Generative AI is absolutely everywhere right now, so it's no surprise to see Spotify putting it to use in its latest feature, simply called "DJ." It's a new way to immediately start a personalized selection of music playing that combines Spotify's well-known personalization tools that you can find in playlists like Discover Weekly as well as the content that populates your home screen with some AI tricks. I got early access to DJ and have been playing with it for the last day to see how Spotify's latest take on personalized music works, but the feature is available as of today in beta for all premium subscribers in the US and Canada. While Spotify has loads of personalized playlists for users, I've found that the app lacks a simple way to tell it to just play some music you like. On Apple Music, for example, I can ask Siri to play music I like and it'll start a personalized radio station based on music I've played alongside some things it thinks I'll enjoy but haven't played before. It's a reliable way to jump right into my collection.

ChatGPT is a state-of-the-art language model which is developed by OpenAI. It's an AI model trained on a large corpus of text data that generate human-like responses to a given prompt. The tool is designed for natural languages processing tasks such as conversation and text generation. Google Bard is another AI-powered Chatbot which is developed by Google. This tool is a conversational AI service that uses Google's Language Model for Dialogue Applications or LaMDA.

In the recent few months, the world's tech giants came rushing with their artificial intelligence platforms into the mainstream market. ChatGPT, Bing, and Bard are the big names that will be competing for the user base, and are already being integrated into online search systems. The use of ChatGPT-like algorithms in web searches will result in increased operating costs for big tech. But there's a bigger problem, surpassing even those $100 billion that Google lost from its market value due to a forgotten error in the ad of its AI. Platforms similar to the popular ChatGPT have impressive content creation capabilities, in some scenarios rivaling those of humans.

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One of the most prestigious publishers of science fiction short stories has closed itself to submissions after a deluge of AI-generated pitches overwhelmed its editorial team. Clarkesworld, which has published writers including Jeff VanderMeer, Yoon Ha Lee and Catherynne Valente, is one of the few paying publishers to accept open submissions for short stories from new writers. But that promise brought it to the attention of influencers promoting "get rich quick" schemes using AI, according to founding editor Neil Clarke. In a typical month, the magazine would normally receive 10 or so such submissions that were deemed to have plagiarised other authors, he wrote in a blog post. But since the release of ChatGPT last year pushed AI language models into the mainstream, the rate of rejections has skyrocketed.

OpenAI and its association with Microsoft Corp. (NASDAQ:MSFT) has perked up interest in artificial intelligence and companies that may have even the remotest ties with the technology. At least one technocrat isn't impressed with what has transpired. What Happened: Tesla CEO Elon Musk lamented how ChatGPT parent OpenAI, a company he co-founded in December 2015, has evolved. He was responding to a tweet by substack journalist and Grit Capital CEO Genevieve Roch-Dector, who noted that Musk views AI as "one of the biggest risks" to civilization and needs to be regulated. "He co-founded AI," she pointed out.

What does ChatGPT, the "fastest-growing consumer application in history," mean for the future of work? More broadly, will generative AI soon graduate from the being the latest consumer entertainment to become a significant business application and a new basis for competitive advantage? And are enterprises ready for AI, any type of AI? Forrester just published a report on generative AI that tells its enterprise clients not to ignore or downplay its impact. Enterprises should start right now to experiment with generative AI, recommends Forrester, focusing on existing processes that can be enhanced by technologies "that leverage massive corpuses of data, including large language models, to generate new content (e.g., text, video, images, audio, code)." It would be "a costly mistake," says Forrester, to ignore the potential of generative AI to enable production of content at scale, to accelerate the speed and precision of data science practices and app development, to produce synthetic data for training AI and machine learning models, and to provide new defense opportunities for security professionals. In short, generative AI presents an opportunity to augment and even automate existing work processes in IT, marketing, customer service and other business functions.

David Wakeling, head of London-based law firm Allen & Overy's markets innovation group, first came across law-focused generative AI tool Harvey in September 2022. He approached OpenAI, the system's developer, to run a small experiment. A handful of his firm's lawyers would use the system to answer simple questions about the law, draft documents, and take first passes at messages to clients. The trial started small, Wakeling says, but soon ballooned. Around 3,500 workers across the company's 43 offices ended up using the tool, asking it around 40,000 queries in total.

I've been playing around with generative AI tools for the last few months, occasionally using them to write my intros or create images when I couldn't find or build the exact thing I wanted. These experiments have been diverting and, occasionally, valuable for my work. However, I haven't seen or experienced anything in this generative AI wild west that was compelling enough to motivate me to write the essay that the Managing Editor of Fintech Takes (an imaginary character who lives in my brain and is obsessed with clicks) has been begging me to write – How Generative AI Will Change Fintech and Financial Services Forever. I'm not going to shamelessly hype up generative AI or declare that any fintech company or bank that doesn't immediately start integrating generative AI into its processes and products is NGMI. In fact, today's essay could more accurately be classified as a warning not to rush too quickly into this brave new world. First, let's try to define what generative AI is and explain how it works.

The first time I learned about "Loab," it sent shivers down my spine. A strange dead-eyed ghoul that began haunting an AI image generator last year, Loab reminded me of a fiend I'd been tracking for years. This may not seem like an obvious connection to make. The Marquis de Sade, one of the most infamous names in all of writing, was an 18th century French aristocrat, a man known for debauchery and evading authorities, breaking out of prison and eluding his own public execution in 1772. Loab is very much a product of the modern age, the accidental creation of artist Supercomposite, who claimed to have "discovered" her in an AI text-to-image generator in April of last year.