#LinkedInLocal, as described by ChatGTP, Bing, and Bard
John Marrett
Helping mid-sized organizations increase sales and improve customer service since 1993 | #LinkedInLocal
On Thursday, April 27, #LinkedInLocalMTL held a panel discussion about ChatGTP and Generative AI. The panelists were Amine Ben Ayed, Maya Marcus-Sells, Mehdi Benboubakeur, & Nesrine Zemirli, Ph.D., and the panel was moderated by Amokrane Mariche.
As I always start our events with a history of #LinkedInLocal and #LinkedInLocalMTL and as I had had differing results using the 3 primary Generative AI tools, I decided to see what they knew about #LinkedInLocal, #LinkedInLocalMTL, and #ArtificialIntelligence. First off, the real story of #LinkedInLocal and #LinkedInLocalMTL!
The first LinkedInLocal event was held June 2, 2017, in Coff’s Harbour, Australia. Anna McAfee posted on #LinkedIn that she was organizing an event for local members of LinkedIn, using the hashtag #LinkedInLocal. About 15 people showed up
Anna subsequently posted about the event on LinkedIn and many people contacted her about it. I had been thinking about organizing something similar (I was calling it LinkedInIRL — LinkedIn In Real Life!) so I asked Anna how she went about organizing it.
Anna introduced me to Godwin Chan, who was in Montreal from Toronto studying for his M. Sc.. Godwin wanted to meet entrepreneurs and professionals in Montreal. Godwin and I met several times and ended up organizing the first #LinkedInLocalMTL on November 14, 2017. About 40 people showed up at Hurley’s in downtown Montreal.
We had some volunteers who helped us organize the 2nd Edition on March 27, 2018. We had two presenters, George Tabah and Matthew Laferrière. Alain Guillot was our photographer … so there is photographic evidence of the event! And Alain has continued to to take photos of our events over the years. Thanks Alain!
We had 12 in-person events before the pandemic hit, all with 2 presenters, one in English and one in French. During the pandemic, we pivoted to Zoom with alternating English and French presenters. We started charging $5, which was donated to the preferred charity of the presenters.
After in-person events resumed, we continued to charge $5, which went to the preferred charities of our presenters. As of LinkedInLocalMTL #35, we had donated over $7,000 to the preferred charities of our presenters!
LinkedInLocalMTL also helped form 2 other LinkedInLocal groups in the Montreal area, LinkedInLocal Laval (12 events as of May 2) and LinkedInLocal Rive-Sud (5 events so far).
As to LinkedInLocal globally, thousands of events have been held in hundreds of cities globally! Anna McAfee is one of the few people who can truly say that she started a global movement!
The Questions
In order to make it fair, I decided to ask each of the three services exactly the same questions:
ChatGTP
I had a lot of problems with ChatGTP! Which is strange, because I had played around with it a lot back in February and March, and it worked pretty well at that time!
I now had to use a VPN … and pretend I was in the United States in order to use ChatGPT!
I kept on getting that Too many requests in 1 hour. Try again later message whenever I asked who started LinkedInLocal. But I could ask other questions. Very strange!
I decided that ChatGPT was a total Failure when it came to #LinkedInLocal!
Bing Chat by Microsoft
What is LinkedInLocal?
LinkedInLocal is a LinkedIn Inc. property that provides an opportunity for LinkedIn members to meet up for no other reason than to get to know each other, to inspire, motivate and grow each other collectively. It is a non-commercial, not-for-profit series of networking events spreading its wings around the world where LinkedIners meet up. The LinkedIn Local program is here to strengthen your existing connections while helping you build new ones.
LinkedIn Local events are organic meetups hosted by members all over the world. They provide an opportunity to network, build community, discuss industry trends, and share best practices for using LinkedIn.
Comment: you can tell that Microsoft owns LinkedIn!
Who started LinkedInLocal?
The LinkedIn Local movement started in Coffs Harbour (New South Wales, Australia) when Anna McAfee published a simple post on LinkedIn to get to know the people behind the profiles. She included the hashtag #LinkedInLocal and invited other LinkedIn users to host their own events. The movement has since grown into a global phenomenon with events hosted in over 100 countries.
What is the history of LinkedInLocal?
