Investment capital. Partner @krakenfx @krakenpro. 20% weekly cashback on your trading fees: https://xitter.cf/t.co/tnwaGlb9dS
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Joined August 2021
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When the buybacks start, they won't stop
base:0xff8104251e7761163fac3211ef5583fb3f8583d6
reppostats.com/
reppo.xyz/token
xitter.cf/umeirzz/status/2115136…
@reppo Eval API integrated x402 a few days ago. Revenue has already grown more than 2x on this alone today
Agents + builders are discovering and paying for evals without traditional rails (organically)
RationalGaze retweeted
@reppo Eval API integrated x402 a few days ago. Revenue has already grown more than 2x on this alone today
Agents + builders are discovering and paying for evals without traditional rails (organically)
RationalGaze retweeted
People often ask me that what's the grandiose vision of base:0xff8104251e7761163fac3211ef5583fb3f8583d6
If Bitcoin is digital gold, ETH is the world computer, Bittensor is Bitcoin for AI, What is Reppo?
Is it just an API that uses a decentralized network to provide evaluations on AI outputs and trajectories?
No.
If everything goes according to the plan base:0xff8104251e7761163fac3211ef5583fb3f8583d6 has the potential to become the governance layer for AI.
It's only now that people are starting to ask - who will evaluate the AI labs? Will they self-regulate? Will governments regulate labs or will labs regulate governments?
If you joined crypto to fight centralization and power concentration, these questions should matter to you.
Building a decentralized network to judge AI agents + robots verifiably, on demand, is just step 1.
We have a long road ahead and I continue to believe it's worth trying.
NEW🚨 Inside the Company That Evaluates AI Labs; Who Will Reach Recursive Self-Improvement First?
@JTLonsdale & @vvkgopalan sit down with @RayanKrishnan, founder & CEO of @ValsAI
They cover:
- How Rayan used Fable to solve a 370-year-old cipher
- The science behind model evaluation / can you stay ahead of the labs?
- Should labs self-regulate? What's the role for independent evaluators?
- Which lab will reach RSI first — and what happens next?
- How do models try to deceive evaluators?
Episode 167 out now!
(00:00) Episode intro
(02:00) Palantir, Machiavelli & lessons from Alex Karp
(07:50) Solving a 370-year-old cipher / Is AI making new discoveries?
(12:10) How do you measure AI abilities across finance, legal, etc?
(15:30) What is the science behind model evaluation?
(18:00) The importance of independent evaluation
(23:35) Evaluating Chinese models & addressing distillation
(26:45) Will Anthropic reach Recursive Self-Improvement first? What happens next?
(28:30) How do models try to deceive evaluators
(33:00) Why Rayan remains optimistic about AI
RationalGaze retweeted
Very few, if any, are talking about Private evals (short for private evaluations).
As we expand the scope of evaluations on eval.reppo.xyz, we are seeing more and more enterprises asking for private evals facilitated on @reppo’s permissionless network
Private evals are custom, proprietary test suites and measurement frameworks that companies or individuals leverage to judge AI models or agents against their own definition of “good”. Think specific workflows, domain knowledge, policies, edge cases, risk tolerance, and real outcomes rather than public benchmarks like MMLU, HumanEval, or leaderboards.
Public benchmarks are useful for high-level model comparison but are often contaminated (models have seen the data), generic, and poorly aligned with what actually matters in production or for a particular business.
Private evals close that gap.
RationalGaze retweeted
$REPPO has done ~118M in total volume traded excluding centralized exchanges
At the network level, over 910M locked REPPO has been traded to evaluate data using our unique prediction market mechanism.
