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DON'T Install WINDOWS Without Watching This FIRST! In this video, I'll show you how you can use an Answer or (unattend) file during the Windows installation to automate the Windows setup process on Windows 10 and Windows 11. Answer files can be used to automatically debloat Windows 11 and apply customized user settings that saves a lot of time when installing Windows on a lot of computers. 🔗https://github.com/memstechtips/UnattendedWinstall 📌ADDITIONAL RESOURCES: https://youtube.com/playlist?list=PL8RYOts8u1UteSBd48MbiRTPqwL7TILlG&si=4Dpr9xIq2C_D_-6G https://youtube.com/playlist?list=PL8RYOts8u1Ut08krsyq8NYvrY22_PzlGl&si=gcG4CLQE5XBq_M8z https://youtu.be/oWSHLPtAQHQ https://youtu.be/37Xt3TXRUVU 👥 JOIN MY DISCORD COMMUNITY 🔗 https://discord.gg/Z9nUfGmm ✉️ CONTACT ME OR REQUEST A VIDEO 🔗 https://memstechtips.blogspot.com/p/contact-us.html 🌐CONNECT WITH ME 🔗https://linktr.ee/memstechtips 🎓CHECK OUT MY WEBSITE FOR MORE TUTORIALS 🔗https://memstechtips.blogspot.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ DISCLAIMER: This video is for educational purposes only and demonstrates general troubleshooting techniques and procedures. I cannot be held responsible for any damage caused to your computer or software by following these steps. Use this information at your own risk. It is always advisable to seek professional assistance if you are not comfortable performing these procedures yourself. Additionally, some software and tools featured in this video may have specific licensing requirements or limitations. Please ensure you are using them in accordance with their respective terms of use. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #windows10 #windows11

Tutorial on how to set Microsoft Edge as a Default browser on Windows 11.

We test the new Intel Core i3 N305 Alder Lake-N processor and find the astonishing breakthrough performance of the 8x E-core design that laps previous generations. This is a huge upgrade to the Intel Celeron J4125 and Intel N5105/ N6005 processors. STH Main Site Article: https://www.servethehome.com/beelink-eq12-pro-review-intel-i3-n305-alder-lake-n-is-amazing/ STH Top 5 Weekly Newsletter: https://eepurl.com/dryM09 ---------------------------------------------------------------------- Where to Find The Unit We Purchased Note we may earn a small commission if you use these links to purchase a product through them. ---------------------------------------------------------------------- - AliExpress: https://s.click.aliexpress.com/e/_DCJOUAp - Amazon: https://amzn.to/3WOqmqO ---------------------------------------------------------------------- Become a STH YT Member and Support Us ---------------------------------------------------------------------- Join STH YouTube membership to support the channel: https://www.youtube.com/channel/UCv6J_jJa8GJqFwQNgNrMuww/join STH Merch on Spring: https://the-sth-merch-shop.myteespring.co/ ---------------------------------------------------------------------- Where to Find STH ---------------------------------------------------------------------- STH Forums: https://forums.servethehome.com Follow on Twitter: https://twitter.com/ServeTheHome Follow on LinkedIn: https://www.linkedin.com/company/servethehome-com/ Follow on Facebook: https://www.facebook.com/ServeTheHome/ Follow on Instagram: https://www.instagram.com/servethehome/ ---------------------------------------------------------------------- Timestamps ---------------------------------------------------------------------- 00:00 Introduction 01:20 External Hardware Overview 04:33 Internal Hardware Overview 06:35 Performance 10:18 Power and Noise 14:00 Key Lesson: N305 Desktop Performance 15:43 Key Lesson: Crazy Support and Windows 11 Pro Re-install 17:49 Wrap-up ---------------------------------------------------------------------- Other STH Content Mentioned in this Video ---------------------------------------------------------------------- - Beelink SER6 Pro Review: https://youtu.be/FoCDVCkN2ck - Beelink GTR6 Review: https://youtu.be/iaYHtfa1-pY - Minisforum UM690 Review: https://youtu.be/XuguUrA-llg - Beelink GTR5/ GR9 Review: https://youtu.be/plbGmkwWWL8 - Intel NUC 13 Pro vs. ASRock NUC Review: https://youtu.be/nsT2s40s_3k - Intel NUC 12 Pro Wall Street Canyon: https://youtu.be/fZbYSUwvea0 - ASRock BOX-1260P: https://youtu.be/fdnUzEV4PLQ - ASRock AMD Ryzen 7 5800U based NUC: https://youtu.be/oqwnD5zKXqQ - ASUS PN51-S1 Review: https://www.youtube.com/watch?v=F-PrKVKfa2Y - 11th Gen NUC Pro Review: https://youtu.be/pKi2TKhBsuo - 11th Gen NUC Compute Element Review: https://youtu.be/PRCuFrDaql8 - STH Mini PC Playlist: https://www.youtube.com/watch?v=qGKnpARJNmc&list=PLC53fzn9608BEXuRQBb1Fz56TnGOoDmNr - CHUWI RZBOX AMD Ryzen 9 4900H Edition: https://youtu.be/qGKnpARJNmc - Minisforum HX90 Review: https://youtu.be/AAgdROROTfY - Dell OptiPlex 7080 Micro: https://youtu.be/5mTUTX4QNkg - Dell OptiPlex 7000 Micro: https://youtu.be/AQuYhUvQIPQ - Lenovo ThinkStation P360 Ultra: https://youtu.be/E_an5heI1BU HP Project TinyMiniMicro Units - HP Elite Mini 600 G9: https://youtu.be/YP99uBwBXeQ - HP EliteDesk 800 G6 Mini: https://youtu.be/o416e0iyE30 - HP EliteDesk 805 G6 Mini: https://youtu.be/10ccfPU2A0I - HP EliteDesk 800 G4 Mini: https://www.youtube.com/watch?v=QdEf-dXl-_Y

