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While AI has been a part of game development for years, generative AI’s ability to create assets for games instantly is a relatively new component. This new technology has the capacity to serve as a tool for game developers, especially those with smaller teams — and, according to the creators of Story Machine, it already is.

Generative AI is not without its critics, but Story Machine contends that its intended to work as a creative aid and help for developers, not a replacement. It’s targeted, not at large game studios, but indie developers who don’t have the programming or artistic aptitude to build all of the assets for the games themselves.

One of the often-overlooked parts of movie-making is how Hollywood blockbusters are distributed worldwide. While subtitles are common, dubbed audiences more widely embrace films to the point that certain native stars get associated with English-speaking performers. Variety reports that the Italian dubbing workers and voice actors are going on strike over the studios laying the groundwork to replace them with AI dubbing.

Italian voice actors and dubbing workers have been on strike since February 21st and will continue for at least another week. The complaints from the workers sound very similar to those of Marvel’s VFX contractors: low wages, long hours, and an unsustainable pace of work. Now that AI programs are becoming widely available and more cost-efficient than human work, the union worries dubbing will be fully overtaken by machines.

Rodolfo Bianchi, head of Italy’s dubbing director’s organization ADID, explained, “We are forced to sign contracts in which we give away the rights to the use of our voice, this also involves the use of our voice for artificial intelligence purposes.” AI is already capable of realistic deep fakes, including appropriating celebrity voices, and with how far the technology has come in a relatively short period, Bianchi’s fears are well-founded. While a computer program would struggle to match the tone and tenor of a voice during a dramatic performance, it can be done, and it can be done cheaply.

It’s called 2dumb2destroy, and it lives up to its name.

Acting stupid can be fun. So, some developers produced a goofy little chatbot called “2dumb2destroy.” The system is trained on entertaining datasets that emerge from crap like all seven “Police Academy” movies, quotes and lines from the Naked Gun films, Pauly Shore features, the sayings of Homer Simpson, Ralph Wiggum quotes, and a lot more useless but fun stuff.

It was created by the developer of OpenAI’s GPT-3, Craig Shervin and Steve Nass, who met while working at a New York advertising agency.

2dumb2destroy.

In a stunning turn of events, a top-ranking AI system was soundly defeated by a human player in the strategic board game Go. This marks a significant reversal of the 2016 victory by the computer, which was widely celebrated as a landmark achievement in the field of artificial intelligence. The victorious player, Kellin Pelrine, holds a rank just below the top amateur level and was able to exploit a previously unidentified vulnerability in the AI system that had been detected by another computer. The games were played without any direct computer assistance, and Pelrine emerged as the clear winner by winning 14 out of 15 games.

Financial Times mentioned that this victory, which has not been previously disclosed, brought to light a flaw in the top Go computer programs that is common to many of today’s prevalent AI systems, including San Francisco-based OpenAI’s ChatGPT chatbot. The strategy used to win the Go match was proposed by a computer program that investigated the AI systems to discover any weaknesses. Pelrine, who executed the proposed plan with merciless precision, was able to use the tactics to put the human player back on top of the Go board.