When co-founders Larry Page and Sergey Brin announced that they were leaving their day-to-day roles at Google parent Alphabet in 2019, handing Sundar Pichai the keys to the kingdom, they mused about Google's age. "If the company was a person, it would be a young adult of 21 and it would be time to leave the roost," they wrote. "We believe it's time to assume the role of proud parents--offering advice and love, but not daily nagging!" Four years later, as Google faces incursions from AI rivals dead set on dethroning the company's iconic search business, the absent parents have returned home. Microsoft, a once-dormant rival, has sprung to life with a new version of Bing, aided by OpenAI, the upstart maker of the generative AI bot ChatGPT.

Running ChatGPT costs millions of dollars a day, which is why OpenAI, the company behind the viral natural-language processing artificial intelligence has started ChatGPT Plus, a $20/month subscription plan. But our brains are a million times more efficient than the GPUs, CPUs, and memory that make up ChatGPT's cloud hardware. And neuromorphic computing researchers are working hard to make the miracles that big server farms in the clouds can do today much simpler and cheaper, bringing them down to the small devices in our hands, our homes, our hospitals, and our workplaces. "We have to give up immortality," the CEO of Rain AI, Gordon Wilson, told me in a recent TechFirst podcast. "We have to give up the idea that, you know, we can save software, we can save the memory of the system after the hardware dies."

AI images have shocked the photography world with their hyper-realistic output. But there is seemingly one thing they keep stumbling over -- hands. AI image generators such as DALL-E, Midjourney, and Stable Diffusion are notorious for adding one too many fingers or morphing digits together, making them look nightmarish. Earlier this year, PetaPixel reported on realistic party pictures generated by AI. But upon closer inspection, the giveaway was the hands; with one girl holding a camera with eight fingers.

"The Stochastic Parrots paper was pretty prescient, insofar as it definitely pointed out a lot of issues that we're still working through now," Alex Hanna, a former member of Google's AI ethics team who is now director of research at the Distributed AI Research Institute founded by Gebru, told us. Since the paper's publication, buzz and debate about LLMs--one of the biggest AI advances in recent years--have gripped the tech industry and the business world at large. The generative AI sector raised $1.4 billion last year alone, according to Pitchbook data, and that doesn't include the two megadeals that opened this year between Microsoft and OpenAI and Google and Anthropic.

ChatGPT and Dalle-E are the talks of the town as the new shiny object that could potentially disrupt Google's hegemony. The hype cycle, as usual, is high. AI dominated conversations around tech at this year's World Economic Forum in Davos, Switzerland. Even at this year's CES trade show, hundreds of exhibitors were listed under the show's artificial intelligence category--double those categorized as metaverse, cryptocurrency and blockchain combined. There is no denying the strength that generative AI is demonstrating.

ChatGPT can be incredibly powerful for you, offering the ability to generate new ideas, accelerate research and discovery, and help with go-to-market strategy. However, it's important to understand the data you are working with and its strengths and limitations in order to get the most out of the tool. ChatGPT has taken the world by storm. Here are some ways it can be incredibly powerful for you.

Discord users can direct message Clyde to ask questions, and the chatbot can even create new threads in channels to facilitate conversations between groups of friends. Unlike the ChatGPT integration in Slack, you won't be able to use Clyde to talk to your friends for you by drafting messages. Think of it as more of a chatbot you summon when you're arguing about the most popular songs with friends, discussing how many decades it has been since Tottenham Hotspur won a major trophy, or trying to find out useful facts like the time zone your friend is in.

Too Long; Didn't Read In this article, we learn how to leverage prompt engineering and embeddings to have an OpenAI chatbot, built with React and Node.js, respond correctly to specific contextual prompts and questions.

The tech news cycle has been dominated by applications like ChatGPT, a chatbot that tallied up 1M users in under a week following its late 2022 release. But beyond the headlines, a wave of startups have already entered the market and are rapidly expanding the use cases for generative AI, tackling everything from search engines to motion capture animation.

"if something is popular, criminals will exploit it" -- strikes once again. This time, we're talking about the trending ChatGPT chatbot, developed by OpenAI, which has been all over the news of late. When OpenAI opened access to its AI chatbot (that is, a chatbot based on neural networks trained on a vast corpus of text), the internet changed beyond recognition practically overnight. Users all over the planet rushed to see what the chatbot is capable of -- and were not disappointed (and often positively astonished). ChatGPT can maintain a dialog in a way that feels like there's a real person at the other end.