News from Apple’s Podcasts for Creators site, regarding new features in the iOS 26.2 beta releases:

When you supply chapters in your episode description or in your RSS feed, they display in Apple Podcasts. If you submit chapters through your hosting provider, you can include images. For shows in English, when chapters aren’t provided, Apple Podcasts generates them for you and an “Automatically created“ label appears in the chapter list. If you prefer not to use automatically created chapters, you can disable this feature in Apple Podcasts Connect. Learn more about chapters.

It’s unclear to me whether this feature is actually exclusive to iOS/iPhone, or will be available across Apple’s 26.2 OS releases. This strikes me as a great use of AI, but I also think most multi-topic podcasts should include human-created chapters.

I'm worried that they put co-pilot in Excel because Excel is the beast that drives our entire economy and do you know who has tamed that beast?

Brenda.

Who is Brenda?

She is a mid-level employee in every finance department, in every business across this stupid nation and the Excel goddess herself descended from the heavens, kissed Brenda on her forehead and the sweat from Brenda's brow is what allows us to do capitalism. [...]

She's gonna birth that formula for a financial report and then she's gonna send that financial report to a higher up and he's gonna need to make a change to the report and normally he would have sent it back to Brenda but he's like oh I have AI and AI is probably like smarter than Brenda and then the AI is gonna fuck it up real bad and he won't be able to recognize it because he doesn't understand Excel because AI hallucinates.

You know who's not hallucinating?

Brenda.

— @belligerentbarbies, on TikTok

Tags: generative-ai, ai, excel, hallucinations, llms, tiktok, ai-ethics

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.

💬 Join the discussion on kottke.org →

Think about what you did this morning. You woke up, brushed your teeth, made coffee, maybe scrolled your phone, maybe drove the same route to work that you do every day. How many of those things did you actually think about? According to new research, probably none. Scientists say nearly nine out of every ten daily actions happen on autopilot, with our brains running the show long before conscious thought gets involved.

The study, published in Psychology & Health, tracked 105 people for a week. Participants were pinged six times a day and had to report what they were doing, along with how deliberate or automatic it felt.

Across more than 3,700 reports, researchers found that 88 percent of behaviors were carried out automatically, while about two-thirds were triggered by habit rather than decision-making.

Lead researcher Amanda Rebar, an associate professor at the University of South Carolina, explained that this automation shows up in two ways.

“Habitual instigation occurs when environmental cues automatically trigger the decision to do something, like reaching for your phone when you hear a notification. Habitual execution happens when you perform an action smoothly without thinking about the mechanics, such as brushing your teeth or driving a familiar route,” she said in a statement.

Most people like to imagine themselves as rational actors, carefully weighing each choice they make. In practice, the study shows, life is closer to a string of well-worn loops. And those loops don’t vary much. Age, gender, and relationship status had no real effect on how habitual someone’s behavior looked.

One exception was exercise. People were more likely to start workouts based on cues, which could mean a reminder on their phone or a regular time of day, but still had to engage consciously once they got moving. Running, lifting, or cycling doesn’t complete itself, even if the decision to start feels automatic.

Habits, it turns out, often line up with what people want. Almost half of all reported behaviors were both intentional and automatic, while only a small fraction clashed with someone’s goals. That makes habits a surprisingly strong ally for anyone hoping to change.

Benjamin Gardner, a psychology professor at the University of Surrey and co-author of the study, said strategies for habit formation are more effective than willpower alone.

“For people who want to break their bad habits, simply telling them to ‘try harder’ isn’t enough,” he said. Building cues for healthier choices—or dismantling the ones tied to unhelpful patterns—might be the clearest path to change.

Most of what you do today will unfold without much thought. The trick, researchers suggest, is shaping those automatic moments to get you one step closer in the direction you actually want to go.

The post You’re Running on Autopilot Way More Often Than You Think appeared first on VICE.

ChatGPT Is Blowing Up Marriages as Spouses Use AI to Attack Their Partners

The tension in the vehicle is palpable. The marriage has been on the rocks for months, and the wife in the passenger seat, who recently requested an official separation, has been asking her spouse not to fight with her in front of their kids. But as the family speeds down the roadway, the spouse in the driver’s seat pulls out a smartphone and starts quizzing ChatGPT’s Voice Mode about their relationship problems, feeding the chatbot leading prompts that result in the AI browbeating her wife in front of their preschool-aged children.

Tags: ai, generative-ai, chatgpt, llms, ai-ethics, ai-personality