OPEN (OPEN)

It blows my mind how few are paying attention to the agent layer on $OPEN. It might just end up being the most slept-on part of the whole stack. These agents can actually execute tasks, make calls, settle outcomes, and every action gets logged through PoA. @OpenledgerHQ also built all of this on OP Stack, so it feels fast enough to actually keep up with real workloads. Mainnet already has people creating their own agents. Not massive numbers yet, but enough to show it’s not a larp. Agents with attribution = the path to scaled on-chain AI. Most will only catch on later. 🤝

It blows my mind how few are paying attention to the agent layer on $OPEN. It might just end up being the most slept-on part of the whole stack. These agents can actually execute tasks, make calls, settle outcomes, and every action gets logged through PoA. @OpenledgerHQ also built all of this on OP Stack, so it feels fast enough to actually keep up with real workloads. Mainnet already has people creating their own agents. Not massive numbers yet, but enough to show it’s not a larp. Agents with attribution = the path to scaled on-chain AI. Most will only catch on later.

Been digging deeper into $OPEN datanets lately. And I finally get why people keep calling them “community-owned datasets.” It’s not just storage, the data actually earns when it gets used. Anyone can upload, and the system automatically threads it into models with clean attribution. Feels like the opposite of how big AI companies treat data (hoard everything, reveal nothing). Instead on @OpenledgerHQ it’s: Open pools → permissionless access → contributors actually get paid. Pair that with EigenDA for cheap + fast data availability, and we get scalable AI infra without some massive corporation as the gatekeeper. Ngl it feels more and more like they’re building the data economy part of AI the right way.

gm uploaded a tiny datanet (15 min) into @OpenledgerHQ AI Studio, PoA stamped it, someone ran inference, $OPEN hit my wallet in seconds on‑chain receipts for every run, buyback routing rev back to contributors, OpenLoRA keeping provenance clean feels like farming signal not vanity 20+ datanets, 250k $OPEN campaigns moving boards who else stacking tiny wins this week #DeAI

a lot of people are having a good laugh at $OPEN but save for capital liquidity there is no reason that real estate works any differently to other markets, as @CanadaKaz says look for Opendoor to start to build a giant line of credit akin to an auto leasing business I’m long

I got tired of guessing who gets credit in AI, so I opened OpenLedger Studio and built a tiny niche Datanet. Cleaned labels, tightened metadata, ran provenance with OpenLoRA, published. A few hours later the call receipts showed someone used it and $OPEN streamed in with an onchain trace I could actually read. Work → usage → instant settlement, no chasing payouts That’s the difference with @OpenledgerHQ: Proof of Attribution baked in. Every sample has lineage, every inference has a reward path, and buyback flows route usage back to contributors. This isn’t just vibes either 20+ Datanet live, 11k+ wallets, ~100k tx/24h on mainnet, a prior $5M buyback executed, plus a 250k $OPEN campaign fueling real contributions. They also became the first Gold tier Data Community on Theo Network feeding into Proof of Attention Quick loop to try → upload a small domain set → fix labels + metadata, re-run provenance → watch calls, receipts, and $OPEN accrue Who’s shipping a fresh Datanet this week with receipts you can verify #AI #DeAI #ProofOfAttribution $OPEN?

Most people still look at $OPEN like it’s “another AI chain,” but their model is way deeper. 1. This thing is built around actual value flow: Data, models, agents, they actually earn when they’re used. Actual real-life payouts hitting wallets. On-chain receipts and everything. 2. PoA is a HUGE unlock, and @OpenledgerHQ already built the infra for it. Once attribution is programmable, the AI economy will become much more transparent. 3. IAOs might also end up being their sleeper narrative. Funding models publicly and permissionlessly > waiting for VCs to quietly pick winners. Add OP Stack + EigenDA throughput + legit activity on mainnet, and we've got a chain where AI value actually settles instead of just being marketed. I know it's still early, but they're very obviously onto something.

Spent my morning inside OpenLedger Studio and it finally clicked why @OpenledgerHQ matters I submitted a niche dataset, passed validation, and watched Proof of Attribution stitch a clear trail from my data to model to agent output seeing the reward path light up in $OPEN felt like the opposite of the black box we’re used to Quick guide if you want in: → Log into Studio and pick a Datanet that fits your domain → Submit data and pass validation for provenance → Track your attribution and receipts on every update → Join the Openledger x Theo topics and start Yapping → Gold-tier on @Theo_Network means 3 5× attention weight and direct $THEO yield It’s speed with receipts and autonomy with verification verifiable lineage for signals, traceable attribution for trades, auditable settlement when agents act this is how #InfoFi gets real Who else shipped a Datanet this week and saw their Yaps jump on the leaderboard #TheoNetwork #AIAgent #Yaps $OPEN $THEO