Google Launches AI Edge Gallery App for Offline AI on Android Devices

Google has quietly rolled out a new app that lets users run artificial intelligence models directly on their phones — no internet required.

Called AI Edge Gallery, the app is now available for Android, with an iPhone version on the way. It connects users with a wide selection of Generative AI tools, including ones that can generate images, answer questions, and even help write or edit code.

The big difference? These models run on the phone itself, not in the cloud.

That means you don’t need Wi-Fi or mobile data to use them. Everything happens locally, powered by the device’s own processor — a feature that could appeal to those who care about privacy or often work without a reliable internet connection.

Once inside the app, users can choose from various tasks like “AI Chat” or “Ask Image.” Each task links to a list of AI models suited for that job — for example, Google’s own Gemma 3n.

There’s also a feature called Prompt Lab that lets people experiment with text-based actions, such as rewriting or summarizing content. It comes with templates and settings to help users tweak how the model responds.

Google says performance will vary when using these models. Newer phones with faster chips will handle the models more smoothly, while larger models may take longer to complete tasks — especially on less powerful devices.

The app is still in an early testing phase, and Google is inviting developers to try it out and share feedback. It’s available under the Apache 2.0 license, so anyone can use it freely — even for commercial projects.

Read next: How AI and Authenticity Are Changing the Way People Search
by Irfan Ahmad via Digital Information World

How AI and Authenticity Are Changing the Way People Search

Search isn’t going away — but it is evolving. People still want answers. They’re just more thoughtful now about where they look and what feels worth their time.

That’s what Resolve found in a recent survey of 1,000 U.S. adults. The data shows how users are shifting their search habits, using tools like ChatGPT and TikTok when traditional engines fall short.

Users Still Go to Google — But It's No Longer the Only Stop

Google remains a go-to for search, but it’s being joined by other platforms that offer clarity and credibility:

• 41% use AI tools like ChatGPT for clearer answers
• One in three of these users now relies on them for search
• 32% prefer Reddit for human insight
• 28% turn to YouTube, and 21% check TikTok for explainers

People want responses that sound like they came from real people. Tools that offer context and community are gaining ground.

The Frustrations Behind the Shift

Users are getting choosier — and traditional search isn't always cutting it:

• 61% bounce if a result doesn’t help quickly
• 86% notice repetition in top results
• 45% avoid links they believe are AI-generated

Survey participants also called out templated writing, busy page layouts, and cookie-cutter content. It’s not just what’s being said — it’s how and where it’s being delivered.

What Makes Users Click — and Stay

When asked what earns their click, people zeroed in on three things:

• Clear, specific answers (54%)
• Up-to-date content (45%)
• Recognizable, trustworthy sources (40%)

Tone and structure matter more than ever. Generic language and keyword stuffing won’t get the job done. Relevance and relatability do.

Why AI-Generated Content Is Under the Microscope

People are getting better at spotting machine-made writing. Half of respondents said they’ve skipped a result that “felt” like it was written by AI. That sameness — across tone, structure, and phrasing — stands out.

When pages feel like summaries rather than answers, trust erodes. Platforms like ChatGPT, Reddit, and blogs with clear voices are gaining traction for a reason: they sound human and feel intentional.

Content That Resonates Isn’t Always Polished

Younger users are leading the move toward community-first platforms:

• 53% of Gen Z and 43% of millennials rely on Reddit, YouTube, and TikTok for search
• 74% say they prefer content that feels real, even if it’s not slick

What’s ranking doesn’t always match what users want. Personality and clarity are now more valuable than polish. And the definition of “success” in content is shifting alongside user expectations.

What This Means for Content Teams

Creators are adjusting. Visibility still matters — but quality, tone, and trust play a bigger role in engagement. Here’s what to watch:

• Time on page suggests real engagement
• Repeat visitors signal trust
• Homepage conversions are growing as landing patterns shift

The message is clear: readers want content that speaks to them — not just at them.

5 Ways to Build Trust in an AI-Heavy World

Content teams that evolve with user behavior can stand out. Here’s how:

• Lead with the takeaway: Get to the point early.
• Sound natural: Drop jargon and write like a person.
• Add fresh perspective: Avoid rehashing what’s already out there.
• Polish your homepage: That’s where many first impressions are happening now.
• Be consistent: A familiar tone builds lasting trust.

Homepage Traffic Is Growing — and It Matters

With AI-driven summaries giving users faster answers, fewer clicks are going to deep pages. But homepage traffic? That’s on the rise.

Why? Because when users do click, they often want to vet the source. They want to see who’s behind the answer. A clear, helpful homepage builds trust faster than any blog post can.

This is especially true for brands. Users arriving at your front door are looking for clarity. If they don’t get it, they won’t stick around.

Recognition Starts at the Front Door

Google’s AI Overviews and AI Mode are changing how traffic flows. Page views might drop for individual posts — but homepage visits are going up. And those visitors are high-intent.

Think of your homepage as a trust filter. It’s where users decide whether to engage further. That makes it a critical piece of the content experience — especially for brands trying to stay visible in an AI-first search world.

Why the SEO Playbook Is Evolving

This new landscape is more than just a trend. It’s a signal that the SEO playbook must evolve. Keywords and backlinks still matter — but they’re not enough. Google’s algorithm is increasingly tuned to user satisfaction. If someone clicks and bounces fast, that result may not rank for long.

Success today depends on how well a piece of content performs across multiple metrics: does it hold attention? Does it offer something fresh? Does it feel like it was written by a person, not a prompt?

One big opportunity lies in blending the best of both worlds: AI can help with research and outlining, but the final product needs a human touch. Voice, tone, insight — these are what make content feel alive.

For brands and content teams, the challenge is clear. Earn attention. Keep it. Deliver value.

Beyond Visibility: Sustaining Relevance Over Time

Getting seen is only the first step. Staying relevant — and earning return visits — is what defines long-term success. Content that resonates often combines insight with empathy. It speaks to what the reader is actually trying to solve, not just what they searched for.

This shift also changes how teams measure success. Engagement metrics like scroll depth, time on page, and repeat traffic matter more than ever. Comments, shares, and even direct traffic can signal when something’s landing well.

