Zeenkis in the E-Commerce Enablers Industry

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Nvidia's annual developer conference in 2024, known as GTC (GPU Technology Conference), was a pivotal event that unveiled groundbreaking advancements in artificial intelligence (AI) chips, software tools, and strategic partnerships. The conference, led by Nvidia's CEO Jensen Huang, showcased the company's commitment to innovation and leadership in the tech industry. And if you want to understand the latest trends from the world of AI - subscribe to my newsletter ‘ ‘. And the best part - it’s completely free! AI Hunters Now, onto the key takeaways from Nvidia's GTC 2024: Flagship AI Chip - B200 "Blackwell" The Flagship AI Chip - B200 "Blackwell" unveiled by Nvidia at GTC 2024 represents a groundbreaking advancement in AI chip technology. Named after mathematician David Blackwell, this new chip is a significant leap forward in performance, being 30 times faster than its predecessor, the Hopper series, particularly excelling at tasks like supporting advanced chatbots and large language models. With an impressive 208 billion transistors, more than double the previous chip, the B200 chip offers exceptional processing power. Despite its remarkable performance, the B200 chip is designed with efficiency in mind, using 25 times less energy and money than the previous Hopper series. This focus on efficiency not only enhances its cost-effectiveness but also positions it as a sustainable solution for AI applications. The innovative design of the B200 chip, which combines two squares of silicon into a single chip, allows all transistors to access memory simultaneously, further boosting productivity and performance. Nvidia's dominance in the data center AI chip market, with a market share of roughly 80%, underscores the significance of the B200 chip in shaping the future of AI technology. Major tech giants like Amazon, Google, Meta Platforms, Microsoft, OpenAI, and Tesla are expected to adopt this new chip, highlighting its importance and impact in the industry. Expected to hit the market later in 2024, the B200 chip offers advanced capabilities for AI applications. With its powerful performance, energy efficiency, and anticipated industry-wide adoption, the Blackwell B200 chip is poised to redefine AI processing and drive innovation across various sectors. Points to Reflect Upon: Performance Leap: Consider the implications of the B200 chip's 30x performance increase for AI applications and industries. Assess the feasibility of integrating the B200 chip into existing AI infrastructure for enhanced performance. Efficiency Benefits: Conduct a cost-benefit analysis to determine the potential savings from transitioning to the B200 chip. Software Tools for AI Integration Nvidia Inference Microservices (NIM) introduced at GTC 2024 represent a significant advancement in AI deployment technology. NIM is a cloud-native microservices solution that simplifies the development and deployment of generative AI applications across various infrastructures, including cloud, data centers, and GPU-accelerated workstations. It offers a streamlined path for developing AI-powered enterprise applications and deploying AI models in production, aiming to shorten time-to-market and simplify deployment processes for organizations transitioning to full-scale production deployments. NIM is designed to bridge the gap between the complexities of AI model development and the operational needs of enterprises, enabling a broader pool of developers to contribute to AI transformations within their companies. Some core benefits of NIM include its portability and control, allowing model deployment across various infrastructures, from local workstations to cloud environments. It provides prebuilt containers and Helm charts with optimized models validated across different NVIDIA hardware platforms, cloud service providers, and Kubernetes distributions, ensuring support across all NVIDIA-powered environments. Developers can access AI models through industry-standard APIs, simplifying the development of AI applications and enabling swift updates within the ecosystem. NIM also addresses the need for domain-specific solutions by packaging domain-specific NVIDIA CUDA libraries and specialized code tailored to various domains like language, speech, video processing, healthcare, and more. Leveraging optimized inference engines for each model and hardware setup, NIM ensures the best possible latency and throughput on accelerated infrastructure, reducing the cost of running inference workloads as they scale and enhancing the end-user experience. Part of the NVIDIA AI Enterprise suite, NIM is built with an enterprise-grade base container, providing a solid foundation for enterprise AI software through rigorous validation, enterprise support, and regular security updates. With support for various AI models, including community models, NVIDIA AI Foundation models, and custom AI models, NIM simplifies the AI model deployment process by packaging algorithmic, system, and runtime optimizations and adding industry-standard APIs. This comprehensive solution accelerates the deployment of scalable and customized AI applications in production, making AI more accessible and customizable across industries. Points to Reflect Upon: Business Impact: Consider how NIM can empower businesses to harness AI capabilities and drive innovation. Operational Efficiency: Evaluate how enhanced system efficiency can optimize business processes and decision-making. Strategic Partnerships and Collaborations Nvidia's expanded partnerships with industry leaders and software makers announced at GTC 2024 mark a significant milestone in the development of AI technologies and their integration into various sectors. These collaborations highlight Nvidia's strategic efforts to advance AI infrastructure, enhance AI capabilities, and drive innovation across industries. One key partnership involves Microsoft, where Nvidia and Microsoft are working together to bring the power of Nvidia Grace Blackwell GB200 and advanced Nvidia technologies to Azure. This collaboration aims to deliver trillion-parameter foundation models for tasks like natural language processing, computer vision, speech recognition, and more. Additionally, Microsoft is introducing the Azure NC H100 v5 VM virtual machine based on the Nvidia H100 NVL platform to cater to midrange training and inferencing needs. Furthermore, Nvidia's inference microservices are being integrated into Azure, enhancing AI capabilities for users by providing cloud-native microservices for optimized inference on various foundation models. This integration streamlines AI deployments and accelerates the development of performance-optimized production AI applications. In the automotive sector, Nvidia has deepened its ties with leading Chinese automakers like BYD, Xpeng, GAC Aion's Hyper brand, Zeekr, and Li Auto. These partnerships focus on integrating Nvidia's cutting-edge technologies, such as the Drive Thor in-vehicle chips, to enhance autonomous driving capabilities and infotainment systems in vehicles. Collaborations with US-based software company Cerence aim to adapt large language model AI systems for in-car applications, promising advanced voice command systems and improved user experiences. Overall, these partnerships unveiled at GTC 2024 demonstrate Nvidia's commitment to driving innovation across various industries by leveraging cutting-edge technologies and fostering collaborations with industry leaders and software makers. Points to Reflect Upon: Industry Impact: Consider how partnerships with key players can influence the adoption and integration of Nvidia's technology in various sectors. Innovation Potential: Reflect on the potential for collaborative efforts to drive innovation and create new opportunities in AI and technology. Focus on Sustainability and Sovereign AI Nvidia's emphasis on sustainability and sovereign AI initiatives at GTC 2024 underscores the company's commitment to responsible technology development. The focus on addressing environmental concerns related to AI training and data center energy consumption demonstrates Nvidia's proactive stance on sustainability issues. By prioritizing energy efficiency and sustainable practices in AI development, Nvidia is setting a standard for responsible innovation in the tech industry. Furthermore, Nvidia's dedication to sovereign AI initiatives, which enable nations to produce AI using their infrastructure and workforce, highlights the company's commitment to promoting ethical and secure AI practices globally. By empowering countries to develop AI capabilities locally, Nvidia is fostering digital sovereignty and supporting economic growth while ensuring data protection and security. Overall, Nvidia's dual focus on sustainability and sovereign AI at GTC 2024 showcases the company's holistic approach to technology development, balancing innovation with ethical considerations and environmental responsibility. This strategic emphasis on sustainability and sovereignty sets Nvidia apart as a leader in responsible AI practices and underscores its commitment to shaping a more sustainable and secure future for AI technologies. Points to Reflect Upon: Environmental Responsibility: Consider the implications of Nvidia's sustainability efforts on the tech industry and environmental conservation. Develop a sustainability strategy to align with Nvidia's initiatives. Ethical AI Practices: Reflect on the importance of promoting ethical AI practices and ensuring transparency in AI development. Global Engagement: Explore opportunities for global engagement to promote sovereign AI practices and support technological independence. Market Position and Future Outlook Nvidia's strong market position and future outlook were prominently highlighted at GTC 2024, emphasizing the company's leadership in GPU technology and AI innovation amidst competition from rivals like AMD, Intel, and emerging startups. Announcements at GTC 2024 regarding new products such as the Blackwell GPU series, DGX GB200 System, and DGX SuperPOD underscore Nvidia's focus on advancing AI infrastructure and enabling next-generation AI models. This strategic vision positions Nvidia at the forefront of technological advancements that will shape the future of AI computing and high-performance computing (HPC). Overall, Nvidia's market position and future outlook at GTC 2024 highlight its resilience, innovation drive, and strategic vision for continued growth and leadership in the evolving landscape of AI technologies. To sum up, Nvidia's annual developer conference in 2024 was a platform for unveiling cutting-edge AI technology, software tools, and strategic partnerships that reinforce the company's position as a leader in the tech industry. The key takeaways from GTC 2024 underscore Nvidia's commitment to innovation, sustainability, and collaboration, setting the stage for continued advancements in AI, GPU technology, and high-performance computing. P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

