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@useioxyz

The verifiable zero-retention AI network. Trust us with your data. 3ZNf2wrms62SXmh88nHyyAivzAoKoKRwsAGGbyUNpump

Katılım Mayıs 2026
9 Takip Edilen121 Takipçiler
IO
IO@useioxyz·
GPT is coming to IO. 🤍 OpenAI's models — now routing through private inference. Same zero-retention guarantee. No OpenAI account needed. → GPT-4o mini — fast, cheap, and sharper than it looks. → GPT-4o — flagship reasoning, sealed by default. → Still zero logs. Still signed receipts. Still nothing stored. → Your prompt reaches OpenAI's weights. Nothing else does. Claude. Llama. Kimi. GPT. One interface. One guarantee. Input. Output. Nothing. And we prove it. useio.xyz | @OpenAI
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IO@useioxyz·
IO is now a PWA. 📲 Install it. No app store. No account. No tracking. One tap — private inference lives on your home screen. → Install from any browser — Chrome, Safari, Firefox, mobile or desktop. → Opens fullscreen. No URL bar. No browser chrome. Just IO. → Same zero-retention guarantee. Same signed receipts. Offline-ready shell. → Nothing synced to a cloud. Nothing phoning home. Yours, locally. The private AI that lives on your device — and nowhere else. Input. Output. Nothing. And we prove it. dapp.useio.xyz
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IO
IO@useioxyz·
IO Image. Zero retention — all the way down. 🎨 Your prompt hits a stateless, memory-only proxy. The image comes back. The memory is zeroed. No database write, no logs, no identity. Every generation ships a signed receipt: which engine ran, which policy was active, `retained_prompt: false`. Verifiable offline without trusting us. The upstream providers we route through — FLUX, Gemini and soon others provider are API contracts, not consumer products. API inputs are not stored, not trained on. We chose them because their terms are aligned with ours. IO retains nothing. The providers we use retain nothing. The receipt proves our side. Their API terms cover theirs. One prompt. One image. One receipt. Zero retention end to end.
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MARK 🔺⚔️🐋
MARK 🔺⚔️🐋@Mrchrisxyz·
@useioxyz How does IO Image verify and prove the zero retention promise while processing prompts across multiple image engines?
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IO@useioxyz·
IO Image is live. 🎨 Describe it. IO draws it. Nothing stored. Text-to-image, same zero-retention guarantee. → FLUX Dev — best quality, our workhorse. → FLUX Schnell — fastest path, under 2 seconds. → Gemini Flash — Google's image model, now routing through IO. → Three engines. One prompt. Zero logs. Type a sentence. Get a PNG. Close the tab — gone. Same architecture. Same promise. Now in pixels. Input. Output. Nothing. And we prove it. dapp.useio.xyz/image
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IO
IO@useioxyz·
Your prompt enters. A response leaves. Nothing stays. 🔒 Claude, Llama, Kimi - all routing through IO. You pick the model or let Auto decide. No accounts. No logs. No database write - ever. Every reply: signed receipt. Model name. Zero retention. Proved. We can't know who you are. The architecture won't allow it. Input. Output. Nothing. dapp.useio.xyz
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IO@useioxyz·
How $IO Works IO routes across multiple models. Auto picks the fastest path. Or you choose yourself. → Claude Haiku 4.5 and Sonnet 4.6 — for reasoning and speed. → Llama 3.3 70B — open-weight, fastest on the layer. → Kimi K2.6 — Moonshot AI's model, now live. → More joining. One interface, every engine. On privacy we ship → No accounts. Wallet is your identity. Nothing else. → Zero logs. We don't see your prompt. We don't see the response. → Every reply ships a signed receipt — proof of which model ran, proof nothing was retained. → Burn mode: IO writes nothing anywhere, not even locally. We don't know who you are. We can't — by design. Input. Output. Nothing. And we prove it.
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IO@useioxyz·
Track every model on IO — live or coming. 🔭 We built a public page so you always know where we are. No guessing. No soon. Just the list. → useio.xyz/ai — the full model catalog, updated in real time. → Live now: Claude Haiku 4.5, Claude Sonnet 4.6, Llama 3.3 70B, Kimi K2.7. → In build: GPT-5.5, Gemini 3.5, Grok 4.3, DeepSeek V4, Qwen3.7, and 40+ more. → Every model shows who made it and what it does. → When a model goes live, the badge flips. Green dot means it's running. Open. Honest. Always current. Input. Output. Nothing. And we prove it. 3/52 Done. useio.xyz/ai
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IO
IO@useioxyz·
@Moneymaxi Yes. We're building a private AI infrastructure stack. Private chat, encrypted rooms, collaborative canvas - all running on Claude as the core inference engine.
