In a striking turn of events, a spyware investigator has uncovered a group of suspected Russian government hackers attempting to infiltrate Signal accounts. This security researcher, known for exposing spyware attacks, managed to reverse the situation, shedding light on the hackers' espionage campaign. This revelation underscores the ongoing threat of cyber espionage and the critical need for robust security measures.

Khosla Ventures is making a bold move by investing $10 million in Ian Crosby, a founder whose first startup, Bench, faced significant challenges. Now, Crosby is channeling that experience into Synthetic, an innovative AI-driven bookkeeping service designed to support startups. This venture aims to simplify financial management through automation, empowering entrepreneurs to focus on growth rather than administrative burdens. For further insights into the evolving tech landscape, check out our article on Cerebras's impressive IPO performance.

The trillion-dollar agentic workflow opportunity is reshaping how we approach productivity and data management. As AI-native technologies evolve, they offer unprecedented potential for businesses to streamline operations and enhance decision-making. This transformative shift invites users to explore innovative solutions that simplify complex tasks and empower their workflows. For a deeper understanding of this emerging landscape, check out our article, "I Let CodeSpeak Take Over My Repository," where we delve into the practical implications of migrating to an AI-native workflow.

In "Scaling Social Systems in Software Organizations," Ben Linders explores the vital importance of rebuilding trust and psychological safety as teams expand rapidly. He emphasizes the need for intentional, redundant communication across various formats to maintain alignment. Strategies such as cross-team rituals, buddy systems, and rotating facilitators are effective in breaking down silos and fostering collaboration. Leaders play a crucial role by modeling the vulnerability necessary for open dialogue.

Congratulations on your new role as a Finance Business Partner! It sounds like you’re stepping into an exciting opportunity to transform outdated practices. The issues with oversized Excel files and slow data refreshes are common in many organizations. To tackle this, consider starting with Power Query to filter your data extraction from Sage X3, focusing on relevant fields and date ranges. Additionally, exploring Power Pivot and Power BI can streamline your reporting processes.

When opening a new window for your document, encountering zeros in blank cells can be frustrating. While you can easily disable the option to display zeros in each sheet, it can be tedious to do this repeatedly. Unfortunately, there isn't a built-in feature to open a new window without the zero option enabled across all sheets. For additional insights into managing complex Excel tasks, consider exploring our article on "formula for counting how many different numbers are in a cell, separated by commas?

Anthropic's recent postmortem reveals that six weeks of code quality complaints regarding Claude can be traced back to three overlapping product changes: a downgrade in reasoning efforts, a caching bug that compromised the model's own logic, and a verbosity limit in system prompts that resulted in a 3% drop in quality. Importantly, the API and model weights remained unaffected, and all identified issues were resolved by April 20.

In the evolving landscape of AI, Campbell Brown, former Meta news chief, highlights a critical divide: while Silicon Valley grapples with the intricacies of AI development, consumers engage in a distinctly different discussion about its implications. This disconnect raises important questions about who truly dictates the narratives and functionalities of AI systems. For those seeking deeper insights into the complexities of technology and user experience, our article "Scaling Social Systems in Software Organizations" explores how trust and communication shape the future of software interactions.

Kubernetes v1.36, released in 2026, marks a significant step forward with 70 enhancements focusing on security, AI workload support, and API scalability. This version tightens security defaults while introducing key features, including User Namespaces, Mutating Admission Policies, and Fine-Grained Kubelet API Authorization, all transitioning to General Availability. Additionally, it enhances workload management and incorporates new capabilities for AI resource allocations.

OpenAI's recent move to establish a deployment company, backed by a $4 billion investment and 19 partner organizations, underscores a significant gap in AI integration within enterprises. By embedding "Forward Deployed Engineers" into organizations, OpenAI aims to bridge the divide between model capability and practical application, reminiscent of Palantir's strategy. While over a million enterprises have adopted OpenAI products, true deployment remains challenging.

