

For all their faults, IBM has treated Red Hat and Hashicorp better than Broadcom has treated VMware.


For all their faults, IBM has treated Red Hat and Hashicorp better than Broadcom has treated VMware.


“On-prem” is the Enterprise IT antonym of “cloud”, as in public cloud, aka hyperscalers (AWS, Azure, GCP, OCI).


Meta is building/operating the $3.3Billion Los Lunas Data Center in New Mexico.
That can change the situation on collection when the state has control where your billion dollar asset resides.


You have to go out of your way to set up publicly exposed storage like this!
Admin: “AI Agent, set up a storage bucket that is accessible by everyone on this list.”
AI Agent: “All done boss! Every one of those users can access this newly created bucket!”


and secure full pardons for himself ans his family members from Vance.
Vance is a disgusting human being, but he’s smarter than trump. Vance understands that pardoning trump would guarantee Vance would never be elected President on his own. Vance only has to look at Gerald Ford to see how that plays out.
Nixon resigned to avoid impeachment. Vice President Gerald Ford is sworn in, and immediately pardons Nixon. Ford serve 895 days in office (the remainder of Nixon’s term) and is booted out of the White House and never hold an elected office ever again.


CoreWeave was founded as a cryptocurrency miner.
This explains so much.


This is where it becomes subjective. For some,Meta being “punished adequately” would mean the complete liquidation of the company and charges for executives in front of the International Criminal Court in the Hague for crimes against humanity.
A $25 billion award would be 41% of Meta’s annual profit. That is substantial!


Even that would be clickbait though, because $219.5 billion isn’t the “original fine”, its the jury guidance. Its part of the sausage making of the justice system. The jury has a range of the fine per incident they can choose from to suggest a judgment. The judge then uses that jury guidance with additional info to determine the actual judgement. In this case $25 billion is the “original fine”.


Meh, I like the $25 billion headline because its the realistic result of the trial. Citing the $219.5 billion number in the headline would be clickbait because, while true with specific verbiage, it doesn’t actually have any impact or expectation of that award actually occurring.


Although the jury concluded that Meta had over 43 million violations of the state’s unfair practices act, with each transgression carrying a civil penalty as high as $5,000, a New Mexico judge was responsible for determining the ultimate fine. The Wednesday filing showed that the state was awarded $219.5 billion, but the penalty was ultimately reduced to $25 billion.
So the $25 billion judgment is a judicial reduction from the jury award of $219.5 billion.
I also like this decision from the judge:
The judge added that interest on the penalty shall accrue at the rate of 15% each year until the fine is paid off in full.
Meta will likely appeal, but not only does that not guarantee a reduction in the judgment, if they drag this out for years, New Mexico gets paid out even more.


I think I mean they have the largest percentage of their cars that are connected to the same homebase… Like…all of them.
Tesla may have the largest percentage of their own cars connected, but they don’t have the most number of connected cars. That would likely be GM with their 30 year old Onstar service.
Tesla has only sold 8.9 million vehicles over the whole life of the company, while GM has over 12 million Onstar connected cars sold.


and then I have electric radiators to make only the areas I am using comfortable.
While electric radiators are 100% electricity efficient (meaning 100% of the electrical energy turns into heat), they are very far away from an economical way to create heat. I understand the cost of a central heat pump can be expensive. If you’ve already modeled your heat use around specific smaller spaces to heat to comfort level, you may benefit from a small window mounted heat pump that costs $340.. The one I linked here shows a power consumption of 800 Watts (on a better site). If you’re in the USA, your electric resistive heaters are likely drawing 1500w.
Here’s how that would translate to energy consumption costs (assumptions: you pay 25 cents per KWh of electricity):
So this unit would cost just about half the electricity to run, and produce 36% more heat! Obviously neither heater would be running full blast for 24 hours, and the heating efficiency will vary depending on how cold it gets outside, but the savings would likely still be substantial. You might even be able to run the window heat pumps longer and use less natural gas. More expensive than a window unit, but still far cheaper than a central heat pump would be a mini-split. These are usually even slightly more efficient and far cheaper than central heat pumps.
Considering you’ve already got a PV solar setup, your solar power would go significantly farther in reducing your monthly energy bills.


My solar PV system was one the reasons I went ahead and ripped out the gas furnace and put in a cold climate heat pump. No amount of solar generation lowered the gas bill, but with the heat pump that is yet another bill that is paid for largely by the panels on the roof. The continued rising costs of gas was another incentive to remove the low efficiency contractor grade gas furnace. In the USA we were also able to take advantage of the tax credit to pay for part of the heat pump installation before trump did away with the credit.
Can I ask what fuel you’re using to heat your house now? Also do you have AC for cooling in your house already?


I’ve been using Asahi Linux on a Macbook M2 for about a year now and generally like the experience. There’s a few things I’m hoping for future improvements, but its definitively “good enough” for my needs now to use daily.
I used it for a few years and just stopped because of the partitioning and update issues.
What issues did you run into?


Sounds like Elgin go their cameras taken down so that college’s problem is solved. If the cameras were still up I can think if a few things the college could do. The college has a welding instruction department. I can think of no better coursework than constructing steel welded boxes the wrap around cameras. That would have prevented the flock workers from taking the bags off.
Alternatively, the school could have erected signage directly in front of the cameras obscuring the view, and if the flock workers moved the signs they could criminally charge them vandalism and sue the Flock for paying for it to happen.
I was given oxygen during the procedure as well as in recovery, but to your other point they could have given me something else too when I was under.
That doesn’t match my personal experience with propofol. The “going out” was pretty quick or the memory of it cut short, but the “coming back” was not quick at all.
When I woke up in the recovery room I had awareness first, but couldn’t control my body at all, not even able to open my eyes, but I could hear things in the room. Then I remember having coherent thoughts, but everything was in slow motion like my cognition was swimming in molasses. As I tried to see what I had motor control off, learned later I was verbalizing all of these thoughts and was semi audible as I tried to talk. It took probably 15 minutes before I had motor control and could speak clearly enough to be understood. It wasn’t a horrible or fearful experience, but wouldn’t call it pleasant either.
No shame in getting your freak on in telnet chat rooms or NNTP newsgroups.
I think mine are the best there is.
Likelihood of teenager.
I do have a problem with objective judgment though
Evidence of self-awareness, personal reflection, and confidence enough to admit personal shortcomings: Definitely not a teenager.
If you plugged this question into an LLM here’s how it would be broken into input tokens:
BOS (Beginning of Sequence) | Tf | is | a | token | ? | EOS (End of Sequence)
So this sentence would be 7 input tokens into an LLM. The sentence before this one, which is my response, would be 15 output tokens. The big LLM providers charge you per token used (usually the 1000 tokens used). Some LLM providers charge one price for input tokens and another for output tokens.
Here’s how that translates to actual dollars to you. Here’s an price list from Oracle Cloud, a large company providing LLM service. Lets take the Google Gemini 2.5 Pro LLM model hosted at Oracle Cloud:
Oracle Cloud Infrastructure Generative AI - Google - Gemini 2.5 Pro - Input Tokens - Text, Image, Audio, and Video less than 200K input tokens = $1.25/1,000,000 tokens
Oracle Cloud Infrastructure Generative AI - Google - Gemini 2.5 Pro - Output Tokens - Text Output less than 200K input tokens = $10/1,000,000 tokens
So your input question would have cost you $0.0000175 and my single sentence response to you would have cost you $0.00015.
Some LLMs (like those discussed in the article) separate each letter as a separate token for processing as input. In that case your same question in one of those LLMs would be 13 tokens instead of 7.