In celebrating 1 trillion web pages archived, the Internet Archive is proud to honor the visionary who made it all possible. As announced in The New Yorker, the 2025 Internet Archive Hero Award was presented to Sir Tim Berners-Lee, the inventor of the World Wide Web. Sir Tim’s groundbreaking work opened the door to a connected world and laid the foundation for our shared digital history.

Sir Tim was presented the award during a discussion at the Commonwealth Club of California on October 9. The conversation, “Building and Preserving the Web: A Conversation with Sir Tim Berners-Lee and Brewster Kahle,” was guided by Lauren Goode (Wired), and is now available for listening & download as an episode of the Future Knowledge podcast.

Listen to Sir Tim Berners-Lee and Brewster Kahle:

Sir Tim’s invention transformed how humanity shares knowledge, and his ongoing advocacy for an open and accessible web that empowers individuals continues to inspire us. We’re thrilled to recognize his enduring contributions as we mark this historic achievement for the web.

Watch the video from our celebration on October 22:

The Internet Archive Hero Award is an annual award that recognizes those who have exhibited leadership in making information available for digital learners all over the world. Previous recipients have included the island nation of Aruba, public information advocate Carl Malamud, copyright expert Michelle Wu, and the Grateful Dead.

Today we’re launching text-based intelligence classifiers, a powerful new way to train NewsBlur to show you exactly what you want to read. You’ve always been able to train NewsBlur’s intelligence using story titles, authors, tags, and publishers. Now you can train on any phrase that appears in the full text of a story. This feature is available exclusively to NewsBlur Premium Archive subscribers.

Text-based classifiers work just like the intelligence training you’re already familiar with. Find a phrase you care about, mark it as something you like or dislike, and NewsBlur will automatically highlight or hide future stories containing that phrase. Stories with phrases you like are marked with a green focus indicator, while stories with phrases you dislike are hidden unless you choose to view them.

How to use text-based classifiers

Reading a story and spot a phrase you want to see more of? Simply select the text with your mouse or trackpad, then click the “Train” button that appears.

This opens the intelligence trainer where you can mark the selected text as something you like (thumbs up) or dislike (thumbs down). The text classifier appears at the top of the trainer dialog, ready for you to train.

Once you’ve trained a text phrase, NewsBlur will automatically scan the full text of every story from that feed. Stories containing your phrase will be highlighted with a green focus indicator in your story list, making them easy to spot. You can also see the phrase highlighted throughout the story content itself.

Real-world examples

Text-based classifiers shine when you subscribe to broad-interest feeds but only care about specific topics. Here are some examples:

• Subscribe to a food blog that covers everything, but only want to read about vegan recipes? Train on “vegan” and similar terms.
• Reading a tech blog that writes about many frameworks, but you only want stories about your favorite language? Train on that language name.
• Following a news site with mixed content, but only interested in stories about a specific region or topic? Train on location names or topic keywords.

Since text classifiers work on the full article text and not just titles, they catch stories that might not mention your interest in the headline but discuss it in depth within the article.

Green always wins

Just like with other intelligence classifiers, green (focus) always wins. If a story matches both a phrase you like and a phrase you dislike, NewsBlur will mark it as focus and show it in your unread count. This ensures you never miss a story about something you care about, even if it also contains topics you’re less interested in.

You can view your focus stories by choosing between Unread and Focus at the bottom of the feed list. Set it to Focus to show only green stories and see everything NewsBlur knows you want to read.

Why Premium Archive only?

Text-based classifiers require scanning the full article content of every story, not just the RSS feed excerpt. The Premium Archive subscription ensures every story is fetched, archived, and available for full-text search and classification. This means your text classifiers work on every story from every feed you subscribe to, with no gaps in coverage.

The Premium Archive subscription also includes unlimited story archiving, the ability to mark any story as unread forever, full-text search across your entire archive, and the discover stories feature for finding related content across all your feeds.

Available now on the web

Text-based classifiers are available now to all Premium Archive subscribers on the web. Simply highlight any phrase in a story, click the “Train” button, and start training. iOS and Android support is coming soon.

If you’re not yet a Premium Archive subscriber and want to unlock text-based intelligence training along with unlimited archiving and advanced search, you can upgrade directly on the web.