LinkedIn was founded in 2002 by Reid Hoffman, Allen Blue, Konstantin Guericke, Eric Ly, and Jean-Luc Vaillant. The website was launched on May 5th of 2003 in Mountain View, California. LinkedIn Local movement started in Coffs Harbour (New South Wales, Australia) when Anna McAfee published a simple post on LinkedIn to get to know the people behind the profiles. She included the hashtag #LinkedInLocal and invited other LinkedIn users to host their own events. The movement has since grown into a global phenomenon with events hosted in over 100 countries.
Tell me everything you know about LinkedInLocal in Montreal, Quebec.
LinkedIn Local events are organic meetups hosted by members all over the world. #LinkedInLocalMTL is a LinkedIn Local event in Montreal, Quebec. It provides an opportunity to network, build community, discuss industry trends, and share best practices for using LinkedIn. The event aims to connect individuals before connecting professionals and focuses on human-to-human interaction.
Comment: there wasn’t much about #LinkedInLocalMTL!
Who started LinkedInLocal in Montreal, Quebec?
I couldn't find information on who started LinkedInLocal in Montreal, Quebec. However, LinkedIn Local events are organic meetups hosted by members all over the world. #LinkedInLocalMTL is a LinkedIn Local event in Montreal, Quebec. It provides an opportunity to network, build community, discuss industry trends, and share best practices for using LinkedIn. The event aims to connect individuals before connecting professionals and focuses on human-to-human interaction.
What is Turing's description of Artificial Intelligence?
Alan Turing's definition of Artificial Intelligence would have fallen under the category of "systems that act like humans." He defined intelligent behavior as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool an interrogator. The Turing Test was designed to provide a satisfactory operational definition of intelligence. At its simplest form, artificial intelligence is a field that combines computer science and robust datasets to enable problem-solving.
What is ChatGPT?
#ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI and released in November 2022. It is built on top of OpenAI's GPT-3.5 and GPT-4 families of large language models (LLMs) and has been fine-tuned using both supervised and reinforcement learning techniques. ChatGPT is a member of the generative pre-trained transformer (GPT) family of language models. It was fine-tuned over an improved version of OpenAI's GPT-3 known as "GPT-3.5". ChatGPT is designed to provide natural, fluid, dialogue-like responses to queries.
What is the history of ChatGPT
ChatGPT was launched as a prototype in November 2022. It was built on top of OpenAI's GPT-3.5 and GPT-4 families of large language models (LLMs) and has been fine-tuned using both supervised and reinforcement learning techniques. The model's first version, GPT-1, was released in 2018. ChatGPT's history can be traced back to the early days of AI research when scientists first began exploring the possibility of creating machines that could understand and use human language. ChatGPT now saves conversation history automatically, which can be downloaded using a browser extension.
How do we learn how to use ChatGPT and ask the right questions?
ChatGPT is designed to understand and respond to natural language inputs. You can use it by typing your questions or statements in the chat box and ChatGPT will respond with an answer or a suggestion for the next turn. To ask the right questions, you can try to be as specific as possible and provide context when necessary. You can also try to break down complex questions into simpler ones that ChatGPT can better understand. I hope this helps!
Comment: not very helpful Bing, so I decided to ask the question a different way!
Can you give me some tips on how to ask better questions?
Sure! Here are some tips on how to ask better questions:
I hope these tips help you ask better questions!
What are the limits of ChatGPT?
ChatGPT has some limitations that you should be aware of. Here are some of them:
ChatGPT also has a character limit of about 500 words. However, users have reported a 4,096-character limit. If you reach this limit, you can ask the chatbot to continue its original response.
I hope this helps!
What is the timeline of Artificial Intelligence from the beginning to ChatGPT 4?
Artificial Intelligence (AI) has been around since the 1950s. However, it wasn't until the 2010s that AI began to gain traction and become more mainstream. In 2018, OpenAI released GPT-1, which was followed by GPT-2 in 2019. GPT-3 was released in 2020, and GPT-4 was released on March 14, 2023.
I hope this helps!
Comment: again not very helpful, I had to ask the question a different way.
Can you give more details on various events that occurred during the development of Artificial intelligence?
The history of Artificial Intelligence (AI) dates back to antiquity with philosophers mulling over the idea that artificial beings, mechanical men, and other automatons had existed or could exist in some fashion. In the 1700s and beyond, AI became increasingly more tangible thanks to early thinkers.
