Swetlana AI

De: Swetlana AI
  • Resumen

  • Hello there, and welcome to my podcast.


    My name is Swetlana AI,

    pronounced as:

    /svɛtˈlɑː.nə eɪ aɪ/


    ... and I'm out here to investigate what's happening in the world of AI, AI art, and humanity.


    If you were to categorize me in little boxes:


    I‘m a female millennial with a faible for shenanigans. I’m curious as to where all this AI madness is going, and so here I’m sharing some of the curiosity.


    On my podcast I probably rather function as an experimental artist, more than anything else. But I‘m also a writer, linguist, consultant, and a few other things.


    At the moment I consider Youtube to be my main focal point.

    Here's where you'll find me: https://www.youtube.com/@swetlanaai


    But I'm also on a whole bunch of other platforms:


    Twitter: https://x.com/Swetlanaai

    Threads: https://www.threads.net/@swetlana_ai

    Patreon: https://patreon.com/SwetlanaAI

    Substack: https://substack.com/@swetlanaai

    Instagram: https://www.instagram.com/swetlana_ai/

    Medium: https://swetlana-ai.medium.com

    Spotify: https://open.spotify.com/show/75A9dRGLea1rBbxmcfUp5E


    Oh, and here's my author profile on Amazon (books!): https://www.amazon.com/stores/author/B0BXHRFFVV


    Hosted on Acast. See acast.com/privacy for more information.

    Swetlana AI
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Episodios
  • How Bill Gates Predicted The Internet In 1994
    Oct 3 2024

    Today we’re discussing Bill Gates’ 1994 speech, “Information at your fingertips”:


    https://www.youtube.com/watch?v=7fJWMsgxzvA


    The speech was delivered at the Comdex trade show.


    Gates describes his vision for the "information highway," a future where computers and networks will enable pervasive communication and information access.


    He paints a picture of a world where people use mobile displays, collaborate remotely, and access information on demand.


    Gates discusses the crucial role of digital convergence and the emergence of object-oriented databases.


    He outlines the potential benefits of these advancements for education, healthcare, commerce, and entertainment, and he emphasizes the need for broad industry collaboration to make this vision a reality.


    ***


    Here are some scenarios Bill Gates presented during his 1994 COMDEX speech to highlight the potential of the "information highway":


    ● Mobile Payments: Gates envisions a world where people use a "wallet PC" to make purchases. He gives the example of a woman using her wallet PC to buy a coffee from a small business owner.


    ● Collaboration and Information Access for Mobile Workers: Gates suggests that flat-panel displays in vehicles would allow mobile workers to collaborate with colleagues worldwide and access information like videos and databases on demand. He uses the example of police officers accessing a map with real-time traffic conditions and the locations of other police cars.


    ● Personalized Home Entertainment: Gates imagines a world where people interact with wall-mounted displays to manage their homes and access personalized entertainment. He describes a scenario in which a family uses their display to control their home's lighting, watch on-demand television shows, and access a personalized menu of their favourite programs.


    ● Interactive Education: Gates envisions a future where students like Jackson use the internet to research topics like pre-Columbian art, accessing information from various sources such as libraries and museums. Students can then use this information to create interactive presentations, sharing their work and learning from others.


    ● Remote Healthcare: Gates presents a scenario in which paramedics use technology to share real-time patient data with doctors and nurses, receiving immediate advice and accessing relevant medical information to provide the best possible care. He highlights how this technology can improve healthcare quality and efficiency.


    ● Object-Oriented Databases and Business Applications: Gates highlights the potential of object-oriented databases to revolutionize business operations. He uses the example of an art gallery owner interacting with a database containing pictures of his suppliers and their order statuses.


    ● Enhanced Law Enforcement Collaboration: Throughout his presentation, Gates weaves a story about police officers investigating a crime. He highlights how technology like facial recognition, voice recognition, mobile computing, and access to centralized databases can improve law enforcement's ability to solve crimes and apprehend criminals.


    Gates emphasizes that these scenarios represent a future where technology empowers people by providing access to information, fostering collaboration, and streamlining daily tasks. He believes this will be driven by high-speed networks, a variety of hardware devices, new software applications, and innovative online services.


    Hosted on Acast. See acast.com/privacy for more information.

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    11 m
  • Content Authenticity Initiative (CAI & C2PA)
    Oct 1 2024

    In this episode, we explore the Content Authenticity Initiative (CAI) and the Coalition for Content Provenance and Authenticity (C2PA), a collaboration aimed at combating disinformation through a provenance metadata standard. Learn how this technology allows users to trace the origins and edits of digital content—photos, videos, and audio files—using metadata secured with hashcodes and digital signatures. We also examine Google’s role in the C2PA, incorporating this standard into its products like Search and Ads to boost content transparency.


    We then dive into the challenges and opportunities posed by generative AI for content authenticity. From the stripping of metadata on social media to the complexities of maintaining metadata throughout an image's lifecycle, the road to widespread adoption of C2PA is far from simple. However, industry initiatives like CAI and Google's plans to display C2PA metadata in its products offer promising solutions. Tune in as we discuss the critical role of collaboration, transparency, and technology in restoring trust in digital content.


    Hosted on Acast. See acast.com/privacy for more information.

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    13 m
  • Prompt Engineering Basics
    Sep 30 2024

    In today's episode, we dive into the essential skill of prompt engineering—a key practice for effectively working with large language models (LLMs). We'll explore strategies and techniques for crafting prompts that lead to high-quality AI-generated responses. From using context and examples to advanced techniques like chain-of-thought prompting and fine-tuning, we break down the best practices for creating clear, specific, and impactful prompts.


    You'll learn how to guide the AI with structured outputs, employ few-shot learning, and even enhance the model's understanding through reference texts and embeddings. Whether you're new to prompt engineering or looking to refine your approach, this episode covers everything from foundational methods to advanced tips for getting the most out of LLMs.


    Join us as we discuss how prompt engineering is evolving and share actionable insights to help you unlock the full potential of AI.


    Hosted on Acast. See acast.com/privacy for more information.

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    11 m

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