Sometimes people just want to post to their followers, Bluesky says.

Longtime Slashdot reader dhartshorn writes: Foreign-produced "bulk power" equipment is now effectively banned, and the list of what constitutes such equipment is essentially everything used to make up the grid... much of which we are heavily dependent on foreign sources to supply. In a Wednesday executive order, President Trump said foreign supply of electric equipment "constitutes an unusual and extraordinary threat" to national security. The Hill reports: Under the order, it will be up to Energy Secretary Chris Wright, in coordination with other officials, to determine whether a piece of equipment poses an issue. The order could impact a wide range of equipment, including substations, transformers, batteries used for energy storage, generators, turbines, software and more. It does not lay out specific threats or single out any country by name. [...] Under the last Trump administration, the president put a similar order in place. The new order comes amid several reported cyberattacks on U.S. water systems, which officials suspect have links to Iran, according to The New York Times.

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The Information reported on Wednesday that Nvidia has agreed to buy open-source platform Hugging Face for $12.9 billion. "Deal talks began after Hugging Face, an open-source AI platform developers use to collaborate, test and share tools, received acquisition interest from another suitor," reports CNBC, citing the (paywalled) report. Business Insider separately reported the acquisition talks. From CNBC: If completed, the acquisition would put one of the most widely used platforms for sharing and working with open-source AI models under Nvidia's ownership, expanding the chipmaker's reach further into the software and model ecosystem. Siddy Jobe, a fund manager at Eonopolis Exponential Technologies funds, said it made sense for Nvidia to target a company like Hugging Face, as Nvidia has made it clear that it is not looking to discriminate between closed and open-source models. "I think Nvidia is very much a community, a platform-based company, and in that respect, I think Hugging Face fits perfectly within that. There is this five-layer cake from Nvidia, and foundational models are one of them," Jobe told CNBC's Squawk Box Europe on Thursday. "It is clear that Nvidia wants to be integrated in the entire stack vertically, going from energy to foundational models and also to applications," he added.

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Gemini Omni 1.1 Flash brings a new suite of creative controls and generative video capabilities to developers.

An anonymous reader quotes a report from Ars Technica: Operation Bluebird, the Virginia-based startup trying to revive the allegedly abandoned "Twitter" name and logo, announced Monday that it has launched its new social media network: Twitter.now. "We are a small company, we have investors, and we have a product," Stephen Coates, one of Operation Bluebird's cofounders, told Ars. "And we have waited months and months to launch, and we are not going to wait anymore." [...] Twitter.now, still in its nascent stage, only has hundreds of users for the time being. The social media network looks and feels much like the Twitter of old and many of its offshoots -- it has replies and retweets. A new and notable feature is the automated fact-checking tool, a Gemini-based "veracity engine for real-time analysis" ("Vera" for short), which runs on every tweet. Coates has been testing Vera in recent days by posting obviously false messages, like "George Washington was our second president." "Our first goal is to see if we can truly bring back a town square that's safer and less harmful," he said. "We say freedom of speech and not freedom of reach. We want people to say what they want, but we also want to create a platform that's not financially locked into that viral content that's harmful or inaccurate." Operation Bluebird argues that Elon Musk effectively abandoned the Twitter brand and trademarks when he renamed the company X, opening the door for the startup to claim them. X Corp. sued to stop the effort, but a federal judge tentatively ruled in April that X appeared to have relinquished rights to "tweet," the bird logo, and possibly "Twitter" itself, though no written ruling has been issued. Bluebird has taken that as enough of a green light to move forward while emphasizing that its new Twitter is not affiliated with X. "Operation Bluebird, Inc. picked up the name X Corp. walked away from and is rebuilding it on trust, in your browser at twitter.now," it states prominently on its website. "We are not X, and we are not affiliated with X Corp."

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GeekWire is profiling over the next few weeks some of the people and teams that are shaping the evolution of Microsoft in what we’re calling its “Microsoft 2.5” era.

From AI Frontier Lab to Frontier Ecosystem: Microsoft got a foothold in AI thanks largely to its partnership with OpenAI. But that’s not the way it is planning to continue growing its AI business.