Hi everyone, I’ve been part of the Tendering and Procurement team for six years, yet I often find myself relying on basic Excel skills. I’m curious about how Excel has contributed to your success in your professions and what steps you took to advance from a fundamental level to your current expertise. I believe enhancing my Excel skills could unlock new opportunities in my career. If you have insights or experiences to share, I would greatly appreciate your honest feedback.

If you're seeking a formula to count distinct numbers within a single cell separated by commas, you're not alone. Many Excel users encounter this challenge. For instance, if a cell contains "24, 25, 26," the desired outcome is 3; for "42," it's 1; and for an empty cell, the result should be 0. While this specific formula may not be straightforward, exploring creative solutions can lead to effective results.

In today's tech-driven landscape, writing robust code is essential for maximizing the potential of Claude Code. This guide will explore key strategies to enhance your coding practices, ensuring that your outputs are not only efficient but also reliable. By focusing on clarity and structure, you can transform your coding experience and empower your projects. For those looking to deepen their understanding of spreadsheet functionalities, check out our article on counting unique numbers in a cell, which illustrates how precision can enhance your data management skills.

Curious about the best approach for GPU usage in model finetuning and training? You're not alone. Many practitioners grapple with the choice between investing in personal GPUs or renting compute resources. While renting can provide flexibility, it often comes with frustrations, like unexpected errors and costs. Setting up your own environment can be daunting, as you’ve experienced with issues like CUDA errors. For a more integrated solution with transparent pricing, consider exploring our related article on "Kubernetes v1.36," which discusses advancements in AI workload support.

In the rapidly evolving field of machine learning, the standards for research papers are continuously rising. Many experts believe that a paper accepted between 2000 and 2021 would struggle to gain approval today, as the expectations surrounding evaluation, rigor, and originality have intensified. This raises an intriguing question: has the bar truly been raised, or is the landscape simply more competitive? To explore these dynamics further, consider our related article, "Kubernetes v1.

Understanding modern AI architectures can be daunting, especially within the expansive Hugging Face ecosystem. With intricate config files, layer definitions, and model cards, developers often find it challenging to visualize how these models are structured internally. This post provides a straightforward guide on how to instantly visualize any AI model architecture in Hugging Face, empowering you to grasp the complexities of these systems more effectively.

Hi Reddit! I'm tackling a challenging project focused on predicting failures in approximately 33,000 chargers, which operate at two distinct data emission rates based on their state. With only 1% failure rates at 30 days, defining "normal" behavior is complex due to significant variance among devices. I'm considering solutions ranging from separate RNN encoders for each operational mode to windowing techniques. I'd love to hear your insights on effectively addressing this type of time series issue, especially at sub-2% positive rates.

Professors are increasingly noticing significant issues within the college landscape, prompting discussions about the challenges students face today. As educators strive to enhance the academic experience, it's essential to understand these dynamics and explore effective solutions. This article delves into the concerns raised by faculty members, highlighting areas that require attention and innovation. For those interested in funding opportunities for research, check out our piece, "How to find to 'collaborate' with Professors to get funding for my research papers?" to uncover valuable insights.

OpenAI's new API voice models are set to transform how users interact with AI, making daily tasks more intuitive and efficient. While many still rely on traditional keyboard prompts, advanced users are now finding that speaking to AI enhances their productivity and streamlines workflows. This shift not only signifies a leap in technology but also invites everyone to explore a more natural approach to data management.

In a recent breakthrough, Pinterest engineers tackled CPU starvation issues that hindered machine learning training jobs on their Kubernetes platform, PinCompute. By identifying an unused Amazon ECS agent as the culprit behind memory cgroup leaks, they successfully stabilized performance by disabling the agent. This case underscores the significance of understanding system defaults for effective troubleshooting. For further insights on optimizing software systems, explore our article, "Scaling Social Systems in Software Organizations," which delves into the importance of trust and collaboration in fast-growing teams.

