Lowyat.NET: Latest topics by ipohps3

UMobile ULTRA5G Proven 💪💪💪

ipohps3 — Fri, 29 May 2026 21:15:04 +0800

BYD Reveals Autonomous Driving Chip

ipohps3 — Fri, 29 May 2026 20:07:41 +0800

[twt]https://twitter.com/CnEVPost/status/2059984654967640466[/twt]

Claude Opus 4.8 Released!

ipohps3 — Fri, 29 May 2026 01:22:32 +0800

Ukraine: Robot War In Action

ipohps3 — Thu, 28 May 2026 15:43:47 +0800

worth watching, excellent documentary

[YOUTUBE]_9GkUkIaOno[/YOUTUBE]

World’s 1st 4K 360Hz Monitor

ipohps3 — Thu, 28 May 2026 13:31:31 +0800

https://wccftech.com/samsung-ends-4k-vs-ref...80hz-dual-mode/

Selamat Hari Raya Daripada...

ipohps3 — Thu, 28 May 2026 13:15:37 +0800

UK To Tax LVG Too

ipohps3 — Wed, 27 May 2026 20:47:07 +0800

UK retailers demand urgent levy on low-value imports to curb Shein’s edge

LONDON: British retailers, including Next and Marks & Spencer, have called for a £2.60 (US$3.50) customs duty to be imposed urgently on low-value parcels from overseas to close a tax loophole that benefits online players like China’s Shein.

UK retailers have been squeezed by rapidly growing ultra-low-cost platforms like Shein, Temu, AliExpress and more recently Amazon Haul, which send packages directly from factories in China to shoppers’ doorsteps, benefiting from a customs waiver on parcels worth less than £135 pounds.

Last November, the UK government said it would start charging customs duties on low-value e-commerce parcels from March 2029 “at the latest” and began a consultation.

However, that puts Britain well behind the EU, which plans a €3 charge from July, and the US, the biggest market for Shein and Temu, which ended its customs waiver, dubbed “de minimis”, on parcels worth less than US$800 in August.

Government needs to move faster, say UK retailers

In a letter to Prime Minister Keir Starmer and finance minister Rachel Reeves, 16 UK retailers – also including Primark, Argos, ASOS, Kingfisher and Currys – said the government needed to speed-up the process.

“There is an urgent need to act now,” the letter said, noting low value imports trade increased by over 50% between 2023-2024 and 2024-2025.

“We urge you to accelerate the implementation of customs reform, with meaningful progress delivered by peak 2026 trading,” it said.

The letter stated that if that is not possible the government must follow the EU in bringing in an interim measure in the form of a flat charge per parcel.

“This … would begin to restore fair competition between UK retailers and overseas sellers, to the ultimate benefit of UK consumers,” it added.

https://www.freemalaysiatoday.com/category/...urb-sheins-edge

Nvidia 🇹🇼 Employees Meeting Jensen

ipohps3 — Wed, 27 May 2026 20:22:05 +0800

[fbvtall]1481801237019620[/fbvtall][fbvtall]3106357842894439[/fbvtall]
https://www.facebook.com/technewsinside/reels/

YB DAP Baca Al-Quran

ipohps3 — Wed, 27 May 2026 14:07:04 +0800

[fbvtall]818199181112935[/fbvtall]

betul ke ni 🤔

ipohps3 — Wed, 27 May 2026 13:57:33 +0800

ktard got this issue?

ipohps3 — Wed, 27 May 2026 13:35:06 +0800

https://www.scmp.com/week-asia/people/artic...ly-harassed-now

All 3 Memory Makers Break 1T Liao...

ipohps3 — Wed, 27 May 2026 11:50:05 +0800

Memory chip frenzy sends SK Hynix, Micron into US$1 trillion club

SEOUL: The breakneck surge in memory-chip stocks is intensifying, sending the market capitalisations of SK Hynix and Micron Technology above US$1 trillion for the first time, as investors bet the AI boom will lead to a sustained revaluation of the industry.

