Category Archives: AI

1-By Laksh, AI

Generating an email draft using ChatGPTplus

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Here are some sample steps to generate an email draft around a video’s key takeaways.

  1. Review Video Content
    • Used the VoxScript plugin to retrieve and summarize content from a YouTube video about Bing Chat AI.
  2. Identify Key Takeaways
    • Extracted key takeaways from the summarized content to highlight Bing Chat AI’s features and capabilities.
  3. Define Email Purpose and Audience
    • Established that the email should generate interest in Bing Chat AI and identified the potential audience.
  4. Draft Email Structure
    • Created sections such as Introduction, Body, Call to Action, and Closing for the email.
  5. Incorporate Information
    • Integrated the key takeaways into the email, ensuring to highlight Bing Chat AI’s capabilities and use cases.
  6. Ensure Engagement
    • Utilized engaging language, emojis, and placeholders for personalization to enhance the email’s appeal.
  7. Revise and Shorten Content
    • Reviewed and, upon request, shortened the email content while preserving the main points and message.
  8. Present and Adjust the Draft
    • Shared the email draft and made adjustments based on feedback and additional requirements.

Generated using Bing AI
AI, ET, Movies

Revisiting ‘The Fugitive’

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Prompt: A wrongly accused inmate, running lightning fast in the woods,
with full moon light reflecting in river water (Bing)

WHEN GENE SISKEL and Roger Ebert sat down at the end of 1993 to pick their 10 favorite movies of the year, they largely selected prestige, Oscar-bait films like The Piano, The Age of Innocence, The Joy Luck Club, and Schindler’s List. They skipped nearly all of the big multiplex hits of the year, including Jurassic Park, Sleepless in Seattle, and Mrs. Doubtfire, making an exception only for The Fugitive. It’s an honor they didn’t give to Die Hard in 1988, The Terminator in 1984, Aliens in 1986, or many other great action movies of the VHS era.

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AI

Here Come the Underdogs of the Robot Olympics

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Prompt for Bing Image generator provided by Bard:Generate an image of a robot competing in the DARPA Robotics Challenge. The robot should be a solo competitor, and it should be struggling to complete a task. The environment should be a disaster-stricken area, such as a collapsed building or a burning forest. The image should be realistic and inspiring, and it should capture the spirit of the underdog.

The article “Here Come the Underdogs of the Robot Olympics” by WIRED magazine profiles Kevin Knoedler, an underdog competitor in the DARPA Robotics Challenge (DRC). Knoedler is a solo competitor who has entered both the DRC and the DARPA Subterranean Challenge (SubT). In the DRC, he finished dead last in the real-world portion of the competition, but he won the “Most Robots per Person” superlative award. In SubT, he crashed all of his aerial drones but dominated the virtual competition, finishing first with more than twice as many points as the nearest competitor. Knoedler is an inspiration to other underdogs who are trying to make their mark in the world of robotics.

The article also discusses the DRC and SubT competitions, which are designed to push the boundaries of robotic technology. The DRC is a series of challenges that test robots’ ability to perform tasks in disaster-stricken environments. SubT is a series of challenges that test robots’ ability to navigate underground environments. Both competitions are highly competitive, and they have helped to advance the state of robotic technology.

(Generated using Bard, Google)