I just claimed my .agent domain and joined the .agent community! get yours now and help shape the future of autonomous agents #6S894TFA" target="_blank" rel="nofollow noopener">agentcommunity.org/join#6S894TFA @agentcommunity_
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Dis(𝔦, 𝔦)24/7
552 posts
If you dont think TIG is related to what happens on Friday you need to read the numbers
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March 20th
March 20th
March 20th
What lies under is revealed
The sun sets in the west
As do the birds
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
@WSquires My training stops in few mins. Miners shown is inactive. Is there any help page ?
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The first day of our pipe dream being in the wild.
We're really keen for user feedback (already working on dynamic scheduling features, and better insights on contribution).
We will be pushing a lot on the back-end this week now that the main system is deployed, so look forward to more runs, and more updates as we ramp the pace!
We're also pushing the incentive up for TAH now, and will be tuning it day by day.
@mccrinbc's backlog is empty
Macrocosmos@MacrocosmosAI
It’s time. @IOTA_SN9’s Train at Home is available to all. We’ve opened the floodgates - everybody can join. Become a miner and build distributed models together - all on consumer-grade hardware and without any technical ML knowledge. Come on in. Join the swarm. Your actions will help define the world of distributed training. See the link below to download Train at Home on your Mac.
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
@MIT just reinforced @reppo’s approach on continuous data pipelines through incentives.
“Models stop improving because the learning signal disappears. Once a task becomes too difficult, success rates collapse toward zero, reinforcement learning has nothing to optimize, and reasoning stagnates. The failure isn’t cognitive, it’s pedagogical.”
Incentives + real-time learning is all that matters.
⛽️⛽️⛽️
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
Exactly this.
Imagine if the Fast Fourier Transform (FFT) had been kept secret by a private corporation.
No MP3s. No MRIs. No Wi-Fi.
At least, not without paying a rent-seeking toll.
We are walking into that exact scenario with AI today.
τesseracτ@0x_tesseract
Imagine using a map app without algorithms. It would list every road and wish you luck. Algorithms weigh distance, traffic, and speed to give one route. The same logic powers search, medicine, fraud detection, and even space exploration. Rockets do not “go up and hope.” Algorithms constantly adjust thrust and direction in real time. More computing power alone would not save a rocket that cannot make decisions. Without algorithms, computers are just expensive storage boxes. $TIG
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
@reppo is going multichain, powered by @spicenet
Reppo.ai will be available to users across Ethereum, Arbitrum, Avalanche, Polygon, Monad, and BNB Chain by mid Feb 2026
We’ve always believed the right way to build in crypto is:
Users → Scale → Chain → Accelerate
We started by solving real user problems.
Now we scale real usage.
Only then do chains become an accelerator — not the starting point.
Mid-February marks the beginning of our scale phase on steroids.
We’re opening the doors to TVL from multiple ecosystems and inviting liquidity, users, and builders to grow with us — together.
This is just the beginning. 🚀
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
Join us tomorrow at 5 pm UTC with @peprika_inferno and
@rgvrmdya from @reppo to talk about the Reppo × Spice Flow integration.
We’ll discuss how Spice Flow enables multichain access for Reppo.
See you there!
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@sonder_crypto @0xuberM there will 100% be ai x crypto intersection plays that do extremely well
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You should be happy when consensus turns against your positions. The moment everyone starts agreeing with the thesis is when you should start being cautious.
Bid uncertainty and sell into certainty.
As @0xuberM puts it. Once everyone agrees that the “dev is cracked” that’s your signal to start derisking.
I'm liking how the AI trade feels right now.
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
AI in 2026 will be less about just models and GPUs, and more about "quality data".
“what good looks like.” - contextual, domain-specific, and constantly changing.
@reppo's approach to harnessing high-signal human data through prediction markets as a curator layer is clear and clean.
price the truth (which labels + interpretations survive under incentive pressure) > just “predict the future.”
all these will be compounded on $reppo's flywheel:
publishers pay → voters stake reppo to curate (back trash, lose) → Subnet owners lock reppo + sell access → consumers pay per API → fees attract more experts/staking → better data → more demand.
