Had a wonderful dinner with mum and I updated her computers – she has a Chromebook and a Windows 11 PC (Beelink SER9 Pro AMD Ryzen™ AI 9 HX 370) with both of them working really reliably. It’ll be interesting to see how things improve with the Windows 11 K2 project because there are a few people I follow on YouTube who give an overview of changes when Microsoft release insider previews of the next release of Windows.
It reminds me of an article I saw on Reddit entitled “Former Microsoft VP says Microsoft missed the AI wave like the internet and mobile, as Copilot scales back in Windows 11” (link). In response to the article I have to vent the following, how can you ‘miss the wave’ for a feature that most people don’t give a flying continental about. What is it with technology people from silicon valley who are addicted to the smell of each others farts to the point that they’re that out of touch regarding what normal people use technology for. The biggest winner out of all this has been Apple who decided that digging a big hole in the ground, filling it up with hundreds of billions of dollars, dousing it in petrol then setting a lighter to it was maybe a bad idea. The second winner in all this was Google who did the initial research into generative pre-trained transformers but decided to let someone else burn billions before seeing whether it was worth turning from something that is theoretical into something useful.
All Microsoft ended up doing with their fixation over AI was to set billions alight, two major companies who are producing no profit and no change of it happening in the foreseeable future that are dependent on the circle financing. All this idiocy because Microsoft missed the first few waves and now they’re convinced that this was the wave they had to jump onboard or otherwise they would find themselves behind the 8th ball. The reality is that LLMs have a usefulness but it won’t get us to AGI and what use LLMs have will be where the human is still having the final say – it won’t make workers obsolete but it may make them more productive. The big question should be whether it makes sense spending billions building data centres where there is plenty of work being done to shrink the models down to the point that locally run models are good enough for what most people need them for without having to build a monstrous data centre to get fairly mediocre results given how much resources are being expended when processing requests.
On a good side the new cushions arrived and I’ve moved the extra cushions on the spare bed in the office:

On Tuesday I’ll be heading down the road to pick up some slippers because at the moment I am wearing socks around the house but the problem is that it wears out the socks where as I’d sooner have a pair of slippers that can keep my feet warm when working from home or just relaxing on the sofa watching television. While I’m down there I’ll have a look at some music, grab a coffee and then walk back home – getting in some exercise during the day.






