Wing.nft

#Theta_Network $THETA $TFUEL 🍒 $PARAM

[Theta Network @Theta_Network]

Today we are launching our Gaming Services vertical with AI Characters, a new product that lets developers add AI powered NPCs to their games.

Give characters a personality, a background, goals, and a voice, then let players talk to them and watch them respond. 🎮

[Wing.nft @wingnc1]

@onlyskypace 137

[Wing.nft @wingnc1]

@HuaXi46802 不过话说回来，要是套的不是tim，可能真看不出来

[Wing.nft @wingnc1]

@HuaXi46802 ai是不是？好像把TIM套了上去一样，无论说话风格表情手势全都有TIM的影子

[Fourth.Media @fourthmedianyc]

For researchers, access to compute is a major bottleneck. @Theta_Network and @CairoUniv opened the floodgates to #Arabic language teams. theta-token:native #compute #ai #inspaceai #globaladoption

[Theta Network @Theta_Network]

We also enable & support AI research at some of the world's leading universities. It's something we think & talk about a lot.

It's a depressing landscape for academics, 100%. In the early 2010s, academic-only teams produced ~65% of the most compute-intensive AI models. By the early 2020s, that had fallen to ~10%. https://t.co/rCouPlINzP

Frankly, for the compute market to work for academics, it might take a model that isn't purely commercial. It's something the entire industry should be thinking about.

[Theta Network @Theta_Network]

For many real-world AI jobs, the advantage is not simply having the biggest GPU available. It is getting the right GPU, at the right cost, for the result you need.

Read their full report: https://t.co/UsALYIjHQo

Get started with us at https://t.co/jTqfxpPg7Q

[Theta Network @Theta_Network]

By combining H100 and H200 GPUs for demanding workloads with distributed RTX-class GPUs for smaller, parallel tasks, Theta gives AI teams a more flexible and cost-efficient way to scale inference.

[Theta Network @Theta_Network]

We're pleased to welcome City St George's, University of London to Theta EdgeCloud's academic network, our 34th university partner globally & our 2nd in the UK. 🧵

[Jieyi Long | Theta Network @jieyilong]

Excited to share that @Theta_Network’s joint research with Prof. Xiao @ZhenXiaoCornell’s team has two papers accepted to @TheWebConf 2026 (WWW’26)! 🎉
📄 Alzo: Auto-Tuning with Reinforcement Learning for DAG-based Blockchains: https://t.co/4zlrVPOatd

📄 DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs: https://t.co/2sSZ9kj2Jc

The Web Conference (WWW) is a premier international forum on the future of the web, covering cutting-edge research in #AI, decentralized systems, Web3, and beyond.

These two papers connect directly with our long-term vision for Theta EdgeCloud: building intelligent, decentralized infrastructure where AI models, compute resources, and blockchain networks can continuously optimize themselves.

DARA explores how RL-finetuned LLMs can make better decisions under limited data. It introduces:
-- Dual-phase LLM agents: a Few-shot Reasoner for initial planning and a Fine-grained Optimizer for feedback-driven refinement.
-- GRPO-Adaptive: an RL fine-tuning strategy that improves reasoning and numerical precision.
-- Real-world + synthetic evaluation for robust decision-making in dynamic environments.

This direction is highly relevant to EdgeCloud as we build toward agentic AI workloads, model-serving optimization, and intelligent resource allocation across distributed GPU infrastructure.

Alzo presents a hierarchical RL framework for automatically tuning DAG-based blockchains. It addresses the challenge that blockchain performance depends on many interdependent parameters across network, ledger, and node layers.
Alzo introduces:
-- Hierarchical RL: a Meta-Controller for strategic planning and domain-specific Controllers for fine-grained tuning.
-- Safety-aware optimization with resource constraints and a shadow-control loop.
-- Experiments showing higher throughput and lower latency than DQN, Bayesian optimization, and manual tuning.

This aligns with Theta’s blockchain-powered EdgeCloud infrastructure: using AI to make decentralized networks more adaptive, efficient, and production-ready. As always, @Theta_Network remains committed to advancing the intersection of #AI, #Web3, and decentralized infrastructure. Stay tuned for more breakthroughs! 🌐

[Theta Network @Theta_Network]

April was a big one. @Twitch integration for AI Agents, Illinois Tech joining our academic network, TDROP rewards on every dollar of compute spend, @alibaba_cloud & @CloudicianTech joining as an Enterprise Validator & more.

Read the roundup here: https://t.co/RHhuFvYanG

[Theta Network @Theta_Network]

NEW: We just shipped PageIndex for Theta EdgeCloud AI agents. It fixes one of the most common reasons AI agents give bad answers, and the benchmark numbers are worth a look.

It's also already available for your Theta-powered AI agents. 🧵

[Theta Network @Theta_Network]

Professor Yong Zheng's lab at @illinoistech is now using Theta EdgeCloud for research in personalization, recommender systems, and human-centric AI. Our 33rd university.🧵

[Mitch Liu | Theta Network @mitchliu]

Embedding EdgeCloud-powered AI agents directly in Twitch chat opens up a whole world of fan engagement and monetization.

Great job @Theta_Network team. Looking good @yoboyRoyGaming.

[Theta Network @Theta_Network]

@pseudonomia The EdgeCloud client here: https://t.co/rLUyBJXvIe

[Theta Network @Theta_Network]

Theta EdgeCloud AI agents can now be integrated inside @Twitch chat.

To celebrate, we're live now with @yoboyRoyGaming at https://t.co/tIj1zEnsY0

Message "@yoroybot" in Twitch chat to try for yourself!

[Theta Network @Theta_Network]

Theta EdgeCloud GPUs are now live on https://t.co/1K4iFJDjk9, alongside our existing listings on https://t.co/3uYy01Mooz and https://t.co/oljf6fuiTG.

More ways for AI teams to find us, compare our pricing, and pick the GPUs that fit their workload. 🧵

[Theta Network @Theta_Network]

Theta EdgeCloud GPUs are now listed on https://t.co/3uYy01Mooz, where 25,000+ developers and organizations find and compare GPU providers every month. H100s, A100s, and more at 50-70% less than AWS, Azure, and Google Cloud.

[Jieyi Long | Theta Network @jieyilong]

🚀 Big models, now available on demand on @Theta_Network EdgeCloud!

We’ve launched MiniMax-M2.5 (230B) and gpt-oss-120b on Theta EdgeCloud as on-demand APIs. This give developers instant access to massive frontier LLMs without managing infrastructure. These aren’t small LLMs — they’re hundreds of billions of parameters, built for serious reasoning, coding, and agentic workloads.

Check them out today: https://t.co/Sn2gEia2KL

[Wing.nft @wingnc1]

科研界的“算力税”该交到什么时候？现状是：科学家在为全人类思考，却在给云服务巨头打工。

@Theta_Network 正在用 EdgeCloud 拆掉这堵墙。去中心化 GPU 算力 = 更低的成本 + 更多的科研自由。科学进步不该被 AWS 或 Google 的账单锁死。 🧬💻 #Theta #EdgeCloud #DePIN

[Theta Network @Theta_Network]

Academic AI research has been quietly hollowing out for years. Universities once produced 65%~ of the most compute-intensive AI models. By the early 2020s, that had fallen to roughly 10%. It's something we think about a lot at Theta, so we wrote this.

https://t.co/vM4ZhC2qo5