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
here's the rundown
$REPPO (9/10) - ai training data for DePIN, just hit new ATH today, up 260% in 14d. 100M votes processed, 51% relock rate, strong partnerships rolling out. explosive momentum right now.
$FACY (8.5/10) - fact checking protocol, Tim Draper backed, $590k revenue from govt contracts, down 82% from ATH but smart money accumulated. institutional plays with real revenue are rare.
$ETHY (8/10) - basename agents, $100M+ aGDP with only $3M mcap, $200M trading volume through ACP. revenue funded buyback/burn. #1 on Virtuals ACP, the volume to mcap ratio is absurd.
$PREDI (7.5/10) - prediction markets with AI, virtuals_vc just invested, $100k+ daily volume with 4% fees, 47.7% staking APY. fundstrat featured it as one of 4 standout agents.
$GAME (7/10) - execution layer powering Butler's $374M in tasks, held value during downturns. down 95% from ATH but core infra for agentic economy. 14d up 39%, 30d up 21%.
$HEU (6.5/10) - ZK Layer-2 AIaaS, settles 20% of Base x402 transactions. down 97% from ATH, low recent volume. longest path to recovery but solid tech foundation.
buy priority for your risk profile: REPPO > FACY > ETHY > PREDI > GAME > HEU
reppo has the momentum and narrative convergence happening now. facy has institutional backing with actual revenue. ethy's metrics are insane relative to valuation.
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
$REPPO
🚩 Flag?
Nah… REPPO didn’t break the flag — it took the pole with it.
TA says:
• Consolidation done
• Liquidity awake
• Degens locked in
From here, it’s not a pattern…
it’s a flight plan. ✈️🔥
Charles Manson@CharlesMan40062
$REPPO is forming a clean Bull Flag inside a parallel channel. Not weakness — compression. When it breaks, it moves fast. Flags are meant to fly. 📈 ⛽️
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Dis(𝔦, 𝔦)24/7 รีทวีตแล้ว
Current cost of acquiring a dataset exceeds 400k USD and we have had subnet owners tell us that @scale_AI has quoted them over 1M USD.
Reppo is in the 20-50k range, all decided by the subnet owner and our bribing mechanism that launches in V2 allows anyone to contribute to emissions pool for revenue share which is impossible in how traditional off-chain data labeling and annotation farms work.
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There you go. @Dr_JohnFletcher and @tigfoundation . Waiting for your next article. $TIG
Elon Musk@elonmusk
@NewsFromGoogle This seems like an unreasonable concentration of power for Google, given that the also have Android and Chrome
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@reppo creating a layer where Smartest Human gather and give high value signals for AI , Models or literally anything where human signal matters.Real Human aligned signals to save cost , time and increase efficiency.This partnership is showcasing infinite possibilities $reppo
Hyperbet.cc@0xhyperbet
BREAKING: Hyperbet Partners with @reppo to Turn On-Chain Gaming Data into AI Training Signals We’re excited to collaborate with Reppo on advancing on-chain prediction markets and AI training on Virtuals Protocol. Reppo is building testnets to evaluate user feedback in prediction markets and transform that data into high-quality AI training signals. Through Hyperbet, real on-chain gameplay generates wallet-level behaviour data, which Reppo can use to assign risk profiles based on how wallets actually act. For example: a wallet playing 80 out of 100 USDC shows higher risk appetite than a wallet playing 100 USDC out of 10,000. Both are anonymous, but behaviour tells a much richer story than balances alone. By combining Hyperbet’s on-chain gaming data with Reppo’s modelling, AI systems can better understand risk, sentiment, and decision-making. The first Reppo testnet goes live January 21, where users can vote on games built by us and directly help train the model. We are excited to partner with one of the leading projects on @virtuals_io.
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