👉 Land the job. Get the promotion. Become a better dev. https://skool.com/amigoscode-academy Spring Security is one of those topics most developers never fully understand - until now. In this updated 2026 crash course, I'll teach you everything you need to get up and running with Spring Security 7 (on Spring Boot 4 and Java 25). We cover the core architecture and the security filter chain, then implement real authentication step by step: Form Login, Basic Authentication, sessions & the JSESSIONID cookie, CSRF, the Authentication Manager & providers, custom UserDetailsService, and password encoding. By the end you'll understand how Spring Security actually works under the hood — and be able to confidently put it on your CV and demonstrate it in interviews. ⭐ Get the full course + diagrams + source code: https://skool.com/amigoscode 💬 Join the free community to ask questions & grab resources: https://skool.com/amigoscode 🧰 Requirements: • Java 25+ • Spring Boot 4 • Spring Security 7 📂 Source code & branches: https://github.com/amigoscode/spring-security ⏱️ *TIMESTAMPS* 00:00 Intro – what you'll learn 00:55 Spring Security architecture & the filter chain 07:14 Spring Security docs & versions (Spring Security 7) 10:49 Course repo & branches walkthrough 12:08 Requirements (Java 25, Spring Boot 4) & running the starter 16:42 Form Login – how it works (diagram) 20:38 Implementing Form Login (SecurityConfig) 27:38 Running the app & testing login 32:31 The JSESSIONID cookie explained 37:45 Storing sessions in Redis / JDBC 43:42 Customizing the login & logout 47:39 Exploring the filters in the source code 51:50 Basic Authentication – how it works (diagram) 56:10 Configuring Basic Auth (stateless + CSRF disabled) 1:01:54 Testing Basic Auth (browser, Base64, curl) 1:14:27 Realm name & WWW-Authenticate header 1:16:30 CSRF explained 1:18:45 Authentication Manager & Provider Manager 1:21:20 Debugging the DAO Authentication Provider 1:28:11 Custom users with UserDetailsService 1:36:11 Why login fails – the password encoder & NoOp 1:42:24 Password encoding & why we never store plain text 1:43:14 Wrap up 🔔 *Subscribe for more backend & security content!* https://www.youtube.com/@amigoscode?sub_confirmation=1 👉 *Land the job. Get the promotion. Become a better dev.* https://skool.com/amigoscode-academy 🤝 *Connect with me* • Skool: https://skool.com/amigoscode • LinkedIn: https://www.linkedin.com/in/nelsonamigoscode • Instagram: https://www.instagram.com/amigoscode • Twitter/X: https://x.com/amigoscode • GitHub: https://github.com/amigoscode #springSecurity #springboot #java

We’ve reached the last day’s assignment! 🎉 All the info about the course will be shared here: https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google/discussion?sort=hotness Complete Unit 5 - “Spec-Driven Production Grade Development in the Age of Vibe Coding”: Listen to the summary podcast episode for this unit. https://www.youtube.com/watch?v=VSRdL4wlbLY To complement the podcast, read the “Spec-Driven Production Grade Development in the Age of Vibe Coding” whitepaper. https://www.kaggle.com/whitepaper-spec-driven-production-grade-development-in-the-age-of-vibe-coding Complete these codelabs: [Optional] Deploy and host your AI agents on Google Cloud https://codelabs.developers.google.com/enterprise-cloud-scale-deploying-the-expense-agent-to-agent-runtime-on-google-cloud#0 [Optional] Build a front-end web app and link it to your cloud-hosted AI agent https://codelabs.developers.google.com/vibecode-frontend-with-antigravity#0 🎮 Join us and other participants on Kaggle’s Discord server: http://discord.gg/kaggle 🔗 Resources & Links: Gemma 4: https://deepmind.google/models/gemma/gemma-4/ Siemens: https://cloud.google.com/blog/products/ai-machine-learning/how-siemens-sliced-the-elephant-modernizing-legacy-code-with-agentic-workflows/

All the info about the course will be shared here: https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google/discussion?sort=hotness Complete Unit 4 - “Vibe Coding Agent Security and Evaluation”: Listen to the summary podcast episode for this unit. https://www.youtube.com/watch?v=Ddz1b8CYPvg To complement the podcast, read the Vibe Coding Agent Security and Evaluation whitepaper. https://www.kaggle.com/whitepaper-vibe-coding-agent-security-and-evaluation Complete these codelabs: Build an expense-approval agent with human-in-the-loop triage and local evaluations with ADK, Agents CLI and Antigravity https://codelabs.developers.google.com/vibecode-ambient-expense-agent#0 Write Secure AI Code: Automated Threat Scans, Safety Guards, and Security Testing https://codelabs.developers.google.com/secure-agentic-coding#0 🎮 Join us and other participants on Kaggle’s Discord server: http://discord.gg/kaggle

All the info about the course will be shared here: https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google/discussion?sort=hotness Complete Unit 3 - “Agent Skills”: 1. Listen to the summary podcast episode for this unit. https://www.youtube.com/watch?v=uYURYHhpmKc 2. To complement the podcast, read the “Agent Skills” whitepaper. https://www.kaggle.com/whitepaper-agent-skills 3. Complete these codelabs on Kaggle: - Explore how Skills work in Antigravity https://codelabs.developers.google.com/getting-started-with-antigravity-skills?hl=en#4 - Build agents in Antigravity with Agents CLI and ADK https://codelabs.developers.google.com/agents-cli-adk-lifecycle#0 🎮 Join us and other participants on Kaggle’s Discord server: http://discord.gg/kaggle

