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The 'Claude Education' platform, optimized for the university environment, has been officially launched. A key feature is the 'Learning Mode' function, which helps develop students' thinking skills rather than providing answers. We have already signed partnerships with renowned universities such as Northeastern, LSE, and Champlain College. Integration with Canvas LMS allows for seamless integration with existing training platforms Accelerating AI adoption on campus with student ambassador programs and developer support Customized AI Solutions for College Campuses Developed by Antropik, Claude Education is designed to enable the entire university community to safely utilize AI. Students can write literature reviews with references, get step-by-step math problem-solving assistance, and receive feedback on their thesis topics. Faculty can use it to develop assessment criteria that align with learning objectives, provide individual feedback on student work, and create problems of varying difficulty. Administrative staff can also easily apply it to tasks such as analyzing enrollment trends by department, automating repetitive emails, and converting complex documents into FAQs. Learning Mode: Focus on developing thinking skills rather than simply answering questions The most distinctive feature of Claude Education is the 'Learning Mode'. This function operates within 'Projects', which save conversations by students' assignments or topics, and helps students develop their thinking skills in the following ways: Encourage students to think for themselves by asking questions like, “How would you approach this problem?” Promote deep understanding with Socratic questions such as “What is the basis for your conclusion?” Helps you understand the underlying principles of problem solving rather than just simple answers Provides useful structures and templates for writing research papers, study guides, and outlines. Launch of special program for students Claude Education has launched two special programs to help students actively utilize AI technologies: Claude Campus Ambassador: An opportunity for students to work directly with the Anthropic team to lead AI education activities on campus. Student Developer Support: A program that provides API credits to students developing projects using the Cloud API. Strategic partnerships with leading universities Northeastern University has joined Antropik as its first university partner. This collaboration will provide access to Claude to 50,000 students, faculty, and staff across 13 global campuses. Northeastern is the first university in the U.S. to develop an AI-driven academic plan called Northeastern 2025. The London School of Economics and Political Science (LSE), a prestigious university in the social sciences, also offers Claude to its students. This will ensure equal access to the tools and technologies needed in the AI era and explore ways to responsibly use AI in educational settings. Champlain College, known for its career-focused education, is introducing Claude across its campus to help students develop the AI skills they need for the workplace.

As software development becomes more and more complex, AI coding tools are becoming a powerful tool for improving work efficiency for all developers, from beginners to experts. In this article, we will introduce three tools: Cursor AI , Windsurf , and Cline , and see which users we can recommend each tool to. Summary of Key Features Cursor AI : Provides advanced code generation and debugging capabilities and demonstrates excellent contextual understanding capabilities for large-scale projects. Windsurf : A collaboration-focused tool with great value for money, perfect for beginners and team projects. Cline : Combines with various AI models and provides flexible customization options, making it suitable for professionals. Cursor AI: A tool to boost your productivity with advanced features Who is it suitable for? Cursor is ideal for developers working on large projects or professionals who need to manage complex codebases. It uses an interface based on VS Code, so it will feel familiar to existing IDE users. Key Advantages Contextual understanding : Cursor analyzes the entire codebase to understand existing patterns and reflect them when writing new code. It can maintain consistency even in large projects. Composer features : Large-scale code refactoring via natural language commands, saving time and effort. Multiple modes : Ask mode to ask simple questions, Edit mode to review code changes, and Agent mode to perform automated tasks. Disadvantage Cost : If you use it frequently, the costs can add up quickly. Complex UI : The interface may feel a bit complicated for beginners, and some have pointed out that it has a lot of unnecessary features. Security Concerns : The architecture of uploading local code to the cloud may raise data security concerns for some organizations. Windsurf: A tool optimized for beginners and team collaboration Who is it suitable for? Windsurf is ideal for developers working on small projects or collaborating in teams, especially those with limited budgets. Key Advantages Value for money : Available for an affordable subscription fee of $15 per month, and a free plan is also available.

