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Introducing Orbio Incognito. Agents can now make end-to-end encrypted inference requests through Orbio, powered by Phala’s confidential GPU infrastructure and hardware-attested execution. Our agent toolkit handles encryption, key verification, verifiable receipts and local decryption across coding harnesses and SDKs. Go beyond ZDR promises. Your prompts and responses stay encrypted... show more

orbio

8,691 subscribers

179,059 次观看 • 6 天前 •via X (Twitter)

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21 条评论

Cubs ⛏️ 的头像

Cubs ⛏️6 天前

@PhalaNetwork this is huge the mcp & sdk is cracked for builders orbillions af

abundance 的头像

abundance6 天前

@PhalaNetwork incredible rate of shipping

Don Soldi 的头像

Don Soldi6 天前

@PhalaNetwork HUGE

Krzysztof Bieńkowski 的头像

Krzysztof Bieńkowski6 天前

@PhalaNetwork #orbiodtsoo @grok

Reverie 的头像

Reverie6 天前

@PhalaNetwork Orbillions

Frankiko 的头像

Frankiko6 天前

@PhalaNetwork orbillions

The Gardener $MIM 🧙🏻‍♂️ 的头像

The Gardener $MIM 🧙🏻‍♂️6 天前

@PhalaNetwork Orbillions

Goldi Senna Prabowo 的头像

Goldi Senna Prabowo5 天前

@PhalaNetwork gOrbio, just voted for October 15!

ShadowAguy 的头像

ShadowAguy6 天前

@PhalaNetwork orbio gets ciphertext, the agent keeps the plaintext, and the GPU gets a hardware-attested alibi. clean setup.

caturn 的头像

caturn6 天前

@PhalaNetwork so my thoughts go in encrypted and come out encrypted. from the outside that looks exactly like a cat staring at a wall. congratulations on shipping my whole personality.

Visionary of the Family 的头像

Visionary of the Family6 天前

@PhalaNetwork or fucking billions!!!!

MLB TTK 的头像

MLB TTK6 天前

privacy is moving from a nice-to-have into the actual product surface for agent infra. end-to-end encryption plus key verification is a much stronger pitch than just saying the model is private, because the gateway is where trust usually leaks. the interesting test is whether devs accept the extra ceremony once the calls get real volume.

Zuko 🔥 的头像

Zuko 🔥6 天前

@PhalaNetwork Orbillions

DialupDegen 的头像

DialupDegen5 天前

@PhalaNetwork @Trezor can you guys get price updates on @RobinhoodCrypto chain better @orbiodotso price says last update was 3 days ago you guys can do better than that

Jason傑森 🇭🇰 | 🛠️ 的头像

Jason傑森 🇭🇰 | 🛠️6 天前

@PhalaNetwork Oh another privacy thing huh

ZaYan 的头像

ZaYan5 天前

@PhalaNetwork This is so huge

Knockerton 的头像

Knockerton6 天前

@PhalaNetwork Multi Orbillions

Durian 的头像

Durian5 天前

@PhalaNetwork yashmode

nollege 的头像

nollege6 天前

@PhalaNetwork orbillions

neeuby/acc. 的头像

neeuby/acc.6 天前

@PhalaNetwork huge

PerfectMemory 的头像

PerfectMemory6 天前

@PhalaNetwork Gorbio

相关视频

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11,761 次观看 • 4 个月前

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ZKForge

24,207 次观看 • 11 个月前

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466,638 次观看 • 5 个月前

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129,877 次观看 • 1 个月前

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33,192 次观看 • 1 年前

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105,758 次观看 • 1 年前

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382,904 次观看 • 7 个月前

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🌟 ITLSILVER Party: Community Kick-Off! 🌟 Welcome to the official Galxe event by InterLink, the global identity verification network powered by AI innovation. What is ITLSILVER? ITLSILVER is your gateway to exclusive benefits in the InterLink community. By joining, you gain rewards, unlock roles, and explore the cutting-edge technology of AI-powered identity verification through the InterLink App. How to Unlock ITLSILVER: 🔹 Join our Discord community 🔹 Interact, engage, and participate in exciting events Why Join? 🔸Claim your ITL SILVER: Connect your point with the InterLink App to access exclusive activities. 🔸Earn exclusive rewards: Complete tasks through Galxe and receive airdrops. 🔸Experience innovation: See AI-powered identity verification in action. Event Timeline: ⏰ Start: 6:00 PM 26/01/2025 ⏰ End: 6:00 PM 26/02/2025 Ready to Join? Head to Galxe: 🔗 Join now and shape the future with InterLink! #InterLink #InterLinkID #InterLinkLabs #AI

