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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 views • 6 days ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

21 Comments

Cubs ⛏️5 days ago

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

abundance6 days ago

@PhalaNetwork incredible rate of shipping

Don Soldi6 days ago

@PhalaNetwork HUGE

Krzysztof Bieńkowski6 days ago

@PhalaNetwork #orbiodtsoo @grok

Reverie5 days ago

@PhalaNetwork Orbillions

Frankiko6 days ago

@PhalaNetwork orbillions

The Gardener $MIM 🧙🏻‍♂️5 days ago

@PhalaNetwork Orbillions

Goldi Senna Prabowo5 days ago

@PhalaNetwork gOrbio, just voted for October 15!

ShadowAguy5 days ago

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

caturn5 days ago

@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 Family5 days ago

@PhalaNetwork or fucking billions!!!!

MLB TTK6 days ago

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 🔥5 days ago

@PhalaNetwork Orbillions

DialupDegen5 days ago

@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 🇭🇰 | 🛠️5 days ago

@PhalaNetwork Oh another privacy thing huh

ZaYan5 days ago

@PhalaNetwork This is so huge

Knockerton6 days ago

@PhalaNetwork Multi Orbillions

Durian5 days ago

@PhalaNetwork yashmode

nollege5 days ago

@PhalaNetwork orbillions

neeuby/acc.6 days ago

@PhalaNetwork huge

PerfectMemory6 days ago

@PhalaNetwork Gorbio

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129,191 views • 1 month ago

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45,489 views • 20 days ago

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Grok Potato

32,252 views • 8 months ago

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 views • 2 years ago

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 views • 5 months ago

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 views • 3 months ago

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 views • 1 month ago