Forgot your password?
Close
typodupeerror
Portables (Apple)

Apple MacBook Neo Beats Every Single x86 PC CPU For Single-Core Performance (notebookcheck.net) 329

Posted by BeauHD from the would-you-look-at-that dept.
Early benchmarks show the A18 Pro-powered MacBook Neo beating every current x86 CPU in single-core Cinebench performance, including chips from Intel and AMD. Notebookcheck reports: We have performed a couple of benchmarks and were particularly impressed by the single-core performance. Not in the short Geekbench test, but in Cinebench 2024, where a single-core test takes about 10 minutes. The A18 Pro consumes between 3.5-4 Watts in this scenario and scores 147 points. This means it is faster than every other x86 processor in our database, including the two desktop processors Intel Core Ultra 9 285K & AMD Ryzen 9 9950X3D. This also means the MacBook Neo beats every modern mobile processor from AMD, Intel and also Qualcomm, even though the upcoming Snapdragon X2 chips should be a bit faster. The A18 Pro is also slightly faster than Apple's own M3 generation in this scenario. Further reading: ASUS Executive Says MacBook Neo is 'Shock' to PC Industry
Oracle

OpenAI Is Walking Away From Expanding Its Stargate Data Center With Oracle (cnbc.com) 41

Posted by BeauHD from the logical-decisions dept.
OpenAI is reportedly backing away from expanding its AI data center partnership with Oracle because newer generations of Nvidia GPUs may arrive before the facility is even operational. CNBC reports: Artificial intelligence chips are getting upgraded more quickly than data centers can be built, a market reality that exposes a key risk to the AI trade and Oracle's debt-fueled expansion. OpenAI is no longer planning to expand its partnership with Oracle in Abilene, Texas, home to the Stargate data center, because it wants clusters with newer generations of Nvidia graphics processing units, according to a person familiar with the matter.

The current Abilene site is expected to use Nvidia's Blackwell processors, and the power isn't projected to come online for a year. By then, OpenAI is hoping to have expanded access to Nvidia's next-generation chips in bigger clusters elsewhere, said the person, who asked not to be named due to confidentiality. In a post on X, Oracle called the reports "false and incorrect." However, it only said existing projects are on track and didn't address expansion plans.

CNBC notes: "Oracle secured the site, ordered the hardware, and spent billions of dollars on construction and staff, with the expectation of going bigger."

Comment Wrong assumption in the article (Score 5, Interesting) 83

by SteveWoz (#65962954) Attached to: When 20-Year-Old Bill Gates Fought the World's First Software Pirates

I, Steve Wozniak, did not participate in the theft of the BASIC. It was funny to me to see others enjoying doing this. I had never used BASIC myself, at that time, only the more-scientific languages like Fortran, Algol, and PL-1, and several assembly languages. I sniffed the air and sensed that you needed BASIC to sell computers into homes, because of the book 101 Games in BASIC. I loved games and saw games as the key. It was the [MS] BASIC that inspired me to write a BASIC interpreter for my 6502 processor, in order to have a more useful computer.
Programming

Stack Overflow Went From 200,000 Monthly Questions To Nearly Zero (stackexchange.com) 125

Posted by msmash from the how-about-that dept.
Stack Overflow's monthly question volume has collapsed to about 300 -- levels not seen since the site launched in 2009, according to data from the Stack Overflow Data Explorer that tracks the platform's activity over its sixteen-year history.

Questions peaked around 2014 at roughly 200,000 per month, then began a gradual decline that accelerated dramatically after ChatGPT's November 2022 launch. By May 2025, monthly questions had fallen to early-2009 levels, and the latest data through early 2026 shows the collapse has only continued -- the line now sits near the bottom of the chart, barely registering.

The decline predates LLMs. Questions began dropping around 2014 when Stack Overflow improved moderator efficiency and closed questions more aggressively. In mid-2021, Prosus acquired Stack Overflow for $1.8 billion. The founders, Jeff Atwood and Joel Spolsky, exited before the terminal decline became apparent. ChatGPT accelerated what was already underway. The chatbot answers programming questions faster, draws on Stack Overflow's own corpus for training data, and doesn't close questions for being duplicates.
AI

'AI Can't Think' (theverge.com) 289

Posted by BeauHD from the language-doesn't-equal-intelligence dept.
In an essay published in The Verge, Benjamin Riley argues that today's AI boom is built on a fundamental misunderstanding: language modeling is not the same as intelligence. "The problem is that according to current neuroscience, human thinking is largely independent of human language -- and we have little reason to believe ever more sophisticated modeling of language will create a form of intelligence that meets or surpasses our own," writes Riley. A user shares: The article goes on to point out that we use language to communicate. We use it to create metaphors to describe our reasoning. That people who have lost their language ability can still show reasoning. That human beings create knowledge when they become dissatisfied with the current metaphor. Einstein's theory of relativity was not based on scientific research. He developed it as thought experiment because he was dissatisfied with the existing metaphor. It quotes someone who said, "common sense is a collection of dead metaphors." And that AI, at best, can rearrange those dead metaphors in interesting ways. But it will never be dissatisfied with the data it has or an existing metaphor.

