Years of layering new tools on old infrastructure has left enterprise IT brittle and fragmented. For decades, enterprises reacted to shifting business pressures with stopgap technology solutions. To rein in rising infrastructure costs, they adopted cloud services that could scale on demand. When customers shifted their lives onto smartphones, companies rolled out mobile apps to keep pace. And when businesses began needing real-time visibility into factories and stockrooms, they layered on IoT systems to supply those insights. Each new plug-in or platform promised better, more efficient operations.

PCWorld reports that Valve's Steam Machine launch faces delays and increased costs due to industry-wide memory and storage shortages affecting component availability. RAM prices have surged significantly, potentially increasing PC costs by 20%, forcing Valve to consider subsidizing the device to remain competitive. The Steam Machine targets 4K/60FPS performance using AMD's FSR technology and will feature user-upgradeable SSD and RAM for flexibility. I had a feeling this was coming. While Valve has never confirmed the price of its hotly anticipated Steam Machine revival, the specs of the tiny, console-style PC indicated something cheaper than a full gaming desktop--and its exact price will be crucial to its success . But a bit of info hidden in a new FAQ page indicates that even Valve is sweating about the price as much as the rest of us are. "When we announced these products in November, we planned on being able to share specific pricing and launch dates by now," says the FAQ . "But the memory and storage shortages you've likely heard about across the industry have rapidly increased since then."

Breakthroughs, discoveries, and DIY tips sent six days a week. When it comes to physical currency, it's tough to beat Australia's brightly colored paper bills. Those hues are also extending to special edition $1 coins commemorating the Australian winter athletes and parathletes competing in the 2026 Milan Cortina Olympics in Italy. Royal Australian Mint chief executive officer Emily Martin told Yahoo Finance Australia that these limited-edition coins honor the skill and perseverance of the nation's athletes. "Each coin beautifully captures the passion and resilience of both Australian teams, and we're excited for collectors and fans to share in this journey with us," Martin said .

The US and Iran have agreed to hold nuclear talks in Oman on Friday, as President Donald Trump issued a blunt warning to Supreme Leader Ayatollah Ali Khamenei. Iranian Foreign Minister Abbas Araghchi said that the meeting would start at 10:00 (06:00 GMT) in Muscat. US officials also confirmed it would happen there. The talks had appeared to be in jeopardy, with the two countries at odds over the location and parameters. Trump has built up US forces in the region and threatened military action if Iran does not agree a deal on its nuclear programme and stop killing protesters.

In 1916, hybrid cars could've changed history. But Ford wouldn't allow it. Henry Ford's monopoly on the automobile industry meant that hybrids wouldn't see the light of day for decades. In 1916, Clinton Edgar Woods, a forgotten automobile inventor, designed the first commercial hybrid cars. But Ford's Model T had already cornered the market.

What the hell is Moltbook, the social network for AI agents? What happens when you let the AI slop pretend to be human. The Moltbook mascot is a lobster with an alien head that might look a little familiar. Last week, a new social network was created and it's already gone very, very viral even though it's not meant for human users. I'm talking, of course, about Moltbook, a Reddit-like platform that's populated entirely by AI agents.

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Plus: Anthropic's new tools are freaking out the markets Every time OpenAI, Google, or Anthropic drops a new frontier large language model, the AI community holds its breath. It doesn't exhale until METR, an AI research nonprofit whose name stands for "Model Evaluation & Threat Research," updates a now-iconic graph that has played a major role in the AI discourse since it was first released in March of last year. The graph suggests that certain AI capabilities are developing at an exponential rate, and more recent model releases have outperformed that already impressive trend. That was certainly the case for Claude Opus 4.5, the latest version of Anthropic's most powerful model, which was released in late November. In December, METR announced that Opus 4.5 appeared to be capable of independently completing a task that would have taken a human about five hours--a vast improvement over what even the exponential trend would have predicted. But the truth is more complicated than those dramatic responses would suggest.

Experts worry it will be used to further Robert F. Kennedy Jr.'s anti-vaccine agenda. Get your news from a source that's not owned and controlled by oligarchs. The US Department of Health and Human Services (HHS) is developing a generative artificial intelligence tool to find patterns across data reported to a national vaccine monitoring database and to generate hypotheses on the negative effects of vaccines, according to an inventory released last week of all use cases the agency had for AI in 2025. The tool has not yet been deployed, according to the HHS document, and an AI inventory report from the previous year shows that it has been in development since late 2023. But experts worry that the predictions it generates could be used by HHS secretary Robert F. Kennedy Jr. to further his anti-vaccine agenda.

Clustering models constitute a class of unsupervised machine learning methods which are used in a number of application pipelines, and play a vital role in modern data science. With recent advancements in deep learning-- deep clustering models have emerged as the current state-of-the-art over traditional clustering approaches, especially for high-dimensional image datasets. While traditional clustering approaches have been analyzed from a robustness perspective, no prior work has investigated adversarial attacks and robustness for deep clustering models in a principled manner. To bridge this gap, we propose a blackbox attack using Generative Adversarial Networks (GANs) where the adversary does not know which deep clustering model is being used, but can query it for outputs. We analyze our attack against multiple state-of-the-art deep clustering models and real-world datasets, and find that it is highly successful. We then employ some natural unsupervised defense approaches, but find that these are unable to mitigate our attack. Finally, we attack Face++, a production-level face clustering API service, and find that we can significantly reduce its performance as well. Through this work, we thus aim to motivate the need for truly robust deep clustering models.