M3GAN isn’t a True Reflection of Modern AI, but the Tech is Embedded in Our Entertainment Already


For many, artificial intelligence is as captivating as it is almost terrifying. It presents the capacity to absorb, analyze, and breakdown massive amounts of data incredibly quickly and even learn from the data points that it’s fed. On the other hand, the ability for a machine to learn, point out the worst of humanity, and even act uncannily sentient has people thinking to the many AI-gone-wrong flicks that Hollywood has produced, like Blade Runner and iRobot.

After the surprise hit M3GAN, the general public’s fears have been amped up another notch. In the particularly chilling horror movie, an AI-powered doll designed to comfort and look after an orphan learns and develops to become more and more independent in its efforts to oust threats. CNN reports author Daniel H. Wilson as saying that the movie is a clear metaphor for the unintended consequences of creating autonomous robots.  

Luckily, AI hasn’t developed with robotics to the point of depictions in entertainment like M3GAN being a reality yet, but we may not be many decades away from achieving such a feat. In the meantime, AI is already having a profound impact on the entertainment industry at large, even though there won’t be Hollywood blockbusters based on its current state of use.

Moviemakers capitalizing on the money and time-saving tech

In the moviemaking business, reshoots and the editing process – especially where CGI is involved – can be cripplingly slow going, costing more and more money for the production. In the making of Fall – a 2022 thriller about climbing a TV tower and also included mountain climbing scenes – director and co-writer Scott Mann had to call on the help of AI to make his movie compliant with studio demands.

The first cut of Fall features enough swearing to land it an R rating, but the heads of Lionsgate requested that it be brought down to PG-13. This meant removing some 34 f***s from the flick, but reshoots would have required the crew to return to a mountaintop, which would have been as time-consuming as expensive. Instead, Mann turned to AI software that could edit mouth movements and facial expressions in the footage to fit the new dialogue.

Mann is also the co-CEO and founder of Flawless, which specializes in these kind of AI applications, hoping to cut the costs of reshoots through a process called “vubbing.” Many other AI-powered filmmaking tools are out there now, too, such as Runway, which helps with video masking. Away from the footage, Warner Bros. has been using the AI platform Cinelytic to predict how successful its movies will be at the box office. Perhaps it’s the AI’s fault that why the company’s new CEO, David Zaslav, canceled a couple of completed movies on arrival.

Using deep learning to refine the online entertainment experience

In every corner of online entertainment, users are inundated with content. Whether it’s video streaming platforms or casino gaming sites, users have hundreds, thousands, or even hundreds of thousands of choices to choose from for their next stint of entertainment. This alone can make it very difficult for people to find what they want to access or what may appeal to them, hindering the experience and making the convenient world of online entertainment rather inconvenient.

Due to this, platforms will do their best to put products into categories and order them in a way that should appeal to the masses. At the online casino Betway, there are sections for new games, top games, slots, slingo, roulette, and more, with each tab further organized. While it isn’t overtly noted, the slots on the slot page are ordered by the platform by popularity or importance – with importance gained by being new or exclusive. This is why 9 Masks of Fire and Lara Croft: Temples and Tombs are at the top rather than the more visibly dated Centre Court or Ladies Nite.

Helping with this is a myriad of new AI products for such online entertainment platforms to enable them to offer the best, most personalized experience. Similar systems power the first YouTube videos that you see, or what Netflix recommends after you’ve watched a few shows and flicks. VAIX is one such AI-empowered tool, making use of the deep learning AI can master to create more accurate and viable “Recommended For You” sections.

Making the new realities even more realistic

Augmented reality and virtual reality technologies are presently more embedded in the entertainment industry than just about anywhere else. However, expanding on the technology, increasing the realism of software, and increasing the accuracy of assessments will make the tech much more applicable beyond entertainment. This is what The Boiler Room has opined, particularly stating that AI can enhance the VR world experience through predictive analytics.  

In the realms of augmented reality – where the tech is to bring digital elements into view while in the real world – AI can be especially useful in enhancing its effectiveness. An AI algorithm could be capable of collecting more data points in the view of the hardware and learning how to best showcase the more meaningful findings to the user. Thinking for tech like AR glasses, object detection, classification, and analysis could become much faster with AI.

So, while M3GAN isn’t a true reflection of the modern applications of AI, the tech has made its way into the realms of entertainment, and is doing rather well by all accounts.

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