Inside Microsoft AI (MAI), the Microsoft Superintelligence team is focused almost entirely on building its own frontier-level models. That team already has developed a handful of home-grown offerings, including MAI-Code-Flash for writing code faster; MAI-Cyber-Flash, a cybersecurity model; and MAI-Image, a model for creating images.

The head of the Superintelligence team is Ali Farhadi, corporate vice president of AI. Farhadi, who joined Microsoft five months ago, is also a professor at the University of Washington, where he has worked for nearly 15 years. He was previously CEO of the Allen Institute for AI (Ai2) and before that was an AI and machine learning leader at Apple for more than three years, after it acquired his startup, Xnor.ai.

When he joined Microsoft, Farhadi said in a LinkedIn post that he believed “Microsoft has all the pieces to win in this AI race: data, search, coding, infrastructure, agents, software and the world’s biggest Fortune 500 companies taking dependencies on Microsoft every day.”

Farhadi elaborated on that in an interview with GeekWire this week. AI is shifting from a “Frontier Lab” era to a “Frontier Ecosystem” era, he said. It’s no longer just about training models; it’s about integrating the models with enterprise data, platforms, distribution systems and customers in a trusted way.

The next battlegrounds in AI will be around cost, reliability, specialization, and deployment at scale, rather than simply building larger models that beat others in benchmark scores, he said.

“If you look around, there are not that many places to have all these missing pieces together at scale, especially if you add the element of trust to it,” Farhadi said.

Cutting through the AI noise: Farhadi said his management philosophy is grounded in the importance of personal relationships, which are especially key in big organizations. People need to understand your rationale and to trust you can deliver on what you’re tasked to do, he said — an approach that has served him inside both Microsoft and Apple.

Staying on top of the flow of information while filtering out the AI noise makes prioritizing crucial. The team has “a long list of things that we believe we should be doing,” he said, but much of it stays on the back burner to maintain a “laser focus on delivering on the main mission.”

The priority is building high-quality models, both generalist and domain-specific. On the domain-specific front, Microsoft is working with the Mayo Clinic on a healthcare-specific model based on Mayo’s own clinical data, as well as Microsoft’s cybersecurity and coding models.

The thinking: For a lot of enterprise work, a narrower model beats a bigger one.

“If you can do something at [the same] quality or better quality at a fraction of a cost, it’s just a no-brainer. And having a way to specialize to domains, to industries, to enterprises is one way,” he said.

Microsoft execs have referred to this approach as a “hill-climbing machine,” meaning the ability of a model to scale and continuously improve within a specific domain. Microsoft is coupling the hill-climbing with “frontier tuning,” like it is doing with the Mayo Clinic. Frontier tuning includes customizing frontier models; keeping proprietary data private, preserving institutional know-how; and avoiding leaking intellectual property (IP) into shared models.

“We all thought that IP is your data,” Farhadi said. “But we learned that IP is also how you work.” And that’s why safeguarding these elements is so crucial.

Open all the things? Farhadi led an expansion of open-source AI development at Ai2, the Seattle-based institute founded in 2014 by the late Microsoft co-founder Paul Allen. While Microsoft has contributed to the open-source community on various fronts, including AI tooling, it hasn’t open-sourced its frontier models.

Farhadi said he personally remains “a big advocate of open source,” but noted that the industry has changed since his Ai2 days as there are now more credible Western open-source models and businesses forming around them.

He didn’t rule out Microsoft doing something in open-source models, or the somewhat less-open “open weights” area, but there’s seemingly nothing happening on that front in the near term.

In the coming months and beyond, the focus of Farhadi’s team is helping Microsoft turn into a Frontier Ecosystem by building cutting-edge AI capabilities; helping enterprises create their own tuned versions of them; continuously improving models; and making sure customers keep control of their own destinies and data.

Success for Microsoft’s Superintelligence team has nothing to do with the idea of Artificial General Intelligence (AGI) which OpenAI, Anthropic and others have positioned as their ultimate goal over the years. In fact, when I asked Farhadi about AGI, he said, “I don’t understand what that means.”

Don’t worry, Ali. You’re not the only one.