In this article, I would like to start with a recent announcement that Microsoft (NASDAQ:MSFT) made and then show how, even though it may be of little relevance, it offers once again the opportunity to understand how Microsoft runs its business and, most important, defends its wide moat. I really enjoy carrying out this kind of research, especially when I have to deal with a very large company such as Microsoft. In fact, I think that very often, understanding well how one particular choice works, enables me to get a grasp of the whole company better than if I were to analyze only its financials without diving into some of its operations. Let's get to the announcement: Microsoft is launching Microsoft Designer, a graphic design app in Microsoft 365 that helps users create social media posts, invitations, digital postcards, graphics, and more, all in a flash. The most important feature is that Microsoft Designer is powered by AI technology, including DALL E 2 by OpenAI, which enables to instantly generate a variety of designs with minimal effort.

Microsoft is reportedly in advanced talks with OpenAI to invest more in the seven-year-old research company. Both The Wall Street Journal and The Information, citing unnamed sources, said no deal has been reached and no funding amount settled on, but the two companies have met in recent weeks to discuss the possibilities. According to WSJ, OpenAI uses a huge amount of compute power to run its AI products on Microsoft Azure. Funds from any new investment could be used to help offset those costs. The money would come on top of the $1 billion Microsoft invested in OpenAI in 2019 in a deal that included OpenAI agreeing to jointly develop new supercomputing technologies for Azure based on its AI products and making Azure its exclusive cloud provider.

Many observers were disappointed with the recent demo of the AI-enabled "Optimus" robot at Tesla's AI Day. One reviewer cleverly titled his article "Sub-Optimus." However, these views actually miss the point. Whatever else may be said of Elon Musk, he is a genius at sensing timing and opportunity, applying technology and providing the necessary resources. The quality and enthusiasm of the engineering team suggest Optimus could succeed, even if it takes longer than the estimate of 3 to 5 years for full production.

When scenes created by the AI image generator DALL-E started circulating online earlier this year, it seemed inevitable that someone would turn the technology to fashion. DALL-E is part of a new crop of AI capable of creating extraordinarily detailed and realistic imagery from a text prompt, making it easy for anyone to use. Artists have quickly begun applying these programs to creating digital art, with one piece conjured up by the program Midjourney even beating out its human-generated competition for a prize. The same power could easily be used to whip up clothing designs. The idea is already becoming reality.

If you've had your ear to the ground for the past couple of years, you'll have heard at least some of the rumbles of debate over the ethics and impact of AI art. You may have even heard the names of some tools used to create AI art, like Midjourney, Stable Diffusion, and DALL-E. But you may also be wondering why these tools have spawned such strong opinions in the news, on social media, and even among people you know. After all, haven't we been having the "robots will take our jobs" discussion for decades, now? The hook behind these publically-available AI tools is that they can take wildly specific prompts and unflinchingly depict them, like an artist working on commission that doesn't care if you want a lifesize painting of Mario and Luigi eating a barbecued Toad, just as long as they get paid.

Deep learning is a subset of machine learning based on artificial neural networks. These neural networks mimic how the human brain learns, enabling them to learn from data without being explicitly programmed. As deep learning continues to evolve, we can expect even more impressive advancements in the field. Deep learning will play a key role in improving our understanding of natural language processing and image recognition. Additionally, it will help us create more accurate models for predicting outcomes and prescribing actions.

Venture capitalists are shaking themselves out of a bear market slumber to chase deals in a pocket of artificial intelligence that's spilled into the mainstream this year: AI that generates art, videos and writing. Jasper AI, which last year started selling an AI-assisted writing tool, raised funding from Insight Partners at a $1.5 billion pre-investment valuation around June this year, according to two sources familiar with the talks. Startup valuations have fallen since then. But earlier this month hedge fund Coatue Management paid a higher price for new shares in the Austin, Tex.–based Jasper, which has rapidly increased its revenues using software developed by startup OpenAI. Meanwhile, Descript, a startup that uses AI for video and audio editing and was founded by Groupon co-founder Andrew Mason, has been in talks with OpenAI CEO Sam Altman and other investors to raise a new round, according to people familiar with the discussions.

The biggest change to the Internet since crypto just happened. A whole new world of applications opened up to Founders in the last 6 months. Generative Tech is the next step in software. It turns deep learning engines into collaborators to generate new content and ideas nearly like a human would. Some have called it "Generative AI," but AI is only half of the equation. AI models are the enabling base layers of the stack. The top layers will be thousands of applications. Generative Tech is about what will actually touch us – what you can do with AI as a partner. The Generative Tech sector is developing at such a pace that it has already been validated by real revenues and high valuations, even though we collectively didn't have a name for it until a month ago. Open AI, which powers GTP-3 and other AI models, is rumored to be raising capital at a valuation of many 10's of billions.

You likely see the power of artificial intelligence (AI) daily when you log in to social media or order something online. Many companies use AI to improve business operations and automate more stages of the customer experience. The goal is for AI to allow machines to replace people so that you don't need a human touch for basic and even some complex tasks. With many companies investing in artificial intelligence, it's no surprise that there are AI-powered graphic generators that can create original works of art. We're going to look at the DALL·E 2, DALL·E Mini, and what the future of AI painting looks like. Before we analyze the world of AI-generated artwork, we're going to look at the two most popular tools you may have heard of, including DALL·E 2 and DALL·E Mini.

This morning, the New York Times' Kevin Roose called what has been a big week for generative AI tools a "coming out" party [subscription required]. He detailed an actual party, on Monday night, which celebrated a massive funding round for Stability AI, the startup behind Stable Diffusion, the uber-popular image-generating algorithm that was only launched publicly two months ago. But this week was chock-full of other significant news around generative AI (which refers to using unsupervised learning algorithms to learn from existing text, audio or images and create new content -- and now includes popular tools including GPT-3, DALL-E 2 and Imagen as well as nascent text-to-video options from OpenAI and Google). There was the news that Microsoft would add DALL-E to its Office suite and to Azure AI, while Adobe was planning to add generative AI tools to Photoshop and also committed to transparency in its use of generative AI. Then, besides Stable Diffusion's news, content generator Jasper also announced a massive funding round of $125 million, solidifying VC interest in the generative AI space.