SK Hynix rose as much as 13% in South Korea on Wednesday, taking its 12-month gain to more than 1,000% and becoming the third Asian company to join the US$1 trillion club after rival memory-chip maker Samsung Electronics earlier this month. Micron soared 19% on Tuesday, the most since 2011, after a UBS Group AG analyst said the stock may double over the next year.

The three leading makers of high-bandwidth memory (HBM) now sit at the chokepoint of the global AI buildout, with their products forming a critical bottleneck for data-center expansion. Investors and analysts expect memory shortages to last through 2027, giving them unusual pricing power over the world’s largest technology companies.

https://www.freemalaysiatoday.com/category/...1-trillion-club

PMX Kerja 💪 @ Permatang Pauh

ipohps3 — Tue, 26 May 2026 22:22:20 +0800

[twt]https://twitter.com/anwaribrahim/status/2059235224064561505[/twt]

AGI Is Here! AI Solved 80 yo Math Problem

ipohps3 — Tue, 26 May 2026 17:31:02 +0800

OpenAI announces AI’s biggest math breakthrough yet

A chatbot’s result for the 80-year-old “unit distance” conjecture is the first AI proof that would likely be published in math’s top journal if humans had done it alone

After 80 years of fruitless struggle by human mathematicians, a major geometry conjecture has at last been solved—via a straightforward query to a chatbot.

The company OpenAI, maker of ChatGPT, announced the result yesterday, together with comments from a number of experts, who declared the artificial intelligence’s method “clever” and “elegant.” The achievement follows months of loudly reported but less impressive AI-powered advances in mathematics and marks a true milestone. Unlike all those previous feats, this result would merit publication in a top math journal, as well as major media attention, even if it were performed by humans alone.

“No previous AI-generated proof has come close” to meeting those high standards, wrote Timothy Gowers, a mathematician at the University of Cambridge, in commentary solicited by OpenAI.

“This is the unique interesting result produced autonomously by AI so far,” says Daniel Litt, a mathematician at the University of Toronto, who was consulted by OpenAI to verify the proof but is not involved with the company.

The “unit distance” problem is simple to explain but formidable to solve—a mathematician’s favorite quality.

Draw nine dots on a sheet of paper. The goal is to get as many pairs of dots as possible to be an inch apart. You can put them all in a line so that you have eight pairs separated by an inch. Or you can draw a three-by-three grid and count 12 pairs. For any number of dots, even billions or trillions, the problem asks: What’s the highest number of pairs you can get?

In 1946 mathematician Paul Erdős made a guess at the best strategy. It was the grid approach but with a much smaller spacing between dots, so pairs could be established across several grid points. Erdős showed that by using sophisticated mathematics to choose this spacing extremely carefully, you could do slightly better than a simple grid—but only slightly.

In fact, Erdős claimed that no one could do better. And despite valiant efforts, for eight decades, no one did. But no one managed to prove him right either, even though most experts agreed with his intuition.

That changed two weeks ago, when the OpenAI team—some of whose members have made headlines recently for using AI to solve a number of less prestigious “Erdős problems”—fed the conjecture to an internal large language model (LLM) trained for general reasoning. They asked it whether Erdős was right. After churning out hundreds of pages of careful logic and calculations, it beat his long-standing record.

“It feels like magic,” Sawhney says. “It’s kind of an amazing experience to have a machine give back something which really resembles how I work.”

“What the model did is totally different from the ‘square grid’ construction,” Sellke says.

It instead constructed a more elaborate grid, one living in a kind of higher dimension. This higher-dimensional lattice of points had special mathematical symmetries that facilitate the separation of even more pairs by the same distance. The AI model then developed a way to map this otherworldly grid back down to the two-dimensional page, producing a flattened numerical “shadow.” The result is far from a grid, and Sawhney says it’s too difficult to actually draw on paper, even for a small number of dots.

The AI did not prove that its approach is the best anyone can do, though. In fact, mathematician Will Sawin has already improved upon the AI’s grid.

