SUI 市值超过 LTC，市值进入前 20 位

marsbitPublished on 2024-09-30Last updated on 2024-10-01

火星财经消息，据 CoinMarketCap 数据，当前 SUI 报价1.9美元，过去24小时涨幅达9%，过去一个月涨幅高达143%，市值为 52.5 亿美元，超过 LTC 的 51.1 亿美元，跻身市值前 20 行列。

Large Language Models Ace All Exams, Yet Move Farther from AGI: What Does This Paper Reveal?

The article discusses the ongoing challenge of defining and achieving Artificial General Intelligence (AGI). It notes that industry leaders have set vague, often profit- or time-based benchmarks for AGI, while the concept itself lacks a consensus definition—a situation the article compares to a "Rorschach test." It highlights a recent 2025 paper by researcher Michael Timothy Bennett, who proposes a new, measurable definition. Bennett frames AGI not as mimicking human performance on tests, which current large language models (LLMs) have already mastered, but as an "artificial scientist." A true AGI, according to this view, should be able to widely and efficiently adapt to new environments and tasks within real-world constraints (like computational and energy limits), focusing on the *discovery of new knowledge* rather than the replication of existing data. The author contrasts this with the current dominant approach of "scale-maxing"—massively scaling up data, parameters, and compute. While powerful, this method leads to models that fail on out-of-distribution problems and lack core intelligent abilities: they are passive learners, cannot reason causally, and cannot actively experiment or balance exploration with exploitation. The article argues that Bennett's framework offers a crucial shift. It makes AGI a quantifiable engineering problem and proposes new evaluation "adaptation benchmarks" that test an AI's ability to actively learn in novel scenarios. The conclusion is that achieving AGI will require a fundamental reset—a fusion of multiple methodologies beyond simple scaling, moving AI from mimicking patterns to embodying the scientific spirit of inquiry and discovery.

marsbit14m ago

Large Language Models Ace All Exams, Yet Move Farther from AGI: What Does This Paper Reveal?

marsbit14m ago

Pope Issues First AI Encyclical: 40,000 Words, 10 Key Points, Clarifying AI Anxiety

Pope Leo XIV's historic encyclical "Magnifica Humanitas," released in May 2026, marks the Catholic Church's first major document addressing artificial intelligence. The 40,000-word text moves beyond theological abstraction to confront practical AI anxieties affecting society. It argues that AI is no longer a mere tool but an embedded environment influencing daily decisions in areas like employment, healthcare, justice, and information, often without users' awareness. The encyclical presents ten core concerns. It highlights that the central issue isn't just regulation, but who holds the underlying *power*—control over data, compute, and platforms—often concentrated in private entities. It warns that even developers cannot fully explain AI systems, creating accountability gaps. While AI can simulate human interaction and creativity, it cautions against treating it as a moral agent capable of bearing true responsibility or forming genuine relationships. Key risks identified include AI's role in opaque decision-making for jobs or welfare, the amplification of persuasive disinformation, and the potential for education to focus on tool use over critical thinking. The document stresses that work has value beyond efficiency, and AI should enhance human capabilities, not merely replace roles. It firmly states that irreversible decisions, especially involving life and death, must remain under human judgment. Ultimately, the encyclical frames AI's challenge as anthropological, not just technological. As AI simulates uniquely human capacities like judgment and creation, it forces a re-examination of what makes human action meaningful: our capacity for responsibility, vulnerability, and bearing real consequences. The Pope concludes that technology is never neutral; its development and deployment are shaped by human values and choices, making an inclusive, ethically grounded dialogue essential for its future.

marsbit19m ago

Pope Issues First AI Encyclical: 40,000 Words, 10 Key Points, Clarifying AI Anxiety

marsbit19m ago

Major Bitcoin Players Drop Over A Billion In Sell-Offs While Euphoria Rocks Retail

Major Bitcoin holders engaged in significant sell-offs while retail sentiment remained bullish. BlackRock's iShares Bitcoin Trust (IBIT) saw over $1 billion in outflows across consecutive trading days, with its total holdings dropping from a peak near $75.5 billion in mid-May to below $67 billion by May 26. Simultaneously, a Satoshi-era miner moved 2,650 BTC (worth ~$203 million) to over-the-counter desks. Despite this substantial selling pressure from large wallets, Bitcoin's price held above $76,000, supported by apparent retail demand and "dip-buying" sentiment on social media, highlighting a current market divide between institutional actions and retail investor behavior.

bitcoinist3h ago

Major Bitcoin Players Drop Over A Billion In Sell-Offs While Euphoria Rocks Retail

bitcoinist3h ago

Bitcoin Vs. The S&P: How The Stock Market Predicts The BTC Bottom Before the Rally

Analyst Chain Mind correlates Bitcoin's bottom with the S&P 500's performance, noting BTC has historically not bottomed before the stock market. With the S&P 500 still reaching new all-time highs without a significant retrace, Chain Mind argues Bitcoin's final low is likely not yet in. He suggests the S&P is showing classic topping signals, implying a market dump is imminent, which would precede a BTC bottom. Further analysis points to Bitcoin potentially forming a Head-and-Shoulders topping pattern on charts. Analyst Colin notes a break below the pattern's neckline could target $65,000 or lower. Chain Mind also observes a weekly Head-and-Shoulders, expecting a dump to mark a final bottom around $50,000. Currently, Bitcoin trades around $75,500, down over 24 hours.

bitcoinist5h ago

Bitcoin Vs. The S&P: How The Stock Market Predicts The BTC Bottom Before the Rally

bitcoinist5h ago

Mystery Bitcoin Whale Dumps $1.3B In BlackRock’s IBIT As Market Barely Blinks

An unidentified entity sold approximately $1.3 billion worth of shares in BlackRock's spot Bitcoin ETF, IBIT, in a large dark pool block trade on Tuesday morning. ETF analysts, including Galaxy's Alex Thorn and Bloomberg's Eric Balchunas, confirmed the unprecedented 29-million-share transaction. Notably, the market absorbed the massive sale with minimal price disruption to IBIT. This sale occurs amid a broader trend of significant outflows from US spot Bitcoin ETFs. Recent weeks have seen over $2.5 billion in net outflows, with IBIT itself accounting for $1.008 billion in outflows during the May 18–22 period. Analysts suggest the sustained selling pressure, despite the market's resilience, may indicate institutional skittishness in a rising inflation and interest rate environment. At the time of reporting, Bitcoin was trading around $75,730.

bitcoinist7h ago

Mystery Bitcoin Whale Dumps $1.3B In BlackRock’s IBIT As Market Barely Blinks

bitcoinist7h ago

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8.6k Total ViewsPublished 2024.03.29Updated 2025.03.21

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