Unofficial fan-made twitter page. @Theta_Network guardian. None of my tweets are financial advice. $theta $tfuel

Joined May 2020
“We’re impressed by Theta’s achievements in blockchain video & data delivery. We look forward to participating as an enterprise validator, and to providing Google Cloud infrastructure in support of Theta’s long-term mission & future growth.”—@allenday ↓ chainbulletin.com/theta-labs…
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Theta Flex retweeted
Bots.theta store is in the works on Wave Web. Check it out, no login required unless you want to save. web.oswave.io/tns/bots.theta • Every bot's mascot, rules, listing and knowledge cards are minted on BrainVault v3 on @Theta_Network • Each bot gets its own .theta or .bots.theta name • Users can create, mint and sell bots • Pin any bot to utilize in your workflow • Create bot Sets as complete workflows • Load a Set like Planner → Scribe → Tally → Clerk → Checker and they hand off work like a team • A Mission sets what "done" means, and Checker sends failures back to get fixed Meet CHIEF, your project lead bot • Explain your project and CHIEF asks a few quick questions • It picks the best team of bots from the store or your own pinned bots • It writes each bot's role, goals and what "done" looks like • During a run it routes problems back to the right bot, but never does their job Productivity bots • Planner turns a goal into a dated schedule • Scribe writes the email, summary or post • Tally does budgets and numbers in code, never guessed • Clerk turns messy notes into tasks and decisions • Checker checks the work against its sources
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Theta Flex retweeted
Research at this level needs serious compute. Theta EdgeCloud’s decentralized GPU network gives labs affordable, on-demand power to train on larger datasets and iterate faster. Kookmin joins KAIST, SNU and Yonsei in our growing Korean academic network. blog.thetatoken.org/south-ko…
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Theta Flex retweeted
How it works: a photo might show a person, a bike and a train, but only “person” is labeled. Treating the missing labels as “no” teaches the model wrong answers. Those wrong labels stand out because the model makes large errors on them. The method spots them during training and ignores or corrects them.
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Theta Flex retweeted
Real-world image data is rarely fully labeled. Prof. Kim’s CVPR 2022 paper “Large Loss Matters” found that models learn the true signal first, then start memorizing the gaps as noise. His fix stops that memorization and beat prior state-of-the-art methods on major benchmarks.
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Theta Flex retweeted
🇰🇷 Kookmin University’s AI Vision Lab has joined Theta EdgeCloud’s academic network. Led by Professor Youngwook Kim, the Seoul lab builds vision AI that learns reliably from imperfect data, with work spanning satellite imagery, autonomous driving and medical imaging. 🧵
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Why it matters: every other “Alibaba” link this year was indirect — a partner of Alibaba Cloud, or Ant Group’s ZAN. This is Alibaba Cloud itself, confirmed from its own account. The biggest partner of the year to confirm it themselves.
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This Week in Theta — two weeks, one big name. Alibaba Cloud confirmed a partnership with Theta: signing ceremony at Qwen Conference 2026, a named Alibaba exec quote, and Qwen3.8-Max + Flash live on EdgeCloud now. 🧵
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Thrilled to partner with @alibaba_cloud to bring the latest open-source frontier models to the Web3 world!
Alibaba Cloud is partnering with @Theta_Network EdgeCloud to bring Qwen AI models to Web3-native developers worldwide. This milestone integration extends our frontier AI models, including Qwen3.8-Max and Qwen3.8-Flash, to a decentralized GPU compute network. We are empowering developers with greater flexibility, distributed infrastructure, and direct access to enterprise-grade AI.
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Theta Flex retweeted
WOWOW, HUGE news to close out the year!! Asia’s tech giant @alibaba_cloud just OFFICIALLY announced a partnership with @Theta_Network to distribute their latest #Qwen AI models from @Alibaba_Qwen on #Theta #EdgeCloud!!! 🤠🤠🤠🤠 That means the entire #Theta community and family can now easily deploy and start using the newest #Qwen models. And this came straight from @alibaba_cloud, they announced it FIRST! Massive work by the #Theta team!! 👏👏👏 Letl's JUST GOOOOOOOOOOO theta-token:native base:0x2b1409af77a325ce1bab68aa67c55ffb41f91b42 $TDROP #AI #BTC 🔥🔥🔥🔥👊👊👊🤠😎🥳🥳
Alibaba Cloud is partnering with @Theta_Network EdgeCloud to bring Qwen AI models to Web3-native developers worldwide. This milestone integration extends our frontier AI models, including Qwen3.8-Max and Qwen3.8-Flash, to a decentralized GPU compute network. We are empowering developers with greater flexibility, distributed infrastructure, and direct access to enterprise-grade AI.
