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 30 minutes, she walks through exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run. Better than any $1000-$2000 agent course I've seen. Watch it, then read the article below ↓

Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems actually work. The progression is simple: 10% - LLM 30% - Prompt 50% - Agent 70% - Loop 100% - Graph The key takeaway: AI engineering isn’t just about writing better prompts. It’s about building systems around models, giving them context, memory, tools, feedback loops, and data flows. “Delete everything, keep Graph.” Definitely worth watching if you’re building with AI agents. Watch and bookmark it.

Meksika’da kadın futbolunda atılan bir gol, dünya genelinde 600 milyon kez izlendi.

Stop wasting hours figuring out what to learn in AI. Here’s one practical roadmap covering videos, GitHub repos, guides, books, papers and courses. *VIDEOS*  1.⁠ ⁠LLM Introduction ⁠ piped.video/watch?v=zjkBMF… ⁠  2.⁠ ⁠LLMs from Scratch ⁠ piped.video/watch?v=9vM4p9… ⁠  3.⁠ ⁠Agentic AI Overview — Stanford ⁠ piped.video/watch?v=kJLiOG… ⁠  4.⁠ ⁠Building & Evaluating Agents ⁠ piped.video/watch?v=d5EltX… ⁠  5.⁠ ⁠Building Effective Agents ⁠ piped.video/watch?v=D7_ipD… ⁠  6.⁠ ⁠Building Agents with MCP ⁠ piped.video/watch?v=kQmXtr… ⁠  7.⁠ ⁠Building an Agent from Scratch ⁠ piped.video/watch?v=xzXdLR… ⁠  8.⁠ ⁠Philo Agents ⁠ piped.video/playlist?list=… ⁠ *GITHUB REPOS*  1.⁠ ⁠GenAI Agents ⁠ github.com/nirdiamant/Gen… ⁠  2.⁠ ⁠Microsoft AI Agents for Beginners ⁠ github.com/microsoft/ai-a… ⁠  3.⁠ ⁠Prompt Engineering Guide ⁠ github.com/dair-ai/Prompt… ⁠  4.⁠ ⁠Hands-On Large Language Models ⁠ github.com/HandsOnLLM/Han… ⁠  5.⁠ ⁠GenAI Agents ⁠ github.com/NirDiamant/Gen… ⁠  6.⁠ ⁠Made with ML ⁠ github.com/GokuMohandas/M… ⁠  7.⁠ ⁠Hands-On AI Engineering ⁠ github.com/Sumanth077/Han… ⁠  8.⁠ ⁠Awesome Generative AI Guide ⁠ github.com/aishwaryanr/aw… ⁠  9.⁠ ⁠Designing Machine Learning Systems ⁠ github.com/chiphuyen/dmls… ⁠ 10.⁠ ⁠Machine Learning for Beginners ⁠ github.com/microsoft/ML-F… ⁠ 11.⁠ ⁠LLM Course ⁠ github.com/mlabonne/llm-c… ⁠ *GUIDES*  1.⁠ ⁠Google’s Agent Whitepaper ⁠ kaggle.com/whitepaper-age… ⁠  2.⁠ ⁠Google’s Agent Companion ⁠ kaggle.com/whitepaper-age… ⁠  3.⁠ ⁠Anthropic: Building Effective Agents ⁠ anthropic.com/engineering/bu… ⁠  4.⁠ ⁠Claude Code Agentic Coding Practices ⁠ code.claude.com/docs/en/best…… ⁠  5.⁠ ⁠OpenAI: Practical Guide to Building Agents ⁠ cdn.openai.com/business-guid…… ⁠ *BOOKS*  1.⁠ ⁠Understanding Deep Learning ⁠ udlbook.github.io/udlbook/ ⁠  2.⁠ ⁠Building an LLM from Scratch ⁠ manning.com/books/build-a-… ⁠  3.⁠ ⁠The LLM Engineering Handbook ⁠ oreilly.com/library/view/l… ⁠  4.⁠ ⁠AI Agents: The Definitive Guide ⁠ oreilly.com/library/view/a… ⁠  5.⁠ ⁠Building Applications with AI Agents ⁠ oreilly.com/library/view/b… ⁠  6.⁠ ⁠AI Agents with MCP ⁠ oreilly.com/library/view/a… ⁠  7.⁠ ⁠AI Engineering ⁠ oreilly.com/library/view/a… ⁠ *RESEARCH PAPERS*  1.⁠ ⁠ReAct ⁠ arxiv.org/abs/2210.03629 ⁠  2.⁠ ⁠Generative Agents ⁠ arxiv.org/abs/2304.03442 ⁠  3.⁠ ⁠Toolformer ⁠ proceedings.neurips.cc/paper…… ⁠  4.⁠ ⁠Chain-of-Thought Prompting ⁠ arxiv.org/pdf/2201.11903 ⁠ *COURSES*  1.⁠ ⁠Hugging Face Agent Course ⁠ huggingface.co/learn/agents-…… ⁠  2.⁠ ⁠MCP with Anthropic ⁠ deeplearning.ai/courses/mcp-…… ⁠  3.⁠ ⁠Building Vector Databases with Pinecone ⁠ deeplearning.ai/courses/buil…… ⁠  4.⁠ ⁠Vector Databases: Embeddings to Apps ⁠ deeplearning.ai/courses/vect…… ⁠  5.⁠ ⁠Agent Memory ⁠ deeplearning.ai/courses/llms…… ⁠ No endless searching. No information overload. Just a roadmap you can actually build from. Save this and work through it consistently.

