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Project Overview
NVIDIA Corporation (NVIDIA) is a technology company focused on accelerated computing innovation. With GPU (graphics processing unit) as its core technology, it promotes the revolution of artificial intelligence (AI), graphics rendering and high-performance computing (HPC). NVIDIA's ecosystem covers hardware (such as GPU, CPU), software platforms (such as CUDA, Omniverse) and cloud services, sustainable computing and digital twin technology.
UBS: Semiconductors Enter Differentiation Phase, AI Crowded Trade Continues
According to Chaoxiang Research, UBS released a SemiBytes Flash Note on July 20, 2026, judging that the semiconductor sector is transitioning from a broad-based rally to a phase of severe divergence, while the AI-themed crowded trade continues. The report covers five core topics. The release of Kimi K3 drives another upgrade in open-source model scale; longer context windows boost demand for HBM and storage, with NVIDIA being the biggest beneficiary. Micron's cumulative free cash flow over the next few years is expected to exceed $400 billion; after the buyback ban is lifted, the theoretical buyback ratio could exceed 40%, which is not yet fully priced in by the market. Divergence within the analog chip sector is intensifying; stocks with higher AI exposure have gained a 42x P/E premium, while valuations for stocks with automotive and industrial exposure remain near historical averages. Position crowding data shows that Lam Research, Broadcom, Seagate, Micron, and AMD remain in a state of extreme long positioning crowding.
AI startup CuspAI completes nearly $500 million financing round and announces establishment of AI Material Foundry Alliance
According to Bloomberg, UK startup CuspAI, founded just two years ago, has raised nearly $500 million, with its core bet being the use of artificial intelligence to improve semiconductor production processes. On Monday, CuspAI announced the establishment of the "AI Materials Foundry," an alliance that brings together more than 48 tech companies, industrial companies, and research institutions, with members including NVIDIA, Meta, and Hyundai Motor Group.
Goldman Sachs: Data Center Power Scramble Spurs 50GWh Energy Storage Growth, FLNC Secures Exclusive NVIDIA Deal
According to TechFlow Research, Goldman Sachs' July 16 energy storage report pointed out that electricity demand from data centers is surging, traditional grid expansion requires four to eight years, and energy storage has become the fastest solution with a 12 to 18-month deployment cycle. Goldman Sachs estimates that by 2030, behind-the-meter energy storage opportunities in the US will bring about 50GWh of increment, plus 11GWh from 800V DC data centers, total US energy storage deployment will reach 172GWh, significantly upwardly revised from the previous 112GWh. Globally, annual energy storage installations are expected to reach 2100GWh by 2040. Goldman Sachs believes energy storage is transitioning from renewable energy supporting equipment to a necessity for AI infrastructure, which will change the industry valuation logic. In terms of targets, FLNC (Buy) secured exclusive battery partner qualification for Nvidia DSX Vera Rubin, data center pipeline projects reached 12GW, up 30% sequentially; CATL (Buy) has about 30% global energy storage market share, already used in Shanghai SenseTime data center; Tesla (Neutral) 2025 energy storage deployment 46.7GWh, energy business 2028 estimated revenue 29 billion USD; Energy Vault (Neutral) received 6x EV/EBITDA valuation; LGES (Buy) North America ESS capacity expected to reach 50GWh by end of 2026. Canadian Solar, Ford, Samsung SDI, Shoals, Sungrow are also worth watching. Goldman Sachs emphasizes the need to distinguish those with real order support
AI infrastructure startup Fireworks AI completes $1.5 billion funding round, led by Index Ventures and others
AI infrastructure startup Fireworks AI has announced the completion of a $1.5 billion financing round, valuing the company at $17.5 billion. The company, previously backed by NVIDIA, primarily provides developers with cloud-based services for running open-source AI models, helping enterprises deploy AI applications at lower costs. This funding round was led by Atreides Management, Index Ventures, and TCV, with participation from NVIDIA, Evantic, and Lightspeed Venture Partners, among others. Currently, Fireworks processes approximately 40 trillion AI tokens daily. Its clients include companies such as Elastic, GitLab, and MongoDB. Previously, over half of its revenue came from the AI coding tool Cursor, but its client base has since become more diversified. (CNBC)
AI Wealth Distribution Sparks Controversy: Multiple U.S. Proposals Suggest Government Hold Equity in AI Companies
