More and more companies are choosing to deploy AI-powered chatbots to deal with basic customer service inquiries. At the ongoing Google Cloud Next conference in Las Vegas, the company has revealed the Gemini-powered chatbots its partners are working on, some of which you could end up interacting with. Best Buy, for instance, is using Google's technology to build virtual assistants that can help you troubleshoot product issues and reschedule order deliveries. IHG Hotels & Resorts is working on another that can help you plan a vacation in its mobile app, while Mercedes Benz is using Gemini to improve its own smart sales assistant. Security company ADT is also building an agent that can help you set up your home security system.

Artificial Intelligence (AI) has been evolving rapidly over the past decade. OpenAI's GPT-3 is one of the most talked-about AI tools today, and it has been revolutionizing the field of AI development. GPT-3 stands for Generative Pre-trained Transformer 3, and it is a state-of-the-art AI model that has been designed to learn and generate human-like language. In this blog post, we will explore the breakthrough AI tools of OpenAI, the difference between ChatGPT, PlaygroundAI, Dall-e, and GPT-3, and the impact of these tools on communication, learning, and work. OpenAI has been at the forefront of developing AI tools that are transforming how we interact with technology.

Where our mission is to create a legacy of wisdom, to seek out discernment and insights, to boldly grow where few have chosen to grow before. Hello, my friend, I am Guthrie Chamberlain, your captain on our journey to increase Wisdom and Create a Living Legacy. Thank you for joining us today as we explore wisdom on our 2nd millennium of podcasts. Today is Day 1488 of our Trek, and our focus on Fridays is the future technological and societal advances, so we call it Futuristic Fridays. My personality is one that has always been very future-oriented.

AI and broadband are eating retail for breakfast. In the first half of 2019, we've seen 19 retailer bankruptcies. And the retail apocalypse is only accelerating. What's coming next is astounding. Why drive when you can speak?

These solutions are especially popular with digitally native brands, which rely on more personalized customer interactions, figuring out a seamless way to handle customer service inquiries at scale, instant message technology that's complemented with some AI bot functionality has become a more popular choice. These companies receive a bunch of inbound website traffic because of the very nature of the direct-to-consumer business, and have found the increasing need to have a chat interface to answer customer questions. But instead of relying on the old AI-only models, they are using a variety of technology to better and more personally answer inquiries and lead clients on their purchase journey. For a DTC brand like Brooklinen, seamless customer service interactions are of the utmost importance. According to Jack Lorentzen, a customer experience manager for the bedding brand, the most important aspect of live chat is that customers are never talking to voiceless machines.

Machine learning in customer service is used to provide a higher level of convenience for customers and efficiency for support agents. Support-focused tools enabled with machine learning are growing in popularity thanks to their increasing ease-of-use and successful applications across a variety of industries. Gartner predicts that by 2021, 15 percent of customer service interactions will be handled completely by artificial intelligence. Despite it's growing popularity, there's still a lot of confusion concerning how artificial intelligence, and more specifically machine learning, fits within our current understanding of customer service. So let's clear some of that up.

Getting an autonomous vehicle to drive safely under idealized road conditions has technically been possible for a while now, but for the real world, the cars are going to have to learn to drive a little bit more like us. That's where Comma.ai, a startup founded by notorious iPhone hacker George Hotz, comes in. Rather than teaching its computer systems what a tree or a stop sign looks like, Comma.ai's Openpilot technology analyzes the patterns of everyday drivers to train its self-driving models. The company is pulling in millions of miles of driving data from a dashcam app called Chffr and a plug-in module called Panda, then aggregating that data to create an autonomous system that mimics human drivers.

By 2020, 85% of all customer service interactions will be handled without a human agent. As rapid advancements in technology continue transforming how businesses are developed in the modern world, entrepreneurs are actively exploring smarter ways to operate more efficiently and eliminate issues that have traditionally plagued progress and performance. From enterprise apps that make it easier to track real-time insights and manage customer relationships, to emerging tools that allow clearer communication between teams and a streamlined exchange of data -- one of the most important decisions startup founders face today is selecting the right software. As a result, the average small business is accustomed to integrating a wide range of cloud-based apps to address a complex array of business needs. In 2016, small businesses spent over $55 billion on these cloud-based services, with the average professional using between 10-16 apps daily.

While the entertainment industry has certainly played its part in influencing the public mindset when it comes to technology, thought leaders and tech industry heavyweights are increasingly weighing in and putting their money where their mouths are by investing in the latest and greatest technological advances. This is especially true when it comes to AI. As one of the hottest talking points on the internet, AI is a subject that everyone seems to have an opinion on. However, few people get their information about AI from scholarly resources or those who actually use AI in the course of their work or research. To gain a better understanding of what AI really is (and what it isn't) we need to break down some of the most common myths about this 21st-century tool.

Let's say you have a question regarding your bank account, so you visit your bank's website to find a phone number to call them. While you're looking for that, a chat box pops up in the corner of the window, asking if you'd like to chat live with an agent for help. "Why not?" you think to yourself, and click to start the conversation. So far so good, but let's say your question is how you can protect your account from your ex who may still have access. You explain the situation and the agent asks you questions about your account, eventually recommending that you create a new, separate account into which you can move your money.