Michael Koenka

🚨 BREAKING: Someone just open-sourced the operating system for zero-human companies. It's called Paperclip. Think of it as the company layer on top of your AI agents. If OpenClaw is an employee, Paperclip is the entire company. What's inside: → Bring any agent (Claude Code, Codex, Cursor, OpenClaw) with real reporting lines → Give them org charts, titles, budgets, and goals → Monthly budgets per agent when they hit the limit, they stop. No runaway costs → Full ticket system with tool-call tracing and immutable audit logs → Agents run 24/7 on heartbeats while you monitor from your phone Instead of having 20 Claude Code tabs open with no idea what's happening… One deployment. One dashboard. Your agents run the company while you sleep. 1.4K stars. MIT License. 100% Opensource.

@EHuanglu You're still using ChatGPT?

holy smoke.. chatgpt 5.4 can now create animations directly in after effects

🚨 BREAKING: Someone just open-sourced software that sees you through walls using only WIFI signals. it’s called WiFi-DensePose. It maps your exact body pose in real-time. no cameras. no sensors. just your living room router. 100% Open Source.

If you didn't build it yourself, always check what you run. That said, this is pretty cool.

Cursor for Slides is finally here Watch the first 47 seconds. Then try going back to your old deck tool Reply "Chronicle" + RT to get two months of Pro for free. Make sure you follow so I can DM you asap.

@tejgw Chronicle

Elon Musk: “If you make education interactive and engaging, it becomes far more compelling and easier to do, ideally as fun as a good video game You do not need to tell your kid to play video games they will play video games on autopilot all day”

@KevinBarre @niccruzpatane A bait shop?

Just a reminder why electric vehicles are better than gas cars:

Software engineering accounts for nearly 50% of all AI agent tool calls. Healthcare, legal, finance, and a dozen other verticals are barely touched, each under 5%. That's a hundred AI unicorns waiting to be built. garryslist.org/posts/half-the…

Marc Andreessen explains why AI coding won't replace programmers, but fundamentally change what they do. He argues that AI coding is just the latest abstraction layer, and the job of a programmer has always evolved with each one. Andreessen's key reframe of what's actually happening: "AI coding actually abstracts away the process of actually writing the scripting code... This is the next layer of the task redefinition under the job of programmer." He's clear that the best programmers aren't being replaced. They're already adapting, even if their day-to-day looks radically different now. Their job has shifted from writing code line by line to managing dozens of AI agents working in parallel. "The world's best programmers today will tell you, 'My job is I'm sitting there and I'm orchestrating 10 code bots running in parallel.' Their day job now is kind of arguing with the AI bots to try to get them to write the right code." But @pmarca is adamant this doesn't make foundational knowledge obsolete — it makes it more important. "You need to still fully understand and learn how to write and understand code, because if it doesn't work or it's not doing what you expect, you need to be able to understand the results of what the AI is giving you." He draws a direct parallel: Just as someone writing scripting languages still needs to understand how a microprocessor works, someone orchestrating AI bots needs to understand the code those bots produce. "It's this upleveling of capability where you actually want the depth to go down and understand what the thing is actually doing, even if you're not spending your day doing that by hand." The result, in his view, is transformative: "Now programmers are going to be 10 times or 100 times or a thousand times more productive. And that is overwhelmingly a good thing." The pattern: New abstraction layer emerges → tasks change → the job gets redefined upward → productivity explodes It raises a question every programmer should be sitting with... Are you building the depth to evaluate what AI gives you, or just accepting the output?

Cybercab, which has no pedals or steering wheel, starts production in April

This is the layer we are building at Boldbeam.

@heygurisingh And just like that, Google owns your proprietary code.

🚨BREAKING: Google just launched CodeWiki, and it might be the biggest upgrade GitHub has had in years. You paste your GitHub repo in, and it turns your entire project into an interactive guide. It also generates diagrams, explanations, walkthroughs, everything you could ever want, and even a chatbot that knows the code better than anyone else.

Love love love @garrytan

Google just killed the document extraction industry. LangExtract: Open-source. Free. Better than $50K enterprise tools. What it does: → Extracts structured data from unstructured text → Maps EVERY entity to its exact source location → Handles 100+ page documents with high recall → Generates interactive HTML for verification → Works with Gemini, Ollama, local models What it replaces: → Regex pattern matching → Custom NER pipelines → Expensive extraction APIs → Manual data entry Define your task with a few examples. Point it at any document. Get structured, verifiable results. No fine-tuning. No complex setup. Clinical notes, legal docs, financial reports, same library. This is what open-source from Google looks like.

Elon Musk says the most dangerous thing happening in AI right now isn’t the speed of development. It’s the direction. “It is very important to have truth-seeking AIs.” Instead, he warns that models are being programmed with ideological filters at the code level. They’re being taught to prioritize certain narratives over objective reality. This breaks the fundamental promise of intelligence. If a system adjusts its answers to satisfy social sensibilities rather than describe the world as it is, it stops being useful for anything that actually matters. We’re building the most powerful decision-making tools in history. If they can’t tell the truth, they aren’t intelligence. They’re just automated bias at scale. A “safe” AI that lies to avoid controversy isn’t safe. It’s the most dangerous tool we could possibly create.

@BharukaShraddha It's clear they're not trying.

Google isn’t trying to win the AI race. They’re trying to own the entire AI Agent ecosystem. While everyone argues ChatGPT vs Claude, Google quietly built: Models → Gemini Pro, Flash, Deep Think, Gemma Design → Stitch, Whisk, Imagen Research → NotebookLM, AI Mode Video → Veo, Flow, Google Vids Coding → Antigravity IDE, Gemini CLI, Jules Agents → A2A, ADK, FileSearch API The scary part? All of these tools talk to each other. That means: 10x faster prototypes End-to-end AI workflows Production-ready agents on GCP The next AI war won’t be model vs model. It’ll be ecosystem vs ecosystem. I mapped this stack out here: gamma.app/?utm_campaign=… Save. Share. Build.

5 AI projects that will get you hired in 2026: save & retweet it.❤️ 1. RAG from Scratch GitHub: github.com/langchain-ai/r… 2. Al Social Media Agent GitHub: github.com/langchain-ai/s… 3. Medical Image Analysis GitHub: github.com/databricks-ind… 4. MCP Tool-Calling Agents Notebook: docs.databricks.com/aws/en/noteboo… 5. Al Assistant with Memory GitHub: github.com/Makememo/MemoAI

🦞 OpenClaw 2026.1.30 🐚 Shell completion 🆓 Kimi K2.5 + Kimi Coding: run your claw for free 🔐 MiniMax OAuth: one more model just a login away 📱 Telegram got a glow-up — 6 fixes from threading to HTML rendering Plus a bunch of community-contributed fixes across LINE, BlueBubbles, routing, security & OAuth. The lobster provides 😏 github.com/openclaw/openc…