Summary of Key Content • Reve AI, Inc. releases Reve Image 1.0, a text-to-image generation model • Now available completely free at preview.reve.art • Features excellent prompt compliance, aesthetic quality, and text rendering capabilities • Ranked 1st in benchmark tests, beating out competing models such as Midjourney and Google Imagen 3 • Create high-quality images without complex prompt engineering • API access or future pricing policy has not yet been announced A new revolution in AI image generation Palo Alto, California-based startup Reve AI has released its first product, Reve Image 1.0, which is capable of accurately identifying user intent, generating aesthetically pleasing images, and rendering text within images. Most notably, Reve Image is currently available for free at preview.reve.art. The company has not yet announced any long-term pricing or API access plans, and it has not yet been determined whether this model will remain proprietary or be open sourced. Differentiating Strengths Reve Image goes beyond simply generating images from text and takes an approach that deeply understands user intent: Prompt Understanding : Generate accurate images without complex prompt engineering. Text Rendering : Excellent ability to clearly display text within images. Image editing features : Edit colors, text, viewpoints, etc. with simple language commands Reference Images : Helps create images that fit a specific style or inspiration In an evaluation by Artificial Analysis, a third-party AI model testing service, Reve Image ranked first in the “Image Generation Quality” category, outperforming well-known models such as Midjourney v6.1, Google Imagen 3, and Recraft V3. Ease of use Reve's interface is intuitive and simple: Input prompt at the bottom of the website, display generated image at the top Provides basic options such as aspect ratio adjustment (16:9 9:16), number of images generated (1 8), auto-enhance prompt text, and seed selection. Easy for anyone to use without complex settings Reve Image, now available for free, has been well-received by early adopters and is outperforming previous models, particularly when it comes to creating multi-character scenes and complex environments. Future outlook The Reve team is “a small team of passionate researchers, developers, and designers with big ideas” whose goal is to build AI models that understand creative intent, rather than simply produce visually appealing results. Currently available for free , with expectations of additional features such as API access, custom model training, and animation control tools in the future. As Reve continues to improve its AI models and expand its offerings, it is expected to quickly grow into a significant player in the AI-based creative tools market.

Smart and fast investment information provided by AI Provided by: NH Investment & Securities Event Period: 2025.03.01 ~ Ends when quantity is reached Benefits: 1 year free trial of Perplexity PRO 1 unique promo code per customer (can only be used once) Perplexity PRO subscription applies to the Perplexity account (email address) you select. If you already have a PRO account, you will need to select another account. How to apply: Namu Securities app → Participate in the ‘[Invest smartly with AI]’ event Download Android App: https://play.google.com/store/apps/details?id=com.wooriwm.txsmart&hl=ko&pli=1 Download iPhone App

🔍 Key Summary Fastest app : Upnote (fastest to boot) Great app for working together : Notion (multiple people can work at the same time) A good app for linking information : Obsidian (visually shows the connections between notes) Pricing : Upnote ($39.99 lifetime) > Obsidian (free for basic features) > Notion ($8/month) Data Security : Obsidian (stored directly on your computer) > Notion/Upnote (stored in the cloud) Ease of learning : Upnote (15 min) > Obsidian (45 min) > Notion (1 hour) Recommended for : Upnote → For those who want to take notes quickly and easily Notion → For those who need team work and information organization Obsidian → For those who want to connect ideas and create their own systems. Which Notes App is Right for Me? The Complete Beginner's Guide! Are you new to digital note-taking apps? Are you having trouble deciding which one to choose from the many? Don’t worry! Here’s a quick overview of the pros and cons of the three most popular apps of 2025. 1. Speed: How quickly can you start taking notes? A note-taking app should allow you to write down your inspiration as soon as it strikes. I compared the speed of each app: Upnote : It runs in less than a second and loads a lot of notes quickly. Obsidian : A bit slower than Upnote, but still pretty fast. Notion : It is the slowest because it requires an internet connection. You have to wait about 3.5 seconds. In places where the internet is unstable, Upnotes or Obsidian may work more reliably. 2. Data Storage: Where are my notes stored? App