If you're managing a spreadsheet with thousands of vehicles and VIN numbers, ensuring accuracy is crucial. To highlight cells where the character count is below or above the required 17 characters, you can use conditional formatting based on text length. Unfortunately, traditional conditional formatting options may not directly address character counts. However, with a little creativity in your formulas, you can easily flag incorrect entries. For further insights on simplifying complex tasks, check out our article, “Job has me doing a needlessly complicated task.”

Experiencing stock prices that stop updating can be frustrating, especially when you're relying on timely data for decision-making. As highlighted by a recent post, users have faced similar issues for years, often attributing them to server problems. If you're feeling the impact of outdated stock prices, you're certainly not alone. Exploring solutions to enhance your stock tracking experience is essential.

Navigating the complexities of AI in our workflows can often feel overwhelming, especially when it starts to impact our cognitive capacity. In "Your AI Use Is Breaking My Brain," the author explores how reliance on AI tools can lead to cognitive overload, turning us into managers of digital interns rather than creators. While AI can enhance productivity, it comes with hidden costs that deserve our attention.

In our pursuit of streamlined work order planning, we’ve developed a tool that integrates data from our ERP system, combining Power Query and XLOOKUP for comprehensive analysis. However, we’ve encountered challenges when applying filters to these data sections, which can disrupt our notes column and lead to confusion. To overcome this, we’re exploring solutions to treat each row as a unified item, potentially by creating a separate sheet that consolidates all information.

If you’re looking to remove the "Dividend" portion from a cell while retaining its value as a true number, you're not alone. Many users face similar challenges when trying to manipulate cell content for calculations. Simply deleting the text can yield a valid number, but using formulas sometimes leads to unintended results. Explore this common issue and discover practical solutions, including how to effectively utilize the "Find & Replace" feature.

Sorting and ranking multiple text values across variable rows and columns in separate workbooks can be challenging, especially when dealing with diverse player data across different seasons and games. To identify the top three players per season based on points won, consider leveraging Excel's powerful functions like SORT, FILTER, and UNIQUE to streamline your approach. If you need additional guidance on managing complex data, you might find our article on "Conditional formatting for specific character count" helpful for enhancing your spreadsheet skills.

In my latest project, I've integrated a Physics-Informed Neural Network (PINN) into a C++ WebAssembly engine to tackle high-velocity thermal problems in aerospace. My simulator, Met-Shield, predicts thermal gradients on spacecraft shields using a fully connected network, constrained by the properties of Ti-6Al-4V. While the model shows promise, I'm facing convergence challenges during peak heat flux scenarios. I invite fellow ML engineers to explore my open-sourced repo and provide insights, especially on balancing physics and data loss in the training process.

Clio has reached a significant milestone, achieving $500 million in annual recurring revenue (ARR) as legal tech startups experience unprecedented customer adoption. This achievement highlights the growing demand for innovative solutions in the legal sector, especially as companies like Clio redefine productivity and efficiency. At the same time, Anthropic is pushing the boundaries of AI, with insights from Cat Wu emphasizing that future AI systems will proactively anticipate user needs.

Introducing WebHarbor, a community-driven project designed to simplify web agent benchmarking by docking real websites into local environments. This innovative initiative packages 15 popular sites, including Amazon and GitHub, as self-contained Flask + SQLite apps within a single Docker image. With a control plane that resets each site in under one second, it empowers human-in-the-loop coding agents for efficient web interactions. As we aim to expand to over 100 popular websites, we invite contributions to enhance this transformative resource.

To show the change between two sums in Excel, you can use a simple formula to calculate the difference between the "End Value" and "Start Value." For example, in your case, you would subtract the "Start Value" from the "End Value" for each month. Place this formula in the column to the right of your data. This approach not only clarifies the change but also enhances your understanding of Excel functions.

Introducing "Continual Harness: Online Adaptation for Self-Improving Foundation Agents," a groundbreaking paper from the GPP and PokeAgent teams. Building on the success of the Gemini Plays Pokémon project, this research formalizes the iterative harness development process, showcasing how AI can adapt and refine itself through model-harness co-learning. The findings reveal that self-refinement is essential for long-horizon agency and can significantly narrow the gap to hand-engineered solutions.