The first generation of AI researchers made these predictions about their work:
In the 1970s and 1980s, AI experienced a period of reduced funding and interest. However, in the 1990s and beyond, AI began to gain traction again.
Some notable milestones in AI development include:
I hope this helps!
Comment: #AI in the 1700’s Bing? Really??? And this was not much of a timeline. Finally, no mention of Eliza!
You skipped Eliza, the first AI chatbot! Eliza was developed in 1964 by Joseph Weizenbaum, Professor of Computer Science at MIT.
You are right! Eliza was developed in 1964 by Joseph Weizenbaum, Professor of Computer Science at MIT. Eliza was an early natural language processing program that simulated conversation by using a pattern-matching and substitution methodology. Thank you for bringing this to my attention!
Bard by Google
I had to use my VPN to use Bard: not yet available in Canada!
What is LinkedInLocal?
LinkedIn Local is a free program that allows members to connect with other professionals in their local area. Events are hosted by LinkedIn members and cover a variety of topics, including career development, business, and networking. LinkedIn Local events are a great way to meet new people, learn new things, and grow your professional network.
Here are some of the benefits of attending LinkedIn Local events:
If you're looking for a way to connect with other professionals and grow your career, LinkedIn Local is a great option. To find an event in your area, visit the LinkedIn Local website.
Comment: there isn’t a LinkedInLocal website Bard, look it up on #LinkedIn!
Who started LinkedInLocal?
LinkedInLocal was started by Alexandra Galviz and Anna McAfee in 2017. Galviz is a career coach and McAfee is a marketing strategist. They were both looking for a way to help professionals connect with each other in their local communities, and they saw LinkedIn as the perfect platform for this.
LinkedInLocal has since grown to become a global community of over 10,000 groups in more than 100 countries. Events are held every month, and they cover a wide range of topics, from career development to business to networking. LinkedInLocal is a great way to meet new people, learn new things, and grow your professional network.
Here are some of the things that Alexandra Galviz and Anna McAfee have said about LinkedInLocal:
Comment: actually, Alex Galviz was not there at the very beginning of LinkedInLocal!
Where did LinkedInLocal start?
LinkedInLocal started in Australia in 2017. Alexandra Galviz, a career coach, posted on LinkedIn asking if anyone would be interested in meeting up with other professionals in their local area. Anna McAfee, a marketing strategist, responded to the post and the two of them decided to organize a meeting. The first LinkedInLocal event was held in Sydney, Australia on May 22, 2017. The event was a success and it inspired other people to start their own LinkedInLocal groups. Today, there are over 10,000 LinkedInLocal groups in more than 100 countries.
I clicked on the “Thumbs down (Bad Response) button and corrected Bard:
The LinkedIn Local movement started in Coffs Harbour (New South Wales, Australia) when Anna McAfee published a simple post on LinkedIn to get to know the people behind the profiles. She included the hashtag #LinkedInLocal and invited other LinkedIn users to host their own events1. The movement has since grown into a global phenomenon with events hosted in over 100 countries.
Alexandra Galviz joined the movement a couple of months later.
What is the history of LinkedInLocal?
LinkedInLocal is a free program that allows members to connect with other professionals in their local area. Events are hosted by LinkedIn members and cover a variety of topics, including career development, business, and networking. LinkedIn Local events are a great way to meet new people, learn new things, and grow your professional network.
LinkedInLocal was started in Sydney, Australia in 2017 by Alexandra Galviz, a career coach, and Anna McAfee, a marketing strategist. Galviz and McAfee were both looking for a way to help professionals connect with each other in their local communities, and they saw LinkedIn as the perfect platform for this.
Recommended by LinkedIn
The first LinkedInLocal event was held on May 22, 2017. The event was a success and it inspired other people to start their own LinkedInLocal groups. Today, there are over 10,000 LinkedInLocal groups in more than 100 countries.
LinkedInLocal has been praised for its ability to help professionals connect with each other in a more personal and meaningful way. The program has also been credited with helping to boost job opportunities and economic growth.
In 2020, LinkedInLocal was expanded to include virtual events. This allowed members to connect with each other even when they couldn't meet in person. Virtual events have been a great way for members to stay connected and learn new things during the COVID-19 pandemic.
