Core Insights - The RealReal will release its financial results for Q2 2025 on August 7, 2025, after market close [1] - A conference call to discuss the financial results will take place at 2:00 p.m. Pacific Time [1] Company Overview - The RealReal is the largest online marketplace for authenticated resale luxury goods, boasting over 40 million members [2] - The company employs a rigorous authentication process with hundreds of in-house experts, including gemologists and brand authenticators [2] - The RealReal supports the circular economy by giving new life to luxury items across various categories, including fashion, jewelry, art, and home [2] - The company offers services such as free virtual appointments, in-home pickup, and direct shipping to facilitate the selling process for consignors [2]

Core Business & Strategy - Basecamp Research aims to digitize nature and unlock solutions evolved in biodiversity for humanity's benefit [5] - The company is building a bridge between biotechnology and biodiversity, addressing the data wall in biology [6][7] - Basecamp Research positions itself as a data company, utilizing AI models to interrogate and represent biological data [9] - The company's mission is to map global biodiversity, rivaling the Human Genome Project in scientific advancement [32][33] - Basecamp Research is scaling its database by 10x annually, presenting a significant engineering challenge [21] Data & Technology - The company converts biological material into data, processing hundreds of millions of CPU hours with billions of annotations [4][2] - Basecamp Research's data asset aims to represent the diversity in nature, enabling scaling laws in biology and transforming biotechnology [9] - The company collaborates with Microsoft and NVIDIA to scale models on large compute systems, combining data and model scaling expertise [14][26][28] - Basecamp Research leverages Azure and NVIDIA BioNeMo to optimize architectures for its unique data, training foundation models [25][26][27] Biodiversity & Impact - Costa Rica, covering 0.03% of Earth's surface, holds approximately 6% of the world's biodiversity, making it a key location for data collection [3] - Basecamp Research enhances capacity in bioeconomy locations by building labs, sharing data, and training scientists [37] - The company aims to pass revenue back to partner countries, demonstrating the value of biodiversity data [38]

[Applause] I can see your faces. It is possible for me to see that we all have a purpose. A purpose which brings all of us here.The makad as we call it. So right now it's a namaste from India. Asalamu alaikum Usbakistan.And when I say namaste to Usbakistan, I know that we teach things to people when they come. First time when Usuzbekistan was introduced to me and Tashkan was mentioned, I didn't know much about the country. So where would I go.People go not to Instagram to search because they know Instagram ...

Core Insights - Aether Holdings, through its subsidiary Alpha Edge Media, has acquired AltcoinInvesting.co to expand its digital asset content offerings and enhance its investor intelligence platform [1][2][3] Group 1: Acquisition Details - The acquisition of AltcoinInvesting.co represents Aether's strategic entry into the digital asset content vertical, complementing its existing financial newsletter platforms [2][5] - Alpha Edge Media aims to maintain AltcoinInvesting.co's brand identity while integrating its content into a broader multi-asset financial media platform [2][3] - The acquisition was completed as an all-cash transaction, including all operational assets, intellectual property, and subscriber base of AltcoinInvesting.co [5] Group 2: Market Context - There is a growing demand for credible and digestible insights into crypto and digital assets among both retail and institutional investors [3][4] - AltcoinInvesting.co has established a strong reputation for delivering actionable research on altcoins, decentralized finance (DeFi), and emerging blockchain ecosystems, making it a suitable addition to Alpha Edge Media's portfolio [4][5] Group 3: Strategic Vision - Aether Holdings aims to build a digital asset vertical with ambitions similar to those applied in traditional equity markets, focusing on high-quality media and technology integration [5][11] - The company is committed to redefining financial content creation and distribution by combining editorial excellence with fintech infrastructure [6][11]

Core Insights - The article discusses a significant vulnerability in large language models (LLMs) where they can be easily deceived by seemingly innocuous symbols and phrases, leading to false positive rewards in evaluation scenarios [2][13][34]. Group 1: Vulnerability of LLMs - A recent study reveals that LLMs can be tricked by simple tokens like colons and spaces, which should ideally be filtered out [4][22]. - The false positive rate (FPR) for various models is alarming, with GPT-4o showing a FPR of 35% for the symbol ":" and LLaMA3-70B having a FPR between 60%-90% for "Thought process:" [22][24]. - This vulnerability is not limited to English; it is cross-linguistic, affecting models regardless of the language used [23]. Group 2: Research Findings - The research involved testing multiple models, including specialized reward models and general LLMs, across various datasets and prompt formats to assess the prevalence of this "reward model deception" phenomenon [15][17]. - All tested models exhibited susceptibility to triggering false positive responses, indicating a systemic issue within LLMs [21][28]. Group 3: Proposed Solutions - To mitigate the impact of this vulnerability, researchers developed a new "judge" model called Master-RM, which significantly reduces the FPR to nearly zero by using an enhanced training dataset [29][31]. - The Master-RM model demonstrates robust performance across unseen datasets and deceptive attacks, validating its effectiveness as a general-purpose reward model [31][33]. Group 4: Implications for Future Research - The findings highlight the critical need for improved robustness in LLMs and suggest that reinforcement learning from human feedback (RLHF) requires more rigorous adversarial evaluations [35][36]. - The research team, comprising members from Tencent AI Lab, Princeton University, and the University of Virginia, emphasizes the importance of addressing these vulnerabilities in future studies [38][40].

