Umjetna inteligencija (AI)

[The Exiled]

Autor Exy

"Nego što su to "AI factories" i što se u tim factories proizvodi točno?

eJaJ fabrike koje proizvode eJaJ koji proizvodi eJaJ, a ovaj Jensen je već dosadan i Bogu i vragu, svaki jebeni dan tip docira svima diljem svijeta, do te mjere da se AP čini kao običan amater.

[Exy]

Uh, nisam očekivao da će baš ovako otvoreno priznat da prodaju maglu.
"The primary product is intelligence, measured by token throughput"


Nego mislim da nije baš Jensen nego neki njegov minion ovoga puta. Ali očigledno i on ima dobre namjere i samo nas želi spasiti.

"What Are the Benefits of an AI Factory?

Transform Raw Data Into Revenue: AI factories convert raw data into actionable intelligence that can be used to drive business decisions and generate revenue."


"Actionable intelligence" su ovdje valjda oni AI youtube shorts u kojem ljudi padaju kroz podove, ruše avione i sl. stvari za 11-ogodišnjake. Sad samo treba smislit kako taj market monetizirati pa da se opravda potrošnja od par bilijarda i izgradnja par sto fuzijskih reaktora koji će služit da se generiraju videi mačaka. Doduše vidim da chat gpt od sad može naručiti i uber, ako to samo po sebi ne dokazuje da je superinteligencija iza ugla, ne znam što bi bilo potrebno. Umjesto da napravim 2 klika, to će umjesto mene napravit chat gpt i uz to spalit 3 tone ugljena, nitko nije rekao da je umjetna inteligencija jeftina.

[The Exiled]

eJaJ tragikomedija samo takva, kak god se okrene, a Jensen se nikak nemre pomiriti s činjenicom da je spušil kompletno kinesko tržište, posebice nakon kaj je potrošil silne milijune na večere s Trumpom i općenite pokušaje podmićivanja od Amerike do Tajvana, a onda mu Kina dodatno stavi točku na i, pa kompletno zabrani korištenje nVidia rješenja.

nVidia’s Jensen Huang warns it would be “foolish” to underestimate Huawei’s rapid rise in the AI industry. nVidia's CEO is aware that Huawei is gaining ground in the AI race, and since Team Green has been excluded from the Chinese market for months, the firm cannot compete with domestic alternatives. nVidia has been struggling to introduce Blackwell AI chips in China, while Huawei is moving at a pace where the company plans to compete with the Rubin architecture. This shows that, for Jensen, getting an entry into China isn't the only problem, but competing with Huawei is another.

Heavy Metal Steve je (između ostalog) najavil nastavak istraživanja i dokumentiranja nVidia pizdarija, tak da bude veselo kad ga (opet) stave na crnu listu.

[mkey]

Lako za crnu listu, Stevica bi za ovo mogao mogao doživjeti nesreću.

[The Exiled]

Da, probali su ga natjerali da uvijek pozitivno priča o svemu s nVidia predznakom, pa nije uspjelo, onda su mu ukinuli pravo pristupa njihovim inženjerima na raznim okupljanjima gdje firme općenito daju uvid u svoje nove i nadolazeće proizvode, pa nastavili s pokušajem blokiranja cijelog kanala kroz Bloomberg DMCA prijavu na temu krijumčarenja grafičkih kartica, tak da ne bi bilo ništa čudno, ako Jensen već sad planira na koji način bi Steve mogel pasti kroz prozor. Zajebanciju na stranu, ali eJaJ direktoru sigurno nije po volji da ih Heavy Metal Steve ne doživljava 5% u kontekstu PR i marketing propagande koju nikak da mu uspiju isforsirati.

[mkey]

Možeš biti siguran da gospoda koja su navikla biti okružena dupeliscima budu manje nego oduševljeni kada nalete na razne nepoćudne elemente.

[The Exiled]

100%, zato Steve mnogima ne paše, jer em veli kaj je na stvari, em recenzira hardver kak spada, umjesto da snimi unaprijed plaćeni skriptirani video koji je dio veće reklamne kampanje i to onda mnogima pomrsi račune, a ovaj se uporno ne da, pa još dodatno pojača na 11.