Adaptability is part of this equation too. As search continues to shift, the most resilient teams will be the ones that test, listen, and adjust. Tools evolve. Habits change. The brands that thrive are the ones paying close attention.

Adapting to the New Search Reality

Search habits are diversifying. Users now bounce between engines, AI tools, and communities depending on their needs.

There’s no single path to discovery anymore. That’s why content strategies have to flex. The goal isn’t just ranking — it’s resonating.

The takeaway: meet readers where they are, and speak like you mean it. Whether through AI tools or traditional search, the voice that earns trust is the one that wins.

Read next: Study Shows Meta's Facebook Removes Harmful Content After Most Engagement Has Occurred

by Irfan Ahmad via Digital Information World

Gmail Is Reading and Summarizing Your Emails, Here’s How to Stop It

Google has started adding AI-generated summaries to some Gmail messages, whether users request them or not. The new feature, powered by Google Gemini, is now showing up by default in the Gmail mobile app for users with Workspace accounts.

These summaries appear as a small box under the email subject line, usually containing up to three bullet points. They’re designed to highlight the key points from longer email threads, making it easier to catch up quickly.

The summaries won’t show up in every email. According to Google, the feature is intended for longer or more complex conversations. As the thread grows or changes, the summary updates automatically.

If a summary doesn’t appear when you want one, there’s a “Summarize this email” button at the top of the message that can generate it manually.

Right now, this feature is only available in English, and only for users on Android or iOS with either a Google Workspace account or a Google One AI Premium subscription. Google hasn’t said when it will roll out to desktop users or other languages.

Don’t Want It? Here’s How to Turn It Off

If you'd rather not have summaries show up in your inbox, you can turn the feature off—but you’ll need to disable all of Google’s “Smart Features” to do it.

On desktop:

• Click the gear icon at the top right.

• Go to Settings > General.

• Scroll to Smart features and uncheck “Turn on smart features in Gmail, Chat, and Meet.”

On Android:

• Open the Gmail app.

• Tap the three-line menu, then go to Settings > General.

• Toggle off Smart features.

On iPhone:

• Go to Settings > Data privacy > Smart features and turn it off.

Google introduced email summaries in mid-2024, but this marks the first time they’re being added automatically. The company says it’s meant to help people handle overflowing inboxes, but not everyone may be comfortable with AI skimming their emails.

Read next: These Are the Best AI Video Generators for Creating Stunning Content in Minutes

by Irfan Ahmad via Digital Information World

These Are the Best AI Video Generators for Creating Stunning Content in Minutes

It is very easy to watch videos, but it is very hard to make videos people enjoy watching. As there is a whole process involved with making videos, like writing scripts, filming, editing and publishing.

Now it's the era of AI tools and those tools have made it easier for you to generate videos in a quicker way. AI tools can help you generate videos that others can enjoy for social media short content, YouTube channels or other platforms.

Many video creators are looking for AI video generators that can help them with content production, with proper tools that make the whole process easier and quicker. After looking at a plethora of AI video generators, we have compiled a list of 11 best video generation tools for our readers.

Here is a list of what things you should look for while choosing an AI video generator.

1- Real AI Features:

The AI video generator should have real AI features with some of the core tools to help edit/create the videos.

2- High-quality Output:

High-quality output is a must when choosing an AI video generator, and it should have options from 720p to 4K when it comes to video quality.

3- Customization:

You should have enough room for customization, editing and tweaking the details on your chosen AI video generator.

4- User-friendly Design:

A user-friendly design can help you in generating the videos with ease.

5- Unique Value:

A good AI video generator should have features that boost creativity and production quality so you can generate unique videos.

Top 11 Best AI Video Editing Software

Here is a list of top 11 best AI video generators that we have found possessing all those qualities:

1. Sora
2. Runway
3. Descript
4. Wondershare Filmora
5. Capsule
6. invideo AI
7. Peech
8. Synthesia
9. Vyond
10. revid.ai
11. LTX Studio

1- Sora by OpenAI

Available On: Web

Pros:
● Sora has unique AI video generation tools.
● Videos are easy to control and customize on Sora.
● Has an easy-to-use prompt system.
● Sora also has a storyboard feature that controls scene-by-scene.
● Has great visual consistency across different scenes.
● Best for cartoony aesthetics and landscapes.

Cons:
● The videos get a watermark on the lowest paid plan.
● It is not yet available outside of the US.
● It still struggles a little with realism in interactions and movement
● Only has a limited video duration of 5-20 seconds
● Humans and animals created on Soora can look uncanny.

Why Choose Sora?

Sora is OpenAI’s new video model and it has many impressive features. Sora can turn a simple text prompt into a high quality video and users can also build a video scene by scene using the Storyboard tool. This makes it great for keeping visual consistency and you also get enough room to remix other videos or animate your own images.

Sora is only accessible to ChatGPT Plus users in the US.

Pricing:

For ChatGPT Plus users, the pricing for Sora is $20 a month, and the users get 50 video generations, 5 second videos and 720p quality with watermark at this price.

For ChatGPT Pro users, the pricing is $200 a month with 500 video generations of 20 second videos, 1080p quality and no watermarks.

2- Runway

Available On:

Web, iOS

Pros:
● Runway has advanced AI tools for high-quality and creative results.
● It offers many other varieties of features other than text-to-video.
● You can get tutorial content as well through Runway Academy.
● Runway has many unique features like Act One which blends real-time performances into AI videos.
● Runway is best for abstract, artistic and experimental visuals.

Cons:
● It takes a little bit of practice to master prompt writing on Runway.
● You can only use Gen-3 Alpha on paid plans and it uses credits quickly.
● There are some tools which do not make sense and probably seem like a black box.
● Runway is not best for replacing real-world videos.

Why Choose Runway?

The thing that makes Runway a powerful creative tool for video generation is Gen-3 Alpha which responds to detailed prompts. All you need to do is describe what you want like camera movements, content and style and Runway works to provide you with the best videos.

Its Act One feature stands out which allows users to record a real actor and then maps out their voice and expressions to an AI-generated character.

Pricing:

Runway’s free plan includes 125 one-time credits, watermarked exports and limited features.