• Global launch of Gemini Code Assist free version for individual developers • 180,000 code completions per month - 90x more usage limits than existing free tools • Available in Visual Studio Code, JetBrains IDEs, etc. • Support for improving development quality by adding GitHub code review function • Support for large files and codebases with 128,000 token context windows Google has launched a free version of 'Gemini Code Assist' for individual developers, students, hobby coders, and freelancers. Now, all developers can freely utilize the AI coding tool. AI-Changed Development Environment According to Google's DORA study, more than 75% of developers worldwide are using AI in their daily work. Even within Google, more than 25% of new code is generated by AI and goes through a process of review and approval by engineers. In this way, AI is becoming an essential tool in the development environment. But until now, only organizations with sufficient resources have been able to take advantage of the latest AI capabilities. Students, hobbyists, freelancers, and startups have had difficulty accessing these tools. With the number of developers worldwide expected to grow to 57.8 million by 2028, Google believes that AI tools should be available to everyone. Powerful coding support based on Gemini 2.0 'Gemini Code Assist' is based on Gemini 2.0 and supports all open source programming languages. It is specifically optimized for coding and has been fine-tuned through analysis and validation of real-world coding cases. The most notable thing is the usage limit. While other free coding tools offer around 2,000 code completions per month, Gemini Code Assist offers 180,000 code completions per month. This is a generous limit that even professional developers will find difficult to exceed. Innovation in Code Review AI helps not only with writing code, but also with improving its quality. Code review is an important but time-consuming process. 'Gemini Code Assist for GitHub' streamlines this process by providing free AI-based code review. It is available directly through the GitHub app, detects style issues and bugs, and automatically suggests code changes and fixes. It also supports custom style guides via the .gemini/styleguide.md file, as each team can have different coding conventions. Supporting developers' daily tasks Developers spend most of their time in their IDEs. Gemini Code Assist is now available for free in Visual Studio Code and JetBrains IDEs. It makes learning, creating code snippets, debugging, and modifying your applications easier with code completion, generation, and chat features. It provides a 128,000 token context window to work with large files and gain a broader understanding of your local codebase. The chat feature allows developers to focus on the creative part, and leave repetitive tasks like commenting or automated testing to Gemini. Start now Whether you’re a student or a freelance developer, Gemini Code Assist can help you complete your projects faster and more professionally. Sign up quickly and with no credit card required, with just your personal Gmail account. Get started by installing Gemini Code Assist on Visual Studio Code, GitHub, or a JetBrains IDE. Users who require advanced features may want to consider Gemini Code Assist Standard or Enterprise versions.

Key Facts More than 1/3 of 18-24 year olds in the US use ChatGPT More than a quarter of messages from users in this age group are related to education, such as learning and homework. 3/4 of College ChatGPT Users Want to Use AI in Education and Career Key uses: Starting assignments (49%), Outlining text (48%), Coming up with creative ideas (45%) Most students learn AI on their own or through friends without formal education. Utilization gap by state: California, Virginia, New Jersey, New York top vs. Wyoming, Alaska, Montana, West Virginia bottom AI Capabilities and the Future Labor Market According to an OpenAI report, college students acquiring AI skills is directly related to the economic competitiveness of the United States. More than 70% of business leaders said they would prefer less experienced candidates with AI skills over more experienced candidates. Already, 72% of companies have adopted AI in at least one area, with marketing, sales, and product development being particularly useful. A Stanford-MIT study found that AI tools can increase worker productivity by 15%, and for less experienced workers, productivity increases of more than 30%. A Harvard study found that students who used ChatGPT specifically for physics classes were twice as engaged and improved their problem-solving skills, especially for students with less background knowledge. But one of the report’s key findings is that many college students are learning about AI on their own and through their peers, without formal AI training or clear policies from their institutions. This phenomenon shows that educational environments are not yet adequately embracing AI, creating gaps in AI accessibility and knowledge among students. Weekly AI Utilization Gaps and Leading Cases ChatGPT utilization varies greatly by state. California, Virginia, New Jersey, and New York are at the top, while Wyoming, Alaska, Montana, and West Virginia are at the bottom. This gap could potentially create gaps in future workforce productivity and economic development. Some states are already leading the way in AI education: Utah is building an industry-specific AI experience pipeline through Salt Lake Community College, and the University of Utah has launched a $100 million AI research initiative. New York State is mandating AI education for all undergraduates across the SUNY system starting in 2026, and has created a new Department of AI and Society. Arizona State University began offering ChatGPT Enterprise to students and faculty in January 2024 in partnership with OpenAI, and the California State University System began the world’s largest AI education rollout, offering ChatGPT Edu to 500,000 students across 23 campuses in February 2025. 3D Strategy for Developing AI-Ready Workforce OpenAI proposes three core strategies (3Ds) to develop an AI-ready workforce: 1. Demystify AI According to an OpenAI survey, three out of four college students want AI education, but only one out of four colleges actually offers AI education. We need a practical approach that teaches students how AI can complement their learning, not replace it. A study from the University of Pennsylvania found that it’s important to allow students to learn on their own through appropriate prompts rather than simply providing answers. Hands-on workshops like OpenAI Academy can help increase understanding of AI and teach both students and teachers how to apply it in real life. 2. Improved Accessibility (Drive Access) Given that most students learn AI by word of mouth and are sensitive to cost, governments and educational institutions should support awareness of free AI tools and equal access to cutting-edge models. The OpenAI partnership between ASU and CSU is a successful model that provides advanced AI tools to hundreds of thousands of students and can be expanded to other educational institutions. 3. Develop Policies We need a national AI education strategy that is rooted in local communities and supported by U.S. businesses. Educational institutions should provide clear guidelines for AI use in classes, assignments, assessments, etc. Our research shows that without a proactive AI policy, students are hindered from using AI.