Nvidia GPU Technology Conference In 2024: A Deep-Dive 

Older and Younger Adults Are Influenced Differently by Dark Pattern Designs: Conclusion & References

✨ As we welcome 2024, let's take a moment to applaud the incredible stories that fueled our hacker minds in 2023! 🚀 We've compiled a 2023 roundup of the top most-read stories, top active writers, top tech categories, and even the top most popular templates. These insights might be just what you need to start the 2024 right! Pro-tip: There’s a little surprise at the end! Most Read Stories Of The Year⁠ We've compiled the 23 most-read stories from last year: it's time to give a virtual high-five to our phenomenal writers! 📚✨ 1. , by Every Game of the Year Winner in Chronological Order . Jose Hernandez https://hackernoon.com/every-game-of-the-year-winner-in-chronological-order?embedable=true , by Navigating Big Data's Potential and Privacy in Modern Medicine Viktoriia Erokhina https://hackernoon.com/navigating-big-datas-potential-and-privacy-in-modern-medicine?embedable=true , by How to Implement a Merkle Tree in Solidity Daniel Shvetsov https://hackernoon.com/how-to-implement-a-merkle-tree-in-solidity?embedable=true , by Solid Principles in Smart Contract Development Daniel Shvetsov https://hackernoon.com/solid-principles-in-smart-contract-development?embedable=true , by Android Devices in Enterprise Mobility: Navigating Key Risks Alexey Zhurba https://hackernoon.com/android-devices-in-enterprise-mobility-navigating-key-risks?embedable=true , by Profiting in Times of Crises: The Silicon Valley Bank Story Alexey Zhurba https://hackernoon.com/profiting-in-times-of-crises-the-silicon-valley-bank-story?embedable=true , by The World Is Ready for a New Type of Operating System Theo Priestley https://hackernoon.com/the-world-is-ready-for-a-new-type-of-operating-system?embedable=true , by How to Centre an Element in CSS with Tailwind Jonathon Simpson https://hackernoon.com/how-to-centre-an-element-in-css-with-tailwind?embedable=true by Smart Contract Optimization: How to Use Less Gas in Ethereum Daniel Shvetsov https://hackernoon.com/smart-contract-optimization-how-to-use-less-gas-in-ethereum?embedable=true , by The Potential Impact of the Metaverse on Education Lomit Patel https://hackernoon.com/the-potential-impact-of-the-metaverse-on-education?embedable=true by The 7 Software Architecture Books Experienced Developers Need to Read Javin Paul https://hackernoon.com/the-7-software-architecture-books-experienced-developers-need-to-read?embedable=true by 13 Best Datasets for Power BI Practice Datasets https://hackernoon.com/13-best-datasets-for-power-bi-practice?embedable=true , by Coding: The Universal Language You Must Learn Lomit Patel https://hackernoon.com/coding-the-universal-language-you-must-learn?embedable=true , by Portfolio Optimization with Python and Quantum Computing Techniques Dmitrii Abramov , by Validate Binary Search Tree: Blind 75 LeetCode Question Ruslan Rakhmedo by 15 Excel Datasets for Data Analytics Beginners Datasets , by Introducing Drag-Your-GAN: Drag Objects to Create New Images Louis-François Bouchard , by How to Design a Messaging Service in Your 45-Minute System Design Interview Leonid Zemenkov by How to Fix Android Not Receiving Verification Texts Error Manmohan Singh , by I Conducted Experiments with the Alpacallama-7B Language Model: Here Are the Results Zheng "Bruce" Li , by Unveiling the Power of PM and P3M Algorithms on GPUs Alexey Ozeritskiy by How to Create a Solar System in JavaScript with Three.js Daniel Shvetsov , by Facilitating Team Development in a High-Pressure Environment Anton Rysin Use to share writing tips with the HackerNoon community! this template Most Active Writers Of The Year And now, let's cheer for the movers and shakers of 2023 – some of our most active writers, the ones who never let their keyboards gather dust and kept us hooked with the hottest info on the web. Let’s give it up to: Ishan Pandey Ulrik Lykke Andrey Didovskiy ZeroRequiem Mike Young Shai Almog Obyte Nicolas Fränkel Marcin Wosinek Frank Z Most Popular Tech Categories in 2023 Some Tech Categories really got you going - let’s take a look at the top ten of 2023: : This category resounds popular, accounting for 37% of all reads! Programming [Write a programming story with .] this template : The second runner-up drops to 16% of all reads on HackerNoon - a significant decrease but still huge in readers’ interest. Machine-learning [Tell us what they don’t say about AI/ML with ] this template : The third place earned 13% of the whole audience readership! Web3 [Discuss Web3’s future with ] this template : Just a little bit behind, Tech Stories accounts for 12% of all reads. Tech Stories [Tell us the last thing you learned with ] this template : Now, for the second noteworthy drop: Gaming accounts for almost 5% of all reads; though significantly lower, it still encompasses 565,728 reads! Gaming [Review a game with ] this template : This category accounts for 3,82% of all reads. Cloud [Write a Cloud story with ] this template : A short distance behind, we have the Cybersecurity category, representing 3,70% of all reads. Cybersecurity [Tell us how you got into Cybersecurity story with ] this template : With 3,55%, Data Science holds the 8th place on this list. Data Science [Write about Data with ] this template : This category holds 3,26% of all readership! Futurism [Discuss the Future of Tech with ] this template : Last but not least, the business category contains 3,09% of all readership, which breaks down to 377,215 reads. Business [Tell us about your Business with ] this template Most Popular Writing Templates in 2023 HackerNoon writing templates are at your disposal at all times, but you clearly had some favorites: Meet The Writer Web Development Web3 General Interview Write a Hackernoon Top Story Writer Versus Blank Page Everyone Should Know About It Describe Your Life Hacks Thank you all for the words you shared with HackerNoon 💚 We couldn’t have done it without you! If you didn’t see your name up on this list, don’t get discouraged - you’re on our personal favorites list for sure 🤗 And you add “reach a wider audience” or “become a more productive writer” to your 2024 resolutions. You have what it takes to smash your goals and we’ll keep feeding you the tips you need to get there, right here, in your inbox 📧 Surprise Time! HackerNoon is partnering with the 2024 editions of , , and , and we have three (3) tickets to offer! CXO 2.0 Conference Marketing 2.0 Conference Internet 2.0 Conference The 2.0 Conferences explore the future of , tools and insights to excel in today's landscape, and draw innovative minds from around the world. They’ll be taking place from February 20th to 22nd in Dubai and from March 18th to 20th in Las Vegas. #leadership #marketing Find out more about the event here. Curious? Email to express your interest - the lucky winners will be revealed in the next writers’ note. monica@hackernoon.com Happy 2024!