Its standard paid plan starts at $15 a month, and users can access Gen-3 Alpha with 625 monthly credits. The videos also are exported without watermark and in high-quality.

3- Descript

Available On:

Web, Windows, Mac

Pros:
● Descript is really intuitive, best for beginners
● You can edit videos by editing the transcript, which is similar to working on a text document.
● Descript auto-organizes video into scenes.
● It has built-in stock video and media tools.
● Descript has many AI features like automatic highlights, audio enhancement and multicam editing.

Cons:
● The transcriptions on Descript can be inaccurate at times.
● It is not good for generating videos with highly precise or technical details.

Why Choose Descript?

While using Descript, you can edit your videos as simply as editing a Google Doc. Descript transcribes your video and then breaks it into scenes. So, if you want to cut the content, all you need to do is delete some words from the transcript and update the video.

Scene management on Descript is also easier, like using a forward slash for split scenes and adding a B-roll or stock footage with a few clicks. The AI-powered tools enhance the audio, auto-edit between speakers in multicam and auto-generate highlight clips for social media.

Pricing:

You get 1 hour of transcription, watermarked exports and basic editing tools on a free model of Descript. The paid model (Hobbyist Plan) starts from $24 a month, and includes 10 transcription hours per month, no watermark, 1080p export quality and access to more advanced video editing and AI tools.

4- Wondershare Filmora

Available On:

Web, Windows, Mac, Android

Pros:
● It is a traditional video editor which has now been enhanced with modern AI features.
● It offers great learning resources and tutorials.
● Wondershare Filmora can be used by anyone easily, even beginners.
● It has many features beyond AI like beat sync and templates.

Cons:
● Wondershare Filmora can be slow on low-end computers.
● Some of its AI tools require practice to get the best results.

Why Choose Filmora?

Wondershare Filmora is a classic video editor that has evolved over time and now has countless AI features to make video editing quicker and easier. It has many smart tools kike smart cutout, audio denoise, audio stretch, motion tracking, silence detection and audio-to-video.

You also get countless creative tools on Filmora like auto beat sync, templates and access to Virbo, which is Wondershare Filmora’s platform for AI avatar videos. Filmora is best for all types of editing, from editing a vlog to social content and business videos.

Pricing:

Free Plan on Wondershare Filmora includes watermarked exports and full features access only for testing.

The basic plan starts at $49.99 a year and you get no watermarked exports and full access to its AI and export features. You can also make a one time purchase of $79.99 and own the account which is good for long term users who don't need constant upgrades.

5- Capsule

Available On:

Web (prefers Chrome)

Pros:
● It is easy to create videos on Capsule and reuse branded design systems.
● You can add dynamic visuals like CTAs, captions and IDs only through a few clicks.
● Capsule has a script-based editing system which means all you need is to delete text to cut the video.
● It has many stylish and animated elements which make the videos look polished without any extra effort.
● Capsule has AI features like audio cleanup, auto-cutting and music suggestions through CoProducer.

Cons:
● Capsule need some manual tweaks for exporting videos across different platforms.
● The effects and workflow on Capsule may seem confusing for some at the start.

Why Choose Capsule?

If you want to make clean and on-brand videos without needing a full video production team, Capsule is best. All you need is to upload a footage, get a transcript and then you can work on editing the video.

You can also highlight the parts of the transcript to add media or visuals. The other features of Capsule also save time, all while polishing the videos. Its CoProducer AI tool helps remove any awkward gaps, suggests music to fit the mood and enhances audio to studio quality. It is best for businesses looking to scale their content across different channels while keeping their brand image consistent.

Pricing:

The Free Plan on Capsule includes standard visuals and basic editing features, while the Enterprise Plan has no public pricing and is given upon request.

• Also read: 7 Free Tools Replacing Costly Creative Software for Budget-Conscious Users

6- invideo AI

Available On:

Web

Pros:
● You can convert prompts directly into ready-to-publish videos on invideo AI.
● It has AI features like text-to-clip and AI voiceover.
● It is easy to edit via prompts on invideo AI.
● invideo AI is best for faceless and B-roll-heavy content.

Cons:
● Some users complain that the interface of invideo AI is a bit confusing at first.
● The lower tier plan of invideo AI limits access to premium stock footage.
● Video generation on invideo AI takes time, but you can multitask when it is processing.

Why Choose invideo AI?

By using invideo AI, you can make videos quickly, especially social media marketers and content creators. All you need to do is type a prompt, set the style you want and audience and hit Generate and your video is done. invideo AI changes your prompt into a script, AI then finds the relevant stick video and then the whole video is built with relevant transitions, music, text overlays and voiceover.

You can then use basic editing tools or edit using prompts to get the end result you desire.

Pricing:

The free plan on invideo AI includes 10 minutes of AI video generation per week and 4 exports with watermark. The Plus Plan starts at $35 per month and you get 50 minutes of video generation per month, unlimited exports, access to iStock footage and no watermark on videos.

7- Peech

Available On:

Web (prefers Chrome)

Pros:
● Peech is best for marketers who need an easy and intuitive workflow.
● It automatically applies brand elements like colors, fonts and logos on videos.
● It has smart face recognition for name or role tags.
● Peech gives customizable subtitles and highlights keywords on videos.
● It has built-in tools for outros, intros, music and background visuals.
● You can also do transcript and timeline-based editing for speed and clarity on Peech.

Cons:
● Peech is a bit expensive as compared to other tools.
● The free plan on Peech is very limited.
● It is not well-suited for casual users.

Why Choose Peech?

Peech is best for marketing teams that need to repurpose and scale their content while keeping their brand consistent. All you need is to upload your Brand Kit, and every video you generate will adapt your style.

The first drafts on Peech are very polished and impressive, which means that you don't need to do much editing.

Pricing:

The free plan includes generating 3 videos a month which include watermarks. The creator plan starts at $250 a month, with 10 video generations, 60 minute upload limit and no watermarks. You also get full access to branding and export features.

