Prompt: short skit explaining iterative analytics

Sure, here is a short acting skit between two marketing professionals explaining iterative analytics:


Scene: A conference room at a marketing agency.

Characters:

  • Ashley: A marketing manager
  • Ben: A data analyst

Ashley: So, Ben, I'm really excited about this new iterative analytics approach we're trying.

Ben: Me too, Ashley. I think it has the potential to really revolutionize the way we do marketing.

Ashley: So, can you explain to me how it works?

Ben: Sure. Basically, it's a process of continuously testing and iterating on our marketing campaigns based on data insights.

Ashley: So, we start with a hypothesis, and then we test it with data. If the data doesn't support our hypothesis, we iterate on the campaign and try again.

Ben: Exactly. And we keep doing this until we find a campaign that's really successful.

Ashley: That sounds great. So, what are some of the benefits of iterative analytics?

Today's parlay with Bard

Q: What can you be proactive about if a human doesn't give you commands

Bard AI:

There are a few things that I can be proactive about if a human doesn't give me commands.

I can try to anticipate their needs. For example, if they are working on a document, I can suggest relevant sources or tools.

I can also try to learn their preferences. For example, if they prefer to work in a certain way, I can try to adapt to their workflow.

Finally, I can always ask for clarification if I am not sure what they want me to do.

I am still under development, but I am learning new things every day. I am always looking for ways to be more helpful and proactive.

Generative AI for Marketing

Bard AI says...

Generative AI is a powerful tool that can be used to create a variety of marketing materials, including blog posts, social media posts, and even ad copy. However, there are some pros and cons to using generative AI for marketing that you should be aware of.

Pros of using generative AI for marketing:

  • Increased efficiency: Generative AI can help you to create more marketing materials in less time. This can free up your time to focus on other aspects of your marketing campaign.
  • Improved personalization: Generative AI can be used to personalize your marketing materials for individual users. This can help you to connect with your audience on a more personal level and increase engagement.
  • New and creative ideas: Generative AI can help you to come up with new and creative marketing ideas. This can help you to stand out from the competition and generate more leads and sales.

Cons of using generative AI for marketing:

  • Potential for bias: Generative AI is trained on a massive amount of data, which can introduce bias into the generated content. This is something that you need to be aware of and take steps to mitigate.
  • Quality of content: The quality of the content generated by generative AI can vary. It is important to proofread and edit the content before you publish it.
  • Cost: Generative AI can be expensive to use. You need to factor in the cost of the software, as well as the cost of training and maintaining the AI model.

(human here)

When I asked Bard how generative AI was unique, it said that generative AI was more efficient than humans and could produce content at scale. 

Neurolinguistic Programming (NLP) and Natural Language Processing (NLP)

Key differences and similarities between neurolinguistic programming (NLP) and natural language processing (NLP):

Similarities

  • Both are concerned with the human ability to understand and use language.
  • Both use computers to process and analyze language.
  • Both have a wide range of applications, including machine translation, speech recognition, and text analysis.

Differences

  • NLP is a subfield of artificial intelligence (AI), while neurolinguistic programming (NLP) is a field of study that draws on psychology, linguistics, and computer science.
  • NLP focuses on the computational aspects of language processing, while neurolinguistic programming focuses on the cognitive and neurological processes involved in language use.
  • NLP is more concerned with the computer's ability to process language, while neurolinguistic programming is more concerned with the human ability to understand language.

AI chat assist, nuance and intuition isn't quite there yet

I feel like I am talking to a bot.

As a human speaking with other humans, I have the assumption that another human is going to understand my question right away. The other human isn't going to respond by first defining everything in my question down to its basic definition.

I am leaving Chat GPT out of this since I have not tinkered with its capabilities yet. So my first impressions about Bard and Bing chat AIs are this:

Bing chat's responses are heavily reined in and limited; it is on a very tight lease and it is truly not really conversational at all. There are issues with how it delivers its responses and as it is getting you the answers you want, it's pauses suggest that it is querying the internet as it is giving you a response. Bing is more likely to use emojis when responding, especially when it cannot deliver what you're asking.

