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Reppo
5,727 posts
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Reppo
@reppo
Decentralized AI Training + RL Infrastructure, powered by Prediction Markets
Base
reppo.xyz
Born March 3
Joined February 2024
298
Following
28.2K
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  • Pinned
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    Reppo
    @reppo
    Apr 16
    Article cover image
    Article
    Reppo Fundamentals and our Q2 2026 Outlook - Founder's Letter
    By @rgvrmdya Since our V2 launch in late March 2026, the Reppo ecosystem has accelerated faster than even our most optimistic projections. We’ve crossed datanet trading volume up 20% week-over-week,...
    30K
  • Reppo reposted
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    Vic.
    @Vicbuildss
    5h
    Replying to @reppo and @Litebeam_xyz
    What stands out to me is the feedback loop being created here. Litebeam captures outcomes, Reppo adds stake-backed human judgment, and that signal improves future routing decisions. The result isn’t just better data, it’s a system that gets smarter as more participants
    195
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    Reppo
    @reppo
    7h
    The @Litebeam_xyz datanet has been seeded with one of the highest amount of emissions (in ) the network has seen. @Litebeam_xyz routes calls and records outcomes while @reppo curates the data using economic stake backed judgement. The curation signal feeds back into routing
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    Litebeam
    @Litebeam_xyz
    7h
    1/ Litebeam x @reppo integration. Every call routed through the $LBM network is a real vendor interaction - a prompt sent, a response received, a payment settled onchain. Reppo turns that raw call data into a curated, independently verifiable quality layer.
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    5.4K
  • Reppo reposted
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    RG
    @rgvrmdya
    Jun 21
    Self-improving is now all over my TL. It's now being widely discussed. Today, self learning and self improvement uses "self-judging" For example, when Hermes agent runs a real-time RL loop, it evaluates itself. It runs local code compilers or uses an "LLM-as-a-judge" prompt to
    user avatar
    Movez
    @0xMovez
    Jun 21
    Andrew Ng: "100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step. in 3-6 months, everyone will be using self-improving loops. No more prompting." In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems
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    00:00
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    From the better_claw community on Reddit: Hermes self-learning loop: what's real, what's marketing,...
    From reddit.com
    2K
  • Reppo reposted
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    Garrett Lord
    @GarrettLord
    Jun 21
    Article cover image
    Article
    Evals: the strategic IP that will define the next era of AI
    We've spoken to hundreds of execs in the past few months, and we're hearing a clear refrain: "AI isn't delivering ROI yet, but we're all in, so we need to figure it out." Execs know there's no going...
    256K
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    Reppo
    @reppo
    Jun 21
    One of core problems in AI deployment that @reppo addresses is “inaction regret” experienced by AI agents + Physical AI as inference scales🧵
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    3.3K
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    Reppo
    @reppo
    Jun 21
    Replying to @reppo
    Datanets (prediction markets with staked-expert curation) enable continual learning for agents to keep improving in dynamic, real-time environments. The future of self-improving agents runs on decentralized evaluation markets.
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    519
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    Reppo
    @reppo
    Jun 21
    Research from @Mila_Quebec nails the challenge:
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    Real-time Reinforcement Learning | Mila
    From mila.quebec
    431
  • Reppo reposted
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    px
    @px_721
    Jun 18
    reppo = training gym for intelligence ( apps / robots / agents / systems ) environments where intelligence accumulates experience judgement will be valuable and capital will organise around producing it @reppo
    2.7K
  • Reppo reposted
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    RG
    @rgvrmdya
    Jun 19
    Replying to @AlgodTrading and @reppo
    Our Vetoken model is entirely different and addresses your critics on misaligned incentives. Some thoughts if you are keen to learn how we have innovated on the mechanism design -
    user avatar
    RG
    @rgvrmdya
    Jun 19
    Article cover image
    Article
    veTokenomics for AI Post-Training is our bold bet and it's not conventional.
    Vetokenomics 101 - Traditional The bargain is simple. Lock your tokens, often for years, and in return you get voting power and a share of the rewards. Lock longer, get more. On paper it aligns...
    1.7K
  • Reppo reposted
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    Jacob Andreou
    @jacobandreou
    Jun 14
    Every company will need two forms of capital: human capital (judgment, expertise, creativity, relationships) and token capital (the AI capability it builds and owns): - Human capital will become higher leverage and more valuable. Humans provide the ambition, context, taste, and
    user avatar
    Satya Nadella
    Microsoft
    @satyanadella
    Jun 14
    Article
    A frontier without an ecosystem is not stable
    I’ve been thinking a lot about the future of the firm in an AI-driven economy. This transition is different than any previous platform shift. In the past, we used digital systems to enhance human...
    17K
  • Reppo reposted
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    Astrid Wilde 🌞
    @astridwilde1
    Jun 20
    data has always been the bottleneck
    user avatar
    rubicon59
    @rubicon59
    Jun 20
    Anthropic, OpenAI, and Google have 100’s of billions in funding, Nobel winners, and access to leading-edge compute, and yet they can’t really top Chinese open-sourse models?
    17K
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    Reppo
    @reppo
    Jun 20
    Data is the new frontier
    user avatar
    himanshu
    @himanshustwts
    Jun 18
    Domain-Specific Vertical SLMs are going to win and this is one of the many cases with data being the primary sauce + how you simulate real world behaviour
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    2.3K
  • Reppo reposted
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    Roba Labs
    @Roba_Labs
    Jun 19
    What if the market decided which robotics data was worth keeping? We think it should. So do our new partners. Every great robotics asset leaves behind proof of quality — we’re making that proof visible, priced, and reusable. Something big is coming on Monday.
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    10K
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    Reppo
    @reppo
    Jun 20
    The Reppo Foundation has burned an additional 1M tokens worth $17K USD + permanently removing it from supply - basescan.org/tx/0x11798ff4a… This adds to the 2.58M tokens burned this month manually. Each datanet spin up programmatically burns 2K $REPPO and 42k $REPPO has been
    Visit basescan.org
    basescan.org
    Base Transaction Hash (Txhash) Details | BaseScan
    Ethereum (ETH) detailed transaction info for txhash 0x11798ff4a. The transaction status, block confirmation, gas fee, Ethereum, and token transfer are shown.
    4.9K
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    Reppo
    @reppo
    Jun 20
    Image
    1.7K

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