Leonardo DiCaprio finally reveals why he likes to keep a low profile in public

nypostPubblicato 2025-12-08Pubblicato ultima volta 2025-12-08

Introduzione

Leonardo DiCaprio explains his preference for maintaining a low public profile, stating he avoids the spotlight to protect his personal life and maintain a sense of normalcy. He emphasizes the importance of privacy for his mental well-being and his ability to focus on his work and environmental activism without constant media scrutiny.

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Trading Volume Surges 10 Times in a Month, Who's Driving UNI's Soaring Price?

The article discusses the recent surge in the price of UNI, the governance token of Uniswap, which reached a high above $5.4 on August 31, marking a three-month increase of over 100%. The resurgence is attributed primarily to two key developments. First, Uniswap was designated as the primary Automated Market Maker (AMM) on the newly launched Robinhood Chain. Data shows Uniswap generated $4.29 million in fees in 24 hours on this chain and facilitated a tenfold increase in stock token trading volume over a month, reaching approximately $130 million daily. Second, a fundamental change in UNI's tokenomics, approved in December 2025, activated a "fee switch" mechanism. A portion of protocol fees is now directed to a "TokenJar" contract. Arbitrage bots can destroy an equivalent value of UNI tokens to claim these fees, creating a perpetual buy-and-burn pressure. This mechanism has led to the burning of over 110 million UNI tokens (worth $630 million), with recent daily burns exceeding $400,000 in value, nearly half contributed by activity on Robinhood Chain. The symbiotic relationship is highlighted: Uniswap gains a substantial new source of on-chain revenue to fuel its token deflation, while Robinhood Chain leverages Uniswap's deep liquidity and decentralized infrastructure for its stock token offerings. This integration represents a deeper convergence of traditional and decentralized finance.

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Trading Volume Surges 10 Times in a Month, Who's Driving UNI's Soaring Price?

marsbit13 min fa

Major Reshuffle in Foreign Trade Cities! Shenzhen Surpasses Shanghai, Suzhou Surpasses Beijing

A major reshuffle has occurred in China's foreign trade city rankings for the first seven months of 2026. Shenzhen has consolidated its position as the top city, significantly widening its lead over Shanghai. Notably, Shenzhen's import value surpassed Shanghai's for the first time historically. Suzhou overtook Beijing to become the third-ranked city, while Wuxi entered the top ten, replacing Qingdao which dropped out. Xi'an emerged as the biggest dark horse, with its foreign trade soaring by 100.4%. Nationally, import growth (22%) significantly outpaced export growth (14%), becoming the primary driver of overall trade expansion. This surge in imports, particularly of intermediate goods, signals a recovery in domestic demand and strengthens the foundation for future exports. Key cities leading the charge are those with strong foundations in semiconductors and AI hardware. Xi'an's explosive growth is powered by major memory chip manufacturers like Samsung and Micron. Suzhou's rise is driven by electronics and AI computing hardware exports. Shenzhen, Hefei, and Wuxi also benefited from their robust integrated circuit and electronics manufacturing industries. The overall trend shows manufacturing and export-oriented cities advancing rapidly in the rankings. However, 19 of the top 30 cities grew slower than the national average, indicating an uneven recovery.

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Major Reshuffle in Foreign Trade Cities! Shenzhen Surpasses Shanghai, Suzhou Surpasses Beijing

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Marvell: Can't Compare to NVIDIA, Can't Meet Expectations, Overvaluation Gets Squeezed First?

Marvell Technology (MRVL.O) reported its Q2 FY2027 earnings (ending July 2026) after market close on August 27. Key points include: The company raised its full-year revenue outlook for FY2027 to $12 billion (from $11.5B) and for FY2028 to $18 billion (from $16.5B). However, these upward revisions were only slightly above market expectations and significantly trailed NVIDIA's recent explosive guidance. The Data Center segment, accounting for 79% of revenue, grew 19% quarter-over-quarter to $2.17 billion, primarily driven by connectivity products. For FY2028, management forecasts over 60% growth for this segment, again below NVIDIA's >70% outlook. A major disappointment for investors was the lack of an upward revision to the Custom ASIC business guidance, despite Marvell's recent partnership agreement with Google. The market had anticipated potential gains from Google's TPU orders, but the maintained guidance for "over 100% growth" in FY2028 (with no specific target for FY2027) led to concerns that the Google deal may be a less favorable "framework agreement" where Marvell holds a weaker negotiating position. Adjusted gross margin was flat at 58.3%. Q3 revenue guidance is $3.15 billion, slightly above consensus. Overall, the report was largely in line with expectations, but the subsequent stock decline is attributed to growth forecasts that failed to meet heightened market expectations (particularly versus NVIDIA) and lingering uncertainty around the tangible benefits of the Google ASIC partnership. High valuation faces near-term pressure, but expectations for >50% growth in the coming years and long-term ASIC opportunity may provide support.