OpenAI privately contacted Litt, Sawin, Gowers and a number of other mathematicians to verify the LLM’s proof. Together (and without the company’s direct involvement), they wrote up their individual takeaways. (No external experts have seen the AI’s original output, however—just an edited version of its train of thought.)

What stood out, they said, was the AI’s preternatural patience and focus. Human experts, largely agreeing with Erdős’s thinking, had spent more effort over the years trying to prove rather than disprove the conjecture. And even those few who looked for a counterexample would be unlikely to follow such a difficult and tedious path—constructing this high-dimensional shape—without any enticing hint of success. But an LLM experiences the costs and benefits of trial and error differently.

“AIs have an edge: It’s not just that they can try all known methods,” says Jacob Tsimerman, a mathematician at the University of Toronto, who was not involved in the work but was part of the companion paper solicited by OpenAI. “They can play for longer and in more treacherous waters than mathematicians without getting overwhelmed.”

Several of the experts consulted by OpenAI noted that while the unit distance problem was well known, a proof that Erdős was right would have been far more mathematically rich than a counterexample. Such proofs usually necessitate totally new insights that can then be applied to a wider range of problems. The mathematical tools the AI used here are not novel, although their application in this domain appears to be. “The model did not invent something fundamentally new that nobody saw coming,” says Sébastien Bubeck, a mathematician leading OpenAI’s mathematical explorations. “It just executed like an amazing mathematician.”

The experts also hastened to add that, without humans intervening to “clean up” the AI’s work, the result wouldn’t be so convincing. “The human still plays a vital role in discussing, digesting, and improving this proof, and exploring its consequences,” wrote mathematician Thomas Bloom in the “reflections” document.

Harvard University mathematician Melanie Matchett Wood says humans’ progress was probably limited by their belief that the conjecture was true. If all the experts assembled after the fact to parse the LLM’s answer had instead spent the same time seeking a counterexample, she says, they would have found one. “Maybe people should be spending more time, you know, playing devil’s advocate,” says Wood, who had also provided a commentary for OpenAI.

This is plausible because the AI’s solution was, in hindsight, a straightforward approach that no human had ever attempted despite the fact that the tools had already existed. Such circumstances are thought to be uncommon for major unsolved math problems. “I guess it got lucky that it found one of the cases where experts tried and missed something,” Litt says. Genuinely new, groundbreaking ideas remain beyond the reach of current LLMs, instead leaving the machines to mine the literature for rare gems where humans missed a relatively simple approach. Even so, Litt adds, “my guess is we’re about to find out they’re actually not that rare.”

Wood also warns of AI’s less desirable traits as a mathematician, such as its tendency to present every idea as its own. “We recognized that there were very similar ideas in the literature that weren’t credited,” Wood says. “If a human had been familiar with those results and not credited them, then that would be professional malpractice.” She believes the community urgently needs to decide how to handle AI’s nonadherence to academic norms because things are changing fast.

“Any mathematician who hasn’t been using the latest models should be surprised,” Wood says. “It’s quite a different world than in December of last year.”

https://www.scientificamerican.com/article/...ans-are-amazed/

Rafizi Vs Zafrul @ Pandan Close Fight

ipohps3 — Mon, 25 May 2026 18:27:12 +0800

https://www.facebook.com/story.php?story_fb...100062852901119 ]

Zafrul Sudah Mula Kerja @ Pandan

ipohps3 — Mon, 25 May 2026 12:09:33 +0800

[twt]https://twitter.com/tzafrul_aziz/status/2058558883455737862[/twt]

Habislah... The Next Regime Change...

ipohps3 — Sun, 24 May 2026 23:37:14 +0800

Is much closer to home

"We Are Ready." Dai Dai

Thu, 01 Jan 1970 07:30:00 +0800

"We Are Ready." Dai Dai

ipohps3 — Sun, 24 May 2026 21:26:39 +0800

[YOUTUBE]fcnDmrtj6Sk[/YOUTUBE]

Habislah DAP... PAS Sudah Bersedia!

ipohps3 — Sun, 24 May 2026 14:02:09 +0800

[fbvtall]966328262829335[/fbvtall]