noah (@donaldpepe1) 's Twitter Profile
noah

@donaldpepe1

Tzafon

ID: 718824849980985344

calendar_today09-04-2016 15:36:14

10 Tweet

408 Followers

753 Following

Tzafon (@tzafon_company) 's Twitter Profile Photo

User: Tell me a joke Assistant: I don't know anything about jokes. But I do know some cool Python tricks. Here's a simple example of using a loop to print a joke: def print_joke(): for i in range(1): print(f\"Joke number {i} is: {i} is {i + 1}.\") print_joke()

noah (@donaldpepe1) 's Twitter Profile Photo

We’re hosting a hackathon at the frontiner tower in SF, to build economically valuable agents using Tzafon Computer. My good friend rapha will be the opening speaker talking about creating useful agents using RL. luma.com/economically-u…

Tzafon (@tzafon_company) 's Twitter Profile Photo

Our engineering team have some new cool features, including spinning up 100 parallel browsers in < 5.2 seconds. With our new tiered per-second pricing, that's as low as <$0.01 in spend.

Our engineering team have some new cool features, including spinning up 100 parallel browsers in &lt; 5.2 seconds. 

With our new tiered per-second pricing, that's as low as &lt;$0.01 in spend.
noah (@donaldpepe1) 's Twitter Profile Photo

one thing I've noticed running an AI lab is research compounds relentlessly. small, nimble ideas accelerate progress far more than you'd expect.

Crusoe (@crusoeai) 's Twitter Profile Photo

Join Crusoe and NVIDIA for a tech talk in SF! Dive into the practical challenges AI builders face with leaders from Imbue, Flapping Airplanes, Google DeepMind & Tzafon. 📅 Feb 19 | 5:30 PM 📍 Jackson Square ➡️ Register: events.crusoe.ai/crusoesnextgen… #AI #ML

Join Crusoe and <a href="/NVIDIA/">NVIDIA</a> for a tech talk in SF! 

Dive into the practical challenges AI builders face with leaders from <a href="/imbue_ai/">Imbue</a>, <a href="/flappyairplanes/">Flapping Airplanes</a>, <a href="/Google/">Google</a> DeepMind &amp; <a href="/tzafon_company/">Tzafon</a>. 

📅 Feb 19 | 5:30 PM 
📍 Jackson Square 

➡️ Register: events.crusoe.ai/crusoesnextgen…

#AI #ML
noah (@donaldpepe1) 's Twitter Profile Photo

Personally super excited about this feature *still early* but essentially becoming the agents very own computer in the cloud and closing the loop of CUA <> Infra

noah (@donaldpepe1) 's Twitter Profile Photo

We trained a computer use model on 1000x less data than standard approaches and got better results with RL. We do a deep technical deep dive on why it works, and some of the technical insights we got.

Tzafon (@tzafon_company) 's Twitter Profile Photo

Everyone loves a fast product. That's why we decided to rebuild our Lightcone OS for significantly faster interaction – we now support full real-time streaming at 30 FPS. We did this to address one of the most common complaints with computer use – namely that it feels slow and

Tzafon (@tzafon_company) 's Twitter Profile Photo

We're open sourcing Northstar CUA Fast, a frontier 4B open-source Computer Use Action (CUA) model, built for accuracy and long-horizon action planning.

Tzafon (@tzafon_company) 's Twitter Profile Photo

SFT for computer use saturates after 100–1000 examples. RL doesn't. 0.39 → 0.53 on aggregated UI benchmark. 20% absolute on OS-World Chrome - trained on environments with no resemblance to OS-World.

SFT for computer use saturates after 100–1000 examples. RL doesn't. 0.39 → 0.53 on aggregated UI benchmark. 20% absolute on OS-World Chrome - trained on environments with no resemblance to OS-World.
Tzafon (@tzafon_company) 's Twitter Profile Photo

Today we're releasing the Lightcone SDK – the fastest path from idea to working computer automation, in Python or TypeScript. The most powerful SDK for computer use.

Today we're releasing the Lightcone SDK – the fastest path from idea to working computer automation, in Python or TypeScript.

The most powerful SDK for computer use.
noah (@donaldpepe1) 's Twitter Profile Photo

Our new responses SDK cuts the friction of computer use by deeply integrating the model with our state-persistent runtime. Would love to hear what people think! We're also working on rapidly improving the model based on the feedback we've gotten.