A different critique (PDF) has pointed out that even as a language model AI is flawed by its reliance on the internet. The languages used on the internet are unrepresentative of the languages in the world. And other languages contain unique descriptions/metaphors that are not found on the internet. My metaphor for what was discussed was the descriptions of the kinds of snow that exist in Inuit languages that describe qualities nowhere found in European languages. If those metaphors aren't found on the internet, AI will never be able create them.

This does not mean that AI isn't useful. But it is not remotely human intelligence. That is just a poor metaphor. We need a better one. Benjamin Riley is the founder of Cognitive Resonance, a new venture to improve understanding of human cognition and generative AI.

Submission + - Python Software Foundation refuses $1.5 million grant with anti DEI provision. (blogspot.com) 1

Submitted by Jeremy Allison - Sam
Jeremy Allison - Sam writes: The PSF has withdrawn a $1.5 million proposal to US government grant program.

"We became concerned, however, when we were presented with the terms and conditions we would be required to agree to if we accepted the grant. These terms included affirming the statement that we “do not, and will not during the term of this financial assistance award, operate any programs that advance or promote DEI, or discriminatory equity ideology in violation of Federal anti-discrimination laws.”
AI

Mira Murati's Stealth AI Lab Launches Its First Product (wired.com) 33

Posted by BeauHD from the less-of-a-black-box dept.
An anonymous reader quotes a report from Wired: Thinking Machines Lab,a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product -- a tool called Tinker that automates the creation of custom frontier AI models. "We believe [Tinker] will help empower researchers and developers to experiment with models and will make frontier capabilities much more accessible to all people," said Mira Murati, cofounder and CEO of Thinking Machines, in an interview with WIRED ahead of the announcement.

Big companies and academic labs already fine-tune open source AI models to create new variants that are optimized for specific tasks, like solving math problems, drafting legal agreements, or answering medical questions. Typically, this work involves acquiring and managing clusters of GPUs and using various software tools to ensure that large-scale training runs are stable and efficient. Tinker promises to allow more businesses, researchers, and even hobbyists to fine-tune their own AI models by automating much of this work.

Essentially, the team is betting that helping people fine-tune frontier models will be the next big thing in AI. And there's reason to believe they might be right. Thinking Machines Lab is helmed by researchers who played a core role in the creation of ChatGPT. And, compared to similar tools on the market, Tinker is more powerful and user friendly, according to beta testers I spoke with. Murati says that Thinking Machines Lab hopes to demystify the work involved in tuning the world's most powerful AI models and make it possible for more people to explore the outer limits of AI. "We're making what is otherwise a frontier capability accessible to all, and that is completely game-changing," she says. "There are a ton of smart people out there, and we need as many smart people as possible to do frontier AI research." "There's a bunch of secret magic, but we give people full control over the training loop," OpenAI veteran John Schulman says. "We abstract away the distributed training details, but we still give people full control over the data and the algorithms."

Comment Re:The underpaid teachers thing is a foul myth (Score 1) 144

This is certainly not the case in New York State. The pension my 85-year-old mom gets is an order of magnitude less than her at-retirement salary (at 55), which was still less than my starting salary at my first comp sci gig (which was 6 years before she retired). When I lived in California, the “running joke” with some teacher friends of mine was that you’d get a pink slip at the end of the school year and find out if you still had a job a few weeks before the next school year started.
News

VP.NET Publishes SGX Enclave Code: Zero-Trust Privacy You Can Actually Verify 12

Posted by Slashdot Staff from the dont-trust-verify dept.
VP.NET has released the source code for its Intel SGX enclave on GitHub, allowing anyone to build the enclave and verify its mrenclave hash matches what's running on the servers. This takes "don't trust, verify" from marketing to reality, making privacy claims testable all the way down to hardware-enforced execution.

A move like this could set a new benchmark for transparency in privacy tech.