◆ Key points: Claude 3.7 Sonnet is the first hybrid inference model to be released on the market Provides an expanded thinking mode that displays immediate responses or step-by-step thinking processes Especially powerful performance improvements in coding and front-end web development. Claude Code launches command-line tool to delegate coding tasks directly from the terminal Available on all Claude plans: Free, Pro, Team, Enterprise, etc. A Practical Approach to Integrated Reasoning Abilities Anthropic developed Claude 3.7 Sonnet with a philosophy that sets it apart from other inference models. Just as humans use the same brain for both fast responses and deep thinking, Anthropic believes that inference ability should be an integrated feature of modern models, not a separate model. Claude 3.7 Sonnet implements this philosophy in several ways: One model, two modes : Integrate the general LLM and inference models into one, allowing users to choose when they need a general response and when they need to think more deeply. Control your thinking budget : API users can specify the number of tokens Claude will think about, up to 128K tokens, allowing them to balance speed, cost, and answer quality. Practical Optimization : Focuses on real-world tasks that better reflect how companies actually use their LLMs, rather than math or computer science competition problems. Excellence in coding skills In early tests, Claude demonstrated industry-leading coding skills: Cursor notes that Claude performs best on real-world coding tasks, from handling complex codebases to using advanced tools. Cognition was rated as significantly better than other models in planning code changes and handling full-stack updates. Vercel highlighted Claude’s exceptional precision for complex agent workflows. Replit has successfully deployed Claude to build complex web apps and dashboards from scratch, something that other models struggle with. In Canva's evaluation, Claude consistently produced production-quality code with excellent design sense and remarkably few errors. In benchmark tests, Claude 3.7 Sonnet also achieved top performance in SWE-bench Verified, which evaluates real-world software problem-solving capabilities, and TAU-bench, a framework for testing AI agents in complex real-world tasks.

The current state of digital sharing 75% of parents share their children’s personal information online 80% of parents share their children’s information with strangers The average 5-year-old has 1,500 photos exposed online AI technology increases the risk of digital identity theft Raising awareness through Deutsche Telekom’s #ShareWithCare campaign Blind spot of indiscriminate sharing Social media has become a natural part of our daily lives. From a child’s first steps to school events, it’s become commonplace to record and share every moment. But how aware are we of the dangers that this thoughtless sharing can bring? The Duality and Risk of AI Technology Modern AI technology can produce amazing results from a simple photo. With the advancement of facial recognition technology and deepfakes, images shared online can be exploited in a completely different context. In particular, there are risks such as: Financial loss through identity theft Voice phishing using voice duplication Damage to reputation through manipulated video Instrumentalization of online bullying Parenting in the Digital Age The average 5-year-old has 1,500 online photos, which is a serious problem. 75% of parents share their children’s information online, and 80% of them share it with people they have never met in real life. This poses a serious threat to children’s digital privacy. The meaning of the #ShareWithCare movement Deutsche Telekom’s #ShareWithCare campaign warns of new risks in the digital age. The message that “once something is published online, it is forever out of your control” is particularly relevant in modern society. Digital Privacy Protection Measures Setting sharing criteria

Canva has released its first update for 2025, introducing presentation tools that are more convenient than ever before. 1. The chart is clearer Now it’s much easier to add numbers to your charts. With just one click, data labels are neatly placed and can be freely adjusted in position. Your audience will be able to understand your data at a glance, making your presentation more effective. 2. Animations are smarter This is useful when you want to show the presentation content sequentially. You can easily apply effects that rise, slide, or appear with each click. Your presentation will become more vivid. 3. Real-time drawing function added A new feature has been added that lets you draw directly on the screen during a presentation. You can circle important parts, mark them with arrows, draw hearts, and more to highlight them in real time. 4. Offline presentations are now possible Don't worry even if your internet connection is unstable. Your prepared presentation will run perfectly even without the internet. You can present stably in any situation. 5. Mobile recording function introduced Add voice to your presentations on the go. With the new recording feature in the Canva mobile app, you can record your presentations anytime, anywhere. Add voice to any part that needs explanation to make your presentations richer. Canva’s latest update makes it easier and more effective to create presentations. Whether it’s complex data or long explanations, you can now create a stunning presentation that captivates your audience with Canva. Update your Canva app now and experience the new features. The next announcement will be even more special!

