We have successfully paid the first installment of @Nourfuturedr tuition fees for the Faculty of Medicine. She is now a student studying this specialization, but the other part of the first installment still needs to be paid before the end of this month. The last donation was 3 days ago
My sister Noor is still in #gaza she struggled for 2 years to achieve a GPA that would enable her to study what she aspires to.
Totally agree, Apple has really lost its way with its UX.
I found the Liquid Glass Tinted (versus Clear) option, and also turned on two Accessibility options: Reduce Transparency and Increase Contrast. All three changes helped.
@piero @joel but the culture that allowed it may not be so easy to get rid of. It’s not “just” design.
The iPad-isation of macOS lead to a definite decline in usability failures.
Pursuit of thinnest PC meant removing most of the useful ports including Kensington locks. Long delayed updates to key models used by developers lead to many switching to Linux.
Don’t getting me wrong, I still think iOS leads accessibility features in general.
A federal judge has issued an order forbidding immigration officials from re-detaining Kilmar Abrego Garcia, a Maryland father who was illegally deported to a super-prison in El Salvador earlier this year. Abrego Garcia, a Salvadoran immigrant and U.S. legal resident, was deported in March, when the Trump administration wrongly alleged, without evidence, that he was associated with the MS-13 gang. When it became clear that Abrego Garcia’s deportation was improper, the administration doubled down, with President Donald Trump going so far as to share a blatantly photoshopped image of “MS-13” tattooed on Abrego Garcia’s hands.
"After the rain stops in Gaza, a new crisis begins that is no less harsh; as the ground turns into thick mud and pools of stagnant water form around the tents and inside them, exposing families to increasing health risks. This reality exacerbates the spread of diseases, floods the tents and possessions, and makes the daily life of the displaced more difficult in the absence of urgent solutions."
That's not a fallacy. REDUCE, reuse, recycle. We shouldn't be looking for new ways to consume more energy or celebrating massive infrastructure projects to power chat bots. The project is cool though
Yes, it is a fallacy because the problem is with the economy system as opposed to a specific technology. The liberal tendency often defaults to a form of procedural opposition such as voting against, boycotting, or attempting to regulate a problem out of existence without seizing the means to effect meaningful change. It's an idealist mindset that mistakes symbolic resistance for tangible action. Capitalism is a a system based around consumption, and it will continue to use up resources at an accelerating rate regardless of what specific technology is driving the consumption.
well it's actually China that is using by far the most fossil fuels in the world. US has the largest AI build-out, China is second place. And don't insult the Chinese by calling them capitalist please.
That's just saying that China is one of the most populous countries in the world that also happens to be a global manufacturing hub. China still uses fossil fuels, but I think it's fair to call it an electrostate at this point.
That's just saying that China is one of the most populous countries in the world that also happens to be a global manufacturing hub. China still uses fossil fuels, but I think it's fair to call it an electrostate at this point.
It's worth noting that China's electricity is 29% of their energy consumption and that renewables make 33% of that. And so overall, China is about 9 to 10% renewables. Which is a higher percentage than most of the world, but still after fossil fuels that's a 10x decline in energy consumption. Whereas most of the world is closer to 20x decline.
First of all, carbon footprint in China is already far lower than in any developed country. Second, as I already pointed out, most countries simply outsourced their production to China.
Carbon footprint is just like a globalist metric that has no bearing on the survivability of the majority of people over the next 10 to 15 years. The main metric that actually matters is land distribution. And how what percentage of the population has access to agricultural land where they can grow enough food to sustain themselves and their families. In China that number is 55%, which is very good. In Russia it's 30%, but unfortunately it's falling. It's going in the wrong direction. Whereas in the West it's 1 to 5 percent It's quite possible many will perish the majority
Carbon footprint shows how much energy is being used per capita. Population density is way past the point where it's practical for people to live off the land in some subsistence living scenario. What is more likely to happen is that we'll see things like indoor farming being developed so that cities can feed themselves. This will become particularly important as climate continues to deteriorate, as indoor farms will make it possible to have stable environment to grow food in.
indoor farming is much more energy intensive. You can't defy the laws of physics sorry. Energy decline is certain, all feasts come to an end. The longer you stay in the denial and refuse to adapt the worse it is for you and your kindred. It is extremely practical to have land distribution because we have much better technology to make it possible, like high speed communication, local large language models, and permaculture. Huge percentage of food in Russia is already produced on small family plots. It is actually the only good outcome available that makes sense with the geophysical constraints on energy.