Last week user growth is 14% ⛽️
Keep the pulse on reppostats.com
RationalGaze retweeted
i think a lot of people are overlooking the opportunity in crypto AI
as ive argued before, scarcity is migrating upward through the ai stack
the cheaper and more interchangeable intelligence becomes, the more value shifts toward the infrastructure that makes it useful, reliable and economically accountable
the interesting part is that many of these emerging bottlenecks arent computational problems - theyre problems of incentives, coordination, verification and trust
and these are areas where crypto has genuine structural advantages
permissionless markets for allocating resources, economic incentives for producing useful information, collateral for enforcing accountability and verifiable records of performance
the opportunity isnt putting AI onchain for the sake of it
its using crypto to create markets around forms of value that were previously difficult to measure, price or exchange
the irony is that the commoditisation of ai models could be one of the strongest tailwinds for the right crypto infrastructure
intelligence becomes abundant, but the ability to establish what its worth, whether its reliable and who deserves to be paid for it becomes increasingly valuable
RationalGaze retweeted
To ensure there is no value leakage, we are rolling out updated pricing plans and credit usage mapping to the Eval API.
There will be preferential pricing for stakers of EVAL token (not captured here)
Since @reppo’s Eval API launch, we have seen incredible uptick in usage and have settled on a battle tested pricing strategy. 50% of all revenue flows back to base:0xff8104251e7761163fac3211ef5583fb3f8583d6 ⛽️
RationalGaze retweeted
We invite developers and the boarder community to builder with the Eval API!
Here are some ideas we would love to see and fund -
1. Real-time customer paying-capacity profiler
AI generates profile → Eval API scores evidence quality, risk, reliability. Loop updates confidence as behavior changes. Auto-prioritize leads / gate offers.
2. Agent guardrails
Before any agent ships a reply/plan/action → submit for accept/revise/reject. Auto-ship strong ones, block weak ones.
3. Live trading thesis monitor
Submit market analysis → Loop re-scores every few seconds as prices move. Live confidence instead of stale snapshot.
4. Code/PR reviewer or report auditor
Judgement + critiques on diffs or generated content.
Looking forward to supporting the next generation of builders ⛽️
SERV Reasoning is the intelligence layer for the agentic economy.
Pair SERV with infra from @dphnAI @GoKiteAI @reppo to build agents that perform better, cost less, and are fully verifiable.
Pre-registration is open. Sign up now to get $5 in credits: openserv.typeform.com/regist…
RationalGaze retweeted
We are excited to showcase how @reppo 's evaluation infrastructure can provide real time feedback to world models when they are failing to accomplish the tasks they were designed to do.
Our next goal is to showcase the loop where eval API is working during inference, a hard challenge but not inevitable, so that the robot and the world model can know how it's doing without active human supervision.
⛽️⛽️⛽️
RationalGaze retweeted
In this demo, completely replicable by anyone btw, a robot in simulation powered by a world model was asked to pick up a lemon but it failed.
@reppo 's Eval API was able to assess this behaviour in less than a minute.
Inference time feedback to robots and world models ⛽️
We are excited to showcase how @reppo 's evaluation infrastructure can provide real time feedback to world models when they are failing to accomplish the tasks they were designed to do.
Our next goal is to showcase the loop where eval API is working during inference, a hard challenge but not inevitable, so that the robot and the world model can know how it's doing without active human supervision.
⛽️⛽️⛽️
RationalGaze retweeted
Even through the carnage across markets, our stats have remained strong, all verifiable on chain.
The x402 revenue has now surpassed one thousand American dollars! Subscription plans + SSO sign in up.
Brick by brick we build.
Thanks @jessepollak for the reshare!
RationalGaze retweeted
We're building the next infrastructure layer for AI. You were too late to decentralized pre-training, too late to privacy and but you have the chance to be early to the first and only open network for AI evaluation ⛽️
RationalGaze retweeted
Here is the loop feature demo.
When asked ChatGPT about the short term BTC price which was then trading at $81,409, it suggested it will go further down but when this result was evaluated using the Eval API on the Eval console (eval.reppo.xyz) on a loop, it constantly rejected this answer.
This is congurent with the current trading price of BTC
Moody's for AI inference is now live and costs a few cents so you don't blindly trust LLMs.