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This is a key milestone for the @Theta_Network ecosystem. It demonstrates that decentralized edge infrastructure is ready to serve as a distribution layer for enterprise-grade AI and that the world's leading cloud providers see the value in what we've built,
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Partnerships this week: @alibaba_cloud and @zan_team part of Ant Digital Technologies. In good company. Alibaba is partnering with Theta to bring Qwen AI models to Web3-native developers worldwide.
Alibaba Cloud is partnering with @Theta_Network EdgeCloud to bring Qwen AI models to Web3-native developers worldwide. This milestone integration extends our frontier AI models, including Qwen3.8-Max and Qwen3.8-Flash, to a decentralized GPU compute network. We are empowering developers with greater flexibility, distributed infrastructure, and direct access to enterprise-grade AI.
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Made it official, in person 🤝 Asia Pacific’s largest cloud provider is bringing @Alibaba_Qwen, the world’s most downloaded open model family, to Theta EdgeCloud.
Alibaba Cloud is partnering with @Theta_Network EdgeCloud to bring Qwen AI models to Web3-native developers worldwide. This milestone integration extends our frontier AI models, including Qwen3.8-Max and Qwen3.8-Flash, to a decentralized GPU compute network. We are empowering developers with greater flexibility, distributed infrastructure, and direct access to enterprise-grade AI.
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Alibaba Cloud is partnering with @Theta_Network EdgeCloud to bring Qwen AI models to Web3-native developers worldwide. This milestone integration extends our frontier AI models, including Qwen3.8-Max and Qwen3.8-Flash, to a decentralized GPU compute network. We are empowering developers with greater flexibility, distributed infrastructure, and direct access to enterprise-grade AI.
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Theta Flex retweeted
ngl, I feel like Guardian Nodes don't get talked about enough. Everyone gets excited about new partnerships and AI stuff (me included lol), but there's also a whole network of people helping keep Theta running. Shoutout to the node operators doing their thing 💙
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A KEY STEP IN A QUANTUM ATTACK ON BITCOIN NOW REQUIRES FEWER THAN 900 LOGICAL QUBITS Theta Labs CTO Jieyi Long has developed a quantum circuit performing elliptic-curve point addition on secp256k1, the cryptography used by Bitcoin and Ethereum, with just 874 logical qubits and 2.4 million Toffoli gates. The breakthrough brings the circuit below Google’s previously published upper bounds of 1,175 logical qubits and 2.7 million Toffoli gates. The development could reduce the hardware requirements for a future quantum attack capable of recovering private keys from exposed public keys. However, the circuit represents only one component of Shor’s algorithm, not a complete attack. No full-attack resource estimate incorporating the new design has been published. Current quantum computers remain far from executing such an attack, which would require hundreds of error-corrected logical qubits and tens of millions of quantum operations. The takeaway for Bitcoin is that the theoretical hardware requirements for a quantum attack are falling, but Google’s demonstrated hardware remains far from what’s required.
The core step of a quantum attack on Bitcoin and Ethereum now fits in under 900 logical qubits within Google's gate budget. In three published attack designs, the machine would shrink by zero to about 28%. On October 13, Jieyi Long of Theta Labs posted an 893-qubit circuit to ECDSA Fail, an open benchmark for the point addition that Shor's algorithm repeats to recover a private key. A day later he posted an 874-qubit version. Both stay below the 1,175 qubits and 2.7 million Toffoli gates Google proved for its own circuit in March. Narrower circuits exist, down to 676 qubits, but all of them exceed Google's gate count. The 676-qubit one needs about 150 times as many. Pierre-Luc Dallaire-Demers, a co-author of the ECDSA Fail paper, put the physical saving at 25% for the IonQ, Oratomic and Google attack designs. I checked each one. - Google: about a quarter, if every part of the machine shrank with the qubit count. - Oratomic: nothing with its published codes, and at most 16% with a code sized for 893 qubits. - IonQ: about 28% fewer ions, but longer attempts, because the circuit needs about 1.6 times IonQ's Toffoli gates per addition. Nobody has compiled a full attack around either circuit yet. postquantum.com/security-pqc… #QuantumComputing #PostQuantumCryptography #PQC #QuantumSecurity #Cryptography #Bitcoin #Ethereum #Cybersecurity
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Pleasure to be working with you @zan_team and Ant Digital Technologies. So early and so much to do.
