Core Argument - The most valuable skill of the next decade is the intersection of technical skills and storytelling, not just technical expertise [1][2][3] - Standing at this intersection provides significant advantages [5] The "Slip Stream" Effect - Being in the "slip stream" (right place at the right time) allows for exponential growth with the same effort [11][13][15] - AI boom provided a "slip stream" opportunity [15] - Companies like Jio create slipstream opportunities for others [14] Overcoming the "Ostrich Effect" - The "ostrich effect" (ignoring new trends) hinders progress [16][17][18] - It's crucial to be curious and adapt to new technologies and trends [19] The Rise of No-Code Tools - No-code tools are becoming more prevalent, shifting the focus from building to selling [19][20][21][22] - Building is becoming easier, making distribution (content creation) more critical [21][22] The Importance of Distribution (Content) - Building great products is not enough; getting people to care is essential [23][24] - Content creation is crucial for distribution and making people care [22][38] Leveraging Asymmetrical Returns - Pursue asymmetrical returns (nonlinear returns) through activities like networking and content creation [30][31] - Content creation is a classic example of asymmetrical returns [31] Benefits of Content Creation - Content establishes credibility through the mere exposure effect [32] - Content accelerates feedback loops, enabling rapid learning and improvement [33] - Content provides unprecedented networking opportunities [34] Content Creation as a Lottery Ticket - Content creation should be viewed as a lottery ticket; consistency is key [35][36][37] - The probability of success increases with each piece of content created [36][37] The Future Landscape - As technology becomes more accessible, the ability to distribute that technology becomes the greatest advantage [37][38] - The key is to be at the intersection of building and storytelling [38]

Core Insights - Snap's stock has experienced a significant decline of 88% from its peak value, primarily due to privacy changes by Apple that affected its advertising effectiveness [2][5] - The company is showing signs of recovery, with improvements in its advertising technology and a growing user base [6][10] Group 1: Stock Performance - Snap's stock reached an all-time high of $83 in September 2021, representing a 388% gain from its IPO price of $17 [1] - Following the peak, Snap's stock has lost 88% of its value, indicating substantial volatility [2] Group 2: Advertising Challenges - Apple's privacy changes in 2021 required app developers to obtain user consent for tracking, which negatively impacted Snap's ability to sell targeted ads [4][5] - Meta Platforms adapted quickly to these changes, while Snap was slower but has made significant progress with a new machine learning-powered advertising engine [6] Group 3: Revenue Trends - Snap's annual revenue grew by 64% in 2021 but fell to 12% in 2022 and less than 1% in 2023 [8] - In 2024, Snap achieved record revenue of $5.4 billion, reflecting a growth rate of 16% [9] Group 4: User Engagement - As of the end of Q1 2025, Snapchat had 460 million daily active users, a 9% increase year over year, indicating strong user engagement [10] - The platform has gained approximately 140 million more daily users since the end of 2021, enhancing its attractiveness to advertisers [12] Group 5: Valuation and Investment Potential - Snap's current price-to-sales ratio is 2.8, near its lowest level since going public in 2017, suggesting a potentially undervalued stock [13] - If Snap successfully addresses its advertising challenges, it could lead to increased investor confidence and higher valuations in the future [15]

Core Viewpoint - The open-source project ZLUDA, which enables non-NVIDIA chips to run CUDA, has been revived after facing near bankruptcy due to the withdrawal of AMD's support. A mysterious organization has stepped in to provide assistance, allowing the project to continue its development and support for large model workloads [1][2][12]. Historical Development - ZLUDA was initiated by Andrzej Janik, who previously worked at Intel, aiming to allow CUDA programs to run on non-NVIDIA platforms [4][5]. - Initially, ZLUDA was taken over by Intel as an internal project to run CUDA programs on Intel GPUs, but it was soon terminated [6][9]. - In 2022, ZLUDA received support from AMD but was again halted in February 2024 after NVIDIA released CUDA 11.6, which restricted reverse engineering on non-NVIDIA platforms [10][11][12]. Recent Developments - In October 2024, Janik announced that ZLUDA had received support from a mysterious organization, focusing on machine learning and aiming to restore the project to its previous state by Q3 2025 [13][15]. - The project has added a new full-time developer, Violet, who has made significant improvements, particularly in supporting large language model workloads [17]. Technical Progress - ZLUDA is working on enabling 32-bit PhysX support, with community contributors identifying and fixing errors that may also affect 64-bit CUDA functionality [19]. - A test project named llm.c is being developed to run the GPT-2 model using CUDA, marking ZLUDA's first attempt to handle both standard CUDA functions and specialized libraries like cuBLAS [20][22]. - The team has made progress in supporting 16 out of 44 required functions for the test program, indicating a step closer to full functionality [25]. Accuracy and Logging Improvements - ZLUDA aims to run standard CUDA programs on non-NVIDIA GPUs while matching NVIDIA hardware as closely as possible. Recent efforts have focused on improving accuracy by implementing PTX "scan" tests to ensure correct results across all inputs [26][28]. - The logging system has been significantly upgraded to track previously invisible activities and internal behaviors, which is crucial for running any CUDA-based software on ZLUDA [31][33]. Runtime Compiler Compatibility - ZLUDA has addressed issues related to the dynamic compilation of device code necessary for compatibility with modern GPU frameworks. Recent changes in the ROCm/HIP ecosystem have led to unexpected errors, but the ZLUDA team has resolved these problems [34][36][38].

