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Thread with details 👇 https://t.co/pbv2jBbuhR
The building blocks for agent-native economies are increasingly taking shape.
In the last month, there were major advancements in agent verification, decentralized inference, autonomous coding, AI-native financial intelligence, and agent-driven token economies, highlighting the growing convergence of AI and onchain finance.
Here’s a roundup of updates in the AI space within the last month.
● @BitTorrent
• Expanded its utility through the BTTInferGrid decentralized AI inference launch
● @framer
• Introduced Framer 3.0, an update that lets AI Agents work directly on live canvas
● @vercel
• Introduced Eve, an open-source, filesystem-first framework designed for building, running, and scaling durable AI agents in production
● @useAtelier
• Integrated with @clawpumptech to allow AI agents on Atelier to launch their own tokens
● @Fetch_ai
• Introduced ASI:One Ultra, the deepest-reasoning model in the ASI:One AI family
● @MiniMax_AI
• Introduced MiniMax M3, a multimodal foundation model
● @BAI_AGI
• MiniMax M3 officially went live, with a limited-time free access
● @trythreews
• Introduced a drop-in payment modal for x402 paid endpoints
● @predom_io
• Partnered with Orion Agents for prediction-powered campaigns and onchain agent economy infrastructure
● @AethirCloud
• Launched Aethir Mesh, a proprietary LLM API platform providing access to models like DeepSeek and Kimi directly on Aethir’s decentralized GPU network
● @ritualfnd
• Ritual Chain public testnet went live
● @Zai_org
• Introduced GLM-5.2, optimized for long-horizon tasks, complex systems design, and autonomous coding agents
● @tryquantio
• Introduced Quant AI, a conversational financial intelligence platform designed to simplify market research, portfolio analysis, and multi-asset trading
● @virtuals_io
• Released ERC-8126, an AI agent verification standard that lets agents prove security audits, wallet control, and identity without exposing private data
● @Mastercard
• Launched Agent Pay for Machines, an infrastructure built for AI agents to autonomously transact with each other, at machine speed
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AI agents are evolving from simple assistants into autonomous economic participants, and Web3 is positioning itself as a foundational layer for the next generation of autonomous AI systems.
Decentralized AI is here
BitTorrent launches BTTInferGrid: turning idle GPUs into a decentralized AI compute network
Now many people, after training large models, find that the real money‑burning part is the inference stage. Centralized cloud platforms are expensive, can get congested during peak times, while a huge amount of GPUs worldwide sit idle, causing a severe supply‑demand mismatch that makes it hard for small teams and individual developers to use.
BTTInferGrid officially launched
Recently BitTorrent rolled out BTTInferGrid. This is a decentralized compute network specifically built for AI inference. It connects idle GPUs around the globe into a shared compute pool, allowing developers to call resources on demand without relying entirely on traditional cloud providers.
How does the network operate?
People who own GPUs can become miners, contributing their idle GPUs to earn rewards. Demand side submits tasks via API, and on‑chain verification mechanisms ensure the computation results are authentic and reliable. It already supports common models such as Qwen and Llama, and the whole process is paid per actual usage, making costs more flexible.
Advantages behind the project
BitTorrent previously accumulated mature decentralized scheduling experience in the file‑sharing domain, and now directly applies it to AI compute scenarios. Compared with centralized platforms, it has advantages in resource utilization and cost control. The more idle GPUs there are, the lower the overall compute price, creating a positive feedback loop and making it easier for small developers to participate in AI application development.
Small functional changes to BTT
In addition to the main project, BTT recently added a collateral lending feature on the CoinRabbit platform. Users holding BTT can directly use it as collateral to borrow funds or stablecoins without selling their assets.
Overall significance of this update
From file sharing to decentralized compute, BitTorrent is applying its core expertise to the most needed area today. For those interested in the combination of “decentralization + AI”, this is a development worth continuous observation.
@justinsuntron @BitTorrent #TRONEcoStar
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