I will give this thesis and go to bed hoping it goes viral lol.
I always knew ai harness and self improving Agents will surge. My bets were
$occa,
$delusional,
$styxx $deadulus.
But something changed after
@claudeai released the fable 5. And the then launch of
$mirari. So I had to change my view and thesis completely.
Everything we are seeing and experiencing now will all tie back to the singularity and that's where we are headed towards. Self improving Agents will matter then.
Every meaningful advance in human capability comes from accumulated experience. We don't become experts because we reason better in a single moment. We become experts because failures become lessons, lessons become rules, and rules get reused across thousands of future decisions.
Until now, agents haven't had that luxury/advantage.
They could reason, but they couldn't remember. They could solve problems, but they couldn't systematically improve from solving them. Every session was effectively a reset.
But if you look at what
@EnterMirari are doing rn you'll notice something different.
What makes Mirari interesting is that it treats cognition as a process rather than an output.
Memory is persistent and weighted. Skills are versioned and refined over time. Reflections become prompt improvements. Failures become reusable procedures. Conversations become training material for future behavior.
The most important component is Dream Mode.
When no one is interacting with the agent, the agent continues working on itself. (Bruh).
It stress-tests its own skills. Replays past conversations. Searches for contradictions across memory. Identifies recurring blind spots. Generates proposals for improvement.
The significance is that it develops a structured understanding of why the mistake happened.
$Mirari's Memory Hauntings push this even further. A contradiction isn't treated as an isolated error. Repeated contradictions are tracked as recurring cognitive failures. The system begins mapping its own weaknesses instead of simply logging them.
That moves beyond memory management and into something closer to introspection.
@AnthropicAI's Fable 5 architecture points toward long-running autonomous loops. State files accumulate verified knowledge. Skills evolve through repeated use. Independent verifiers grade outputs. Lessons are distilled into reusable rules.
The pattern is the same:
Fail. Investigate. Verify. Distill. Consult.
Not once.
Continuously.
A model's intelligence is becoming a commodity. Every frontier model can reason, write, code, and plan at increasingly similar levels.
What remains scarce is accumulated experience.
This is what
$null tried to do but failed. This is what
$styxx is still working on and the rest.
2cRSwoNKpEzgcQt1CaU6q2ePKE1c6vz52A9AsKR7pump
Gn. Sub 20k is cheap imo