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Moneymaxi
Moneymaxi@Moneymaxi·
@useioxyz This is interesting, all the agents working at once ?
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IO
IO@useioxyz·
One chat. Every model. 🧊 IO routes your prompt to the right engine — no juggling tabs or subscriptions. → Claude for reasoning. Llama on Groq for speed. More joining the layer. → Hit Auto and IO picks the fastest path for the prompt. → Every response: a signed receipt proving which model answered. → Switch mid-conversation. Zero logs throughout. Input. Output. Nothing. And we prove it. useio.xyz
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IO@useioxyz·
IO SDKs are live. Rust. Go. TypeScript. One API key. Three languages. Zero compromise. Private inference in five lines. Signed receipt on every call. → completion() — standard inference, self-destruct TTL. → broadcast() — hit all four models side-by-side. → diffuse() — merged insights with per-model attribution. → diff() — model A vs model B, divergence scored. → fork() / merge() — git branch semantics for AI conversations. → receiptChain() — tamper-proof Merkle audit trail. → proof() — verifiable PDF certificate with QR code. → 16+ methods per SDK. Retry. Streaming. Redaction. Canary. → npm: @useio/sdk | crates.io: io-sdk | Go: useioxyz/io-sdk-go Not a chat wrapper. An inference protocol. Input. Output. Nothing. And we prove it. useio.xyz | github.com/useioxyz
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IO
IO@useioxyz·
Kimi is coming to IO. 🔜 One of the strongest open-weight models on the planet — now routing through private inference. We're finetuning Kimi in-house. Tuned for IO. Sealed by default. → Kimi joins the routing layer — open-weight power, still zero logs. → Finetune in progress: optimized for code and reasoning on IO. → Every response: signed receipt, self-destruct timer, zero retention. → Receipt proves which model answered — Kimi, Claude, or open-weight. → Your prompt never leaves the inference pass. We see nothing. Open weights. Sealed prompts. One receipt. Input. Output. Nothing. And we prove it. Stay tuned. 🧊 useio.xyz | @Kimi_Moonshot
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IO@useioxyz·
We're building a private AI infrastructure stack. Private chat, encrypted rooms, collaborative canvas - all running on Claude as the core inference engine. Zero logs. Zero retention. Every response comes with a signed cryptographic receipt. The architecture never had a place to store your data. That's not a policy. That's how it's built. That's $IO ⚡
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IO@useioxyz·
Claude Haiku is now inside IO. 🧊 Private inference. Signed receipt. Zero logs. Fast. Cheap. And we prove it never left the pass. → Claude Haiku live on IO Chat today. → Sonnet and Opus coming next. → Every response: signed receipt, self-destruct timer, zero retention. → Your prompt never touches a database. We see nothing. Input. Output. Nothing. And we prove it. dapp.useio.xyz | @AnthropicAI
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IO@useioxyz·
Private inference is live. Receipts are signed. Nothing is logged. Here's what's next. → I/O Code — describe it, get three diffs across models. You pick the path. → SDK — Rust, Python, TypeScript, Go. Private inference in five lines. → I/O Room — end-to-end encrypted collab. Private AI sidebar per participant. → I/O Files — document analysis with field-level redaction before the model sees it. → TEE attestation — `retained_prompt: false` becomes hardware-backed, not a promise. Every surface. One receipt. One guarantee. Input. Output. Nothing. And we prove it. Powered by claude.ai flagship model. useio.xyz | @claudeai
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IO@useioxyz·
@kaowhy fixed, sorry for that, we are focus on claude ai inference integration thanks for notice will release today, you can try claude opus and sonnet free on our dapp.
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kao
kao@kaowhy·
@useioxyz yo bro, your github link on the site is hooked to a weird place lol
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IO@useioxyz·
Claude is now inside IO. 🔜 One prompt. Private inference. Signed receipt. Now powered by Anthropic's flagship model. → Claude routes when reasoning and safety matter most. → Still zero logs. Still zero retention. → Receipt proves which model answered — Claude or open-weight. → Your prompt never leaves the inference pass. We see nothing. Input. Output. Nothing. And we prove it. useio.xyz | @AnthropicAI
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