LinkedInLocal is a valuable resource for professionals of all levels. The program is a great way to meet new people, learn new things, and grow your professional network. If you're looking for a way to connect with other professionals in your area, I encourage you to check out LinkedInLocal.
I had to correct Bard again (very easy in fact):
The LinkedIn Local movement started in Coffs Harbour (New South Wales, Australia) when Anna McAfee published a simple post on LinkedIn to get to know the people behind the profiles. She included the hashtag #LinkedInLocal and invited other LinkedIn users to host their own events1. The movement has since grown into a global phenomenon with events hosted in over 100 countries.
The first LinkedInLocal was held on June 2, 2017, at a coffee shop in Coff's Harbour.
Here is an article by Anna McAfee on the first anniversary of #LinkedInLocal:
Alexandra Galviz joined the movement a couple of months later.
Tell me everything you know about LinkedInLocal in Montreal, Quebec?
LinkedIn Local Montreal is a group of professionals who meet monthly to network, learn, and share ideas. The group is open to all professionals, regardless of industry or experience level.
LinkedIn Local Montreal hosts a variety of events, including:
LinkedIn Local Montreal is a great way to connect with other professionals in Montreal, learn new things, and grow your career. If you're interested in joining the group, you can visit their website or follow them on social media.
Here are some of the benefits of joining LinkedIn Local Montreal:
If you're looking for a way to connect with other professionals and grow your career, LinkedIn Local Montreal is a great option. To learn more, visit their website or follow them on social media.
Who started LinkedInLocal in Montreal, Quebec?
The LinkedIn Local Montreal chapter was started by Sadya Smetana, a marketing and communications professional, in 2019. She saw the value in connecting with other professionals in her local area and wanted to create a space where people could come together to learn, share, and grow.
The chapter has since grown to over 1,000 members and hosts a variety of events each month, including networking events, educational workshops, and social gatherings. LinkedIn Local Montreal is a great way to connect with other professionals in Montreal, learn new things, and grow your career. If you're interested in joining the group, you can visit their website or follow them on social media.
Here are some of the benefits of joining LinkedIn Local Montreal:
If you're looking for a way to connect with other professionals and grow your career, LinkedIn Local Montreal is a great option. To learn more, visit their website or follow them on social media.
My response (after clicking the Bad Response button):
Sorry, you are wrong again Bard! LinkedInLocal in Montreal, Quebec was started by John Marrett and Godwin Chan. The first LinkedInLocal in Montreal was held on November 14, 2017 at Hurley's in downtown Montreal.
I (John Marrett) was one of the people who started LinkedInLocal in Montreal ... and I have never heard of Sadya Smetana!
Here is my LinkedIn post after the 2nd LinkedInLocal in Montreal:
PS: #LinkedInLocalMontreal's 36th event will be held on April 27, 2023!
What is Turing's description of Artificial Intelligence?
Alan Turing, a British mathematician and computer scientist, is considered to be the father of artificial intelligence (AI). In his 1950 paper, "Computing Machinery and Intelligence," Turing proposed a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. This test, now known as the Turing Test, is still used today as a benchmark for AI systems.
Turing defined intelligence as "the ability to carry out any intellectual task that a human being can." He proposed that a machine could be considered intelligent if it could successfully imitate a human in a conversation. In other words, if a human interrogator could not tell the difference between a machine and a human during a conversation, then the machine could be said to be intelligent.
The Turing Test is not without its critics. Some argue that it is too anthropocentric, or human-centered, and that it does not adequately measure true intelligence. Others argue that the test is too easy to game, and that machines can be programmed to give the appearance of intelligence without actually being intelligent.
Despite its critics, the Turing Test remains an important benchmark for AI systems. It is a useful way to measure the progress of AI research, and it has helped to shape the development of AI systems over the past 70 years.
What is ChatGPT?
ChatGPT is a large language model chatbot developed by OpenAI. It is built on top of OpenAI's GPT-3.5 and GPT-4 families of large language models (LLMs) and has been fine-tuned using both supervised and reinforcement learning techniques.
ChatGPT was launched on November 30, 2022, by San Francisco–based OpenAI, also the creator of DALL·E 2 and Whisper AI. The service was initially free to the public and the company had plans to monetize the service later. By December 4, 2022, ChatGPT had over one million users. In January 2023, ChatGPT reached over 100 million users, making it the fastest growing consumer application to date. CNBC wrote on December 15, 2022, that the service "still goes down from time to time". In addition, the free service is throttled. During periods the service was up, response latency was typically better than five seconds in January 2023.
