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1.3.0

trey8ight

Trey Bvndo@trey8ight

1

Events attended

1

Submissions made

1 year of experience

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🤝 Top Collaborators

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Dev Wyatt

Ladies and gentlemen, allow me to introduce you to the one and only, the trapper-turned-hacker extraordinaire - he's the man, the myth, the legend - he's the Hackman! "Born in the gritty streets of New York City, the Hackman started out as a trapper, hustling and bustling to make ends meet. But, like a phoenix rising from the ashes, he transformed his life and embarked on a journey of ethical hacking and service leadership. He's like a modern-day Robin Hood, stealing from the rich and giving to the poor - only instead of robbing banks, he's hacking into their systems and exposing their dirty secrets. "But the Hackman is more than just a computer whiz - he's a man on a mission. He's here to awaken humanity to the dangers of unethical hacking and to show us the light of ethical hacking. He's a crusader, a hero, a man of the people. "So, let's give it up for the Hackman - the man who went from trapping to hacking, and who's now using his skills to make the world a better place. Let's hear it for the one and only - the Hackman!"

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Isayah Culbertson

python dev

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Justin Nanton

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Don Duval

Since the pandemic started, I’ve been creating something most people wouldn’t dream of: a digital Ontology of Upward Mobility—a defense mechanism built on data most ignore. Sifting through court records and the skeletons buried in the education system, I pulled together a framework for survival and self-protection. From this came a card game, a deck of questions, each one sharp enough to peel back layers people usually hide. Some of these questions go straight for trauma, stigma, the reasons people lie, especially in dating. It’s a game designed to expose deception by cornering people into confronting what they’d rather keep hidden. And then came the library: a digital arsenal of 2,600 books, each linked to the answers people give in the game, a self-expanding network of information. This isn’t just a collection; it’s a library tailored to its user, shaped by personal insights, each title pointing toward a deeper understanding of how to navigate, survive, protect. I made it as a finalist at lablab.ai with this concept, but that’s not the point. Now, I’m showing others how to build their own defenses—teaching ontology, knowledge management, guiding people to construct their own personal AI libraries, frameworks that don’t just inform but shield. My books walk them through it, helping them shape a digital armor loaded with answers, ready for the complexities they’ll face. This is why I fit this role: I understand what it means to protect, to make technology a barrier against deception and hidden agendas. AI, as I’ve designed it, isn’t just a tool—it’s a weapon against the darkness people carry, a way to see, to safeguard, to stay ahead of what would otherwise consume them.

🤓 Latest Submissions

    AI Library - Education Section Summarization

    AI Library - Education Section Summarization

    This was a collaboration between two finalists in the Open Interpreter Hackathon. Using mixtral-8x7b-24 the large language model for open-interpreter now allows a user to access a llm that beats chatgpt in certain metrics. For our use case we use huggingface as a provider. Meaning this workflow is free of charge. However, the dataset was vectorized using openai due to time constraints. Similar to the open-interpreter toolkit the user is able to have the agent use scripts as tools. The tool we made is query_documents. How the user is not only able to use the agent to sort books, but now they can be queried. This allows for very interesting workflows. One the the future uses of this is to modify the outputs using agentprotocols. We continued the progress of a former hackathon on LabLab.AI found here. The world's first self-coded, self-categorized, and self-sorted library in the world found here: https://lablab.ai/event/open-interpreter-hackathon/2600-books-files-sorted/2600-books-sorted-for-multi-agent-creation. This time we did mass book summarization of the Education category in order to prepare to create an educational administrator agent to practice sales pitches for an AI literacy curriculum. Enjoy the video. Be well. Here's the link to the leaders' project as well: https://lablab.ai/event/open-interpreter-hackathon/open-interpreter-toolkit/open-interpreter-tool-kit

    Hackathon link

    12 Jan 2024

👌 Attended Hackathons

    Mixtral 8x7B: 24 Hours Challenge

    Mixtral 8x7B: 24 Hours Challenge

    At this event, you are challenged to create your own product with the Mixtral 8x7B LLM that overperformed GPT 3.5, and Llama 2 70B on most of the benchmarks. 🕒 24 hours to complete the challenge 💡 Implement any idea that uses Mixtral 8x7B in its core 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator

📝 Certificates

    Mixtral 8x7B: 24 Hours Challenge

    Mixtral 8x7B: 24 Hours Challenge | Certificate

    View Certificate