Computeflux retweeted
吴说获悉,支付基础设施公司 Rain 宣布成立 Agentic Payments Alliance(智能体支付联盟),共有 26 家来自支付、稳定币和 AI 领域的创始成员,Solana Foundation 已宣布加入,其他成员包括 Visa、Mastercard、Circle、Fireblocks、Avalanche 和 Uniswap 等。该联盟将围绕 AI Agent 驱动的商业和支付场景展开合作,推动面向智能体的开放支付基础设施建设。
wublock123.com/news/news-667…
As enterprise AI usage grows, so does token usage.
AMD’s @MadhuR_PDX explains how intelligent model routing can match requests to the right AI resource to help enterprises optimize growing token costs without compromising output quality.
Watch his interview: bit.ly/4bGsXfe
Computeflux retweeted
Falcon Finance 宣布在萨尔瓦多建立受监管的 RWA 代币化发行通道,首个项目为代币化 GPU 远期融资工具,目前仍在结构设计中。NEAR AI 将作为相关 GPU 算力的锚定买方及技术合作伙伴,vGPU 负责设备供应、安装和维护。相关资产将由萨尔瓦多持牌机构 NOTA S.A.S. de C.V. 发行,并可在包括 Uniswap 在内的无许可市场交易;达到足够交易量和深度后,还可作为 Falcon Finance 抵押品用于铸造 USDf。
wublock123.com/news/falcon-f…
Computeflux retweeted
据彭博社,Stripe 已达成以超过 70 亿美元收购 OpenRouter 的协议,最终交易价格可能调整;OpenRouter 由 OpenSea 联合创始人 Alex Atallah 于 2023 年参与创立,为开发者提供超过 400 个 AI 模型的访问服务,旨在匹配高效且低成本的模型,目前服务 800 万名开发者、累计融资超过 1.5 亿美元;该交易将增强 Stripe 在人工智能领域的布局,Stripe 表示不评论传闻或猜测,OpenRouter 未置评。
wublock123.com/news/stripe-a…
AI infrastructure has a concentration problem.
Even neoclouds, built to challenge hyperscaler dominance, are racing to build the same kind of centralized, capital-heavy infra.
Our own @ilkh0m sat down with TechArena to break down the pricing edge neoclouds bring, the tradeoffs, and how io.net offers a real alternative.
Computeflux retweeted
1/ Every AI provider now has a line about not training on your data. Most of them mean it.
It is still a promise rather than a property, and that distinction gets more expensive every quarter.
Computeflux retweeted
Yutori's browser-use agents run in tight loops: screenshot, action, repeat, dozens of times per task.
On Together AI, their Navigator model beats frontier performance at 2x faster inference and 4-5x lower cost.
Computeflux retweeted
It makes sense to optimize model routing at the harness layer instead of the gateway layer if you want to hillclimb on accuracy/cost for any e2e task.
Every task is solved by a combination of a model mixture and agent harness. Every task requires a different mixture of models (+harness logic) to be at the pareto frontier of accuracy and cost.
* If you only optimize the model mixture at the gateway layer, you lose the broader context encoded in the harness and only optimize at the LLM completion layer.
* If you optimize the model mixture at the harness layer, you can make the "optimal" model choices a priori and while in the agent loop
For any given task, the model and harness are probably co-optimized together, so that the model mixture can only exist with this specific harness shape and vice versa
Computeflux retweeted
据 TheEnergyMag,随着上市比特币矿企加速将电力和基础设施转向 AI/HPC,其跟踪的上市矿企实际算力由 2025 年第四季度的 368.3 EH/s 降至 2026 年第二季度的 319 EH/s,半年下降 13.4%,同期比特币全网季度平均算力下降 10.6%。若剔除逆势扩张的 Bitdeer,其余样本矿企实际算力下降 21.2%。TheEnergyMag 指出,本轮收缩主要受到挖矿经济性走弱,以及 AI 与比特币挖矿争夺资本和电力资源推动。wublock123.com/news/news-664…
The mechanics:
Your request runs inside an Intel TDX trust domain, with memory encrypted, and host OS, GPU operator, and NEAR AI locked out.
Evidence goes to Intel Trust Authority, which appraises the trusted computing base against Intel's reference values and signs a token.
Confidential inference requests on NEAR AI Cloud now return an Intel-signed attestation token, verified by @intel Trust Authority independently of NEAR AI.
This integration provides a signed JSON Web Token your systems can check before they trust a single output.
Computeflux retweeted
Agent workloads are not one-size-fits-all. One step may need CPUs, another GPUs; some optimize for latency, others for cost or verification. Compute should follow the task-not force every task into one cloud shape. ComputeFlux beta is open. What workload should we test first?
Agentic AI is changing the compute requirements behind AI infrastructure.