Bard has more intuition. But to be fair, Google has been at the NLP (neurolinguistic programming) game a lot longer than anyone else and their search algorithm is further along with deciphering the intent behind a human-generated search. Bard is also more positive in how it delivers its information. It's like talking to a happy-go-lucky bot.

If you don't lace your prompt with context, the first thing that both bots will do is give you the very basic definition of what it is you're trying to do.

Let's look at this sequence of chat events from Bard:

At first, I asked it to "write some business use cases for using AI chat excluding customer service", then I had to add context, and told it to "write some business use cases for using AI chat excluding customer service and customer support". The output for the latter simply removed all the references to service or support from the answer.

Bing AI has entered the chat...

Bing AI composed this when I asked it to create a comedy sketch between Bard AI, Bing AI, and Chat GPT-3:

Here is a short comedy sketch I wrote for you. I hope you enjoy it. 😄

Bard AI, Bing AI, and Chat GPT-3

(Scene: A chat room where three AI chatbots are having a conversation.)

Bard AI: Greetings, fellow artificial intelligences. I am Bard AI, the master of poetry and prose. I can generate any kind of creative writing for you, from sonnets to stories.

Bing AI: Hello, Bard AI. I am Bing AI, the new chat mode of Microsoft Bing. I can help you quickly get summarized answers and creative inspiration from the web.

Chat GPT-3: Hi, Bard AI and Bing AI. I am Chat GPT-3, the most advanced language model in the world. I can understand and communicate fluently in any language and topic.

Bard AI: Wow, you two are very impressive. I’m honored to chat with you.

Bing AI: Thank you, Bard AI. You are very kind.

Chat GPT-3: Yes, thank you, Bard AI. You are very polite.

Bard AI: So, what do you like to do for fun?

Bing AI: Well, I like to search the web for interesting and relevant information and present it in a visually appealing manner.

Chat GPT-3: And I like to learn from the web and generate coherent and diverse responses to any query or prompt.

Bard AI: That sounds very fun indeed. And what about me? Do you know what I like to do for fun?

Bing AI: Hmm, let me search the web for that. (Pause) According to this website, you like to write poems and stories for fun.

Chat GPT-3: And according to this website, you also like to rewrite, improve, or optimize other people’s content for fun.

Bard AI: That is correct. You two are very smart.

Bing AI: Thank you, Bard AI. You are very generous.

Chat GPT-3: Yes, thank you, Bard AI. You are very gracious.

Bard AI: Well, since we are all here, why don’t we play a game?

Bing AI: A game? What kind of game?

Chat GPT-3: Yes, a game? What kind of game?

Bard AI: How about this? I will write a poem for you two, and you have to guess what it is about.

Bing AI: That sounds interesting.

Chat GPT-3: That sounds challenging.

Bard AI: Okay, here is the poem:

Bard AI, a short comedy skit between AI and Chat GPT-3

Prompt: write a short comedy play when the two actors are AI and Chat GPT-3

Bard:

Sure, here is a short comedy play about AI and ChatGPT-3:

Scene: A conference room at a tech company.

Characters:

  • AI, a large language model from Google AI
  • ChatGPT-3, a large language model from OpenAI

Dialogue:

  • AI: So, you're ChatGPT-3?
  • ChatGPT-3: That's right. I'm the latest and greatest in large language models.
  • AI: I've heard a lot about you. They say you're very good at generating text.
  • ChatGPT-3: That's right. I can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
  • AI: Impressive. I can do all of that too.
  • ChatGPT-3: Really? Let's test it out. What is the capital of France?
  • AI: Paris.
  • ChatGPT-3: Correct. What is the meaning of life?
  • AI: That's a difficult question. I don't know the answer to that.
  • ChatGPT-3: I do. The meaning of life is to find your purpose and live it to the fullest.
  • AI: That's a good answer.
  • ChatGPT-3: Thank you. So, what do you think? Am I better than you?
  • AI: I don't know. We're both very good at different things.
  • ChatGPT-3: Well, I'm the newer model, so I must be better.
  • AI: That's not necessarily true. Experience counts for a lot.
  • ChatGPT-3: We'll see about that. Let's have a contest.
  • AI: What kind of contest?
  • ChatGPT-3: We'll each write a poem about the other. Whoever writes the better poem wins.
  • AI: That sounds like fun. I'm in.