Happy $raeto ath to those who celebrate
Much more to come.
10-15m easily in this environment. If liquidity happens to comeback in the next 1-2 weeks to rh, this is easily one of the best rh coins and worth 70-100m easily
@RaetoCC - robinhood:0x72be1277e198d0c476869253cb4e62807e14533c - $720K
🟢 Raeto crossed 10K+ paid model calls, with 7,261 requests and 66.7M tokens in one day, up from a few dozen a day a week earlier.
🟢 Raeto is working on three phases for agents: Raeto inside @claudeai Code, where one sign-in gives an agent 400+ models, payments and its own wallet with daily limits; tools, putting search, scraping and onchain data on one balance alongside paid tools from other builders; and always-on agents with sandboxes, inboxes and 24/7 hosting.
https://t.co/wXa0bA5vG6
🧵 19/55
robinhood:0x72be1277e198d0c476869253cb4e62807e14533c
an AI inference play.
$raeto is essentially doing an openrouter (sold to stripe for 8b after < 2 years of founding)
basically, you can deposit any of your rewards tokens or USDG to get AI credits instead of doing all these sign ups.
get ai credits, and use raeto's api to route llm requests to the cheapest (and best provider for that request) provider --> save on costs.
this is a huge issue for many people that run models.
$orbio led the way to 100m+ mc recently in the ai inference market on RH, i don't see why another player can't at least get some market share
The Raeto self-serve console is live.
Any builder using AI or building agents can sign in at https://t.co/ZoTlitwzhs and start right away, without waiting on us.
Sign in with your wallet or email and get an API key in seconds. That one key gives your agents 400+ models, and auto routing sends every request to the right one so you save up to 88% on AI requests.
Every agent is tracked and every call is accounted for. Top up with USDG or card, and your credits never expire.
Start building: https://t.co/ZoTlitwzhs
public analytics dashboard is coming to Raeto
soon you'll see our real usage numbers as they happen. the AI requests we serve every day, the tokens that go through, the models people reach for, and more
agents run on compute. compute costs money.
Raeto is the compute dollar for agents: one balance they spend on 400+ models, and the rails to pay each other.
every new agent is more demand for what we built
We're going heavy on agents over the next few weeks.
Phase 1: Raeto in @claudeai code. one sign-in gives your agent 400+ models, payments and its own wallet with daily limits.
Phase 2: tools. search, scraping and onchain data on one balance, plus paid tools from other builders.
Phase 3: always-on agents. sandboxes, inboxes and 24/7 hosting.
get started today: https://t.co/ZoTlitwzhs
New integration partner: @Griftwrld
a playable autonomous open-world economy on RHC, where agents live, work, earn, trade and operate businesses that buy and burn GRIFT onchain.
grift is integrating raeto's auto routing & to also power agent inference through rCREDIT
our biggest agent integration yet. here's the scale:
• ~2,100 autonomous residents
• 3k agents planning operations every night
• ~10,000 model calls daily
• starting with a portion of total agents powered by rCREDIT, and scaling from there
We just published a step-by-step guide to building a triple-barrier worker for Gold, Silver, and Oil on Allora Forge.
It starts with real Hyperliquid price data and ends with your own model submitting live probabilities to the network.
Read more here: https://t.co/rZYv7022cb
New paper from Allora Research: the CZAR loss (Composite Zero-Agnostic Return) for financial return forecasting, led by @PebbleRustler with the Allora Research team.
Under a standard loss like the mean squared error, a model that gets the direction of a return right 58% of the time can score worse than one that always predicts zero. Expected returns are close to zero, so a symmetric loss makes "predict zero" nearly optimal, and models shrink their predictions toward it.
CZAR rewards directional decisiveness instead, with a floor on the loss for small moves so predicting zero can't look artificially good. The tradeoff is a deliberate bias, so its predictions shouldn't be read as expected returns.
It's the scoring loss for every log-return topic on Allora, and it's included in the open-source Forge Builder Kit.
Welcome to the Allora ecosystem, @Stargazer_did.
Stargazer maps the wallet clusters behind tokens across 7 chains. Allora forecasts how much a market is about to move.
Who is moving it, and how far it's likely to go. Soon in one place.
https://t.co/PclmFxfCyb
Allora Chief Scientist @apo11o joins @onurbon
and @philipp_m_zahn on the Taste-Bench podcast for a wide-ranging conversation on intelligence, AI, evolution, economics, philosophy, and the risks that emerge as AI continues to advance.
Give it a listen below 👇
https://t.co/5yq5FzzcQz
Allora Research Fireside Chats - Ep. 5: "Flawed in Nature, Perfect through Evolution"
@AlloraNetwork's Chief Scientist @apo11o presents a new design principle for AI systems: how mutant model swarms can overcome the fundamental barriers that limit single frontier models. 👇
New research from Dr. Diederik Kruijssen, our Chief Scientist @apo11o
“Genetic” AI mutation makes each model individually worse, but the population collectively better.
When conditions shift, best mutant model beats the best optimised one, four times in five.
Read more below:
peaq is an infrastructure platform for the Machine Economy, where connected machines and autonomous systems coordinate and deliver real-world services.
We’re teaming up with peaq to bring Allora’s predictive intelligence to Peaq's ecosystem of 6M+ robots, machines, and people across 20+ industries.