I've been playing around with ChatGPT for a few days. It's the new artificial intelligence product, released 10 days ago by OpenAI, that answers questions and has taken the tech world by storm (you can find it here and it's free to use, at least for now). My interest was piqued by this tweet from a senior research engineer at Microsoft, Shital Shah: "ChatGPT was dropped on us a bit over 24 hours. It's like you wake up to the news of first nuclear explosion and you don't know what to think about it but you know the world will never be the same again." Someone tweeted "Google is dead #ChatGPT", and someone else wrote: "ChatGPT writes and thinks much better than the average college student IMO -- it def undermines the purpose of the assignment."

Allow me for a moment to discuss a new poem that has the potential to be a classic: "An Ode to the Infield Fly Rule." An esoteric baseball regulation, the infield fly rule is designed to prevent infielders from dropping pop flies intentionally to enable cheap double plays. I suspect that this might be the first poem ever written on this important topic. "Oh Infield Fly Rule, thou art a treasure A beacon of fair play beyond measure We thank thee for thy guidance and thy grace In the great game of baseball, thou dost hold a special place."

I met Dan Selsam when we were toddlers. He liked solving math problems. We both liked the show "ThunderCats." I became a comedy writer. Dan became a computer scientist.

Why do we mistake computer generated poems as the work of humans? From Wordsworth's "spontaneous overflow of powerful feelings" to Eavan Boland's "figure in which secret things confide," poetry is often defined by -- and extolled for -- its ability to convey human emotion. What, then, does it mean that we can not distinguish poems penned by humans from those generated by machine? Indeed, researchers Nils Köbis and Luca D.Mossink at the University of Amsterdam have found that humans cannot tell AI-generated poems from those written by amateur poets, or by well known professionals, provided a human selects the best poem from a set of machine-generated verses to compare. Have machines become as talented as our poets?

By Charles Simon, a nationally recognized entrepreneur and software developer. Let's look into a future in which thinking machines have surpassed humans in mental powers. Will computers be our partners or our masters? And how will computers see us? To answer, let's consider thinking machines after the initial creation of Artificial General Intelligence (AGI) – the ability of an artificial entity to learn and understand any intellectual task that a human can.

Rare is the poet who has failed to tackle the glory of trees, whether it's Joyce Kilmer ("I think that I shall never see / A poem lovely as a tree") or Philip Larkin ("the unresting castles thresh / In fullgrown thickness every May"). Now an artificial intelligence trained by experts on more than half a million lines of poetry has had a stab, coming up with the almost-comprehensible image of a "box of light that had been a tree". The algorithm, which those behind it believe is the best attempt to date at training an artificial intelligence to write poetry, was fed lines from more than 100 British contemporary poets as inspiration, learning from the style of poets such as Simon Armitage and Alice Oswald. It was then given "seed words", from which it would generate couplets based on its understanding of what poetry was. Experts from the Poetry Society, Poetry Archive and Scottish Poetry Library then filtered through tens of thousands of couplets to highlight what did, and didn't, work.

For all, you who are technology lovers, AI enthusiasts, and casual consumers with peaked interest, don't miss your chance to learn about the newest advancements in artificial intelligence and an opportunity to join the discussion on the ethics, logistics, and reality of super-intelligent machines. Explore the possibilities of super-intelligence improving our world and our everyday lives while you dive into this great list of TED Talks on artificial intelligence. We have compiled a list of the best TED Talks on AI, providing you with the information you seek on AI technological developments, innovation, and the future of AI. Here are the best TED Talks for anyone interested in AI. We hope you enjoy our list!

Microsoft's chatbot Xiaoice does a lot more than other bots. She has presented the weather on live TV and now even composed a book of poems. Xiaoice has written 12 million of poems in fact. In a paper on arXiv, researchers from Microsoft, National Taiwan University, and the University of Montreal explained that all text Xiaoice wrote is inspired by images. "Given an image, we first extract a few keywords representing objects and sentiments perceived from the image. These keywords are then expanded to related ones based on their associations in human written poems. Finally, verses are generated gradually from the keywords using recurrent neural networks trained on existing poems," according to the paper's abstract.

AI is without a doubt efficient. It is fast, precise, and unencumbered by the emotions that cloud human intelligence. An algorithm's got it covered. But what if the goal is to create art? Because it is a product of science and technology, we tend to associate AI with fields outside the creative world where logic instead of feelings reign supreme. It's an easy assumption to make because machines do lack emotional intelligence and intuition (for now).

Can a machine incapable of experiencing emotion write poetry that stirs the soul? A neural network trained on thousands of lines of poetry has tried its hand at penning its own rhymes that mimic certain forms of verse. The poetic bot is fully tunable, says Jack Hopkins, who developed the system while he was a researcher at the University of Cambridge. It can be programmed to write in a particular rhythm or pen poems on specific themes. Set the theme to "desolation", for example, and the angst-ridden AI comes up with the following snippet of verse: The AI can be endlessly tweaked to produce different flavours of poetry.