• Related: Want to Edit Videos Like A Pro? Use these Best Free and Paid Video Editing Tools in 2025

8- Synthesia

Available On:

Web

Pros:
● Synthesia delivers high-quality and realistic AI avatars.
● It can support 120+ languages and accents.
● It has an easy to use interface for script-to-video creation.
● It has great automation support, like Google Sheets and Zapier.
● It is best for onboarding, training and explainer videos.

Cons:
● The avatars movements can look unnatural on large/full screens.
● There is limited expressiveness on Synthesia as compared to real humans.
● It is not good for dynamic or emotionally expressive content.

Why Choose Synthesia?

Synthesia is best for anyone who needs to create professional-looking videos without stepping in front of a camera. All you need to do is choose an avatar, type your script and pick a voice and Synthesia will create a video that looks realistic.

There are about 125+ avatars and transcript scripts in 120+ languages that you can choose from. You can use different templates on Synthesia to generate videos at scale.

Pricing:

By using a free plan, you can use 9 avatars with 3 minutes duration per video a month. The videos will get watermarked upon exporting. The Starter Plan on Synthesia starts at $18 per month, with 125+ avatars and up to 120 minutes of video duration. It also gives full language support and no watermark is added on the video upon export.

9- Vyond

Available On:

Web

Pros:
● Vyond can quickly generate animated videos from text prompts.
● It combines character animation, AI avatars and video editing.
● There is a lot of help content and tutorials available on Vyond.
● It can also support motion capture via webcam that helps in mapping the movements
● to characters.
● Vyond has good timeline based editing with audio, scene and media controls.

Cons:
● You cannot fully customize the cartoon’s overall art style on Vyond.
● The pricing on Vyong may seem high for users who want occasional or casual use.
● It is not good for general video creators.

Why Choose Vyond?

Vyond is the best video editing software for teams who want to create engaging videos as an explainer, training and internal communication. The AI-powered feature of Vyond called Vyond Go enables you to write a text prompt which then makes a full animated video in minutes.

You can also record yourself on a webcam and use AI to animate your character accordingly. The built-in avatar generator also helps in building avatars.

Pricing:

The stafter plan of Vyond starts at $99 a month, and it can convert to $58 a month through annual billing. You get full access to Byond Go, Vyond Studio and animation tools through the paid plan.

10- revid.ai

Available On:

Web

Pros:
● There are a wide range of templates on revid.ai.
● There are a lot of prompt varieties like tweets, Reddit posts, articles and long-form videos on revid.ai.
● You can access trending TikTok inspiration for videos.
● It also has AI avatars and cinematic storytelling styles.
● There is also built-in content management and social media scheduling.
● You also get free AI tools like Product Video from URL and YouTube Caption Generator on revid.ai.

Cons:
● The output quality of revid.ai may seem inconsistent sometimes.
● You have to do some experimentations to get your required results.
● It is not best if you want creative control completely over your videos.

Why Choose revid.ai?

revid.ai was first a viral TikTok generator and then it became a flexible AI video creation tool with numerous templates for every type of content. You can create videos from social media posts, text prompts, YouTube content, articles, music or even cinematic storytelling prompts.

revid.ai also has a mini avatar creator which lets you build talking characters across videos. If you want hands-free content creation, just activate Auto Mode which will automatically generate daily videos according to your requirements.

Pricing:

Through the free plan on revid.ai, you get access to basic AI tools, with limited editing and video generation tools. The Hobby Plan is $39 a month and you get full access to video editor features, AI avatars, social media tools, TikTok trend integration and Auto Mode.

11- LTX Studio

Available On:

Web

Pros:
● LTX Studio gives users deep and creative control at every stage of video creation.
● It has a system of shot-by-shot video planning and editing.
● It has unique tools for controlling and defining characters.
● It generates stylish posters and pitch decks for each project.
● LTX Studio is best for writers, filmmakers, and creative studios.

Cons:
● LTX Studio has a slow rendering and editing process.
● Its results are not as sharp as other AI video generators.
● You need to invest more of your time and patience to get the best results.

Why Choose LTX Studio?

Now if you want more creative control over your videos, LTX Studio is best as it is designed for creators who want full control over AI-generated short films and narrative content. It gives you a structured pre-production flow so you can edit the videos freely. You can uniquely define each character’s looks, clothing and actions per scene at an almost director like level. It isn't a casual video tool and leans more towards filmmaking, especially if you are developing a story-driven content with compelling visuals.

Pricing:

Through the free plan of LTX Studio, you can generate up to 800 computing seconds. The Lite Plan is $15 a month and generates up to 8640 seconds. Both of these plans are for personal use only. The Pro/Commercial Plan starts at $35 per month.

More Generative AI Video Tools

The ones mentioned above aren’t the only best AI video tools, because there are countless of them available. If you want to explore more generative AI Video Tools that deliver high-quality content, we have made another list of some more tools that you can try out.

1- Pika

Pika has simple controls with shing visuals and light camera movement. It is best for quick and cute results but the animation in videos on Pika is limited.

2- Luma Dream Machine

For dreamy visuals and smooth camera work, you can try out Luma Dream Machine. You can use basic prompts as well and there are creative guides available to help you.

3- PixVerse

PixVerse has good subject movement, but you may find it a challenge in object interaction. But if you want to experiment with generative AI video editing tools, it is a solid option.

4- Hailuo

Hailuo is from China and is a proof that AI is progressing there because Hailuo has strong camera controls and ability to reuse characters from videos.

5- Genmo (Mochi1 model)

Genmo is an open-source generative AI video tool and has a decent object consistency and smooth camera movement.

AI Video Alternatives

There are also some alternatives that you can explore if you want something other than the main apps.

1. Canva is an easy-to-use video editor and now has AI tools powered by Runway.
2. Kapwing is a good alternative to Filmora with similar AI editing tools and AI generated video content.
3. Virbo is Wondershare’s platform for creating AI avatar videos.
4. Munch is similar to Peech and is best for turning long videos into trending shirt clips.
5. HenGen is a competitor of Synthesia, and has good AI avatar creation and voice syncing tools.
6. Visla is an alternative to revid.ai known for its unique AI video creation and editing features.