Odaily reports, as the value of the artificial intelligence industry rapidly increases, political and tech circles in the United States have begun discussing how to share the immense wealth generated by AI with the public. A series of proposals all point in the same direction: having the government or public institutions hold equity in AI companies.Recently, Sam Altman discussed the possibility of granting the U.S. government or other public entities partial ownership in OpenAI. Meanwhile, the U.S. government already holds approximately 10% of Intel's shares, and it has indicated it may receive a certain percentage of revenue from NVIDIA's chip sales to China.U.S. Senator Bernie Sanders proposed that major AI laboratories contribute half of their shares to a new sovereign wealth fund, allowing the public to share in the growth dividends of the AI industry.Observers suggest that these plans essentially aim to redistribute some of the economic benefits from AI development back to society. However, critics point out that most current proposals boil down to one model: having the government hold equity in AI companies.Supporters argue that AI could become the most significant productivity transformation in the coming decades, and involving the government in revenue distribution could alleviate wealth concentration. Opponents, however, worry that direct government ownership of stakes in tech companies could impact market competition, corporate governance, and innovation incentives.As the valuation of the AI industry continues to rise, how to distribute the economic benefits generated by artificial intelligence is becoming a core topic of debate among U.S. policymakers and the tech industry. (The Information)
Morgan Stanley: NVIDIA does not lack fundamentals, lacks incremental capital
According to TechFlow Research, Morgan Stanley's July 13 roadshow feedback report points out that Nvidia's current biggest problem is not fundamentals, but the market capitalization size leading to a lack of incremental capital. Quarterly growth is 95% and management believes growth will accelerate; next year's free cash flow yield will exceed 5%, with over half potentially returned to shareholders, so value investors may become the new buying force. Morgan Stanley also focuses on Nvidia's NeoCloud financing support model, providing credit endorsement for cloud service providers in exchange for revenue sharing, creating a recurring revenue stream with 100% gross margin beyond hardware. Morgan Stanley maintains an Overweight rating on Nvidia with a target price of $288.
Bitget US Stock Tokens (rToken) rJMKE Now Listed
According to the official announcement, to meet users' diversified investment needs, Bitget's US stock token rToken has listed rJMKE (Jersey Mike's Subs). As of now, the Bitget platform supports a total of 608 US stock tokens. It is reported that rTokens, identified by the letter r + stock ticker (e.g., NVIDIA as rNVDA), are issued by Bitget's licensed RWA protocol Reality, directly connecting to global liquidity pools such as Nasdaq and NYSE through cooperation with compliant broker Alpaca. Its features include: underlying assets 1:1 reserved and custodied by licensed custodians, stock dividends distributed 1:1 in token form, support for synchronized mapping of corporate actions (stock splits, etc.), and holdings can serve as joint margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
NVIDIA Employee Detained by Taiwan Prosecutors, Suspected of Assisting Smuggling of AI Chips to China
According to Bloomberg, Taiwanese prosecutors detained an NVIDIA employee and searched their company office, as part of the ongoing expansion of an investigation into the suspected smuggling of AI accelerators to China. This marks the first time government authorities have taken legal action against an NVIDIA employee. Previously, Taiwanese officials launched the first round of arrests in May, involving Super Micro Computer (Super Micro) employees, AI server distributors, and data center operators. Those arrested were accused of forging documents to evade U.S. export controls and illegally export NVIDIA AI chips to China.
Anthropic Supports FCA "Super Sandbox" Second Batch AI Experimental Projects
According to an official announcement by the FCA, Anthropic will provide access to its suite of Claude products (including Claude Code and Claude Cowork) for the second batch of participating enterprises in the UK Financial Conduct Authority (FCA) "Super Sandbox" to accelerate their AI development process. A total of 21 institutions were selected for the second batch, including Scottish Widows, Money Advice Trust, and TrueLayer, among others. The number of applications this time increased by 51% compared to the first batch, with a total of 199 applications received. Participating enterprises will test AI solutions focusing on the following areas: agent payment security, fraud and financial crime detection, AI governance and accountability, financial inclusion for vulnerable groups, and compliance and business automation. Additionally, the FCA simultaneously launched the "Agentic Academy"—a 10-week AI specialized training program co-hosted by the FCA and the Centre for Finance, Technology and Entrepreneurship (CFTE). Participating enterprises will continue to have access to NayaOne digital sandbox infrastructure and NVIDIA accelerated computing resource support.
