Gro 4 just dropped and yes Elon was right. It is the smartest model in the world at least currently and it is a pretty significant leap from other Frontier models. So first let me walk you through the progression of the Gro series of models.This was a slide from last night's live stream. We can see Grock 2 which by the way was only like 2 years ago and we have it right here. It was just next token prediction.Here's the amount of compute. And with Grock 3, they 10xed their pre-training compute and it was a r ...

Core Points - V2X, Inc. will report its second quarter 2025 financial results on August 4, 2025, after market close [1] - A conference call with senior management will take place at 4:30 p.m. ET on the same day [1] - The company provides innovative solutions that integrate physical and digital environments, enhancing mission readiness and resource management [4] Financial Reporting - The second quarter 2025 financial results will be disclosed after market close on August 4, 2025 [1] - A live webcast and slide presentation will be available for investors [2] Conference Call Details - U.S. participants can dial 877-300-8521, while international participants can call 412-317-6026 to join the conference call [2] - A replay of the conference call will be available on the V2X website for one year and via telephonic replay until August 18, 2025 [3] Company Overview - V2X employs approximately 16,000 professionals and focuses on national security, defense, civilian, and international markets [4] - The company utilizes AI and machine learning to address challenges across various operational domains [4]

Problem Statement - The current software engineering workflow is inefficient, with too much time spent on troubleshooting production incidents [2][9] - Existing approaches to automated troubleshooting, such as AIOps and LLMs, have fundamental limitations [10][11][12][13][14][15][16][17][18] - Troubleshooting is becoming increasingly complex due to AI-generated code and increasingly complex systems [3][4] Solution: Traversal's Approach - Traversal combines causal machine learning (statistics), reasoning models (semantics), and a novel agentic control flow (swarms of agents) for autonomous troubleshooting [19][20][21][22][23][24] - Causal machine learning helps identify cause-and-effect relationships in data, addressing the issue of correlated failures [20][21] - Reasoning models provide semantic understanding of logs, metrics, and code [22] - Swarms of agents enable exhaustive search through telemetry data in an efficient way [23][24] Results and Impact - Traversal has achieved a 40% reduction in mean time to resolution (MTTR) for Digital Ocean, a cloud provider serving hundreds of thousands of customers [32][37] - Traversal AI orchestrates a swarm of expert AIs to sift through petabytes of observability data in parallel, providing users with the root cause of incidents within five minutes [39][40] - Traversal integrates with various observability tools, processing trillions of logs [45] Future Applications - The principles of exhaustive search and swarms of agents can be applied to other domains such as network observability and cybersecurity [47]

[Music] Have you ever wanted to learn about things happening in other countries. What if I told you that you can learn about anything without even leaving your house just using a device. Then let me tell you how computers can make you smarter.When I was younger, being on a computer was very new to me and a lot more fun than homework. Especially during co when all my classes were on a computer. Since we were always at home, I always trying to find a way to play on the computer without my parents knowing.Over ...

[Music] Please welcome to the stage Derek Block. [Applause] [Applause] For a number of years, I've had this sign greeting those that were interested. Reminant of an old school incentive to advertise why I became a professional educator.It reminds me each day as I enter the classroom of why I put energy into my craft. I know it's been seen by some and overlooked by many. It reads as follows.I teach because I learn differently and I feel that I can present information in an interactive way to help all student ...

Zeta shares how learning is more than school — it's a way to grow, explore, and connect. From riding a bike to cooking and helping friends, she shows that learning takes effort, but it's always worth it. I am Zeta Roussi, I am eleven years old, and I enjoy sports and traditional dances. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx ...

Core Insights - NextNRG, Inc. reported its sixth consecutive record month with a 231% year-over-year revenue growth in June 2025, indicating strong market demand for its AI-driven energy solutions [2][8] - The company is on track to achieve a $100 million revenue run-rate, bolstered by the pending acquisition of ReFuel Mobile in Canada, which is expected to close by August 1, 2025 [3][2] - NextNRG's operational efficiency and recurring revenue contracts are projected to lead to profitability in 2026, transitioning the company from a high-growth phase to a sustainable cash-generating enterprise [2] Financial Performance - June 2025 revenue reached $6.98 million, reflecting a 231% increase year-over-year and a 6% increase month-over-month [8] - Year-to-date revenue through June 2025 totaled approximately $35.87 million, a 33% increase compared to the full-year 2024 revenue of approximately $27 million [8] - The company delivered over 2.04 million gallons of fuel in June 2025, marking a 270% year-over-year increase and a 4% month-over-month increase [8] Strategic Initiatives - The acquisition of ReFuel Mobile, which has experienced a 1,166% revenue growth over three years, will enhance NextNRG's recurring revenue base and support international expansion [3] - NextNRG is expanding its fleet of fuel delivery trucks and operations across six U.S. states, with 144 active fuel delivery trucks [2][7] - The company is integrating sustainable energy solutions into its mobile fueling operations and plans to deploy its AI-powered microgrid systems and wireless EV charging products in key markets [2][6][7]

