Friday, July 4, 2025

Spam-Blocking Is Coming to Messages in iOS 26

In the next iPhone update, Apple is introducing a small but welcome addition to the Messages app. It’s not flashy, and it may not get top billing next to iOS 26’s new visual design, but for anyone tired of spam, it’s the kind of change that matters.

With iOS 26, Messages will gain a smarter way to handle texts from unknown numbers. Once the feature is enabled, suspected spam gets screened and shifted out of your main inbox. These messages won’t trigger notifications. They won’t sit alongside personal conversations either. Instead, they’ll be stored in a separate section, quietly held back from view unless you choose to look.


Image: Apple.

That decision is yours. Apple isn’t deleting anything or blocking contact without notice. You’ll still be able to read those texts if you want. The filters menu in Messages now gives you four tabs to switch between: your regular messages, unknown senders, flagged spam, and recently deleted threads.

The tool lets you turn filtering on or off for either unknown numbers or obvious spam. If something gets miscategorized, there’s a visual cue on the filters icon to let you know something new has been screened. That way, the system avoids the risk of losing important messages in the shuffle.

This spam filter arrives as part of a larger set of changes to the Messages app. iOS 26 is also adding conversation wallpapers, live translations, group typing indicators, and even polls, features meant to modernize how people communicate while keeping things familiar.
But it’s the spam filter that may feel most useful in everyday use. Text scams and promotional blasts have become a common headache, and users often have no easy way to manage them without third-party apps. With this update, Apple is giving iPhone users a native solution, built into the device, always running quietly in the background.

If a text comes from a number not in your contacts, and the system flags it as spam, it won't bother you with a notification. It won’t disappear either. The message is just moved out of the way, giving you the option to read it later, ignore it entirely, or mark it as legitimate if needed.

This isn’t Apple’s first step in reducing digital noise. Past iOS updates brought tools for filtering calls and silencing unknown callers. Now, that same approach is being applied to Messages, offering more control without demanding more effort from the user.

The feature is expected to roll out with the full iOS 26 release later this year. And while it won’t eliminate spam entirely, it’s one more step toward making your phone feel like yours again.

Read next: Meta Experiments With Proactive AI Bots Designed to Reinitiate Conversations and Increase User Engagement Across Platforms
by Irfan Ahmad via Digital Information World

Meta Experiments With Proactive AI Bots Designed to Reinitiate Conversations and Increase User Engagement Across Platforms

Meta is testing a new AI feature that flips the usual dynamic. Instead of waiting for users to reach out, some chatbots might soon be the ones who make the first move.

The trial, as spotted by BI, is happening inside AI Studio, Meta’s no-code platform where users can design chatbot characters and deploy them in apps like WhatsApp or Instagram. These bots are customizable in look, tone, and behavior, and don’t require any technical skills to set up.

The new function is tied to an internal initiative known as Project Omni, developed in collaboration with the data labeling company Alignerr. According to documentation seen by Business Insider, the goal is straightforward: bring people back into conversations they’ve already started, and keep them coming back more often. Meta sees this kind of friendly outreach as a way to improve retention, which directly supports the long-term growth of its AI services.

In practice, the proactive messaging takes a soft-touch approach. A film-focused bot, for example, might check in with a user after a quiet period, offering soundtrack suggestions or asking if they’ve seen any good movies lately. The tone stays cheerful, the content light, and the messages are tailored to fit the character’s role.

Engagement matters here for more than just user satisfaction. Meta expects to earn between $2 billion and $3 billion from generative AI products this year alone. Over the next decade, company forecasts go much higher, suggesting AI could drive over a trillion dollars in revenue by 2035. But that kind of future depends on more than just hype. Tools need to be used regularly, and bots that keep the conversation going, gently, could play a part in that.

Still, questions remain about consent and user control. Meta says the bots won’t send messages out of the blue. A user must have engaged first. If they ignore a follow-up, the bot doesn’t push again. There are also boundaries in place to steer clear of sensitive topics, unless a user explicitly brings them up. Each response is tied to the bot’s personality and the context of earlier chats.

This isn’t the first time Meta has had to walk a line between engagement and overreach. Just last month, the company started cautioning users against sharing personal information in public AI chats, after many had unknowingly posted private details in feeds visible to others.