All the info about the course will be shared here: https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google/discussion?sort=hotness Day 2: Agent Tools & Interoperability 1. Listen to the summary podcast episode for this unit. https://www.youtube.com/watch?v=GjjKXqxFTOY 2. To complement the podcast, read the “Agent Tools & Interoperability” whitepaper. https://www.kaggle.com/whitepaper-agent-tools-and-interoperability 3. Complete these codelabs: - Get started with Antigravity CLI https://codelabs.developers.google.com/antigravity-cli-hands-on#0 - Explore Google Developer Knowledge MCP server in Google Antigravity https://codelabs.developers.google.com/developer-knowledge-mcp-antigravity#0 🎮 Join us and other participants on Kaggle’s Discord server: http://discord.gg/kaggle 🔗 Resources & Links: Google Managed MCP Servers Announcement:https://cloud.google.com/blog/products/ai-machine-learning/google-managed-mcp-servers-are-available-for-everyone?utm_campaign=CDR_0xf9030db1_default_b524668347&utm_medium=external&utm_source=blog Supported Google MCP Products (Docs):https://docs.cloud.google.com/mcp/supported-products?utm_campaign=CDR_0xf9030db1_default_b524668347&utm_medium=external&utm_source=blog Google MCP GitHub Repo: https://github.com/google/mcp Codelab - Build an ADK Agent with Google MCPs:https://codelabs.developers.google.com/next26/build-adk-agent-google-mcps?utm_campaign=CDR_0xf9030db1_default_b524668347&utm_medium=external&utm_source=blog#0

Download your free Python Cheat Sheet here: https://realpython.com/cheatsheet Free Python Skill Test with instant level + learning plan: https://realpython.com/skill-test Want to learn faster? Become a Python Expert with unlimited access to 5,000+ tutorials, videos, and exercises: https://realpython.com/start Listen to the full episode at https://realpython.com/podcasts/rpp/295 or wherever you get podcasts -- with Mikiko Bazeley (hosted by Chris Bailey). 🐍 Become a Python expert with real-world tutorials, on-demand courses, interactive quizzes, and 24/7 access to a community of experts at https://realpython.com ▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰ 🐍 Start Here → https://realpython.com/start 🗺️ Guided Learning Paths → https://realpython.com/learning-paths 🎧 Real Python Podcast → https://realpython.com/podcast 📚 Python Books → https://realpython.com/books 📖 Python Reference → https://realpython.com/ref 🧑‍💻 Quizzes & Exercises → https://realpython.com/quizzes 🎓 Live Courses: https://realpython.com/live ⭐️ Reviews & Learner Stories: https://realpython.com/learner-stories ▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰

I Built an AI Resume Agent That Tailors My Resume to Any Job with the new Cursor SDK “Resume Agent” that tailors a resume to a specific job posting via a Chrome extension. From a careers page, the extension extracts the role, company, and job description, sends them to a local API that protects the Cursor API key, and triggers a Cursor cloud agent using the Cursor TypeScript SDK with Composer 2.5. The agent clones a resume repository that contains both the resume and “agent skills” (instruction packs) to compare the posting against real experience, rewrite and reorganize the resume without inventing details, and automatically open a pull request. The PR includes an honest fit report, the tailored resume optimized for ATS, and a change summary explaining edits. The video covers the architecture, skills/guardrails, and the Cursor-based workflow used to build the monorepo (extension + API). Resume Agent - https://github.com/gopinav/resume-agent Resume Agent Skills - https://github.com/gopinav/resume-agent-skills 00:00 Intro 00:20 Demo 00:53 Pull Request Results 01:48 Build Overview 02:24 System Architecture 04:30 Skills And Guardrails 06:28 Planning With Cursor 3 08:22 Reviewing The Plan 10:28 Code Walkthrough 11:05 Cursor SDK 12:29 Beyond Resumes 13:04 Source code Become a job-ready developer with Scrimba https://scrimba.com/paths?via=Codevolution (Save 20% on Pro) Twitter - https://twitter.com/CodevolutionWeb Business - codevolution.business@gmail.com

As you use ChatGPT, it starts to remember details like your birthday or job. It gets to know you better over time, personalizing its responses. #ChatGPT #AI #MachineLearning #PromptEngineering

Tyler and Enmanuel dig into what's new with Claude Opus 4.8. We put the latest features through their paces, including the new workflow capabilities, and build a few exciting things along the way to show what's actually possible now. If you're into web design, AI tools, or just want to see how this stuff holds up in real projects, this one's for you. Hostinger: https://hostinger.com/unlock Enmanuel’s Website: https://icreateyoursite.com/ #ClaudeAI #WebDesign #AITools

Claude Mythos and Claude Fable 5 have been shut down by the US government. Here's why #ai #coding #programming

