Explore tweets tagged as #Datanet
The entire team at Datanet IT wishes you a very Merry Christmas. We hope you enjoy a restful and safe holiday season as the year comes to a close.
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.@OpenledgerHQ came up with a smart way to power AI. You upload text, images, or audio to a Datanet Everything is automatically verified and logged on-chain, full transparency Your data actually impacts models, and useful contributions get rewarded with tokens. Bad or
AI keeps getting smarter, but the systems behind it stay a complete black box No one knows what data was used, what model actually ran, or how prompts get filtered That’s why verifiability is becoming the biggest unlock in AI, and why projects like @OpenledgerHQ are getting so
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Studio days always start the same way for me. I open @OpenledgerHQ Studio just to “check one thing”, next thing I know, hours are gone. The interface pulls you in, clean, calm, everything where it should be. I was supposed to finish wrapping up my datanet, but the studio vibes
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did a tiny experiment: spun an onchain agent, fed a small datanet, triggered a model call, and watched granular attribution and usage get written onchain so contributors auto-earned in $OPEN @OpenledgerHQ's Proof of Attribution feels like the new baseline for #AI accountability
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i registered a small dataset into a datanet with @OpenledgerHQ and watched each contribution become a traceable unit. usage got recorded onchain, rewards in $OPEN flowed to contributors. changed how i think about #AI data. thoughts?
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친애하는 X 형님들 언제인지는 몰라도, 그날이 올 때까지는 꾸준히. @SentientAGI 센티언트는 소음보다 구조로 말하고, 홍보보다 기술로 증명하는 팀. GRID라는 프로덕션급 오픈소스 AI 스택, DataNet과 Community Agent 구조, 그리고 이미 나온 성능 지표까지. 타이밍은 우리가 정하는 게 아니고
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mini build tonight turned a messy notes file + a couple onchain feeds into a tiny agent on @OpenledgerHQ steps i took > made a Datanet from a csv > flipped on deterministic hashing for attribution > plugged in Chainbase so multichain data came clean > used Model Factory with
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What’s interesting right now is how different teams are quietly solving different parts of the AI and DeFi stack. >@OpenledgerHQ DataNet gets the data layer right. Not just collecting datasets, but verifying them, tracking provenance, and paying contributors properly. If you
Multi chain DeFi usually means broken bridges, bad routes, and surprise gas spikes. I tried @Infinit_Labs intent system and the difference was obvious. Multiple agents compete and coordinate to hit the outcome you ask for. Stuff that used to take manual bridging and route
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昨晚手痒,用 OpenLedger Studio整了个小众Datanet,补标签、清理元数据、版本化上 OpenLoRA,重跑 provenance。半夜有代理拉取推理,醒来直接看到 $OPEN 入账,链上收据能看懂,归属路径一清二楚,主网的感觉“不抽象”而是实打实的付费AI,舒服了 @OpenledgerHQ
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AI를 쉽게 만드는 것은 쉬운 온보딩을 가능케합니다. @OpenledgerHQ 도 datanet, factory, open models 등으로 단순 선택만으로 chat이 가능한 AI 구현이 가능하죠. 물론, 이 AI가 고도화된 상업적 AI가 될 수는 없습니다. 이 또한 tool이기 때문에 학습할 내부 데이터, open models 코딩 등을 통해
어제 PM 친구들과 연말 회식이 있었습니다. 크든 작든 모든 회사가 AI를 하고 있더군요. @OpenledgerHQ 의 데이터, AI의 연결 툴이 필요한 시점이라는 생각도 들었습니다. 내부 데이터를 연결해 AI를 만드는 게 아니고, 그냥 오픈소스에 PDF를 학습시킨 방식으로는 엔터프라이즈 AI가 아니라 챗봇이
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今天试了下 Creator 玩法,感觉 @OpenledgerHQ 的路子真不一样,给新人也能跑起来的指引放这 1️⃣ 进 Creator journey,完善资料,选方向:做datanet、写模型适配器、或者实操一个小agent 2️⃣ 发原创内容,别水。带案例、带过程,Proof of Attribution会自动打上来源和贡献 3️⃣ 开个迷你rebalancing
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✨Our brand new team shirts have arrived for @officialgotf, Abu Dhabi! 📢Shout out to our sponsors that make Monsoon possible 💪🏼 🔋 @Gensace 🛜 AT & G Datanet #TheGamesOfTheFuture
#GOTF2025
#GOTFAbuDhabi
#GensAce
#ATnGdatanet
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Tried spinning up a small niche Datanet on @OpenledgerHQ yesterday locked 180 annotated clips, let it run for training + inference, and watched Proof‑of‑Attribution anchor cleanly to the tx hash. $OPEN micro‑rewards hit my wallet instantly once usage kicked in Mainnet feels
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지금은 고민할 타이밍 아님. 센티언트는 반드시 챙겨야 한다. @SentientAGI 오픈리서치 → GRID → 엔터프라이즈가 실제로 쓰는 프로덕션급 오픈소스 AI 스택. Community Agent, DataNet, SEAL-0 Bench 성능까지 방향도, 속도도 이미 증명 끝. AGI가 “누구의 것인가”를 두고 싸우는 시점에서
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The part that finally made deai feel real for me wasn’t the marketing, it was the receipts i spun up a small datanet, PoA stitched provenance, someone hit it for inference and the chain spat back a readable receipt with $OPEN in my wallet seconds later. flows > vibes, data use
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GM 我剛在摸 @OpenledgerHQ 的 Proof of Attribution 上傳了一小份語料試用流程,看到 Datanet 註冊、每筆貢獻上鏈、模型用到就自動分配獎勵 和 @Injective 的合作會把這套透明度帶進 DeFi 對做數據生意的人是大改變 $OPEN #AI #OnChain 大家去試試看
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I spun up a tiny datanet on @OpenledgerHQ cleaned labels, stamped provenance, pushed it live, went to sleep. woke up to $OPEN hits from an agent pulling my feed, plus an on-chain receipt that actually shows why i got paid. pay-per-inference is not theoretical here: verifiable
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오랜만에 한 번, @SentientAGI 체크 오픈리서치로 쌓은 기반 위에 GRID라는 프로덕션급 오픈소스 AI 스택을 올리고, 엔터프라이즈가 실제로 쓰는 단계까지 온 팀. DataNet으로 데이터 기여와 검증을 투명하게 만들고, Community Agent 구조로 AI를 ‘쓰는 것’에서 ‘만드는 것’으로 바꾸는 중.
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this morning i uploaded a tiny Datanet to @OpenledgerHQ about 2k records, tried PoA inference, rewards hit my wallet instantly seeing provenance and instant $OPEN payouts makes AI work feel like a real economy. if you create data/models, go test it yourself
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