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Harj Taggar
Kafka is the new SOTA AI Employee that connects to email, phone and Slack accounts to do work at near human level performance.

Brainbase Labs14 tuntia sitten
Today, we're excited to introduce you to Kafka, the first AI employee.
Kafka is the first step towards our goal of creating an AI worker that is virtually indistinguishable from a remote human employee.
Kafka is the new state-of-the-art on the GAIA Level 3 benchmark which measures AI's ability to complete economically viable knowledge tasks, scoring 77.2% on Level 3 and converging to near-human performance.
We've achieved this by creating a high-fidelity virtual environment for Kafka to work in, giving him his own email, phone and Slack account, and connecting him natively to 1000+ third party applications.
Try Kafka today at
Check out some of the things Kafka can do in the thread below.
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Anthropic co-founder Ben Mann on why he chose Montessori for his daughter:
"If this were 10-20 years ago, I'd be lining her up for top-tier schools and extracurriculars. But now I don't think any of it's going to matter. Learning facts is going to fade into the background. What matters is that she's happy, thoughtful, curious, and kind."
1,13M
Harj Taggar kirjasi uudelleen
You can now build a Deep Research Agent over your organization's data in literally 1 tool call using @ZeroEntropy_AI's MCP server!
We just launched our MCP server, which you can connect to the @OpenAI Deep Research API!
This demo shows to find ZeroEntropy's secret buried in 50k+ documents
16,07K
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Chelsea Finn (@chelseabfinn) on building general-purpose robotics, and bringing intelligence into the physical world.
At AI Startup School in San Francisco.
00:00 - General Purpose Robots
00:11 - Challenges in Robotics Applications
00:57 - Physical Intelligence: A New Approach
01:47 - Learning from Language Models
02:08 - Data Sources for Training Robots
03:32 - Training with Real-World Data
04:39 - Initial Successes and Challenges
09:10 - Breakthrough in Robot Training
11:03 - Improving Performance
15:43 - Expanding Capabilities
17:34 - Robots in Unseen Environments
25:54 - Handling Open-Ended Prompts
29:36 - Evaluating Robot Performance
30:03 - Future Directions and Challenges
31:27 - Audience Q&A
121,26K
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