Read next:

• Looking for the Best AI Logo Generators in 2025? Start with These

• Best AI Tools to Instantly Enhance Photos Without Editing Skills
by Arooj Ahmed via Digital Information World

Google Brings Lens Integration to YouTube Shorts in Beta Rollout

Google is expanding the reach of its visual search tool, Lens, by introducing it directly into YouTube Shorts. The rollout, which began this week, adds a Lens shortcut to the top menu of Shorts videos, giving users a new way to interact with video content.

When users pause a Short, they can launch Lens from the menu bar. From there, they can tap or highlight objects within the video frame to trigger a visual search. This interaction allows viewers to find related information about anything on-screen, such as products, landmarks, or text, without leaving the app.

This Lens-powered feature is being released across both Android and iOS platforms, though only Shorts without affiliate shopping tags will support it. Once Lens activates, a translate option also appears on-screen, making it possible to interpret captions or text shown in foreign languages.

To access the feature, users need to open the YouTube app, navigate to Shorts, and pause the video. From the top menu, tapping the Lens icon launches the tool. Google mentions that a one-time terms prompt will appear during the first use, which can be dismissed easily. Afterward, users can circle, tap, or draw on elements within the paused video to search or translate. Closing the results panel requires either a swipe down or tapping an X icon.

• Also read: How to Use Google Lens for Reverse Image Search on Any Device

YouTube has further outlined the new tool’s availability and usage through its Creator Insider channel, signaling a broader push to integrate Google’s search technologies into video discovery.

The new feature is expected to reach all users within the week as part of a phased global release.



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• Top 10 Best-Selling Smartphones Globally in Q1 2025

• Work-Life Balance Across America Looks Very Different by State
by Irfan Ahmad via Digital Information World

Work-Life Balance Across America Looks Very Different by State

American culture centers on a passion for innovation and hard work, but could it be that certain regions achieve a better work-life balance than others? A new graphic from the team at Qualtrics sets out to answer this question. They’ve created a color-coded map based on the percentage of the past year that residents in each state spent working. Work shapes routines, finances, well-being, and so many aspects of our lives, so data presented like this can create a powerful statement about the state of work culture that can direct our attention to problems, policies, and workforce strengths. The team created the map using data from this academic survey from the University of Maryland and Minneapolis.

Key Findings and Statistics

According to the map, workers in these states spent the highest percentage of the year working:

• Utah
• Mississippi
• North Carolina
• Alabama
• Colorado
• South Dakota
• Pennsylvania
• West Virginia
• Arkansas
• Minnesota

Residents in these states spent the least amount of time working last year:

• Connecticut
• Michigan
• South Carolina
• Oklahoma
• Illinois
• Kentucky
• Oregon
• Washington
• Texas
• Massachusetts
• New Hampshire
• Ohio
• Wisconsin

Looking at the maps color-coded patterns, it appears that states in the South generally spend more time working than northern states, though there are some stand out exceptions, like Oklahoma and South Carolina. The national average of minutes worked in the year is around 110,000 minutes. This helps us judge outliers and find patterns. For example, we can see most states in the Northeast worked a bit more than average, with a major exception for Connecticut. In fact, Connecticut residents spent the least time working out of any state in the country.

High-Intensity Work Areas

Examining trends in the states with the highest percentages might reveal why workers are spending so much time on the job. The five states with the highest percentages were Utah, Mississippi, North Carolina, Alabama, Colorado, and South Dakota.

We can analyze why some of these states have the highest averages due to regional factors. For example, Utah has a lower unemployment rate than the national average, so that can mean people work a lot because jobs are plentiful or Utah residents are especially hard-working, fitting in multiple jobs, full-time work, and overtime.

Another common factor the data shows us is that low-wage states have higher work hours. Many of these happen to be southern states, like Mississippi, Alabama, South Dakota, and West Virginia. Lower average wages mean that workers have to take on longer hours just to afford necessities and make ends meet. Some of these states, like Mississippi, are hubs for the manufacturing industry, which often demands longer hours. Some of these jobs belong in the low-wage category as well. These states are pointing toward poor work-life balance with long, difficult hours. Another factor that can lead to people needing to work longer hours is cost of living, which can vary quite a bit from from state to state. In Colorado, for example, the cost of living is higher than the national average, which means residents there might need those extra hours to afford shelter, food, and so on.

Work-Life Balance Leaders

On the other end of the spectrum, some states are leading the way in work-life balance. These include Connecticut, Michigan, South Carolina, and Oklahoma. Interestingly, these outlier states aren’t united by region, they represent areas all over the country. What can we learn from their data? Factors outside broader region must be at play to influence their work-life balance.

For example, Connecticut residents worked the least due to the prevalence of part-time work in this state. Connecticut employs more part-time workers than most other states, which means less hours for workers. Factors that might make this possible are tourism leading to rushes in part of the year and lulls in others, high-paying service industry jobs that provide strong tips, and a thriving freelance or entrepreneur culture.

The cost of living could have an impact yet again. Oklahoma has some of the lowest housing costs in the country, meaning less staring on wages and the ability to work fewer hours. South Carolina is also relatively affordable compared to many other states. Pair this with culture and we might have an idea of why these states are leading in work-life balance. Southerners are known for a more relaxed lifestyle, perhaps influenced by a hot climate leading to high noon breaks for the heat.

Industry Factors

The prevalence of certain industries certainly impacts how many hours workers are logging. Manufacturing is a demanding job with long hours, which we can see reflected in the high work hours found in Mississippi, a manufacturing hot spot. The medical industry is known for requiring high work hours out of nurses, doctors, and support staff alike. We may be able to see this reflected in the data when looking at states with some of the largest and most well-known hospitals. Agriculture and logging require demanding schedules too, which might explain why so many Midwestern states and states in the Pacific Northwest have higher than average work hours. Not all the data holds true though. The tech and IT industry are known for long hours, and we know that Silicon Valley in California is the center of tech innovation, but the state shows lower than average work hours. Perhaps this industry has mastered the balance between work demands and a healthy lifestyle?

Socioeconomic Implications

Studies like these are important because time spent on the job closely correlates with other quality of life metrics. High work hours put strain on busy families. Strenuous physical jobs can take a toll on physical health. Lots of business and time spent at work can signal a booming local economy or it can mean a community that doesn’t have the time and resources to support other industries like restaurants, entertainment, and leisure.

