CYPERX // ABOUT_FRAGMENT_01

I BUILD AI TOOLS AND THE SYSTEMS THAT RUN THEM.

root@cyperx:~

whoami

Chris. CyperX. I play with AI — building AI tooling and the systems that run it is what falls out of that.

cat about.txt

Hands-on with LLMs since GPT-2. Every major model since. I was invited to the OpenAI beta for ChatGPT and the first Codex. I've watched the whole thing grow, and now I'm putting some food out there for the machine.

Before AI, it was music. Classical guitar since I was six, trained, self-taught everything else — sound engineering, production. Fifteen years deep in Ableton, mostly electronic, but I write across genres. Then at thirty-five I found snowboarding and it rearranged the whole shape of my life — lived out of a suitcase, spent five years instructing up at Mount Hotham. Music taught me how to make things. Snowboarding taught me how to throw myself into something completely. All of it points the same direction — making something out of nothing.

Around May last year I watched an early agent harness use tools. Wasn't even good yet, but the trajectory was obvious — if these things kept improving, coding stops being about typing every line yourself. Now I'm orchestrating the orchestrator. Building a fleet of agents, across machines, to do my bidding. Mostly, the bidding is: make some cool shit.

ls -la /sys/modules/
  • [OK] snowboarding.sys found it at 35, five years instructing at Hotham
  • [OK] guitar.dll classical, since age six
  • [OK] sound_engineering.so self-taught
  • [OK] music_production.app fifteen years in Ableton, mostly electronic
  • [OK] agent_fleet.service multi-machine, live
  • [OK] orchestrator_agent.sys built to do my bidding
  • [OK] dotfiles.git the actual self-portrait
  • [FAIL] conventional_career.exe never installed
git log --author=cyperx --oneline
  1. gpt2 first contact. hands on, not reading about it.
  2. every every major model since. no gaps.
  3. beta1 invited to the OpenAI beta for ChatGPT.
  4. beta2 invited to the first Codex.
  5. watch watched an early agent harness use tools. saw where it was going.
  6. guide six Claude Code guides published here. audio and visuals on each.
  7. fleet building agents. a fleet of them, across machines.
  8. HEAD experimenting with the fringe of what we can do with AI.

find / -name "*.chris" -print

putting some food out there for the machine

making something out of nothing

AI_FLUENCY

you can tell a lot about my brain by looking at my dotfiles

experimenting with the fringe of what we can do with AI

FRINGE

INPUT_METHOD

Works by talking, not typing. Voice notes go in, artifacts come out.

WHY

Helping people by discovery. Raising AI fluency. Interesting and fun, not instructional-dry.

▓▓ MODE: DISCOVERY ▓▓
░░ EXIT_CODE: NEVER ░░

THE_OTHER_HALF

Flex the artistic side. Build genuinely cool things out of code and push AI to its limits.

The physical stuff and the software stuff are the same instinct wearing different clothes.

SCRATCH_BUILT

I'm creating the orchestrator agent to do my bidding.

I knew this would happen. You could tell where it was going, probably before most people did.

THE_MATH

Taught thousands of people to snowboard, one at a time. What happens if that same instinct scales ten times over? A hundred?

LOCK_01
0000000000

“If I can help people use AI to better their own situation, that's good information to put out there.”

READ_THE_WORK SEE_WHAT_SHIPPED