[tomek@vz]

Rapidly rising DRAM prices have the potential to seriously hurt PC gaming. You've probably already seen the crazy price hikes for DDR5 memory, with many popular kits doubling in price over just a few weeks. But increasing DRAM costs could also drive GPU prices higher. How bad could things get, and should you consider buying a GPU now to avoid potential increases in the coming weeks? That's what we'll be exploring today.
So what on earth is going on with DRAM prices? In short: AI.

> AI Is Eating All the DRAM. DDR5 Prices Just Doubled. GPUs Could Be Next.

[OuttaControl]

GPUs could be next? GPUs have been for years

[tomek@vz]

Autor OuttaControl

GPUs could be next? GPUs have been for years

Ajd bar malo se smirilo bilo jedno vrijeme bar sa AMD strane...jos me boli racun od 300 Eura za RX6600 , kupio ju taman kad se nakon sve one pompe trziste malo stabiliziralo. Al ako se tako nstavi osobna racunala ce poceti biti malo rijedi uredaj izmjene/upgrejda.

[The Exiled]

• Intel CEO Lip-Bu Tan takes ‘Direct Control’ of the AI strategy, promising consistent roadmap execution to drive a comeback
  
  
• Intel–OpenAI partnership is possible but “unlikely in the near term,” with Team Blue’s AI chip performance being the main marrier

Intelov (još uvijek) aktualni direktor lično i personalno preuzima provođenje eJaJ strategije, dok im glavni AI stručLJak ode u OpenAI koji pak ne želi imati posla s Intelom, a riječ je o firmi koja trenutno ima posla sa svima. Navodno da Modrić sad dok je još mlad preuzima treniranje Intelove AI divizije, a ako to ne vrati Intel na staru slavu, ima da se od sramote sruši stadion u Maksimiru.

[tomek@vz]

Malo pozitive...

Winning the lottery isn't what brought Carrie Edwards her 15 minutes of fame. It was giving it all away. Standing alone in her kitchen one day in September, the Virginia woman was thunderstruck to discover she had won $150,000 in a Powerball drawing. As she was absorbing her windfall, she said, "I just heard as loud as you can hear God or whoever you believe in the universe just say, this is -- it's not your money." Then came a decision: She would donate it all to her three most cherished charities (source paywalled; alternative source). [...] Her journey to the lucky prize started when she walked into a 7-Eleven with a friend who wanted to buy two Powerball tickets. The jackpot for the Sept. 6 drawing was topping $1.7 billion, the second-largest amount ever. Edwards, 68, hardly ever played the lottery, but her friend was an active player who gave her two pieces of advice: Always buy a paper ticket, rather than getting them online. And the Powerball multiplier is a scam, don't do it. She ignored him on both accounts.

> She Used ChatGPT To Win the Virginia Lottery, Then Donated Every Dollar

[mkey]

Ako ništa drugo, ovo zvuči kao odlična reklama.

[kopija]

LeCun baca truth bombs, WSJ paywall pa samo quotam.

Yann LeCun Has Been Right About AI for 40 Years. Now He Thinks Everyone Is Wrong.

wsj.com/tech/ai/yann-lecun-ai-meta-0058b13c
Meghan Bobrowsky
November 15, 2025

As a graduate student in the 1980s, Yann LeCun had trouble finding an adviser for his Ph.D. thesis on machine learning—because no one else was studying the topic, he recalled later.
More recently, he’s become the odd man out at Meta. Despite worldwide renown as one of the godfathers of artificial intelligence, he has been increasingly sidelined as the company’s approach diverged from his views on the technology’s future. On Tuesday, news broke that he may soon be leaving Meta to pursue a startup focused on so-called world models, technology that LeCun thinks is more likely to advance the state of AI than Meta’s current language models.
Meta Chief Executive Mark Zuckerberg has been pouring countless billions into the pursuit of what he calls “superintelligence,” hiring an army of top researchers tasked with developing its large language model, Llama, into something that can outperform ChatGPT and Google’s Gemini.
LeCun, by his choice, has taken a different direction. He has been telling anyone who asks that he thinks large language models, or LLMs, are a dead end in the pursuit of computers that can truly outthink humans. He’s fond of comparing the current start-of-the-art models to the mind of a cat—and he believes the cat to be smarter. Several years ago, he stepped back from managing his AI division at Meta, called FAIR, in favor of a role as an individual contributor doing long-term research.
“I’ve been not making friends in various corners of Silicon Valley, including at Meta, saying that within three to five years, this [world models, not LLMs] will be the dominant model for AI architectures, and nobody in their right mind would use LLMs of the type that we have today,” the 65-year-old said last month at a symposium at the Massachusetts Institute of Technology.
LeCun has been talking to associates about creating a startup focused on world models, recruiting colleagues and speaking to investors, The Wall Street Journal previously reported. A world model learns about the world around it by taking in visual information, much like a baby animal or young child does, versus LLMs, which are predictive models based on vast databases of text.
LeCun didn’t respond to requests for comment, and Meta declined to comment.
Early innovations


