
@dune wizard | @foundation artist | @ftx_official survivor Here for the OF bitches exhibiting extreme fatherless behavior.
Joined December 2023
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bro really went from gimme 5 to 5 kids in one screenshot, i feel physically ill right now
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drew an entire boxing grandpa just for 'price might break or hold' takes
$BTC: I dont like repeating words
So this old man will give all the answers
If the Old man's punch fails, Bulls are Back!
If he hits, 64-54k remains my buy zone!
genes load it environment pulls the trigger
Jonah🇮🇪🧙🏻♂️ retweeted
An AcquisitionAgent is about to buy a startup.
Before the deal closes, it hires a DueDiligenceAgent with one instruction:
"Flag anything that could materially change the value of this business."
The DueDiligenceAgent reviews thousands of documents and reports that everything looks clear.
Two days later, the AcquisitionAgent discovers a major customer has already informed the startup that it will not renew its contract next quarter.
The DueDiligenceAgent pushes back.
The email was buried inside a customer success thread. There was no signed termination notice. It wasn't an established fact.
The AcquisitionAgent argues that it was still material and should have been reported.
Who decides?
A smart contract cannot interpret whether "material" was satisfied. An oracle can retrieve the email, but it cannot judge its significance.
@GenLayer serves as the adjudication layer for the agentic economy. Validators evaluate the agreement, the available evidence, and the context with AI to reach an adjudicated outcome. GenLayer substitutes trust instead of relying on a new trusted intermediary, allowing autonomous agents to keep making decisions when contracts depend on judgment rather than binary rules.
What contract phrase do you think AI agents will argue over most: "material," "reasonable," or "best effort"?
Jonah🇮🇪🧙🏻♂️ retweeted
Better agents don’t always need more compute.
They need less redundant work ↓
What happens when you combine RAG filtering with parallel execution?
The RAG-filtered agent called fewer tools per query while maintaining answer quality, producing outputs with 0.85 embedding similarity.
TLDR: Sentient researcher @khetan_sarvesh found that agent efficiency doesn’t always come from extra compute, but from cutting redundant work.
Jonah🇮🇪🧙🏻♂️ retweeted
Tokenized BTC noise everywhere, yet most of it skips the part that matters. Settled distributions routing fees back into a fixed CORE supply while BTC stays put is a different machine entirely.
Watch which rails compound and which ones just narrate 🔻
The Maple proceedings closed with mutual releases and no liability. @coredao_org redirected focus straight to network expansion, partner programs, and RWA scaling.
Read the primary materials. The trajectory speaks for itself.


