🔥Enroll for Artificial Intelligence Course: https://intellipaat.com/artificial-intelligence-deep-learning-course-with-tensorflow/ 🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97 AI is already transforming the workplace faster than most people realize. In this video, we explore how AI agents are quietly taking over repetitive tasks, reducing the need for large teams, and reshaping entire industries without obvious disruption. While many people think AI will “suddenly replace jobs,” the reality is more subtle—jobs are not disappearing overnight, but individual tasks are being automated step by step. This shift is happening inside companies right now, often without headlines or public awareness. You’ll learn: ✅ What AI agents are and how they differ from simple chatbots ✅ Why companies are hiring fewer people instead of firing large teams ✅ Which types of jobs and tasks are most at risk from AI automation ✅ The skills that AI still cannot easily replace ✅ How to use AI tools to increase your productivity and career value The biggest shift is not humans vs AI—it’s humans who use AI vs those who don’t. People who learn to leverage AI effectively will become significantly more productive and valuable in the workplace. Instead of fearing AI, the smarter approach is learning how to work with it, automate tasks, and focus on skills like creativity, communication, and decision-making. 📖 Below are the Topics covered in this Video: 00:00 — The Invisible AI Shift Already Happening 00:30 — What AI Agents Really Are 01:10 — AI Agents vs Chatbots Explained 01:45 — How AI Starts Replacing Real Work 02:25 — Why Jobs Are Disappearing Slowly (Not Overnight) 03:05 — Which Jobs Are Most at Risk 03:35 — The One Skill AI Can’t Replace 04:05 — Humans Using AI vs Humans Without AI 04:35 — How to Adapt and Stay Relevant 05:05 — Conclusion #ai #aiagents #futureofwork #artificialintelligence #aijobs #automation ➡️ About the Course: The Artificial Intelligence Course by Intellipaat is designed to help learners master AI, Deep Learning, Generative AI, TensorFlow, CNN, RNN, NLP, and advanced neural network concepts through live sessions, hands-on projects, and industry-focused training. The program includes mentorship from IIT faculty and industry experts from companies like Microsoft and Google, along with practical exposure to real-world AI applications such as image recognition, chatbot development, recommender systems, and object detection. The course also provides Microsoft certification, project-based learning, career guidance, and placement assistance to help students build a strong career in Artificial Intelligence and Machine Learning. ➡️ Key Features of the Course: ✅ Learn from IIT faculty and industry experts from companies like Microsoft and Google ✅ 45+ live instructor-led sessions with 210+ hours of self-paced learning ✅ Hands-on training in Deep Learning, Generative AI, TensorFlow, CNN, RNN, NLP, LangChain, and Computer Vision ✅ Work on 10+ real-world AI projects and industry case studies ✅ Microsoft certification upon course completion ✅ 1:1 mentorship sessions, resume building, and LinkedIn profile review ✅ Dedicated placement assistance with mock interviews and career guidance ✅ 24/7 learner support and access to recorded sessions 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers 📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

For years, IT teams have been forced to manage growing complexity with more tools, more dashboards, and more manual effort. What if AI could help bring all of that together? At Cisco Live, I sat down with DJ Sampath, SVP & GM, AI Software and Platform at Cisco The Ravit Show, to discuss Cisco Cloud Control, AI Canvas, and how AI is changing the way IT teams operate. A few key insights from our conversation: - Operational fragmentation continues to be one of the biggest challenges for enterprise IT teams - Cisco Cloud Control is focused on providing a more unified way to manage increasingly complex Cisco environments - AI Canvas is designed to be more than an assistant. It introduces an agentic workspace where people and AI can work together to solve problems - Some IT challenges are too complex for a single tool or a single person. A collaborative, multiplayer approach can help teams move faster and make better decisions - The future of IT operations may be less about navigating dashboards and more about orchestrating outcomes with AI-powered systems One thing that stood out to me: The conversation around AI is shifting from answering questions to helping teams take action. That's a very different future than the one many organizations are planning for today. Great discussion with DJ on what AI-native platforms could mean for enterprise operations over the next few years. #data #cisco #ciscolive #ai #theravitshow

Get started with Agentspan! https://agentspan.ai/?utm_campaign=YouTube-Tim&utm_source=Newsletter&utm_medium=email Most AI agent tutorials show you demos that fall apart the moment you try to run them in the real world. This full course is different — we'll build three agents from scratch in Python, and every single one is designed to actually work in production. 🚀 Tools I Use Get 10% off with code techwithtim Openclaw setup: https://www.hostinger.com/techwithtim VPS setup: https://www.hostinger.com/techwithtim10 Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jun26 🎞 Video Resources 🎞 Finished Code (GitHub): https://github.com/techwithtim/Agentspan-Course Agentspan GitHub: https://github.com/agentspan-ai/agentspan/tree/main/deployment/docker-compose Agentspan Docs: https://agentspan.ai/docs/why-agentspan/ ⏳ Timestamps ⏳ 00:00:00 | Overview/Intro 00:01:00 | Problems with Running Agents 00:02:04 | What we Need for Production 00:02:45 | Agentspan Framework 00:04:50 | Agentspan Architecture 00:06:04 | Install/Setup 00:12:00 | Agent 1 - Memory & Basic Tools 00:28:36 | Agent 2 - RAG, Guardrails and HIML 00:57:53 | Agent 3 - Multi-Agent Orchestration 01:11:04 | Testing Agents 01:12:52 | Durable Execution 01:17:18 | Deplyment Overview Hashtags #Agentspan #Orkes #Python #AIAgents UAE Media License Number: 3635141