UBS: Semiconductors Enter Differentiation Phase, AI Crowded Trade Continues
According to Chaoxiang Research, UBS released a SemiBytes Flash Note on July 20, 2026, judging that the semiconductor sector is transitioning from a broad-based rally to a phase of severe divergence, while the AI-themed crowded trade continues. The report covers five core topics. The release of Kimi K3 drives another upgrade in open-source model scale; longer context windows boost demand for HBM and storage, with NVIDIA being the biggest beneficiary. Micron's cumulative free cash flow over the next few years is expected to exceed $400 billion; after the buyback ban is lifted, the theoretical buyback ratio could exceed 40%, which is not yet fully priced in by the market. Divergence within the analog chip sector is intensifying; stocks with higher AI exposure have gained a 42x P/E premium, while valuations for stocks with automotive and industrial exposure remain near historical averages. Position crowding data shows that Lam Research, Broadcom, Seagate, Micron, and AMD remain in a state of extreme long positioning crowding.
Bitget Adds 16 US Stock Tokens (rToken) Including Kroger, Jabil Inc., and More
Bitget has listed 16 US stock tokens, including rXBI (S&P Biotech ETF-SPDR), rDIA (SPDR Dow Jones Industrial Average ETF Trust), rKSTR (SSE STAR 50 Index ETF), rJBL (Jabil Inc.), and rKR (Kroger), covering sectors such as finance, healthcare, information technology, and industrials. It is reported that rTokens, identified by the letter 'r' + stock ticker (e.g., NVIDIA as rNVDA), are issued by Reality, a licensed RWA protocol under Bitget. They directly connect to global liquidity pools such as Nasdaq and NYSE through cooperation with compliant broker Alpaca. Their features include: underlying assets 1:1 reserved and custodied by licensed custodians, stock dividends distributed 1:1 in token form, support for synchronous mapping of corporate actions (stock splits, etc.), and holdings can serve as combined margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Bitget Staking Borrowing Now Supports 39 Stock Tokens as Collateral
Odaily Odaily news, according to the official announcement, Bitget's Staking Borrowing section has newly added support for 39 stock tokens (rToken) as collateral assets. The newly listed targets include popular US stocks and ETFs such as rAMD, rSMH, rARM, and rSKHY, covering diverse categories including semiconductors, finance, healthcare, and energy.Users holding relevant stock tokens can now use them as collateral to borrow mainstream assets like USDT and USDC, unlocking liquidity without selling their holdings. The corresponding feature on the Web platform has been launched, with the App version expected to go live within this week. Specific collateral parameters and more details can be found on the Bitget official platform.It is reported that rTokens, identified by the letter r + stock ticker (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. By partnering with the compliant brokerage Alpaca, it connects directly to global liquidity pools such as Nasdaq and the NYSE. Its features include: 1:1 reserve of underlying assets held by a licensed custodian, stock dividends distributed 1:1 in token form, synchronized mapping of corporate actions (stock splits, reverse splits, etc.), and the ability to use holdings as combined margin for unified accounts and USDT-margined contracts, allowing users to manage funds flexibly while holding global stock assets.
"The Big Short" Michael Burry Latest Holdings Adjustment: Increases Short Positions on Micron, NVIDIA, and Semiconductor ETF, Adds to Lululemon and Other Stocks
"The Big Short" prototype Michael Burry disclosed his latest portfolio adjustments via his personal Substack account. On the short side, he further increased his short position on Micron Technology (MU), with an average entry price of approximately $880; continued to increase his short exposure to NVIDIA (NVDA), and added to his short position on the semiconductor ETF SOXX, with an average price of approximately $506, indicating that he maintains a generally cautious stance on the semiconductor sector overall.
Profit of $2.953 million, trader Beaumont closes short position on Micron and opens $29.417 million 2x short on NVIDIA
: According to monitoring by on-chain analyst Ai Yi, trader Beaumont's two addresses (0x9e8...816, 0x7fa...11b) closed and took profit on a total of $28.95 million in short positions on Micron over the past half hour, accumulating a profit of $2.953 million; subsequently, they opened a $29.417 million 2x short position on NVIDIA at an entry price of $193.15.
100% short positions: A Hyperliquid whale deposited 31.12 million USDC in 3 days and holds a $64.9 million short position
According to Onchain Lens monitoring, a Hyperliquid whale has deposited 31.12 million USDC into Hyperliquid over the past 3 days, currently holding a $64.9 million short position. The latest deposit was 5.12 million USDC. Current positions include a $43.93 million short on SKHX, a $17.07 million short on BRENTOIL, as well as other shorts on SMSN, HIMS, and NVIDIA. This wallet is currently 100% short.
