2026-04-18 Sábado

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Tens of Millions of Errors Per Hour: Investigation Reveals the 'Accuracy Illusion' of Google AI Search

A New York Times investigation, in collaboration with AI startup Oumi, reveals significant accuracy and reliability issues with Google's AI Overviews search feature. Testing over 4,300 queries showed the accuracy rate improved from 85% (powered by Gemini 2) to 91% (Gemini 3). However, given Google's scale of ~5 trillion annual searches, this 9% error rate translates to nearly 57 million incorrect answers generated hourly. A critical finding is the prevalence of "unsubstantiated citations." For correct answers, the rate of citations that do not support the AI's summary surged from 37% to 56% with the Gemini 3 upgrade, making it difficult for users to verify information. The AI heavily relies on low-quality sources, with Facebook and Reddit being among its top-cited websites. Furthermore, the system is highly manipulable. A BBC journalist successfully "poisoned" it by publishing a fabricated article; Google's AI began presenting the false information as fact within 24 hours. Google disputed the study's methodology, criticizing its use of the SimpleQA benchmark and an AI model (Oumi's own) to evaluate another AI. The company maintains its AI Overviews, combined with its search ranking systems, perform better than the underlying model alone. Critics note this defense does little to bolster user confidence in the feature's reliability.

marsbit04/13 02:09

Tens of Millions of Errors Per Hour: Investigation Reveals the 'Accuracy Illusion' of Google AI Search

marsbit04/13 02:09

Reflections and Confusions of a Crypto VC

An encrypted VC's reflection on the current crypto investment landscape, which is undergoing a significant reset. Token exits, once the primary driver of outsized returns, are being redefined in real-time, with no established valuation framework yet emerging. Key market shifts include: the rise of tokens like HYPE, which demonstrated that token prices can be backed by real, on-chain revenue, forcing a reassessment of governance tokens with weak fundamentals; a massive supply shock from meme coins (e.g., PUMP) fragmenting liquidity; and the diversion of retail speculative capital into prediction markets, stock perps, and leveraged ETFs. Major questions VCs are now grappling with: whether they are underwriting equity, tokens, or a hybrid; what constitutes best practices for on-chain value accrual beyond potentially toxic token buybacks; and whether the "crypto premium" will vanish entirely, compressing token valuations to traditional equity multiples and potentially crashing Layer 1 valuations by over 95%. The author argues the pendulum has swung too far towards quantitative DeFi metrics and that qualitative factors like culture, innovation, and security remain crucial for non-DeFi projects. The conclusion is that token return expectations have compressed significantly, pushing later-stage investors towards "Web2.5" companies with tangible revenue. Crypto VCs must now prove their value beyond capital by offering strong branding and value-add to founders to survive.

marsbit04/13 01:33

Reflections and Confusions of a Crypto VC

marsbit04/13 01:33

When AI's Bottleneck Is No Longer the Model: Perseus Yang's Open Source Ecosystem Building Practices and Reflections

In 2026, the AI industry's primary bottleneck is no longer model capability but rather the encoding of domain knowledge, agent-world interfaces, and toolchain maturity. The open-source community is rapidly bridging this gap, evidenced by projects like OpenClaw and Claude Code experiencing explosive growth in their Skill ecosystems. Perseus Yang, a contributor to over a dozen AI open-source projects, argues that Skill systems are the most underestimated infrastructure of the AI agent era. They enable non-coders to program AI by writing natural language SKILL.md files, transferring power from engineers to all professionals. His project, GTM Engineer Skills, demonstrates this by automating go-to-market workflows, proving Skills can extend far beyond engineering into areas like product strategy and business analysis. He also identifies a critical blind spot: while browser automation thrives, agent operations are nearly absent from mobile apps, the world's dominant computing interface. His project, OpenPocket, is an open-source framework that allows agents to operate Android devices via ADB. It features human-in-the-loop security, agent isolation, and the ability for agents to autonomously create and save new reusable Skills. Yang believes the value of open source lies not in the code itself, but in defining the infrastructure standards during this formative period. His work validates the SKILL.md format as a portable unit for agent capability and pioneers new architectures for agent operation in API-less environments. His design philosophy prioritizes usability for non-technical users, ensuring the agent ecosystem can be expanded by practitioners from all fields, not just engineers.

