OpenX Network is a P2P permissionless AI protocol. What Bitcoin did for money OpenxAI does for intelligence. https://xitter.cf/t.co/Ux64KeIsaK

Joined February 2025
OpenX Network retweeted
Own 1 now generates an image in 9.9 seconds. A month ago, it took 7.6 minutes. Approximately 46× faster, with 226 measured runs tracking our progress in internal benchmarks. That means less waiting between an idea, an image, and your next revision. Proud of the team behind this progress. We’re continuing to improve what your Own 1 personal AI computer can do. Full benchmarks: ownx.co/benchmarks
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OpenX Network retweeted
Today we’re showing Own 1 to the world for the first time. This is what we’ve been building, and why. The danger of AI is real, and I’m glad the smartest people in the industry are now saying so out loud. But most of that conversation is about the labs and the models. Very little of it is about you, and what you’ve already handed over. We’ve spent years researching AI privacy, long before it was a headline. The more we looked, the clearer the problem became. You tell AI things you’d never say out loud. A symptom you wouldn’t Google. A secret you haven’t told your partner. An idea you haven’t protected. A decision you can’t undo. More than 2.5 billion messages a day go to one platform alone. A lot of them are things people would never say to another person. In the social media era we traded privacy for convenience. We shrugged. This time the price is your thinking. Your mind. Your identity. Facebook had to guess 52,000 things about you from the outside. Your AI doesn’t guess. You tell it. Facebook knows who your friends are. Your AI knows what you argued about last night. It doesn’t see what you’ve decided. It sees you deciding. And this is the part most people haven’t noticed yet. ChatGPT and Claude know almost everything about the world. What they learn about you doesn’t belong to you, and it doesn’t compound in your favour. It sits in their logs. So here’s a fun exercise. Get your own local AI agent. Run it for a couple of months. Work with it every day and let it learn you. Your files. Your decisions. How you actually work and think. Over time it builds something no frontier model can give you out of the box: your Personal Accumulated Intelligence, PAI. And you’ll be surprised how often it serves you better than the latest frontier model. It doesn’t have to be the smartest model in the world. It just has to become the smartest AI for you. Every model is getting smart. They’re converging. What won’t converge is what each one learns about you. Your PAI becomes more valuable than switching to the next, bigger model. Because it isn’t chat history. It’s your ideas, your knowledge, your intellectual property, built over years. So the real question is simple. Do you want to own that, or do you want someone else to? Right now, someone else does. You’re building your entire AI life inside their platform. The better it knows you, the harder it is to leave. That isn’t a bug. That’s the business model. The lock-in of this decade isn’t an app store. It’s your memory. I don’t accept that. You should be able to leave a platform without leaving yourself behind. There are two kinds of AI. The kind you rent. And the kind you own. Your intelligence is yours. Owning it should be a right, not a feature. So today we’re introducing a new architecture for personal AI. Scalable Private Intelligence. SPI. SPI is not a product. It’s a new layer in the stack, and I think it will matter as much as the ones before it. The idea is simple. Your intelligence is your memory, context, files, workspace, identity, preferences, agents and workflows. Execution is models, GPUs, clouds and devices. Every platform today fuses the two and locks you inside. SPI separates them. Every major shift in computing was a separation like this. Operating systems separated software from hardware. Virtualization separated workloads from servers. Cloud separated deployment from owned infrastructure. Each time, the thing that got separated became portable, and the layer that made it portable became one of the most valuable platforms in the industry. SPI separates your intelligence from whatever happens to run it. That changes who holds the power. Today the model is the asset and you are the data. Under SPI, the model is a commodity you swap in and out, and your PAI is the asset. Models become replaceable. Compute becomes routable. You hold the thing that