Revolutions are funny because you rarely experience one while it is happening. We've been using ai tools such as OpenAI's GitHub Copilot ChatGPT-enabled code assistant and Microsoft Azure in our ai development for years. So we didn't feel the need to wear a beret and shout power to the ai systems or viva machine learning algorithms.
Using Amazon web services to manipulate enormous big data felt like something other than revolutionary ai research. We even experimented with IBM Watson and Google's Word2Vec, always looking for ways to break massive data sets into meaningful reports and dashboards to aid decision-making for the startups and Fortune 100 brands we work with. But, again, using ai technology felt less revolutionary than complex puzzles and business models in search of human intelligence search of solutions.
Some revolutions smolder on the left-hand side of Geoffrey Moore's technology adoption curve for years. Other technologies, like Facebook, move from Moore's early adopters to the early majority fast. It took Facebook only ten months to have a million users, but that's slow compared to the two-and-a-half months OpenAI's chatbot needed to reach its early majority.
Catching up with friends is fun, but generative ai or speaking with ChatGPT and having it respond in real-time as if you were talking to a friend over coffee must be a sign of the fourth industrial revolution. The artificial intelligence implication for healthcare, business models, Siri, social media, entrepreneurs, and automation are so vast we don't know what we don't know, but use links below to learn more about how the AI revolution is changing your world.
OpenAi’s generative pre-trained transformer ChatGPT creates a new relationship between us (humans) and them (technology). The artificial intelligence large language model (LLM) OpenAI used makes their chatbot sound and feel human. Earlier, I said using chatgpt was like talking to a friend over coffee, and I was only half kidding. GPT-4 is more than an AI tool. It’s a revolution.
Our programmers have been using the GPT 3.5-enabled GitHub Copilot for years. To say natural language processing and Openai’s chatbot benefit our software development would be to have a gift for understatement, and I’m not. As I’ve shared with our web development team, just as Amazon Alexa requires prompts to follow its programming language, generative pre-trained transformers like OpenAI’s ChatGPT need prompt optimization, thus the need for “prompt engineers.” Only one of the new jobs AI Chatbots will create.
We’re cutting through the hype by working furiously on APIs, ai models, algorithms, and backend solutions using ai technology from OpenAI, Google, Microsoft, and other ai systems. But, just as an individual’s AI productivity is about the prompts, your company gains from productive use cases. Use cases happen when we bend computer programming to our will to solve real-world problems. Ask Eric, a ChatGPT chatbot augmenting traditional FAQs, is one web development use case that will impact web design. Read my ChatGPT: How It Will Change Your Website article to discover other ways AI and ask ChatGPT will affect your website.
"AI tsunami" refers to the rapid growth and widespread adoption of artificial intelligence (AI) technologies sure to change how we live and work. The "tsunami" metaphor describes the speed and magnitude of these transformative and disruptive chatbot changes. ChatGPT enables real-time "discussions" with human-sounding ai technology.
We've been using ai tools such as GitHub Copilot for automation in how we write code and create software for years, now thanks to OpenAI's machine learning (ML) algorithms, the startups, healthcare companies, banks, and Fortune 100 brands we work with will use artificial intelligence like ChatGPT to create tsunami events such as new learning systems, early warning systems for brand intelligence, and social media marketing on LinkedIn, Instagram, and Facebook that taps their target audience neural networks.
Well, maybe that last thing is far off, but you get the idea. Much like a tsunami, all the water goes out only to come rushing back in, so before you drown, read my AI Your Guide To What's Coming and bring a towel.
ChatGPT4 doesn’t blow gpt-3.5 out of the water, but OpenAI’s ai tool is at least thirty percent better. We know that because we don’t have to work as hard, and the large language model’s (LLM) multimodal latest version has rocked users from New York to Ukraine. If you’re still on OpenAI’s waitlist to subscribe, you should do so the first chance you get because ChatGPT4’s dataset produces more robust answers about everything from Trump to robotics.
I asked our Content Marketing Director, Martin Wescott Smith, to review ChatGPT4 by sharing his real-world use cases. Martin “talks” to ChatGPT daily and spent his money on a subscription even after I offered to have WTE pick up the tab. Martin is becoming a form of generative ai with content creation, imagination, and marketing strategy coming faster and better thanks to artificial intelligence. If we could build a Martin API or a Martin AI Chatbot, we wouldn’t have to pay Microsoft so much.
That’s probably not true since no matter what version of ChatGPT we are on, Martin’s training data is set lucky his LLM includes Procter and Gamble and M&M/Mars before he jumped off the startups and ecommerce cliff. Martin talks about the “ChatGPT Plus” experience, like using ChatGPT was the search engine he always dreamed of but never found. Daily use produces some human deep learning, so reading Martin’s ChatGPT4 Review is a pre-trained transformer capable of passing the bar exam, isn’t that one of the capabilities of gpt-4?