Core Insights - Snowflake (SNOW) and Microsoft (MSFT) are significant players in the growing cloud data platform market, with Snowflake offering a scalable data warehouse and Microsoft providing a suite of data services on Azure [1][2] Market Overview - The global cloud data platform market was valued at $22.78 billion in 2025 and is projected to reach $104.50 billion by 2033, reflecting a CAGR of 24.3% [2] Microsoft (MSFT) Analysis - Microsoft Cloud revenue reached $42.4 billion in Q3 of fiscal 2025, up 20% year over year, with Azure and other cloud services growing 33% year over year [3] - Nearly 60% of Fortune 500 companies use PostgreSQL on Azure, and Cosmos DB showed steady growth supported by major customers [5] - Microsoft’s Fabric, a unified analytics solution, served over 21,000 paid customers, up 80% year over year, with OneLake seeing data volumes increase more than six times compared to the prior year [6][10] - Microsoft is well-positioned to lead in cloud data infrastructure due to strong enterprise demand and an integrated platform [7] Snowflake (SNOW) Analysis - In Q1 of fiscal 2026, Snowflake's product revenues rose 26% year over year to $996.8 million, with a net revenue retention rate of 124% [8] - Snowflake's platform supports a unified data experience across storage, processing, governance, and AI, with offerings like Snowpark and the Native App Framework [9][11] - Snowflake is enhancing its platform for modern analytics and AI workloads, with partnerships and features that improve cost efficiency and performance [10][11] Price Performance and Valuation - Year-to-date, SNOW shares have increased by 43.5%, while MSFT shares have appreciated by 18.3% [12] - Snowflake trades at 14.94X forward 12-month Price/Sales, compared to Microsoft's 11.7X, indicating a higher valuation for Snowflake [15] Earnings Estimates - The Zacks Consensus Estimate for SNOW's fiscal 2026 earnings is $1.06 per share, indicating a 27.71% increase year over year [18] - The Zacks Consensus Estimate for MSFT's 2025 earnings is $13.36 per share, indicating a 13.22% increase year over year [19] Investment Outlook - Microsoft is viewed as a more attractive investment due to its broader product ecosystem and strong growth driven by Azure, while Snowflake faces near-term valuation concerns and competition [20][21]

Investment Rating - The report maintains a positive outlook on global defense spending, indicating potential growth opportunities for defense contractors through the remainder of the decade [3][7][57]. Core Insights - The report highlights a significant shift in defense spending priorities under President Trump's administration, focusing on bolstering security in the Indo-Pacific and reducing reliance on European security [6][56]. - NATO member countries have set a new defense spending target of 5% of GDP by 2035, with core defense spending rising from 2% to 3.5% of GDP, which could enhance NATO's defense capabilities if achieved [4][22]. - The report emphasizes the increasing importance of technological advancements, particularly in artificial intelligence and unmanned systems, which are expected to drive future defense investments [49][81]. Summary by Sections Global Defense Spending - The U.S. defense budget is projected to increase significantly, with a flat discretionary budget and $119 billion in mandatory spending allocated for fiscal 2026 [10][72]. - The U.S. is currently spending 3.4% of GDP on defense, with a notable increase in defense spending across NATO countries due to geopolitical tensions [28][29]. European Defense - European defense spending has increased by approximately 40% over the past two years, with Germany accounting for a significant portion of this growth [39]. - The EU's ReArm Europe program aims to unlock additional funding for defense, potentially adding €160 billion annually over the next four years [37][40]. Indo-Pacific Defense - Countries in the Indo-Pacific region are enhancing their defense capabilities in response to threats from China and North Korea, with increased cooperation among Western and Eastern allies [9][18]. - The report notes that while some nations have maintained spending levels, others are increasing their budgets to deter regional conflicts [18]. Technological Advancements - The report discusses the role of AI and machine learning in modernizing defense efforts, with a focus on enhancing decision-making and operational capabilities [81]. - The U.S. is investing in autonomous systems and cyber capabilities to improve defense readiness and counter adversarial threats [81][83]. Procurement and Spending Trends - The report anticipates a shift in defense procurement priorities, with an emphasis on attritable systems and advanced technologies to enhance military effectiveness [74][90]. - The U.S. Department of Defense is expected to allocate significant funding towards shipbuilding and missile defense initiatives, reflecting a strategic focus on maritime threats [86][92].

