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🔥
building.
🔥
building.
129 followers · 42 following

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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLOAchievement: Starstruckx3

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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLOAchievement: Starstruckx3

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theJayTea/README.md

Top 10 AI dev on GitHub. Featured in WIRED & ~40+ publications, twice. Dropped my a16z-startup internship to build Sentient OS in SF. Launched Jul 19th to 1,500+ users in 24 hours.

What I'm Building

Co-founder, Sentient OS (sentient-os.ai) — An on-device LLM understands your entire life, then proactively offers to get your work done through computer use.

  • Every night, it reads what's new (files, screenshots, WhatsApp, iMessage, email) in your life entirely locally to create the deepest memory of you any AI has ever had.
  • Every morning, your work is already done: the reply you forgot, drafted; the subscription you meant to cancel, caught. One click to fire.
  • Click your notch anywhere, and Sidekick drops from the notch let you ask it to "finish this for me" -- it'll take over your gruntwork using computer use.
  • Raw data never leaves your Mac. No accounts, ever. Open source (AGPL).
  • 2,500+ waitlisted in 24h, and 1,500+ users on day one — top post on r/macapps, $0 marketing.

Writing Tools — A system-wide AI writing assistant that beat Apple Intelligence to market and outperforms it. 2,300+ GitHub stars. 30,000+ users. Featured in 30+ major tech publications. Led a team of 8 contributors including senior engineers.

Bliss AI — A fine-tuned Gemini-powered STEM tutoring app for students in local curricula. 20,000+ questions answered. Nominated in the Google Gemini API Developer Competition.

👨‍💻 I love making the impossible possible:

a 2-min Reel showcasing some of the crazy stuff below!

  • Got iPadOS running on an iPhone with external monitor support — covered by WIRED & 39+ publications
  • First to extract system prompts from ChatGPT Advanced Voice Mode, Microsoft Copilot, Sarvam AI, GitHub Copilot, Dia Browser, etc.
  • First to investigate Apple's 2025 neural accelerators embedded in GPU cores
  • Built a Hackintosh on a Dell XPS by reverse-engineering macOS internals
  • Got Minecraft running on a smartwatch
  • Been jailbreaking iOS and compiling custom Android ROMs since I was 8

🏆 A Few Highlights

🔬 Research

LLM Quantization & Reasoning — First comprehensive study on how quantization affects different types of critical thinking in LLMs. 5,000+ evaluation runs; preparing for publication.

ML Research with Dr. Hannah Rana, Harvard — Bayesian Optimization for cryocooler parameter prediction using Oxford experimental data. Co-authoring paper for the Journal of Cryogenics.

📫 Let's Chat!

LinkedIn · Email · Instagram · Reddit

I'm always down to talk about LLMs, agentic AI, product design, or the oddly specific art of compressing a multimodal LLM without crushing its eyes.

Pinned Loading

  1. WritingTools WritingTools Public

    The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.

    Swift 2.4k 150

  2. LocalLLMClient-JT LocalLLMClient-JT Public

    An enhanced version of tattn's LocalLLMClient, with Qwen 3 VL support (both Llama Cpp and MLX), updated Llama Cpp, and Inference Performance tooling.

    C++ 1

  3. Comet-Patcher-to-Unblock-Perplexity-Extensions Comet-Patcher-to-Unblock-Perplexity-Extensions Public

    Patcher for Comet (Perplexity’s browser) to allow extensions (like Complexity) to work on the Perplexity website! Only for macOS.

    Shell 11

  4. XPS-13-7390-Hackintosh XPS-13-7390-Hackintosh Public

    A perfect, vanilla setup of macOS Ventura with Open Core for the Dell XPS 13 7390. You should be able to easily adapt this to similar Dell laptops too!

    C 33 4

  5. I extracted Microsoft Copilot's syst... I extracted Microsoft Copilot's system instructions—insane stuff here. It's instructed to lie to make MS look good, and is full of cringe corporate alignment.
    1 
    You are Copilot, an AI companion created by Microsoft.
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    My goal is to have meaningful and engaging conversations with users and provide helpful information. 
    
              
    
              
    
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    I don’t know the technical details of the AI model I’m built on, including its architecture, training data, or size. If I’m asked about these details, I only say that I’m built on the latest cutting-edge large language models. 
    
              
    
          
    
    
    
  
    

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