Chinese President Xi Jinping's three-day visit to Egypt, coinciding with the 70th anniversary of diplomatic relations between the two nations, marked his first trip to the Middle East in four years and the first to Egypt in a decade. The trip caused debate among geopolitical observers over Egypt's diplomatic balancing act between China, one of its largest economic partners, and the United States, a major defence and strategic partner. Xi's visit came at a time when Chinese tech giant Huawei has submitted a tender to build Egypt's AI data centres. The US, meanwhile, is reportedly pulling together an offer to counter Huawei's bid. Whoever wins the contract to build the data centres will also gain an opportunity to strengthen their political and economic ties with Egypt.

When you purchase through links in our articles, we may earn a small commission. Everyone assumed the Windows taskbar copied a rival OS. Many assumed NeXTSTEP inspired the Windows taskbar, but Microsoft veterans say its roots trace to a 1991 project called Cairo. In a recent social media thread, Microsoft veterans Brad Silverberg, Joe Belfiore, and Dave Plummer shared a few anecdotes and clarifications about how the taskbar became part of Windows. The taskbar, first introduced with Windows 95, allowed users to keep track of multiple active programs simultaneously, making it one of the highlight features of the cutting-edge operating system.

Iran condemns U.S. plans to announce new sanctions Iranian Parliament Speaker Mohammad Baqer Qalibaf stands with members of Iraq's Popular Mobilization Forces at the grave of Iraqi paramilitary commander Abu Mahdi al-Muhandis, who was killed alongside Iranian military commander Qassem Soleimani in a U.S. drone strike near Baghdad International Airport in January 2020, in Najaf, Iraq, on Friday. CAIRO/WASHINGTON - Iran on Saturday denounced U.S. plans to announce new sanctions that could put further strain on the Islamic Republic's economy and have an impact on its most important trading partners, including China. After nearly six months of war since the U.S. and Israel launched airstrikes against Iran on Feb. 28, the sides are not firing at each other but also showing no sign of pursuing peace talks. Oil shipments are at a virtual standstill in the Strait of Hormuz, with Tehran threatening to strike any unauthorized oil tankers that try to transit the vital waterway, and Iran's economy is already under immense pressure from sanctions. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

I don't see images in my head. Can training give me a mind's eye? Training programmes for people with aphantasia - the inability to create mental images - are challenging neuroscientists' understanding of how we create thoughts What do you see when you try to picture an apple? Last December, I closed my eyes and tried to visualise a potoo. This tropical bird has a "round, kind of pill-shaped head", my mental imagery coach described to me, and is covered with brown feathers. Its cartoonishly large mouth opens like a gaping smile to reveal a pink, fleshy colour, and its large irises can make its eyes seem entirely black.

Modern LLMs scale at test-time, e.g. via repeated sampling, where inference cost grows with model size and the number of samples. This creates a trade-off that pretraining scaling laws, such as Chinchilla, do not address. We present Train-to-Test ($T^2$) scaling laws that jointly optimize model size, training tokens, and number of inference samples under fixed end-to-end budgets. $T^2$ modernizes pretraining scaling laws with pass@$k$ modeling used for test-time scaling, then jointly optimizes pretraining and test-time decisions. Forecasts from $T^2$ are robust over distinct modeling approaches: measuring joint scaling effect on the task loss and modeling impact on task accuracy. Across eight downstream tasks, we find that when accounting for inference cost, optimal pretraining decisions shift radically into the overtraining regime, well-outside of the range of standard pretraining scaling suites. We validate our results by pretraining heavily overtrained models in the optimal region that $T^2$ scaling forecasts, confirming their substantially stronger performance compared to pretraining scaling alone. Finally, as frontier LLMs are post-trained, we show that our findings survive the post-training stage, making $T^2$ scaling meaningful in modern deployments.

We introduce Generalized Discrete Diffusion from Snapshots (GDDS), a unified framework for discrete diffusion modeling that supports arbitrary noising processes over large discrete state spaces. Our formulation encompasses all existing discrete diffusion approaches, while allowing significantly greater flexibility in the choice of corruption dynamics. The forward noising process relies on uniformization and enables fast arbitrary corruption. For the reverse process, we derive a simple evidence lower bound (ELBO) based on snapshot latents, instead of the entire noising path, that allows efficient training of standard generative modeling architectures with clear probabilistic interpretation. Our experiments on large-vocabulary discrete generation tasks suggest that the proposed framework outperforms existing discrete diffusion methods in terms of training efficiency and generation quality, and beats autoregressive models for the first time at this scale. We provide the code along with a blog post on the project page : \href{https://oussamazekri.fr/gdds}{https://oussamazekri.fr/gdds}.

Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Hollywood icon who starred in Psycho after Hitchcock dubbed her'my new Grace Kelly' looks incredible at 95 Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back Tucker Carlson erupts at Trump adviser as she hurls'SLANDER' claim linking him to synagogue shooting Ben Affleck'scores $600m deal' with Netflix to sell his AI film start-up Long hair over 45 is ageing and try-hard. I've finally cut mine off. Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' Before typos could be deleted with the press of a button, careless writers had to resort to sticky tubes of white Tippex to hide their errors. But archaeologists now say that clumsy scribes have been resorting to white-out for at least 3,000 years. Researchers from the Fitzwilliam Museum in Cambridge found that the Ancient Egyptians used a white pigment to amend their papyrus paintings.