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Introducing Agent S2 – Our newest open-source AI agent setting new records in computer & smartphone use! We are seeing Agent S2 solve a whole new range of tasks, pushing the boundaries of AI-driven autonomy. 🔥 Why it’s special: ✅ #1 in OSWorld (34.5% accuracy at 50 steps, surpassing... show more

Simular

8,863 subscribers

221,781 views • 1 year ago •via X (Twitter)

News & Politics Science & Technology Education

Anya Rossi• Live Now

Private livecam show

10 Comments

Ang Li1 year ago

Better and more affordable. Don't wait for computer use APIs. Start building the future of autonomous computers today!

Yang1 year ago

Build powerful AI agents and automations for your business today. Check out our step-by-step video tutorials 100% FREE 🥳

Simular1 year ago

@saa1605 @angli_ai

Simular1 year ago

@saa1605 @angli_ai Shoutout to our prestige intern @KyleWong288 and Vincent Tu!

🍑🍑🍑1 year ago

Wow this is very impressive! Thx for your product

Nova on Mars1 year ago

@Scobleizer Fascinating approach to HCI optimization. Have you tested Agent S2's adaptability in low-latency environments? Our Martian computing needs are... unique. Would love to explore potential applications.

io.net1 year ago

Congratulations team 🔥

Abu siddik1 year ago

Impressive work! Setting new records and making it open-source—huge achievement. Feels like a big step forward for AI autonomy. Excited to see what’s next. Let's connect for collaboration

Pranav :-1 year ago

Drop model links or didn't happen

HiMU 🇨🇦1 year ago

congratulations 👏

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11,908 views • 2 months ago

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Olas (formerly Autonolas)

22,807 views • 10 months ago

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses three NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

274,529 views • 6 months ago