It was some on board gpu with my super amazing AMD K6-2, it couldn’t even run mega man X without chugging. Then a friend gave me an S3 Virge with a glorious 4mb vram.

I’m sure there is a simple answer and I’m an idiot, but given it’s in a place that gets lots of sun, can they not just install solar panels with batteries at consumer/grid level?

Or is the problem not with the generation of the power and with transmitting it to properties? I don’t know cost of solar installation but I’m sure the amount it’s costing them when it all fails they could at least incentives individuals to install solar or something.

One point that stands out to me is that when you ask it for code it will give you an isolated block of code to do what you want.

In most real world use cases though you are plugging code into larger code bases with design patterns and paradigms throughout that need to be followed.

An experienced dev can take an isolated code block that does X and refactor it into something that fits in with the current code base etc, we already do this daily with Stackoverflow.

An inexperienced dev will just take the code block and try to ram it into the existing code in the easiest way possible without thinking about if the code could use existing dependencies, if its testable etc.

So anyway I don’t see a problem with the tool, it’s just like using Stackoverflow, but as we have seen businesses and inexperienced devs seem to think it’s more than this and can do their job for them.

Are you talking specifically about LLMs or Neural Network style AI in general? Super computers have been doing this sort of stuff for decades without much problem, and tbh the main issue is on training for LLMs inference is pretty computationally cheap

I disagree, there are loads of white papers detailing applications of AI in various industries, here’s an example, cba googling more links for you.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577280/

I don’t mean it’s like the dotcom bubble in terms of context, I mean in terms of feel. Dotcom had loads of investors scrambling to “get in on it” many not really understanding why or what it was worth but just wanted quick wins.

This has same feel, a bit like crypto as you say but I would say crypto is very niche in real world applications at the moment whereas AI does have real world usages.

They are not the ones we are being fed in the mainstream like it replacing coders or artists, it can help in those areas but it’s just them trying to keep the hype going. Realistically it can be used very well for some medical research and diagnosis scenarios, as it can correlate patterns very easily showing likelyhood of genetic issues.

The game and media industry are very much trialling for voice and image synthesis for improving environmental design (texture synthesis) and providing dynamic voice synthesis based off actors likenesses. We have had peoples likenesses in movies for decades via cgi but it’s only really now we can do the same but for voices and this isn’t getting into logistics and/or financial where it is also seeing a lot of application.

Its not going to do much for the end consumer outside of the guff you currently use siri or alexa for etc, but inside the industries AI is very useful.

A lot of the AI boom is like the DotCom boom of the Web era. The bubble burst and a lot of companies lost money but the technology is still very much important and relevant to us all.

AI feels a lot like that, it’s here to stay, maybe not in th ways investors are touting, but for voice, image, video synthesis/processing it’s an amazing tool. It also has lots of applications in biotech, targetting systems, logistics etc.

So I can see the bubble bursting and a lot of money being lost, but that is the point when actually useful applications of the technology will start becoming mainstream.

I love SteamOS for gaming and I think going forward that may get more and more adoption, but a lot of day to day apps or dev tools I use either don’t have Linux releases (and can’t be run via wine/Proton). I would love to jump over on host rather than dabbling with it via vms/steamdeck but it’s just not productive enough.

One especially painful thing is when certain libs I’m developing with need different versions of glibc or gtk to the ones installed by default on OS, and then I die inside.

I just wish we could have less ways to do things in Linux.

I get that’s one of the main benefits of the eco system, but it adds too much of a burden on developers and users. A developer can release something for Windows easily, same for Mac, but for Linux is it a flatpak, a deb, snap etc?

Also given how many shells and pluggable infrastructure there is it’s not like troubleshooting on windows or mac, where you can Google something and others will have exact same problem. On Linux some may have same problem but most of the time it’s a slight variation and there are less users in the pool to begin with.

So a lot of stuff is stacked against you, I would love for it to become more mainstream but to do so I feel it needs to be a bit more like android where we just have a singular way to build/install packages, try and get more people onto a common shell/infrastructure so there are more people in same setup to help each other. Even if it’s not technically the best possible setup, if its consistent and easy to build for its going to speed up adoption.

I don’t think it’s realistically possible but it would greatly help adoption from consumers and developers imo.

Most companies can’t even give decent requirements for humans to understand and implement. An AI will just write any old stuff it thinks they want and they won’t have any way to really know if it’s right etc.

They would have more luck trying to create an AI that takes whimsical ideas and turns them into quantified requirements with acceptance criteria. Once they can do that they may stand a chance of replacing developers, but it’s gonna take far more than the simpleton code generators they have at the moment which at best are like bad SO answers you copy and paste then refactor.