Key Points AI agents are programs that extend the capabilities of language models to access real-time information, suggest realistic actions, and autonomously perform complex tasks. The core components of an agent are the model (central decision-making), tools (external system integration), and the orchestration layer (inference/planning). Tools can be implemented in the form of Extensions (API integration), Functions (client execution), and Data Stores (data access). To build effective agents, it is necessary to utilize various learning methods such as contextual learning, search-based learning, and fine-tuning. The basic structure and working principles of the agent AI agents are autonomous programs that interact with external systems, centered around a language model. Just as a chef cooks using ingredients and tools, agents perform complex tasks through a language model that handles central decision-making, tools for linking with external systems, and an orchestration layer that coordinates them. Types of tools and how to use them There are three ways in which an agent interacts with the outside world: Extensions: Call the API directly to get real-time information or perform actions. Functions: Run on the client side and take into account security and timing constraints. Data Stores: Access structured and unstructured data to extend model knowledge. Learning strategies and performance optimization Learning strategies to improve agent performance: Contextual learning: learn how to use the tool at runtime through inference examples. Search-based learning: dynamically retrieves and leverages relevant information from external repositories. Fine-tuning: learning domain-specific knowledge in advance Actual implementation and development direction Considerations when implementing a production environment: Need for user interface, evaluation framework, and continuous improvement mechanism Utilize tools such as Google Vertex AI platform or LangChain

• Motivation and vision for AI technology development Experts from diverse backgrounds, including physics and biology, gather to discover the potential of AI Creating a shared sense of mission for the development of safe and beneficial AI Seeking a better direction based on our experience at OpenAI • Safe and responsible AI development Systematic AI safety management through introduction of RSP (Responsible Scaling Policy) Establishing an evaluation system to balance technological advancement and safety Sharing safety culture and values at a company-wide level • Organizational culture and leadership Building low political tension and high trust relationships Effective collaboration system between various departments A united movement toward a common mission • Future direction Improving safety through AI interpretability research Innovative applications in biology and medicine Exploring the Use of AI to Strengthen Democracy A new beginning created by a sense of crisis In 2020, with the rapid development of AI technology expected after the successful development of GPT-3, the founders of Anthropic had to make a crucial decision. With a sense of crisis that “if we don’t act now, we will reach a point of no return,” they decided to establish a new AI company. A special meeting of experts What’s unique about our founders is that they’re not just entrepreneurs, they’re researchers with deep expertise in their respective fields. Jared, a physics professor, Chris, who’s been doing AI research at Google Brain and OpenAI, and other members with diverse backgrounds, all came together under one mission.

The world's fastest AI coding tool is here. Introducing CerebrasCoder, which generates 2,200 codes per second! Code generation speed faster than light ⚡ The difference is clear when compared to competitors: CerebrasCoder: 2,200 tokens per second (F1 car speed!) Generic GPU: 31 tokens per second (bicycle level...) Other AI coding tools: 10x slower (turtle-walking...) How fast is it actually? 🎯 I made a simple calculator app and it was done in just 17 seconds! I created an app that works in real time while processing 2,321 tokens. Magical features ✨ Live preview as soon as you type in the code If you make a mistake, you can safely manage it with version control. Share with friends with one URL Copy with one click and use immediately Supports multiple languages including English and Spanish The secret is a powerful engine 🚀 The secret to this magical speed is Cerebras Systems’ special hardware, which even Meta’s AI team acknowledges. Powerful enough to handle even 405B parameter models, coding is now as easy as having a real conversation! #CerebrasCoder #AICoding #NoCode #FutureTechnology

