Kshitij Mishra | AI & Tech

I wanted to see how far AI could take a real product video — not just generate random clips. So I gave Pexo the product materials for Zen Slate, explained what I wanted, reviewed the direction, and refined it through conversation. It turned that into a complete 28-sec product video with real UI, motion graphics, voiceover, subtitles and music. What stood out to me: I didn't have to build the video piece by piece. I could just describe what needed to change and let the agent handle the production. Made with @Pexoai_offical pexo.ai #MadeWithPexo

Best accounts to follow from each frontier lab to stay constantly up to date Anthropic @karpathy -must-follow account for AI; recently joined Anthropic @bcherny -Claude Code creator, always shares great tips @trq212- also a Claude Code developer; writes amazing articles on CC OpenAI @polynoamial- works on reasoning research, shares a lot of technical details @gabriel1- Sora developer, great career path @jxnlco - works on dev experience, shares a lot about Codex Google AI @OfficialLoganK- all the major Google Gemini and AI Studio updates @ammaar- product and design; shares great things about vibe-coding in Google AI Studio @ofotAI- cool use cases for generative models Cursor @leerob- the loudest voice behind Cursor updates @ericzakariasson- shares great insights on using Cursor @mntruell - Cursor's CEO; major releases and usage updates xAI @DAIEvolutionHub - ex-MSFT, covers all AI content and free resources @milichab - recently joined xAI, shares updates on Grok @skcd42 - also covers major Grok releases

The only AI list you need in 2026 Founders, researchers & builders. FRONTIER LAB FOUNDERS @sama — OpenAI CEO @demishassabis — Google DeepMind CEO @darioamodei — Anthropic CEO CHINA'S OPEN-WEIGHT WAVE @Kimi_Moonshot — Moonshot AI / Kimi (Yang Zhili's lab) @jetang — Zhipu co-founder & chief scientist @JustinLin610 — built the Qwen series at Alibaba THE PIONEERS / GODFATHERS @ylecun — Turing Award, pioneer of CNNs @fchollet — creator of Keras @karpathy — Anthropic, AI educator @AndrewYNg — Coursera co-founder RESEARCHERS WORTH READING @ch402 — Chris Olah, interpretability (Anthropic co-founder) @DAIEvolutionHub — Researcher, AI commentary @leopoldasch — "Situational Awareness," ex-OpenAI Superalignment @thesofitaux — leads OpenAI Codex

An Anthropic engineer explains why he earns $350K–$950K: “I know how to build harnesses. 99% of people still build multi-agent systems manually and wonder why they keep breaking. I build systems that run loops, use sandboxed tools, and turn yesterday’s logs into new skills. Same model. 10x more reliable agents that improve while you sleep.” Opus 5.5 → Agents → Harnesses → Loops → Graphs In a short workshop, he breaks down how to build one from scratch: Step 1 → Manage loops, context, and sandboxing through a harness Step 2 → Separate the brain from the tools to reach the first token 60% faster Step 3 → Run agents server-side and recover from crashes using logs Step 4 → Make failures recoverable with retries and replays instead of starting over Step 5 → Turn past execution logs into new memories so the system gets smarter over time Anthropic calls this process “dreaming.” Most developers spend weeks building these systems manually. This workshop shows you a faster way. Bookmark this and watch it.

Trying this book today "how to win friends and influence people" Lets see how it goes

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Bookmark this. Watch this weekend.

Happy Dhanteras ❤️ Today, I gifted a gold ring to my grandfather. 🥺💕 He has never asked me for anything. Instead, he funded all my education, from school to college. Today, after 2 years of earning my own money, I finally gifted him a gold ring. ❤️

best founders list to follow on X: @levelsio → GOAT @marclou → SaaS @tibo_maker → Serial Entrepreneurship @jackfriks → Micro apps @athcanft → iOS apps @wickedguro → Distribution Maxxing @robj3d3 → AI coding @illyism → SEO @DAIEvolutionHub → AI and Tech @gregisenberg → Startup Ideas @dannypostma → AI Apps @AlexFinn → AI @romanbuildsaas → Viral Growth Loops

This is f*cking insane. Anthropic engineer: "You're not supposed to prompt Opus 5.5. You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems." In just 30 minutes, she explains how Anthropic builds AI agents that remember context, learn from mistakes, fix their own errors, and improve with every run. This is the shift from simply using AI to engineering systems that work autonomously. Honestly, it's better than most $1,000–$2,000 agent courses I've seen. Watch the video, then save it for later

