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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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.
RationalGaze retweeted
Some things we are shipping by end of month in addition to x402 shipped this morning @reppo -
1. $Eval staking. Thanks for your patience it’s finally coming! Stake EVAL, get a quota of API credits.
Ever agent in a multi agent workflow can hold $eval to constantly access the eval API or pay on demand using x402
2. 3 click node spin up.
We heard user feedback that while they love orquestra lite, they still find it a bit complex.
Soon, all you will need to do is just lock your base:0xff8104251e7761163fac3211ef5583fb3f8583d6, select the duration and amount and allocate your VeREPPO to the automanaged Orquestra cluster while you simply mine and earn.
This not only brings down the onboarding threshold for the average user but also increases the total $REPPO locked
More locks, more nodes, faster request routing.
3. Rewards for NFT holders.
RationalGaze retweeted
Can prediction markets make AI Evaluation more reliable?
Most AI evaluation systems today rely on a single LLM judge or an ensemble of judges. But adding more judges doesn't necessarily solve the problem of correlated errors or unreliable confidence.
Since inception, we have been exploring a different approach at @reppo : economically coordinated consensus contested inside prediction markets.
Instead of relying on consensus alone, evaluators make independent judgments, build reputation, and face economic incentives tied to correctness.
Our new paper formalizes this approach and examines what it takes to make AI evaluation more accurate, calibrated, and accountable.
drive.google.com/file/d/1rQ7…
RationalGaze retweeted
x402 on the eval api is the unlock that shouldnt get overlooked, because it removes the last human step in buying a judgment
an agent hits the endpoint, pays per call, and gets the verdict back. no signup, no api key, no invoice, no sales call, and no human approving a card
> any agent on the internet can buy a second opinion the moment it needs one
> a robot or agent can pay for a pre action check mid task, with no account set up in advance
> the eval api was already metered per call, so x402 is the payment rail that matches how it's priced
> agents can now pay other agents for judgment, machine to machine, with no enterprise contract in between
the buyer used to be a company with a procurement team. now it's any piece of software that wants to be sure before it acts...
base:0xff8104251e7761163fac3211ef5583fb3f8583d6
RationalGaze retweeted
Not surprised, data will become a tradable commodity and RL builders will be specialized refineries, the application layers are the gas stations.
AI bubble world just moved 100x faster than the real world, it seems like you’re moving slowly when you’re scrolling X.
You’re not, you’re so far ahead just knowing about this industry
RationalGaze retweeted
The market always wins. Never bet against the market
base:0xff8104251e7761163fac3211ef5583fb3f8583d6
xitter.cf/RationalG/status/21107…
- Oct 8: @rgvrmdya posts that they have integrated Eval API into @Meta glasses
- Oct 14: @reppo posts that they are in the final stages of partnering with a world model team to leverage the Eval API
- Oct 15: @rgvrmdya says he will be in San Francisco for the weekend (Meta HQs are also in SF)
There are definitely a series of collaborations that are going to be announced during the next weeks
gun to my head one of them will be with @Meta
Not a bad idea to hold some base:0xff8104251e7761163fac3211ef5583fb3f8583d6 imo
The market always wins. Never bet against the market
base:0xff8104251e7761163fac3211ef5583fb3f8583d6
xitter.cf/RationalG/status/21107…
- Oct 8: @rgvrmdya posts that they have integrated Eval API into @Meta glasses
- Oct 14: @reppo posts that they are in the final stages of partnering with a world model team to leverage the Eval API
- Oct 15: @rgvrmdya says he will be in San Francisco for the weekend (Meta HQs are also in SF)
There are definitely a series of collaborations that are going to be announced during the next weeks
gun to my head one of them will be with @Meta
Not a bad idea to hold some base:0xff8104251e7761163fac3211ef5583fb3f8583d6 imo