compounds. To make that real, SPI defines a set of guarantees that any system has to meet. Your intelligence lives in a portable state you can export, import and migrate, with a full audit trail. The keys that encrypt it are yours, not a vendor’s. Memory is independent of any model, so it survives when the model changes. Compute can route to any device, server or cloud without re-provisioning. Every agent runs under permissions and a budget you set. Private by default. Scalable when you need it. Independent by architecture. Today it’s an architecture we’ve built and shipped. Once the specification is published and anyone can implement it, it becomes a standard. That’s where this is going. What you get with SPI, in one line: your entire AI life in one encrypted package that you own, that runs on your own hardware, and that you can move to any computer, server or cloud without losing a thing. How we do it: three pieces, built to work as one. OwnXOS, an AI-native operating system that holds your intelligence. Own 1, a personal AI computer built to run it at home. OwnXCloud, a compute network that gives it more power the moment you need it, under rules you set. The OS is the key. Everything about you lives inside it, so wherever the OS runs, you run. Install it on Own 1 today. Move it to a bare-metal server or a hyperscaler tomorrow. Same OS, same agents, same memory, same permissions. Nothing resets. That’s what makes the intelligence yours instead of theirs. Now the details. OwnXOS is lightweight and ships as a single package: open-weight models, our flagship super agent Nexy, and every tool and dependency it needs. Built on a NixOS base, so the entire machine is defined as code, updates are atomic, and you can roll back to any previous working state with one command. Keys are bound to the hardware with TPM2 and the disk is fully encrypted, so a stolen drive is useless. Agents aren’t apps bolted on top. Identity, permissions, memory, budgets and audit history are built into the OS itself. Every agent has a wallet with a spending policy it cannot exceed, paying for models, APIs and compute over x402 in stablecoins, and every action leaves a receipt. The OwnApp Store ships with models, agents, skills, MCPs and datasets, and it shows you plainly which models you can actually own and run offline, and which ones are just an API call to someone else’s building. Own 1 is the computer built for it. A powerful, energy-efficient personal AI computer with 99 TOPS on device, up to 96 GB of unified memory and 8 TB of replaceable encrypted storage, in a fanless, silent aluminium body smaller than a sheet of A5 paper. It runs two local LLMs and eight agents at the same time, around the clock, for about $8 a month in electricity. Up to ten people can share one machine. Need more? Plug in an NVIDIA card over PCIe, or stack four units into a single pool. OwnXCloud is the overflow. When a job needs more than a desk can give, it routes the work across 34 providers in 482 regions at the right price, in the country you choose. On-device first. OwnXCloud second. A frontier API only if you approve it, every time. Nobody knows who builds the best model in 2030. We don’t need to bet on it. You just keep yourself. And the code is open. The labs are beginning to open their systems to outside inspection, and that’s the right direction. We go further. With OwnX, anyone can read the code, evaluate it and break it, and we’ll pay them when they do. The system that holds your mind should be open to everyone, not just the people with the right badge. We can’t fix every risk of AI with a computer, and we’re not claiming to. What we can do is make sure that when you use AI, it works for you, remembers you, and belongs to you. That’s worth years of our lives. To our engineering and product team: you worked around the clock for months, almost seven days a week, on something most people said was too hard or too early. Thank you. This launch is yours. Not less intelligence. More human control. Say hello to Own 1. checkout.ownx.co/
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OpenX Network retweeted