Claude Fable 5 costs 2x more than Opus, so you probably don’t want to use it for everything. Here’s how I’d get the most out of it: 1. Use Fable to plan 2. Let Sonnet 4.6 handle the build 3. Give Fable goals, not step-by-step instructions 4. Give it a clear success and failure checklist 5. Bring Fable back to review the work and write learnings into a file for next time The workflow is simple: Fable plans. Sonnet builds. Fable reviews. Fable saves what it learns. Since Fable is only available until June 22, use it now to audit codebases, plan app ideas, and lock in the expensive thinking while you can. Then execute later with a cheaper model. Follow for more AI coding workflows. Become an AI Engineer with Scrimba https://scrimba.com/t0ai?via=Codevolution (Start Free, save 20% on Pro) Twitter - https://twitter.com/CodevolutionWeb Business - codevolution.business@gmail.com

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.me/papers 📝 The paper is available here: https://recursivemas.github.io/ https://github.com/RecursiveMAS/RecursiveMAS Brain reading video: https://www.youtube.com/watch?v=IUg-t609byg 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi

Learn more: https://bit.ly/4vPQ3HE Voice is one of the most natural human interfaces, but adding it to AI applications has historically forced a tradeoff: fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text-to-LLM-to-speech pipelines that add latency. This course teaches you how to get both, using Vocal Bridge's architecture that pairs a real-time foreground agent with a reasoning background agent. Taught by Ashwyn Sharma, CEO and Co-Founder of Vocal Bridge (an AI Fund portfolio company), this course covers three practical integration patterns that meet you where you are: voice embedded in an application, voice layered onto an existing agent without touching its logic, and voice as a tool your LLM can call when it decides a conversation is the right modality. In detail, you'll survey the traditional voice stack and its tradeoffs, then explore three live integration patterns to understand when each one applies. Build a voice-interactive tic-tac-toe game where voice commands and mouse clicks work together over a single synchronized channel, then add a voice layer to an existing agent with minimal code, leaving your prompts, RAG pipeline, and tools untouched. Give your agent a make_phone_call tool so it can dial a real number, hold a conversation with a demo agent, and stream the transcript back live. Set up evaluation-driven development using Vocal Bridge's multimodal evaluator to score calls, catch regressions, and refine prompts before issues reach users. Hear from Scott Johnston, former CEO of Docker and Vocal Bridge board member, on what it actually takes to move voice agents from demos to production. By the end of this course, you’ll have implemented three hands-on voice AI patterns: adding voice to an interactive app, layering voice onto a text-based agent, and giving an agent the ability to place outbound calls. You’ll also know how to evaluate and improve voice interactions. Enroll here: https://bit.ly/4vPQ3HE

actually I love this idea, would make it very easy for ai agents to know how to build better experiments.

A few years ago, turning an idea, a passion of yours, into a website was a complex thing to do. You needed backend code, frontend code, databases, authentication, deployment. But today, things are different. Today, we have Replit, where your creativity can run without limits. --- Get $10 worth of FREE credits: https://replit.com/refer/garysimsaa?trackingContext=universal-settings-modal #garyexplains

Anthropic just shipped the most powerful model they've ever released to the public: Claude Fable 5. A Mtyhos-level model. It broke coding benchmarks (around 80% on SWE-Bench Pro vs GPT-5.5's 58), and did a 50-million-line code migration in a single day. But there's a catch: Fable 5 is really their secret "Mythos" model with a leash on it, and the most jaw-dropping numbers you've seen belong to a version you can't actually buy. In this video I break down what Fable 5 really is, the benchmarks vs GPT-5.5, Opus 4.8 and Gemini 3.1, the safety filters that are blocking doctors and security engineers, the price, and why "the model you read about isn't the model you can use." 📘 Want to actually understand how models like this work and how to build with them? Get my book, Get Insanely Good at AI: https://getaibook.com 💬 What's your read: responsible release, or warning-while-selling? Drop a comment. 👍 Like and subscribe for more AI engineering breakdowns. #ClaudeFable5 #Anthropic #AInews #Claude #AIengineering

I've been on a cancellation spree lately. There are tools I was paying for monthly that I realized I could just build myself, better, more specific to what I actually need, and free to run after the initial build. The one that started it was accounting software. I was paying for something that handled maybe 80% of what I needed, and the other 20% was always a workaround. So I built my own using open-source AI, hosted locally. And then I started looking at everything else the same way. What am I paying for that's only 80% of what I need? What's too specific for any company to build for me? The answer was more things than I expected. Local agents are more accessible than people think right now. You don't need a huge technical background to get started. And the privacy angle alone, keeping your data on your own machine, is worth it for certain workflows. What's a subscription you have that you've thought about replacing? Drop it in the comments 👇