As always, we’d love to hear your feedback on the NewsBlur forum. For every person who shares their thoughts, there are a dozen others thinking the same thing, so your input helps shape where NewsBlur goes next.

Signal has just rolled out its quantum-safe cryptographic implementation.

Ars Technica has a really good article with details:

Ultimately, the architects settled on a creative solution. Rather than bolt KEM onto the existing double ratchet, they allowed it to remain more or less the same as it had been. Then they used the new quantum-safe ratchet to implement a parallel secure messaging system.

Now, when the protocol encrypts a message, it sources encryption keys from both the classic Double Ratchet and the new ratchet. It then mixes the two keys together (using a cryptographic key derivation function) to get a new encryption key that has all of the security of the classical Double Ratchet but now has quantum security, too.

The Signal engineers have given this third ratchet the formal name: Sparse Post Quantum Ratchet, or SPQR for short. The third ratchet was designed in collaboration with PQShield, AIST, and New York University. The developers presented the erasure-code-based chunking and the high-level Triple Ratchet design at the Eurocrypt 2025 conference. At the Usenix 25 conference, they discussed the six options they considered for adding quantum-safe forward secrecy and post-compromise security and why SPQR and one other stood out. Presentations at the NIST PQC Standardization Conference and the Cryptographic Applications Workshop explain the details of chunking, the design challenges, and how the protocol had to be adapted to use the standardized ML-KEM.

Jacomme further observed:

The final thing interesting for the triple ratchet is that it nicely combines the best of both worlds. Between two users, you have a classical DH-based ratchet going on one side, and fully independently, a KEM-based ratchet is going on. Then, whenever you need to encrypt something, you get a key from both, and mix it up to get the actual encryption key. So, even if one ratchet is fully broken, be it because there is now a quantum computer, or because somebody manages to break either elliptic curves or ML-KEM, or because the implementation of one is flawed, or…, the Signal message will still be protected by the second ratchet. In a sense, this update can be seen, of course simplifying, as doubling the security of the ratchet part of Signal, and is a cool thing even for people that don’t care about quantum computers.

Also read this post on X.

Philadelphia culture has become inescapable in certain corners of the internet. People who spend substantial time online report developing knowledge of the city's cultural touchstones and forming opinions about its regional debates despite minimal or no physical presence there, according to a new report. The phenomenon has prompted a theory: prolonged exposure to these digital spaces can make someone spiritually and culturally Philadelphian regardless of geography. Several factors explain Philadelphia's outsized online presence. The city is large but retains a small-town sensibility. Its residents wake earlier than West Coast users and can set the daily online agenda. Philadelphia sports teams have performed well for twenty-five years. The internet rewards visual absurdity and energetic presentation. Gritty functions as both hockey mascot and anti-fascist meme. The city's working-class union identity and reliably anti-Trump stance align with leftist online communities. The alternative explanation is simpler: Philadelphians believe their city dominates conversation and find confirming evidence everywhere they look. The internet may not have made Philadelphia bigger. It may have just made Philadelphians easier to find.

Read more of this story at Slashdot.

Recent updates in the Insider Preview Build show that Microsoft is tightening restrictions on Windows 11 setup, fully blocking remaining methods to bypass Microsoft account requirements during the initial installation. In the latest preview builds, the company disabled previous workarounds such as registry edits and the start ms-cxh:localonly command, which allowed users to create local accounts during the out-of-the-box experience.

From now on, users will need an active internet connection and a Microsoft Account to complete installation, with no option to create local accounts during setup. Microsoft says removing local-only methods prevents skipped configuration steps and ensures devices are properly set up and secure. This change is part of the company’s broader “Local-only commands removal” initiative, reinforcing that bypassing account creation could lead to incomplete setups or potential security issues.

While casual users have no remaining simple bypasses, advanced users can still configure local accounts by editing the Windows image before installation through an unattended setup, a complex method unsuitable for most. Microsoft also added a small customization option to rename the default user folder during OOBE using the SetDefaultUserFolder.cmd command, offering limited personalization within the now mandatory online setup process.

View article on AlternativeTo »

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