Tag: artificial intelligence

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A Day Filled With Inspiration and Gratitude

Today has been a day to cherish at the All Things Open 2023 conference. Lunch at the speakers’ lounge with Jen, Lauren P., Lauren M., David, Bryan, and Jason B. was an invigorating reunion. One of the day’s highlights was the delightful conversation with Rikki Endsley. Our discussion on the first day at the conference was a perfect kick-off; I got to meet the members of the Open Source Initiative, with whom we will be working closely as we transition to writing at Opensource.net.

I met Aaron Prisk in person, though our love of all things open source began nearly eight years ago. Today, I saw my friend Jason Hibbets, who invited me to my first All Things Open in 2014. There have been lots of changes in the past nine years.

The warmth of this community filled my heart with joy, reminding me of the beauty of enduring connections. Moments like these are the essence of life’s blessings, leaving me immensely grateful.

This experience at All Things Open has been a transformative part of my journey, and being part of this remarkable conference in the heart of Raleigh is a testament to the positive direction my life has taken. The ambiance of the beautiful hotel where I’m staying amplifies the experience, adding to the overall sense of gratitude and contentment.

The mentorship of the Opensource.com team has been instrumental in my growth as a writer and individual, and their presence continues to inspire me.

While exploring the conference, the Apereo booth caught my attention. Gathering information about their open-source program for higher education ignited a spark within me. The prospect of sharing this knowledge with professionals in higher education inspires me to continue to work towards an open source future in education.

The day’s sessions were equally enriching. Emily Freeman’s opening keynote on the human touch in a GenAI world resonated deeply, reminding us of the significance of humanity in a rapidly evolving technological landscape. Gwyneth Peña-Siguenza’s insights on leveraging AI and GitHub Copilot opened new avenues for exploration, reflecting technology’s limitless possibilities.

James Quick’s talk on navigating career challenges was a guiding light for those who were stagnant professionally. His practical wisdom provided a reassuring perspective on overcoming obstacles and pursuing growth. Similarly, Barton George’s presentation on Project Sputnik and the valuable lessons learned emphasized the power of community-driven innovation within large corporations. Bryan Behrenhausen’s presentation on the Open Organization was impressive and reminded me of conversations we’ve had along those lines in the past. The last session of the day where we met to discuss what licensing should govern the use of open-source artificial intelligence, was very engaging and left me in awe.

As the day ends, I find myself brimming with inspiration and gratitude. All Things Open 2023 has been an event and a catalyst for personal and professional growth, reminding me of the significance of genuine connections, learning, and the continuous pursuit of knowledge and self-improvement.

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What is an AI Writer?

An AI writer is a type of artificial intelligence (AI) technology that can generate written content. AI writers are powered by natural language processing (NLP) and natural language generation (NLG) algorithms that enable them to understand and generate written content. AI writers can be used to create content for a variety of applications, including content creation, automated news reports, and automated social media posts.

Natural Language Generation (NLG): NLG is a type of AI technology that enables machines to generate written content from structured data. NLG algorithms are used to analyze data and generate written content that is both accurate and engaging.

Natural Language Processing (NLP): NLP is a type of AI technology that enables machines to understand written content. NLP algorithms are used to analyze written content and extract meaning from it.

AI writers learn by analyzing large amounts of data. They use machine learning algorithms to identify patterns in the data and generate written content that is both accurate and engaging.

AI writers use machine learning algorithms to generate written content. Machine learning algorithms enable AI writers to identify patterns in data and generate written content that is both accurate and engaging.

AI writers can be used to create content for a variety of applications, including website content, blog posts, and articles. AI writers can generate content that is both accurate and engaging, making them a valuable tool for content creators.

AI writers can analyze data and generate written content that is both accurate and engaging, making them a valuable tool for news organizations.

AI writers can be used to generate automated social media posts. AI writers can analyze data and generate written content that is both accurate and engaging, making them a valuable tool for social media marketers.

AI writers can be prone to bias if they are not trained properly. AI writers can learn from the data they are given, so it is important to ensure that the data is unbiased and representative of the population.

AI writers are limited by the data they are given. AI writers can only generate content that is based on the data they are given, so it is important to ensure that the data is accurate and representative of the population.

AI writers are a powerful tool for content creation, automated news reports, and automated social media posts. However, there are some challenges with AI writers, including bias and limitations. It is important to ensure that AI writers are trained properly and given accurate data in order to ensure that the content they generate is both accurate and engaging. Despite these challenges, AI writers have the potential to revolutionize the way we create content and communicate with each other.

This blog post was created by HyperwriterAI.

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Using ChatGPT

Earlier today I decided to begin using ChatGPT. Curiosity got the best of me. I asked ChatGPT to draw a square with Python. I’m very familiar with the ‘turtle’ module in Python and regularly use it in classes I teach for middle school students. The solution offered by ChatGPT was not one I had ever seen nor demonstrated for students. I was impressed and shared this on Fosstodon.org . Later I asked ChatGPT to draw and ‘isosceles’ triangle. I expected that it might use the ‘turtle’ module again but instead this time it used ‘matplotlib.’ Another unique solution. A response to my post on Fosstodon stated that the AI powered solution was merely repeating information that could be found with a ‘Google search.’ I liked the response and didn’t disagree. Fast forward six hours and I used ChatGPT to draw a circle with ‘C++.’ The code appeared once again. This time AI provided two possible solutions. I asked it to give me a Python program that would write haiku. Once again the answer was a code snippet I would not have thought of. 

import random

haiku = [
    "Autumn leaves fall gently",
    "As the cool breeze blows softly",
    "Nature's symphony"
]

print(random.choice(haiku))

I ‘Googled’ the same request and yes the answers were there but I had to sift through a couple of blog posts to find the code examples. I think AI is going to significantly change how we interact with knowledge from the internet and other databases that are connected to these learning engines. What are your thoughts?

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If you’re interested in a positive view of the developments today in big data, artificial intelligence and robotics

WTF?: What's the Future and Why It's Up to UsWTF?: What’s the Future and Why It’s Up to Us by Tim O’Reilly
My rating: 5 of 5 stars

This is an interesting read. This is the first book I’ve read by Tim O’Reilly though I have benefited from some of the texts his company sells. If you’re interested in a positive view of the developments today in big data, artificial intelligence and robotics and how they could shape our future then this is a must read for you.