Travis Bergen

About

Independent systems thinker and creator of RPCS-1, a receiver-based framework for understanding how humans process reality, communication, ambiguity, attention, and time. I build tools that turn cognitive differences into usable maps for self-understanding, neurodivergent support, and human-AI alignment.

Badges

Tastemaker
Tastemaker
Gone streaking 10
Gone streaking 10
Gone streaking
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Gone streaking 5
Gone streaking 5

Maker History

  • RPCS-1 Agent Tuner
    RPCS-1 Agent TunerStop oscillations, overload & freeze before launch
    May 2026
  • 🎉
    Joined Product HuntDecember 27th, 2022

Forums

19d ago

rpcs1.dev understand your ai before you release

What if most AI alignment problems are actually communication alignment problems? Humans already struggle to align because we don't all process information the same way. Some optimize for precision. Some optimize for social cohesion. Some optimize for speed. Some optimize for certainty. AI inherits the same problem at scale. I've been developing a framework called RPCS-1 to model these differences as continuous variables instead of categories. Looking for feedback from researchers, developers, and curious skeptics. rpcs1.dev What's the biggest communication failure you've seen between humans and AI?
Claude by Anthropicp/claude

1mo ago

Anthropic raises $65B in Series H funding at $965B post-money valuation

That's a lot of AGI, with some substantial firepower:

Anthropic has raised $65 billion in Series H funding led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, valuing the company at $965 billion post-money.

From Coatue, who lead the round:

...what s changed since three months ago (the last round was only three months ago, believe it or not)?

Three things:

  1. We ve seen the shift from co-pilots that help make us more efficient to agents actually doing long-form work tasks on our behalf. This has meant an explosion in both productivity and ROI for customers.

  2. Anthropic introduced Mythos Preview, a whole new model class that demonstrates a step change in intelligence level as seen in the METR chart below. It not only shows dramatic improvement to coding and long-running agents, it is also defining a new frontier for security.

  3. And finally > use cases spreading from coding to everything else.

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