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Overcast Celebrates Its Tenth Anniversary with a Redesigned Interface

Overcast has long been my favorite podcast player on iOS and iPadOS with its beautifully simple user interface that complements a great audio engine. Today, developer Marco Arment is celebrating Overcast’s tenth anniversary with the release of a new version featuring a user interface that’s been rewritten from the ground up.

From the app’s main screen to playlist and podcast pages, show notes, chapters, and search, this new version of Overcast looks completely modern, and it feels fast. But at the same time, the app remains true to itself and retains a familiar look, with no drastic visual changes that would disorient its long-time users.

The app’s revamped player is perhaps my favorite aspect of this fresh coat of paint. There, you can still find the app’s landmark audio features, Voice Boost and Smart Speed, but the player’s sections have been reorganized to create a clearer overall layout. Chapters have been moved to a separate view, with more space on each line for longer chapter titles. Episode notes, on the other hand, can be toggled on and browsed through with the player controls still accessible at the bottom of the screen.

The new player also comes with a great quality-of-life addition: when skipping chapters or seeking through an episode, a ‘Go Back’ button now appears briefly on top of the podcast artwork. Tapping this button immediately returns you to your previous position. This is essentially an ‘undo’ function for accidental taps within the player view. (If you unintentionally scrub the player on your iPhone Lock Screen, you can quickly open the app and go back as well.) I never realized that I needed this feature in a podcast player until now.

Overcast's new player. Notice the 'Go Back' button (left) that appears when skipping chapters or seeking through an episode.

Overcast’s new player. Notice the ‘Go Back’ button (left) that appears when skipping chapters or seeking through an episode.

In addition to iOS, Overcast shines on iPadOS. The app now utilizes the iPad’s wider screen in a way that I wish more iPad apps would: by presenting a great three-pane layout. The app’s main screen resides in the leftmost pane, the middle section is reserved for subsections like podcast pages, and the player can be found on the right. This left-to-right hierarchical layout subtly reminds me of the official Twitter app that launched on the iPad about 14 years ago.

The new Overcast on iPad.

The new Overcast on iPad.

With this release, Overcast no longer has the ability to stream podcast episodes. Instead, episodes must be downloaded before you can start listening to them. In my experience using the new version of the app, this hasn’t bothered me. Most of the time, I only need to wait a couple of seconds before Overcast finishes downloading an episode, and when it does, the episode automatically starts playing.

Combined with the option to automatically remove downloaded episodes (either when completed or 24 hours after completion), I don’t think this change will be noticeable, even to users who previously chose to stream their podcasts.

Rather than streaming episodes, Overcast will always download them before you can start listening.

Rather than streaming episodes, Overcast will always download them before you can start listening.

Aside from the ability to create priority rules for sorting podcasts within playlists, there aren’t any other notable new features in this release. And with the recent introduction of transcripts in Apple Podcasts recapturing some listeners’ attention (including my own), there’s certainly room for new features to come to the app. Still, I’m glad to see Overcast gain a brand-new foundation on top of which it will hopefully keep evolving in the near future.

This is an exciting new start for my favorite podcast player.

Overcast is available to download for free on the App Store. Subscribing to Overcast Premium for $9.99/year removes banner ads from the app’s playback screens and allows users to upload their own audio files for listening.

iOS 18 After One Month: Without AI, It’s Mostly About Apps and Customization

iOS 18 launches in public beta today.

iOS 18 launches in public beta today.

My experience with iOS 18 and iPadOS 18, launching today in public beta for everyone to try, has been characterized by smaller, yet welcome enhancements to Apple’s productivity apps, a redesign I was originally wrong about, and an emphasis on customization.

There’s a big omission looming over the rollout of these public betas, and that’s the absence of any Apple Intelligence functionalities that were showcased at WWDC. There’s no reworked Siri, no writing tools in text fields, no image generation via the dedicated Image Playground app, no redesigned Mail app. And that’s not to mention the AI features that we knew were slotted for 2025 and beyond, such as Siri eventually becoming more cognizant of app content and gaining the ability to operate more specifically inside apps.

As a result, these first public betas of iOS and iPadOS 18 may be – and rightfully so – boring for most people, unless you really happen to care about customization options or apps.

Fortunately, I do, which is why I’ve had a pleasant time with iOS and iPadOS 18 over the past month, noting improvements in my favorite system apps and customizing Control Center with new controls and pages. At the same time, however, I have to recognize that Apple’s focus this year was largely on AI; without it, it feels like the biggest part of the iOS 18 narrative is missing.

As you can imagine, I’m going to save a deeper, more detailed look at all the visual customization features and app-related changes in iOS and iPadOS 18 for my annual review later this year, where I also plan to talk about Apple’s approach to AI and what it’ll mean for our usage of iPhones and iPads.

