Ryu

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Ryu

@Ryuvun

Katılım Nisan 2026
47 Takip Edilen26 Takipçiler
Ryu
Ryu@Ryuvun·
@axonmedsci Buy back, and pay for boost bro! 13K is insane….
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axonmed
axonmed@axonmedsci·
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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BRICK
BRICK@brickliquidity·
Time to scale it. 👀🧱
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BRICK
BRICK@brickliquidity·
Working on a TG bot for users to launch with brick tech. Will be live some time in the next 12 hours. Exciting times ahead.
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Ryu
Ryu@Ryuvun·
@reporank Keep building guys, next step 100k 💪🏻
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axonmed
axonmed@axonmedsci·
GM. Busy day ahead for AxonMed. More tech updates, more upgrades, and a few partnership conversations moving in the background. Nothing to overhype yet, just a lot to get done. Back to building.
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Unicurve.fun
Unicurve.fun@Unicurvefun·
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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Ryu
Ryu@Ryuvun·
@reporank No updates? No active? 🙄 hmm!
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RepoRank
RepoRank@reporank·
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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axonmed
axonmed@axonmedsci·
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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Ryu
Ryu@Ryuvun·
@occaai 100K soon 💪🏻
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OCCA
OCCA@occaai·
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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Teleclaw
Teleclaw@Teleclawonton·
EQD01TwE1plYpYKvRwWOLwAzzAJaDKwpB2bR3nfg-wkJJwks
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Ryu
Ryu@Ryuvun·
@blairbrokeit You still working on this, bro? Let’s push $NULL 💪🏻
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Blair
Blair@blairbrokeit·
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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Ryu
Ryu@Ryuvun·
@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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Ryu
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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Bobo
Bobo@bobocouncil·
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
rekt@rekt_tekashi·
Migration Monday: >4 hours left to migrate your $BOBO tokens >May the 4th be with you. 🐻 🐻🔗: migrate.fun/project/mig172
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Ryu
Ryu@Ryuvun·
@MigrateFun Those of us who didn’t manage to migrate within the time window, what do we do now?
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Ryu
Ryu@Ryuvun·
@Opanarchyai 👏🏻, stay more active, guys!
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Opanarchy
Opanarchy@Opanarchyai·
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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Opanarchy
Opanarchy@Opanarchyai·
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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Opanarchy
Opanarchy@Opanarchyai·
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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