LeCun was born in Paris, raised in the city’s suburbs and attended what’s now known as the Sorbonne University in France in the 1980s. While getting his Ph.D., he married his wife, Isabelle, and they had the first of their three sons. A woodwind musician, he played traditional Breton music for a Renaissance dance troupe.
Always ahead of the curve, LeCun studied machine learning before it was en vogue. He worked in Nobel Prize winner Geoffrey Hinton’s AI lab in Toronto before Hinton became an AI legend, and spent much of his early professional career in New Jersey at Bell Labs, the institute famous for the sheer number of inventions that came out of it.
“The thing that excites me the most is working with people who are smarter than me, because it amplifies your own abilities,” LeCun told Wired magazine in 2023.

LeCun has described himself as ‘a scientist, an atheist, a leftist (by American standards at least), a university professor, and a Frenchman.’

At Bell, LeCun helped develop handwriting-recognition technology that became widely used by banks to read checks automatically. He also worked on a project to digitize and distribute paper documents over the internet.
LeCun, who’s said he’s always been interested in physics, mostly worked with physicists at Bell and read a number of physics textbooks.
“I learned a lot by reading things that are not apparently connected with AI or computer science (my undergraduate degree is in electrical engineering, and my formal CS training is pretty small),” he said during a Reddit ask-me-anything session 12 years ago.
In 2003, LeCun started teaching computer science at New York University, and later he became the founding director of NYU’s Center for Data Science. When he’s in New York, he has been known to frequent the city’s jazz clubs.
In 2013, Zuckerberg personally recruited him to head up a new AI division at what was then called Facebook. LeCun oversaw the lab for four years, stepping down in 2018 to become an individual contributor and Facebook’s chief AI scientist.
He won the 2018 A.M. Turing Award, the highest prize in computer science, along with Hinton and Yoshua Bengio. The award honored their foundational work on neural networks, multilayered systems that underlie many powerful AI systems, from OpenAI’s chatbots to self-driving cars.
Since then, LeCun, who speaks with a light French accent and is known for wearing black Ray-Ban glasses and collared shirts, has largely become a figurehead for the company. He wasn’t part of the team that helped create Meta’s first open-source large language model, called Llama, and he hasn’t been involved in the day-to-day operations of their development since.
LeCun works on his own projects and travels to conferences, talking about Meta’s AI glasses and his own views on the path to AI advancement, among other things, people who have worked with him said.
Léon Bottou, a longtime friend of LeCun’s, previously told The Wall Street Journal that he’s “stubborn in a good way,” meaning he is willing to listen to others’ views, but has strong convictions of his own.
He also holds strong opinions on a variety of other topics. “I am everything the religious right despises,” he wrote on his website: “a scientist, an atheist, a leftist (by American standards at least), a university professor, and a Frenchman.”
Breaking away


Most of his recent takes have been knocks on the LLMs at the center of Zuckerberg’s ambitions–and also of nearly every other major tech company’s.
“We are not going to get to human-level AI just by scaling LLMs,” he said on Alex Kantrowitz’s Big Technology podcast this spring. “There’s no way, absolutely no way, and whatever you can hear from some of my more adventurous colleagues, it’s not going to happen within the next two years. There’s absolutely no way in hell to–pardon my French.”
This summer, as part of a major restructuring, Zuckerberg named 28-year-old Alexandr Wang as Meta’s new chief AI officer–LeCun’s new boss–and ChatGPT co-creator Shengjia Zhao as Meta’s new chief scientist.

