Pintu (Learner) @learning_dev1

Top 30 Linux Commands and Their Meanings 1. `ls` — Lists files and directories. 2. `pwd` — Displays the current working directory. 3. `cd` — Changes the current directory. 4. `mkdir` — Creates a new directory. 5. `rmdir` — Removes an empty directory. 6. `touch` — Creates an empty file or updates its timestamp. 7. `cp` — Copies files and directories. 8. `mv` — Moves or renames files and directories. 9. `rm` — Removes files or directories. 10. `cat` — Displays file contents. 11. `less` — Views file contents one page at a time. 12. `head` — Displays the first lines of a file. 13. `tail` — Displays the last lines of a file. 14. `grep` — Searches text for matching patterns. 15. `find` — Searches for files and directories. 16. `chmod` — Changes file and directory permissions. 17. `chown` — Changes file or directory ownership. 18. `sudo` — Runs a command with elevated privileges. 19. `whoami` — Displays the current username. 20. `ps` — Displays information about running processes. 21. `top` — Monitors running processes and system resources. 22. `kill` — Sends a signal to a process. 23. `df` — Displays filesystem disk space usage. 24. `du` — Displays file and directory disk usage. 25. `free` — Displays memory usage. 26. `ip` — Displays or manages network configuration. 27. `ping` — Tests network connectivity to a host. 28. `curl` — Transfers data to or from a URL. 29. `tar` — Creates or extracts archive files. 30. `man` — Displays the manual page for a command.

Cheeky Pint is back! Mark Zuckerberg @finkd and Alexandr Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg

NO WAY: Metas Fable-Class Model outperforms Fable 5.1 on AA Intelligence Index! Just short behind Opus 5.5! This is insane, the whole game changed again! OpenAI under huge pressure! More to come!

leo 🐾 @synthwavedd

18 hours ago

Muse Wonder, Meta's Fable-class model, is out. It scores 56 on AA's Intelligence Index, putting it 2 points below SOTA (Opus 5.5), and overall the 2nd best model in the world per the Index!

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Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.

I couldn't f*cking believe this Stanford AI research team gave Claude Code a human brain setup. JEV is the fast gut brain. It scans everything in milliseconds and makes the easy calls. Claude is the slow thinking brain. It only wakes up for the hard ones. Here are the commands that wire the two together: /plugin marketplace add rashedInt32/jev-mcp /plugin install jev@jev-mcp -> Claude gets Jev as tools: classify, score, check npm install -g @dzhng/jevgrep jg "how are payments retried?" ./my-project -> ask what the code does, get the right files back. the author measured ~30% lower cost on the same tasks npx skills add altryne/jevify --skill jevify -> teaches your agent to hand the bulk yes/no work to Jev on its own > and fast-jev-compaction swaps Claude Code's summary for Jev decisions: it drops stale tool calls and keeps everything else word for word. Faster runs, smaller bills, barely any compute wasted. Save this before your next session.

kiosa @thegreatest_sv

3 weeks ago

x.com/i/article/2102…

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Grok Bot + Opus 5.5 is the most INSANE trading bot setup ever built i plugged Grok Bot and Opus 5.5 into one stack and built an ORDER FLOW trading desk that is running autonomously 24/7 here is the EXACT system you can build today: 1. 3 exchanges stream the order book, every trade and open interest live for free, the raw flow a fund pays thousands for 2. the liquidity heatmap shows where the big orders are stacked, price gets pulled into those clusters, so you see where the market wants to go next 3. CVD shows if the buying is real, price up but CVD down means the move is fake and about to fail 4. Grok scans X in real time for breaking news, whale chatter and sentiment flips, the stuff that moves BTC before the chart reacts 5. on every candle the order flow and Grok's read get packed into one clean snapshot 6. Opus 5.5 reads that snapshot and returns buy sell or hold with a confidence score, 0.82 opened the trade, 0.64 held it 7. after fixed time Opus 5.5 reviews which calls actually worked and rewrites its own rules, so the desk gets sharper by itself 8. a hard risk layer caps every position at 1.5% of equity and the order goes out in 42 ms, for ZERO dollars a month in data it reads every post on X the second it drops, the same edge a fund pays an entire sentiment team for the full build is in my article below:

