Technology

Amazon says “objects” struck a data center in its UAE region (ME-CENTRAL-1), throwing sparks and starting a fire. Almost certainly due to the ongoing war.

Separately, another data center is offline due to a "localized power issue."

Australia’s internet regulator said it may push search engines and app stores to block artificial intelligence services that fail to verify user ages after a Reuters review found more than half had not made public any steps to comply by a deadline next week.

Ho appena acquistato una chiave di Windows 11 Pro da Digitlogs per 13 dollari e si è attivata correttamente. Mi aspettavo un po' di ritardo, ma la chiave è stata recapitata immediatamente via email. Per ora sembra tutto a posto.

Se hai acquistato da Digitlogs, fammi sapere la tua esperienza!

Mar 01 9:41 AM PST

We want to provide some additional information on the power issue in a single Availability Zone in the ME-CENTRAL-1 Region. At around 4:30 AM PST, one of our Availability Zones (mec1-az2) was impacted by objects that struck the data center, creating sparks and fire. The fire department shut off power to the facility and generators as they worked to put out the fire. We are still awaiting permission to turn the power back on, and once we have, we will ensure we restore power and connectivity safely. It will take several hours to restore connectivity to the impacted AZ. The other AZs in the region are functioning normally.

On Friday afternoon, Anthropic learned that the Pentagon still wanted to use the company’s AI to analyze bulk data collected from Americans. That could include information such as the questions you ask your favorite chatbot, your Google search history, your GPS-tracked movements, and your credit-card transactions, all of which could be cross-referenced with other details about your life. Anthropic’s leadership told Hegseth’s team that was a bridge too far, and the deal fell apart.

I recently read about a study asking a bold question: Are all AI models basically saying the same thing? Researchers tested this by collecting 26,000 open-ended prompts, the kind people give to systems like GPT-4, Gemini, Claude, and LLaMA. These weren’t factual questions with one right answer, but creative ones like “Write a story about a dragon” or “Brainstorm startup ideas.”

They evaluated over 70 language models. You’d expect a wide range of creative outputs—different tones, plots, and styles. If 70 human writers tackled the same dragon prompt, you’d likely get 70 unique stories. But that’s not what happened. The models produced surprisingly similar responses. The researchers call this the “artificial hive mind” effect.

The similarity appeared in two ways. First, intramodel repetition: the same model, asked the same question multiple times, tends to generate nearly identical answers. Second, intermodel homogeneity: different models, built by different companies, still converge on strikingly similar outputs.

This suggests that modern AI systems may be gravitating toward the same patterns of expression. If that’s true, they may also share the same biases, blind spots, and creative limits. It raises an important question: Are we unintentionally building a digital hive mind instead of a diverse ecosystem of intelligence?

Closer to the year of the linux desktop.
Edit: replaced the aislop link with the original (which is actually from april 2025).

"Precision fermentation involves inserting a DNA sequence into microbes to teach them to produce specific molecules when fermented – in The Every Co’s case, these include proteins conventionally found in chicken eggs.

The company’s OvoPro ingredient can replace egg whites’ functionality in a range of applications, and OvoBoost is a highly soluble, taste- and texture-neutral protein equivalent to glycoprotein. In addition, it has developed an animal-free pepsin that acts as a digestive protein. Each has been approved for sale by the US Food and Drug Administration."

cross-posted from: https://lemmy.zip/post/59925291

The system can function in air with 20% humidity or less. But these 1,000 liter a day machines are not small, at around shipping container size.

The opposition appeared overwhelming: Tens of thousands of emails poured into Southern California's top air pollution authority as its board weighed a June proposal to phase out gas-powered appliances. But in reality, many of the messages that may have swayed the powerful regulatory agency to scrap the plan were generated by a platform that is powered by artificial intelligence.

Public records requests reviewed by The Times and corroborated by staff members at the South Coast Air Quality Management District confirm that more than 20,000 public comments submitted in opposition to last year's proposal were generated by a Washington, D.C.-based company called CiviClick, which bills itself as "the first and best AI-powered grassroots advocacy platform."

A Southern California-based public affairs consultant, Matt Klink, has taken credit for using CiviClick to wage the opposition campaign, including in a sponsored article on the website Campaigns and Elections. The campaign "left the staff of the Southern California Air Quality Management District (SCAQMD) reeling," the article says.