On this episode, Logan Kilpatrick, lead PM for Google's AI Studio, provides a comprehensive demonstration of Google's AI capabilities, focusing on the Gemini models and AI Studio platform. The presentation covers various features including long-context processing, reasoning models, and real-time AI interactions. The discussion emphasizes the platform's accessibility for developers and entrepreneurs, with free API access and tools for building AI-powered applications. Google AI Studio: https://aistudio.google.com Timestamps: 00:00 - Introduction and overview 01:18 - Overview of Gemini and AI Studio 03:40 - Long Context Use Case and Extracting Data from Media 07:05 - Overview of Gemini Models 08:13 - Gemini’s reasoning model demo 12:36 - Spatial Understanding Capabilities 15:23 - Startup Ideas leveraging AI’s Spatial Understanding Capabilities 18:23 - Maps Explorer demo 20:06 - Real-Time Streaming and AI Co-Presence 22:31 - Democratizing Access to Learning Key Points: • Overview of Google AI Studio and its free accessibility • Demonstration of Gemini models' capabilities, including long-context processing • Introduction to the new reasoning model and its advanced thinking processes • Showcase of spatial understanding and real-time AI features • Discussion of business opportunities using these AI tools 1) Google AI Studio Overview: • FREE access to Gemini models • No cost to experiment • Massive context windows (500K+ tokens!) • Multiple model variants (Pro, Flash, Reasoning) • Built-in prompt gallery 2) Mind-Blowing Feature: Long Context • Can process 30-min videos • Extracts detailed information • Perfect for: - Podcast transcription - Video content analysis - Knowledge extraction - Directory building 3) Reasoning Model Capabilities: • Advanced thinking process • Shows "thoughts" before output • 23-sec processing for complex tasks • Perfect for: - Code generation - System architecture - Complex problem-solving Pro Tip: Use it FREE in Cursor AI 4) Spatial Understanding • Real-time object detection • 2D bounding boxes • Multimodal capabilities Business Ideas: - Furniture shopping apps - Inventory management - Parking space optimization - Satellite imagery analysis 5) The Future: AI Co-Presence • Real-time screen analysis • Live conversation • Context-aware assistance • Perfect for: - Pair programming - Learning new software - Technical support - Education 6) Getting Started: • Visit Google AI Studio • Free API keys • 1.5B tokens included • Full multimodal capabilities • Zero economic barrier to entry Notable Quotes: "The reality is the line between building products and almost doing research as even just a user [...] research means you just go play with models and figure out what these things can do." - Logan Kilpatrick "This is probably one of the more mind-blowing AI demos I've seen as of late. When I see this, I see this is the future of work." - Greg LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/ BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK Youtube: https://www.youtube.com/@LoganKilpatrickYT LinkedIn: https://www.linkedin.com/in/logankilpatrick/

New Placement Batch Sigma 3.0 : https://www.apnacollege.in/course/sigma-3 (DSA + Web Development + Aptitude) Link for International students : https://buy.stripe.com/fZeeV64UY8ZMaB28wJ ---------------------------------------------------- Join the Apni Community🔥 : https://telegram.me/+k4rdgTPwmm5kMGVl

Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.com My Links 🔗 👉🏻 X: https://x.com/matthewberman 👉🏻 Forward Future X: https://x.com/forwardfuture 👉🏻 Instagram: https://www.instagram.com/matthewberman_ai 👉🏻 Discord: https://discord.gg/u7wTTGWhuJ 👉🏻 Spotify: https://open.spotify.com/show/6dBxDwxtHl1hpqHhfoXmy8 Check out Alex: https://x.com/The_Alex Media/Sponsorship Inquiries ✅ https://bit.ly/44TC45V Chapters: 0:00 Intro 0:18 ChatGPT Ultrafast 3:09 Claude Watermarks 6:23 xAI Cursor Acquisition 7:10 Grok Bot 8:25 GLM-5.3 9:22 Deepseek-V4-Pro 10:16 Muse Glimmer 11:11 Chat-GPT History Links: https://x.com/paulg/status/2088097078346162399?s=20 https://x.com/cerebras/status/2087961128869748856 https://openai.com/index/previewing-ultrafast/ https://x.com/thsottiaux/status/2084483765158719542 https://support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content https://www.anthropic.com/news/claude-text-watermark https://x.com/cursor_ai/status/2088249881718919393 https://x.com/SpaceXAI/status/2087562800982077492 https://x.ai/bot https://x.com/Zai_org/status/2088132965922476159 https://x.com/deepseek_ai/status/2087864585504305397 https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model https://x.com/OpenAI/status/2087996496088297746 https://x.com/The_Alex/status/2087010197604868158?s=20

Scientists are now combining living human brain cells with silicon chips to build biological computers that can learn in real time. Cortical Labs has neurons playing Pong and Doom, while researchers at UC San Diego and Johns Hopkins are growing brain organoids that learn, remember and raise some uncomfortable questions about consciousness. 📩 Brand Deals & Partnerships: collabs@nouralabs.com ✉️ General Inquiries: airevolutionofficial@gmail.com 📌 What You'll See: 0:00 — Intro 1:17 — UC San Diego grows brain organoids with baby-like electrical activity SOURCE: https://today.ucsd.edu/story/machine-learning-algorithm-cant-distinguish-these-lab-mini-brains-from-preemie-babies 4:24 — Cortical Labs combines living human neurons with silicon chips SOURCE: https://spectrum.ieee.org/biological-computer-for-sale 6:19 — Living human brain cells learn to play Doom SOURCE: https://www.theguardian.com/games/2026/mar/16/petri-dish-brain-cells-playing-doom-cortical-labs 7:01 — Johns Hopkins pushes human brain organoids toward biological computing SOURCE: https://hub.jhu.edu/2023/02/28/organoid-intelligence-biocomputers/ 🚨 Why It's Important: Biological computing takes a completely different path from today’s AI, using living neurons that naturally learn, adapt and consume little energy. Cortical Labs is already putting neurons onto chips, while researchers are scaling brain organoids for learning, memory and drug testing. As these systems become more capable, the line between computing, biology and consciousness gets much harder to define. #ai #biocomputing #cl1

For decades, nuclear fusion was known as the energy source that was always "30 years away." But one company is challenging that belief with a radically different approach that has produced real-world results. In this documentary, we explore the breakthrough technology, the science behind the reactor, and why experts are paying close attention. Could this be the moment fusion finally becomes commercial reality? From billion-dollar investments to engineering challenges and future power plants, discover how one bold company may be reshaping the future of global energy forever.

If you want to join Dr. Chuck's new online offering visit https://django.dr-chuck.com Registration will be open August-October 2026. Welcome back to another Bathrobe Coding session with Dr. Chuck. In this video, I catch you up on what I have been building with AI: a new generation of browser-based autograders for Python, SQL, HTML, CSS, and JavaScript. The Python grader runs student code and unit tests directly in the browser. The SQL grader uses SQLite compiled to WebAssembly, so students can create tables, run queries, and even import or export SQLite databases without sending code to a server. The web grader evaluates HTML, CSS, JavaScript, and accessibility using browser-based tests. The good news: AI helped me build all of this remarkably quickly. The bad news: AI was perfectly happy to repeat similar configuration code across three different autograders. So the main coding problem in this session is refactoring the repeated logic used to resolve an assignment from LTI custom parameters, GET parameters, inherited settings, and stored configuration. The goal is to move that logic into Tsugi as a clean, reusable mechanism without making it overly magical. I also introduce my new Campus-Linked Open Course experiment, which synchronizes an open online Django course with my University of Michigan campus course and gives online students access to office hours and instructional assistants. Learn more about the Django Campus-Linked Open Course: https://django.dr-chuck.com/ Dr. Chuck’s Udemy courses: https://udemy.dr-chuck.com/ Topics covered: • Building autograders with AI • Python unit-test autograding • SQLite and WebAssembly in the browser • HTML, CSS, and JavaScript autograding • Automated accessibility testing • LTI custom parameters and configuration • Refactoring duplicated AI-generated code • Tsugi learning-tool development • Campus-Linked Open Courses • Using AI as a software-development partner