Even superforecasters are guessing that they'll soon be obsolete. To live in time is to wonder what will happen next. In every human society, there are people who obsess over the world's patterns to predict the future. In antiquity, they told kings which stars would appear at nightfall. Today they build the quantitative models that nudge governments into opening spigots of capital.

But no amount of amateur water drumming arranged in GarageBand could be even half as weird--and fun--as some of the music that AI can make these days. Welcome back to Science, Quickly.

There have been a couple of high-profile incidents in recent years in which cybercriminals have reportedly used voice deepfakes of company CEOs in attempts to steal large amounts of money--not to mention that documentarians posthumously created voice deepfakes of Anthony Bourdain. But are criminals at the turning point where any given spam call could contain your sibling's cloned voice desperately seeking "bail money?" No, researchers say--at least not yet. The technology to create convincing, robust voice deepfakes is powerful and increasingly prevalent in controlled settings or situations where extensive recordings of a person's voice are available. At the end of February, Motherboard reporter Joseph Cox published findings that he had recorded five minutes of himself talking and then used a publicly available generative AI service, ElevenLabs, to create voice deepfakes that defeated a bank's voice-authentication system.

If Tesla's humanoid robot wasn't enough to drive humans out of their jobs, Meta, Facebook's parent company, recently revealed that its CICERO artificial intelligence (AI) agent has become the world's first AI "to achieve human-level performance in the popular strategy game Diplomacy." AI is among the most in-demand pieces of technology with big tech clambering to develop smart AI assistants capable of doing everyday human chores, thus helping us focus on the more important stuff instead. While intelligent robots aren't likely to steal our jobs anytime soon, Zuckerberg's company seems to have hit a major milestone with its AI agent. Meta's CICERO is described as "an agent that can play at the level of humans in a game as strategically complex as Diplomacy is a true breakthrough for cooperative AI." For the uninitiated, Diplomacy is an American strategic board game created by Allan B. Calhamer in 1954.

Ready to have your mind blown? Artificial Intelligence (AI) has emerged in the music industry with its very first producer! SKYGGE might look like your average up-and-coming artist on Spotify, with just a couple of tracks to the name. It's actually a part-human-part-computer duo between French producer Benoit Carré and the AI program called Flow-Machines. An AI co-producer is behind two new tracks, "In the House of Poetry," and "Hello Shadow" featuring Jack Ü collaborator Kiesza.

Artificial intelligence, more commonly referred to AI, is changing the game for many industries. From healthcare to finance, AI is revolutionizing the way we go about our day-to-day lives. However, it isn't just major industries that are influenced by the developments in artificial intelligence. With the direction things are moving, AI may also affect the everyday person more than we think. While we struggle with an influx of fake news, AI could take that to an entirely different level.

Watch out IBM Watson, Google has its own kickass'Show and Tell' AI and it's getting pretty damn good at depicting what it sees in photos – and now everyone can use it. Today, the tech giant announced it's open-sourcing its automatic image-captioning algorithm as a model in TensorFlow for everyone to use. This means anyone can now train the algorithm to recognize various objects in photos with up to 93.9 percent accuracy – a significant improvement to the 89.6 percent that the company touted when the project initially launched back in 2014. Training'Show and Tell' requires feeding it hundreds of thousands of human-captioned images that the machine then uses and re-uses when "presented with scenes similar to what it's seen before." To learn smoother, Google's impressive AI also uses a new vision component that allows for faster training and more detailed captions as it's gotten much better at telling objects apart from each other.

Google has released the latest iteration of its machine learning system that figures out what's in an image and captions it, and it's better than ever. The company also made it open-source. Google has been working on the program since 2014, and now says the algorithm can describe a picture with 93.9 percent accuracy. The big question for the Google team, as they were working on this newest iteration that uses an Inception architecture, was whether the algorithm could do more than simply identify objects within images set before it. To really interpret and caption a photo, AI needs to understand not only what's in the picture but also how certain objects in the image interact with one another.