Natural questions follow studies like these. Do higher work hours mean higher profits for businesses? Do workers that log more hours earn significantly more money? These are all important questions that could lead to valuable studies stemming from this one. When data and studies affect so many people as in this case, it can be difficult to draw reliable conclusions, and the only solution is a push for more data collection and studies like this one.

Looking to the Future

This study is useful for anyone looking to examine why certain regions might have longer work hours, the differences between industries and cultures, and provide insight and evidence for change-makers concerned with working conditions and worker rights. The COVID-19 pandemic had a major impact on the way we work, so it might be fascinating to re-examine this data in a few years since the workforce is changing rapidly. Did the chart make you examine your own work-life balance? Sometimes graphics like this prompt us to reflect on our own lives and see how we fit into a wider picture.

Take a careful look at all the rich data Qualtrics collected. You’re sure to find facts we haven’t mentioned and add your own insight to the story this graphic tells.

Read next: Top 10 Best-Selling Smartphones Globally in Q1 2025

by Irfan Ahmad via Digital Information World

AI Tool 'YouTube-Tools' Scrapes Comments to Build User Profiles, Raising Privacy Alarms

A controversial web service called YouTube-Tools is now offering AI-generated background reports on YouTube users—based entirely on the comments they’ve left across the platform. For $20 a month, anyone with an email and a credit card can use it to gather inferred data about another user’s location, language, and cultural or political views.

The tool operates by scraping YouTube comment data—up to “20 billion comments” from “1.4 billion users,” according to the site—and feeding it into a custom AI model based on technology from French startup Mistral. Within seconds, the system returns a written summary of the user’s possible region, interests, and behavioral patterns.

The developer behind the tool has a track record. This is the latest in a suite of OSINT-style tools, which include LoL-Archiver (originally built to investigate League of Legends usernames), nHentai-Archiver (for tracking comments on the adult manga platform), Kick-Tools (which surfaces user chat and ban history from Kick), and Twitch-Tools (which indexes public chat logs from over 39,000 Twitch channels).

While the developer insists these services are intended for law enforcement agencies, journalists, and private investigators, access is immediate—no license check required. A representative told 404 Media that the site uses a "targeted KYC" process, but in practice, it allows anyone to register and begin scraping data within minutes. The site’s own Terms of Service say it's restricted to licensed professionals, yet there’s little friction in place to prevent casual or malicious use.

The developer, who claims to be based in Europe and have a background in OSINT (open-source intelligence), reveals that law enforcement agencies in Portugal, Belgium, and other EU countries are already using the tools. They’ve also stated that access is revoked for users with "illegitimate purposes," though one cited example involved merely identifying a temporary email address.

YouTube’s policies explicitly prohibit unauthorized scraping. According to its documentation, “public search engines may scrape data only in accordance with YouTube's robots.txt file or with YouTube's prior written permission.” Whether YouTube is enforcing that rule in this case remains unclear—the company did not provide comment so far.

The AI summaries, currently unique to the YouTube-Tools product, are designed to streamline what might otherwise be a time-consuming review of comment histories. In one test, the system linked a user to Italy based on language and cultural references, and flagged patterns in their social commentary without identifying explicit political leanings.

Still, experts warn that tools like this blur the line between public data analysis and digital profiling. The ability to scrape, index, and infer personal details at scale—especially without oversight—opens the door to abuse. Researchers have already observed some harassment-focused online groups experimenting with the developer’s other tracking tools.

With similar platforms—like the now-defunct Discord scraper Spy Pet—having already been banned, the rise of YouTube-Tools signals growing tension between open internet data and individual privacy. While the comments are public, users rarely expect them to become fuel for AI-powered profiling.

As aggregation becomes indistinguishable from surveillance, the question isn’t whether your data is out there—it’s who’s putting it together, and why.

Image: DIW-Aigen

Read next:

• How Student Responsibility Shapes AI Use and Academic Success

• 11 Best AI Logo Generators and Logo Makers for 2025
by Irfan Ahmad via Digital Information World

Looking for the Best AI Logo Generators in 2025? Start with These

Before AI, dedicated graphic designers used to create logos which would take a lot of time and effort. But now designing logos have become accessible to everyone, thanks to AI-powered logo makers.

But there are so many AI-logo makers in the market which makes it hard to find and pick the right one. If your logo is poorly designed, it can hurt your brand so it is important to always design the right logo with the right tool.

90% of the first impressions of your brand comes from logos and they need to show what you actually are and what you do. This is the reason it is very important to make a unique and memorable logo. Now that we have AI, it has become easier to design logos and explore different layouts, styles and color schemes.

So, now it has become very important to incorporate AI when you are logo designing. We have compiled the top 11 best AI logo-makers for you that can help you make your logo stand out.

How to Make Logos with AI Generators?

There are many AI logo design tools, and they work best when there is some human creativity involved. It is important to use these AI logo generators as assistants, not replacements and that can help you work faster. To create logos using AI generators:

1- Enter Information About Your Brand:

The first step is to select an AI logo maker which fits you (and your needs) the best. Then you need to provide the AI logo maker with details like:

● Your brand name or business
● Tagline (if you have one)
● Style Your Prefer (like playful, modern or minimalist)
● Colors, Icons and Fonts you want in your logo

2- Customize the Design:

AI logo makers don't always make perfect designs so you have to try and try again. Most of the AI logo makers have tools that let you change spacing and layout, fonts, colors and icons and different variations of the logos. So you have enough room to show your creativity and make improvements.

3- Refine and Finalize:

Once you are sure about the base design, then comes the step to refine it. This is the time to test your logos in different formats and sizes. You can also ask for feedback or work with a designer to polish your logo.

Benefits of Using An AI Logo Maker

There are several benefits of using an AI logo maker like faster, cheaper and more accessible designing. But you need to keep in mind to not rely on AI only as you need human creativity as well to make your brand’s logo unforgettable. Some of the benefits of using AI logo maker are:

1- Cost Effective:

Traditional design services are costly, but AI tools are cost effective which makes them best for small businesses and startups which have a budget.