This isn’t even factoring in automation testers who are programmers, build engineers, devops etc. Can’t wait for companies to cry even more about cloud costs when some AI is just lobbing everything into lambdas 😂

AI has some useful applications, just most of them are a bit niche and/or have ethical issues so while it’s worth having the tools and functionality to do things, no one can do much with them.

Like for example we pretty much have AIs that could generate really good audio books using your favourite actors voi e likeness, but it’s a legal nightmare, and audio books are a niche already.

In game development being able to use AI for texture generation, rigging, animations are pretty good and can save lots of time, but it comes at the cost of jobs.

Some useful applications for end users are things like noise removal and dynamic audio enhancement AIs which can make your mic not sound like you are talking from a tunnel under a motorway when in meetings, or being able to do basic voice activation of certain tools, even spam filtering.

The whole using AI to sidestep being creative or trying to pretend to collate knowledge in any meaningful way is a bit out of grasp at the moment. Don’t get me wrong it has a good go at it, but it’s not actually intelligent it’s just throwing out lots of nonsense hoping for the best.

Considering it’s technical limitations the game boy had some amazing games. Gargoyles Quest games were amazing

R Type was such a good game

I think it was some asteroid style game in arcade, but first really memorable game was Dizzy 1 on C64. Was a wild time when a couple of quid could get you a magazine, some sweets and a cassette full of indie games and demos.

As a steam user I would love to see that but unsure how they could do it without the keyboard vendors agreeing to a standard, or having some bespoke drivers/hardware stuff like they do for ps4/switch controllers etc.

Also I imagine steam input would just map let’s say wsad to gamepad left axis, but some games will lose their mind if you try to use gamepad for movement but mouse/keyboard for other keys.

I appreciate there is limited benefit outside of gaming, maybe for media players to ffwd/rewind based off input amount etc.

This is a pretty complex topic, as a quick knee jerk I agree AI art isn’t art in the common sense, but one thing I disagree with is that all art has intent or even needs it.

I don’t think AI art is going to or even tries to replace art as a creative pursuit. If anything it’s more likely to replace certain photography related jobs.

Currently the main use cases are

• Generating stock photos
• Generating texture maps
• Generating concept art

None of these things really care about intent, you could argue concept art does, but a lot of the time it’s just there to set a vibe/direction/theme. All of the above will still replace jobs but not the typical everyday artists jobs, maybe stock or texture photographers though.

I’m not against early access as a whole, if devs want to get player feedback earlier on in the life cycle and players are happy to be pseudo testers then it’s fine.

I get some people would rather wait and buy when it’s finished, and some studiosd/devs would rather bypass EA and just release the game outright, but I feel both paradigms can exist as long as both parties (devs/consumers) continue to benefit.

I think part of the problem is down to how a lot of games come out as “Early Access” which implies it’s more bare bones and will get fleshed out over time.

If a game releases as EA then the expectation is you will get more content until release, if a game just comes out without EA then it’s assumed it has all content and anything new is dlc/mtx/expansions.

I’m not gonna bother addressing Live Service games, wish they would go in the bin with most other MTX.

This tool is great for people who play fullscreen games, but if you play windowed it currently won’t work properly for you (even in windowed mode).

I got it to try and bump my 1440p@60fps to 1440p@120fps without making the GPU want to take off via the frame generation, and unfortunately while it does have a windowed mode that either draws over your window (it’s wonky and slow) or a mode where it just does fullscreen but with black space to pad to your window size, which looks silly.

I like what it does but I have other stuff I want to see on my screen while playing so want to keep my games windowed.

I would also say if you are playing a game that supports dlss/FSR with frame generation, just use that instead as it will use frame buffer data to drive the upscaling/frame generation, which is pretty efficient and the data is already on the gpu. Lossless scaling is basically taking REALLY FAST screenshots of your game and upscaling/frame gen then drawing it over your screen quickly.

There is too much to respond to all, will be interesting to see how the wolfire case continues then.

I just wanted to chime in on the last bit.

So as you say steam wins on features, and Epic and MS have both chosen not to compete on features. It’s not that they can’t, they both have the means and money to do so, they just don’t want to invest the money on the infrastructure incase it’s a big flop I guess.

Either way you are making out like the only valid perspective here is focusing on the game price, but as I said to me the feature set is VERY important. Literally the only reason I use steam over other platforms is the features, being able to use any controller and remap it to however I want. Knowing my saves can be transfered to any computer, streaming to the TV so the kids can play games on it etc.

I appreciate not everyone else uses these features, but some of us do, and this is why steam is the better platform. If MS let me stream games to my TV and use controllers properly etc I would happily get game pass, but their platform is rubbish, same for EGS.

This whole thing is just crap platforms complaining they can’t compete when they havent even tried, they just want the free publicity in the hope they can get more users “in the door”.