Managing data across multiple spreadsheets can quickly become overwhelming, especially when tasked with updating a master list from individual sales reps’ sheets. If you're facing security prompts and cumbersome processes, you’re not alone. It’s essential to streamline this workflow for efficiency. Consider integrating the individual sheets directly into the master list for seamless formula application, or encouraging all reps to input their data in one place. For further insights on managing complex workbooks, check out our article "Expanding Sheets in Workbook.

Anthropic has reinstated the use of OpenClaw and third-party agents for Claude subscribers, but with a notable catch. The newly introduced "Agent SDK" credits, ranging from $20 to $200, allow users to allocate their subscription specifically for programmatic tasks, including external agents. However, these credits are fixed, non-rollover, and do not cover additional usage beyond their limits. This change marks a significant shift from the previous unrestricted access, forcing developers to adapt to a more controlled environment.

Unlock the potential of AI-driven financial modeling with Sourcetable. Our innovative platform empowers users to build sophisticated financial models that simplify complex data analysis. By harnessing the power of AI, you can enhance your decision-making process and streamline your financial workflows. Whether you're evaluating investment options or creating predictive models, Sourcetable makes it accessible and intuitive. For further insights, explore our article on “ETF Analysis with AI: Compare Funds and Find the Best Investments” to discover how AI can transform your investment strategies.

I trained a series of deep learning transformer-based chess models designed to mimic human play, taking inspiration from MAIA and Grandmaster Chess Without Search. Each model corresponds to a specific 100-point rating range, from approximately 800 to 2500+. Utilizing nearly a year of Lichess data, this project includes three models per rating: a move model, a thinking time model, and a win/draw model. Notably, despite their compact size of just 9 million parameters, the move models outperform MAIA-2 and closely match MAIA-3.

If your COUNTA formula is returning a blank cell despite appearing correct in the formula builder, it can be frustrating. In your case, the formula `=COUNTA('Player 1:Player 2'!C12)` should count all nonblank cells across the specified sheets, yet it shows no result. Check for hidden characters or formatting issues in the referenced cells. If the issue persists, consider reviewing our article "How to combine two sheets into one" for additional insights that might help you troubleshoot this problem effectively.

Managing manual spreadsheets in Excel can be challenging, especially when linked workbooks interfere with your settings. Unfortunately, there isn't a straightforward way to ensure that manual calculation remains consistent across all open spreadsheets due to Excel's default behavior. However, creating a macro could help. This macro could revert the calculation mode back to manual whenever another workbook attempts to switch it to automatic.

In a recent discussion, Cat Wu, head of product for Claude Code and Cowork, articulated a compelling vision for the future of AI: a world where technology proactively anticipates user needs before they even arise. This progressive approach suggests that the next significant leap in AI will prioritize user empowerment and seamless integration into daily tasks.

What would it look like if the world's largest banks of malware were stacked as hard drives, one on top of the other? This intriguing visualization invites us to consider the sheer scale and impact of cyber threats facing industries today. As we delve into this topic, it’s essential to understand the evolving landscape of cybersecurity and the proactive measures needed to combat these risks.

Encountering a blue blob on your Excel worksheet can be puzzling, but understanding its cause is the first step toward a solution. This visual artifact often indicates a formatting issue or a problematic cell setting. To remove it, start by checking your cell formatting and clearing any unwanted borders or shading. If you're feeling stuck, explore our article "COUNTA Not displaying answer," which addresses common Excel challenges and offers practical solutions to enhance your spreadsheet experience. Dive in and empower your data management skills today!

Unlock the potential of your investment strategy with our comprehensive guide on ETF analysis powered by AI. This resource enables you to compare funds effectively and identify the best opportunities tailored to your financial goals. By leveraging advanced technology, you can simplify your decision-making process and enhance your portfolio's performance. For further insights, explore our article on "Options Pricing with AI: Greeks Analysis and Black-Scholes," which delves deeper into utilizing AI for informed investment choices. Your journey to smarter investing starts here.