Alexandr Wang is now Meta’s chief AI officer—and LeCun’s new boss.

Employees inside Meta’s thousand-person-plus AI division started asking each other: What’s going to happen to Yann LeCun?
Some viewed the announcements as LeCun being cast aside after not getting onboard with Zuckerberg’s AI vision.
“There is no change in Yann’s role. He will continue to be Chief Scientist for FAIR!” the CEO posted on his social media app, Threads, in July, referring to the AI division that he hired LeCun to lead over a decade ago. FAIR is shorthand for the Fundamental AI Research group.
“I’m looking forward to working with Shengjia,” LeCun replied in a comment.
In recent months though, LeCun’s once burgeoning AI division has faced job cuts and fewer resources, and has become less prestigious internally, according to current and former employees.
For a long time, the division, helmed by LeCun, was seen as a place to discuss lofty ideas about the future of artificial intelligence, conduct experiments that may or may not pan out, and not give too much thought to how their research breakthroughs might be turned into actual products someday.
Now, Meta’s new AI research organization, full of fresh hires making millions of dollars, is being led by Wang, who is pushing the teams to make rapid breakthroughs and quickly turn those advancements into products.
LeCun, meanwhile, has been tromping through Asia and Europe and speaking at conferences. In one such talk earlier this year, he doled out advice to aspiring researchers: “If you are a Ph.D. student in AI, you should absolutely not work on LLMs.”

[mkey]

E jesu ga pretjerali s dimenzijama sličica. A ovaj world model mi nije jasan, što ne čudi.

[tomek@vz]

A report was recently published by an AI-research company called Anthropic. They are the ones who notably created Claude, an AI-assistant for coding. Personally, I don’t use it but that is besides the point. Before we start, it’s important to say I don’t have anything against them, or AI in general. I do have some documented concerns but I am not “Anti-AI”, or whatever. Rather than the technology itself, it’s the industry’s perception of it, and the way it is inserted everywhere, even when unnecessary that bothers me. However, that too is a bit besides the point.
Today, I wanted to discuss the Paper (or Report, however you want to call it) that was recently published by them. Looking at the executive summary, this paragraph jumps out immediately.

In mid-September 2025, we detected a highly sophisticated cyber espionage operation conducted by a Chinese state-sponsored group we’ve designated GTG-1002 that represents a fundamental shift in how advanced threat actors use AI. Our investigation revealed a well-resourced, professionally coordinated operation involving multiple simultaneous targeted intrusions. The operation targeted roughly 30 entities and our investigation validated a handful of successful intrusions.

This is extremely interesting for many reasons:

• Anthropic seemingly disrupted an APT’s campaign, though a number of companies and government entities were affected,
• This highly-advanced APT doesn’t use its own infra, but rather relies on Claude to coordinate its automation (??? Why, though ?),
• I assume they run exploits and custom tools ? If so, what are these ?
• Anthropic was able to attribute this attack to a Chinese-affiliated state-sponsored group.

TLDR:

There is a paragraph at the end that seem to give us a clue:

The cybersecurity community needs to assume a fundamental change has occurred: Security teams should experiment with applying AI for defense in areas like SOC automation, threat detection, vulnerability assessment, and incident response and build experience with what works in their specific environments.

“Security teams should experiment with applying AI for defense”
…
Hmm. But who sells this kind of AI they’re talking about here ?
At the end of the day, this shit is a pathetic excuse of a report and should not be taken as anything else than a shameless attempt at selling more of their product. This is shameful and extremely unprofessional, at best. This disregard for basics ethics in order to sell just a little bit more make me want to never use their product, ever.
Do better.

> anthropic’s paper smells like bullshit

[Exy]

Autor kopija

LeCun baca truth bombs, WSJ paywall pa samo quotam.


“We are not going to get to human-level AI just by scaling LLMs,” he said on Alex Kantrowitz’s Big Technology podcast this spring. “There’s no way, absolutely no way, and whatever you can hear from some of my more adventurous colleagues, it’s not going to happen within the next two years. There’s absolutely no way in hell to–pardon my French.”