Unveiling the Best of 2023: Top Stories, Writers, Tech Categories, and Templates! 📚

This paper is available on arxiv under CC 4.0 license. . Authors: Gemini Team, Google Table of Links Abstract and Introduction Model Architecture Training Infrastructure Training Dataset Evaluation Responsible Deployment Discussion and Conclusion, References Contributions and Acknowledgments Appendix 8. Contributions and Acknowledgments Leads Rohan Anil, Co-Lead, Text Sebastian Borgeaud, Co-Lead, Text Yonghui Wu, Co-Lead, Text Jean-Baptiste Alayrac, Co-Lead, MM Vision Jiahui Yu, Co-Lead, MM Vision Radu Soricut*, Co-Lead, MM Vision* Johan Schalkwyk, Lead, MM Audio Andrew M. Dai, Co-Lead, Data Anja Hauth*, Co-Lead, Data* Katie Millican, Co-Lead, Data David Silver, Co-Lead, Fine-Tuning Slav Petrov, Co-Lead, Fine-Tuning Melvin Johnson, Lead, Instruction Tuning Ioannis Antonoglou*, Co-Lead, RL Techniques* Julian Schrittwieser, Co-Lead, RL Techniques Amelia Glaese, Lead, Human Data Jilin Chen, Lead, Safety Emily Pitler, Co-Lead, Tool Use Timothy Lillicrap, Co-Lead, Tool Use Angeliki Lazaridou, Co-Lead, Eval Orhan Firat, Co-Lead, Eval James Molloy, Co-Lead, Infra Michael Isard, Co-Lead, Infra Paul R. Barham, Co-Lead, Infra Tom Hennigan, Co-Lead, Infra Benjamin Lee, Co-Lead, Codebase & Parallelism Fabio Viola, Co-Lead, Codebase & Parallelism Malcolm Reynolds, Co-Lead, Codebase & Parallelism Yuanzhong Xu, Co-Lead, Codebase & Parallelism Ryan Doherty, Lead, Ecosystem Eli Collins, Lead, Product Clemens Meyer, Co-Lead, Operations Eliza Rutherford, Co-Lead, Operations Erica Moreira, Co-Lead, Operations Kareem Ayoub, Co-Lead, Operations Megha Goel, Co-Lead, Operations Core Contributors George Tucker Enrique Piqueras Maxim Krikun Iain Barr Nikolay Savinov Ivo Danihelka Becca Roelofs Core Contributors Anaïs White Anders Andreassen Tamara von Glehn Lakshman Yagati Mehran Kazemi Lucas Gonzalez Misha Khalman Jakub Sygnowski Alexandre Frechette Charlotte Smith Laura Culp Lev Proleev Yi Luan Xi Chen James Lottes Nathan Schucher Federico Lebron Alban Rrustemi Natalie Clay Phil Crone Tomas Kocisky Jeffrey Zhao Bartek Perz Dian Yu Heidi Howard Adam Bloniarz Jack W. Rae Han Lu Laurent Sifre Marcello Maggioni Fred Alcober Dan Garrette Megan Barnes Shantanu Thakoor Jacob Austin Gabriel Barth-Maron William Wong Rishabh Joshi Rahma Chaabouni Deeni Fatiha Arun Ahuja Ruibo Liu Yunxuan Li Sarah Cogan Jeremy Chen Core Contributors Chao Jia Chenjie Gu Qiao Zhang Jordan Grimstad Ale Jakse Hartman Martin Chadwick Gaurav Singh Tomar Xavier Garcia Evan Senter Emanuel Taropa Thanumalayan Sankaranarayana Pillai Jacob Devlin Michael Laskin Diego de Las Casas Dasha Valter Connie Tao Lorenzo Blanco Adrià Puigdomènech Badia David Reitter Mianna Chen Jenny Brennan Clara Rivera Sergey Brin Shariq Iqbal Gabriela Surita Jane Labanowski Abhi Rao Stephanie Winkler Emilio Parisotto Yiming Gu Kate Olszewska Yujing Zhang Ravi Addanki Antoine Miech Annie Louis Laurent El Shafey Denis Teplyashin Geoff Brown Elliot Catt Nithya Attaluri Jan Balaguer Jackie Xiang Pidong Wang Zoe Ashwood Anton Briukhov Albert Webson Sanjay Ganapathy Smit Sanghavi Core Contributors Ajay Kannan Ming-Wei Chang Axel Stjerngren Josip Djolonga Yuting Sun Ankur Bapna Matthew Aitchison Pedram Pejman Henryk Michalewski Tianhe Yu Cindy Wang Juliette Love Junwhan Ahn Dawn Bloxwich Kehang Han Peter Humphreys Thibault Sellam James Bradbury Varun Godbole Sina Samangooei Bogdan Damoc Alex Kaskasoli Sébastien M. R. Arnold Vijay Vasudevan Shubham Agrawal Jason Riesa Dmitry Lepikhin Richard Tanburn Srivatsan Srinivasan Hyeontaek Lim Sarah Hodkinson Pranav Shyam Johan Ferret Steven Hand Ankush Garg Tom Le Paine Jian Li Yujia Li Minh Giang Alexander Neitz Zaheer Abbas Sarah York Machel Reid Elizabeth Cole Aakanksha Chowdhery Dipanjan Das Dominika Rogozińska Vitaly Nikolaev Core Contributors Pablo Sprechmann Zachary Nado Lukas Zilka Flavien Prost Luheng He Marianne Monteiro Gaurav Mishra Chris Welty Josh Newlan Dawei Jia Miltiadis Allamanis Clara Huiyi Hu Raoul de Liedekerke Justin Gilmer Carl Saroufim Shruti Rijhwani Shaobo Hou Disha Shrivastava Anirudh Baddepudi Alex Goldin Adnan Ozturel Albin Cassirer Yunhan Xu Daniel Sohn Devendra Sachan Reinald Kim Amplayo Craig Swanson Dessie Petrova Shashi Narayan Arthur Guez Siddhartha Brahma Jessica Landon Miteyan Patel Ruizhe Zhao Kevin Villela Luyu Wang Wenhao Jia Matthew Rahtz Mai Giménez Legg Yeung Hanzhao Lin James Keeling Petko Georgiev Diana Mincu Boxi Wu Salem Haykal Rachel Saputro Kiran Vodrahalli Core Contributors James Qin Zeynep Cankara Abhanshu Sharma Nick Fernando Will Hawkins Behnam Neyshabur Solomon Kim Adrian Hutter Priyanka Agrawal Alex Castro-Ros George van den Driessche Tao Wang Fan Yang Shuo-yiin Chang Paul Komarek Ross McIlroy Mario Lučić Guodong Zhang Wael Farhan Michael Sharman Paul Natsev Paul Michel Yong Cheng Yamini Bansal Siyuan Qiao Kris Cao Siamak Shakeri Christina Butterfield Justin Chung Paul Kishan Rubenstein Shivani Agrawal Arthur Mensch Kedar Soparkar Karel Lenc Timothy Chung Aedan Pope Loren Maggiore Jackie Kay Priya Jhakra Shibo Wang Joshua Maynez Mary Phuong Taylor Tobin Andrea Tacchetti Maja Trebacz Kevin Robinson Yash Katariya Sebastian Riedel Core Contributors Paige Bailey Kefan Xiao Nimesh Ghelani Lora Aroyo Ambrose Slone Neil Houlsby Xuehan Xiong Zhen Yang Elena Gribovskaya Jonas Adler Mateo Wirth Lisa Lee Music Li Thais Kagohara Jay Pavagadhi Sophie Bridgers Anna Bortsova Sanjay Ghemawat Zafarali Ahmed Tianqi Liu Richard Powell Vijay Bolina Mariko Iinuma Polina Zablotskaia James Besley Da-Woon Chung Timothy Dozat Ramona Comanescu Xiance Si Jeremy Greer Guolong Su Martin Polacek Raphaël Lopez Kaufman Simon Tokumine Hexiang Hu Elena Buchatskaya Yingjie Miao Mohamed Elhawaty Aditya Siddhant Nenad Tomasev Jinwei Xing Christina Greer Helen Miller Shereen Ashraf Aurko Roy Zizhao Zhang Ada Ma Angelos Filos Core Contributors Milos Besta Rory Blevins Ted Klimenko Chih-Kuan Yeh Soravit Changpinyo Jiaqi Mu Oscar Chang Mantas Pajarskas Carrie Muir Vered Cohen Charline Le Lan Krishna Haridasan Amit Marathe Steven Hansen Sholto Douglas Rajkumar Samuel Mingqiu Wang Sophia Austin Chang Lan Jiepu Jiang Justin Chiu Jaime Alonso Lorenzo Lars Lowe Sjösund Sébastien Cevey Zach Gleicher Thi Avrahami Anudhyan Boral Hansa Srinivasan Vittorio Selo Rhys May Konstantinos Aisopos Léonard Hussenot Livio