Nobody is talking about defying laws of physics here. Your whole premise rests on fossil fuels running out and being essential for energy production. This is simply false.
the point is not whether it is justified, the point is that it is not capitalism. It is maximum power principle. That any organism will try to maximize its energy usage in any ecosystem like deer will eat all the forest if given the chance. It's the same thing with humans. If someone lowers their fossil fuel consumption in one area, another area will make it go up until we run out. But we've been on a plateau for years and it's starting to decline and we should see global decline by 2030. And the 2030s are going to be the interesting times of the Chinese proverb.
The point is that capitalist relations are absolutely the problem here. Social systems do not have to be built around consumption. You're also talking about natural systems that evolve based on selection pressures as opposed to systems we design consciously.
There was absolutely no difference in the technocratic Soviet Union either. It was all based on energy economy and once the Soviet Union peaked everything went downhill and it crashed. And you know, my grandfather built those computers and my grandmother programmed them and my mother programmed them. The ones in the Soviet Union that managed the five-year plan. Obviously on a team of people, we weren't the only ones. So, you know, I have vested interest in it having worked, but the energy is what matters and it's distributism that saves the day. China is more distributed than almost any other modern nation. I think India probably is one of the few that has more land distribution. And basically the more land distribution the higher the survival chances once the fossil fuels go away. In the West it's looking since only 1 to 3% of people only land that they can grow food on maybe only 5% will survive.
Having grown up in USSR, I know there was in fact a huge difference. The economy wasn't structured around consumption, goods were built to last. People weren't spending their time constantly shopping and consuming things. The idea that USSR was destined to collapse is also pure nonsense. There were plenty of different ways it could've developed. USSR certainly didn't collapse because it was running out of energy.
Again, I'm explaining to you that society is a conscious and intentional construct that we make. USSR could have made changes in a similar way China did to move in a different direction. As your own chart shows, there was no shortage of energy as output rebounded. The problems were political and with the nature of the way the economy was structured.
Running out of energy is what was making everything fall apart. When the energy was growing, any kind of gap could be filled with more energy. But after it started declining, the gaps just got bigger. Yeah, they could have decided to become compassionate and think about how to live in a lower energy world, but they refused. And so the collapse, it was a combination of geopolitical factors, but it was also a refusal to adapt. China is smart. They have a very big rural promotion program. They can tell when someone is smart and knows what they're talking about. I meet with the leading scientists on energy and resources around the world every month. You can check out the YouTube channel of my name if you want.
The fact of the matter is that air is an incredibly inefficient thermal conductor so data centers have to burn a massive amount of extra electricity just to run powerful fans and chillers to force that heat away. That extra energy consumption means an air cooled facility is responsible for generating significantly more total heat for the planet than a liquid cooled one.
When you put servers in the ocean you utilize the natural thermal conductivity of water which is about 24 times higher than air and allows you to strip out the active cooling infrastructure entirely. You end up with a system that puts far less total energy into the environment because you aren't wasting power fighting thermodynamics. Even though the ocean holds that heat longer the volume of water is so vast that the local temperature impact dissipates to nothing within a few meters of the vessel.
I feel like dumping "waste" heat is the same as burning off "waste" gas from pumping oil.
It's not really just a waste byproduct, there just isn't a profitable way to utilize it. That heat could be used, but we just dump it into the ocean or the atmosphere because it's cheaper than building municipal heating or recycling it for industrial uses.
China's Haiyang nuclear power plant in Shandong province has begun its sixth heating season, covering an area of nearly 13 million square metres - 500,000 square metres more than last year.
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I heard about that! Heat from data centers is harder, unfortunately, because the amount of waste heat generated by a nuclear reactor is far higher than the amount generated by a data center. With smaller quantities of heat come greater costs to recuperate it, at least until they link all the waste-heat sources up into a single network that can collect from multiple data centers.
China is moving fast, though. I bet we'll see some kind of project like this before the bubble pops in the US.
"Israeli media outlets announce that the Israeli army targeted Raed Saad, a commander in the Qassam Brigades.
