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