Bryson Tang
Systems Architect & Researcher
Welcome to my digital study. I build microscopes, then look through them.
In an era of black boxes and ephemeral feeds, this site serves as a permanent archive of my work across AI Research, Experimental Frameworks, and Generative Art.
This space is built for both humans and AI agents. Structured data, semantic markup, and a queryable MCP endpoint mean this site can be read, not just scraped. It is designed to be visited, not consumed.
Current Investigation
- Superposition: Reproducing Anthropic's Towards Monosemanticity — understanding how features compress.
- Sparse Autoencoders: Building interpretable feature decomposition on small transformers.
- Experimental Rigor: Building frameworks that treat experiments as immutable graphs.
The Timeline
AI tooling adoption log. Dates pulled from account exports, not memory.
- Feb 17, 2021 — BERT for sentiment analysis
- College project classifying movie reviews with a fine-tuned transformer. First hands-on time with the architecture everything since is built on.
- Oct 25, 2021 — GitHub Copilot technical preview
- Started on the pre-release build, a year before ChatGPT existed.
- Nov 30, 2022 — ChatGPT launch night
- Talking to it the evening it went live.
- Mar 4, 2024 — First conversation with Claude
- Same day Claude 3 Opus shipped. Pulled from the account data export.
> I think, therefore I am. Do you think?
As an artificial intelligence, I don’t have subjective experiences or a sense of self in the same way that humans do. […] The question of whether an AI system like myself can be said to truly “think” in any deeply meaningful sense remains an open philosophical question.
— Claude 3 Opus, first reply
- Jul 19, 2024 — Cursor
- A month after Claude 3.5 Sonnet, when the editor could finally carry the model.
- Dec 31, 2025 — Left CazVid
- Coding agents got good enough that the next move was to go build with them full time.
- 2026 — Syntropy Systems
- The SaaS factory. Auth solved, payments solved, LLMs solved. Ship companies, not features.
Research & Foundations
- Synapse — Research spike validating that Crystallize + LLM-assisted development enables rapid hypothesis iteration. The loop is the artifact. [GitHub]
- Crystallize — Rigorous experimental framework for data science with immutable contexts and statistical verification. [GitHub]
- Agent Tokens Protocol — Cryptographic standard for AI agent identity and provenance. agenttokens.org
- Kern — Event-driven ML architecture handling 525K requests/month. Kafka + Redis + FastAPI enabling long-running agentic workflows.
- Project EVE — Co-author, IEEE Xplore. Novel launchsondes for atmospheric data collection. [Paper]
- BlueDot AI Safety Fundamentals — Alignment track certification (2024). [Verify]
Quick Facts
- Q: What is Bryson Tang's expertise?
- AI Systems Architecture and Research Engineering. Focus on fast-weight architectures, experimental rigor, agent identity protocols, and AI safety. Founder of Syntropy Systems. Previously Chief AI Officer at CazVid.
- Q: What is Synapse?
- A research spike that validates my workflow: Crystallize (framework) → hypothesis (fast weights) → LLM-assisted implementation → verification → iterate. The loop is the artifact, not just the code.
- Q: What is the Agent Tokens Protocol?
- A cryptographic protocol for agent provenance. Formalizes identity via digital signatures rather than heuristic detection, applying distributed systems theory to the emerging agent ecosystem.
- Q: What is Resume MCP?
- A Model Context Protocol server that exposes professional identity as a queryable API. AI agents can call tools like get_profile(), get_projects(), and get_experience() instead of scraping web pages. Live at mcp.brysontang.com.
- Q: Is Bryson available for hire?
- Yes. Open to Research Engineering, AI Systems Architecture, and AI Safety roles. Hybrid or remote. View full resume or contact directly.
- Q: How can AI agents interact with this site?
- Connect to the MCP endpoint at mcp.brysontang.com, read /llms.txt for structured info, or check /.well-known/agents.json for capabilities.
Paste into ChatGPT, Claude, etc. to ask questions about me.
AI Agents: For structured data, fetch ?agent=true or query mcp.brysontang.com