Baldini Soares Kate Baumli Michael B. Chang Adrià Recasens Ben Caine Alexander Pritzel Filip Pavetic Fabio Pardo Anita Gergely Justin Frye Vinay Ramasesh Dan Horgan Kartikeya Badola Nora Kassner Subhrajit Roy Ethan Dyer Core Contributors Víctor Campos Alex Tomala Yunhao Tang Dalia El Badawy Elspeth White Basil Mustafa Oran Lang Abhishek Jindal Sharad Vikram Zhitao Gong Sergi Caelles Ross Hemsley Gregory Thornton Fangxiaoyu Feng Wojciech Stokowiec Ce Zheng Phoebe Thacker Çağlar Ünlü Zhishuai Zhang Mohammad Saleh James Svensson Max Bileschi Piyush Patil Ankesh Anand Roman Ring Katerina Tsihlas Arpi Vezer Marco Selvi Toby Shevlane Mikel Rodriguez Tom Kwiatkowski Samira Daruki Keran Rong Allan Dafoe Nicholas FitzGerald Keren Gu-Lemberg Mina Khan Lisa Anne Hendricks Marie Pellat Vladimir Feinberg James Cobon-Kerr Tara Sainath Maribeth Rauh Sayed Hadi Hashemi Richard Ives Yana Hasson YaGuang Li Eric Noland Core Contributors Yuan Cao Nathan Byrd Le Hou Qingze Wang Thibault Sottiaux Michela Paganini Jean-Baptiste Lespiau Alexandre Moufarek Samer Hassan Kaushik Shivakumar Joost van Amersfoort Amol Mandhane Pratik Joshi Anirudh Goyal Matthew Tung Andrew Brock Hannah Sheahan Vedant Misra Cheng Li Nemanja Rakićević Mostafa Dehghani Fangyu Liu Sid Mittal Junhyuk Oh Seb Noury Eren Sezener Fantine Huot Matthew Lamm Nicola De Cao Charlie Chen Contributors Gamaleldin Elsayed Ed Chi Mahdis Mahdieh Ian Tenney Nan Hua Ivan Petrychenko Patrick Kane Dylan Scandinaro Rishub Jain Jonathan Uesato Romina Datta Adam Sadovsky Oskar Bunyan Dominik Rabiej Shimu Wu John Zhang Contributors Gautam Vasudevan Edouard Leurent Mahmoud Alnahlawi Ionut Georgescu Nan Wei Ivy Zheng Betty Chan Pam G Rabinovitch Piotr Stanczyk Ye Zhang David Steiner Subhajit Naskar Michael Azzam Matthew Johnson Adam Paszke Chung-Cheng Chiu Jaume Sanchez Elias Afroz Mohiuddin Faizan Muhammad Jin Miao Andrew Lee Nino Vieillard Sahitya Potluri Jane Park Elnaz Davoodi Jiageng Zhang Jeff Stanway Drew Garmon Abhijit Karmarkar Zhe Dong Jong Lee Aviral Kumar Luowei Zhou Jonathan Evens William Isaac Zhe Chen Johnson Jia Anselm Levskaya Zhenkai Zhu Chris Gorgolewski Peter Grabowski Yu Mao Alberto Magni Kaisheng Yao Javier Snaider Norman Casagrande Paul Suganthan Evan Palmer Contributors Geoffrey Irving Edward Loper Manaal Faruqui Isha Arkatkar Nanxin Chen Izhak Shafran Michael Fink Alfonso Castaño Irene Giannoumis Wooyeol Kim Mikołaj Rybiński Ashwin Sreevatsa Jennifer Prendki David Soergel Adrian Goedeckemeyer Willi Gierke Mohsen Jafari Meenu Gaba Jeremy Wiesner Diana Gage Wright Yawen Wei Harsha Vashisht Yana Kulizhskaya Jay Hoover Maigo Le Lu Li Chimezie Iwuanyanwu Lu Liu Kevin Ramirez Andrey Khorlin Albert Cui Tian LIN Marin Georgiev Marcus Wu Ricardo Aguilar Keith Pallo Abhishek Chakladar Alena Repina Xihui Wu Tom van der Weide Priya Ponnapalli Caroline Kaplan Jiri Simsa Shuangfeng Li Olivier Dousse Fan Yang Jeff Piper Nathan Ie Contributors Minnie Lui Rama Pasumarthi Nathan Lintz Anitha Vijayakumar Lam Nguyen Thiet Daniel Andor Pedro Valenzuela Cosmin Paduraru Daiyi Peng Katherine Lee Shuyuan Zhang Somer Greene Duc Dung Nguyen Paula Kurylowicz Sarmishta Velury Sebastian Krause Cassidy Hardin Lucas Dixon Lili Janzer Kiam Choo Ziqiang Feng Biao Zhang Achintya Singhal Tejasi Latkar Mingyang Zhang Quoc Le Elena Allica Abellan Dayou Du Dan McKinnon Natasha Antropova Tolga Bolukbasi Orgad Keller David Reid Daniel Finchelstein Maria Abi Raad Remi Crocker Peter Hawkins Robert Dadashi Colin Gaffney Sid Lall Ken Franko Egor Filonov Anna Bulanova Rémi Leblond Vikas Yadav Shirley Chung Harry Askham Luis C. Cobo Contributors Kelvin Xu Felix Fischer Jun Xu Christina Sorokin Chris Alberti Chu-Cheng Lin Colin Evans Hao Zhou Alek Dimitriev Hannah Forbes Dylan Banarse Zora Tung Jeremiah Liu Mark Omernick Colton Bishop Chintu Kumar Rachel Sterneck Ryan Foley Rohan Jain Swaroop Mishra Jiawei Xia Taylor Bos Geoffrey Cideron Ehsan Amid Francesco Piccinno Xingyu Wang Praseem Banzal Petru Gurita Hila Noga Premal Shah Daniel J. Mankowitz Alex Polozov Nate Kushman Victoria Krakovna Sasha Brown MohammadHossein Bateni Dennis Duan Vlad Firoiu Meghana Thotakuri Tom Natan Anhad Mohananey Matthieu Geist Sidharth Mudgal Sertan Girgin Hui Li Jiayu Ye Ofir Roval Reiko Tojo Contributors Michael Kwong James Lee-Thorp Christopher Yew Quan Yuan Sumit Bagri Danila Sinopalnikov Sabela Ramos John Mellor Abhishek Sharma Aliaksei Severyn Jonathan Lai Kathy Wu Heng-Tze Cheng David Miller Nicolas Sonnerat Denis Vnukov Rory Greig Jennifer Beattie Emily Caveness Libin Bai Julian Eisenschlos Alex Korchemniy Tomy Tsai Mimi Jasarevic Weize Kong Phuong Dao Zeyu Zheng Frederick Liu Fan Yang Rui Zhu Mark Geller Tian Huey Teh Jason Sanmiya Evgeny Gladchenko Nejc Trdin Andrei Sozanschi Daniel Toyama Evan Rosen Sasan Tavakkol Linting Xue Chen Elkind Oliver Woodman John Carpenter George Papamakarios Rupert Kemp Sushant Kafle Tanya Grunina Rishika Sinha Contributors Alice Talbert Abhimanyu Goyal Diane Wu Denese Owusu-Afriyie Cosmo Du Chloe Thornton Jordi Pont-Tuset Pradyumna Narayana Jing Li Saaber Fatehi John Wieting Omar Ajmeri Benigno Uria Tao Zhu Yeongil Ko Laura Knight Amélie Héliou Ning Niu Shane Gu Chenxi Pang Dustin Tran Yeqing Li Nir Levine Ariel Stolovich Norbert Kalb Rebeca Santamaria-Fernandez Sonam Goenka Wenny Yustalim Robin Strudel Ali Elqursh Balaji Lakshminarayanan Charlie Deck Shyam Upadhyay Hyo Lee Mike Dusenberry Zonglin Li Xuezhi Wang Kyle Levin Raphael Hoffmann Dan Holtmann-Rice Olivier Bachem Summer Yue Sho Arora Eric Malmi Daniil Mirylenka Qijun Tan Christy Koh Soheil Hassas Yeganeh Contributors Siim Põder Steven Zheng Francesco Pongetti Mukarram Tariq Yanhua Sun Lucian Ionita Mojtaba Seyedhosseini Pouya Tafti Ragha Kotikalapudi Zhiyu Liu Anmol Gulati Jasmine Liu Xinyu Ye Bart Chrzaszcz Lily Wang Nikhil Sethi Tianrun Li Ben Brown Shreya Singh Wei Fan Aaron Parisi Joe Stanton Chenkai Kuang Vinod Koverkathu Christopher A. Choquette-Choo Yunjie Li TJ Lu Abe Ittycheriah Prakash Shroff Pei Sun Mani Varadarajan Sanaz Bahargam Rob Willoughby David Gaddy Ishita Dasgupta Guillaume Desjardins Marco Cornero Brona Robenek Bhavishya Mittal Ben Albrecht Ashish Shenoy Fedor Moiseev Henrik Jacobsson Alireza Ghaffarkhah Morgane Rivière Alanna Walton Clément Crepy Alicia Parrish Contributors Yuan Liu Zongwei Zhou Clement Farabet Carey Radebaugh Praveen Srinivasan Claudia