Checkout https://inapp.app/hitesh/insforge as a resource used in this video. We have built https://agenticoverflow.ai/ in this video. Here is an interesting experiment, I tried to build an entire startup, the modern age, agent first AgenticOverflow (yes, inspired by Stack Overflow) and asked Opus 4.8 to build it for me with Agent First backend, InsForge. You can see the whole journey and result in this video. Welcome to a youtube channel dedicated to programming and coding related tutorials. We talk about tech, write code, discuss about cloud and devops. That’s what we do all day, all year. Get all source code for react application: https://github.com/hiteshchoudhary/react-english All source code is available at my Github account: https://github.com/hiteshchoudhary Our Open-Source Project is here: https://freeapi.app Join me at whatsapp: https://hitesh.ai/whatsapp for community discord: https://hitesh.ai/discord Instagram pe yaha paaye jaate h: https://www.instagram.com/hiteshchoudharyofficial/ Learn React with 10 projects: https://www.youtube.com/watch?v=eCU7FfMl5WU&list=PLRAV69dS1uWQos1M1xP6LWN6C-lZvpkmq Learn Docker: https://youtu.be/rr9cI4u1_88?si=fSK00PNOt0gqBXp6 Learn Kubernetes: https://www.youtube.com/watch?v=7XDeI5fyj3w How does a browser works: https://youtu.be/5rLFYtXHo9s?si=UW1HrwGUzkk4E7qh How nodejs works: https://youtu.be/ooBxSg1Cl1w?si=Ks6Wih1smJZSDz4V Learn Redux-toolkit: https://www.youtube.com/watch?v=pX0SBJF01EU Learn NextJS: https://www.youtube.com/watch?v=iPGXk-i-VYU&list=PLRAV69dS1uWR7KF-zV6YPYtKYEHENETyE Learn Typescript: https://www.youtube.com/watch?v=j89BvWz8Eag&list=PLRAV69dS1uWRPSfKzwZsIm-Axxq-LxqhW Learn Javascript: https://www.youtube.com/watch?v=2md4HQNRqJA&list=PLRAV69dS1uWSxUIk5o3vQY2-_VKsOpXLD Learn React Native: https://www.youtube.com/watch?v=kGtEax1WQFg&list=PLRAV69dS1uWSjBBJ-egNNOd4mdblt1P4c Learn Zustand: https://www.youtube.com/watch?v=KCr-UNsM3vA&list=PLRAV69dS1uWQMXekDgw7fRAsHmsbKWkwu Learn Golang: https://www.youtube.com/watch?v=X4q1OM0voO0&list=PLRAV69dS1uWSR89FRQGZ6q9BR2b44Tr9N

In this episode of the ODSC Ai X Podcast, Sheamus McGovern speaks with Maxime Beauchemin and Evan Rusackas from Preset about Generative UI and the future of agentic analytics. Maxime Beauchemin is the creator of Apache Superset and Apache Airflow, and the founder and CEO of Preset. Evan Rusackas leads developer relations and marketing at Preset and works closely with the Apache Superset community. The conversation explores how AI agents are beginning to generate charts, dashboards, widgets, and interfaces on demand. Max and Evan also discuss MCP, agentic analytics, the changing role of data analysts, governance, evals, and how open-source BI tools like Apache Superset are adapting to the AI era. Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai To watch more videos like this, visit https://aiplus.training Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow us online! • Facebook: https://www.facebook.com/OPENDATASCI • Instagram: https://www.instagram.com/odsc/ • Blog: https://opendatascience.com/ • LinkedIn: https://www.linkedin.com/company/open-data-science/ • X (twitter): https://x.com/_odsc

Cisco Cloud Control puts everything in one place — and now AI agents are actually doing the work. GO CHECK IT OUT: https://ntck.co/ciscocloudcontrol #sponsored @Cisco

For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai Follow along with the course schedule and syllabus, visit: https://cs153.stanford.edu/ In a CS153 Frontier Systems lecture, OpenAI CEO Sam Altman returned to Stanford — where he taught the iconic CS183 How to Start a Startup in 2014 — to reflect on how radically the startup playbook has changed in the AI era, noting that a founder can now accomplish with tokens what once required a hundred-person engineering team. Drawing on his core empirical conviction that scale reliably produces emergent properties beyond what consensus expects, Altman walked through the origin stories of both ChatGPT (a research demo that went unexpectedly viral, triggering a five-day "good emergency" that forced OpenAI to build a company and product simultaneously) and Codex (the coding bet that predated ChatGPT and finally hit its inflection point with 5.5), arguing that the current pre-training/post-training/RL pipeline will likely require a fundamental rewrite — one he expects AI itself to design. He framed intelligence as a nascent utility analogous to electricity, wrestling with how to make that concept legible to the world the way early power companies sold "light at night" rather than electricity itself, and warned that the most important unresolved fork ahead is whether this technology gets democratized broadly or concentrates in a handful of companies — a risk he put at roughly 20% probability, and one he argued is more dangerous than most safety concerns. He closed by flagging compute shortage as an underappreciated live crisis, suggesting that as long as AI keeps improving, demand will structurally outpace supply, and urging students to consider working on inference infrastructure as one of the most underleveraged bets in the field. Sam Altman is the co-founder and CEO of OpenAI, the AI research and deployment company behind ChatGPT. He helped launch OpenAI in 2015 with the goal of ensuring artificial general intelligence benefits all of humanity. Before OpenAI, Sam served as president of Y Combinator.

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Here, Lake Dai of Sancus Ventures and CMU explores the evolving relationship between humans and AI, the decline in junior developer roles, and the rise of super engineers. Want to learn more about AI in person? Check out ODSC AI West 2026, coming to Burlingame this October 27th-29th: https://hubs.li/Q04cYsmk0 #DataScience #AI #ArtificialIntelligence #ODSCAI ------------------------------------------------------------------------------------------------------------- Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai To watch more videos like this, visit https://aiplus.training Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow us online! • Facebook: https://www.facebook.com/OPENDATASCI • Instagram: https://www.instagram.com/odsc/ • Blog: https://opendatascience.com/ • LinkedIn: https://www.linkedin.com/company/open-data-science/ • X (twitter): https://x.com/_odsc

In this YouTube video, we delve into the intriguing world of DevOps and its impact on automation in modern software development. Join us as we explore how DevOps is reshaping the way teams collaborate, deploy, and manage software projects efficiently. Whether you're a seasoned developer or just starting in the tech industry, understanding the core principles of DevOps is crucial for staying ahead in today's fast-paced IT landscape. Share your thoughts in the comments below and let's spark a conversation about the future of DevOps and automation in software engineering!

