Atul

Want real AI news, not recycled hype? Follow these YouTube channels 👇 1. AI Explained (@aiexplained-official" target="_blank" rel="nofollow noopener">youtube.com/@aiexplained-o…) 2.Matt Wolfe (@mreflow" target="_blank" rel="nofollow noopener">youtube.com/@mreflow) 3.Two Minute Papers (@twominutepapers" target="_blank" rel="nofollow noopener">youtube.com/@twominutepape…) 4.Yannic Kilcher (@YannicKilcher" target="_blank" rel="nofollow noopener">youtube.com/@YannicKilcher) 5.DeepLearningAI (@Deeplearningai" target="_blank" rel="nofollow noopener">youtube.com/@Deeplearningai) 6.ColdFusion (youtube.com/coldfusion) 🔁 RT for more AI signal, less noise

Today we welcome MacBook Neo, now available together with the new iPhone 17e, iPad Air, MacBook Air, MacBook Pro, and the Studio Display family.

Home Hero 🇦🇺🤝 #F1 #AusGP

This is how the frantic race start unfolded in Albert Park! 🙌💨 #F1 #AusGP

MEGA MEGA START FROM CHARLES. HE IS THE FIRST DRIVER TO HAVE LEAD A LAP IN THIS NEW ERA #F1 #AusGP x.com/sharr_vids/sta…

5.4 sooner than you Think.

📍 AI is not creating roles. It is redistributing organizational power. As Gartner highlights the proliferation of AI-specific titles across management, business, and technical layers, the implication is structural reallocation of authority, not hiring expansion. 1️⃣ Competitive Shift AI leadership roles formalize decision rights around data, automation, and model governance at the executive level. 2️⃣ Structural Blind Spot Many firms treat AI hires as additive specialists while leaving reporting lines, incentives, and budget control unchanged. 3️⃣ Strategic Risk If AI authority remains fragmented across silos, the organization builds capability without consolidating control, slowing value capture. This is not about job titles. It is about who owns decision power in an AI-native enterprise. Are you adding AI roles, or redesigning your power structure around them? Credit: gartner.com and Bot Nirvana @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @ricardo_ik_ahau @VivMilanoFSL @xavierquerat @WillyRayNick @StrategyNDigita @quepasachico @bulbi59 @BulbiT3ch @bbailey39 @sulefati7 @BCAgroup @negimagurott @CRudinschi

Total Lunar Eclipse 2026 (Blood Moon) Shot from Sydney See you again in 2028

🚨 This AI Agent DOC can save you 100+ hours of confusion. Everyone wants to learn AI Agents... But 90% people get stuck between random YouTube videos, GitHub repos & scattered threads. So I did the hard work for you. I spent weeks curating the complete AI Agent learning roadmap — 📚 LLM basics 🤖 Agent frameworks 🛠️ MCP, ReAct, Toolformer 📄 Research papers 📦 GitHub repos 📘 Books & guides Everything in ONE clean document. If you bought all these resources, the value is easily $500+ But I’m giving it FREE to the first 4,500 people. No fluff. No gatekeeping. Just pure value. To get it: 1️⃣ Follow me (so I can DM you) 2️⃣ Comment DOC 3️⃣ Like + RT to help others Let’s build real AI Agents in 2026

OpenAI expects to spend about $600 B on compute by 2030 while forecasting $280 B in revenue. Its 2025 revenue already hit $13 B. This shows how capital intensive frontier models are and why efficiency and funding partnerships like those with Nvidia and SoftBank matter.

Ant Group’s AI health app AQ hit 100 M users. People use it for health queries, skin analysis and voice consultations. It ranks first on China’s App Store. Over half of new users came from smaller cities, signalling AI powered healthcare going mainstream.

New from Anthropic: Claude Code Security scans your repo like a seasoned researcher. It maps data flows, surfaces subtle bugs and suggests fixes, then double‑checks itself to cut false alarms. Preview access is now open to enterprise and open source teams

@PythonPr @grok do senior developers still debate indentation or have we evolved?

What is The Difference ❓Comment The Output

𝗨𝗣𝗗𝗔𝗧𝗘𝗗 𝗟𝗜𝗦𝗧 𝗙𝗢𝗥 𝟮𝟬𝟮𝟲 💡 𝗜𝗱𝗲𝗮𝘀 • ChatGPT • Claude • Bing 🌐 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 • 10Web • Durable • Framer ✍️ 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 • Rytr • Jasper • Writesonic 🤖 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 • Chatbase • SiteGPT • ChatSonic ⚙️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • Make • Zapier • Bardeen 🖼️ 𝗜𝗺𝗮𝗴𝗲 • Midjourney • DALL·E • Stable Diffusion 🎥 𝗩𝗶𝗱𝗲𝗼 • HeyGen • Synthesia • Runway 🎨 𝗗𝗲𝘀𝗶𝗴𝗻 • Flair AI • Booth AI • Canva AI 🎵 𝗠𝘂𝘀𝗶𝗰 • Boomy • Amper • Jukedeck 📈 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 • AdCreative • Simplified • Pencil Save 🔖 for later — this stack covers almost everything you need in 2026. Follow @JayBisen473370 for more AI info

rip to thousands of startups

🚨BREAKING: Someone compiled every CS course from MIT, Stanford, Harvard, CMU and Berkeley in one place. You can learn: - Algorithms, OS, Distributed Systems, ML, AI - Deep Learning, Computer Vision, NLP, LLMs - Security, Databases, Quantum Computing - 500+ courses with full video lectures 70.3K stars. 100% Opensource.

CrewAI says it powered around 2B agentic workflow runs in the last 12 months. The shift is obvious: workflows win! #CrewAI

BREAKING: The largest collection of AI coding skills 860+ skills. One repo. Works everywhere. → Claude Code → Gemini CLI → Codex CLI → Cursor → GitHub Copilot → OpenCode → Antigravity IDE → AdaL CLI What are skills? AI agents are smart but generic. They don't know your deployment protocol. They don't know your company's architecture patterns. They don't know AWS CloudFormation syntax. Skills are small markdown files that teach them. One skill = one capability. Perfectly executed. Every time. This repo has 860 of them: → Architecture (system design, ADRs, C4) → Security (AppSec, pentesting, compliance) → DevOps (Docker, AWS, Vercel, CI/CD) → Data & AI (RAG, agents, LangGraph) → Testing (TDD, QA workflows) → Business (SEO, pricing, copywriting) Install once: npx antigravity-awesome-skills Then: "Use @ brainstorming to plan a SaaS MVP." "Run @ lint-and-validate on this file." Your AI agent just got 860 new capabilities. GitHub Repo Link in comments.

Generative AI vs Agentic AI vs AI agents 📚📘

🚨BREAKING: Google just dropped a new tool for generating academic illustrations for AI Scientists It's called PaperBanana. Here's what it does (49 page PDF):

Honest take: 💪 MacBook wins for 90% of devs • M-series chips = insane performance • Unix-based = native dev tooling • Resale value • Battery life for remote work ✓ Dell wins if: • Budget conscious • Heavy gaming + coding • Need specific hardware requirements Reality: Best laptop = one you can afford. Focus on learning, not gear.