Introducing Entity: a one of a kind software that allows you to run your own local LLMs powered by the https://t.co/Go5h4B8IbQ self-learning loop.
Currently available exclusively for Pro and Max users.
To celebrate the launch, DM me and I’ll set you up with a free Max plan for one month.
https://t.co/rvxvcW3HM8
Introducing Entity: a one of a kind software that allows you to run your own local LLMs powered by the https://t.co/Go5h4B8IbQ self-learning loop.
Currently available exclusively for Pro and Max users.
To celebrate the launch, DM me and I’ll set you up with a free Max plan for one month.
https://t.co/rvxvcW3HM8
100%, that is built directly into how it works. We treat every confirmed lesson like an auditable code commit rather than vague memory slush. Each lesson carries explicit scope, creator provenance, and confidence metadata, with a one-click rollback path. If an instruction is outdated or wrong, you can inspect it, toggle it off, or delete it instantly without destabilizing the rest of your system.
We sandbox everything so nobody has to play internet janitor. When you teach the model, it applies to your scoped adaptation layer, not the entire platform's collective brain. If a user decides to deliberately poison the well with utter nonsense, the only person they've sabotaged is themselves. For anything that actually touches shared systems, automated regression tests and semantic guardrails do the heavy lifting before it ever sees daylight. No crowdsourced moderation queues, no contaminated weights, and definitely no unpaid intern energy.