Are you noticing longer "on-hold" durations for your arXiv submissions? It seems that an influx of AI-generated, low-effort papers may be contributing to delays, as illustrated by one user who has experienced a two-week hold on their paper—a significant change from the usual quick turnaround. If you're encountering similar issues, you're not alone. For insights into leveraging AI effectively, check out our article, "Build AI Financial Models in Sourcetable," to explore how innovative tools can enhance your research productivity.

In today’s investment landscape, navigating the complexities of Exchange-Traded Funds (ETFs) can be daunting. Our guide on ETF Analysis with AI empowers you to compare funds effectively and uncover the best investment opportunities tailored to your needs. By leveraging advanced AI tools, you can simplify your decision-making process and enhance your portfolio's performance. For a deeper understanding of how AI can transform your financial strategies, explore our article on "Options Pricing with AI: Greeks Analysis and Black-Scholes." Your journey to smarter investing starts here.

Unlock the potential of options pricing with our in-depth exploration of Greeks analysis and the Black-Scholes model. This article demystifies key concepts, offering a clear understanding of how these tools can enhance your trading strategy. By leveraging AI-driven insights, you can make more informed decisions in a complex market landscape. If you're looking to optimize your Excel experience, check out our article, "Slow Workbook Diagnostics Assistance Request," for practical tips on improving performance. Embrace the future of finance with confidence and clarity.

Introducing Scenema Audio: a groundbreaking tool in our video production platform that enables zero-shot expressive voice cloning and speech generation. This innovative model allows you to dictate emotional performance—be it rage, grief, or wonder—while providing a reference audio for voice identity. Even voices unrecorded in specific emotions can deliver authentic performances. While the diffusion model may require post-editing for optimal results, it consistently outshines traditional TTS systems in naturalness.

Unlock the potential of options pricing with our insightful article on "Options Pricing with AI: Greeks Analysis and Black-Scholes." This resource delves into how AI can enhance your understanding of options pricing through the lens of the Greeks and the renowned Black-Scholes model. By combining advanced analytics with user-friendly insights, we aim to empower traders and analysts alike to make informed decisions. For a deeper dive into practical applications, explore our related article, "I Built the Same B2B Document Extractor Twice: Rules vs. LLM."

Introducing AI IQ, a groundbreaking platform that assigns estimated IQ scores to over 50 leading AI language models, using the familiar yardstick of human intelligence. This innovative approach offers interactive visualizations at aiiq.org, making the complexity of AI advancements more accessible. While praised for its clarity by technologists, it also faces criticism for oversimplifying AI capabilities into a single number. For a deeper dive into the future of AI and its evolving landscape, explore our related article on Anthropic’s vision for proactive AI.

Combining two datasets into one sheet can be straightforward, but issues often arise during the process. If you’re encountering errors like mismatched sizes or overwriting data, you’re not alone. Many users face similar challenges. A simple copy and paste may not suffice, especially if the datasets are not aligned correctly. To help you navigate this, we recommend checking out our article, "Expanding Sheets in Workbook," which offers insights on managing multiple datasets effectively. Let’s simplify this process and empower your data management journey!

Generating high-quality ebook covers locally can be challenging, especially on a machine with limited resources like 16GB of RAM and no GPU. While you’ve experienced impressive results using Google’s Imagen models, the costs can quickly add up. This raises the question: are there local models that can match the quality of these advanced systems? Exploring options that may take longer to generate but still deliver satisfactory results is essential.

In a significant shift in the AI landscape, Anthropic's Claude now leads in business adoption, surpassing OpenAI's ChatGPT for the first time. According to the May 2026 Ramp AI Index, Anthropic's adoption rose to 34.4% while OpenAI's fell to 32.3%. This growth reflects a year of remarkable progress for Anthropic, which has quadrupled its adoption rate. However, the report highlights three looming threats that could undermine this momentum, including rising costs and challenges related to its token-based pricing model.