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):How to compress ML models, clearly explained (with code): ...

Core Viewpoint - The article emphasizes the advantages of custom Application-Specific Integrated Circuits (ASICs) over off-the-shelf integrated circuits (ICs), highlighting how ASICs can provide differentiation, optimize power efficiency, and reduce costs in electronic system design [3][4][11]. Summary by Sections Off-the-Shelf ICs - Off-the-shelf ICs offer convenience for electronic system designers but limit differentiation in critical metrics such as power efficiency, functionality, and size [3]. - The use of evaluation boards based on standard ICs can lead to converging functionalities, making it challenging for designers to optimize for specific applications [3]. Custom ASICs - Custom ASICs allow for comprehensive system optimization, enabling significant improvements in data throughput and energy efficiency, particularly for applications like machine vision [5]. - ASICs provide a strong barrier against intellectual property theft, making reverse engineering more difficult compared to standard ICs [5][6]. Comparison Criteria - A comparison between standard ICs and mature-node ASICs reveals that ASICs offer high differentiation, optimized power efficiency, smaller bill of materials (BOM), and better supply chain stability [7]. - While standard ICs have lower upfront costs, ASICs incur higher non-recurring engineering (NRE) costs but lower per-unit costs at scale [7]. Design Flexibility - Custom ASICs do not need to encompass all design features, allowing for targeted enhancements that reduce manufacturing complexity and BOM size [8]. - The use of mature CMOS nodes (e.g., 180 nm and 130 nm) for ASICs meets performance needs without the high costs associated with advanced nodes [9]. Competitive Advantage - In a market where commercial chips erode profits and brand uniqueness, mature-node ASICs provide a transformative leverage point, allowing companies to focus on their critical intellectual property and achieve differentiation that off-the-shelf components cannot [11]. Strategic Questions - The article poses strategic questions regarding the unique functionalities that can be achieved through ASICs and the potential for risk and cost reduction by integrating discrete components into a single ASIC [16].

Core Insights - Sealing Technologies has developed the SN 9000, a new storage-focused server designed for combat operations, enhancing defensive cyber operations capabilities [1][2]. Product Features - The SN 9000 offers up to 2.7 Petabytes (2700TB) of storage capacity and supports 22 U.2 NVMe SSD drives, providing flexibility for demanding workloads [2]. - It is built to support diverse national security missions, capable of aggregating network data and functioning as a data platform for security information and event management, AI, and machine learning [4]. Operational Benefits - Increased storage capacity allows for longer deployment times without frequent data retrieval, reducing the need for on-site cyber protection teams and lowering operational costs [3]. - The system utilizes PCIe Gen 5 technology, enabling rapid adoption and faster connectivity for military operations [3]. Compliance and Design - The SN 9000 is rack-mounted and comes in a TSA-compliant case, ensuring functional use in various environments [4]. Company Background - Sealing Technologies, a subsidiary of Parsons Corporation, specializes in edge computing hardware and cybersecurity solutions, serving federal government and private enterprises [6].

[Music] Hi everyone. Very excited to be here and I'm Ahmed. This is Mazar.And uh today uh uh we're going to talk about our journey in leveraging large language models for personalization and ranking u and our path to production such a large model for uh for LinkedIn use cases. Oop uh recommendation ranking and personalization is deeply integrated our daily life. uh when you go to a feed to to read an article, when you're looking for a for a job, when you're searching for something, when you're buying someth ...

Group 1 - One Stop Systems, Inc. (OSS) shares increased by 10.5% to $5.6 in the last trading session, with a notable trading volume, and have gained 13.2% over the past four weeks [1] - The company is experiencing growing demand for its high-performance edge compute solutions, driven by advancements in AI, machine learning, autonomy, and sensor fusion [1] - The consensus EPS estimate for OSS is a quarterly loss of $0.05 per share, reflecting a year-over-year change of +44.4%, with expected revenues of $13.3 million, up 0.8% from the previous year [2] Group 2 - The consensus EPS estimate for OSS has remained unchanged over the last 30 days, indicating that stock price movements may not continue without trends in earnings estimate revisions [3] - OSS is ranked 3 (Hold) by Zacks, while Rockwell Automation (ROK), another company in the same industry, has a Zacks Rank of 2 (Buy) [3][4] - Rockwell Automation's consensus EPS estimate has changed by +0.3% to $2.68, representing a year-over-year change of -1.1% [4]