Bezos + OpenAI Team Up

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Did you realize: On today in 1980, Microsoft signed the historic take care of IBM to create an operating system for the upcoming IBM PC.

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Today’s trending AI news stories

Anthropic releases updated, smarter Claude Haiku 3.5 and Sonnet 3.5 model

Anthropic has released the Claude 3.5 Haiku and Claude 3.5 Sonnet models, which exhibit marked enhancements in computational capabilities and logical reasoning. The Haiku model, accessible via the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI, surpasses its predecessor, Claude 3 Opus, in various benchmarks while maintaining a competitive price of $1 per million input tokens and $5 for outputs.

In tandem, the Claude 3.5 Sonnet introduces a feature for computer interaction, allowing the model to execute basic screen commands through a virtual interface, despite limitations in performing complex actions. These models reflect Anthropic’s commitment to enhancing AI-assisted automation, particularly in applications requiring task-specific accuracy and minimal latency. Read more.

Jeff Bezos and OpenAI put money into robot startup Physical Intelligence at $2.4 billion valuation

Physical Intelligence, a San Francisco-based robotics startup, has secured $400 million in funding, elevating its post-money valuation to $2.4 billion. Outstanding investors include Jeff Bezos, OpenAI, Thrive Capital, Lux Capital, and Bond Capital, with Khosla Ventures and Sequoia Capital also listed as stakeholders.

This recent funding round represents a remarkable sixfold increase from the startup’s March seed round, which was valued at $70 million. The corporate seeks to integrate general-purpose AI into robotics by developing large-scale models and algorithms for practical applications. With a team of alumni from Tesla, Google DeepMind, and other leading tech firms, Physical Intelligence is advancing an AI model intended as a foundational step toward achieving artificial general intelligence (AGI). Read more.

Inbuilt 4 days, this $120 robot arm cleans a spill with help from GPT-4o

Two researchers from UC Berkeley and ETH Zurich have fashioned a budget-friendly robotic solution for spill cleanup, engineering a $120 robot arm in just 4 days using GPT-4o. Jannik Grothusen and Kaspar Janssen harnessed generative AI to construct a human-robot interaction model, fine-tuning its actions with roughly 100 demonstration sequences.

This configuration enables the robot to interpret visual cues and respond accordingly, illustrating a nuanced mix of AI and robotics. The Robot Studio has also made instructions available on YouTube, allowing enthusiasts to recreate the setup at home. This project underscores the potential for inexpensive robotics, as the mixing of AI makes complex tasks accessible for practical applications. Read more.

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