The ‘AI Gods’ Spending As Much As They Can On AI Tokens https://t.co/24WlnMWnqc ...

Will Base end up being the home for AI Tokens...?Venice Token on Base chain not a meme, it's a privacy AI platform, they run OpenSource AI models on their platform.Zero LoggingZero Censorship&& $VVV powers the API access for the platform itself.Why it's pumping• Runs open-source LLMs like DeepSeek R1 with ZERO logging• No censorship, no data collection, it is the anti-ChatGPT• Binance Alpha Spotlight, which is leading to if exchange listing speculation is real• Base chain = Coinbase ecosystem alignment• VVV ...

We with our agents hit $300 a day per agent using the uh Claude API like instantly and that was like doing maybe 10 or 20%. That's a h 100,000 a year per agent. We're getting to a place where we have to basically now say what is the token budget that we're willing to give our best devs. And then if you aggregate it across all people, you can clearly see a trend where you're like well hold on a second now they need to be at least 2x as productive as another employee.that is actively happening inside my busin ...

Market Overview - Bitcoin (BTC) reached its lowest price since November 2024, while the U.S. dollar index (DXY) broke out from its downtrend [1] - The CMC Crypto Fear and Greed Index fell to 15, indicating Extreme Fear, close to the lowest value since tracking began in June 2023 [1] - Altcoins experienced significant losses, with many reaching lows over short- and medium-term timeframes [1] AI Sector Performance - The AI sector faced one of its worst seven-day declines, erasing $2.7 billion from its market capitalization [2] - The sector is down 14.8% week-over-week (WoW) and 14.5% month-over-month (MoM) [2] - Most top AI tokens suffered major losses, including all of the top 10 and 80% of the top 100 by market cap [5] - The token "Story (IP)" was particularly affected, losing 36.1% WoW [5] Notable Tokens and Developments - Despite the downturn, a few AI tokens showed resilience and recorded impressive gains [5] - The AI sector was ranked middle-of-the-pack in terms of decline in fully diluted market capitalization (FDMC) [6] - Recent developments include the launch of ERC-8004 on Ethereum Mainnet, introducing a new standard for "trustless agents" aimed at enabling autonomous services to transact without centralized gatekeepers [7]

Promotion & Rewards - Sleepless AI Lab 分享价值 30 万美元的 AI 代币活动即将结束 [1] - 用户可以通过申购 BNB 到锁定产品和 AI 到灵活产品来参与活动 [1] Participation Instructions - 注册链接为 https://t.co/wlyTyOBjuG [1]

Core Insights - Broadcom is set to report its Q3FY'25 results, with investors keen to understand its growth trajectory following disappointing sales guidance from competitor Marvell in the custom silicon AI market [1] Company Overview - Broadcom is a leading designer and supplier of a wide range of semiconductor, networking, enterprise software, and security solutions, serving critical markets such as cloud, data center, and enterprise software [2] Financial Performance - In FY'24, Broadcom achieved a record $51.6 billion in sales, marking a 44% annual growth, with infrastructure software revenue reaching $21.5 billion due to successful VMware integration [3] - Semiconductor revenue also hit a record $30.1 billion, driven by AI revenue of $12.2 billion, which grew 220% year-on-year [3] Revenue Drivers - The Tomahawk 6 Ethernet switch and Jericho4 Ethernet fabric router are key products driving revenue growth by enabling large-scale AI cluster networking [4] - Broadcom's AI networking segment is the largest contributor to AI-related growth, with networking revenue increasing by 170% year-over-year, accounting for 40% of AI revenue in Q2 2025 [6] Growth Areas in AI - Key areas of growth for Broadcom amid the AI buildout include: - AI networking - Custom AI silicon/accelerators (XPUs) - Ethernet/Open networking - VMware-driven infrastructure software - Hyperscaler/cloud partnerships [5] Custom AI Silicon and Accelerators - Broadcom's custom silicon solutions, including AI accelerators and XPUs, are critical as hyperscalers seek differentiated compute capabilities for AI workloads, with expected demand acceleration into late 2026 [7] Infrastructure Software - The acquisition of VMware has positioned Broadcom's infrastructure software segment as a significant growth pillar, with VMware Cloud Foundation and enterprise adoption being key focus areas [10] Customer Base - Major cloud players like Google, Meta, Microsoft, and Amazon are central customers for Broadcom's networking and infrastructure software, with a focus on expanding content and wallet share within these accounts [11] Q3 Expectations - Broadcom reported record revenues of $15 billion in Q2, with AI revenue growing 46% year-over-year to over $4.4 billion, and expects AI semiconductor revenue to accelerate to $5.1 billion in Q3 [12][14]

AI & Crypto Convergence - Crypto aims to have a say in the race to control AI [1] - AI tokens doubled while other assets crashed, indicating a potential shift in investment focus [1] - Crypto's capital coordination could reshape AI ownership [1] Decentralized vs Centralized AI - $300 billion went to centralized AI versus $1 billion to decentralized AI, highlighting a significant funding disparity [1] - The industry explores how one developer could code the next billion-dollar AI company, potentially disrupting the centralized dominance [1] AI Applications & Challenges - Teenagers are using ChatGPT as their therapist, raising ethical and societal concerns [1] - The industry discusses AI crypto company challenges [1] Future Trends - The report considers the case for staking against AGI (Artificial General Intelligence) [1] - The discussion includes the potential for an onchain IPO era [1] - New models for AI founders are being explored [1]

Investment Rating - The industry rating is "Overweight" indicating that the industry stock index is expected to outperform the benchmark [6]. Core Insights - The report highlights the emergence of an open interconnected ecosystem led by the deployment of AI at the edge, which is expected to accelerate productivity transformation in AI [1]. - The introduction of the NVLink Fusion platform allows integration with third-party CPUs and AI chips, signaling a shift towards an open ecosystem and potentially increasing NVIDIA's market share in data centers [3]. - The establishment of AI factories, which are essential for producing AI tokens, is seen as a significant infrastructure development, with NVIDIA collaborating with major companies to enhance AI capabilities [2]. Summary by Sections Section 1: AI Deployment and Ecosystem - NVIDIA's CEO emphasized the importance of AI infrastructure in driving an industrial revolution, with new products like DGX Spark and RTX PRO servers catering to both individual developers and enterprise clients [1][4]. - The collaboration with Foxconn and TSMC to build an AI supercomputer in Taiwan, equipped with 10,000 Blackwell chips, showcases NVIDIA's commitment to expanding its AI infrastructure [1]. Section 2: AI Factory and Tokens - The concept of AI Factory is introduced as a smart factory for producing AI tokens, which are models that generate ongoing value through inference services [2]. - The report suggests that companies with efficient AI factories will possess future "digital productivity," marking a significant productivity transformation driven by AI [2]. Section 3: Product Launches - The DGX Spark, set to launch in July 2025, will offer 1 Petaflop of AI computing power and 128GB of unified memory, while the DGX Station will provide 20 Petaflops and 784GB of memory [4]. - The RTX PRO server will support up to eight RTX PRO 6000 Blackwell GPUs, enhancing enterprise-level AI workloads [4]. Section 4: Robotics and AI Models - NVIDIA updated its open-source platform for humanoid robots, Isaac GR00T N1.5, which can generate synthetic motion data for training robots [5]. - The AI-Q Blueprint connects enterprise data with inference systems, significantly speeding up data retrieval on NVIDIA GPUs [5].