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The Washingtonian: “The Washington Post Is Using Reader Data to Set Subscription Prices. How Does That Work? Some subscribers recently received a heads-up that they’re on the hook for a new rate “set by an algorithm using your personal data.” We asked a UVA expert what that might mean. If recent events have not compelled …
Data Dashboard – Reuters Climate Monitor – How today’s temperatures compare to the historic average – Updates daily – The Reuters Climate Monitor shows where temperatures are unusually hot or cold in real time by comparing today’s conditions with what was typical in the past. We start by establishing what normal used to look like. Using …
The Drey Dossier: “…Login.gov is open source, which means the government publishes its code in the open for anyone to read, so I read it, and I walked the recent changes, since every edit gets posted in public with a date stamped on it. Over the last couple of months somebody added a new piece …
The Atlantic – How companies are gaming the chatbot internet [Gift Article]: “…For the quarter century that Google has been the de facto front door to the web, businesses have tried to find ways to get their pages at the top of search results. You’ve surely felt the influence of search-engine optimization, even if you …
CNN Reliable Sources: “Inside the White House Freakout Over the Epstein Files” is the title of Maggie Haberman and Jonathan Swan’s explosive excerpt from their forthcoming book “Regime Change.” Now comes the freakout over the “freakout” article. The New York Times published the “Regime Change” excerpt at 6 a.m. ET today, and it immediately intensified …
Pew Research: Nine groups show the conflicting values underlying today’s polarized politics. American politics is deeply divided along partisan lines – and for many Americans, the choice between the two parties feels stark, even existential. But beneath that familiar red-blue partisan divide is a much more nuanced picture: Many Americans hold a complex mix of …
boingboing: “After we posted about Pawmometer, the free site that reads live weather to flag pavement hot enough to burn a dog’s paws, reader Chris Fiegel wrote in to say he’d built a phone-sized take on the idea. His iOS app, NorthPaw, computes what it calls a “NorthPaw Index” from your dog’s specific biology — …
MakeUseOf – my battery lasts noticeably longer now – “It is easy to assume your smartphone is resting peacefully in your pocket when you aren’t using it, but it is usually working overtime. Silent battery drain is one of the most common issues for phones today. You need to review your app permissions and disable features …
Byte-Pulse: “Anthropic has rolled out Claude Fable 5, positioning it as their most potent AI model yet. They claim that Fable excels in areas like cybersecurity and scientific research, making it a versatile tool for businesses and researchers alike. However, early user feedback paints a different picture, particularly highlighting the model’s struggles with fundamental biology …
Bloomberg: The White House’s Top Science Goal Is Ignorance: “The administration’s actions are seen as a deliberate attempt to stifle science and ignore the reality of climate change, in order to support the fossil-fuel industry and satisfy the climate denialism of Trump’s base. Shutting down scientific inquiry because it discovers things you don’t like is …
Update – “President Donald Trump signed the Secure America Act, Republicans’ flagship immigration bill greenlighting $70 billion to fund federal immigration enforcement agencies for the rest of his term. The package to pay for Immigration and Customs Enforcement and Customs and Border Protection passed out of Congress in the last week after months of debate …
Platformer: “Brookings Institution researcher Molly Kinder on why she’s leaving her job to create solution for AI’s “messy middle.” Molly Kinder has spent the past three years at the Brookings Institution leading a multiyear project on how generative AI is transforming work. In a recent widely discussed essay, she predicted the coming of what she …