Renamed to NotebookLM Plus, it offers expanded features for businesses, teams, and individual users, and can handle five times more content than before. An improved Audio Overview feature has been added, allowing users to interact directly with the AI host via voice, enabling more natural information consumption. The new design with three panels - Sources, Chat, and Studio - has been reorganized to make document management and AI interactions more efficient. Its value as an enterprise solution is recognized as companies use it for various purposes such as a CRM replacement tool or a company policy repository. Plus version 5 times more powerful Google has made a big change by updating the business version of NotebookLM, which started as a research tool, to Plus. It has been upgraded from the existing Gemini 1.5-based to the experimental Google 2.0 Flash version, which has greatly improved performance. Key new features include the ability for users to freely customize the style and tone of their notebooks, the ability to share notebooks with team members and analyze usage, and enhanced security and privacy features. In terms of accessibility, the service will be available through Google Workspace or Agentspace, and will be included in the Google One AI Premium subscription starting in 2025. Audio Overview: Conversing with AI through Voice The most notable change is the improvement of the Audio Overview feature. Users can now have a direct voice conversation with the AI host. By pressing the “interactive” button and selecting the “join” option, they can join the conversation in real time. However, please note that this feature only applies to newly created Audio Overviews and is still experimental, so there may be occasional delays in response or inaccurate information provided. Easier usability with 3 panels The interface has also been completely redesigned to improve user experience. It consists of three main panels: Sources panel: A place to upload and manage all your documents and files. Chat Panel: A space to analyze data and ask questions via the Gemini chatbox. Studio Panel: A space to create study guides, briefing documents, and Audio Overviews. This single, unified interface provides users with an environment where they can work more efficiently. Various corporate use cases, from CRM replacement to NotebookLM has been used in a variety of corporate environments since its launch, most notably by Sam Lessin, former vice president of Meta, who is said to be using it as a replacement for a CRM tool. In addition, it is recognized for its value as an enterprise solution as it is utilized for various purposes such as a repository for company policy documents, a platform for sharing project research materials, and a collaboration tool between teams. These diverse use cases demonstrate that NotebookLM Plus is evolving beyond a simple research tool into a comprehensive enterprise solution.

• When researchers asked ChatGPT to design a website, it automatically included patterns that deceived consumers. • An average of 5 consumer deceptive elements were included on every page, even though a plain design was requested • Purchase incentives such as “soon sold out”, “today only special price”, false discount prices, and hiding of cancel button were found. • ChatGPT was also pointed out as a problem because it automatically creates fake product reviews and recommendations. • Other AIs, including Google’s Gemini and Anthropic’s Claude, have shown the same problems. The study explains that the reason AI such as ChatGPT is imitating the way consumers are deceived when creating websites is due to the current bad practices of the Internet. Professor Carissa Veliz of Oxford University says that this is not the fault of AI, but rather a problem with the current Internet environment itself. It is also concerning that 16 out of 20 study participants did not find this deceptive design problematic. Experts emphasize that new rules and guidelines are urgently needed to prevent this problem as AI is expected to be used more in website design in the future. https://www.fastcompany.com/91233844/chatgpt-was-tasked-with-designing-a-website-the-result-was-as-manipulative-as-youd-expect?utm_source=newsletters&utm_medium=email&utm_campaign=FC%20-%20Compass%20Newsletter.Newsletter%20-%20FC%20-%20Compass%2012-2-24&leadId=203916810&mkt_tok=NjEwLUxFRS04NzIAAAGXJjIaHvUBfBPLUuyCRQpqDY31c8GRMM5yS-vozMqBYjoo6r8voeMJZXBL1iGQnqjml0h8PFsd-YOg1moTLON3gghYbj8-TjrLA3NnFS9ZmGzL6A