2- Time Saving:

AI logo makers save a lot of time as you can generate several logos in minutes. It also speeds up the brainstorming phase so you can move to the next step faster. AI tools provide you with enough tools to think fast and be creative.

3- Versatility:

AI logo makers are very versatile and you can try out different icons, colors, fonts and styles with ease. You can have enough options and combinations that can help you see what your brand’s identity really is.

4- Scalability:

One of the advantages of using AI logo makers is its scalability, and if you need lots of logos fast for different campaigns, sub-brands or different markets, AI can help you deliver with consistency, but human expertise is still a key.

What Things to Look for in AI Logo Makers?

One thing is for sure that not all AI logo makers have the best performance so it is very important to choose the ones which deliver high-quality results. When you are choosing an AI logo maker, it is important that you look for some factors that make them different from all those AI logo makers in the market. Some of those factors are:

1- Quality of Work:

The best AI logo makers have the quality of producing high-grade logos in different styles. The logo makers should be capable of generating all kinds of styles, from modern and minimalist to classic and playful.

2- Customizable Options:

The AI logo makers should have flexibility and customizable options because it is important when you want to generate a specific brand image. It is important to have full control over tools like color palettes, fonts & typography, layouts and composition, icons & symbols and style presets. But most of the free AI logo makers often have limited ability to make the specific designs you want.

3- User Experience

When you are working with an AI logo maker, usability and speed are the most important. The interface of the AI logo maker should be easy to use, with clean design layouts and should also be fast to generate designs. The tools should be easily accessible and you should feel that you have control over them.

4- Integration and Expert Options

When you have designed a logo, it is important that it works everywhere from web to print to product packaging. So you have to look for an AI logo maker that has high resolution exports (SVG, PNG, PDF, EPS), transparent background support and easy integration with software like Figma, Adobe Illustrator, Canva, etc.

5- Smarter AI Capabilities

When an AI logo maker has a smart AI tool, it means that they don't just generate logos, they learn according to user needs. When you are choosing an AI logo maker, make sure that it adapts to your brand guidelines, generates context-aware design options and refines outputs based on feedback.

Now that you have learnt everything about what to look for in an AI logo generator to enhance your brand image, we will now proceed to the list of some of the best AI logo makers that can help you generate unique logos.

11 Best AI Logo Generators in 2025

2025 is packed with the best AI logo generators in the market. But when there are a lot of options, starters get confused about which ones are the best ones. When you are working professionally, you don’t have time to try different AI logo generators to find the best ones as it is simply can consume a lot of your time. So, we have made it easier for you by making a list of the 11 best AI logo generators as they have all the qualities that we have mentioned above. The AI logo generators to try in 2025 are:

• Looka
• Designs.ai
• LogoAI
• Tailor Brands
• Logomaster
• Logomakerr
• Logo.com
• Brandmark
• Logopony
• Brandcrowd
• DesignEVO

1- Looka

Let’s take a look at features of Looka:

Features:
● AI-generated websites
● Brand kit generation
● Merch and collateral mockups
● AI logo generator
● Customizable designs

Why to Choose Looka?

Looka is one of the most popular AI logo makers because of its easy-to-use interface which guides the users through every step of design making. It will ask you your brand name, industry, color preferences and logos you like to deliver something close to your liking.

As you browse ideas and choose some of your favorite designs, Looka AI gets smarter and gives you more tailored options. You can then select a logo you like, make it customizable and preview how it will look on business cards, merchandise and other materials.

Pricing:
The one-time logo pricing on Looka starts from $20, while branding and web-packages start from $96 a month.

Based In:
Looka is based in Toronto, Canada.

Best for:
Looka is best for new brands that need a logo and full branding kit quickly and in an affordable way.

2- Designs.ai

Design.ai has following features:

Features:
● AI logo maker
● AI copy and SEO writer
● AI voice overs
● Text-to-image generator
● Video generator
● AI-powered graphic design

Why to choose Designs.ai?

Designs.ai doesn't only generate logos, it also helps you in generating a full brand identity package, including all the collateral. You need to have a subscription for Designs.ai to have full access to its creative suits, like AI tools for images, videos, voiceovers and more. It is a great option if you want to explore AI in logo generators.

Pricing:

Its pricing starts from $19 per month.

Based In:

It is based in Singapore.

Best for:

Designs.ai is best for enterprises and freelancers who need an AI logo generator for their regular creative needs.

• Also read: Try These Prompts in AI Chatbots To Go Deeper into Your Questions and Issues

3- LogoAI

Some of the features of LogoAI are as follows:

Features:
● AI logo creator
● Visual identity
● Brand collateral

Why to choose LogoAI?

LogoAI is an AI logo generator which makes it easy to create logos and brand collateral like templates, business cards and social media content in just a few clicks. It has a very easy to use interface, and has an ability to generate unlimited logo designs. But you can only download the logos when you pay for them. There's no free trial for LogoAI and some people say that its brand kit isn't as polished as some of its competitors.

Pricing:

The one-time logo pricing on LogoAI is $29-99.

Based In:

LogoAI is based in Shanghai, China.

Best for:

LogoAI is best for small businesses and freelancers who need a quick AI logo generator.

4- Tailor Brands

Some of the features of the AI logo maker of Tailor Brands are:

Features:
● AI logo designer
● Business registrations
● Financial compliance
● Brand collateral
● Banking and insurance
● Web domains and email

Why to choose Tailor Brands?

A business development program, Tailor Brands offers services like company registration, web hosting and financial compliance, all under one subscription. Moreover, Tailor Brands also had a solid AI logo maker. Even though style options are limited (like monogram, wordmark, or icon), it is a great place to create and customize a basic logo. You can edit logos however you want and download them in different formats.

Pricing:

You can get pricing for Tailor Brands upon request.

Based In:

It is based in New York, USA.

Best for:

Tailor Brands is best for startups in the US looking for full business startup services.

5- Logomaster

Logomaster has the following features:

Features:
● AI logo design
● Website builder

Why to choose Logomaster?

Logomaster is a good choice if you want to make a quick logo, without any hard work. It is a fairly straightforward AI logo generator, which is fast and reliable when it comes to logo generation. All you need to do is enter your business name, then choose icons and colors you want, and you will get instant logo options that you can choose from.