For now, let’s take a look at the features and app updates I’ve enjoyed over the past month.

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macOS Sequoia: The MacStories Public Beta Preview

Sequoia is not your typical macOS release. In recent years, new features of all Apple OSes have been increasingly meted out over time instead of dropping all at once in the fall. That’s been true of macOS, too, but this year, the magnitude of the staged release will be more pronounced, which has trickled through to the public beta released today.

macOS Sequoia will be a phased release. That means you won’t find everything announced at WWDC in the public beta. Some features, notably large parts of Apple Intelligence, won’t be available until 2025. That’s something worth keeping in mind if you’re thinking about installing the Sequoia public beta today. The beta is generally stable, but you’re likely to run into bugs, and with many features still to come in the months ahead, the upside of running it is more limited than in past years.

Apple Intelligence promises to round out Sequoia over time, but neither I nor anyone else outside of Apple has had a chance to try those features yet. So, for now, let’s focus on what you can expect if you install the macOS Sequoia public beta today.

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watchOS 11: The MacStories Public Beta Preview

Last year, Apple declared watchOS 10 the biggest update to the Apple Watch’s software since its introduction. I don’t think that was actually the case, but there were undoubtedly some notable changes to how we interact with our watches every day, with the introduction of the Smart Stack being key among them.

While Apple hasn’t forgotten about UI enhancements like the Smart Stack, this year sees the company turning its focus back to health and fitness tracking with some significant new features in those areas. I’ll be saving a deeper dive into the software update – including all the tiny changes and fun additions – until the fall, but with the watchOS 11 public beta going live today via the Apple Beta Software Program, now is the perfect time to go over the key features Apple has in store for Apple Watch users.

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LGBT and Marginalized Voices Are Not Welcome on Threads

As Twitter was crumbling under Elon Musk’s new leadership in 2023, various online circles found themselves flocking to alternative platforms. While some may have kept using Twitter (now known as… X), a non-negligible number of communities migrated over to Mastodon and other smaller platforms. Meanwhile, Meta shipped its own textual social media platform, Threads. The service initially launched in most parts of the world except for the European Union, but it’s been available in Europe for over six months now and has seen its usage soar.

For many, Threads understandably felt like a breath of fresh air following the chaos that engulfed Twitter. Unlike the latter, Threads is not run by someone that I and many others find to be an exceptionally despicable human. Its algorithmic timeline contrasts with Mastodon’s exclusively chronological feeds, and its integration with Instagram has attracted a number of big names and stars.

I’m an activist. In my daily life, I work and advocate for the advancement of trans people’s rights in France. As a result, my expanded online social circle mostly consists of LGBT people, and most of them are activists, too. However, in the span of a few months, almost everyone in that circle who was excited about Threads launching in Europe has now stopped using it and migrated back to Twitter, Mastodon, or elsewhere. When I ask around about why those people left Threads behind, their responses vary, but a trend persists: most felt like they were being shadow-banned by the platform.

Without hard data, it is difficult to investigate this feeling, to understand if it is truly widespread or specific to some online bubbles. But one thing is certain: Threads hasn’t felt like a breath of fresh air for all who tried to use it. In my experience as a trans woman, at its best, it has felt like Jack Dorsey’s old Twitter: a social platform overrun by an opaque moderation system, free-roaming hate speech, and a frustrating algorithm that too often promotes harmful content.

As months go by, incidents where Threads consistently failed to uphold its understood promise of a better-moderated Twitter-like platform have added up. Today, for many non-white, non-straight, non-male users, it is a repulsive social media experience, where their voices are silenced and where hate speech offenders who target them go unpunished.

Let’s talk about this.

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AI Companies Need to Be Regulated: An Open Letter to the U.S. Congress and European Parliament

[CC0: No rights reserved](https://pxhere.com/en/photo/489513).

CC0: No rights reserved.

Federico: Historically, technology has usually advanced in lockstep with opening up new creative opportunities for people. From word processors allowing writers to craft their next novel to digital cameras letting photographers express themselves in new ways or capture more moments, technological progress over the past few decades has sustained creators and, perhaps more importantly, spawned industries that couldn’t exist before.

Technology has enabled millions of people like myself to realize their life’s dreams and make a living out of “creating content” in a digital age.

This is all changing with the advent of Artificial Intelligence products based on large language models. If left unchecked without regulation, we believe the change may be for the worse.

Over the past two years, we’ve witnessed the arrival of AI tools and services that often use human input without consent with the goal of faster and cheaper results. The fascination with maximization of profits above anything else isn’t a surprise in a capitalist industry, but it’s highly concerning nonetheless – especially since, this time around, the majority of these AI tools have been built on a foundation of non-consensual appropriation, also known as – quite simply – digital theft.

