My beliefs re: AI – Opensource AI will win
– AGI will run locally, not on someone else’s server
– The real ones are already learning how it works So: > Be early
> Buy a GPU
> Get ur hands dirty
> Learn how it works
> You’ll thank yourself The below has already happened btw
EDUCATION
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AI beliefs: open source wins, AGI local, get hands dirty
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A Build-First Roadmap for Learning AI
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Most people are missing this about learning AI in 2026: You don’t need another 40-hour course. You need a build-first roadmap. The new AI learning stack looks like this: Learn prompting by solving real problems Use AI tools daily, not passively Build
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Educational thread on Local AI covering software, hardware, and infrastructure
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BTW, I have an entire thread with all of my educational content on Local AI Covers everything from Software to Hardware to Infrastructure & Systems Design for running AI locally You absolutely should check it out as well for the bigger picture
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12 AI Terms to Learn
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12 #AI Terms to Learn
by @Python_Dv #ArtificialIntelligence #MachineLearning #ML #MI -
Why learn languages if AI can translate instantly?
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If #AI can translate instantly, why learn another language?
by Olivia Maurice Mark Antoniou @_TCglobal Learn more: https://
bit.ly/42HeE57 #ArtificialIntelligence #MachineLearning #ML #DL -
New Course on Building Self-Iterating AI Agents for Media Generation
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New course: Build AI agents that generate images and videos — an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with @googlecloudtech and taught by Katie Nguyen and… pic.twitter.com/xxuEvZs8HP
— Andrew Ng (@AndrewYNg) 20 mai 2026New course: Build AI agents that generate images and videos — an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with @googlecloudtech and taught by Katie Nguyen and
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Stanford HAI Announces Human-Centered AI for Social Impact Cohort
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Applications are now open for the @StanfordHAI and @stanforddschool
's Fall 2026 Social Sector Cohort on Human-Centered AI for Social Impact. Learn to build AI solutions grounded in human needs, not hype. Visit our website for more info: https://
hai.stanford.edu/designing-your
-human-centered-ai-strategy-social-sector-cohort
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Using Gemini to turn handwritten notes into AI study guides
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📢Turn messy handwritten notes into an instant AI study guide.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 19 mai 2026
Digitize your semester with Gemini:
snap pics of your pages, upload, then prompt it to build a structured study guide or flashcards that skip the basics and go deep on what you still need to learn.
Follow us for… pic.twitter.com/Ji5l58bbq3Turn messy handwritten notes into an instant AI study guide. Digitize your semester with Gemini: snap pics of your pages, upload, then prompt it to build a structured study guide or flashcards that skip the basics and go deep on what you still need to learn. Follow us for
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Classic Reinforcement Learning Textbook Recommendation
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): http://
amzn.to/3UtbeAa
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#DataScience #AI #MachineLearning #ML #Mathematics #Gamification -
Claude Code Training 13 Hours: Long-term Memory and React FastAPI App
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Formation complète Claude Code : 13 HEURES.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 19 mai 2026
J'ai cherché partout. Rien de comparable n'existe.
Gardez-la précieusement en signet 🔖
De A à Z :
– CLAUDE.md : comment donner une mémoire long terme à Claude sur ton projet
– App complète : React frontend + Python FastAPI… pic.twitter.com/owmHgMjVLmComplete Claude Code Training: 13 HOURS. I searched everywhere. Nothing comparable exists. Bookmark it preciously. From A to Z: – CLAUDE.md: how to give Claude long-term memory on your project – Complete App: React frontend + Python FastAPI