Anthropic ha publicado un taller sobre cómo construir una empresa solo con Agentes IA. Agentes trabajando entre ellos, repartiéndose tareas y ejecutando procesos. Gratis. Del equipo que creó Claude. Lo he subtitulado al español. Si quieres que la IA trabaje por ti, guarda esto 🔖

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. github.com/lahfir/agent-desk… 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. github.com/fhshaik/typesafe-… 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. github.com/RomanSlack/jev-dr… 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. github.com/emrickgarrett/One… 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. github.com/jarrodwatts/jev-t… 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. github.com/irfndi/prism-liqu… 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. github.com/jexp/neo4jev 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. github.com/AkashPriyadarshii… 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. github.com/qkal/Canny 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. github.com/monteduro/killmyi… Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

this is pure f*cking treasure 15 GitHub projects with 1.21M combined stars that can form a real agent stack specs. memory. web data. documents. context. sandboxes. monitoring. video 01 hermes-agent ▸ github.com/NousResearch/herm… 02 OpenSpec ▸ github.com/Fission-AI/OpenSp… 03 caveman ▸ github.com/JuliusBrussee/cav… 04 Scrapling ▸ github.com/D4Vinci/Scrapling 05 Docling ▸ github.com/docling-project/d… 06 PageIndex ▸ github.com/VectifyAI/PageInd… 07 mem0 ▸ github.com/mem0ai/mem0 08 headroom ▸ github.com/headroomlabs-ai/h… 09 Daytona ▸ github.com/daytonaio/daytona 10 TrendRadar ▸ github.com/sansan0/TrendRada… 11 Fabric ▸ github.com/danielmiessler/Fa… 12 spec-kit ▸ github.com/github/spec-kit 13 hyperframes ▸ github.com/heygen-com/hyperf… 14 OpenMontage ▸ github.com/calesthio/OpenMon… 15 AI Engineering Hub ▸ github.com/patchy631/ai-engi… the loop: define the job → collect the evidence → parse the docs → save the memory → compress the context → run the code safely → watch what changes → ship the output the entire stack is open source save this to build your own business with the help of an AI employee ⭣

50 websites that feel like the internet’s hidden toolbox 🧰 1. unpaywall.org — Free research papers 2. openlibrary.org — Borrow books online 3. doaj.org — Free academic journals 4. alternativeto.net — App alternatives 5. justwatch.com — Find where to stream 6. archive.org — Internet archives 7. gutenberg.org — 70K+ free books 8. openstax.org — Free textbooks 9. openculture.com — Free courses 10. wolframalpha.com — Solve complex problems 11. photopea.com — Photoshop alternative 12. squoosh.app — Compress images 13. remove.bg — Remove backgrounds 14. cleanup.pictures — Remove objects 15. unscreen.com — Remove video backgrounds 16. carbon.now.sh — Beautiful code images 17. ray.so — Code screenshots 18. shots.so — Product mockups 19. smartmockups.com — Create mockups 20. haveibeenpwned.com — Check data breaches 21. virustotal.com — Scan files & URLs 22. privnote.com — Self-destructing notes 23. temp-mail.org — Temporary email 24. file.io — Temporary file sharing 25. archive.ph — Save webpages 26. similarsites.com — Find similar websites 27. radio.garden — Explore global radio 28. everynoise.com — Discover music genres 29. tunefind.com — Find songs from shows 30. musicforprogramming.net — Focus music 31. mynoise.net — Custom background sounds 32. coffitivity.com — Café ambience 33. elicit.org — Research assistant 34. consensus.app — Research-backed answers 35. connectedpapers.com — Research connections 36. semanticscholar.org — Academic search 37. scispace.com — Understand research papers 38. summarize.tech — YouTube summaries 39. phind.com — AI for developers 40. regex101.com — Test regex 41. codebeautify.org — Format code 42. jsonformatter.org — Format JSON 43. explainshell.com — Understand terminal commands 44. raindrop.io — Bookmark manager 45. downdetector.com — Check outages 46. tineye.com — Reverse image search 47. fast.com — Internet speed test 48. smallpdf.com — PDF tools 49. ilovepdf.com — Merge/split PDFs 50. 10minutemail.com — Temporary email Save this. You’ll definitely need some of these later. 🔖 Follow @nikola_mr64990 for more useful websites, AI tools & tech resources.