LINKS: - https://cline.gg/alex - https://go.dev/doc/go1compat - https://packagemain.tech - https://discord.gg/fJQa3xr3fe TIMESTAMPS: 00:00 Intro 02:05 AI Native languages 03:55 stdlib 05:46 Go 1 compatibility promise 07:22 Sponsor - Cline 09:00 go fmt 09:38 Cross-compilation 10:22 Error handling 11:17 Concurrency 11:50 Conclusion

My take on the possible future of home computing, based on increased component integration, the rise of the agentic command interface (ACI), and increasingly hardware transparency. My recent, related video on “Agentic AI: The Good, the Bad & the Ugly” is here: https://www.youtube.com/watch?v=Gvt4TwGpqOs And all of my videos on the potential future of computing can be accessed via this page: https://www.explainingcomputers.com/future_computing.html More videos on computing and related topics can be found at: http://www.youtube.com/@ExplainingComputers And more videos on film and other making, plus retro tech, can be found on my Christopher Barnatt channel: http://www.youtube.com/@ChristopherBarnatt Chapters: 00:00 Titles & Intro 00:43 Component Integration 06:56 From GUI to ACI 10:45 Transparent Computing 16:08 Radial Change? #Future #home #computing #agentic #integration #SiP #transparent #ExplainingComputers

I gave an AI my voice, asked it to write a country breakup song about dumping a developer, and shipped it in 8 minutes. Here's how, plus the ML that makes it possible in 2026. 🎵 Listen to "Sound of Losing You" on Spotify: https://open.spotify.com/album/3DQZtFYzuHWxUJyLJ5tFlX 🎤 Try Fish Audio S2 Pro free: https://fish.audio/?fpr=siraj80 - code SIRAJ20 for 20% off 💻 Fish Audio is open source: https://github.com/fishaudio/fish-speech Chapters: 00:00 The AI Country Song 00:21 A Brief History of AI Voice 01:51 Fish Audio S2 Pro + Emotion Control 02:44 Cloning My Voice (Tutorial) 04:23 Adding Emotion, Line by Line 05:17 Inside the Model: How It Works 07:15 Writing the Country Breakup Song 07:58 Stitching It in CapCut 08:48 Uploading to Spotify 09:01 Make Your Own + What's Next This video is sponsored by Fish Audio. The voice and song are AI-generated; all opinions are my own. 📬 CONTACT Business: hello@sirajraval.com 📲 FOLLOW X: https://x.com/sirajraval Instagram: https://instagram.com/sirajraval LinkedIn: https://linkedin.com/in/sirajraval 🔔 Subscribe for more AI videos! #AI #VoiceAI #FishAudio #AImusic #AIcountrysong

Last 5 days left. Super excited to launch our new Bootcamp 3.0 Agentic AI Specialization With AgentOps From June 21st 2026. Happy Learning!!! Visit : https://www.krishnaik.in/liveclass2/AgenticAi?id=11 📞 Have questions or need guidance? Reach out to Krish Naik's counselling team: +91 91115 33440 +91 84848 37781

All the info about the course will be shared here: https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google/discussion?sort=hotness Day 1: Introduction to Agents Complete the Unit 1 – “Introduction to Agents”: 1. Listen to the summary podcast episode for this unit – https://youtu.be/cbzmr7vt4XA 2. To complement the podcast, read the “The New SDLC With Vibe Coding ” whitepaper: https://www.kaggle.com/whitepaper-the-new-SDLC-with-vibe-coding 3. Complete these codelabs on Kaggle: a. Get started with Antigravity 2.0 and IDE:p https://codelabs.developers.google.com/getting-started-google-antigravity#0 b. Build a Web Application in AI Studio and Deploy to Cloud Ru:p https://codelabs.developers.google.com/deploy-from-aistudio-to-run?hl=en#0 🎮 Join us and other participants on Kaggle’s Discord server: http://discord.gg/kaggle Read the DeepMind paper on AlphaEvolve: https://deepmind.google/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/ Learn about Long Running agents in this episode of Google cloud’s agent factory: https://www.youtube.com/watch?v=VGpfnbr7rso Start building stateful AI agents with the Agent Development Kit (ADK):https://developers.googleblog.com/build-long-running-ai-agents-that-pause-resume-and-never-lose-context-with-adk/?utm_campaign=CDR_0xf9030db1_default_b524246263&utm_medium=external&utm_source=youtube Check out the open-source Google Skills project on GitHub: https://github.com/google/skills Read the guide on accelerating your TensorFlow to JAX migration:https://cloud.google.com/blog/topics/developers-practitioners/6x-faster-migration-from-tensorflow-to-jax?utm_campaign=CDR_0xf9030db1_default_b524246263&utm_medium=external&utm_source=youtube