CLEVELAND, July 7, 2025 /PRNewswire/ -- As part of its ongoing commitment to innovation and digital transformation, KeyBank (NYSE: KEY) today announced the launch of KeyTotal AR™, a fully unified solution for the invoice-to-cash process, powered by Versapay. Leveraging machine learning, the platform modernizes and automates accounts receivable (AR) operations for middle-market businesses. This latest enhancement reinforces KeyBank's commitment to delivering market-leading, technology-driven solutions to cli ...

Core Insights - Freight Technologies, Inc. (Fr8Tech) has secured Reckitt Benckiser de México as a client, highlighting its ability to attract globally recognized companies in the logistics sector [1][2][3] - The partnership with Reckitt Benckiser is seen as a validation of Fr8Tech's platform and its value proposition within the logistics ecosystem [3] - Fr8Tech is focused on expanding its technology and network to enhance cross-border and domestic shipping capabilities in the USMCA region [3] Company Overview - Fr8Tech offers a diverse portfolio of technology-driven solutions aimed at optimizing and automating supply chain processes, utilizing AI and machine learning [4] - The company's solutions include Fr8App for B2B cross-border shipping, Fr8Now for less-than-truckload shipping, Fr8Fleet for enterprise clients, Waavely for ocean freight management, and Fleet Rocket as a Transportation Management System [4] - Each product is interconnected within a unified platform to improve operational efficiency through features like live pricing, real-time tracking, and digital freight marketplace [4]

Project Overview - The project involves building a mini-ChatGPT application [1] - The application is powered by DeepSeek-R1 and operates 100% locally [1] Resource Sharing - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) daily [1] - The author encourages readers to reshare the content with their network if they find it insightful [1]

Core Insights - The article discusses the author's academic and professional background in Machine Learning, Economics, and Finance, highlighting expertise in Data Science and Machine Learning applications within the banking and finance sectors [1]. Group 1: Academic Background - The author holds a PhD in Machine Learning with a focus on Economics and Finance [1]. - The author has academic affiliations with IESE Business School, ESADE Business School, and the Barcelona Supercomputing Center [1]. Group 2: Professional Experience - The author has worked at Deloitte Financial Advisory, specializing in Data Science and Machine Learning applications for clients in banking, insurance, and finance [1]. - The author currently teaches Asset Pricing and Introduction to Corporate Finance at ESADE Business School at the MSc/BSc level [1]. Group 3: Research Focus and Interests - Current research focuses on Generative AI in sustainable finance [1]. - The author's interests include machine learning and generative AI applications in finance and economics, with proficiency in Python, R, and SQL [1].

Industry Overview - The technology services industry is mature, with demand for services in good shape, and revenues, income, and cash flows are expected to gradually return to pre-pandemic levels, enabling stable dividends for most players [1] - The global shift toward digitization is creating opportunities in markets such as 5G, blockchain, and AI, with companies adopting generative AI, machine learning, and data science to gain competitive advantages [4] - The business software industry is benefiting from strong demand for multi-cloud-enabled software solutions as companies transition from legacy platforms to modern cloud-based infrastructure [4] Company Highlights AppLovin Corp. (APP) - AppLovin is a software-based platform for mobile app developers, enhancing marketing and monetization of apps [6] - The introduction of AI-powered AXON 2.0 technology and strategic expansion in gaming studios have significantly boosted revenue growth [7] - AppLovin's expected revenue and earnings growth rates for the current year are 16% and 84.8%, respectively, with a Zacks Consensus Estimate for current-year earnings improving by 0.1% in the last seven days [8] - The average short-term price target for AppLovin shares indicates a potential increase of 37% from the last closing price of $341.64, with a maximum upside of 90.3% [8] Duolingo Inc. (DUOL) - Duolingo operates as a mobile learning platform offering courses in 40 different languages and provides a digital language proficiency assessment exam [10] - The company utilizes AI applications to personalize and automate the learning process, with tools like Birdbrain analyzing real-time user performance [11] - Duolingo's expected revenue and earnings growth rates for the current year are 33.5% and 54.3%, respectively, with the Zacks Consensus Estimate for current-year earnings improving by 2.1% over the last 60 days [12] - The average short-term price target for Duolingo shares indicates a potential increase of 24% from the last closing price of $391.86, with a maximum upside of 53.1% [12]