Khairallah AL-Awady @eng_khairallah1

2 days ago

Opus 5.5 is godmode for building your own 24/7 AI trading desk. 1M token context. reads every headline on your watchlist overnight. I built a 24/7 trading system on Opus 5.5 set it up correctly and your desk never stops watching the market x.com/i/article/2108…

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10 GITHUB REPOS THAT LET AI EXPERIMENT, CODE AND EVOLVE. 1. SWE-agent — AI that fixes real coding issues. Give it a GitHub issue and let it navigate a codebase, edit files and attempt a solution. github.com/SWE-agent/SWE-… 2. Aider — an AI that codes directly in your repo. Let it modify multiple files, work with Git and help you debug real projects. github.com/Aider-AI/aider 3. OpenHands — build an AI software developer. Give an agent a task and let it use a terminal, edit code and run commands. github.com/OpenHands/Open… 4. DSPy — program AI systems instead of hand-writing every prompt. Optimize language-model pipelines using examples, metrics and systematic experimentation. github.com/stanfordnlp/ds… 5. TextGrad — optimize AI systems through feedback. Use text-based gradients to improve prompts and multi-step LLM workflows. github.com/zou-group/text… 6. EvoAgentX — experiment with self-evolving AI agents. Explore frameworks for building, evaluating and improving multi-agent workflows. github.com/EvoAgentX/EvoA… 7. ADAS — automatically discover agent designs. Research how AI can search for better agent architectures instead of relying on manual design alone. github.com/ShengranHu/ADAS 8. OpenEvolve — evolve code through iterative optimization. Use evolutionary search to generate, evaluate and improve program candidates. github.com/codelion/opene… 9. SWE-smith — create training environments for coding agents. Generate software-engineering tasks and datasets for training agents to solve code problems. github.com/SWE-bench/SWE-… 10. AutoGPT — build autonomous AI workflows. Experiment with goal-driven agents that plan tasks, use tools and work through multi-step processes. github.com/Significant-Gr… All are open-source. Bookmark this. The next big leap might be AI that can improve how it works.

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7 Questions to Ask When an AI System Suddenly Gets Worse Your AI system was working perfectly yesterday. Today, answers are inaccurate, responses are slower, or users are reporting failures. Before changing the model, ask these 7 questions to find the real problem.

Look closer at Google's own Argon benchmark slide. Argon wins most rows but it loses on the agentic coding and terminal tests Those are the closest to real agent work and argon loses all four on google's own chart Maybe that's why google is reportedly already testing Carbon internally as an Opus level for coding

50 Useful GitHub Repositories for Developers & AI Builders 🚀 Want to learn coding, build AI apps, and automate tasks? Save these useful GitHub repos! 👇 💻 Coding & Learning 1. Build Your Own X 2. Free Programming Books 3. Developer Roadmap 4. JavaScript Algorithms 5. 30 Seconds of Code 6. You Don't Know JS 7. freeCodeCamp 8. Coding Interview University 9. Project-Based Learning 10. The Art of the Command Line 🤖 AI & LLMs 11. Ollama 12. LangChain 13. Hugging Face Transformers 14. LlamaIndex 15. llama.cpp 16. vLLM 17. NanoGPT 18. DeepSeek 19. Open WebUI 20. Dify ⚡ AI Agents & Automation 21. n8n 22. CrewAI 23. AutoGen 24. MetaGPT 25. Langflow 26. Browser Use 27. Stagehand 28. Firecrawl 29. OpenClaw 30. TradingAgents 🛠️ AI Tools & App Building 31. Aider 32. ComfyUI 33. Lobe Chat 34. RAGFlow 35. Mem0 36. Supermemory 37. MarkItDown 38. AI Misalignment Testing (iFixAI) 39. Public APIs 40. Open-source AI workflows 📚 Developer Resources 41. System Design Primer 42. Tech Interview Handbook 43. Awesome Self-Hosted 44. GitHub .gitignore Templates 45. The Book of Secret Knowledge 46. Maigret 47. Awesome Claude Skills 48. System Design Interview Prep 49. AI Agents Ecosystem 50. AI App Development Tools 🔖 Save this list for your next project! Follow for more AI tools, coding resources, and useful tech content.