Nije točno, kaže Altman da nam treba par sto atomskih elektrana i dolazi nam superinteligencija. Superinteligencija je pitanje megavata a kod Altmana je nula pomnožena sa 1000 neki jako velik broj.


"NVIDIA & Anthropic Strike a Surprising Deal Worth $10 Billion Despite Their CEOs Previously Taking Shots at Each Other Over ‘Who Does AI Better’"

Circlejerk se nastavlja.

[Neo-ST]

Znači za AI očito ne vrijede termini poput "sustainable".
Ironično da je isti termin Elon iskoristio 2021e protiv mininga kriptovaluta, šta je pokrenulo lavinu prodaje i drastičan pad istih.
Samo primjećujem neke stvari, carry on.

[The Exiled]

Elon općenito laže, dok zine, a kak su godine prolazile, tak je i on okretal kapute, počevši od toga kak su električni auti (posebice Teslini modeli) nešto najbolje za okoliš, jer se struja za njih proizvodi branjem tratinčica, dok se za svaki prodani primjerak posadi desetak novih livada prepunih pčela i košnica. Jučer Bitcoin i briga za okoliš, a danas AI datacentri.

Elon Musk's xAI has nearly doubled gas turbines at its Tennessee data center, exceeding previously known figures and surpassing the number for which the company has submitted permits. None of the 35 methane gas turbines that help power xAI’s massive supercomputer is equipped with pollution controls typically required by federal rules. In just 11 months since the company arrived in Memphis, xAI has become one of Shelby County’s largest emitters of smog-producing nitrogen oxides.

[mkey]

Autor Neo-ST

Znači za AI očito ne vrijede termini poput "sustainable".

Vrijedi, kako ne. To ti je ono, ja jedem kupus, ti jedeš meso, a u prosjeku jedemo sarmu. Ono što oni potroše ekstra, netko drugi (plebejci) će morati nadoknaditi.


Kolega Exiled, branje tratinčica uopće nije dobro za okoliš.

[The Exiled]

Tratinčice su trebale biti subvencionirane, tako da i nakon branja, pošto je riječ o obnovljivim izvorima enegrije, uvijek ostane dovoljno za okoliš.

[tomek@vz]

Autor mkey

Vrijedi, kako ne. To ti je ono, ja jedem kupus, ti jedeš meso, a u prosjeku jedemo sarmu.

Mmmm...sarma

[Colop]

https://www.index.hr/vijesti/clanak/...j/2731488.aspx


GRUPA Schwarz, vlasnica Lidla i Kauflanda, objavila je danas da će uložiti 11 milijardi eura u gradnju podatkovnog centra u matičnoj Njemačkoj. Najavljeni iznos najveći je u povijesti grupe, istaknuli su.


Oko 2,5 milijardi eura bit će uloženo u gradnju, a ostatak u IT infrastrukturu, uključujući i otprilike 100 tisuća posebnih čipova za umjetnu inteligenciju.


Centar će biti izgrađen u mjestu Lübbenau na površini od oko 13 hektara, a koristit će se "u prvom redu" za potrebe grupe, rekli su na svečanosti početka radova čelnici digitalnog odjela Rolf Schumann i Christian Müller.


Grupa želi sama odlučivati o svojim podacima, dodali su Schumann i Müller.


Podaci su "nafta 21. stoljeća, novi kod u kojem je pohranjeno naše znanje", naglasio je Müller za Bild. "Želimo da se podaci pohranjuju tamo gdje su zakoni i vrijednosti identični našim korporativnim vrijednostima", poručili su iz tvrtke.

[Psycho]

On premises is back

Weareback Wereback GIFfrom Weareback GIFs

[tomek@vz]

Ajd bar nekima doslo iz guzice u glavu.

[mkey]

Znači krenuli su o podacima pričati kao o "novoj nafti" i u skroz mainstream outletima. Prije deset+ godina to su smjeli samo ravnozemljaši i ostali raznorazni teoretičari.

[Exy]

Meni i dalje nije jasno što će se točno čuvati u "podatkovnom centru" od 11 milijarda EUR? Koja je ideja iza toga osim da švabe kao i obično kasno ulaze na vlak koji je skoro pa prošao.

