Author Dan Simmons, best known for the epic sci-fi novel Hyperion and its sequels, has died at 77 following a stroke. Ars Technica's Eric Berger remembers Simmons, writing: Simmons, who worked in elementary education before becoming an author in the 1980s, produced a broad portfolio of writing that spanned several genres, including horror fiction, historical fiction, and science fiction. Often, his books included elements of all of these. This obituary will focus on what is generally considered his greatest work, and what I believe is possibly the greatest science fiction novel of all time, Hyperion.

Published in 1989, Hyperion is set in a far-flung future in which human settlement spans hundreds of planets. The novel feels both familiar, in that its structure follows Chaucer's Canterbury Tales, and utterly unfamiliar in its strange, far-flung setting. Simmons' Hyperion appeared in an Ask Slashdot story back in 2008, when Slashdot reader willyhill asked for tips on how Slashdotters track down great sci-fi. If you're in the mood for a little nostalgia, or just want to browse the thread for book recommendations, it's well worth revisiting.

An anonymous reader shares a report: Weeks after the U.S. Congress rejected unprecedented cuts to science budgets that the administration of US President Donald Trump had sought for 2026, funding to several agencies that award research grants is still not freely flowing.

One reason is that the White House Office of Management and Budget (OMB) has been slow to authorize its release. The US National Institutes of Health (NIH) has so far not received approval to spend any of the research funding allocated in a budget bill signed into law on 3 February. The US National Science Foundation (NSF) was authorized to spend its funding just last week. And NASA has had its full funding authorized for release, but with an unusual restriction that limits spending on ten specific programmes -- many of which the Trump team had tried to cancel last year.

theodp writes: On Tuesday, Microsoft GM of Education and Workforce Policy (and former Code.org Chief Academic Officer) Pat Yongpradit posted an obituary of sorts for coders. "Computer programmers and software developers are codified differently in the BLS [Bureau of Labor Statistics] data," Yongpradit wrote. "The modern AI-infused world needs less computer programmers (coders) and more software developers (more holistic and higher level). So when folks say that there is less hiring of computer programmers, they are right. But there will be more hiring of software developers, especially those who have adopted an AI-forward mindset and skillset. [...] The number of just pure computer programming roles has already been declining due to reasons like outsourcing, AI will just accelerate the decline."

On Wednesday, Yongpradit's colleague Allyson Knox, Senior Director of Education and Workforce Policy at Microsoft, put another AI nail in the coder coffin, testifying before the House Committee on Education -- the Workforce Subcommittee on Early Childhood, Elementary, and Secondary Education on Building an AI-ready America: Teaching in the Age of AI. "Thank you to Chairman Tim Walberg, Ranking Member Bobby Scott, Chair Kevin Kiley, Ranking Member Suzanne Bonamici and members of the Subcommittee for the opportunity to share Microsoft perspective and that of the educators and parents we hear from every day across the country," Knox wrote in a LinkedIn post.

"Three themes continue to emerge throughout these discussions: 1. Educators want support to build AI literacy and critical thinking skills. 2. Schools need guidance and guardrails to ensure student data is protected and adults remain in control. 3. Teachers want classroom-ready tools, and a voice in shaping them. If we focus on these priorities, we can help ensure AI expands opportunity for every student across the United States."

Yongpradit and Knox report up to Microsoft President Brad Smith, who last July told Code.org CEO Hadi Partovi it was time for the tech-backed nonprofit to "switch hats" from coding to AI as Microsoft announced a new $4 billion initiative to advance AI education. Smith's thoughts on the extraordinary promise of AI in education were cited by Knox in her 2026 Congressional testimony. Interestingly, Knox argued for the importance of computer programming literacy in her 2013 Congressional testimony at a hearing on Our Nation of Builders: Training the Builders of the Future. "Congress needs to come up with fresh ideas on how we can continue to train the next generation of builders, programmers, manufacturers, technicians and entrepreneurs," said Rep. Lee Terry said to open the discussion.

So, are reports of computer programming's imminent death greatly exaggerated?

An anonymous reader quotes a report from The Register: Ballooning memory prices are forecast to kill off entry-level PCs, leading to a decline in global shipments this year -- and a similar effect is going to hit smartphones. Analyst biz Gartner is projecting a drop in PC shipments of more than 10 percent during 2026, and a decline of around 8 percent for smartphones, all due to the AI-driven memory shortage. Some types of memory have doubled or quadrupled in price since last year, and Gartner believes DRAM and NAND flash used in PCs and phones is set for a further 130 percent rise by the end of 2026.

The upshot of this is that the budget PC will disappear, simply because vendors won't be able to build them at a price that will satisfy cost-conscious buyers, according to Gartner research director Ranjit Atwal. "Because the price of memory is increasing so much, vendors lose the ability to provide entry-level PCs -- those below about $500," he told The Register. PC makers could just raise the price of their cheap and cheerful boxes to above that level to compensate for the memory hike, however, price-sensitive buyers simply won't bite, he added.

Another factor expected to add to declining fortunes of the PC industry this year is AI devices -- systems equipped with special hardware for accelerating AI tasks, typically via a neural processing unit (NPU) embedded in the CPU. These systems were predicted to take the market by storm, but they require more memory to support AI processing and vendors like to mark them up to a premium price. "Historically, downgrading specifications was the way to go when prices were being squeezed, but that's difficult here," Atwal said. "The thinking was that the average price [of AI PCs] would fall this year, and lead to more adoption," said Atwal, "but that's not happening." The lack of killer applications isn't helping either.