van der Salm Andreas Fidjeland Salvatore Scellato Eri Latorre-Chimoto Hanna Klimczak-Plucińska David Bridson Dario de Cesare Tom Hudson Piermaria Mendolicchio Lexi Walker Alex Morris Ivo Penchev Matthew Mauger Alexey Guseynov Alison Reid Seth Odoom Lucia Loher Victor Cotruta Madhavi Yenugula Dominik Grewe Anastasia Petrushkina Tom Duerig Antonio Sanchez Steve Yadlowsky Amy Shen Amir Globerson Adam Kurzrok Lynette Webb Sahil Dua Dong Li Preethi Lahoti Surya Bhupatiraju Dan Hurt Haroon Qureshi Ananth Agarwal Tomer Shani Matan Eyal Anuj Khare Shreyas Rammohan Belle Lei Wang Chetan Tekur Mihir Sanjay Kale Jinliang Wei Contributors Ruoxin Sang Brennan Saeta Tyler Liechty Yi Sun Yao Zhao Stephan Lee Pandu Nayak Doug Fritz Manish Reddy Vuyyuru John Aslanides Nidhi Vyas Martin Wicke Xiao Ma Taylan Bilal Evgenii Eltyshev Daniel Balle Nina Martin Hardie Cate James Manyika Keyvan Amiri Yelin Kim Xi Xiong Kai Kang Florian Luisier Nilesh Tripuraneni David Madras Mandy Guo Austin Waters Oliver Wang Joshua Ainslie Jason Baldridge Han Zhang Garima Pruthi Jakob Bauer Feng Yang Riham Mansour Jason Gelman Yang Xu George Polovets Ji Liu Honglong Cai Warren Chen XiangHai Sheng Emily Xue Sherjil Ozair Adams Yu Christof Angermueller Contributors Xiaowei Li Weiren Wang Julia Wiesinger Emmanouil Koukoumidis Yuan Tian Anand Iyer Madhu Gurumurthy Mark Goldenson Parashar Shah MK Blake Hongkun Yu Anthony Urbanowicz Jennimaria Palomaki Chrisantha Fernando Kevin Brooks Ken Durden Harsh Mehta Nikola Momchev Elahe Rahimtoroghi Maria Georgaki Amit Raul Sebastian Ruder Morgan Redshaw Jinhyuk Lee Komal Jalan Dinghua Li Ginger Perng Blake Hechtman Parker Schuh Milad Nasr Mia Chen Kieran Milan Vladimir Mikulik Trevor Strohman Juliana Franco Tim Green Program Leads Demis Hassabis Koray Kavukcuoglu Overall Technical Leads (equal contribution) Jeffrey Dean Oriol Vinyals The roles are defined as below: • : Individual(s) responsible for the sub-team throughout the project. Lead Individual that had significant impact throughout the project. • Core Contributor: : Individual that had contributions to the project and was partially involved with the effort. • Contributor Responsible for the organizational aspects of the Gemini effort • Program Lead: Responsible for the technical direction of the overall Gemini effort • Overall Technical Lead: Within each role, contributions are equal, and are listed in a randomized order. Ordering within each role does not indicate ordering of the contributions. Gemini is a cross-Google effort, with members from Google DeepMind (GDM), Google Research (GR), Knowledge and Information (K&I), Core ML, Cloud, Labs, and more. We thank our reviewers and colleagues for their valuable discussions and feedback on the report— Alexandra Belias, Arielle Bier, Eleanor Tomlinson, Emily Hossellman, Gaby Pearl, Helen King, Hollie Dobson, Jaclyn Konzelmann, Jennifer Beroshi, Joel Moss, Jon Small, Jonathan Fildes, Oli Gaymond, Rebecca Bland, Reena Jana, and Tom Lue. Our work is made possible by the dedication and efforts of numerous teams at Google. We would like to acknowledge the support from Abhi Mohan, Adekunle Bello, Aishwarya Nagarajan, Alaa Saade, Alejandro Lince, Alexander Chen, Alexander Kolbasov, Alexander Schiffhauer, Amar Subramanya, Ameya Shringi, Amin Vahdat, Anda Rabatić, Anthonie Gross, Antoine Yang, Anthony Green, Anton Ruddock, Art Khurshudov, Artemis Chen, Arthur Argenson, Avinatan Hassidim, Beiye Liu, Benjamin Schroeder, Bin Ni, Brett Daw, Bryan Chiang, Burak Gokturk, Carl Crous, Carrie Grimes Bostock, Charbel Kaed, Charlotte Banks, Che Diaz, Chris Larkin, Christy Lian, Claire Cui, Clare Bycroft, Corentin Tallec, Daniel Herndon, Dave Burke, David Battle, David Engel, Dipannita Shaw, Donghyun Koo, Doug Ritchie, Dragos Stefanescu, Elissa Wolf, Emre Sargin, Eran Ofek, Eric Herren, Estella King, Fatema Alkhanaizi, Felix Gimeno, Fernando Pereira, Florent Altché, Gabriel Carvajal, Gaurav Gandhi, George Powell, Goran Pavičić, Harry Richardson, Hassan Wassel, Hongji Li, Idan Szpektor, Igor Ivanisevic, Ivan Jambrešić, Ivan Jurin, Jade Fowler, James Assiene, Jay Yagnik, Jeanbastien Grill, Jeff Seibert, Jenna LaPlante, Jessica Austin, Jianxing Lu, Jim O’Keeffe, Jin Huang, Joe Heyward, Johannes Welbl, John Jumper, Jonathan Caton, Josh Woodward, Joshua Foster, Kathryn Tunyasuvunakool, Katrina Wong, Kavya Kopparapu, Kelvin Nguyen, Kira Yin, Konstantin Sharlaimov, Kun Li, Lee Hong, Lilly Taylor, Longfei Shen, Luc Mercier, Maciej Mikuła, Mania Abdi, Manuel Sanchez, Maria Ines Aranguren, Mario Carlos Cortes III, Matthew Tait, Matthias Lochbrunner, Mehdi Ghissassi, Micah Mosley, Michael Bendersky, Michael Figurnov, Michael Harris, Michael Mathieu, Michael O’Neill, Michael Vorburger, Mihir Paradkar, Nandita Dukkipati, Nathan Carter, Nathan Watson, Neil Rabinowitz, Nikhil Dandekar, Nishant Ranka, Obaid Sarvana, Olcan Sercinoglu, Olivier Lacombe, Ottavia Bertolli, Paul Caron, Pranesh Srinivasan, Praveen Kumar, Rahul Sukthankar, Raia Hadsell, Rajagopal Ananthanarayanan, Roberto Lupi, Rosie Zou, Sachin Menezes, Sadegh Jazayeri, Sam Cheung, Sameer Bidichandani, Sania Alex, Sanjiv Kumar, Sara Wiltberger, Sarah Fitzgerald, Saz Basu, Sebastian Nowozin, Shannon Hepburn, Shayne Cardwell, Sissie Hsiao, Srinivasan Venkatachary, Sugato Basu, Sundar Pichai, Sundeep Tirumalareddy, Susannah Young, Swetha Vijayaraghavan, Tania Bedrax-Weiss, Taylor Applebaum, Teiva Harsanyi, Terry Chen, Tim Blyth, Ting Liu, Tom Cobley, Tomas Izo, Trystan Upstill, Varun Singhai, Vedrana Klarić Trupčević, Victor Cai, Vladimir Pudovkin, Vu Dang, Wenbo Zhao, Wesley Crow, Wesley Szeng, Xiaodan Song, Yazhou Zu, Ye Tian, Yicong Wang, Yixing Wang, Yossi Matias, Yunlong Jiao, Zachary Jessup, Zhenchuan Pang, Žiga Avsec, Zimeng Yang, and Zoubin Ghahramani. We’d also like to recognize the AlphaCode team, the Borg Scheduling team, the Facilities team, the Gemini Demo Team, the Global Server Ops (GSO) team, the JAX team, the the Legal team, ML SRE team, the ML Supercomputer (MLSC) team, the PartIR team, the Platforms Infrastructure Engineering (PIE) team, and the XLA Compiler team. We thank everyone at Google not explicitly mentioned above, who have shared excitement, given feedback on early Gemini models or created interesting demo uses of Gemini, and worked with or supported the core Gemini team on many aspects of this project.