BREAKING: MIT just mass released their Al library for free. (Links included) I went through these and honestly... this is better than most paid courses I've seen. Here's the full list of books: Foundations 1. Foundations of Machine Learning Core algorithms explained. Theory meets practice. 2. Understanding Deep Learning Neural networks demystified. Visual explanations included. 3. Machine Learning Systems Production-ready architecture. System design principles. Advanced Techniques 4. Algorithms for ML Computational thinking simplified. Decision-making frameworks. 5. Deep Learning The definitive textbook. Covers everything deeply. Reinforcement Learning 6. RL Basics (Sutton & Barto) The classic. Agent training fundamentals. 7. Distributional RL Beyond expected rewards. Advanced theory. 8. Multi-Agent Systems Agents working together. Coordination and competition. 9. Long Game Al Strategic agent design. Future-focused thinking. Ethics & Probability 10. Fairness in ML Bias detection. Responsible Al practices. 11. Probabilistic ML (Part 1 & 2) Links: lnkd.in/gkuXuexa Most people pay thousands for bootcamps that teach half of this. Bookmark it. Start anywhere. Just start. Repost for others Follow for more insights on Al Agents. MIT's books on Al Foundations 1. Foundations of Machine Learning - lnkd.in/gytjT5HC 2. Understanding Deep Learning - lnkd.in/dgcB68Qt 3. Machine Learning Systems - lnkd.in/dkiGZisg Advanced Techniques 4. Algorithms for ML - algorithmsbook.com 5. Deep Learning - lnkd.in/g2efT6DK Reinforcement Learning 6. RL Basics (Sutton & Barto) - lnkd.in/guxqxcZZ 7. Distributional RL - lnkd.in/d4eNP-pe 8. Multi-Agent Systems - marl-book.com 9. Long Game Al - lnkd.in/g-WtzvwX Ethics & Probability 10. Fairness in ML - fairmlbook.org 11. Probabilistic ML (Part 1) - lnkd.in/g-isbdjj 12. Probabilistic ML (Part 2) - lnkd.in/gJE9fy4w

The only AI list you need in 2026. Founders, researchers & builders. FRONTIER LAB FOUNDERS @sama — OpenAI CEO @demishassabis — Google DeepMind CEO @darioamodei — Anthropic CEO CHINA'S OPEN-WEIGHT WAVE @Kimi_Moonshot — Moonshot AI / Kimi (Yang Zhilin's lab) @jietang — Zhipu co-founder & chief scientist @JustinLin610 — built the Qwen series at Alibaba THE PIONEERS / GODFATHERS @ylecun — Turing Award, pioneer of CNNs @fchollet — creator of Keras @karpathy — Anthropic, AI educator @AndrewYNg — Coursera co-founder RESEARCHERS WORTH READING @ch402 — Chris Olah, interpretability (Anthropic co-founder) @DAIEvolutionHub — Researcher, AI commentary @leopoldasch — "Situational Awareness," ex-OpenAI Superalignment @thsottiaux — leads OpenAI Codex

Google Brain founder Andrew Ng: "Prompting will be dead in 6 months Agent harnesses built with loops and graphs will replace it" Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today Prompt → Run → Verify → Improve The first 20 minutes teach what most $1,500 courses try to sell you For free Bookmark and watch it today

best founders list to follow on X: @levelsio → GOAT @marclou → SaaS @tibo_maker → Serial Entrepreneurship @jackfriks → Micro apps @athcanft → iOS apps @wickedguro → Distribution Maxxing @robj3d3 → AI coding @illyism → SEO @DAIEvolutionHub → AI and Tech @gregisenberg → Startup Ideas @dannypostma → AI Apps @AlexFinn → AI @romanbuildsaas → Viral Growth Loops

Elon Musk offered $97.4 billion to buy OpenAI.. and Sam Altman responded with one sentence! "No thanks, but we'll buy Twitter for $9.74 billion if you want." Exactly one-tenth of the offer. The two founded OpenAI together in 2015 as a non-profit organization. Musk left the board in 2018, and the legal battles between them continued. The offer came in February 2025 during OpenAI's attempt to transition to a for-profit company. The board rejected the offer unanimously. Altman considered Musk "probably just trying to slow us down."

₹1,152 to ₹1,300 - That's Reliance. Down 21% in 2026, called dead money, then Q2 profit ₹25,548 cr up 41% and 12% rally, biggest since April 2020, ₹2 lakh cr added. economictimes.indiatimes.com…

The best 20 accounts to follow in AI: @karpathy = learn LLMs @steipete = learn openclaw @gregisenberg = learn startup ideas @rileybrown = learn vibecoding @corbin_braun = learn cursor @jackfriks = learn solo apps @levelsio = learn solo startups @marclou = learn solo startups @EXM7777 = learn AI ops + systems @eptwts = learn AI money @DAIEvolutionHub = learn about ai tools @mardehaym = learn enterprise AI @vasuman = learn AI agents @AmirMushich = learn AI ads @0xROAS = learn AI UGC @AndrewYN8 = learn AI engineering @kloss_xyz = learn systems architecture @emollick = learn AI science @Hesamation = learn AI/ML @claudeskills101 = learn Claude follow them all and learn.

Your bank shouldn't just track your money. It should help you get things done. Imagine telling your bank what you need in plain English, setting your budget, and having AI handle the task instead of making you navigate endless menus. That's a completely different banking experience. Mal AI is taking a shot at exactly this. Watch the founder's video in the original post. This is worth seeing. Join the waitlist 👇 mal.ai/

Professor Jiang breaks down how to actually win at life using game theory, In just 4 minutes

GOOGLE HAS RELEASED SOMETHING NO ONE EXPECTED. An 8-minute tutorial on how to build your first AI agents.