the listing price, as the allocated shares are subject to lock-up periods, and final realized gains will depend on future stock performance. An employee from Changxin Technology commented that ordinary staff remain focused on their salaries and benefits rather than the market hype.

marsbit1h ago

Lei Jun Earns 7 Billion in One Day from CXMT's IPO? Xiaomi Executive Responds

marsbit1h ago

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