As we’ve documented on MacStories and as other (and larger) publications also investigated, it’s become clear that foundation models of different LLMs have been trained on content sourced from the open web without requesting publishers’ permission upfront. These models can then power AI interfaces that can regurgitate similar content or provide answers with hidden citations that seldom prioritize driving traffic to publishers. As far as MacStories is concerned, this is limited to text scraped from our website, but we’re seeing this play out in other industries too, from design assets to photos, music, and more. And top it all off, publishers and creators whose content was appropriated for training or crawled for generative responses (or both) can’t even ask AI companies to be transparent about which parts of their content was used. It’s a black box where original content goes in and derivative slop comes out.

We think this is all wrong.

The practices followed by the majority of AI companies are ethically unfair to publishers and brazenly walk a perilous line of copyright infringement that must be regulated. Most worryingly, if ignored, we fear that these tools may lead to a gradual erosion of the open web as we know it, diminishing individuals’ creativity and consolidating “knowledge” in the hands of a few tech companies that built their AI services on the back of web publishers and creators without their explicit consent.

In other words, we’re concerned that, this time, technology won’t open up new opportunities for creative people on the web. We fear that it’ll destroy them.

We want to do something about this. And we’re starting with an open letter, embedded below, that we’re sending on behalf of MacStories, Inc. to U.S. Senators who have sponsored AI legislation as well as Italian members of the E.U. Special Committee on Artificial Intelligence in a Digital Age.

In the letter, which we encourage other publishers to copy if they so choose, we outline our stance on AI companies taking advantage of the open web for training purposes, not compensating publishers for the content they appropriated and used, and not being transparent regarding the composition of their models’ data sets. We’re sending this letter in English today, with an Italian translation to follow in the near future.

I know that MacStories is merely a drop in the bucket of the open web. We can’t afford to sue anybody. But I’d rather hold my opinion strongly and defend my intellectual property than sit silently and accept something that I believe is fundamentally unfair for creators and dangerous for the open web. And I’m grateful to have a business partner who shares these ideals and principles with me.

With that being said, here’s a copy of the letter we’re sending to U.S. and E.U. representatives.

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Wired Confirms Perplexity Is Bypassing Efforts by Websites to Block Its Web Crawler

Last week, Federico and I asked Robb Knight to do what he could to block web crawlers deployed by artificial intelligence companies from scraping MacStories. Robb had already updated his own site’s robots.txt file months ago, so that’s the first thing he did for MacStories.

However, robots.txt only works if a company’s web crawler is set up to respect the file. As I wrote earlier this week, a better solution is to block them on your server, which Robb did on his personal site and wrote about late last week. The setup sends a 403 error if one of the bots listed in his server code requests information from his site.

Spoiler: Robb hit the nail on the head the first time.

Spoiler: Robb hit the nail on the head the first time.

After reading Robb’s post, Federico and I asked him to do the same for MacStories, which he did last Saturday. Once it was set up, Federico began testing the setup. OpenAI returned an error as expected, but Perplexity’s bot was still able to reach MacStories, which shouldn’t have been the case.1

Yes, I took a screenshot of Perplexity's API documentation because I bet it changes based on what we discovered.

Yes, I took a screenshot of Perplexity’s API documentation because I bet it changes based on what we discovered.

That began a deep dive to try to figure out what was going on. Robb’s code checked out, blocking the user agent specified in Perplexity’s own API documentation. What we discovered after more testing was that Perplexity was hitting MacStories’ server without using the user agent it said it used, effectively doing an end run around Robb’s server code.

Robb wrote up his findings on his website, which promptly shot to the top slot on Hacker News and caught the eye of Dhruv Mehrotra and Tim Marchman of Wired, who were in the midst of investigating how Perplexity works. As Mehrotra and Marchman describe it:

A WIRED analysis and one carried out by developer Robb Knight suggest that Perplexity is able to achieve this partly through apparently ignoring a widely accepted web standard known as the Robots Exclusion Protocol to surreptitiously scrape areas of websites that operators do not want accessed by bots, despite claiming that it won’t. WIRED observed a machine tied to Perplexity—more specifically, one on an Amazon server and almost certainly operated by Perplexity—doing this on wired.com and across other Condé Nast publications.

Until earlier this week, Perplexity published in its documentation a link to a list of the IP addresses its crawlers use—an apparent effort to be transparent. However, in some cases, as both WIRED and Knight were able to demonstrate, it appears to be accessing and scraping websites from which coders have attempted to block its crawler, called Perplexity Bot, using at least one unpublicized IP address. The company has since removed references to its public IP pool from its documentation.