gemini 4 flash / argon is already showing up in antigravity 👀 model name: "gemini-3.8-flash-exp-a" but it's running at ~60 tokens/sec while 3.8 flash averages 100–150 google created more hype by NOT releasing it

Why is everyone suddenly talking about MCP? 🤔 Because Model Context Protocol (MCP) is quickly becoming the bridge between AI models and real-world applications. Instead of isolated chatbots, MCP enables AI to securely interact with: 🔹 APIs 🔹 Databases 🔹 Cloud services 🔹 DevOps tools 🔹 Internal enterprise systems This infographic breaks the journey into 12 simple days, taking you from: 📚 Fundamentals → 🏗️ Architecture → 💻 Implementation → 🚀 Production If you're preparing for the future of AI engineering, this is a great place to start. Save this roadmap so you can revisit it whenever you're ready to build your own MCP-powered applications.

Tech Fusionist | Kushal Gangil @techyoutbe

a month ago

x.com/i/article/2096…

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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 @fofrAI- 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 @ai_explorer25- ex-MSFT, covers all ai content and free resources @milichab - recently joined xAI, shares updates on Grok @skcd42 - also covers major Grok releases

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Today we are announcing our biggest bet yet on our own silicon. Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services. And we’re introducing Maia 300, which delivers 40% more tokens per watt compared to leading GPU-based systems. We are already deploying Maia 200 across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across experiences in Teams and Copilot. Our goal is to build on the full-stack efficiency gains we’ve already seen, while continuing to bring the latest innovations from across the ecosystem into our fleet.

If you use opencode, bookmark these 10 github repos some of the most starred skill collections worth checking out 1. Superpowers (292k) 2. Ponytail (147k) 3. UI UX Pro Max (131k) 4. Graphify (122k) 5. Caveman (108k) 6. Addy Osmani Skills (99.4k) 7. Understand Anything (84.3k) 8. Awesome Claude Skills (75.7k) 9. Archify (72.5k) 10. Impeccable (71.7k) important: github stars don't guarantee safety must inspect the files before installing save this list for when you need it

Alan @alannnfx

3 days ago

DEEPSEEK V4.1 FLASH JUST GOT UNCENSORED a new uncensored build is live on hugging face supports FP8, MLX, EXL3 and safetensors if you like testing open models, this one's worth a look get it here huggingface.co/dealignai/Deep…

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Ben Affleck? the AI engineer?

Fireside Alpha @firesidealpha

7 days ago

Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models “I’ve always been kind of into computers since I was young. Then, when film

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Guys Nano banana 2.1 is out and I don't have good news The drift benchmark pitted head to head against Flux 3 And I don't think I need to tell you who won

Nano Banana 2.1 is here! This upgraded version outperforms our previous models across the board, with notable leaps in: - visual design - mask-based editing - subject consistency - more natural-looking imagery Try it now in @GeminiApp, @GoogleAIStudio, and more.

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Meet Nano Banana 2.1, our latest image generation and editing model 🍌 This upgraded version outperforms our previous models across the board, with notable leaps in visual design, mask-based editing, and subject consistency to help you create more natural-looking images.

introducing @NanoBanana 2.1 🍌 our latest image generation model outperforms our previous models across the board: - better visual design - mask-based editing - subject consistency - more natural-looking images try it out today in ai.studio

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