Same setup here, minus Nvidia. Love KDE with Wayland. Super stable. Tried Gnome, but switched back. Gnome felt like it was 20 years ago in terms of functions tho UX was still posh.
> Looking at the big picture, the researchers think the whale’s heart is performing near its limits. This may help explain why no animal has ever been larger than a blue whale – because the energy needs of a larger body would outpace what the heart can sustain.
I do wonder if those animals have things like valves in their veins, as I understand it if the circulatory system wasn't as complex as it is, heart would have to pump a lot harder to move the volume it does. This isn't an area I know much of anything about, I just know veins have valves and can expand and contract to different stimuli much as a heart can... so even though mammals have one heart it's not like the rest of the system is a static not helping to pump blood.
I had a stroke of luck this week - I am due a new laptop at work, and ordered a new ThinkPad T14, as they have served me well in the past.
Then IT calls back and says that I shouldn't configure one directly at Lenovo's website, as we are to buy them from a retailer instead.
OK, can do - but they only stock a few models, and the one with the CPU and disk I had configured with Lenovo was only available with 64GB RAM at the retailer. What to do?
'Ouch, that's gonna make accounting hurt. We'll order it for you right away.'
> Senior judges at the Supreme Court in Delhi have threatened consequences over the use of AI
Setting AI aside for a moment, this reflects a broader issue in India and elsewhere. When institutions respond to new technologies with anger or threats rather than systemic thinking, it signals a deeper problem.
The real challenge is not AI itself, but how complex systems adapt to change. Instead of reacting defensively, institutions should anticipate second-order effects, build regulatory capacity, and treat this as a governance and systems problem.
Mature institutions approach disruption with foresight, incentives, and feedback loops, not emotions. Without that shift, they risk reinforcing outdated hierarchies rather than serving the public effectively.
> Setting AI aside for a moment, this reflects a broader issue in India and elsewhere. When institutions respond to new technologies with anger or threats rather than systemic thinking, it signals a deeper problem.
No, especially in this case when the first appeal to the high court resulted in the high court brushing it off as if nothing happened.
It was a reprimand two to institutes (the trial court and the high court) they have a job to do and they can't shirk that responsibility.
No, you are reading it wrong; The Indian Supreme Court is doing the right thing.
The lower courts in India are all overloaded with pending cases (i.e. not enough judges) and so the incentives for both judges and lawyers to "outsource" to AI is very high. This needs to be done with caution and that is what the supreme court said, viz;
The Supreme Court called the case a matter of "institutional concern" and said fake AI-generated judgements had "a direct bearing on integrity of adjudicatory process".
...
The defendants challenged the order in the state's high court, pointing out that the cited orders were fake. The high court acknowledged this, but accepted that the junior civil judge had made the error in "good faith" and went on to agree with the trial court's decision anyway.
In its order, the high court said that "the citations may be non-existent, but if the learned trial court has considered the correct principles of law and its application to the facts of the case is also correct, mere mentioning of incorrect or non-existent rulings/citations in the order cannot be a ground to set aside the order".
The high court had also sought a report from the junior judge who had used the AI-generated rulings. She told the court that this was her first time using an AI tool and she had believed the citations to be "genuine". She had no intention to misquote or misrepresent the rulings and that "the mistake occurred solely due to the reliance on an automatic source", the high court wrote.
The high court also advocated for the "exercise of actual intelligence over artificial intelligence".
Following this, the defendants appealed again, taking the matter to the Supreme Court, which was less forgiving about the impact of AI.
Coming down sternly against the fake judgements, the top court last Friday stayed the lower court's order on the property dispute. It said the use of AI while making judgements was not simply "an error in decision making" but an act of "misconduct".
"This case assumes considerable institutional concern, not because of the decision that was taken on the merits of the case, but about the process of adjudication and determination," the top court said.
PS: To get an idea of how overloaded the Indian Judicial System is; this happened in a recent case in Allahabad High Court - The order then took an unusual turn. “Since I am feeling hungry, tired and physically incapacitated to dictate the judgment, the judgment is reserved,” the judge recorded. - He had been hearing more than 30 cases on that day - https://www.hindustantimes.com/india-news/hungry-tired-allah...
This means India's judiciary is operationally stunted because of low capacity relative to demand, which is a ridiculously urgent and critical flaw that should have simply not occurred in the first place. Why on earth are they not increasing capacity and headcount?
Many reasons, viz; Slow Recruitments/Appointments, Executive/Judiciary tussle, Insufficient infrastructure, Budget Constraints etc.
The process to qualify as a Judge is long drawn and difficult while one can easily become a Lawyer and make more money for a fraction of the effort. Apparently there are only 22 judges per million people! - https://www.ndtv.com/india-news/indian-judicial-system-strug...
This is why AI adoption is very important for the Indian Judiciary. There are a number of good startups in this area which will hopefully alleviate this problem in the near future, eg; Adalat AI - https://www.adalat.ai/
PS: Have first-hand knowledge of the above since i have a ongoing civil case in the lower courts. I attend all court dates just to make sure my lawyer does his job and always check the status of my case online. The judge has only a few minutes for cases in the initial stage (the lawyers almost always seek and are granted an adjournment of a month) and only spends time on cases in the later evidence/cross-examination stages. He dictates/writes his notes to a person who types it into a computer which is then uploaded to the official website at end-of-the-day.
1. Thamarai Thandu Poriyal / Varuval (Stir-fried Lotus Stem): A popular dish where the lotus stem is peeled, sliced into coins, and stir-fried with coconut oil, mustard seeds, shallots, green chilies, curry leaves, and sometimes sambar powder or chili flakes.
2. Thamarai Thandu Uppukari (Lotus Stem Dry Curry): A preparation where the lotus stem is boiled with salt, then deep-fried or stir-fried until light golden brown to create a crispy side dish, often served with rasam rice.
3. Thamarai Kizhangu Vathal (Dried Lotus Root Crisps): A traditional, shelf-stable snack where the lotus stem is sliced, salted, and dried, then fried before consumption.
4. Lotus Petal Paruppu Usili (Steamed Lentil Crumble): A dish made by finely chopping tender inner lotus petals and mixing them with coarsely ground, steamed, and crumbled lentils (dal), similar to traditional Tamil Paruppu Usili.
5. Thamara Vadai (Lotus Stem Fritters): A traditional snack in South India that uses sliced lotus stem in a seasoned batter, similar to a vadai.
