I thought we already established the fact that your motherboard does not have an M.2 slot.
You provided a search that suggested otherwise, and I was curious if the reason you came across incorrect information was due to the AI summary provided by google since the actual links to the ASUS website were pretty clear on what this board can do. I wasn't trying to start a debate about AI, rather I was trying to help sift through good vs bad information. As for your build - 18GB DDR3 is fine for a modest gaming rig. Whether or not you need more depends on the type of games they plan on playing. Since you are building around the Rampage Gene II you will see IO bottleneck issues due to limitations of the board. Open World games will struggle and adding more RAM won't fix that. For a gaming PC like this expectations are important. If your friend's son plays a lot of online multiplayer games and MMO type games then it will work reasonably well. But I think calling this machine a "beast" might be overstating it's capabilities since I doubt it will run crysis.. For reference, here's a quick overview of the minimum RAM requirements for a handful of games that came out in the last few years: Doom Eternal (2020): 8GB Elden Ring (2022): 12GB Hogwarts Legacy (2023): 16GB Palworld (2024): 16GB (32 recommended) Warhammer Space Marine 2 (2024): 8GB (16 recommended) Again, expectations. Also factor into consideration that modern browsers can chew up several GB along with any apps he uses to interact with friends will playing. Discord is a popular app in the gaming world and is currently occupying nearly half a gigabyte of my RAM and I'm not even in a voice channel with anyone. -Ben On Wednesday, November 27th, 2024 at 12:08 PM, mo <[email protected]> wrote: > Guys wth does this have to with finding the slot on my mb? Start your > thread vs butchering/kidnapping mine asking for serious help vs random > irrelevant opinions? > > On Wed, Nov 27, 2024, 09:42 Russell Senior [email protected] > > wrote: > > > https://youtu.be/tTMpKrKkYXo?si=P6PXk5doOeLL4rP7 > > > > On Wed, Nov 27, 2024, 09:32 Russell Senior [email protected] > > wrote: > > > > > I'm familiar with the idea. I have a book by a guy at Stanford named John > > > Koza. He used lisp s-expressions as a convenient manifestation. Somehow I > > > once got a VHS tape in the mail of him giving a demonstration of how it > > > could find algorithms that has been granted patents. > > > > > > On Wed, Nov 27, 2024, 08:38 Rich Shepard [email protected] > > > wrote: > > > > > > > On Wed, 27 Nov 2024, Russell Senior wrote: > > > > > > > > > I think you meant "genetic algorithms", or "genetic programming", > > > > > which are related. "Genetic engineering" is more gene splicing, > > > > > probably not what you meant. > > > > > > > > Russell, > > > > > > > > Of course. I meant genetic algorithms. It can be used for finding the > > > > optimal solution to difficult problems. For example, > > > > https://www.baeldung.com/cs/genetic-algorithms-applications, "Genetic > > > > algorithms are heuristic algorithms inspired by the natural process of > > > > evolution. This theory of evolution was first proposed by Charles Darwin > > > > in > > > > the mid 19th century. Evolution describes the change in the biological > > > > characteristics of species over a generation through natural selection. > > > > > > > > "Consequently, genetic algorithms are based on natural selection. Where > > > > only > > > > the fittest individuals in a population are selected to reproduce and > > > > generate offspring." > > > > > > > > Earl Cox's books are a good resource. > > > > > > > > Thanks, > > > > > > > > Rich