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Meta has released Muse Spark 1.3, their fourth Muse Spark model release in five months. Muse Spark 1.3 (max), which is in limited preview for Meta’s partners, scores 62 on the Artificial Analysis Intelligence Index, behind only Claude Fable 5.1 and Claude Opus 5. The variant available now, Muse Spark 1.3 (xhigh), scores 61 and ties with GPT-5.6 Sol (max) and Grok 4.6 (high). Both variants’ gains come primarily from improvements in agentic work and scientific capabilities Muse Spark 1.3 (xhigh) enters the Artificial Analysis Intelligence Index at 61, up 4 points from Muse Spark 1.2 (57, August) and 8 points from Muse Spark 1.1 (53, July). It enters tied with GPT-5.6 Sol (max), Grok 4.6 (high), and Claude Opus 5 (high), and behind Claude Fable 5.1 (max, 66), Claude Opus 5 (max, 63), and Claude Fable 5 (max, 62) Muse Spark 1.3 (max), which is in a limited preview stage, lands at 62. This higher index score is enabled by gains vs. Muse Spark 1.3 (xhigh) in Tau3-Bench Banking (52% vs. 47%) and GDPval-AA v2 (1,754 Elo vs. 1,709). Muse Spark 1.3 (max) is second only to Claude’s Fable and Opus variants in total score Congratulations to @AIatMeta, @finkd, and @alexandr_wang on the release! Key Takeaways: ➤ Continued improvement on agentic knowledge work tasks. At the launch of Muse Spark 1.2, we noted its significant gains in agentic knowledge work performance vs. Muse Spark 1.1. The latest iteration continues this trend, with Muse Spark 1.3 (xhigh) demonstrating a notable 12-point gain vs. Muse Spark 1.2 in Tau3-Bench Banking (35% to 47%), a 5-point gain in Terminal-Bench 2.1 (80% to 85%), and a new GDPval-AA v2 Elo of 1709 against its predecessor’s 1615. Muse Spark 1.3 (max) improves further on Tau3-Bench Banking (52%) and GDPval-AA v2 (1,754 Elo). This Tau3-Bench Banking score is #1 among all models. Muse Spark 1.3 (max) achieves these higher agentic work scores by using more turns and total reasoning tokens, reasoning 62% more on GDPval-AA v2 and 28% more on Tau3-Bench Banking compared to Muse Spark 1.3 (xhigh) ➤ The lowest cost per task for any model at 59+ on the Artificial Analysis Intelligence Index. Muse Spark 1.3 (xhigh) costs $0.55 per Intelligence Index task at Meta's unchanged $1.25/$4.25 per 1M token pricing ($0.15 for cached input), with its peers GPT-5.6 Sol (max) and Grok 4.6 (high) costing $0.95 and $0.94 respectively, a 70%+ premium. This places Muse Spark 1.3 (xhigh) on the Pareto frontier for Intelligence vs. Cost per Task. Its cost per task is higher than Muse Spark 1.2 ($0.40 per task), driven by ~57% more input tokens per task on agentic evaluations, with output tokens up only ~8%. Pricing for Muse Spark 1.3 (max) is not yet publicly available ➤ Scientific Reasoning results rose across the board, led by CritPt. CritPt was the standout non-agentic score gain vs. Muse Spark 1.2, with a material +8 points for the xhigh variant (18% to 26%), and GPQA Diamond achieved +4 points (90% to 94%), while Humanity’s Last Exam and SciCode each gained a more modest 2-3 points (45% to 47% and 56% to 59%, respectively). Muse Spark 1.3 (max) achieved roughly similar scores to the xhigh variant, gaining 2 points in Humanity’s Last Exam, tying on GPQA Diamond, and losing a point on CritPt vs. Muse Spark 1.3 (xhigh) ➤ Minor regressions in only two evaluations. Both Muse Spark 1.3 (xhigh) and Muse Spark 1.3 (max) dropped 4 points in AA-LCR (83% to 79%) when compared to Muse Spark 1.2, and AA-Omniscience (Accuracy) fell 3 points for xhigh and 1 point for max. The drops in AA-Omniscience (Accuracy) are due to a higher abstention rate (not answering questions when unsure), which also lowered the hallucination rate for Muse Spark 1.3 (xhigh) Other model details (xhigh variant): ➤ Context window: 1M tokens, unchanged from Muse Spark 1.2 ➤ Pricing: unchanged from Muse Spark 1.2: $1.25/$4.25 per 1M input/output tokens, with cache hits discounted to $0.15 per 1M ➤ Input modalities: text, image, video ➤ Availability: Meta's first-party API and Muse Code
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OpenX Network retweeted
🚀Qwen3.8-Max just got upgraded. Meet Qwen3.8-Max-0902! 2.4T parameters. 1M context tokens. Built for real world complexity. Further post trained on Coding & Cowork, Qwen3.8-Max-0902 now delivers stronger performance across complex enterprise tasks, scientific research, and long horizon workflows. 💰Pricing per 1M tokens: $2 input, $6 output. $0.17 explicit cache hit, $0.25 implicit cache hit. Now live via API on QwenCloud. Come try it! 🙌 API: qwencloud.com/models/qwen3.8…
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OpenX Network retweeted
Artificial Analysis Intelligence Index puts Qwen3.8-27B at DeepSeek V4-Pro and GPT 5.6 Luna performance. This is the first time a local model has scored frontier model capability. We weren’t expecting this pace of local progress anywhere near this soon.