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Marvell: Can't Compare to NVIDIA, Can't Meet Expectations, Overvaluation Gets Squeezed First?

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US Stock Market Trend (August 31st): Kashkari's Hawkish Remarks Weigh on Chip Stocks, US-Iran Weekend Strikes Boost Oil Prices

U.S. stock markets ended lower on Friday following hawkish remarks from Federal Reserve Chair Wash at the Jackson Hole symposium, which sharply increased the probability of a September rate hike from 35% to nearly 60%. Major indexes fell: the S&P 500 dropped 0.25%, the Nasdaq declined 0.52%, and the Dow was essentially flat. This shift in interest rate expectations pressured rate-sensitive assets, leading to significant declines in chip stocks. The Philadelphia Semiconductor Index fell 3.47%, with Nvidia dropping 4.57%, erasing about half its post-earnings gains. Geopolitical tensions also escalated over the weekend as the U.S. and Iran exchanged military strikes, raising concerns over the security of oil transit through the Strait of Hormuz. This pushed oil prices up over 2% in early Asian trading on Monday, reintroducing a geopolitical risk premium. In other energy news, former President Trump announced a landmark 25-year oil deal with Venezuela, aiming to significantly increase the country's oil production. However, this long-term supply boost was overshadowed in the short term by the Middle East conflict and the dominant market focus on interest rates. The core market narrative for the coming week revolves around the interplay between re-priced hawkish rate expectations and escalating geopolitical risks. Key areas to watch include the trajectory of Treasury yields, the evolution of U.S.-Iran tensions and its impact on oil prices, and whether the sell-off in high-valuation tech and semiconductor stocks stabilizes or continues under the pressure of higher rates.

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US Stock Market Trend (August 31st): Kashkari's Hawkish Remarks Weigh on Chip Stocks, US-Iran Weekend Strikes Boost Oil Prices

marsbit1 h fa

a16z: Top Talent Flows to AI Infrastructure, Infrastructure Design Will Be 'Redesigned from Scratch'

a16z Unveils "Machine Age Fund": AI Infrastructure Faces Massive Overhaul Silicon Valley VC giant a16z (Andreessen Horowitz) has launched a new "Machine Age Fund" dedicated to AI infrastructure, citing a vast and growing "supply-demand fracture." Key takeaways: * **Unlimited Demand vs. Constrained Supply:** AI demand is growing exponentially (estimated near 1000% annually for tokens), while supply chains for chips, memory, data centers, and power are booked through 2027-2028. GPU prices are rising against historical trends. * **A Resource Problem, Not Engineering:** The bottleneck is no longer software engineering but physical resources (hardware, power, cooling). Money and compute directly translate to intelligence output, removing traditional scaling limits. * **Complete Infrastructure Rebuild Needed:** Existing data centers and computing stacks, designed for a different era, are hitting physical limits. Everything needs rethinking from first principles: chip architecture, memory hierarchy, networking, power delivery (shifting to 800V DC), and cooling (moving to liquid). * **Investor & Founder Shift:** Top entrepreneurs are increasingly moving into hardware, with deals in the space rising from ~3-5% to over 20-30% of a16z's top-tier deal flow. Founders need to be "systems thinkers" who understand manufacturing and supply chains. * **Massive Economic Scale:** Training a frontier model now costs $3-5B. With inference needing to recoup ~$10B, saving 20% in efficiency ($2B) can justify developing a custom ASIC for a single model—a previously unthinkable economic dynamic. * **Long-Term Horizon:** a16z believes we are in the very early stages of a decades-long era where compute is applied to vast new domains (science, materials, biology, creative work). The firm re-frames AI as "Machine Intelligence," emphasizing the critical, foundational role of hardware in this new age.

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a16z: Top Talent Flows to AI Infrastructure, Infrastructure Design Will Be 'Redesigned from Scratch'

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