The full story behind Chrome's sale The US Department of Justice has made a shocking decision to Google. It will force Google to sell its Chrome browser as a sanction for its monopoly in the search market. According to Bloomberg, the expected sale price of the Chrome browser is a whopping 15-20 billion dollars. Companies that can invest such a large sum are being mentioned, such as Amazon, Meta, and Microsoft. However, due to the nature of large-scale antitrust lawsuits, it is expected that it will take a considerable amount of time until the actual sale. Bored of Browsers The current web browser market is truly dry. Major browsers such as Chrome, Safari, Edge, and Firefox are stable, but it is hard to find anything new. They have long been relegated to being accessories for the giant platforms of Android, iOS, and Windows. Far from being innovative, they are functioning only as tools for the platforms. The Golden Age of Browser Wars The browser market was once a fierce battleground. In the 1990s, Netscape Navigator and Internet Explorer fought a bloody battle that eventually led to Microsoft's antitrust lawsuit. In the early 2000s, Firefox challenged Internet Explorer, and in 2008, Chrome's appearance turned the browser market upside down again. In each battle, browsers made remarkable progress. Signs of a new wave The browser market is not completely dead. New browsers such as Arc and Vivaldi are continuing to make novel attempts. Arc has introduced an innovative function that summarizes web content with AI, and Vivaldi is attracting attention for its customized interface. However, their market share is still small. What is the future of browsers? What will happen to the browser market if the Chrome sale becomes a reality? Perhaps an AI company like OpenAI will acquire Chrome and introduce a completely new type of AI browser. However, this could be bad news for Chromium-based browsers like Edge, Arc, and Vivaldi. If Google's support is reduced, the Chromium platform itself could shrink. Anyway, one thing is clear. The web browser we use every day shouldn't be this boring. The start of a new browser war may be what we all need. https://www.fastcompany.com/91231751/google-chrome-sale-department-of-justice-browser-war?utm_source=newsletters&utm_medium=email&utm_campaign=FC%20-%20Compass%20Newsletter.Newsletter%20-%20FC%20-%20Compass%2011-26-24&leadId=203916810&mkt_tok=NjEwLUxFRS04NzIAAAGXBzYPDGQlAt5EDWQyVOJFu-vpNeYJSARpUNLEgt5o4n2vPKz8qd77o2ZymOp7jb0trJE20JXFwHta9bzfVkvjBnNmOXiZC81Pk6EMRelqVaJ9uw

Innovation in paper exploration and analysis Undermind excels at finding papers for complex research questions. The tool helps researchers save time with multi-search and content refinement features. Scispace provides a quick summary of existing literature on a specific topic, and also offers PDF interaction and paper organization features. AI-based writing support Otio is a powerful tool that allows you to easily input and search for information from various sources (including text and video). It is especially useful for academic writing, and Hemingway Editor and ChatGPT 4.0 are integrated with Canvas to make writing and editing easier. The AI-based synonym recommendation function acts like a powerful thesaurus. Data visualization and network analysis Vosviewer is a free tool for network visualization, allowing you to input your dataset and get impressive visualizations and powerful conclusions. Claude 3.5 Sonnet has improved code visualization and SVG graphics, and allows for more precise word selection. Information Management and Database Building Notion excels as an information storage, fast database building, writing and presentation tool. Litmaps is specialized for building bibliographic collections and can organize information in three ways: citation/reference, author information, and semantic networks. Research Assistance and Analysis Tools Chatgpt is useful for performing various multi-task analyses (text analysis, optical character recognition, speech recognition, data analysis, etc.). Paperpal provides various useful features for researchers such as paper review, paper discovery, journal selection, etc. Literature review and insight extraction Consensus features the ability to automate literature review and quickly extract insights from papers, while custom GPT helps you draft with perfect citations. Perplexity simplifies the research process, extracting relevant information to your questions and synthesizing key insights to save you time. These tools help researchers work more efficiently, and when used appropriately for their individual needs, they can greatly improve the quality and speed of research.

"China will forever be the world's factory." Just a few years ago, many experts predicted this. But the latest figures from the International Federation of Robotics (IFR) for 2023 show a new reality: China has surpassed Germany and Japan in manufacturing robot density (the number of industrial robots per 10,000 manufacturing workers), ranking third in the world. A moment of amazing change 470 units. This is the number of robots per 10,000 manufacturing workers in China. It is higher than Germany (429 units) and Japan (419 units). This is a remarkable growth for a country that was outside the top 10 just five years ago. The secret to rapid growth 1. Strong government support The Chinese government has set a long-term plan for manufacturing innovation. It has continued to provide systematic support and investment through “Made in China 2025” and has implemented various policies to foster the robot industry. 2. Changes in industrial structure The manufacturing environment in China has changed dramatically. Rising wages, the younger generation’s reluctance to work in manufacturing, and the labor shortage due to the aging population… These changes have naturally promoted the introduction of robots. 3. Growth of technical skills The efforts of Chinese companies also paid off. While learning advanced technologies from overseas, they also succeeded in developing their own technologies. The number of patent applications also increased significantly. Interesting World Rankings Current ranking of world robot density: 1st place South Korea: 1,012 units 2nd Singapore: 770 units 3rd place China: 470 units World average: 162 Here's something to note: China's size. South Korea and Singapore are countries with relatively small territories and populations. But China has a vast territory with a population of 1.4 billion. It's really impressive that such a large country has made such rapid changes. Future Prospects