Gemini -  A Family of Highly Capable Multimodal Models: Contributions and Acknowledgments

“A wise ninja does not seek out an enemy who he does not fully understand." - Splinter from Teenage Mutant Ninja Turtles As a technical writer passionate about science fiction, one of the most exciting parts of my job at Sonatype is when I have the opportunity to collaborate with the security research team. Ever since we found that correspond to what we call RAT mutants—novel malware that leverages the capabilities of remote access trojans and information stealers—our security researchers have had a nagging sense of déjà vu. a series of Python packages last month It’s not a rare occurrence: they constantly assess hundreds of suspicious packages from open-source registries to determine if they’re truly malicious. During this procedure, they identify familiar patterns between the packages, and sometimes, upon recognizing strong similarities, they conduct further research to track down the actor/campaign behind them. Between the last week of 2022 and the beginning of 2023, our AI system flagged suspicious packages uploaded to the PyPI registry including and . Our security researchers looked at them and confirmed they were indeed malicious. And after further analysis, they noticed these packages added a series of features not often seen in Python malware. pyrologin , easytimestamp , discorder , discord-dev , style.py , pythonstyles In what has become a de facto strategy, bad actors hide a payload in the file so developers only have to use a simple pip install to get infected. In this case, they’d be inadvertently launching a PowerShell script that downloads a ZIP file to install libraries that let the attacker control the victim’s mouse, the keyboard, take screenshots, and create hidden remote connections. And on top of that, these packages also exfiltrate sensitive information like passwords, cookies, and cryptocurrency wallet data, and even try to install a tool for remote access. Our findings were in line with of the very same packages. setup[.]py Phylum’s technical report Nevertheless, security researcher Carlos Fernandez was having a haunting sense of déjà vu. During the week after we disclosed the packages, memories of having seen earlier versions of this malware flashed through his mind. A threat actor might have been evolving their malware through time, but we needed to make sure, so I put my OSINT hat on to help him see if there was any truth to his intuition. The Origin Story Looking back on our database, on September 25, 2022, a package called was uploaded to the PyPI repository. Our AI flagged it as suspicious and our security researchers confirmed that it contained malware and that it bundled the sources of another package called . Both libraries were authored by , aka BillyTheGoat, aka BillyV3 (with contributions from loTus04 and BlueRed). This author from France (at least that’s what his location in GitHub and the language spoken through his Discord channels suggest) is credited as the person behind , a Python obfuscator that we’ve found often in recently uploaded malware, as well as one of the creators of , an information stealer that’s been active since July in an to open registries. pygradient pystyle billythegoat356 Hyperion W4SP stealer ongoing supply chain attack W4SP stealer boasts persistency (it gets reactivated every time users restart the PC), obfuscation (the author promises it’s fully undetectable), and steganography techniques to hide polymorphic and highly-obfuscated payloads within an image file. The malware sends all the victim’s Discord accounts, credit cards, passwords, and crypto-wallets back to the attacker through a hard-coded Discord webhook address. Bad actors interested in this malware have purchased it by paying about 20 USD in crypto. Originally, did not have a malicious nature—a harmless package to style and color console output to enhance readability and user experience. But according to Phylum research, once it became popular (the package is still active on PyPI and it accumulates more than 40,000 downloads every month), they decided to add W4SP malware in a couple of releases. pystyle Open-source packages like can act as sleeper agents for months only to be activated later by their own author for malicious purposes. A risky move, since their popular package can be discovered by security researchers like us who’ll report it as malicious and have it be taken down forever. That’s why they often create new packages instead where they include the source code of an innocuous library, add some type of malicious payload, and upload it under a new name: something generic, benign-sounding, innocent-looking. A name such as . pystyle pygradient After taking a closer look with Carlos, we found this proto-RAT mutant malware lacked some of the features of the December versions: even though it also launched a PowerShell script and exfiltrated sensitive data, it didn’t use base64 encoded payloads or an allowlist txt file to avoid self-infection. In a way, it was a milder, less sophisticated variant. But then we looked at early-November uploaded packages, including , , and , and after diving deeper, we found confirmation of our suspicion: the malware was truly evolving. paintpy devicespoof devicespoofer A Copycat Chasing Malware Even though BillyTheGoat hasn’t been active on GitHub since November, we’re still finding malware that’s based on his creations or stealing directly from them, mostly by a user that’s apparently based in Portugal called . zeeckt This user uploaded a recently removed package in PyPI called , falsely credited to BillyTheGoat in what looked like —a technique to increase the reputation of their new package by linking it to a popular GitHub library, thus getting associated with its hundreds of stars and forks. pystilez StartJacking Checkmarx this bad actor after finding a W4SP attack in a package called (along with similarly-named variations) that included a Discord server link within their malicious code. The administrator profile linked to a verified Steam account and the name “zeeckt” appeared as one of the attacker’s Steam aliases. has been tracking apicolor also reported that this threat actor was creating fake users by copying the profiles of popular GitHub accounts to increase legitimacy. And one of their victims decided to create warning people about this attack after falling for one of their fake profiles. Check Point a YouTube video A security researcher posted one of zeeckt’s payloads for educational purposes and he received an interesting reply from the co-author of W4SP stealer: How ironic for your stealer to be stolen. The same author, apparently a 17-year-old Python developer, reiterates his frustration in a README file on his GitHub profile: We don’t know exactly what malicious code zeeckt has stolen from other bad actors, but one thing is certain: that name continues to pop up in malware campaigns across open-source registries. Sneakier Variants Gnaw Away at Your Crypto Wealth Carlos recently found four more packages by : , and . After further investigation, he tagged them as malicious and reported them to PyPI to be taken down. The fastest case took about 20 minutes from publication to deletion. zeeckt forenitq forenith , forenity forenitz Looking at in Carlos found the following first-stage payload: setup[.]py forenitq , The attacker creates three temporary files that download and execute Windows binaries from specific URLs using the "start" command. Even though the slugs and are suggestive of malicious intent, we couldn’t confirm that assumption without looking under the hood. /rat /clip At the time of this writing, the page hosted at is still active and it only shows a link to a Discord invite that’s already expired or private. hxxp://20[.]226[.]18[.]203 Carlos noticed that the package was posing as the popular package, using their metadata for a possible StarJacking attempt. Colorama After deobfuscating the RAT file, he found a line that loads a possible clipboard hijacker, but the specifics of it were base64 encoded: Upon decoding, we get a Python code designed to hijack a victim's clipboard to replace the intended cryptocurrency wallet address with the attacker's address: It looks for specified patterns like (bc1), (0x), Monero (4), and l (L or M or 3), and when a pattern is found, it replaces the intended address with the attacker's cryptocurrency wallet address. bitcoin Ethereum itecoin The code uses the library to copy and paste clipboard data. It will install the library if it’s not already installed and then copy the cryptocurrency wallet address to the clipboard. The code is then set on a continuous loop to monitor the clipboard for wallet address patterns. pyperclip Additionally, we uncovered more techniques this RAT mutant uses to evade detection: a first-stage payload added to the file instead of and a second-stage polymorphic payload that changes every time you run the binary. forenitq/ansi[.]py setup[.]py The attacker also added a new command and control with a very complete help menu—and this time se fala português: As you can see, malicious actors are eager to steal your crypto funds and system credentials to further penetrate your infrastructure. Their RAT malware keeps mutating to be more evasive and damaging to developers. So, if you're not safeguarding your software supply chain today, consider taking action to do so as soon as possible. IOCs (Indicators of Compromise) hxxp://20[.]226[.]18[.]203/inject/tCxFLYLT6ViY9ZnP hxxp://20[.]226[.]18[.]203/clip hxxp://20[.]226[.]18[.]203/rat