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OpenX Network retweeted
An hour of agentic computer use may now be cheaper than an hour of human labor: Computer-use agent: $6-8 Offshore outsourced talent: ~$10 US talent: $30-45 "The math only gets better - inference keeps getting cheaper, and open-source models are getting good enough for a growing share of these workflows." The data on computer-use agents, from @fabrisera2000, @seema_amble, and @zephratic: a16z.news/p/can-agents-use-a…
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OpenX Network retweeted
MiniMax H3 by @MiniMax_AI is 2nd overall on Video Arena with an Elo of 1325. This is a 209 Elo increase from @MiniMax_AI’s previous video model, MiniMax Hailuo-2.3 (Pro), putting them behind Gemini Omni Flash by @GoogleDeepMind and ahead of Seedance 2.0 Mini by @BytePlusGlobal. With this performance, they establish themselves as the 2nd video lab overall. Among open weights, the model is 1st overall, ahead of LTX 2.3 by @Lightricks and Kandinsky 5.0 Pro by AI-Forever. By a substantial gap, MiniMax has set a new SOTA on open weight video generation. Congratulations to the @MiniMax_AI team on the achievement!
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OpenX Network retweeted
Exciting news: Qwen3.8-Max by @Alibaba_Qwen is #2 in Image-to-WebDev Arena! With 1,631 pts, it’s trailing only Claude Opus 5 (Max) by 39 pts! Congrats again to @Alibaba_Qwen on this huge release!
📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub:github.com/qwen-code-dev-bot… - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max! 🚀 📖 Blog: qwen.ai/blog?id=qwen3.8 ✅ Qwen Studio: chat.qwen.ai/?models=qwen3.8… ⚡ API: qwencloud.com/models/qwen3.8…
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OpenX Network retweeted
Stablecoin volume on Base... 2025: $17.5T 2026: $26.1T There's still 5 months left of 2026
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OpenX Network retweeted
The OpenX Network is growing. > Google Cloud. > Vultr. > Hivelocity. > Hyperstack. > Cherry Servers. More cloud. More bare metal. More GPU capacity. More choice for builders. Provider by provider, OpenX is connecting the world’s compute. And we are just getting started.
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OpenX Network retweeted
happy birthday ethereum proud to be building together
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OpenX Network retweeted
They are coming!
