Tionna WP@thebadasscoder
is under improvement
6
Events attended
2
Submissions made
Hipster // Hacker
United States
5 years of experience
About me
It all started with a whisper leading me into the tech realm after my days at Vassar College. Amidst that time, a pivotal "ah-ha!" moment drove me to tackle personal writing challenges directly. This spark ignited a passion within me, along with my insatiable curiosity, propelling me on a coding adventure across New York City and beyond. New York quickly became my playground, and I found myself thriving amongst tech giants from Google, Tumblr, and even Facebook. I mean...me? Tech? Who would've thought!? Yet, tech became my canvas, a space where I painted my aspirations. Fast-forward to today— here I am on my first AI-fueled hackathon adventure with my TacticalAI squad. As a co-hacker and an innovation enthusiast, I'm all about channeling harmonious creative energies. My commitment knows no bounds. Fully embracing the present, I love crafting new realities and reshaping norms—one AI agent at a time.
is under improvement
🤓 Submissions
Tactical AI
Our project was to run a low cost simultaneous series of agents that interact with the same environmental conditions and collaborate on the same output documents. We initially had the ambition to run 10 Upper Level Suite agents (long term themes/short term goals: 3 year to 3 month); 30 supporting agents (2 week check ups; daily repeat functions) but we were unable to get enough domain knowledge sets for this particular project. So we ran with the domain knowledge we had and eventually decided on testing a "Human - Machine Teaming" model that would be designed to help humans trust the power of the technology without it seeming threatening by identifying the sources of our domain knowledge sets, setting the map of their agenda, storing the information of their agenda in pinecone and synthesizing that with domain knowledge specific to the role. Also, Super AGI has a tool that allows for document modification and that allowed us to have the agents interact on the same document from multiple perspectives. The end result was actionable data with very few errors. The amount of work done in the time to actually set up the agents, set the map of the project and process goals for each agent was nothing compared to the amount of work we received from the agents. It was about 40 hours of labor for 4 people produced in 1 run which you can see the outputs in Github. Anyways, thank you for hosting the space. Be well.
2600 Books Sorted for Multi-Agent Creation
In the neon-lit digital underworld, we wielded the code, Bash, and the terminal like a switchblade in a dark alley. With 2600 books jumbled in a main folder, chaos reigned. But then, we summoned OpenAI's API, a digital oracle, to decipher the cryptic hieroglyphs within those tomes. It read the tea leaves of text, determined the hidden truths, and neatly arranged them into categories, like cards in a deck. Each line of code a sharp stiletto, cutting through the chaos, and the terminal echoed with the hum of virtual triumph. In this digital noir, order emerged from chaos, and the API was our savior.