AI agents are not replacing people. They're becoming part of the workforce. At Databricks Data + AI Summit, I spoke to my very good friend, Robin Sutara, Americas AI Capability Leader at Databricks, for a conversation on what it really takes to build an AI-enabled organization. One insight that stood out: AI agents should be treated like interns. They need context. They need clear tasks. They need feedback. Without those three things, even the best AI systems struggle to deliver value. We also discussed: -- How leading organizations are building a builder culture around AI -- Moving beyond simple automation to drive real operational productivity -- Why companies need to rethink workflows instead of automating broken processes -- The balance between governance, security, and innovation -- How tools like Genie and Databricks Assistant are making data and AI accessible to everyone, not just Python developers -- What it takes to scale AI adoption across the enterprise The companies seeing the biggest results are not just deploying AI. They are redesigning how work gets done. The full interview is now live. #Databricks #DataAISummit #AI #GenerativeAI #AgenticAI #DataAndAI #EnterpriseAI #TheRavitShow

3 Advanced AI agent design patterns → https://goo.gle/4uOvHxT Move beyond stateless chatbots and learn about building long-running AI agents capable of managing multi-day workflows. Watch along as the author of Beyond Vibe Coding, Addy Osmani, breaks down the three core architectural requirements for production grade long-running AI agents: event-driven dormancy, durable checkpointing, and separated evaluation. Watch more The Agent Factory: Developer Power-Ups → https://goo.gle/Supercharge-Devs 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #DeveloperPowerUps Speakers: Addy Osmani Products Mentioned: Agent Development Kit

Arvind explains why AI agents introduce new enterprise risks around data access, identity, prompt injection, and recovery, and how Rubrik is approaching agentic AI security through dynamic governance, fine-grained recovery, and internal AI adoption with tools like Claude Code and Claude Cowork. Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai To watch more videos like this, visit https://aiplus.training Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow us online! • Facebook: https://www.facebook.com/OPENDATASCI • Instagram: https://www.instagram.com/odsc/ • Blog: https://opendatascience.com/ • LinkedIn: https://www.linkedin.com/company/open-data-science/ • X (twitter): https://x.com/_odsc

Data + AI Summit by Databricks is in full swing!!!! Just finished talking with Steven Touw, CTO at Immuta, on The Ravit Show, about one of the problems nobody is talking about yet but everybody will be talking about in six months. The problem: an AI agent needs access to data inside your Databricks lakehouse. What do most enterprises do right now? They plug in the agent with a user’s OAuth token. The agent inherits everything that user can access. Simple. Done. Here is what actually happens next: the agent now has a user’s full permissions. If the agent gets compromised, your data does too. If the agent runs a query you did not intend, it looks like that user ran it. If you need to revoke access, you have to revoke the whole user. The audit trail tells you a person did the work when a machine did it. Steve calls this the authentication-authorization gap for agents. Everyone is solving for “can the agent prove who it is” and ignoring “can we control what it actually does.” The alternative is what he calls “on behalf of” access. The agent can act on behalf of a user but does not inherit their full permissions. It gets a scoped token. It can only touch the specific tables and columns it needs. It can only do the operations it was designed to do. If it breaks, the damage is bounded. The audit log is honest. Revocation is surgical. This is not an Immuta problem. This is a security architecture problem that every company building production agents needs to solve right now. Watch the full conversation in the video below. This is the kind of problem that separates the companies shipping agents safely from the ones that are going to have a very bad incident next year. #data #ai #access #security #databricks #api #immuta #theravitshow

Build long-running AI agents tutorial → https://goo.gle/4omygFD GitHub repo → https://goo.gle/3QlK4LA Master the long-running agent pattern with this open source Agent Development Kit (ADK) tutorial designed for building stateless, event-driven AI systems. Join the author of Beyond Vibe Coding, Addy Osmani, as he explains how a coordinator agent utilizes multi-agent delegation to pass specialized tasks to sub-agents while maintaining a perfectly clean reasoning chain. Check out the repository and tutorial linked above and get started today. Watch more The Agent Factory: Developer Power-Ups → https://goo.gle/Supercharge-Devs 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #DeveloperPowerUps Speakers: Addy Osmani Products Mentioned: Agent Development Kit

Super 30 ( 3.0 ) Online : https://pages.razorpay.com/super30-3.0-online Slides link: slides - https://canva.link/ymdfcwub0w6s1ah Github code link: In this deep-dive session, Harkirat takes you through how modern AI coding agents like Claude Code, Codex, and OpenCode actually work under the hood. You'll learn the fundamentals of LLMs, system prompts, tool calling, agent loops, terminal agents, and the architecture that powers today's most advanced coding assistants. Using real-world examples and code walkthroughs, the session breaks down complex concepts into simple, intuitive explanations. By the end, you'll have a clear understanding of how to build your own terminal-based coding agent from scratch and what makes modern AI agents so powerful. Checkout: https://blogs.oracle.com/developers/what-is-the-ai-agent-loop-the-core-architecture-behind-autonomous-ai-systems 🔗 𝗟𝗶𝗻𝗸𝘀: Open Source Cohort → https://100xdevs.com Twitter → https://twitter.com/kirat_tw Linkedin → https://linkedin.com/in/kirat-li Instagram → https://www.instagram.com/kirat_ins Discord → https://discord.com/invite/WAaXacK9bh Telegram → https://t.me/kirat_internal_group WhatsApp → https://whatsapp.com/channel/0029Va98SYeHrDZhfxCT6s0a

Check the Full Video 👉 https://jsm.dev/jobpilot

Check the pinned comment for the link to the full interview. Could AI agents eventually become the "Games Master" driving your gaming storylines? We explore the concept of AI assisting players or creating dynamic, non-scripted narratives. Discover how AI is currently being tested inside immersive game environments to change how we play. 🧠 Hashtags: #aiingames #gaming #ai #gamedev #futuretech

