28 Photos and videos
I read the MIT paper on Recursive Language Models (RLMs). Its a clever wrapper for LLMs to handle long contexts via a REPL chunking, summarizing, recursing. Seeing post on X calling it a paradigm shift, I had to read it again to see if I was missing anything.. Its essentially agentic workflows basic text ops from CS101. Not sure how many folks on X actually read the paper.
A few onions layers away you can align this to heuristics vs semantics.
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Whiteboarding over Zoom/Teams sucks.
So I built a way to whiteboard directly to your webcam - no screen sharing, no mouse-drawn gymnastics, no installs on a locked-down work computer.
Draw. Explain. Iterate.
Demo 👇
github.com/Techryptic/jester
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Here’s one of my advanced vibe coding tricks that automates the process of compiling and debugging issues in native iOS app development.
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Compile the iOS app using Xcode with this command. Wait for the response, and if errors or warnings occur, fix them automatically and rerun the command. Repeat until no errors or warnings remain.
xcodebuild -project [project_name].xcodeproj -scheme [scheme] -configuration Debug clean build CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO 2>&1 | grep -E 'warning:|error:|❌|⚠️|BUILD FAILED|following build commands failed:'
If errors occur, fix them automatically and rerun the command until the build succeeds without issues.
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🔥 OpenAI's new paper shows fascinating evolution in competitive programming: from hand-crafted strategies to emergent reasoning. Their o3 model hits 99.8th percentile on CodeForces through pure learning.
Paper: arxiv.org/pdf/2502.06807
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🚨 ALERT: I've implemented a system for near-instant deepfakes (🎥 Video & 🎤 Audio) — we’re talking LIVE Webcam/Microphone to near-real-time Deepfake Video/Voice.
Tomorrow, someone else will. Are we ready for a world where seeing isn’t believing? 🤔
This isn’t sci-fi anymore. The tech to manipulate audio and video in near-real-time exists now. I’ve built upon it, used it in real-time meetings, and I’m sure others have or will soon too.
We need urgent action:
🧠 Teach digital skepticism
🛠️ Develop better detection tools (I’m actively working on this)
This isn’t future tech—I’ve used it in actual meetings. It’s not about fear—it’s about preparedness. What is your organization doing to address this?
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📹 Demo video added — it works seamlessly via browser. The system (STS) was built before OpenAI's voice update, so it’s only going to get better from here.
💻 Currently running on 4-8 RTX 4090s via TensorDock on the backend. No URLs will be shared — this is strictly a proof of concept for research purposes.
🚨 I'm also exploring deepfake detectors, but let’s be honest—many are snake oil 🐍. They will eventually be circumvented by threat actors and researchers alike. Organizations need to be aware of this and avoid buying into the hype of quick-fix solutions. Instead, we need to focus on developing better, proactive strategies.
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I feel so strongly about this thread that I’m putting it out there to reach more people. It’s been some time since I wrapped up my PhD, and here are 5 hard truths nobody tells you about the journey. If you’re in the grind right now, this is what you need to know: 🧵👇
#phdchat
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