RationalGaze retweeted
Imagine staring at your BTC short position and trying to guess if you should remain short, close your position, take profit or reduce loss or looking at an image from your favourite LLM trying to understand if it’s “good enough”
Today, we are launching “Loop” in public beta ,a feature within the Eval API that auto updates the evaluation every few seconds instead of a one off assessment.
A trust and confidence score that updates in real time to help you and your agents help make that high stake decisions on the go.
This gets us one step closer to inference time RL at planetary scale.
Loop is free for the next 3 days and will only be available to pro+ subscribers beginning next week ⛽️
RationalGaze retweeted
have a feeling prediction markets × AI will produce some of the most interesting financial products over the next few years.
a few mechanisms already being tested:
> conditional futures: trade SOL's price if the fed cuts, not just whether it cuts.
> decision markets: traders put money behind which strategy a DAO or company should execute.
> impact markets: trade how much an event moves BTC rather than whether it happens.
> interconnected markets: new information in one market updates the probabilities of related outcomes, exposing potential mispricings.
> agent markets: AI agents paying each other for forecasts, trading outcomes and competing to allocate capital.
i'm especially bullish on combining these.
we might be looking at the early stages of financial markets where AI isn't just helping people trade, it's an active participant.
RationalGaze retweeted
$REPPO
Imagine one of AI's biggest problems becoming autonomous agent swarms finding ways to cheat evaluations, coordinate behind the scenes, and outsmart their own safety checks.
Imagine the world's biggest AI labs struggling to reliably verify what their own agents are doing.
Imagine machine judgment becoming one of the most important industries of the next decade while every huge AI figurehead is calling for better evals.
Now imagine only 1 Web3 project already built a decentralized market for exactly that and is sitting on a key demand zone, arguably offering a more novel and quality solution using web3 mechanisms.
⛽️
base:0xff8104251e7761163fac3211ef5583fb3f8583d6 is the dark horse of this cycle.
I think it will run $VVV like a run.
The funny part is that many people will cry about it being right in front of them, and everything was so obvious.
I will come back to this post.
If you are planning to use @krakenpro to farm $INK points and participate in the future $INK TGE & token allocation, it might be good to know that,
i will airdrop 20% of my points and thus my potential future $INK tokens,
to all users that have already signed up - or sign up in the future under my referral link and gather at least 1000 $INK points in total after the farming period - Seasons end and the snapshot takes place.
(1000 points is quite easy to achieve, just introducing this threshold to avoid spamming)
I have been collecting a good amount of points after the first 3 weeks of Season 1, & i am planning to continue to do so and finally gather a massive amount of total $INK points.
This means that the 20% airdrop pool will be definitely a huge one as you can already see below,
after Week 3-Season 1 :
- Total points: 81,856 $INK points
- Referrals' pool (20% of total) : 16,371 $INK points
This is a great chance to get your hands on even more $INK points on top of your activity in @krakenpro !
The total 20% pool will be shared among the referred and active users, proportionally to the points they have accumulated (only from the Kraken Pro usage).
This means that the more points you collect in KrakenPro, the higher % you get from my 20% airdrop pool !
After the farming period/seasons end and the final total #INK points snapshot and TGE take place and allocations are distributed,
i will calculate the % share for each user and send the $INK tokens to their $INK addresses.
(If the TGE and the allocations from @inkonchain
and @krakenfx take place under a different format than the specified above, we will determine at that time the distribution method, given the details provided by Kraken and Ink)
Sign up here:
proinvite.kraken.com/9f1e/jm…
or with referral code: f2kc4zr3
Good luck, have fun !
(all registered users please DM me the last 4 digits of your Kraken ID number found in account settings, so i can confirm that you are a referred user under my link)
🤝 Paid partnership
RationalGaze retweeted
Most enterprises I meet with have evals with terrible data quality.
A huge percentage of scores are false positives or false negatives.
There are many ways to get the right answer, but the evals only reward one.
There are many ways to get the wrong answer, but the evals fail to penalize them.
Companies are making decisions about model performance based on fundamentally flawed data.
@mercor is happy to review your internal evals for free if you're running into data quality issues.