Institutional Growth @sedaprotocol | Building Better Markets

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Im gonna cook a thing
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Replying to @AsadIshmael
base:0x306acd0c07c430abbbb2e74ef7bde94f32a898c0 burn natively triggered with each data request. Built in burns
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Matt | SEDA retweeted
Risk Engines for RWA Collateral are now dynamic per asset through SEDA. - From Real-Estate to tokenized stocks - Parameters adapt per asset, per market conditions - Dynamic: LLTV, borrow threshold + liquidation discount bonuses Build better lending: seda.xyz/contact
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👀
Hmm. Maybe we should turn off inflation? Make SEDA purely deflationary.
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Kiss your own girl man
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lmao 😂 A+ for creativity. More integrations on the horizon! Burn machine fix looking good here!
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Matt | SEDA retweeted
Update: $47B in 24/7 markets powered and 322 Oracle Programs live. More Oracle Programs → More Data Requests → More base:0x306acd0c07c430abbbb2e74ef7bde94f32a898c0 burn.
$44.3B powered by 319 Oracle Programs. 24/7 global markets — Powered by SEDA’s Custom Oracle Infra.
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Robot-Fi by @OntosWorld — Powered by $SEDA
Introducing P37 Neuro, our open-source robot brain at @OntosWorld. For a while, we’ve been working on a question: Can we build a robot brain that keeps working when the body or task changes? P37 Neuro is part of our answer. The system is designed to understand the body it controls, interpret the state of the robot and its environment, follow a task or demonstration, and turn that information into physical actions. A new robot or task shouldn’t always require a completely new model. P37 has an embodiment layer that represents the robot itself, high- and low-level policies for planning and control, and memory that carries context across actions and failures. It also supports reinforcement learning, simulation in MuJoCo and Isaac Lab, and a C++ runtime that connects the learned policy to the physical machine. Around the model, we’ve built the infrastructure for training, evaluation, safety, model releases, fleet feedback, and rollback. The current software path covers P37-E0 through E6. We’ve begun testing the ideas behind the system. A shared model has been trained across different synthetic robot morphologies and evaluated on bodies it had never encountered during training. We’ve also tested demonstration conditioning on unseen tasks, with no fine-tuning during evaluation. For the memory tests, we gave the model information before a simulated failure, then compared its performance when that memory was preserved and when it was removed.
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Replying to @realpeterjm
Autocorrect doesn’t get it. Higher
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peaq
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Matt | SEDA retweeted
SEDA = Custom Data Solutions for Global Markets. → Perps (+$45B YTD) → Lending → IoT Markets → Binary Markets Each data request burns base:0x306acd0c07c430abbbb2e74ef7bde94f32a898c0.
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Use the projection feature at the bottom of trends page. It’s allways been there. Inflation is a Cosmos module you can read it from chain direct too
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Replying to @sedaprotocol
Growth flows to token. Turn on the growth machine.
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Replying to @frogule
Must be cousin to "do it for equity?" right?
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INTRO by The XX on repeat. . . waiting for the final $4B + final API + the next 12hr update to go live. Is SEDA gonna hit our first $50B powered by EOW? Current volume: trends.seda.xyz
$5.2B needed by EOD tomorrow + 1 new partners API missing from the count. More projects. More data requests. More burn.
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Replying to @1__of_1
I was gonna tag mine, but he's chain autistic, not chain agnostic.
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Replying to @kaisrr3a
vouching for @Beanie73_
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$5.2B needed by EOD tomorrow + 1 new partners API missing from the count. More projects. More data requests. More burn.
Calling SEDA's first $50B powered by EOW. base:0x306acd0c07c430abbbb2e74ef7bde94f32a898c0 burn up, volume up, OPs up.
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