Here at Ars, we've taken pleasure in reporting on versions of Doom that run on everything from wireless earbuds and printers to Windows' notepad.exe and even inside Doom itself. So when we hear that a piece of game-playing hardware from the '90s (or later) can't run Doom, our ears perk up.

That hardware is the Neo Geo, an early '90s game console that players of a certain age will remember for its eye-watering launch price and its relatively strong pixel-pushing power for the time. Despite that relative power, though, a fascinating new video from Modern Vintage Gamer argues that the Neo Geo's architecture makes it particularly ill-suited for a port of id's famously easy-to-port game.

At first glance, the Neo Geo seems like it should be up to the task of running Doom. The Motorola 68000 CPU inside the console is the same one powering the Commodore Amiga, which has seen quite a few homebrew Doom ports over the years.

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In April, GitHub announced that it was moving subscribers from request-based billing to a usage-based model for its AI-powered Copilot service. As that new pricing model goes into effect today, many GitHub Copilot users are reporting some extreme sticker shock as they realize just how quickly their previous "normal" usage is burning through their newly limited monthly allotment of AI credits.

Across social media and forums, many Copilot users are sharing personal statistics showing how just a few hours of AI usage can now account for a large chunk of their new monthly subscription caps. For some users, it reportedly took less than a day to use up a month's usage quota.

That's a big change from previous months, when GitHub Copilot subscribers were allocated a certain number of "requests" and "premium requests" based on their payment tier. GitHub said that the old system meant that "a quick chat question and a multi-hour autonomous coding session [could] cost the user the same amount," forcing Copilot itself to "absorb much of the escalating inference cost behind that usage." Indeed, some Copilot users have been sharing estimates from GitHub's own tool showing that their previous monthly usage would rack up bills in the thousands of dollars under the new pricing plan.

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