Core Insights - Scope Technologies Corp. has appointed Andrew Knight as Vice President of Product, bringing nearly two decades of experience from top-tier technology firms like Microsoft and Electronic Arts [1][2][3] Company Overview - Scope Technologies specializes in quantum security and machine learning, providing next-generation solutions in data security, quantum encryption, and neural networks [9] - The company’s flagship product is QSE, a quantum-resilient security platform designed to protect organizations against current and emerging cybersecurity threats [2][6] Leadership and Strategy - Andrew Knight will lead the growth and expansion of QSE, focusing on product strategy during a critical industry transformation [2][6] - The CEO of Scope Technologies emphasized the importance of Knight's leadership in aligning technology, operations, and strategic partnerships to evolve QSE's architecture [6] Product Development - Knight's role will include overseeing the development of QSE's features, ensuring its cryptographic and cloud-native infrastructure meets the demand for quantum-resilient solutions [6][7] - The company aims to deepen its market presence in quantum-proof technologies, reinforcing its commitment to delivering trusted products [7] Background of Andrew Knight - Knight has a distinguished career with experience in technical leadership and innovation, having previously worked at Microsoft and Electronic Arts [3][4][5] - His expertise includes aligning external partnerships with internal development processes, which will be crucial for Scope Technologies as it scales its business [5][6]

Core Insights - BullFrog AI Holdings, Inc. has launched the BullFrog Data Networks™ Solutions Library, an enterprise-wide solution aimed at transforming drug development for large biopharma organizations through AI and machine learning [1][6] Group 1: Product Overview - The BullFrog Data Networks™ Solutions Library is set to launch in late 2025 and is tailored for large-scale pharmaceutical, biotechnology, and life sciences organizations, providing secure infrastructure to extract insights from extensive biomedical datasets [2] - The platform is organized into specialized modules focusing on critical areas of drug discovery, such as target selection and clinical trial optimization, allowing clients to customize their decision support systems [2][6] - The solution is built on the bfLEAP™ causal AI engine, enhancing the ability to analyze complex biological data and streamline therapeutics development [1][10] Group 2: Technical Infrastructure - The library supports native deployment across major cloud platforms including Google Cloud Platform, Microsoft Azure, and Amazon Web Services, ensuring scalability, uptime, and data security [3] - This cloud-native architecture allows for rapid deployment and compliance with global data privacy standards, facilitating seamless data access and integration for R&D teams [4][5] Group 3: Market Position and Growth Potential - The BullFrog Data Networks Solutions Library aims to reduce R&D costs and failure rates for biopharma companies, positioning BullFrog AI as a leader in AI-driven drug discovery [6] - The global AI in drug discovery market is projected to reach $35.4 billion by 2034, growing at a CAGR of 29.6%, indicating a strong demand for scalable, data-driven solutions [8]

Core Insights - The article discusses the ongoing success of the Pang Donglai supermarket chain, which reported sales of 11.707 billion yuan in the first half of the year, with a daily revenue of approximately 64.68 million yuan, and a monthly sales figure of 1.68 billion yuan in June, indicating a strong potential to exceed 20 billion yuan in annual sales [1][2] - However, other listed supermarket companies attempting to emulate Pang Donglai's model are facing significant financial difficulties, with many reporting losses despite implementing similar strategies [2][4] Group 1: Company Performance - Pang Donglai's sales strategy focuses on exceptional service, strict quality control, and employee care, which has garnered consumer loyalty [1] - Other companies like Bubu Gao, Yonghui Supermarket, Zhongbai Group, and Jiajia Yue have attempted to adopt Pang Donglai's practices, including adjusting product structures, enhancing store layouts, and increasing employee compensation [2][4] - Despite these efforts, most of these companies are experiencing declining revenues and profits, with Yonghui Supermarket and Zhongbai Group reporting significant losses [4][12] Group 2: Financial Metrics - Yonghui Supermarket reported revenues of 67.574 billion yuan, a year-on-year decline of 14.07%, and a net loss of 1.465 billion yuan, which has worsened [4][12] - Bubu Gao achieved revenues of 3.431 billion yuan, an increase of 11.14%, and turned a profit of 1.212 billion yuan [4][12] - Jiajia Yue's revenue was 18.256 billion yuan, with a slight increase of 2.77%, but it reported a net profit of only 132 million yuan, down 3.26% [4][12] Group 3: Challenges Faced - The financial struggles of these companies are attributed to high renovation costs, which can exceed 8 million yuan per store, leading to significant cash flow pressures [6] - Many companies are experiencing a decline in gross profit margins, with an average around 20%, and cash reserves are dwindling, particularly for Yonghui Supermarket, which saw a 32.72% decrease in cash and equivalents [5][6] - Employee numbers have decreased across the board, indicating increased workloads for remaining staff, which may affect service quality [9] Group 4: Market Trends - The article highlights a systemic decline in the supermarket industry, with consumer behavior shifting towards e-commerce and specialized retail channels, making it difficult for traditional supermarkets to maintain profitability [10][13] - Despite significant investments in store renovations and employee compensation, these companies struggle to change consumer perceptions and replicate the unique customer experience offered by Pang Donglai [12][13] - The future of supermarkets lies not in imitation of Pang Donglai but in understanding their unique positioning and finding differentiated value propositions [13]