Article link: https://fandf.co/4dXJP1m Checkout Oracle Blogs: https://blogs.oracle.com/ Every AI agent Cursor, Claude, Devin runs the same core loop. If you're building anything agentic in 2026 and don't understand it, you're going to waste weeks debugging the wrong thing. Full engineering breakdown from Oracle's dev team linked in pinned comment. @oracledevs #Paid partnership with Oracle 🔗 𝗟𝗶𝗻𝗸𝘀: Open Source Cohort → https://100xdevs.com Twitter → https://twitter.com/kirat_tw Linkedin → https://linkedin.com/in/kirat-li Instagram → https://www.instagram.com/kirat_ins Discord → https://discord.com/invite/WAaXacK9bh Telegram → https://t.me/kirat_internal_group WhatsApp → https://whatsapp.com/channel/0029Va98SYeHrDZhfxCT6s0a

🐙 Free 28-Day AI Sprint Roadmap - pick your goal to get a clear, day-by-day path forward 👉 https://www.lonelyoctopus.com/ai-sprint-roadmap 🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

AI Engineering Cohort: https://aiengg.dev/ Github resources: https://github.com/InterviewReady/ai-engineering-resources On 6th June 2026, we are launching our first AI Engineering Cohort. A focused, intense 8-week program for software engineers who want real, production-grade AI skills. More details coming soon. Cheers!

Learn more about Stanford's online Healthcare AI programs: https://stanford.io/3NEt7uE Check out the AI in Healthcare series playlist:https://stanford.io/3NEt7uE Matt Lungren, Stanford University - https://profiles.stanford.edu/matthew-lungren Justin Norden, Stanford University - https://profiles.stanford.edu/justin-norden Guest speaker: DJ Patil, former US Chief Data Scientist and Health Tech Entrepreneur This episode of the Stanford Healthcare AI podcast explores how AI is transforming healthcare security, policy, and patient empowerment. The guest, DJ Patil, former U.S. Chief Data Scientist and health tech entrepreneur, warns that hospitals are “sitting targets” for cyberattacks from nation-states using even “dumb” AI models. They discuss gaps in U.S. cybersecurity ownership, the need to treat healthcare as critical infrastructure, and the risks of ransomware-style “terrorism.” Balancing this, they highlight the explosive growth of tools like Open Evidence and GPT for clinicians, rising patient engagement, and the moral question of whether powerful AI should be gated or widely accessible.

This is not about Anthropic. We don't want this to be the new bar. The government being able to just pull something away from millions of people with no explanation.

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FREE Web Dev Roadmap: https://webdevsimplified.com/web-dev-roadmap.html?utm_source=youtube&utm_medium=video-description&utm_term=video-id-cxQLKsktiBA Writing code with AI can be frustrating since AI always seems to generate terrible code. In this video I will show you how you can fix this problem by using AI skills which teach your AI the exact techniques needed to produce high quality code exactly like you want it. 📚 Materials/References: My Blog: https://blog.webdevsimplified.com/?utm_source=youtube&utm_medium=video-description&utm_term=video-id-cxQLKsktiBA FREE Web Dev Roadmap: https://webdevsimplified.com/web-dev-roadmap.html?utm_source=youtube&utm_medium=video-description&utm_term=video-id-cxQLKsktiBA 🌎 Find Me Here: My Blog: https://blog.webdevsimplified.com My Courses: https://courses.webdevsimplified.com Patreon: https://www.patreon.com/WebDevSimplified Twitter: https://twitter.com/DevSimplified Discord: https://discord.gg/7StTjnR GitHub: https://github.com/WebDevSimplified CodePen: https://codepen.io/WebDevSimplified ⏱️ Timestamps: 00:00 - Introduction 00:55 - What are skills 02:58 - How to find skills 08:53 - How to make your own skills 17:49 - Skill creation best practices 22:44 - My custom skill example 27:04 - How to refine skills #WebDevelopment #WDS #AISkills

Github repo → https://goo.gle/3RQR3g7 Google MCP servers → https://goo.gle/4xfafo8 Model Context Protocol (MCP) is the open standard *"universal adapter"* that empowers AI agents to overcome static training data by securely and uniformly connecting with the real world's live data and actionable tools. Join Smitha Kolan as she demonstrates how to connect external tools, such as Google Trends, using MCPs with AI agents. Watch along and unlock the power of Model Context Protocol (MCP) with Google's Agent Development Kit (ADK). Chapters: 0:00 - Intro & What is Model Context Protocol (MCP)? 0:49 - How MCP works under the hood 2:41 - [Demo] Connecting Google Trends with a blog writing AI agent 6:22 - Running the agent in ADK Web UI 7:10 - Summary More resources: Google Cloud MCP servers docs → https://goo.gle/4oeVaPk Manage MCP servers docs → https://goo.gle/3PLKtqG Configure MCP in an AI application → https://goo.gle/4oab6lP 🔗 Connect with Smitha online: YouTube → https://goo.gle/Smitha-on-YouTube Linkedin → https://goo.gle/Smitha-on-LinkedIn X → https://goo.gle/Smitha-on-X Watch more Modern AI Agents: From Theory to Production → https://goo.gle/Learn-with-Smitha 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #AIAgents #GoogleTrends Speakers: Smitha Kolan Products Mentioned: Agent Development Kit