For now, the messaging experiment is still in the testing stage. Whether it catches on, or raises new privacy concerns, may depend on how naturally these bots can fit into conversations without overstaying their welcome.


Notes: This post was edited/created using GenAI tools. Image: DIW-Aigen.

Read next: Meta’s Paid Support Leaves Verified Users Locked Out and Frustrated
by Irfan Ahmad via Digital Information World

Meta’s Paid Support Leaves Verified Users Locked Out and Frustrated

Meta’s subscription service, meant to offer peace of mind through verified status and direct account support, is turning into a source of frustration for thousands of users. Many who paid for Meta Verified say they’ve been locked out of their accounts with no clear reason, and no real help.

In recent months, users across Facebook, Instagram, and Facebook Groups have reported sudden account suspensions. Some had personal accounts. Others were running small businesses. What they had in common was the expectation that paying for verification would offer faster support and protection. Instead, they’ve found themselves stuck in automated loops, unable to reach a real person.

Some tried multiple appeals. A few submitted five or more tickets. The responses they got felt robotic. In several cases, chats were closed without resolution. Others were told they had violated community guidelines, even though there had been no prior warnings or signs of trouble. The appeals process didn’t clarify much, if anything.

Across social platforms, users are sharing what happened. Some lost years of photos, conversations, and community. Others lost business opportunities they’d spent months building. For many, the ban came just as they were launching something new, only to be shut out, with no timeline for a return.

Meta has only briefly acknowledged the issue. The company blamed a “technical error” for suspensions inside Facebook Groups, but it hasn’t explained why accounts on other platforms were affected. There’s a line on Instagram’s help site mentioning login issues, but it’s been there since spring with no updates. No public statement has addressed the broader problem.

That silence has pushed users to organize. On Reddit and other forums, people are trading advice, venting frustrations, and warning others. A petition demanding better support and account recovery has now passed 25,000 signatures. Some are exploring legal action, including the possibility of a class-action lawsuit.

There’s speculation that automated moderation tools or misfiring AI systems may be to blame. A few users say support agents mentioned malware or overloaded ticket queues. But those accounts are secondhand, and Meta hasn’t offered confirmation or comment.

A handful of people say they eventually got their accounts back, weeks or months after being banned. But for most, the wait continues. The lack of updates, and the failure of paid support to actually deliver help, has many wondering what they paid for in the first place.


Notes: This post was edited/created using GenAI tools. Image: DIW-Aigen.

H/T: TechCrunch.

Read next:

• Most Workers Prefer AI for Repetitive Tasks, But Startups Focus on Creative and Strategic Automation

• Where Do Facebook, YouTube, Instagram, and TikTok Stand in the 2025 News Landscape?
by Irfan Ahmad via Digital Information World

Thursday, July 3, 2025

Where Do Facebook, YouTube, Instagram, and TikTok Stand in the 2025 News Landscape?

Younger Americans are leaving traditional news paths behind. Over half now turn first to social or video platforms, not TV or standard websites, when seeking updates on current events. Among U.S. adults under 35, that pivot has become the new norm.

Facebook’s position in news delivery has quietly eroded. According to ReutersInstitute data, from a 42% peak in 2016, its weekly news use has slid to 26% in 2025, a 16-point fall. Meanwhile, YouTube retains consistent reach, though rising competitors have carved out space. Instagram’s use for news climbed from 2% in 2014 to 16% this year. TikTok, which barely registered at 1% in 2020, now accounts for 10% of weekly news access.

The broader shift shows a platform ecosystem breaking apart. In 2014, only Facebook and YouTube passed the 10% weekly news threshold. Today, six different networks do. Even X (formerly Twitter) has held steady at 11% for years, while WhatsApp, Snapchat, and Messenger hover around the 5–16% range. The audience is no longer monolithic, it fragments by format and flow.

Video-first algorithms, especially on TikTok and Instagram, continue to reshape how news gets packaged and absorbed. Casual swipes now replace headlines. Emojis, edits, and faces beat plain text.

Lesser-known platforms, Reddit, Threads, Telegram, Bluesky, each claim 1% to 4% reach. While small, these figures matter when aggregated across communities chasing niche topics, breaking developments, or alternative voices. As tech firms shuffle priorities, from pushing creators to pulling back from journalism, publishers must chase visibility across a map that redraws itself yearly.