marsbit04/13 01:29

When AI's Bottleneck Is No Longer the Model: Perseus Yang's Open Source Ecosystem Building Practices and Reflections

marsbit04/13 01:29

From Wall Street to Silicon Valley, Anthropic Steals All the Spotlight from OpenAI

From Wall Street to Silicon Valley, Anthropic is seizing the spotlight from OpenAI. In just one year, the power dynamics in the AI have shifted significantly. Anthropic is now challenging OpenAI across multiple fronts: market share, secondary market valuation, venture capital sentiment, and public perception. At the recent HumanX AI conference, the consensus was clear—Anthropic is the new darling of Silicon Valley. Its annualized recurring revenue (ARR) has reportedly reached $300 billion, surpassing OpenAI's $250 billion. In the secondary market, Anthropic's valuation has overtaken OpenAI's, with strong investor preference for its shares. Anthropic dominates the enterprise sector, holding 42-54% of the code generation market and 40% of the enterprise agent market, compared to OpenAI's 21% and 27%, respectively. It also leads in new enterprise adoption and cost efficiency. While OpenAI retains a strong consumer user base with ChatGPT, it faces challenges inization and high operational expenses. A leaked internal memo from OpenAI identified Anthropic as its biggest threat, emphasizing its compute infrastructure advantage, but the very need for such a memo highlights its defensive position. Despite OpenAI's strong backing from Amazon and NVIDIA, the market is now valuing efficiency, cost-effectiveness, and precise market fit—areas where Anthropic currently leads. However, experts caution that the AI race is far from over and the landscape remains highly fluid.

marsbit04/13 01:07

From Wall Street to Silicon Valley, Anthropic Steals All the Spotlight from OpenAI

marsbit04/13 01:07

Stop Staring at GPUs: CPUs Are Becoming the 'New Bottleneck' in the AI Era

In the AI era, while GPUs have long been the focus for computational power, the narrative is shifting as CPUs are increasingly becoming the new bottleneck. By 2026, system performance is more dependent on execution and scheduling capabilities, with CPUs playing a critical role in enabling AI operations. A supply crisis is emerging, with server CPU prices rising about 30% in Q4 2025 due to high demand and production constraints, as GPU orders compete for limited semiconductor capacity. Companies like Google and Intel have deepened collaborations, and Elon Musk is investing in custom CPU solutions for his ventures, highlighting the strategic importance of CPU infrastructure. The shift is driven by the rise of agentic AI, where CPUs handle tasks such as multi-step reasoning, API calls, and data I/O, accounting for 50–90.6% of total latency in intelligent workloads. Expanding context windows in AI models further strain GPU memory, necessitating CPU offloading for key-value cache management. Major players are adopting varied strategies: Intel is strengthening its Xeon processor line and partnerships; AMD is benefiting from increased demand, with server CPU revenue surpassing 40%; and NVIDIA is designing CPUs like Grace to optimize GPU-CPU synergy through high-speed interconnects. The industry is witnessing a rebalancing of compute infrastructure, with CPUs gaining prominence as essential enablers of scalable AI agent systems. By 2030, the CPU market is projected to double to $60 billion, driven largely by AI demands. The focus is now on overcoming system-level bottlenecks to maximize the efficiency and economic viability of AI deployments.

marsbit04/13 00:57

Stop Staring at GPUs: CPUs Are Becoming the 'New Bottleneck' in the AI Era

marsbit04/13 00:57

‘Last Chance’: US Crypto Policy Hits Critical Deadline, Senator Says

US Senator Cynthia Lummis has warned that the current legislative session is the "last chance until at least 2030" to pass the CLARITY Act, a key piece of market-structure legislation for digital assets. The bill, which aims to provide clear regulatory rules for the crypto industry, faces a critical deadline as November midterm elections threaten to shift congressional priorities. Industry leaders, including Coinbase's Paul Grewal and Brian Armstrong, and a16z Crypto's Chris Dixon, are pushing for its passage, arguing that regulatory clarity will boost innovation and consumer protection. However, a major obstacle remains: a dispute over how to handle stablecoin yield. Despite growing support from companies and some regulators, this unresolved issue could prevent the bill from advancing. The act is seen as a test of Washington's ability to establish crypto regulations before the political window closes.

bitcoinist04/12 22:01

‘Last Chance’: US Crypto Policy Hits Critical Deadline, Senator Says

bitcoinist04/12 22:01

Bitwise Submits Second Amended Hyperliquid ETF Filing — Launch Imminent?

