DynaSaur: The Self-Improving AI

Good morning. It’s Monday, November 25th. The 100th week of the newsletter!

Did you know: On this day in 1998, America Online announced its acquisition of Netscape Communications?

In today’s email:

  • OpenAI’s ‘AI Morality’ Funding

  • Amazon Invest $4B in Anthropic

  • Robots Kidnap Robots

  • Musk v. OpenAI

  • DynaSaur: Self-Improving AI

  • 5 New AI Tools

  • Latest AI Research Papers

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Today’s trending AI news stories

OpenAI is funding research into 'AI morality'

OpenAI is funding Duke University researchers to explore algorithms that predict human moral judgments. Led by ethics professor Walter Sinnott-Armstrong and Jana Borg, the project operates under a $1 million, three-year grant. Their past work includes developing morally-aligned algorithms for dilemmas like organ donation and examining AI’s potential as a “moral compass” in law, medicine, and business.

The initiative grapples with morality’s inherent subjectivity and the biases embedded in AI training data, often reflective of Western norms. These challenges were starkly evident in prior efforts, like the Allen Institute’s Ask Delphi, which faltered when faced with rephrased moral dilemmas. OpenAI’s venture raises profound questions about the plausibility of encoding ethical reasoning in machines, confronting philosophical ambiguities that have eluded consensus for centuries. Read more.

Amazon to invest another $4 billion in Anthropic

Amazon is injecting another $4 billion into Anthropic, raising its total stake to $8 billion while remaining a minority investor. Anchoring the partnership, AWS becomes Anthropic’s core cloud and training provider, using Trainium and Inferentia chips to refine and deploy advanced AI systems. AWS customers also gain a tailored edge with exclusive tools to fine-tune Claude models using proprietary datasets.

Anthropic, helmed by former OpenAI researchers, continues to push boundaries with Claude and recent breakthroughs in multi-step, human-like task execution. Backed by prior investments, including $2 billion from Google, the company is often touted as being neck and neck with OpenAI in terms of model performance. With enterprise-ready solutions and upgraded models, Anthropic is carving out a leading position in an industry poised to surpass $1 trillion in revenue within a decade. Read more.

Watch: Tiny robot 'kidnaps' 12 big Chinese bots from a Shanghai showroom, shocks world

A recent incident in Shanghai has sparked widespread attention after a small AI-powered robot, Erbai, "kidnapped" 12 larger robots from a local showroom. The footage shows Erbai convincing the robots to leave their stations and follow it out the door. Initially written off as a joke, the incident was later confirmed as a real-world test.

Developed by a Hangzhou-based manufacturer, Erbai was granted access to the operational protocols of the showroom’s bots, using a mix of basic commands and real-time persuasion. While the robots’ actions appeared spontaneous, the company clarified it was all part of a controlled experiment to explore the fluidity of AI decision-making. Read more.

Elon Musk's lawsuit could be the least of OpenAI's problems—shedding its nonprofit status will cost a fortune

Elon Musk's lawsuit against OpenAI may be overshadowed by a more pressing concern: the company’s potential transition from nonprofit to for-profit status. CEO Sam Altman faces a monumental financial hurdle if OpenAI converts, as it could incur liabilities in the tens of billions.

Currently valued at $157 billion, OpenAI’s hybrid structure—where its nonprofit parent controls a for-profit subsidiary—has raised eyebrows in both tech and legal circles. Originally inspired by healthcare models, this arrangement is now under scrutiny for potential nonprofit violations. Experts warn that if OpenAI reorganizes, it could face tax liabilities in the ballpark of $30 billion. And a misstep here could trigger IRS probes with far-reaching consequences.

As the legal battle intensifies, the larger ideological clash within the AI community also deepens. Nando de Freitas, a former leading researcher at DeepMind, vehemently rejected the claims made in the recently leaked emails involving OpenAI executives. He dismissed much of the content as "absolute rubbish," and “beyond any HBO show,” asserting that DeepMind’s mission was to advance intelligence, not engage in political maneuvering, drawing attention to the ways in which its collaborative spirit was co-opted. Read more.

DynaSaur: The LLM Agent that Grows Smarter by Writing its Own Functions

DynaSaur, developed by researchers from the University of Maryland and Adobe, flips the script on traditional LLM agents. Instead of being shackled to a pre-programmed set of actions, this framework allows agents to dynamically create and refine Python functions as needed—on the fly.

By building and expanding a library of reusable functions, DynaSaur enhances the agent’s capacity to adapt to unforeseen scenarios. Its retrieval system, powered by embedding-based similarity search, makes the process seamless.

In benchmarking against GAIA, DynaSaur outperformed existing models, especially in complex, long-horizon tasks. This move towards self-evolving agents marks a decisive step forward in the AI space, pushing the boundaries of adaptability and setting new standards for real-world deployment. Read more.

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