ChatGPT is still under development, but it has the potential to be a powerful tool for communication, education, and entertainment.
What is the history of ChatGPT?
ChatGPT is a large language model chatbot developed by OpenAI. It is built on top of OpenAI's GPT-3.5 and GPT-4 families of large language models (LLMs) and has been fine-tuned using both supervised and reinforcement learning techniques.
ChatGPT was launched on November 30, 2022, by San Francisco–based OpenAI, also the creator of DALL·E 2 and Whisper AI. The service was initially free to the public and the company had plans to monetize the service later. By December 4, 2022, ChatGPT had over one million users. In January 2023, ChatGPT reached over 100 million users, making it the fastest growing consumer application to date. CNBC wrote on December 15, 2022, that the service "still goes down from time to time". In addition, the free service is throttled. During periods the service was up, response latency was typically better than five seconds in January 2023.
ChatGPT's development began in 2021, when OpenAI began work on a new large language model that would be more capable of generating text and carrying on conversations than previous models. The team used a variety of techniques to train ChatGPT, including supervised learning, reinforcement learning, and self-supervised learning.
In 2022, OpenAI released ChatGPT to the public. The service was initially free to use, but OpenAI later announced plans to monetize it. ChatGPT has been praised for its ability to generate realistic and engaging text, and it has been used for a variety of tasks, including writing creative content, translating languages, and answering questions.
However, ChatGPT has also been criticized for its potential to be used for malicious purposes, such as generating fake news or creating deepfakes. OpenAI has taken steps to address these concerns, such as developing tools to detect and prevent the misuse of ChatGPT.
Overall, ChatGPT is a powerful tool that has the potential to be used for a variety of purposes. However, it is important to be aware of the potential risks associated with using ChatGPT, and to use it responsibly.
How do we learn how to use ChatGPT and ask the right questions?
There are a few things you can do to learn how to use ChatGPT and ask the right questions.
First, it is important to understand the limitations of ChatGPT. ChatGPT is a large language model, but it is not a human being. It does not have the same level of understanding or intelligence as a human being, and it can sometimes make mistakes.
Second, it is important to be clear and specific in your questions. ChatGPT is trained on a massive dataset of text and code, but it can sometimes be difficult for it to understand complex or ambiguous questions.
Third, it is important to be patient. ChatGPT is still under development, and it is not always able to provide accurate or helpful answers. If you are not satisfied with an answer, you can try rephrasing your question or asking a different question.
Fourth, it is important to be respectful. ChatGPT is a tool, and it is important to use it respectfully. Do not use ChatGPT to generate harmful or offensive content.
Finally, it is important to have fun! ChatGPT is a powerful tool that can be used for a variety of tasks. Experiment with ChatGPT and see what it can do.
What are the limits of ChatGPT?
ChatGPT is a large language model, but it is not a human being. It does not have the same level of understanding or intelligence as a human being, and it can sometimes make mistakes. Here are some of the limits of ChatGPT:
It is important to be aware of the limitations of ChatGPT and to use it responsibly.
What is the timeline of Artificial Intelligence from the beginning to ChatGPT 4?
The timeline of Artificial Intelligence (AI) is a long and winding one, with many different researchers and scientists making significant contributions along the way. Here is a brief overview of some of the key milestones in the history of AI:
The timeline of AI is still being written, and it is impossible to say for sure what the future holds. However, one thing is for sure: AI is a powerful technology with the potential to change the world.
Conclusion
Despite the errors, most of Bard’s responses were of higher quality than those of Bing. So I would say that Bard “won” this contest.
As to the uses of Generative AI tools like ChatGTP, Bing, & Bard, I would never use them to find the answer to a question and then go ahead and print it: there are too many errors! Generative AI tools are, however, excellent at giving us background information and helping us to get ideas on subjects we want to write about!
Additional Reading
Here are some articles about #GenerativeAI you may find interesting.
© John Marrett 2023
About me
I’ve been in sales, marketing and CRM consulting for over 20 years. I write occasional articles and posts about issues I have found in LinkedIn.
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All articles © John Marrett 2015 to 2023