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space-bacon/SRT

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Adapters and probes that read frozen LLM hidden states, and measurements of how that read-out carries across models, precision, hardware and modality.

14 mentions on Hacker News by 1 person: 1 story, 13 comments · first 2026-05-06 · latest 2026-06-07

Mentions per year 14 mentions · busiest year 2026 (14)
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  1. Leveraging a better way. No last mile. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-07 · in Harness engineering: Leveraging Codex in an agent-first world
  2. Yes https://github.com/space-bacon/SRT I can read any models every thought. No one cares. Not the narrative.
    comment by spacebacon · 2026-06-06 · in Universal Memory Protocol – a shared format for agent memory
  3. A sight for sore eyes. I could use your help. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-06 · in AI Can't Care
  4. …than pass/fail outcomes alone, which is what SRT-Introspect makes possible on frozen models. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-06 · in Benchmarks in Leipzig
  5. Smart choice imo. One pass with the SRT wipes their moat out overnight. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-06 · in S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic
  6. But how do they “think”? This is the only repo that can tell you that. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-06 · in How LLMs work
  7. …bridge over their proprietary moat. So of course it’s a natural time to signal a global slowdown. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-05 · in Anthropic proposes a global slowdown of AI development
  8. Now do it without the fine tuning. https://github.com/space-bacon/SRT The HF zool4nd3r demo may be useful
    comment by spacebacon · 2026-06-05 · in Fine-tuning an LLM to write docs like it's 1995
  9. No fine tuning required. You can use the SRT adapter. https://github.com/space-bacon/SRT
    comment by spacebacon · 2026-06-05 · in Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate
  10. This one is and should be adapted to every frozen model ASAP. https://github.com/space-bacon/SRT Significantly improve every frozen model overnight. LFG.
    comment by spacebacon · 2026-06-04 · in Anthropic's open-source framework for AI-powered vulnerability discovery
  11. Yes, it takes three to tango. https://github.com/space-bacon/SRT This repository empirically proves computational semiotics.
    comment by spacebacon · 2026-05-09 · in Teaching Claude Why
  12. Related: https://github.com/space-bacon/SRT This repository empirically proves computational semiotics. The only “metacognitive” (2nd order) and metapragmatic (3rd order) model I’m aware of.
    comment by spacebacon · 2026-05-08 · in Hallucinations Undermine Trust; Metacognition Is a Way Forward
  13. Attach the SRT to your frozen model Anthropic. Problem solved. https://github.com/space-bacon/SRT .
    comment by spacebacon · 2026-05-07 · in Natural Language Autoencoders: Turning Claude's Thoughts into Text