A Hyperliquid whale holding $43.9 million in long-term short positions has deposited 16 million USDC into Hyperliquid in 24 hours
According to Onchain Lens monitoring, a Hyperliquid whale has just deposited 11 million USDC, bringing total deposits to 16 million over the past 24 hours. This wallet currently holds $43.9 million in short positions, which have been held for a long time, including $28.3 million in SKHX shorts, $14.56 million in BRENTOIL shorts, as well as other short positions in HIMS, SMSN, and NVIDIA.
Worth approximately $52 billion, Foxconn secures first manufacturing contract for SpaceX's next-generation AI server
According to a post on X by Citrini analyst jukan, Foxconn has secured the first contract to manufacture SpaceX's next-generation AI servers, which are powered by NVIDIA's GB300. This move breaks the duopoly of Dell and Supermicro. The project is reportedly valued at approximately $52 billion and has not been included in the company's existing revenue guidance, suggesting that Hon Hai's AI business momentum may be stronger than previously anticipated. Coupled with the strong performance of its subsidiary FII, market expectations for Hon Hai's second-half results have significantly risen.
Oracle's stock decline leads to Larry Ellison's assets dropping by $124.8 billion in one month
on the 14th local time that, according to Forbes, Oracle founder and chairman Larry Ellison's assets have decreased by $124.8 billion (approximately 186 trillion Korean won) in just over a month. On the 1st of last month, Oracle's stock price was $250 per share. Holding 40% of Oracle, Larry Ellison's total assets exceeded $300 billion, making him the world's second-richest person after Elon Musk. Recently, Oracle has faced continuous selling pressure. On the 13th, its stock price fell to $133 per share, its lowest level in 14 months. Larry Ellison's assets dropped to $175.2 billion, pushing his wealth ranking down to 8th place, below NVIDIA CEO Jensen Huang's $176.3 billion.Last year, Oracle signed a $300 billion contract with AI startup OpenAI and began building related infrastructure like data centers. Oracle has already invested $55.7 billion in AI data centers and announced an additional $70 billion investment. On the 9th, Standard & Poor's downgraded Oracle's credit rating from BBB to BBB-, a level just above junk bond status. (ETNews SW).
HIVE fiscal year revenue up 158% to $298 million, AI GPU hourly revenue approximately 24 times that of mining equipment
HIVE Executive Chairman Frank Holmes stated that the company's cluster of 504 NVIDIA B200 GPUs at Bell Canada's Manitoba AI fabric generates approximately $2.90 per GPU per hour in revenue; by comparison, HIVE's Bitcoin mining equipment generates approximately $0.12 per hour. HIVE's total revenue for fiscal year 2026 reached $298 million, up 158% year-over-year; digital currency revenue from Bitcoin mining grew 164%. During the same period, average hash rate stood at 22.2 EH/s, up 290% year-over-year, accounting for approximately 3% of the Bitcoin network's total hash rate, and the company mined 2,885 BTC. HIVE's BUZZ HPC division, which houses its AI and high-performance computing business, generated revenue of $19.5 million, up 94% from $10 million in the prior fiscal year. The company also signed GPU cloud agreements worth approximately $220 million with Bell and AI company Cohere, and raised $75 million through a note issuance to fund AI infrastructure expansion. HIVE is building a 320-megawatt AI data center in the Greater Toronto Area, with plans to eventually house more than 100,000 GPUs. The company stated that if the facility becomes fully operational in the second half of 2027, it could generate approximately $360 million in annualized recurring revenue.
Four.Meme supports bStocks US stock tokens as the token issuance liquidity pool, with NVDAb as the first batch available
Odaily News Four.Meme has announced the launch of the Stock Meme feature. Projects launching tokens on Four.Meme can now choose bStocks US stock tokens as the trading liquidity pool. The first batch supports NVDAb (NVIDIA), with more US stock assets to be added gradually.This feature is jointly launched by Four.Meme, bStocks, and Binance Wallet with the support of the BNB Chain ecosystem, making it one of the first officially supported US stock liquidity pools on BNB Chain. Four.Meme will collaborate with bStocks to provide liquidity support for each bStocks pool on the platform. Additionally, select Stock Meme projects may be featured in the Binance Wallet US Stock Meme section.