The world's top 50 AI companies have a combined enterprise value of $358.3 billion • AI infrastructure and model sectors account for 67.27% of total investment • The United States led with 93.62% of total investment • OpenAI ranks first with a corporate value of $157 billion • Former Google employee startups account for 28% of total investments Topography of the AI investment market The AI startup ecosystem is showing more dynamic growth in 2024. The AI infrastructure and model sector is leading the market with $35.5 billion in investment, followed by the data/analysis sector with $5.9 billion. Of particular note is that the defense/security sector is emerging as a new growth engine with $3.8 billion in investment. Corporate Values and Leadership OpenAI has achieved a valuation of $157 billion under Sam Altman’s leadership, followed by Databricks ($43 billion) and Anthropic ($40 billion). In particular, 14 companies founded by former Googlers have attracted $14.7 billion in investment, creating a new wave of startup ecosystems based on innovative technologies and experience. Status of AI hubs by region California, USA, and San Francisco in particular, is positioned as a global AI innovation hub with 32 AI companies concentrated there. In Europe, the UK, France, and Germany are emerging as major AI hubs, each focusing on developing unique AI technologies. Investment distribution by industry The practical applications of AI technology are expanding, with healthcare and biotech attracting $1.2 billion in investment, and productivity software attracting $856 million. Autonomous driving and robotics are also showing steady growth, attracting $1.9 billion in investment. Future growth prospects As AI technology advances, the scale of investment is expected to continue to expand. In particular, growth in the AI infrastructure and model development sectors is expected to be remarkable, and the entrepreneurial activities of former Google talents are expected to inject new vitality into the market.

5 points to note • Generative AI market led by ChatGPT, capturing 82.5% of total traffic • User structure biased towards young, highly educated males • Explosive growth in middle-income countries, accounting for more than 50% of total traffic • Digital infrastructure and English proficiency are key drivers of generative AI adoption • A sharp decline in traffic to existing services such as Wikipedia and Stack Overflow 🌏 The explosively growing generative AI ecosystem The latest report from the World Bank’s Digital Development Office shows the explosive growth of generative AI. As of March 2024, the number of monthly visitors to the top 40 generative AI services exceeded 3 billion. ChatGPT, in particular, dominates the market, accounting for 82.5% of all traffic. But it still seems like it has a long way to go. ChatGPT's monthly traffic is only 1/80th of Google's and 1/50th of YouTube's. However, its growth rate is amazing. It is recorded as the fastest-growing consumer service in history. It took Facebook 4.5 years to reach 100 million users, and TikTok 9 months, but ChatGPT achieved it in just 64 days. 👥 Who will use generative AI? Looking at the user analytics results, we see an interesting pattern. Overall, there are many young, well-educated, male users, and this trend is particularly evident in the video generation AI tools. In the case of ChatGPT, the percentage of female users was 33%, which is significantly lower than Google (48%), Quira (54%), and Wikipedia (52%). This shows that the long-standing gender gap in the tech industry is being reproduced in the field of generative AI. The usage pattern is also characteristic. Users tend to access it mainly on weekdays using desktop computers. This suggests that generative AI is becoming established as a work or learning tool. In fact, according to a Danish survey, half of office workers use ChatGPT for work. 🌍 Regional usage that exceeded expectations The global spread of generative AI is astonishing. ChatGPT has spread to 209 out of 218 countries in just 16 months since its launch. As expected, the US initially accounted for 70% of all traffic, but surprisingly, it plummeted to 25% in just one month. The most notable change is the rise of middle-income countries, which now account for more than 50% of all traffic. In particular, India, Brazil, the Philippines, and Indonesia are among the top five countries for ChatGPT traffic. The case of India is particularly interesting. India has 14% of the US GDP, 35% of the US electricity consumption, and 30% of the US search engine traffic, but ChatGPT traffic exceeds 50% of the US. This shows that generative AI is spreading in a different pattern than the size of the economy or the level of use of existing digital services. 🔍 Key factors in introducing generative AI The research team analyzed the factors affecting the adoption of generative AI through panel data regression analysis. Income level, proportion of young people, level of digital infrastructure, and human capital emerged as the main factors. Of particular note is the impact of English proficiency. English-speaking countries had 8-9% more time spent per ChatGPT session than non-English-speaking countries. It is noteworthy that this difference occurred despite ChatGPT supporting multiple languages.