Bitwise has filed a second amended application with the SEC for its spot Hyperliquid (HYPE) ETF, adding FalconX, Flowdesk, Nonco, and Wintermute as approved trading counterparties. This update, highlighted by Bloomberg analyst Eric Balchunas, suggests an imminent launch. Bitwise is positioned to be the first to market with a HYPE ETF, ahead of competitors 21Shares and Grayscale. The proposed fund, with ticker BHYP and a 0.67% management fee, plans to generate additional yield through staking. Meanwhile, HYPE's price has surged over 65% year-to-date, trading near $43 amid strong market performance.

bitcoinist04/12 19:02

Bitwise Submits Second Amended Hyperliquid ETF Filing — Launch Imminent?

bitcoinist04/12 19:02

Bitcoin Capital Rotation Trend Shows Rare Signal For First Time This Bear Market

The Bitcoin price has slowed down after recent gains, slipping below $73,000. According to on-chain analyst Darkfost, a rare capital rotation trend is occurring for the first time this bear market. The Capital Rotation Net Position Change metric shows Bitcoin's realized cap hit a low of -$28.7 billion in late February, while stablecoin market cap increased by over $6 billion, indicating a flight to safety. Recently, Bitcoin's realized cap recovered to -$3 billion as stablecoin capitalization declined to -$1 billion, suggesting investors are gradually returning to risk assets like Bitcoin. This shift began during peak uncertainty around the Iran conflict, implying some investors may be using Bitcoin as a hedge against inflation and macroeconomic risks. Currently, Bitcoin is trading around $72,800, up over 8% for the week.

bitcoinist04/12 15:32

Bitcoin Capital Rotation Trend Shows Rare Signal For First Time This Bear Market

bitcoinist04/12 15:32

Ethereum Leads The Tokenization Race With Billions In Assets

Ethereum is leading the tokenization of real-world assets, hosting over $22.5 billion in tokenized treasury products—nearly 72% of the total market share. Major institutions like JPMorgan Chase, BlackRock, and Franklin Templeton are using Ethereum for institutional-grade products such as tokenized bonds and funds. The network is becoming the preferred infrastructure for autonomous agents and DeFi due to its predictable yields, deep liquidity, and reduced smart contract vulnerabilities. Additionally, firms like Broadridge and Galaxy Digital are advancing on-chain governance and institutional participation, signaling a shift toward a new financial layer built by established Wall Street entities rather than crypto-native startups.

bitcoinist04/12 14:01

Ethereum Leads The Tokenization Race With Billions In Assets

bitcoinist04/12 14:01

Crypto Market Structure Bill Enters Crucial Stage, Coinbase CEO Says “It’s Time”

The crypto market structure bill, specifically the CLARITY Act, is entering a crucial stage in the US legislative process. US legislators are set to return to Capitol Hill next week with the goal of passing the bill before the end of the month. The bill has been a major focus this year, though it has been stalled in the Senate Banking Committee due to debates over stablecoin rewards, tokenized equities, and other crypto-related issues. Treasury Secretary Scott Bessent published an op-ed in the Wall Street Journal, urging Congress to pass the CLARITY Act to maintain US leadership in financial market regulation. He emphasized the need for clear rules and adaptation to innovation. In a follow-up post on social media, he called for the Senate Banking Committee to send the bill to President Trump’s desk. Coinbase CEO Brian Armstrong endorsed the Treasury Secretary’s stance, expressing gratitude for bipartisan efforts and stating that it is time for the bill to pass. This marks a shift from his company’s earlier threat to withdraw support for the legislation "as written." A White House study found that stablecoin rewards, a primary concern, are unlikely to significantly impact bank lending or credit markets.

bitcoinist04/12 11:01

Crypto Market Structure Bill Enters Crucial Stage, Coinbase CEO Says “It’s Time”

bitcoinist04/12 11:01

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