Bitget US Stock Tokens (rToken) rJMKE Now Listed
According to the official announcement, to meet users' diversified investment needs, Bitget's US stock token rToken has listed rJMKE (Jersey Mike's Subs). As of now, the Bitget platform supports a total of 608 US stock tokens. It is reported that rTokens, identified by the letter r + stock ticker (e.g., NVIDIA as rNVDA), are issued by Bitget's licensed RWA protocol Reality, directly connecting to global liquidity pools such as Nasdaq and NYSE through cooperation with compliant broker Alpaca. Its features include: underlying assets 1:1 reserved and custodied by licensed custodians, stock dividends distributed 1:1 in token form, support for synchronized mapping of corporate actions (stock splits, etc.), and holdings can serve as joint margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Morgan Stanley: AI Infrastructure ROIC Can Reach Up to 46%, Maintains Overweight Rating on Hyperscalers
According to TechFlow Research, Morgan Stanley released a research report on July 27, quantifying for the first time the Incremental Return on Invested Capital (ROIC) of Generative AI investments. The report constructed three estimation frameworks: the ROIC for hyperscale cloud service providers' GPU leasing business is approximately 31%, the ROIC for proprietary infrastructure model API business is approximately 46%, and the ROIC for third-party compute API business is approximately 25%. Under base case assumptions, a single 1 gigawatt (GW) data center is configured with approximately 410,000 NVIDIA GB300 GPUs, with a utilization rate of 75% and an hourly leasing price of $8.5. The combined capital expenditure of the three major cloud giants is expected to exceed $1.4 trillion. Morgan Stanley maintains an Overweight rating on Microsoft, Amazon, Meta, and Google. The report points out that as AI moves from the training phase to the inference phase, demand for GPU compute power will continue to grow. Providers with self-built compute infrastructure will achieve considerable profits by leveraging their pricing power in an ecosystem where compute is scarce. If Morgan Stanley's calculations hold true, the hundreds of billions of dollars in AI capital expenditure will shift from being perceived as "costs" to "growth assets".
Axe Compute Signs $1.5 Billion AI Infrastructure Contract, Cumulative Signed Contracts Exceed $3 Billion by 2026
Axe Compute announced the signing of a five-year dedicated AI infrastructure contract with a customer, totaling over $1.5 billion. Under the agreement, the company will deploy a cluster of approximately 9,200 NVIDIA Blackwell B300 GPUs in the United States to support production-grade AI workloads, including real-time inference and continuous fine-tuning.
Axe Compute Secures $1.5 Billion AI Infrastructure Customer Contract, Bringing Total Contract Value Signed in 2026 to Over $3 Billion
Axe Compute Inc. (Nasdaq: AGPU) today announced a new five-year contract with a customer valued at over $1.5 billion to deploy a large-scale dedicated AI infrastructure cluster in the United States based on the NVIDIA Blackwell architecture. Secured through Axe Compute's Build program, the contract will provide over 9,200 NVIDIA Blackwell B300 GPUs to construct a dedicated cluster designed, deployed, owned, and operated by Axe Compute.Combined with previously announced Build agreements, this new contract brings the total value of contracts signed by Axe Compute in 2026 to over $3 billion. Axe Compute expects to receive over $534 million in customer prepayments related to this agreement and previously announced contracts within the next 30 days. These payments are expected to cover most of the associated GPU and infrastructure capital expenditures.The Axe Build program is expected to start generating monthly revenue this quarter, with additional clusters becoming operational in the fourth quarter of 2026. It is anticipated that this agreement, along with previously announced contracts, will bring the annualized run rate to over $696 million after deployment is complete, nearly double the $385 million run rate the company reported earlier this month.It is reported that Axe Compute Inc. is an artificial intelligence infrastructure platform based on a new cloud architecture.
Related news
HIVE fiscal year revenue up 158% to $298 million, AI GPU hourly revenue approximately 24 times that of mining equipment
HIVE Executive Chairman Frank Holmes stated that the company's cluster of 504 NVIDIA B200 GPUs at Bell Canada's Manitoba AI fabric generates approximately $2.90 per GPU per hour in revenue; by comparison, HIVE's Bitcoin mining equipment generates approximately $0.12 per hour. HIVE's total revenue for fiscal year 2026 reached $298 million, up 158% year-over-year; digital currency revenue from Bitcoin mining grew 164%. During the same period, average hash rate stood at 22.2 EH/s, up 290% year-over-year, accounting for approximately 3% of the Bitcoin network's total hash rate, and the company mined 2,885 BTC. HIVE's BUZZ HPC division, which houses its AI and high-performance computing business, generated revenue of $19.5 million, up 94% from $10 million in the prior fiscal year. The company also signed GPU cloud agreements worth approximately $220 million with Bell and AI company Cohere, and raised $75 million through a note issuance to fund AI infrastructure expansion. HIVE is building a 320-megawatt AI data center in the Greater Toronto Area, with plans to eventually house more than 100,000 GPUs. The company stated that if the facility becomes fully operational in the second half of 2027, it could generate approximately $360 million in annualized recurring revenue.