All these generative pre-trained transformer iterations need to be clarified. Please read
Martin’s ChatGPT4 Review and use your natural language to give us some human feedback about the new features you like, love, and want to use. Have you tried Bard? How would you compare the tool AI tools? Do you think biases exist in ChatGPT4’s language processing? Does OpenAI’s ChatGPT need regulation? Should we pause as Elon Musk and others suggest? Please riff your thoughts on these or other topics to my email eric (at) wte.net. Rock On!
Before ChatGPT natural language impressed millions artificial intelligence changed the developer experience with the ChatGPT-3.5 enabled GitHub Copilot. Every programming language we use, pull request we submit, technical preview we share, VS Code and application program interface (API) we write, unit test we run, and repositories we call are easier with GitHub Copilot’s machine learning as part of our integrated developer environment (IDE) and visual studio. GitHub Copilot is one of our most important development tools.
The OpenAI Codex is an advanced AI language model. It is a sibling to GPT-3 and specializes in understanding and generating code across multiple programming languages. Codex has been trained on a diverse range of programming resources, including code repositories, tutorials, and other technical documentation. As a result, it is capable of completing code snippets, solving programming problems, and even providing explanations or examples for various coding concepts.
That’s why I was excited to gain early access to and review GitHub Copilot X whose generative ai, code suggestions, code completion, autocomplete, and code generation promised to be that much better than codebase written with OpenAI’s and GitHub’s previous iteration. To say our developers code is better, developer productivity more efficient, and development lifecycle an order of magnitude faster thanks to the future of ai-powered software development would be to have a gift for understatement and I have no such gift.
GitHub Copilot X will impact everything from the lines of code we write to the boilerplates we’ve created. Boilerplates help workflows, but they need updating and revision and GitHub Copilot X’s ai model, Copilot Chat, powered with OpenAI’s GPT-4 are going to change our software engineering, command line (CLI) coding, and the Microsoft frameworks we use to create just changed. Learn how and what those changes mean to your next software development by reading my GitHub Copilot X review.
It may be easier to discuss how AI won't change branding and digital marketing since that set is bound to be smaller than the thousands of ways artificial intelligence is sure to change how we build brands. However, the chatbot invasion, the AI Tsunami, should change your marketing strategy, content creation, decision-making, and possibly your marketing team.
Machine learning and the real-time ai marketing and ai tools with the automation they bring will change e-commerce, B2B digital marketing, content marketing, and the customer experience your potential customers want and expect.
Within months of reading this, customers expect personalized product recommendations, social media marketing that fits their target audience and demographics like a glove, and high-quality use cases that change their user experiences. And you'll know how to create unique targeted content thanks to your ai algorithms, social media sentiment analysis, and marketing tools, such as the Rideology feed we're working on to curate social and website content.
AI will change SEO, too, as customers expect answers faster. Your digital marketing strategy will need more videos and automated email marketing. Ai means the end of broadcast marketing as ai marketing strains customer data to make our websites a customer relationship management (CRM) tool where the use of ai to manage workflow and determine what a customer should see to improve conversion rates.
Customer support built on the voice revolution started by Alexa, and Siri will use AI to revolutionize CRMs as algorithms and ai tools such as ChatGPT to replace human intervention with bots that sound and feel human. So forget those clunky AI bots you've experienced as you attempt to cancel a hotel reservation or check on your bank balance. Instead, tomorrow's chatbots will use predictive analytics to identify trends and predict your behavior.
Does Amazon have a lot of prices now? Just wait until their big data metrics and marketing plans meet the next-gen artificial intelligence. Amazon will test and use optimization to know what button works best for you. Then, they'll fit your online behavior into their marketing trends and change your pricing and content to maximize conversion. Going to a website will be like a trip to a personalized Disneyland.
We're experiencing the artificial intelligence (AI) machine learning, ai writing, and content marketing revolution. As we noted, revolutions are funny because time is the only thing to move past hype to create perspective, and we have only had a little time since OpenAI3 blew up the Internet in December. Likewise, digital marketing, from search engine optimization (SEO) to create high-quality social media marketing, content creation, and copywriting, is changing thanks to ai tools such as ChatGPT.
Social media management will change thanks to AI templates, Instagram posts, influencer marketing, and ai metrics sure to make understanding hashtags for engaging content easier, automated, and more efficient. Our lot of time calculations for everything from writing an API to developing social media content gets “more” and “better.” We’re brainstorming how automation and ai-generated content changes our long-form content and how it works.
Natural language processing is changing how we reach our target audience and help our customers create the types of content that earn customer hearts, minds, and loyalty. Everything from product descriptions to our Instagram captions changes our ai as our new algorithms read how our social media posts perform on social media platforms from LinkedIn to Instagram.
Discover other AI posts we call our “copy ai” to learn how your small business website and digital marketing will change thanks to ChatGPT and AI.