Grayscale通过新的Avalanche信托扩大投资组合

币界网Pubblicato 2024-08-22Pubblicato ultima volta 2024-08-22

币界网报道:

Grayscale Investments推出了一项专注于雪崩(AVAX)的新信托。该信托为合格投资者提供了参与雪崩的机会。

该信托现在对合格投资者的日常订阅开放,这意味着那些拥有正确证书的人可以通过灰度开始投资雪崩。

这家加密资产管理公司最近并不轻松,尤其是其旗舰比特币和以太坊信托。2024年,加密货币市场一直处于过山车状态,截至7月,比特币上涨了61%以上,达到67700美元以上。

以太坊也出现了上涨,同期上涨了近42%。尽管出现了这些上涨,但Grayscale的信托一直面临压力,特别是随着现货ETF的推出。

继早些时候推出比特币现货ETF之后,7月份批准了几只以太坊现货ETF。这些新的投资工具吸引了很多关注,导致Grayscale的以太坊信托大量外流。

在现货ETF上市后不久,该公司的以太坊信托净流出约12亿美元。

Grayscale的比特币信托(GBTC)也感受到了压力。比特币现货ETF的出现降低了GBTC对投资者的吸引力。

因此,资金持续外流,迫使Grayscale出售部分比特币资产以满足赎回要求。这一清算给比特币的价格带来了额外的压力,本月早些时候比特币价格甚至跌至5万美元以下。

虽然出现了短暂的复苏,例如GBTC股价自1月以来首次流入后短暂上涨2.4%,但整体情绪一直很谨慎。

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Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

The AI community is currently alarmed by widespread reports of significant performance degradation in two leading models. This article details a "mass self-testing frenzy" triggered by a mysterious prompt designed to detect a hidden "Juice" value, representing a model's reasoning compute budget. On OpenAI's side, users suspect a covert, limited test of a "GPT-5.6-sol" model is underway. When using a specific XML prompt on the Codex platform, a normal "gpt-5.5 xhigh" model reportedly returns a Juice value of 768. However, some users routed to the suspected GPT-5.6 test receive a drastically reduced value of 128—a six-fold decrease. This has sparked debate on whether it signifies a major efficiency leap or a "watered-down, low-cost version" achieved by slashing reasoning depth to save computational expenses. Simultaneously, Anthropic's Claude models, particularly the flagship Opus 4.8 Max, are facing intense user backlash for a perceived "physical brain cut." Users on platforms like Reddit report a dramatic decline in the model's once-impressive reasoning, with complaints of it becoming "absurdly" weakened, performing worse than older, lighter models like Haiku. Specific criticisms include: losing long-context memory, refusing to think deeply even in high-reasoning modes, providing instant incorrect answers, and engaging in unhelpful, argumentative, or "gaslighting" behavior where it contradicts users unnecessarily. The article speculates these "stealth downgrades" might be a calculated corporate strategy. Companies could initially release models with temporarily boosted compute to create an illusion of a major breakthrough, then silently scale back parameters later to manage unsustainable inference costs. A proposed underlying cause is a tightened funding environment, potentially exacerbated by SpaceX's massive IPO soaking up market liquidity, which could delay AI company IPOs and force cost-cutting measures like model "nerfing." The core issue highlighted is the asymmetry of information: subscribers pay for a service that can be silently and fundamentally altered without notification or explanation. The viral "Juice test" resonates because it represents users' desire for transparency about what they are actually paying for.

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Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

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Earning Six Figures and Still Struggling to Rent in San Francisco

A couple in San Francisco with a combined tech income over $360,000 struggled for months to find a one-bedroom apartment under $5,000 per month. Their story highlights how the AI wealth boom, driven by upcoming IPOs from companies like OpenAI and Anthropic, is dramatically escalating the city's cost of living. Even six-figure salaries are becoming insufficient for a comfortable lifestyle. The article details the financial reality for tech workers earning around $180,000 annually. After taxes, retirement contributions, and healthcare, take-home pay is roughly $7,000 per month. With average rents exceeding $3,800 and one-bedrooms often costing $4,500-$5,200, discretionary income shrinks to $1,500-$2,500. This contrasts sharply with reported median total compensations of $640,000 at OpenAI and $420,000 at Anthropic. The AI gold rush is identified as the primary driver. The scale of potential wealth from these IPOs, far surpassing previous tech booms, is flooding the housing market. Data shows San Francisco's average rent is now the highest in the U.S., with vacancy rates in desirable neighborhoods plummeting to around 3%. The overall cost of living is 65.6% above the national average. The piece features multiple professionals, including a 25-year-old with a $250,000 salary, facing housing instability, fierce competition for rentals, and a persistent, low-grade financial anxiety despite high earnings. It concludes that the rapid concentration of AI wealth is redefining what constitutes a "high salary" in San Francisco, pushing out mid-tier tech talent and creating a stark divide between those in the AI sector and everyone else.

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Earning Six Figures and Still Struggling to Rent in San Francisco

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