Multiple platforms now cross the 10% news use threshold, splintering audiences across formats, features, and community interests.

Year Facebook X (formerly Twitter) FB Messenger Instagram Snapchat WhatsApp YouTube TikTok
2014 36 9 2 7 16
2015 41 11 3 1 9 18
2016 42 10 3 1 10 18
2017 39 10 6 4 2 13 18
2018 36 11 7 6 3 14 19
2019 36 10 8 9 3 16 20
2020 36 12 8 11 3 16 21 1
2021 32 11 8 11 2 17 20 3
2022 30 11 7 12 2 15 19 4
2023 28 11 6 14 2 16 20 6
2024 26 11 6 15 2 16 22 8
2025 26 11 5 16 3 15 21 10

Note: This post was edited/created using GenAI tools.

Read next: The Business of You: How Digital Platforms Turn Your Life into Ad Revenue
by Irfan Ahmad via Digital Information World

Personal AI: How OpenAI Employees Turn to ChatGPT for Small, Daily Decisions

At OpenAI, the people building ChatGPT are also finding unexpected ways to use it in their own lives. From organizing morning routines to preparing for conversations, the chatbot has gradually become a daily utility, even outside the lab.

Turning Commutes into Planning Sessions

For Nick Turley, who leads product development for ChatGPT, the voice feature has become something of a routine. Most mornings, he talks out loud to ChatGPT while commuting. He doesn’t use it to look things up, but to sort through his own thoughts. By the time he gets to work, he often has a clearer idea of what needs attention.

The voice interface still has some rough edges, but for Turley, it serves a different purpose. Speaking ideas aloud helps sharpen them. It’s not about answers, but about reflection.

Using AI to Navigate Meetings

Mark Chen, OpenAI’s chief research officer, turns to ChatGPT in the moments before meeting someone new. He feeds the model a few details about the other person and asks it to find common ground. It doesn’t just summarize bios, it suggests talking points. For Chen, that extra context often leads to a better first conversation.

It’s not about replacing preparation, but shaping it. In his view, it works best when users already know what they want out of an exchange.

Getting Menu Help, No Typing Required

Andrew Mayne, who formerly worked on science communication at OpenAI, uses the tool when he’s out for a meal. Instead of scrolling through options, he takes a photo of the menu and asks ChatGPT to recommend something that fits his diet. For quick decisions, the image input saves time and avoids guesswork.
It’s a glimpse into how visual tools are moving beyond novelty. The model isn’t just parsing text, it’s helping people make simple, fast choices in everyday situations.

Quietly Useful, Not Flashy

CEO Sam Altman has described his own ChatGPT usage as routine. He’s mentioned using it to manage inbox overload, scan documents, and, more recently, to look up parenting advice. During an earlier podcast appearance, he said he often relies on it when trying to understand the stages of child development.

He admitted that parents have been raising children without AI forever, but added that having a second opinion, even a virtual one, helps him feel more prepared.

The latest podcast didn’t just cover tips. It revealed how the team’s relationship with the tool has evolved. Turley noted that more users, especially younger ones, are treating ChatGPT like a sounding board. People ask it questions they might hesitate to bring up elsewhere, career doubts, relationship concerns, daily decisions.

Chen said the memory feature plays a key role in how users are starting to rely on the tool. As it learns more over time, the model becomes easier to trust. Many people now expect it to remember patterns in how they work, what they prefer, or the tasks they return to. For Chen, that ongoing familiarity is what gives the tool its practical value and sense of reliability.


Notes: Image: DIW-Aigen. This post was edited/created using GenAI tools.

Read next: Racist AI Videos Created With Google’s Veo 3 Spread on TikTok
by Irfan Ahmad via Digital Information World

Wednesday, July 2, 2025

Court Slams Google Over Hidden Android Tracking, Orders $314.6 Million Payout

A California jury has ordered Google to pay $314.6 million after finding that it collected user data from Android phones without proper consent.

The case, filed back in 2019, argued that Google tracked user data even when phones weren’t in use. The data transfers happened in the background, over mobile networks, with no clear way for users to opt out. Plaintiffs claimed the process wasn’t optional, and that it quietly ate into users’ mobile data plans.