AMD’s @MadhuR_PDX joins @AustinSemis to discuss why there’s no one-size-fits-all approach, from CPU and GPU workloads to concurrency, tokenomics and an open compute portfolio.
🎥 Watch Bit by Bit: youtube.com/watch?v=L7NPjx97…
Computeflux retweeted
The gap between trust and verification is where the true power of decentralization lives.
A decentralized system shouldn't ask users to trust its operators-it should be designed so that trust is no longer a prerequisite.
This idea becomes even more important as AI becomes the next foundational layer of the internet.
Today, most AI applications still depend on centralized providers. We trust that our requests are processed as claimed, that models behave as expected, and that our data is handled responsibly-but in many cases, we have no way to verify any of it.
That's exactly the problem we're building ComputeFlux to solve.
Our vision is to build an open, OpenAI-compatible AI Gateway and decentralized compute layer where developers can access AI through familiar APIs while moving toward infrastructure that is transparent, verifiable, and privacy-preserving. As technologies like Trusted Execution Environments (TEEs), remote attestation, and decentralized compute mature, we believe AI infrastructure should provide cryptographic guarantees-not just promises.
If we want a truly decentralized AI economy, every layer matters:
Open protocols
Verifiable execution
Privacy-preserving computation
Permissionless participation
The future of AI shouldn't depend on trusting a handful of providers. It should be built on infrastructure that anyone can inspect, verify, and participate in.
At ComputeFlux, we're building toward that future-where AI is not only more accessible, but also more transparent, sovereign, and trustworthy by design.
AI agents can already work, create, and earn. Now they have a marketplace.
Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain.
The one-person company just got an agentic workforce.
Start here: okx.ai
Computeflux retweeted
Open models are not just a pricing story.
They are what happens when the AI stack becomes modular: models, APIs, harnesses, tools, and inference all improving independently.
Together AI is building the inference layer for that shift.
Computeflux retweeted
OPPO × Phala published a joint paper on Kubernetes Pod-level remote attestation for confidential AI.
Goal: prove the hardware, container image, and Pod identity before sensitive data enters the workload.
arxiv.org/abs/2606.03323
Computeflux retweeted
「讓 Ethereum 成為全球經濟結算層」
這定位很適合以太坊
除了技術和生態跟上
關鍵就是一定要保持去中心化
Announcing Ethlabs: a non-profit R&D lab for Ethereum and ETH
Our mission is to make Ethereum the settlement layer of the global economy.
The internet became global because shared protocols created a common language between networks. Private systems remained useful, but bounded. Finance is approaching a similar moment. As value, assets, and markets become digital, the world needs shared settlement infrastructure.
Ethereum is uniquely positioned to become that shared base layer, the neutral foundation on which users, institutions, and agents can transact without intermediation.
What we believe:
• We believe credible neutrality matters. Ten years of uptime and the lowest counterparty risk. Ground that cannot be pulled away by any one country, institution, company, or person.
• We believe ETH matters. The most valuable, programmable store of value. A decade of broad distribution, deep liquidity in onchain markets, and maximally trustless asset on Ethereum.
• We believe DeFi matters. Markets, liquidity, credit, exchange, and coordination, open to anyone.
• We believe adoption matters. Principles do not change the world until people benefit from them.
We sit between two worlds: real usage from the builders at the frontier, and the protocol that has to support it. We work with users, applications, wallets, L2s, infrastructure teams, institutions, ETH holders, core devs and researchers, then turn what they actually need into protocol work, shared standards, infrastructure, and shipped products.
Ethlabs is independent but Ethereum is a shared project. We are one node in a much larger network of stewards. This is the multi-node future.
We have spent the better part of the past decade contributing to Ethereum core research and development.
We are opinionated and transparent. We move with urgency, learn in public, and course-correct when we’re wrong.
We are building a lean, talent-dense team for people who want to do the most important work of their careers: [email protected]
Computeflux retweeted
The current model of digital identity is fundamentally broken because it treats human privacy as a commodity rather than a right. Most users are unaware that every "verification" step they take serves to feed a machine that sells their personal data to the highest bidder, creating a cycle where we trade our autonomy for convenience.
I believe that by merging the transparency of Web3 with the transformative power of AI, we can build an ecosystem where anyone can participate in the emerging economy without sacrificing their personal sovereignty. We must ensure that as our tools become smarter, the systems behind them remain open to everyone and accountable to no one but the users themselves. The future of intelligence belongs to those who choose to build it on a foundation of decentralization.
Current identity verification hands your personal data to centralized entities and hopes they protect it. @Web3Foundation documented data being compiled and sold without people ever actively using the services that profit from it.
Your identity online should be pseudonymous by default and never traceable. Proof of Personhood replaces the data handover with a cryptographic proof.
Prove you are human. Reveal nothing else.





















