Dr4kn
Even with normal Gas prices EVs are cheaper
If you can get paid on your waste heat why wouldn't you like that?
If it's an option I would always go with an SSD for HA. It makes a big difference in usability. Writing often and a lot to SD cards, like HA does, kills them way too fast
If you drive by a small market you often won't park your car to go there. Cars and trucks destroy streets fast. Having less of them keeps repairs less frequent. Infrastructure for walking and biking can exist for multiple decades or even millennia
Bitwardens free tier is also generous enough that a lot of people won't have to pay
Plugging in your EV might charge to 40% immediately. When it charges to 80% doesn't matter if it has that charge in the morning. So it probably charges somewhere in the night.
Starting your dishwasher, washing machine dryer on a timer before you go to work, so it runs when energy is cheaper.
This doesn't eliminate the need for storage, but reduces its need.
Only giving access to your material over downloads means that people have to pay if they want to get more of it. If those people don't share it then the material is going to be lost again.
Torrenting all the material slapping using their frontend as a base and just making money is different.
The EU is already home to many OS contributors and companies. I like the Red Hat approach where you are profitable, but with open source solutions. It's great for governments because you get support, but it's much easier to compete, which reduces prices.
Smaller companies also give more of their money to open source. Bigger companies can always fork it and develop it internally and can therefore pressure devs to do work for less. Smaller companies have to rely on the projects to keep going and doing it all in house would be way too expensive for most.
There are tasks that benefit from speed, but the most important thing is good idle performance. I don't want the noise, heat or electricity costs.
I'm reluctant to put a dedicated GPU into mine, because it would almost double the idle power consumption for something I would rarely use.
I don't know why buffet sold a lot of shares over the last few years to sit on a huge pile of cash, but I could guess.
The Job market looks like shit, people have no money to buy stuff and credit card debt is skyrocketing. When people can't buy stuff it is bad for the economy. Even if AI is revolutionary then we would need people spending money to keep the economy going, and with more AI taking jobs that wouldn't happen.
If AI doesn't work out the market is going to crash and the only companies keeping the market growing are going to wipe out all that growth.
No matter how I look at it I don't see a thriving market.
Buying half of Intel isn't going to change anything
For every other way of producing energy you need separate land for PV you don't. You can put them on rooftops, over parking lots or even vertical in a field. The last one increases the crop yield. Crops get less harsh sun, lose less water and the evaporation cools down the panels, which increases their production.
Today we value costs of energy production and tomorrow we will to. Especially if it results in energy independence. You don't need to buy fuel for PV and wind. As with nuclear fuel only a few countries are probably going to manufacturing the fuel needed for fusion reactors. Producing enough of it and in a sufficient purity needs specialized facilities and they will only be profitable if they produce a lot of it.
If the stuff you access often can be cashed to SSDs you rarely access it. Depending on your file system and operating system only drives that are in use can be spun up. If you have multiple drive arrays with media some of it won't be accessed as often.
In an enterprise setting it generally doesn't make sense. For a home environment disks you generally don't access the data that often. Automatic downloads and seeding change that.
They must have acquired fantastic data for their Models. Especially because of the business language and professional translations which they focus on.
They keep your intended message in tact and just refine it. Like a book post editing. Grammarly and other tools force you to sound like they think is best.
DeepL shows, in my opinion, how much more useful a model trained for specific uses is.
With the Nvidia solution you have at least another option. Vendor agnostic, but Nvidia lock in.
If most ML startups, one hyper scaler and at best also AMD, would go with one common backend, then it might get enough traction to become *the* standard.
You have a wake word, but it can also speak to you based on automations. You come home and it could tell you that the milk is empty, but with a holiday coming up you probably should go shopping.