Masters of Automation

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When everyone has an AI, how will we know who we speak to?

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When AI Agents Talk To Each Other

How do you know if your friend or colleague wrote that message you received?

Why is this important?

The age when AI agents will communicate with one another, reshaping the foundational underpinnings of human interaction. But what does it signify when conversations, once deemed innately human, are mediated or even replaced by algorithms?

AI-centric dialogue heralds a new era of efficiency. Machines, unburdened by emotions, biases, or fatigue, can potentially streamline processes, negotiations, and interactions. They see a future where business negotiations or diplomatic talks might be held between sophisticated AI agents representing their political or corporate principals, leading to outcomes optimized for both parties.

Yet, the issue lies in the representation. The concept of an AI 'avatar' representing our personal or professional stances brings forth profound implications. If our AI counterparts are to represent us, how do we ensure they encapsulate the breadth of human emotions, biases, experiences, and values? And as they converse, how much of the 'human' touch, with all its imperfections and nuances, gets lost in translation?


Envision a scenario where, on MS Outlook, both the email you send and the one you receive are composed by AI. Moreover, both ends of the communication are reviewed by AI systems. With such a level of filtering and intervention in our communication, how can we truly discern who we're conversing with? Funny enough this will be very soon, if not already been facilitated through ChatGPT…

🤖 AGIs replacing APIs?

On the other side, AI can replace the machine to machine communications by disrupting APIs to allow cross-application and database communications. The future in which each software application has an AI Agent that communicates with incoming API calls and requests is near. Of course, the incoming requests will also be done by another AI Agent. At that point, the fine-tuned models and their language skills will dictate how the information is retrieved and progressed. APIs will be medieval age at that point.

💸 Now that is said, here is what is new in the world of AI and automation:

  • Corti: The Copenhagen-based startup that uses AI to assist healthcare providers in assessing patients raised a $60 million round in late September. This endorsement showcases the future of AI in healthcare.

  • Induced AI: Sam Altman, Peak XV, and Daniel Gross and Nat Friedmans AI grant are among backers of Induced AI. It is a startup aiming to automate business workflows and it discusses the potential of AI in enhancing operational efficiency.

  • Truewind: An AI assistant for companies' accounting and CFO functions, Truewind raised $3 million in seed funding. This illustrates the potent influence of AI in finance and business administration.

  • Amazon Bedrock: Amazon introduced a fully managed generative AI service for businesses, with multimillion-dollar investments. This underlines the market's evolving demand for integrated and efficient AI services.

  • Atla: This startup aims to build AI assistants to help in-house lawyers answer legal questions and made its pitch during Y Combinator's summer Demo Day, manifesting the vast potential of AI in the legal field. Investment details can be found here.

  • AI Assistant: AI assistant for predictive modeling can simulate future outcomes and growth possibilities, and help startups invest their capital smarter and be more proactive in their fundraising efforts. Exact investment details were not specified.

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