The Dawn of LLM-Powered personal assistants: pioneering a new platform economy

The article delves into the evolving platform economy where digital platforms, such as ChatGPT powered by Large Language Models (LLMs), serve as intermediaries connecting stakeholders. These platforms, unlike traditional pipelines, leverage digital technology to create value through mass personalized interactions.

Using a hypothetical use-case, the article demonstrates how ChatGPT can be an intuitive personal assistant, bridging users with various service providers.

However, with the rise of such platforms, challenges akin to SEO in search engines are anticipated.

Approaches like Prompt Engineering and Automatic Choice Optimization will become pivotal.

Lastly, a critical challenge for providers is to be chosen by AI systems in a landscape dominated by a few digital giants.

Rethinking Presentations: Beyond Static Slides

In the digital age, traditional PowerPoint presentations often fail to engage audiences due to their static nature.

Research suggests that audience attention dwindles after just 10 minutes without engagement. The proposed method in this article aims to revitalize presentations by

  • Incorporating live doodling with the assistance of tools like the reMarkable tablet for real-time interaction.
  • Using a script to create PDFs from images, blending the familiar structure of slides with spontaneous on-the-spot drawing.

The result is a more authentic, engaging, and impactful presentation experience, though it requires deeper preparation and understanding of the topic. The tools and methods highlighted aim to shift the focus from aesthetics to genuine content engagement.

Evolving the Game: A clientless streaming tool for reMarkable 2

In this article, I expose the new version of the streaming tool for my reMarkable tablet.

Originally crafted in 2021, this tool allowed me to stream sketches during video calls.

Aiming for more user-friendliness, I revamped the design to a clientless implementation. This articles describes the implementation with some code illustrations in Javascript and Go on how to

  • get the picture and to display it in a canvas
  • optimize the flow by playing with uint4 and RLE