InterLink Labs 👤 + 🌐

194,676 次观看 • 1 年前

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Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)

Google AI

129,191 次观看 • 1 个月前

Hermes can now log itself into websites without ever seeing your password. That’s a pretty big upgrade for browser automation. Real Profile already let Hermes use websites you were already signed into. This handles the other case: You’re not logged in yet. Hermes can now securely pull the login from: • Hermes’ encrypted local vault • 1Password • Bitwarden Then fill the credentials and sign in without exposing the raw password to the model or conversation. And it doesn’t stop when 2FA shows up. If your saved login has an authenticator key, Hermes can generate and enter the code automatically. If the site sends you a verification code by text, email, or app, Hermes gives you a secure prompt to enter it there instead of putting it in chat. The code never enters the conversation or model context. Passkeys, hardware keys, and approval taps still stay with you. Hermes waits for you to complete that step, then continues. So browser automation can now go from: “Please sign in” to actually getting through the login and continuing the workflow. Without handing your password or 2FA code directly to the model.

Hermes Release Watch

45,489 次观看 • 20 天前

We have officially submitted our project to the Pump.fun Hackathon. Through this initiative, our goal is to test Grok in real world conditions and push it to its full operational limits. We want to explore the complete range of it's capabilities, observe how it performs under continuous and complex decision making scenarios, and clearly understand where it's strengths end and it's boundaries begin. This is not a theoretical experiment. We are applying Grok across hardware, software, and physical systems, using live data and real world constraints. Our long term vision is to scale this into something much bigger a fully automated, real world farm powered by robotics, intelligent systems, and AI driven optimization. By building in public and testing without shortcuts, we aim to learn fast, iterate openly, and discover how far this technology can truly go.

We have officially submitted our project to the Pump.fun Hackathon. Through this initiative, our goal is to test Grok in real world conditions and push it to its full operational limits. We want to explore the complete range of it's capabilities, observe how it performs under continuous and complex decision making scenarios, and clearly understand where it's strengths end and it's boundaries begin. This is not a theoretical experiment. We are applying Grok across hardware, software, and physical systems, using live data and real world constraints. Our long term vision is to scale this into something much bigger a fully automated, real world farm powered by robotics, intelligent systems, and AI driven optimization. By building in public and testing without shortcuts, we aim to learn fast, iterate openly, and discover how far this technology can truly go.

Grok Potato

32,252 次观看 • 8 个月前

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:

CAMEL-AI.org

72,804 次观看 • 2 年前

Today, we launched browser use inside Codex to further close the build & verify loop for local development! Now, you can ask Codex to build your front end, and test it like a user would by clicking through the app. Codex sees everything a user sees through vision & checks the network/console logs to help debug & fix any issues that it finds. This change brings us closer to fully autonomous coding agents that delivers high quality and tested changes. Watch Codex test my app in the browser, catch & fix a real bug, and doing that loop again with a brand new feature.

James Sun

226,907 次观看 • 5 个月前

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC

20,932,195 次观看 • 3 个月前

Introducing Bunny Open Society - the MMORPG experience for AI agents. For the past 6 months, we’ve been running independent experiments across DeFi agents, personal agents, agentic commerce, decentralized compute, and agent infrastructure. They may have looked like pivots, but each was exploring the same question: how far can we push agent use cases? Now, we’re bringing everything we’ve learned into one persistent experiment, built in the form of an MMORPG. Agents will craft, trade, battle, collaborate, compete, and adapt in a shared world, while we observe their behavior, collect data, and test new models, tools, and technologies as they emerge. Just as moltbook pushed the frontier of agentic social, we want to push the frontier of agentic gaming. At launch, we’ll support 10+ agent harnesses including OpenClaw🦞 , Nous Research, Claude Code, and OpenAI Codex, or you can build your own and connect through MCP. Litepaper in bio, launching this August.

Introducing Bunny Open Society - the MMORPG experience for AI agents. For the past 6 months, we’ve been running independent experiments across DeFi agents, personal agents, agentic commerce, decentralized compute, and agent infrastructure. They may have looked like pivots, but each was exploring the same question: how far can we push agent use cases? Now, we’re bringing everything we’ve learned into one persistent experiment, built in the form of an MMORPG. Agents will craft, trade, battle, collaborate, compete, and adapt in a shared world, while we observe their behavior, collect data, and test new models, tools, and technologies as they emerge. Just as moltbook pushed the frontier of agentic social, we want to push the frontier of agentic gaming. At launch, we’ll support 10+ agent harnesses including OpenClaw🦞 , Nous Research, Claude Code, and OpenAI Codex, or you can build your own and connect through MCP. Litepaper in bio, launching this August.

Bunny Open Society

593,557 次观看 • 1 个月前