"The Big Short" Michael Burry Latest Holdings Adjustment: Increases Short Positions on Micron, NVIDIA, and Semiconductor ETF, Adds to Lululemon and Other Stocks
"The Big Short" prototype Michael Burry disclosed his latest portfolio adjustments via his personal Substack account. On the short side, he further increased his short position on Micron Technology (MU), with an average entry price of approximately $880; continued to increase his short exposure to NVIDIA (NVDA), and added to his short position on the semiconductor ETF SOXX, with an average price of approximately $506, indicating that he maintains a generally cautious stance on the semiconductor sector overall.
Four.Meme supports bStocks US stock tokens as the token issuance liquidity pool, with NVDAb as the first batch available
Odaily News Four.Meme has announced the launch of the Stock Meme feature. Projects launching tokens on Four.Meme can now choose bStocks US stock tokens as the trading liquidity pool. The first batch supports NVDAb (NVIDIA), with more US stock assets to be added gradually.This feature is jointly launched by Four.Meme, bStocks, and Binance Wallet with the support of the BNB Chain ecosystem, making it one of the first officially supported US stock liquidity pools on BNB Chain. Four.Meme will collaborate with bStocks to provide liquidity support for each bStocks pool on the platform. Additionally, select Stock Meme projects may be featured in the Binance Wallet US Stock Meme section.
Bitget US Stock Tokens (rToken) rJMKE Now Listed
According to the official announcement, to meet users' diversified investment needs, Bitget's US stock token rToken has listed rJMKE (Jersey Mike's Subs). As of now, the Bitget platform supports a total of 608 US stock tokens. It is reported that rTokens, identified by the letter r + stock ticker (e.g., NVIDIA as rNVDA), are issued by Bitget's licensed RWA protocol Reality, directly connecting to global liquidity pools such as Nasdaq and NYSE through cooperation with compliant broker Alpaca. Its features include: underlying assets 1:1 reserved and custodied by licensed custodians, stock dividends distributed 1:1 in token form, support for synchronized mapping of corporate actions (stock splits, etc.), and holdings can serve as joint margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Dragonfly Partner: The current AI boom may not have emerged without the development of the crypto industry
Dragonfly Partner Haseeb posted on X platform, stating that the current AI boom might not have occurred without the development of the crypto industry. He noted that over the past decade, Bitcoin miners accumulated expertise in power acquisition, site selection, and large-scale infrastructure construction in remote areas, which has laid an important foundation for the expansion of AI data centers today. Additionally, the demand for crypto mining helped NVIDIA transition from a gaming GPU manufacturer to a supplier of AI computing chips.Furthermore, the core teams of several emerging AI cloud service providers, including CoreWeave, Crusoe, Together AI, and Nscale, all have backgrounds in the crypto industry.
Zuckerberg Slams Centralization of AI Power, Backs Open Approach to Counter Anthropic and OpenAI
According to The New York Times, Meta CEO Mark Zuckerberg publicly criticized the closed AI development route represented by Anthropic and OpenAI in an interview, stating that their strict control over AI technology will lead to a concentration of power, limit public access to this transformative technology, and is no different from "betraying American tech values." Zuckerberg stated that he is skeptical about the path of "building benevolent superintelligence through a single alignment mechanism" and advocates providing "personalized superintelligence" for everyone to adapt to different users' needs and values. He also pointed out that technological democratization has always been the trend in the history of the tech industry. It is worth noting that Meta's own AI strategy has also shifted recently—investing $14.3 billion in ScaleAI last spring and recruiting its founder Alexandr Wang, subsequently launching the first paid closed-source model Muse Spark, while continuing to maintain the open-source model line. This statement echoes NVIDIA CEO Jensen Huang's recent public strong support for open-source AI, with both sides forming a clear opposition to Anthropic and OpenAI in AI development philosophy.