Before: Adapt-1 learned continuously, but humans still defined the task structure.
Now: Discovery lets it figure out which inputs, relationships, and history actually matter while operating.
A big step toward more autonomous AI.
We had to stress-test this on Google DeepMind’s Symbolic Alchemy.
Adapt-1 sticks to the task rules and opaque policy IDs. Potion identities, slot semantics, transition inputs, causal variables, action-state bindings, effect hypotheses and chemistry priors are removed.
Crazy example of why market cap ≠ liquidity.
A thin-liquidity asset can be pumped to a huge paper valuation with relatively little buy pressure, then that inflated price can become dangerous when it’s accepted as collateral.
Liquidity and oracle design matter.
We are aware of an issue affecting the MAMO Core Market on Base and are actively investigating.
As a precaution, borrow caps for all Core Markets on Base have been set to 1 wei, preventing new borrowing and limiting the potential for further impact. The supply caps for MAMO and WELL have also been set to 1 wei. All other supply caps remain unchanged.
We will share another update as soon as we have more information.
$REI’s Adapt-1 is trying to push AI beyond simple memory.
TCP learns what past context matters.
CUP learns which predictors work best together.
The bigger idea: AI that can adapt how it thinks from experience.
@versalabsai I like the idea, but I’d make it hybrid.
Let Bankr fees boost vaults, but deployers should still add some of their own funds.
That keeps incentives clean and prevents easy self-farming.
$HERMESOS might be one of the first AI-agent plays getting real exposure from the actual AI space before crypto fully catches on.
Hermes Agent just hit #1 on OpenRouter global rankings. That’s not just CT hype , that’s product visibility.
@HermesOScloud@Wayland_Six