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OpenX Network retweeted
New Breakthrough in AI Privacy > Open access > Open source > Privacy, independence and user control > Permissionless. Unowned. Check out our latest benchmarks. openxnetwork.org/innovation
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OpenX Network retweeted
Happy New Year everyone. Grateful for the team, ambassadors, builders, and the community who showed up every day. 2025 was a builder’s year, and we shipped an insane amount of real progress together. > Delivered a fundamental breakthrough in the AI industry, transforming how AI apps and companies are created by eliminating traditional banking, payments, and corporate barriers through decentralized P2P networks. > Surged to a $100M Market Cap in 1 minute and $200M FDV in 5 days during the September 2025 Token Generation Event (TGE). > Ranked as the #2 Largest AI Project on Base by market cap during launch week, shattering ecosystem expectations. > Named "Company of the Week" by HackerNoon (Oct 2025), capturing the attention of 4 million+ tech enthusiasts. > Built a Global Community of 43,000+ members and 3,000+ active developers deploying on the network. > Democratized Advanced AI Access, offering ChatGPT-4o level models for $0.54/month (vs. $20/month), effectively killing the subscription gatekeeper model. > Established OpenxAI Labs Inc. with a strategic HQ in New York to drive R&D and global institutional partnerships. > Supported 500+ entrepreneurs and builders actively deploying on OpenxAI. > Secured Tier-1 Listings for $OPENX on 5+ major exchanges including MEXC and Uniswap, driving massive liquidity. > Developed the technology to aggregate unused compute from a vast network of datacenters, unlocking a global capacity of 350+ G/F GPUs, 28 PB memory, and 950 PB bandwidth across 500 cities. > Slashed AI Compute Costs by 90% via the Global Compute Price Engine, offering Llama 3 at $0.12/hr, crushing AWS and Google Cloud pricing. > As part of the NVIDIA Inception Program, gaining access to advanced GPU resources for permissionless AI innovation. > Reached 99.9% global network uptime and a 10/10 infrastructure sovereignty score, ensuring borderless AI access unaffected by regional restrictions. > Scored a perfect 5.0/5 in Censorship Resistance, guaranteeing an AI network that cannot be banned or shut down. > Reduced Time-to-Market from weeks to minutes, empowering solo developers in Nairobi or São Paulo to launch global AI companies instantly without legal entities or credit card processors. > Reduced carbon footprint by 35%, pioneering sustainable AI by utilizing idle consumer GPU resources rather than building new energy-hungry data centers. > Whitelisted 18,000+ Builders for the Mini App Factory in mere days, signaling unprecedented developer demand. > Shipped 1,100+ Base Mini Apps in less than 10 days, deploying more apps in a shorter period than any other project on the Base network. > Recognized at Token2049 by co-hosting SuperIntelligence 2049, the premier AI side-event featuring partners like @Fetch_ai, @AethirCloud, and @SingularityNET > Developed the "Permissionless Access Index" (PAI), scoring 4.8/5—setting a new industry standard far above closed systems like OpenAI (1.2). > Hosted the Hack Node Global hackathon with a $17,500 prize pool, attracting participants from India, Australia, and beyond. > Educated the Future Workforce by onboarding 800+ students and partnering with 20+ academic institutions (including Davao DeFi & DEVCON PH) for real-world Web3 AI training.
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OpenX Network retweeted
Your Mini Apps are live as NFTs! The future of onchain creation is here. Your apps are now digital assets you fully own. Explore the full collection and start building your own: opensea.io/collection/miniap…
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RT @AshtonHetti: We ran the numbers. ChatGPT Plus should cost 0.54 dollars per month, not 20. > ChatGPT Plus SaaS: $20 x 12 equals $240 >…
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OpenX Network retweeted
Centralized AI locks out builders. @OpenxAINetwork unlocks it. Decentralized, open, and owned by the people who create. 🧵 Below
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30 DAYS OF @OpenxAINetwork What an incredible first 30 days of achievements - Hit $100M FDV in the first minute of launch - Doubled to $200M FDV in 5 days - 524+ AI projects deployed - Global community grew by 37% - 3,000+ active developers in 30 days - Established OpenxAI Labs Inc with a physical office in New York, USA - Achieved an AI Privacy Integrity Score (APIS) of 4.8 - Immutable $OPENX contract with no keys and no overrides - Token dashboard launched with full on-chain transparency - Community Knowledge Base launched - Developer Dashboard and Hack Node portal launched - CEX listings secured on MEXC, LBank, XT, and Outbit And this is just month one. None of this would have been possible without our team, partners, and community. Thank you for building the future of permissionless AI with us. This is only the beginning.
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