That secret IP address—44.221.181.252—has hit properties at Condé Nast, the media company that owns WIRED, at least 822 times in the last three months. One senior engineer at Condé Nast, who asked not to be named because he wants to “stay out of it,” calls this a “massive undercount” because the company only retains a fraction of its network logs.

WIRED verified that the IP address in question is almost certainly linked to Perplexity by creating a new website and monitoring its server logs. Immediately after a WIRED reporter prompted the Perplexity chatbot to summarize the website’s content, the server logged that the IP address visited the site. This same IP address was first observed by Knight during a similar test.

This sort of unethical behavior is why we took the steps we did to block the use of MacStories’ websites as training data for Perplexity and other companies.2 Incidents like this and the lack of transparency about how AI companies train their models have led to a lot of mistrust in the entire industry among creators who publish on the web. I’m glad we’ve been able to play a small part in revealing Perplexity’s egregious behavior, but more needs to be done to rein in this sort of behavior, including closer scrutiny by regulators around the world.

As a footnote to this, it’s worth noting that Wired also puts to rest the argument that websites should be okay with Perplexity’s behavior because they include citations in their plagiarism. According to Wired’s story:

WIRED’s own records show that Perplexity sent 1,265 referrals to wired.com in May, an insignificant amount in the context of the site’s overall traffic. The article to which the most traffic was referred got 17 views.

That’s next to nothing for a site with Wired’s traffic, which Similarweb and other sites peg at over 20 million page views that same month. That’s a mere 0.006% of Wired’s May traffic. Let that sink in, and then ask yourself whether it seems like a fair trade.

  1. Meanwhile, I was digging through bins of old videogames and hardware at a Retro Gaming Festival doing ‘research’ for NPC. ↩︎
  2. Mehrotra and Marchman correctly question whether Perplexity is even an AI company because they piggyback on other company’s LLMs and use them in conjunction with scraped web data to provide summaries that effectively replace the source’s content. However, that doesn’t change the fact that Perplexity is surreptitiously scraping sites while simultaneously professing to respect sites’ robot.txt file. That’s the unethical bit. ↩︎

How We’re Trying to Protect MacStories from AI Bots and Web Crawlers – And How You Can, Too

Over the past several days, we’ve made some changes at MacStories to address the ingestion of our work by web crawlers operated by artificial intelligence companies. We’ve learned a lot, so we thought we’d share what we’ve done in case anyone else would like to do something similar.

If you read MacStories regularly, or listen to our podcasts, you already know that Federico and I think that crawling the Open Web to train large language models is unethical. Industry-wide, AI companies have scraped the content of websites like ours, using it as the raw material for their chatbots and other commercial products without the consent or compensation of publishers and other creators.

Now that the horse is out of the barn, some of those companies are respecting publishers’ robots.txt files, while others seemingly aren’t. That doesn’t make up for the tens of thousands of articles and images that have already been scraped from MacStories. Nor is robots.txt a complete solution, so it’s just one of four approaches we’re taking to protect our work.

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iOS and iPadOS 18: The MacStories Overview

Image: Apple.

Image: Apple.

At its WWDC 2024 keynote held earlier today online and with an in-person event at Apple Park in Cupertino, California, Apple officially announced the next versions of the operating systems for iPhone and iPad – iOS and iPadOS 18.

As widely speculated in the lead up to the event, Apple’s focus for both OSes largely revolves around artificial intelligence, or as the company likes to refer to the AI acronym now, “Apple Intelligence”. The new AI features in iOS and iPadOS promise to make both operating systems, well, more intelligent than before thanks to a completely revamped Siri and proactive functionalities that learn from users’ habits and apps. Presented as a fast, private, and personal set of features that draws from the user’s context and combines it with generative models, Apple Intelligence – which will debut in U.S. English only later this year, with a beta expected later this summer – will power a variety of new system features and experiences, starting from a revamped Siri and text analysis features to image creation, performing actions inside apps, and more.

But AI-related improvements aren’t the only new features Apple announced today. From a renewed focus on Home Screen customization and redesigned Control Center to a new design for tab bars on iPad and expanded Tapbacks in Messages, Apple has showed that, while they can follow the rest of the tech industry in rethinking how AI can enhance how we use our devices, they can continue shipping other functionalities for iPhone and iPad, too. Or, at the very least, they certainly can for the iPhone and iOS.

We’ll have in-depth overviews for both iOS and iPadOS 18 when the public betas for each OS come out next month, and, of course, we’ll continue diving into the announcements later this week on MacStories via our WWDC 2024 hub as well as AppStories. We’ll also have a dedicated story about Apple Intelligence coming later on MacStories with the highlights of all the AI-infused features announced by Apple today.

In the meantime, here’s a recap of everything else that Apple showed today for iOS and iPadOS 18.

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