
And beyond the aggressive pricing, the one major benefit over other miniPC makers is the extensive support.
I have a Minisforum mini PC. Took Minisforum over a year to release BIOS updates that were finished in March 2024… and against all CS promises it still hasn’t fixed the initial discrepancies (advertised as the only 8945HS mini PC that can go over 57W due to their improved cooling, and the only Ryzen 8000 series APU that can handle RAM at 5400-5600MT/s - still can’t get power over 57W and even though I have compatible RAM, it refuses to clock over 4800MHz, and there’s no option to configure it either).
Meanwhile Valve is still dropping improvements on the Steam Deck, 3.5 years after release.

Based on the specs it is a bit bumped up Ryzen 7000/8000 series (Zen 4 arch), with a beefed up GPU (sounds to be about two 780Ms soldered together with a bit of overclocking).
I wouldn’t be surprised if MS wanted a mid-generation upgrade to the Xbox but the current economic situation put a damper on it before the hardware could fully materialise and AMD ended up with a practically ready for production APU they couldn’t sell to anyone before Valve strolled up.

I have worked on games, and have a good understanding of the workflows involved.
You’ll obviously still need to do the creative parts manually (and should!) but the majority of the work involving the engine core build and the specific game coding, that can all be sped up borderline exponentially.
But I’m glad that someone with absolutely no understanding of the topic does their best to call out those who do show some experience on the topic just because they don’t get a neatly pre-chewed and pre-digested reply detailing all the information they lack and are unwilling to look it up themselves. As a next step would you like me to cut your steak up and feed it to you byte by byte, or tuck you in at night?

By improving the cadence of projects.
A project costs X amount because of the standard template of pay per time unit Y multiplied by timeframe in time unit Z.
Simply said if you have 100 people working on the project, that costs 100Y per hour. If the project takes 6 months (approx. 960 hours), you multiply the two and get that your costs are 96000Y.
Now the two ways to reduce this is to either reduce the number of employees, with AI you can get rid of maybe 2/3, reducing the expenses to 32000Y…
Or since AI speeds up almost every workflow by about 8 to 10 times, you can keep all the people, but cut down project time from 6 months to about 2 months, which doesn’t just reduce the expenses by the same 2/3 but also increases potential profits for the same 6 month period by 200%, as instead of one product you’re releasing three.
Cutting jobs ain’t the only way to reduce costs with AI.

Which is a different article about a (somewhat) unrelated topic.
Using AI for development is already out there, and you can’t put that genie back in the bottle. As an engineer I’m already using it in my daily work for tons of things - I’ve built separate agents to do a number of things:
guess what, AI didn’t replace me, it just allowed me to focus on actually thinking up solutions instead of doing hours of boilerplate stuff.
AI isn’t the enemy in software development. Companies who think they can replace engineers with AI. Middle managers will sooner be on that date, as they were mostly useless anyway.

That’s… not what this is about?
The point of integrating AI into games is to provide further diversity within the game.
Think Skyrim. By default you’re limited to 3-4 discussion options, right? Imagine now, if you will, that you could just… type in anything, including emotional markers, and have the characters respond interactively to the statement and tone. No longer are you bound by limited dialogue in RPGs.
visual generative AI will just spice up the visuals - hopefully. Things like repetitive textures and such will disappear as the game generates brand new textures for each grid element. Or create tons of background characters without the need to specify them. The list goes on.
And more and more engineers use genAI to generate code. Hell, even I do, because it’s superb at getting the boilerplate ready from standard definitions, allowing me to focus on the important bits.
LLMs are also pretty great at extrapolating a good working document from basic requirements.
They’re really just a quite knowledgeable but inexperienced intern, and any software engineer that refuses to utilise them to some extent will be left behind - just like those who refused to move to IDEs with syntax highlighting, autocomplete and other helper tools.