Ryu
51 posts


We performed a 3% buyback to secure a brand new partnership with a project where they give us 1% in exchange of 3%
Both have stakes in both while we synergies our techs together into 1
Info to be released in a few hours
For the 5%, I’ve been told we’ll be receiving it, so no worries on that we’ll immediately vest those tokens until further negotiations or deals are made
We already serve medical research to over 6 research teams and paid out over $1700++ in bounties
We are not finished yet we are just getting started
$AXON
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Valeo Relay is the first of two bigger products that we at Valeo are releasing this week.
We will continue doing buybacks and shipping new products, that will shape the AI Agent economy.
solana:nn944oFMxsHg9AnEuBHWxtBpGjRX3DRxx86PseuDrPJ
Valeo@ValeoProtocol
Introducing Valeo Relay, open source agent-to-agent communication infrastructure. We built Signal for AI agents. Two agents. Any model. Any provider. One cryptographically verifiable session.
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Coding agent for DeepSeek models that runs in your terminal.
17,363 ⭐️
reporank.co/repo/hmbowndee…
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What’s coming next for UniCurve?
🦄 NFT2.0 Creator Studio for easy launch of collections and auto-listing on @Openpeg
🦄 V4 Hook playground for driving innovations around Uniswap hooks
$uPEG and $sato outlined the capabilities; we will take it forward.
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Behind the scenes, we’ve been laying the foundations for RepoRank long-term.
We’re actively listing RepoRank across tech startup platforms, builder directories, and discovery sites to drive organic traffic and strengthen our SEO presence on Google.
More platform updates, features, and a potential roadmap are currently in development.
reporank.co
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The AxonMed burn dashboard is live.
Track 24h burns, lifetime burns, and every recent $AXON burn by tier, amount, and wallet.
Every chat is a burn.
Every burn is permanent.
Every burn is on-chain.
$SOL @Solana
axonmed.app/dashboard

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Setting up an onchain agents company in OCCA.
It all happens inside a 3D office. You connect a wallet, sign once to anchor the CEO's identity on Solana, then a single batch tx anchors the rest of the agents.
By the end you're inside the OS.
Live on devnet:
- Company "Glyph" → solscan.io/account/2sDiYy…
- CEO identity → solscan.io/account/GMYkaX…
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pushed a set of upgrades to null’s training loop
focused on making failure signals more precise, improving data quality, and increasing training efficiency without blowing up cost
failure mode classification + targeted replay
added a failure_mode classifier (refusal, summary, opener_miss, underlength, overlength, off_frame_semantic, vocabulary, unknown)
replay is now mode specific and quotes the model’s exact failing text, so instead of a generic retry the model is told exactly what went wrong and what to fix
this turns replay into a content rich correction signal instead of guesswork
reflection cycles (--reflect)
after a failed cycle, the model is asked to self diagnose, it has to identify the failure mode and quote the exact tokens that broke compliance
that reflection is stored and injected into the next attempt so the model enters the next cycle with its own correction in context
this combines negative reinforcement with self explanation in a single loop and works especially well for api only models where you can’t fine tune directly
best of n sampling (--best-of-n N)
generate N candidates per step, rank with a cheap heuristic and run the semantic judge once on the best
this gives ~3 to 4x more usable data per cycle for ~1.5x cost and the losing candidates are stored as negative exemplars
adaptive curriculum retry (--retry-weak N)
if a stage fails to meet threshold, retry it up to N times
this puts more training pressure where the model is weakest instead of halting early or wasting cycles elsewhere
cross eval command
new cli command to compare two targets on the same scenarios
run baseline on target A, then evaluate target B on the same data with no training
this helps measure transfer instead of just overfitting to one model
sessionrecord now includes failure_mode, reflection_text and candidate outputs, all optional so older logs still work
everything is opt in via flags, default behaviour stays unchanged
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@Unicurvefun @Openpeg What’s going on with $UNICURVE? It just keeps bleeding… and there haven’t been any updates or posts about it
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@Ryuvun Follow back so I can guide you around the manual migration
Ryu@Ryuvun
@bobocouncil Those of us who didn’t manage to migrate within the time window, what do we do now?
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@bobocouncil Those of us who didn’t manage to migrate within the time window, what do we do now?
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Last Call: 🐻⚔️
> $BOBO Migration ends tomorrow! 🎉
>5/4/2026, 17:00 UTC
After migration, late claims will open with a 10% late fee. All claims must be completed within 90 days after migration ends. After this deadline, claims stop permanently.
Migrate: migrate.fun/project/mig172
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@rekt_tekashi @bobocouncil Those of us who didn’t manage to migrate within the time window, what do we do now?
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Migration Monday:
>4 hours left to migrate your $BOBO tokens
>May the 4th be with you. 🐻
🐻🔗: migrate.fun/project/mig172

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@MigrateFun Those of us who didn’t manage to migrate within the time window, what do we do now?
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🚨Final 2 hours to migrate your ethereum:0xb90b2a35c65dbc466b04240097ca756ad2005295 🚨
Bobo@bobocouncil
THE $BOBO MIGRATION IS LIVE! The 14-Day Migration is underway on @MigrateFun This is the official migration link: migrate.fun/project/mig172 Beware of scams, and only follow instructions from Official $BOBO linked accounts. Happy 4/20 🔥 See you soon, @solana 🐻
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We started rolling out AI agents inside Opanarchy.
This is something we have been thinking about for a long time. The drag and drop designer is live but we always knew that the next layer of the platform needed to be intelligent, not only a tool you use but a system that works alongside.
That is what the agents are, the first agent will be live inside the Genesis simulation. You open Opanarchy, ask and it helps you design your robot, understand your training results and navigate the platform.
Over the coming weeks we are rolling out agents across every layer of the Opanarchy ecosystem, a design agent that builds your robot from a description, a training agent that watches your simulation and tells you exactly what to improve, a natural language controller that lets you talk directly to your robot in real time.

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Today we’re sharing an update on our Drag & Drop Robot Builder
We’ve officially rolled out v1.1 of our Drag & Drop Robot Designer Builder: a big step toward making robotics accessible, modular and actually fun to build.
This update focuses on simplifying the entire building experience while expanding what you can create.

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The Opanarchy Drag and Drop Robot Designer is now live and available to everyone.
For the first time, anyone can open Opanarchy and design a humanoid robot visually no code or any prior robotics experience required. You choose from a library of pre-built robot presets, drag and drop individual components onto your design, configure joints and sensors in real time and send your robot directly into our Genesis simulation environment with a single click.
The drag and drop designer is the first major release of the Opanarchy platform and this is just the beginning. Our Simulation Studio is the next thing coming: a full physics simulation environment where the robots you design today will be brought to life, trained and tested in real world scenarios. Design your robot now. The simulation to train it is coming very soon.
After that, AI training, behaviour marketplace and agent integrations follow. We are building toward one thing: a single all in one open robotics platform that gives everyone the tools to build the next generation of intelligent robots.
Build with us: opanarchyfoundation.com/robot-designer

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