Hacker News: spacebacon

New comment by spacebacon in "I'm building a parallel internet, and it's called The Thinnernet"

spacebacon — Tue, 09 Jun 2026 11:01:33 +0000

This seems like the natural direction for me.

New comment by spacebacon in "Siri AI"

spacebacon — Tue, 09 Jun 2026 10:08:09 +0000

This may support the point further xD

New comment by spacebacon in "[dead]"

spacebacon — Mon, 08 Jun 2026 13:40:38 +0000

Everyone is born a semiotician, no one is born knowing it. Go easy on yourself (and me) for not understanding this yet.

Computational semiotics is now an empirical study.

LLMs are not proto-minds. They are verifiably semiotic infrastructure.

This repository can show you, in real time, how any frozen model arrives at any answer by reading its latent states directly during generation.

Any questions?

New comment by spacebacon in "Universal Memory Protocol – a shared format for agent memory"

spacebacon — Sun, 07 Jun 2026 11:29:38 +0000

A frozen model means the original language models weights are not touched. No fine tuning.

New comment by spacebacon in "Harness engineering: Leveraging Codex in an agent-first world"

spacebacon — Sun, 07 Jun 2026 07:35:25 +0000

Leveraging a better way. No last mile.

https://github.com/space-bacon/SRT

New comment by spacebacon in "Universal Memory Protocol – a shared format for agent memory"

spacebacon — Sun, 07 Jun 2026 01:24:31 +0000

In very simple terms it can provide a full and live audit on how any frozen model arrives to any answer.

New comment by spacebacon in "Universal Memory Protocol – a shared format for agent memory"

spacebacon — Sun, 07 Jun 2026 01:15:54 +0000

It’s the babel fish from hitchhikers guide to the galaxy that can also be the pov gun.

New comment by spacebacon in "Universal Memory Protocol – a shared format for agent memory"

spacebacon — Sat, 06 Jun 2026 21:51:06 +0000

Yes

https://github.com/space-bacon/SRT

I can read any models every thought. No one cares. Not the narrative.

New comment by spacebacon in "AI Can't Care"

spacebacon — Sat, 06 Jun 2026 20:43:10 +0000

A sight for sore eyes. I could use your help.

https://github.com/space-bacon/SRT

New comment by spacebacon in "Transformers are inherently succinct"

spacebacon — Sat, 06 Jun 2026 18:30:56 +0000

You clearly have not read all of my words. Read more.

New comment by spacebacon in "Benchmarks in Leipzig"

spacebacon — Sat, 06 Jun 2026 17:27:31 +0000

On problems this close to active research, seeing the model’s internal reasoning at the points of highest effort is more valuable than pass/fail outcomes alone, which is what SRT-Introspect makes possible on frozen models.

https://github.com/space-bacon/SRT

New comment by spacebacon in "AI Can't Care"

spacebacon — Sat, 06 Jun 2026 16:53:28 +0000

Correct. LLMs are technically semiotic infrastructure. Empirically proven with computational semiotics.

New comment by spacebacon in "Transformers are inherently succinct"

spacebacon — Sat, 06 Jun 2026 12:48:26 +0000

For the downvote. Computational semiotics is empirically proven. Read more.

New comment by spacebacon in "GrapheneOS user reported to authorities for using GrapheneOS"

spacebacon — Sat, 06 Jun 2026 11:48:47 +0000

The manifold of meaning knows better. The days of black box justification machines are over. There is mystical, there is technical, and there is bedrock. Decision plumbing cant hide from the semiotic-reflexive transformer. To the defenders of the proprietary moat: your reality was just rewritten. When you realize we have mapped the semiotic infrastructure you can cut the bs.

New comment by spacebacon in "Ask HN: Why is the HN crowd so anti-AI?"

spacebacon — Sat, 06 Jun 2026 10:22:15 +0000

Why are you so pro AI? I find HN well balanced on the topic. LLMs are consistently referred to in proto-mind or cognitive frames. This is whats truly eye rolling. Push back should be a given. We are not even accurately describing them as semiotic infrastructure yet. We’re just getting started. Expect haters.

New comment by spacebacon in "S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic"

spacebacon — Sat, 06 Jun 2026 09:26:37 +0000

Smart choice imo. One pass with the SRT wipes their moat out overnight.

https://github.com/space-bacon/SRT

New comment by spacebacon in "How LLMs work"

spacebacon — Sat, 06 Jun 2026 07:06:08 +0000

But how do they “think”? This is the only repo that can tell you that.

https://github.com/space-bacon/SRT

New comment by spacebacon in "How LLMs work"

spacebacon — Sat, 06 Jun 2026 07:02:55 +0000

LLMs are semiotic infrastructure. You won’t find a better analogy. The cognitive frame won’t hold.

New comment by spacebacon in "Anthropic proposes a global slowdown of AI development"

spacebacon — Fri, 05 Jun 2026 17:28:51 +0000

SRT can read their models thoughts internally at every step if they decide to use it. The problem is that it lowers a draw bridge over their proprietary moat. So of course it’s a natural time to signal a global slowdown. https://github.com/space-bacon/SRT

New comment by spacebacon in "Ultra-processed foods in the global food system: The role of tobacco companies"

spacebacon — Fri, 05 Jun 2026 15:51:36 +0000

It’s a convincing argument.