Comment Re:Sold his stock (Score 5, Informative) 98

I gave all my Apple wealth away because wealth and power are not what I live for. I have a lot of fun and happiness. I funded a lot of important museums and arts groups in San Jose, the city of my birth, and they named a street after me for being good. I now speak publicly and have risen to the top. I have no idea how much I have but after speaking for 20 years it might be $10M plus a couple of homes. I never look for any type of tax dodge. I earn money from my labor and pay something like 55% combined tax on it. I am the happiest person ever. Life to me was never about accomplishment, but about Happiness, which is Smiles minus Frowns. I developed these philosophies when I was 18-20 years old and I never sold out.
China

Much of the World's Solar Gear is Made Using Fossil Power in China (asiatimes.com) 275

Posted by EditorDavid from the old-king-coal dept.
China "accounts for more than half of global coal use," reports Asia Times, "even as it builds the world's largest solar-panel and EV industries." Much of the world's solar gear is made on fossil power. The International Energy Agency finds that "coal generates over 60% of the electricity used for global solar PV manufacturing," far above coal's ~36% share of typical grids. That is because over 80% of PV factories sit in Chinese provinces like Xinjiang and Jiangsu, where coal dominates the grid.

China has poured over $50 billion into solar factories since 2011, roughly ten times Europe's investment, cutting panel costs by about 80% and fueling a worldwide solar boom. But those panels were produced on coal. In one analysis, they repay their manufacturing CO2 in only months, meaning the emissions were dumped up-front in China's coal plants. Any major disruption to China's coal power or factories (from grid shocks to trade barriers) could thus send ripples through the global PV market.

China's coal and heavy industries also feed its clean-tech supply chain. Coal-fired steel mills supply the aluminum and metal parts for EVs and panels, and coal chemicals provide battery precursors and silicon for solar... At the same time, Chinese oil and gas giants (CNPC, Sinopec) have set up solar, wind and battery divisions, redirecting fossil profits into green ventures.
Another interesting statistic from the article: "In Thailand, Asia's long-time auto hub, Chinese EV brands now command more than 70% of EV sales."
AI

McDonald's AI Hiring Bot Exposed Millions of Applicants' Data To Hackers 25

Posted by BeauHD from the perils-of-AI dept.
An anonymous reader quotes a report from Wired: If you want a job at McDonald's today, there's a good chance you'll have to talk to Olivia. Olivia is not, in fact, a human being, but instead an AI chatbot that screens applicants, asks for their contact information and resume, directs them to a personality test, and occasionally makes them "go insane" by repeatedly misunderstanding their most basic questions. Until last week, the platform that runs the Olivia chatbot, built by artificial intelligence software firm Paradox.ai, also suffered from absurdly basic security flaws. As a result, virtually any hacker could have accessed the records of every chat Olivia had ever had with McDonald's applicants -- including all the personal information they shared in those conversations -- with tricks as straightforward as guessing the username and password "123456."

On Wednesday, security researchers Ian Carroll and Sam Curryrevealedthat they found simple methods to hack into the backend of the AI chatbot platform on McHire.com, McDonald's website that many of its franchisees use to handle job applications. Carroll and Curry, hackers with along track record of independent security testing, discovered that simple web-based vulnerabilities -- including guessing one laughably weak password -- allowed them to access a Paradox.ai account and query the company's databases that held every McHire user's chats with Olivia. The data appears to include as many as 64 million records, including applicants' names, email addresses, and phone numbers.

Carroll says he only discovered that appalling lack of security around applicants' information because he was intrigued by McDonald's decision to subject potential new hires to an AI chatbot screener and personality test. "I just thought it was pretty uniquely dystopian compared to a normal hiring process, right? And that's what made me want to look into it more," says Carroll. "So I started applying for a job, and then after 30 minutes, we had full access to virtually every application that's ever been made to McDonald's going back years." Paradox.ai confirmed the security findings, acknowledging that only a small portion of the accessed records contained personal data. The company stated that the weak-password account ("123456") was only accessed by the researchers and no one else. To prevent future issues, Paradox is launching a bug bounty program. "We do not take this matter lightly, even though it was resolved swiftly and effectively," Paradox.ai's chief legal officer, Stephanie King, told WIRED in an interview. "We own this."

In a statement to WIRED, McDonald's agreed that Paradox.ai was to blame. "We're disappointed by this unacceptable vulnerability from a third-party provider, Paradox.ai. As soon as we learned of the issue, we mandated Paradox.ai to remediate the issue immediately, and it was resolved on the same day it was reported to us," the statement reads. "We take our commitment to cyber security seriously and will continue to hold our third-party providers accountable to meeting our standards of data protection."

Slashdot Top Deals

The finest eloquence is that which gets things done.

Close