Grok Bot is the best AI agent right now It gives you an army of agents that can do work for you 24/7 If you set it up correctly, you gain super powers In this article, I cover how to build a self improving AI research desk that runs while you sleep

this f*cking reddit Wall street researcher shared his "Grok Bot" trading agentic system openly that mine alpha 24/7. he told, how he replaced $294k system with 6 Grok Bot that automated there fund and saved around 46 hours/week on research. Bookmark it before its lost and start replacing your agents with Grok Bots.

instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale useful whether you've never built an agent in your life or have been using Claude every day for the past year I took the key ideas and turned them into a practical guide on how to actually build with Kimi find it below

7 Sci-Hub Alternative Websites Paper you need to ask for payment & can't use sci-hub? You don't have to pay to read academic papers. These are 7 sci-hub alternative websites to download papers for free. 👉 Unpaywall --> https://unpaywall. org/ Install this browser extension on Chrome and read the paper directly on the journal website legally and for free. 👉 Open Access Button (OAB) --> https://lnkd. in/dXVVQpUf Copy and paste the link paper or DOI on the OAB website. This will be accessible on the next page. Legal. 👉 PaperPanda --> https://paperpanda. app/ Like Unpaywall, this Chrome extension allows you to access millions of research papers in one click. 👉 DOAJ --> https://doaj. org/ As the name implies, DOAJ (Directory of Open Access Journals) provides access to millions of scientific papers from around the world for free. 👉 OA[.]mg--> https://oa. mg/ Like Google which is made specifically to search for academic papers. There are more than 250 million papers available for access. 👉 Core --> https://core. ac. uk/ The world's largest database of research papers with more than 298 million papers from around the world that can be accessed for free. 👉 arXiv --> https://arxiv. org/ Especially for lovers of natural sciences and economics, this website provides access to 2.4 million academic papers for free. Tip: Remove any spaces in the URLs if you encounter issues accessing the websites.

Sci-Hub is an evil website that pirated 85M+ research papers and made them freely available And now they've added AI to their database to make Sci-Bot. It answers your questions using latest, full-text articles. But DO NOT use it. We should all try to make billion-dollar academic publishers richer. I'm putting the link below so you know how to avoid it.

7 Sci-Hub Alternative Websites Paper you need to ask for payment & can't use sci-hub? You don't have to pay to read academic papers. These are 7 sci-hub alternative websites to download papers for free. 👉 Unpaywall --> https://unpaywall. org/ Install this browser extension on Chrome and read the paper directly on the journal website legally and for free. 👉 Open Access Button (OAB) --> https://lnkd. in/dXVVQpUf Copy and paste the link paper or DOI on the OAB website. This will be accessible on the next page. Legal. 👉 PaperPanda --> https://paperpanda. app/ Like Unpaywall, this Chrome extension allows you to access millions of research papers in one click. 👉 DOAJ --> https://doaj. org/ As the name implies, DOAJ (Directory of Open Access Journals) provides access to millions of scientific papers from around the world for free. 👉 OA[.]mg--> https://oa. mg/ Like Google which is made specifically to search for academic papers. There are more than 250 million papers available for access. 👉 Core --> https://core. ac. uk/ The world's largest database of research papers with more than 298 million papers from around the world that can be accessed for free. 👉 arXiv --> https://arxiv. org/ Especially for lovers of natural sciences and economics, this website provides access to 2.4 million academic papers for free. Tip: Remove any spaces in the URLs if you encounter issues accessing the websites.

Most people jump into AI through random tutorials. This MIT course gives you a structured roadmap: Neural Networks → Computer Vision → NLP → Transformers → RAG → Text-to-Image models. 14 hours of deep, practical learning in one place. If you want to build real AI systems (not just prompts), this is a must-watch. Course: piped.video/playlist?list=… Lecture notes: ocw.mit.edu/courses/15-773… And yes learning AI Agents in 2026 will be a career cheat code. I’ve also shared many free AI Agent resources on my profile please check it out. Bookmark this. 🚀

OPENCLAW AI FULL 6 HOUR COURSE

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