How RAT Mutants, in Python, Steal Data and Evade Detection

কিভাবে RAT মিউট্যান্ট, পাইথনে, ডেটা চুরি করে এবং সনাক্তকরণ এড়িয়ে যায়

Wie RAT-Mutanten in Python Daten stehlen und sich der Erkennung entziehen

Cómo los mutantes RAT, en Python, roban datos y evaden la detección

Comment les mutants RAT, en Python, volent des données et évitent la détection

पायथन में आरएटी म्यूटेंट कैसे डेटा चोरी करते हैं और जांच से बचते हैं

RATミュータントがPythonでデータを盗み、検出を回避する方法

Python에서 RAT 돌연변이가 데이터를 훔치고 탐지를 회피하는 방법

Como os mutantes RAT, em Python, roubam dados e evitam a detecção

Python'da RAT Mutantları Verileri Nasıl Çalıyor ve Tespitten Nasıl Kaçıyor?

Cách RAT Mutants, trong Python, đánh cắp dữ liệu và trốn tránh sự phát hiện

RAT 突变体如何在 Python 中窃取数据并逃避检测

We all are fortunate to observe the transition from Web2 to Web3 and a change in the paradigm of interaction on the Internet. Company founders, brand managers, marketers and everyone who creates product value now have new approaches to interacting with audiences and building new connections. My name is . I’m the Head of Brand Marketing and Product Marketing Manager and have worked with classic brands and blockchain products. With this article, I want to compare Web2 and Web3 marketing — what is changing and how to work with it. Daria Volkova So, follow me, and I hope this long read will help you to implement new knowledge in practice. Web2 Marketing = Performance Marketing+Sales In the promotion of Web2 products, the tools of performance marketing are most often used. Performance marketing makes all work together, maximizing effectiveness. This approach’s main principles and goals are the return on marketing investments and the increase in sales. advertising channels Features of performance marketing: measurability of the effectiveness of the channels used; assessment of business indicators (CPA, ROI, CAC, LTV); the ability to influence the performance in real-time; synchronization of SEO, SMM, email marketing, and media advertising to achieve results. Performance campaign is measured and tracked using referral links, coupon codes, and individual phone numbers. This method requires extensive setup and careful testing. So, Web2 marketing is focused on paid advertising performance indicators and branding, but PR and ideological components were rarely included in the marketing and sales flow. In most cases, all these directions went in parallel, which is incorrect because it is much more logical to build a system on an ideological basis, combining brand, marketing and sales goals in the strategy. More advanced Web2 marketing came to be called when technology was used to achieve results. For example, Account-Based Marketing, or Big Data tools, help to make a personalized advertising experience for a specific person. Growth Marketing Technologies at the core of Web3 marketing Decentralized technologies, such as blockchain, AI and IoT set Web3 marketing apart from Web2. Blockchain gives the power to tokenize assets, put information on a chain, create a digital identity, and do many projects. Artificial intelligence and the Internet of Things enable brands to be closer to their potential consumers while not directly selling something but adapting to people's lifestyles. The development of the IoT enables more and more devices to connect to the Internet, which means that the need for a decentralized data processing platform is increasing. Web3 marketing is well-positioned to utilize this trend because it can leverage these technologies. In addition to cutting-edge technologies, Web3 marketing is characterized by great attention to growth marketing, PR and community development. I highlighted several main differences between the marketing of Web2 and Web3 projects. To begin with, let’s consider the ideological framework, namely the companies’ mission, values and principles. Ideology & Storytelling in Web3 In the era of Web2, companies often push ideology and storytelling to the background because the conversion indicators of digital advertising came to the fore. Many products were launched to make a quick buck, not to create additional value and emotional customer experience. This approach has never been close to me because I believe meaning and actual value will bring more to the company than direct advertising. To be an outstanding project, you must create and develop a . It should be revealed in the logo, font style, visual design, external communication strategy, and all words and actions of the company. Genuinely successful projects are always based on ideology, values and an understanding of their otherness. unique brand based on a system of values and personalized unique experiences One of my favorite brands is . Their ideological and visual components are so thought out and successfully combined that it gives me a braingasm. Ethereum is like a guide to the decentralized future that everyone can build on the Ethereum blockchain. Ethereum I strongly advise you to study all the components of the Ethereum brand because this is an excellent example. style guide Decentralization and digital economies are the essences of Web3 because they created on the net. The Web3 space is inherently , and anything that contrasts that ethos may be treated as a red flag. Web3 is changing the way of interaction between individuals and companies, pushing values and principles to the front line. allow us to place value on the content open-source The values should be such that you can build a solid foundation on their basis and attract future team members. Also, values will help you in the stage of creating your brand story, so don’t skip this critical part. is essential to humankind — it is how we share experiences, knowledge, and wisdom. It is also because it is how audiences are captivated. Storytelling crucial for branding and reputation Web3 platforms like allow storytellers, publishers, production houses, and NFT projects to publish, manage and distribute multimedia literary content on the blockchain without requiring specific technical knowledge. The number of such interactive platforms will constantly increase. Readl Make PR & Creative great again! Many Web2 companies perceive , which should help sales managers sell more. But this direction is rarely a priority unless the product belongs to the categories of fashion, art, breakthrough startups or something that needs to create news constantly. PR and creative promotion as optional In contrast, PR and the creative component are essential for promoting web3 products. Most projects are startups, meaning from venture funds like a16z, Outlier Ventures, Pantera Capital, and others. Funds, in turn, have minimal time to get to know the team. if they have already heard about you and read about your project in trusted media such as Bloomberg, Coindesk, Cointelegraph, and others. they must attract investments It is much easier to establish contact with investors Also, PR is needed to because we can invest in a project we trust and want to support. Unlike Web2 products, you can become an investor only by purchasing shares of a public company. attract individual investors Time and money spent on PR and communication accelerate the process of decision-making about the support of your project by investors. Web3 gave birth to such phenomena as . (like DOGE or SHIB) are meme-inspired cryptocurrencies. They tend to be compared to major cryptocurrencies like bitcoin (BTC) and ether (ETH). This is likely because meme coins are heavily community-driven tokens., and social media and online community sentiments usually influence their prices. memes coins and fan tokens Meme coins highly volatile are dedicated to favorite sports teams and help them to be a part of the fan community. For example, Binance sponsors the BWT Alpine team in F1. The Alpine team has its fan token, and this token allows fans to donate directly to the team. Also, can access gamification and various goodies. Fan tokens on Binance, owners of ALPINE tokens Tokenomics of meme tokens or fan tokens is entirely dependent on PR. From a creative point of view, Web3 projects have more technological tools for creating campaigns and engaging users or developers than classic businesses. For example, metaverses provide an opportunity to gamify the user experience and make it rich in emotions. In Web3, the level of personalization increases due to the use of algorithms. unique NFT or Artificial Intelligence Web2 companies are now actively using Web3 tools to demonstrate their Many big brands already have blockchain&crypto teams looking for new ways to technological prowess and be in the mainstream. promote the brand and adapt it to the new Web3 reality. Confirmation of the importance of creativity in the marketing of web3 products is who have experience working with advertising and launching creative campaigns. Companies are ready to play the long game and apply tools to create an additional . the growth of vacancies for creative directors and brand marketers emotional attachment to the brand Social networks: for sales or growth? Web2 can be called the period of birth and development of social networks. Facebook, Instagram, Twitter, TikTok, Reddit, YouTube and many others , where each user not only consumes but also creates content, becoming an independent media. spent interacting with the platform and creators have turned the forums of the Web1 era into interactive content Disneyland Attention and time became the main currency. Social networks gave marketers the tools of , which became a game-changing feature at one time. People enthusiastically filled out their profiles, showing the algorithms detailed information about their careers, interests, hobbies, relationships, and favorite foods. Algorithms allow marketers to targeted