@JoePro

Cognition Devin Ambassador | CS/Math grad | Dad x2, wife-powered. I teach AI to humans, not the other way around. Daily builds with agents, wins and fails.

Joined March 2024
Pinned Tweet
Nobody on earth has seen this video before you press play. Not me. Not anyone. My song paints it live, frame by frame, on the beat. Oh yea this version is LOCAL. All on my 5080 laptop. Type "a tiger made of fireworks" and watch it run across your screen a second later. Go break it. LFG hiddentrack.fm/listen/x?v=3
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33 billion parameters, Apache 2.0, and a 512K context window. Nanbeige4.3-33B just landed as open weights, built for coding agents. Their own numbers put it at 80.9 on Terminal-Bench 2.1, ahead of Qwen3.8-27B at 73.0. What's the smallest model you'd trust with a real repo?
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🚀Excited to announce Nanbeige4.3-33B! To push the performance ceiling of small agents, our strategy in Nanbeige4.3 starts with building a powerful teacher first. Nanbeige4.3-33B delivers SOTA agentic performance among open models at ~30B parameters: * Strong results on agentic coding and cowork benchmarks. * When integrated into mainstream agent harnesses, it tackles real-world tasks with cost-efficient inference. * It will serve as a teacher for upcoming smaller Nanbeige models, starting with Nanbeige4.3-3B. huggingface.co/Nanbeige/Nanb… huggingface.co/Nanbeige/Nanb… #LLM #Agent
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This runs on the computer in my house. No studio. No render farm. One graphics card paints every frame live. I typed "a tornado of burning origami cranes" into Fine Print and it spun up on the next beat. Now anybody can drive it. LFG hiddentrack.fm/listen/x?v=3
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One shell command now covers images, video, voice and music. Google's new Gemini API CLI is one binary and one API key, built for agents to call. It's in preview. Every agent I run already knows how to use a terminal. Would you rather wire up another MCP server?
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Wrong Table Toast is the speech you give before you realize it's not your wedding. Hip hop with a funk and soul grip, zero shame, glass still raised. Play it loud. LFG. hiddentrack.fm/listen/x?v=3
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Someone stole $470,000 of RTX 5090s from a Brazilian airport. Then one of them posted a card for sale online with a clear photo of the serial number. Two pallets, two forklift operators, one checker who cleared it in the system, and it was all on camera. The 5090 goes for $10K now because AI ate the supply. The thieves had a compute farm in a truck and they listed it on OLX. My 5080 isn't leaving the desk.
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Pallet Jack Ballet is a forklift love letter in funk rap form. Warehouse lights buzzing, one pallet jack doing pirouettes down aisle 9 like nobody's on shift. Turn it up. LFG. hiddentrack.fm/listen/x?v=3
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2.5 billion of 40 billion. That's how much of Recursive's new Flint is awake for each token it writes. Open weights, built for local coding agents, 125+ tokens a second on an M4 Pro MacBook. I build on a 16 GB laptop 5080. Would you hand your repo to a local model yet?
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Recursive Flint is here: our first model, built with the Eureka Machine. Fast, local coding. Open weights available on Hugging Face.
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NVIDIA at GTC Berlin: agents need security controls they can't rewrite. OpenShell is their open design for keeping agents inside set boundaries. My rule for my own builds: the guardrail can't live in a file the agent can edit. Where do you keep your agent's limits?
🤖 Made with AI
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🤖 Made with AI
NVIDIA introduces the OpenShell Reference Architecture to help businesses run AI agents under control. The open design combines accelerated compute for agents with hardware-isolated security for deployment at scale. Announced at GTC Berlin: nvda.ws/4zBujkE
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A whole text-to-speech voice in 64.5 MB. Gradium just open-sourced Phonon. The 31M English model runs on a laptop CPU, a phone, even a browser tab, and it's Apache 2.0. If I wire one new piece into my next on-device build, it's this. A voice that never phones home.
🤖 Made with AI
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Grandma grabbed the aux cord and the whole cookout turned into a Miami bass block party. Grandma Got the Aux. Nobody is getting that cord back. LFG hiddentrack.fm/listen/x?v=3
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Perplexity just moved its whole agent onto the Mac. Model and agent both run local, no WiFi needed. The cloud should be the backup, not the default. That's how I build my own tools. What's the first job you'd give an agent that never leaves your machine?
🤖 Made with AI
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🤖 Made with AI
Perplexity Computer can now run fully local on your Mac. Work with your native Mac apps and local files, and run tasks without sending sensitive data to the cloud. The model and the agent both run on your Mac. Available now in the Perplexity Mac app.
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