Saad is one of the founders of the Qassam Brigades and is responsible for the military manufacturing file within it, and a member of the military council."
un sistema per creare un sommario delle chat con millemila messaggi non letti.
Non so se genera anch un albero stimato delle conversazioni, per rimediare alla coglionagine di quelli che non menzionano mai il messaggio cui rispondono
Si, questo fa poco, ho provato qualche ai con python ma è veramente un casino capire le chat di gruppo e costruirci dei dati aggregati (esattamente come è difficile per noi umani)
Questo è quel che fa per ora:
Il testo viene suddiviso in righe. Ogni riga che inizia con un pattern riconosciuto come data/ora di WhatsApp (es. 10/12/25, 11:55 - ...) viene trattata come l'inizio di un messaggio. Viene estratta la data e confrontata con un insieme di date relative agli ultimi N giorni (di default, 10). Solo i messaggi appartenenti a queste date target vengono considerati.
Filtro per Parole Chiave: Per ogni messaggio filtrato per data, il testo del messaggio stesso (esclusa la parte del mittente e potenzialmente link/menzioni) viene confrontato con un insieme predefinito di parole chiave (es. "compiti", "riunione", "evento", "compilare", "sondaggio", "importante", "per venerdì", ecc.).
Identificazione Messaggi Significativi: Se una qualsiasi delle parole chiave è presente nel testo del messaggio (in forma minus
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Si, questo fa poco, ho provato qualche ai con python ma è veramente un casino capire le chat di gruppo e costruirci dei dati aggregati (esattamente come è difficile per noi umani)
Questo è quel che fa per ora:
Il testo viene suddiviso in righe. Ogni riga che inizia con un pattern riconosciuto come data/ora di WhatsApp (es. 10/12/25, 11:55 - ...) viene trattata come l'inizio di un messaggio. Viene estratta la data e confrontata con un insieme di date relative agli ultimi N giorni (di default, 10). Solo i messaggi appartenenti a queste date target vengono considerati.
Filtro per Parole Chiave: Per ogni messaggio filtrato per data, il testo del messaggio stesso (esclusa la parte del mittente e potenzialmente link/menzioni) viene confrontato con un insieme predefinito di parole chiave (es. "compiti", "riunione", "evento", "compilare", "sondaggio", "importante", "per venerdì", ecc.).
Identificazione Messaggi Significativi: Se una qualsiasi delle parole chiave è presente nel testo del messaggio (in forma minuscola e con corrispondenza parziale), il messaggio viene considerato significativo. Vengono estratti:
La data del messaggio.
Il mittente (numero o nome).
Il testo del messaggio.
Eventuali riferimenti temporali trovati all'interno del testo (es. "venerdì", "alle 15", "prossima settimana") utilizzando espressioni regolari.
Una categoria assegnata automaticamente in base a quale insieme specifico di parole chiave (es. " Incontri / Eventi", " Compiti / Verifiche") è stato trovato nel messaggio.
Formattazione del Riassunto: I messaggi identificati come significativi vengono poi raggruppati:
Prima per data, in ordine cronologico inverso (dal giorno più recente).
Poi all'interno di ogni data, vengono raggruppati per la categoria assegnata.
Infine, all'interno di ogni categoria e data, vengono elencati i singoli messaggi, mostrando mittente, testo e eventuali riferimenti temporali trovati.
Output: Il risultato finale è un testo formattato che rappresenta un riassunto contestuale e organizzato dei messaggi significativi trovati negli ultimi N giorni, evidenziando argomenti come appuntamenti, compiti, richieste, eventi, ecc., raggruppati in modo logico per facilitarne la lettura.
In sintesi, non è un vero e proprio "riassunto" AI, ma piuttosto un filtro contestuale basato su parole chiave con una riorganizzazione e formattazione del risultato.
Making Kin With Trees: A Cultural Poetics of Interspecies Care by Solvejg Nitzke, 2025
This book analyzes how trees act as mediators of interspecies relationships in popular science writing and creative nonfiction. Making Kin with Trees argues that trees emerge as agents of “arboreal poetics” shaping not only fictional but also material interactions.
The United States President, Donald Trump, has had his thoughts centred on Europe recently, and especially as concerns what appears to be an acknowledgement
kwayk42
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