ZAN is a Web3 and AI infrastructure brand under Ant Digital Technologies, delivering secure, scalable, and high-performance services to power business innovation. ZAN and @Theta_Network have formed a deep strategic partnership this year across both Web3 and AI. From underlying blockchain networks to decentralized cloud compute, we are jointly building the core foundation for next-generation digital applications. Our collaboration began in Web3 this June. ZAN officially joined Theta Network as a strategic enterprise validator node, staking $THETA to participate in transaction validation, block production, and on-chain governance. Enterprise validators are the backbone of Theta's consensus layer. By bringing enterprise-grade infrastructure capabilities, ZAN ensures Theta's decentralized network operates with superior reliability and stability. In September, we extended our partnership from Web3 into AI. Through ZAN Router, Ling-3.0-flash-Fin, a financial LLM from Ant Ling, went live on Theta EdgeCloud. This enables enterprises to seamlessly route, monitor, and scale AI integrations, while giving developers direct access to professional tools for financial research, analytics, and agentic workflows. From Web3 to AI, this is just the beginning. We look forward to deeper collaboration as we continue to push boundaries across both frontiers. Whether fortifying Web3 infrastructure or accelerating AI innovation, ZAN and Theta empower builders to simply build.
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Theta Flex retweeted
The core step of a quantum attack on Bitcoin and Ethereum now fits in under 900 logical qubits within Google's gate budget. In three published attack designs, the machine would shrink by zero to about 28%. On October 13, Jieyi Long of Theta Labs posted an 893-qubit circuit to ECDSA Fail, an open benchmark for the point addition that Shor's algorithm repeats to recover a private key. A day later he posted an 874-qubit version. Both stay below the 1,175 qubits and 2.7 million Toffoli gates Google proved for its own circuit in March. Narrower circuits exist, down to 676 qubits, but all of them exceed Google's gate count. The 676-qubit one needs about 150 times as many. Pierre-Luc Dallaire-Demers, a co-author of the ECDSA Fail paper, put the physical saving at 25% for the IonQ, Oratomic and Google attack designs. I checked each one. - Google: about a quarter, if every part of the machine shrank with the qubit count. - Oratomic: nothing with its published codes, and at most 16% with a code sized for 893 qubits. - IonQ: about 28% fewer ions, but longer attempts, because the circuit needs about 1.6 times IonQ's Toffoli gates per addition. Nobody has compiled a full attack around either circuit yet. postquantum.com/security-pqc… #QuantumComputing #PostQuantumCryptography #PQC #QuantumSecurity #Cryptography #Bitcoin #Ethereum #Cybersecurity
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Replying to @jieyilong
@jieyilong wow, go @Theta_Network. Core step of a quantum attack.
The core step of a quantum attack on Bitcoin and Ethereum now fits in under 900 logical qubits within Google's gate budget. In three published attack designs, the machine would shrink by zero to about 28%. On October 13, Jieyi Long of Theta Labs posted an 893-qubit circuit to ECDSA Fail, an open benchmark for the point addition that Shor's algorithm repeats to recover a private key. A day later he posted an 874-qubit version. Both stay below the 1,175 qubits and 2.7 million Toffoli gates Google proved for its own circuit in March. Narrower circuits exist, down to 676 qubits, but all of them exceed Google's gate count. The 676-qubit one needs about 150 times as many. Pierre-Luc Dallaire-Demers, a co-author of the ECDSA Fail paper, put the physical saving at 25% for the IonQ, Oratomic and Google attack designs. I checked each one. - Google: about a quarter, if every part of the machine shrank with the qubit count. - Oratomic: nothing with its published codes, and at most 16% with a code sized for 893 qubits. - IonQ: about 28% fewer ions, but longer attempts, because the circuit needs about 1.6 times IonQ's Toffoli gates per addition. Nobody has compiled a full attack around either circuit yet. postquantum.com/security-pqc… #QuantumComputing #PostQuantumCryptography #PQC #QuantumSecurity #Cryptography #Bitcoin #Ethereum #Cybersecurity
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