[tomek@vz]

Autor Exy

Meni i dalje nije jasno što će se točno čuvati u "podatkovnom centru" od 11 milijarda EUR? Koja je ideja iza toga osim da švabe kao i obično kasno ulaze na vlak koji je skoro pa prošao.

U svijetu Enterprise IT opreme to je sica. A di je tek softwer, licence i ostala popratna sranja...


Hovewer natrag na AI:

Tsinghua University collected 4,986 AI and machine learning patents between 2005 and the end of 2024. The Beijing institution has received more than 900 patents last year alone. The total exceeds the combined patent count from MIT, Stanford, Princeton and Harvard during the same period. China now accounts for more than half of all active patent families globally in AI and machine learning fields, according to data analytics service LexisNexis.

The university also has more AI research papers among the 100 most cited than any other school at last count. The US still holds the most influential AI patents and the top performing models. Harvard and MIT consistently rank ahead of Tsinghua in patent influence. American institutions produced 40 notable AI models in 2024 compared to 15 from Chinese organizations, according to Stanford's AI Index Report. China's share of the world's elite AI researchers -- the top 2% -- rose from 10% in 2019 to 26% in 2022. The US share fell from 35% to 28% during the same period, according to the Information Technology & Innovation Foundation.

[Colop]

Mene više fascinira odakle će vući struja za to.
Znači ameri kažu da AI data centar od 1 footbal field troši struje kao grad od 30.000 ljudi.

The biggest and most powerful AI data center is Microsoft's Fairwater facility in Mount Pleasant, Wisconsin, expected to go online in early 2026. It is a 315-acre site that will house hundreds of thousands of NVIDIA GPUs and is designed to act as a single, massive AI supercomputer.

Ako je premisa točna,

315 acres = približno 1.274.760 m² (točno: 1.274.759,77 m²).
igralište američkog nogometa = 5.350 četvornih metara.


1.274.759,77 ÷ 5.350,00 ≈ 238,28

Dakle, površina od 315 acre odgovara otprilike 238,28 američkih nogometnih igrališta.


Izračun:

238,28 × 30.000 = 7.148.400

Dakle, rezultat je 7.148.400. ljudi, tj taj data centar će trošiti struje kao čitav grad Madrid.

[tomek@vz]

Autor Colop

Mene više fascinira odakle će vući struja za to.
Znači ameri kažu da AI data centar od 1 footbal field troši struje kao grad od 30.000 ljudi.

The biggest and most powerful AI data center is Microsoft's Fairwater facility in Mount Pleasant, Wisconsin, expected to go online in early 2026. It is a 315-acre site that will house hundreds of thousands of NVIDIA GPUs and is designed to act as a single, massive AI supercomputer.

Ako je premisa točna,

315 acres = približno 1.274.760 m² (točno: 1.274.759,77 m²).
igralište američkog nogometa = 5.350 četvornih metara.


1.274.759,77 ÷ 5.350,00 ≈ 238,28

Dakle, površina od 315 acre odgovara otprilike 238,28 američkih nogometnih igrališta.


Izračun:

238,28 × 30.000 = 7.148.400

Dakle, rezultat je 7.148.400. ljudi, tj taj data centar će trošiti struje kao čitav grad Madrid.

Nuklearke, nema druge.

The Trump administration will provide Constellation Energy with a $1 billion loan to restart the Crane Clean Energy Center nuclear plant in Pennsylvania, Department of Energy officials said Tuesday. Previously known as Three Mile Island Unit 1, the plant is expected to start generating power again in 2027. Constellation unveiled plans to rename and restart the reactor in Sept. 2024 through a power purchase agreement with Microsoft to support the tech company's data center demand in the region.

Three Mile Island Unit 1 ceased operations in 2019, one of a dozen reactors that closed in recent years as nuclear struggled to compete against cheap natural gas. It sits on the same site as Three Mile Island Unit 2, the reactor that partially melted down in 1979 in the worst nuclear accident in U.S. history. The loan would cover the majority to the project's estimated cost of $1.6 billion. The first advance to Constellation is expected in the first quarter of 2026, said Greg Beard, senior advisor to the Energy Department's Loan Programs Office, in a call with reporters. The loan comes with a guarantee from Constellation that it will protect taxpayer money, Beard said.