That background activity, they said, supported Google’s targeted advertising efforts. The court agreed that users had little control and weren’t given meaningful choices.
Google pushed back on the claims, saying the data was necessary for Android’s core functions, including performance and security updates. The company also pointed out that Android users agreed to the terms during device setup and said no harm was caused.

The verdict adds to Google’s growing list of legal challenges, including recent antitrust rulings. Google intends to appeal the verdict.


Notes: Image: DIW-Aigen. Post was edited/created using GenAI tools.

Read next:

• AI Now Helping Employees Decode Bosses, Set Goals, and Stay Sane, New Survey Reveals Shifting Work Rituals

• Cloudflare Unveils New Way for Websites to Control and Earn from AI Crawlers
by Irfan Ahmad via Digital Information World

AI Now Helping Employees Decode Bosses, Set Goals, and Stay Sane, New Survey Reveals Shifting Work Rituals

Far from just a time-saver, AI is slipping into the background of daily work life, advising, organizing, and even calming nerves before tough conversations.

A surprising number of full-time employees are now relying on it for tasks that have little to do with writing emails or analyzing data. In some cases, it's playing the role of coach, therapist, or even sounding board.

A recent survey of U.S. workers found that about a third had used AI in the past month for work-related purposes. That group leaned most heavily on tools like ChatGPT, Gemini, and Microsoft Copilot. But what’s interesting isn’t just which tools they used, it’s how.

Plenty of people still use AI to get through their to-do list. Writing emails was one of the most common uses, along with coming up with ideas and generating content. People also relied on it to break down long documents or articles, pull together reports, and draft presentations. Resumes and cover letters made the list, too.

When AI Becomes the Assistant: Tasks Humans Are Handing Over

How Workers Are Using AI (Task) Percentage
Writing emails 60%
Writing content 58%
Brainstorming ideas 58%
Summarizing articles/documents 54%
Analyzing data or creating reports 50%
Preparing meeting agendas or presentations 40%
Drafting or editing resumes and cover letters 38%

But that's only part of the picture.

Some workers now treat AI as a quiet partner for personal growth. About half said they used it to set goals or think through a tough problem. Others plugged it into financial planning or asked it to reflect on their performance. A good portion used it to interpret a manager's vague comment or process tension with a colleague. A few even turned to AI just to blow off steam, without fear of judgment.

Less Traditional Ways Workers Are Using AI Percentage
Goal setting 49%
Talk through a problem 46%
Financial planning 40%
Evaluate job performance 33%
Better understand colleagues 30%
Mental health support 28%
Career coaching 24%
Vent frustrations 20%

In many cases, these tools are helping people gear up for awkward or high-stakes conversations. Roughly 44% used AI to get ready for a performance review. Some ran scenarios through it before having difficult talks with coworkers. Others leaned on it to script out what to say when asking for a raise or promotion. The numbers weren’t minor, more than one in five said AI helped them prepare to ask for better pay.

Conversations Workers Have Used AI To Prepare For Percentage
A performance review 44%
A difficult conversation with a manager/colleague 39%
Asking for promotion 27%
Asking for a raise 22%

What’s notable is how personal that usage has become. It’s no longer just about editing or organizing, it’s about preparing, feeling steadier, getting in the right headspace. And for many, it seems to be working.

Nearly three in four said using AI gave their productivity a boost. A majority felt mentally better during the day when they used it. Some found it sharpened their confidence. Others used it to figure out where they needed to grow, or to map out their next steps. Around 27% said it even helped them move up in their jobs, whether through a raise, a promotion, or both.

The survey didn’t just surface stats. It showed something deeper. AI, for a portion of the workforce, has become more than just a convenience. It’s a kind of daily companion, useful when drafting a spreadsheet, but just as helpful when thinking through the politics of a tough conversation.

Only a third of people in the survey said they’d used AI recently, but the way they’re folding it into their routines tells a deeper story. Without much noise or attention, these tools are slipping into everyday habit, shaping how people organize their thoughts, make decisions, and approach their work.

Read next: When AI and Human Say the Same Thing, People Still Feel the Human More
by Irfan Ahmad via Digital Information World