advertising target advertising messages to specific audiences. With the introduction of the , targeted advertising has become less effective and can no longer clearly distinguish audiences by gender or age criteria. GDPR policy Targeted advertising is replaced by . Account-based marketing, often known as ABM, is a strategy for targeted business expansion in which the marketing and sales departments work together to provide for a predetermined group of high-value clients. ABM is more used in the , where the contract can be discussed for a long time and extremely important warm contacts. account-based marketing individualized purchasing environments B2B direction But Web3 has a slightly different approach to social networks. Social networks friendly to blockchain projects are Also, decentralized social networks on the blockchain are , for example, Twitter, Discord, Telegram, Reddit, and Steemit. actively developing Bluesky Social, Amino, CounterSocial or Mastodon. The other day, news broke that Waze CEO is launching his own decentralized social network . Post will allow you to write and share “posts of any length,” as well as chat and tip content creators. They want to return social networks to their original meaning — to inform people. Post The question of social networks smoothly leads us to build a community. Community building and engagement Web2 marketing strategies usually do not try to build communities because this will not bring significant benefits in promoting the product. When marketing a Web3 project, you must look beyond conventional methods to attract potential users. As than in Web2, lead journeys will evolve accordingly. community takes on greater importance in Web3 First, you must talk with your community members in the A cult-like identity that expresses itself through memes, specialized lingos like WAGMI, odd-looking profile pictures like the BAYC, and a deep longing for “moon” trips. Those elements constitute the unique web3 culture. same language and create a unique inner culture. To boost your chances of getting accepted, you can assist them in carrying out in-depth research about your project by: Consistently engaging them with updates on behind-the-scenes activities. Announcement of project development progress. Getting the community involved in the decision-making about key features or events. Giving them rewards (tokens, branded merch, invitations) for minting NFT or launching your testnet. Making content about your team members. Leaving no questions unanswered and respectfully entertaining feedback. Setting clear goals and objectives from the beginning and being upfront in fulfilling them. Painstakingly explain via long-form articles, interviews, or videos when any critical or unexpected decision is taken. There is a good platform for community reward  — . They are building the most powerful to and You can use it or similar to make your community building easier. Crew3 medium understand, activate grow tokenized communities. Also, creating comics or memes or encouraging community members to create content about your project is a good idea. For example, here is a screenshot from The Comicverse: Or — an informal and adorable symbol of . zkSync community is growing very fast because of the excellent product idea, good PR and very professional actions of the community managers, who know how to constantly warm people's interest. Zeek Cat zkSync Developer Relations Marketing is more relevant than ever Web3 requires . Partnerships and collaborations and the development of relationships with developers who test and implement the technology usually come to the fore. new approaches to scaling is the marketing technique used to ensure that one’s company, products, and developers establish deep, continuous relationships with external developers through mutual communication. According to , the global developer population is expected to reach , an increase of 3.2 million from the number seen in 2020. Developer Relation (DevRel) Statista 28.7 million people by 2024 Developing a blockchain product is impossible without building relationships with developers who will implement the technology and make other products based on it. The most popular blockchains on which most products are made are Ethereum, Polygon, BNB Chain, and Solana. For developers to create products based on the technology, the company must establish a warm relationship with them and encourage them. To do this, DevRel marketers hold meetups and hackathons, educational and entertaining webinars, prepare user-friendly technical documentation, give away merch and much more. A DevRel program may comprise a framework built around some or all of the following aspects: : Outreach and engagement activities to create awareness and convert developers to use a product. Developer Marketing : Product documentation and education resources to aid learning and build affinity with a product and community. Developer Education : Resources like a developer portal, product, and documentation, to activate the developer with the least friction. Developer Experience (DX) : Activities to nurture and retain developers as they build and scale with a product. Developer Success : Nourishes a community to maintain a sustainable program. Community This is a long-time game, and the interaction process is similar to the . That’s why if you want to make your product interesting for developers’ teams, you have to sell it by demonstrating marketing of B2B projects technological and business advantages. Let me know your partner, and I'll tell you who you are—the power of mutual promotion. Marketers of Web2 and Web3 projects love because this is an at the expense of another company and show your product from a new angle. However, partnerships in Web3 are built , and this, in turn, can be the beginning of building an ecosystem. partnerships excellent opportunity to increase your audience not only on ideological compatibility but also on technological compatibility So, before you offer other projects to become your partner and exchange audiences, you should make sure that you are in order with the following: The technical side of the product is excellent, and there, and there have been no reputational losses or were settled by competent communication. Your brand is consistent in terms of mission and vision, as reasonably as it is visually attractive, and the design does not contradict the company's essence. You have the resources to maintain communication at the right level for a long time. You know how to scale the project and grow the community. I like how partners with various blockchain projects. They collaborated with very trusted and well-known blockchain and fintech projects, which increases their visibility and works well to attract a new audience of developers and users. 1inch Also, is once again proving its readiness for large partnerships from the point of view of technology and brand. Almost every week, the CEO of publishes on Linkedin announcements of new partnerships with world-famous brands. Polygon Studios is the team that develops the Polygon ecosystem through various products. In September, they partnered with Starbucks, then collaborated with J.P. Morgan, later a partnership with The Walt Disney Company and announced opportunities to create your own . And in November, the announcement of a , where Polygon will launch an NFT platform for selling virtual clothes. Polygon Polygon Studios NFTs on Facebook and Instagram collaboration with Nike Data collection and ownership in Web2 and Web3 FAANG and other corporations know a lot about users, which cannot be not alarming. Web2 has given businesses It is interesting that Apple caught society’s trend to reduce data transmission and caused trouble for Meta (Facebook) by adding an option to refuse data transmission to applications in the new version of the OS. Now Facebook can’t work with advertising as effectively and is missing out on billions of dollars. unlimited data to use however they want. the election by manipulating public opinion through social media, mainly through Facebook. The company had unlimited access to user data and helped a person with a dubious reputation achieve political goals. Cambridge Analytica helped Trump win Unlike data trading in Web2, the you share on the Internet. solves the issue of data collection by blocking trackers and creepy ads on every website you visit. Web3 approach involves independent control over the data Brave Browser One more project built for privacy on the Internet is . They are working on providing a currency that makes privacy approachable and easy to use while providing the strongest privacy guarantees. Not only is privacy a right, but it also leads to innovation, creativity, and safety. Also, they are working on developing an improved user experience and offering a complete end-to-end product: from the mobile phone wallet to the user’s bank account in a browser tab. Network Iron Fish All this means that in the future, . And for marketers, this means finding new ways of interaction and increasing the importance of a personalized approach to customers — not through intrusive advertising, but through value creation. people can get an individual approach and disclose only the information they want Conclusion So, I’ve outlined the main differences between Web2 and Web3 project marketing that you need to know about if you’re planning to dive into this field. I am sure that the era of Web3 will bring even more new opportunities and help marketers and brand managers to focus on emphasizing the value of technologically robust products. If you liked my article, share it on your social media and follow me on , or Twitter YouTube . LinkedIn

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