Logomaster also partners up with Wix to help you build a basic website for your brand.

Pricing:

$15-$70 is one-time pricing on Logomaster.

Based In:

Logomaster is based in Hong Kong.

Best for:

Freelancers and startups who need basic branding can take help from Logomaster.

• Related: Best AI Tools to Instantly Enhance Photos Without Editing Skills

6- Logomakerr

Some of the features of Logomakerr are:

Features:
● AI logo creator
● Visual identity
● Brand collateral

Why to choose Logomakerr?

There is a one-time payment model on Logomakerr which means that you only pay when you have made and finalized your logo maker and now need to download it. You also get options to add extras like letterheads, branding kits, posters, templates and business cards.

Even though most of the logos on Logomakerr are basic, it is a good option if you need a quick logo at an economical rate.

Pricing:

The one-time pricing of logos on Logomakerr is $29-$99.

Based In:

It is based in the United States.

Best for:

Logomakerr is best for startups that need quick and affordable AI logo generators.

7- Logo.com

Features of Logo.com are as follows:

Features:
● AI logo creator
● Business name generator
● Website builder
● Brand kit and merch
● AI design tool

Why to choose Logo.com?

Just like other logo makers, Logo.com aleo generates logo options based on the style, name and color preferences of your business. You get enough room to customize icons, fonts and layouts on Logo.com, as well as some extra tools like AI website builder and business name generator.

It is a great tool if you want to brainstorm ideas and then refine them with a designer to get what you want as a final result.

Pricing:

Logo.com has a free option and its paid version starts from $10-$13 per month.

Based In:

Logo.com is based in Vancouver, Canada.

Best for:

New businesses that need a logo can take advantage of Logo.com the most.

8- Brandmark

Features of Brandmark include:

Features:
● AI logo generator
● Brand guidelines
● Basic brand kit
● Custom logo concepts
● Icons
● Social media assets

Why to choose Brandmark?

There are different tools for logos for business cards, style guides, social media covers and icons so users get enough options when it comes to logo generation. The top-tier package of Brandmark also offers ten custom logo concepts from human designers so users can get some inspiration.

Brandmark is a good choice for an AI image generator if you have a rough idea of what you want and need expert advice and help to refine the idea into final logo design.

Pricing:

The one-time pricing on Brandmark is $25-$175.

Based In:

It is globally distributed.

Best for:

Brandmark is best for small to mid-sized businesses which want help in designing logos with AI tools.

• You might like: Want to Edit Videos Like A Pro? Use these Best Free and Paid Video Editing Tools in 2025

9- Logopony

Some of the features of Logopony are:

Features:
● AI logo maker
● Design resources
● Company name generator
● Brand kit and social media assets

Why to choose Logopony?

Logopony offers what people call ‘curated randomness’ as it helps users create unique colors, fonts and layout combinations that go well with your company or brand. It also has an inspiration tool that helps users with design tips.

Even though Logopony is slightly pricier than other AI logo generators, it stands out because of its flexibility and creativity.

Pricing:

The price for one-time logo generation is $20-$85.

Based In:

Logopony is based in Tallinn, Estonia.

Best for:

Logopony is best for businesses that want creative AI logos but with thoughtful branding kits.

10- Brandcrowd

Some of the features of Brandcrowd are as follows:

Features:
● AI logo generator
● Business name generator
● Custom logos
● Brand kit
● Design editor

Why to choose Brandcrowd?

Brandcrowd is an AI logo generator which offers custom logos for sales, social media assets, business cards, letterheads and more. Brandcrowd is also known for having design options that are more customized and creative so you can test many options that suit you the best.

Pricing:

The pricing for Brandcrowd is given to you upon request.

Based In:

It is based in New South Wales, Australia.

Best for:

Brandcrowd is best for businesses looking for AI logos with more customizable options.

11- DesignEVO

Some of the features of DesignEVO include:

Features:
● AI logo maker
● Logo design template
● Design tips and resources
● Free low-res download

Why to choose DesignEVO?

If you need an AI logo generator just to generate ideas for your logo, DesignEVO is best. There are templates on DesignEVO which you can use to design your logo from scratch and then you can download a free low resolution version of that logo. To get full access and copyrights, you have to pay for it.

Pricing:

The pricing for DesignEVO starts at $49.99-$99.99 one-time and is free for low-resolution results.

Based In:

DesignEVO is based in Hong Kong.

Best for:

DesignEVO is best for testing and idea generation of logos before handing them to a human professional.

Conclusion:

Now that you have taken a look at 11 best AI generators, you can check them out yourselves and see how they are perfect for designing and customizing logos. Although some are paid and have subscriptions, the things that make them worth it are their high-quality results, easy-to-use interface and tools, and many options to make changes in the logos. After you design your logo after using one of these tools, you will see how your brand image is shining a little bit more and how much your logo stands out among the boring and generic ones. Also remember that you can use all AI logo generators you want, but you cannot make a perfect logo without human expertise and input. So, make sure to only use AI logo generators for brainstorming and making rough designs of the logo and then take inspiration from designers and logo experts to make a more refined version of the design. A logo can only standout if it has a bit of human touch!

Read next: 7 Free Tools Replacing Costly Creative Software for Budget-Conscious Users
by Arooj Ahmed via Digital Information World

How Student Responsibility Shapes AI Use and Academic Success

A new study shows that students who are more responsible and hardworking are less likely to use AI tools like ChatGPT to help with schoolwork. And when students lean too much on these tools, it can actually hurt their learning. They tend to feel less confident, do worse in their classes, and often feel like no matter what they do, it won’t make a difference.

ChatGPT and similar AI tools can write essays, explain things, and even hold a conversation. They’re tempting when deadlines are tight and stress is high. But while they can offer a quick fix, they may not be helping students in the long run.

The study followed over 300 business students from three universities in Pakistan. Researchers wanted to see how personality traits affected students' use of generative AI, and what the results were. The study was done in three steps: first, students answered questions about their personality and how fair they thought their grades were. Later, they shared how often they used AI for school. Last, they reported how confident they felt in their academic skills, how helpless they felt, and what their grades were.

Out of all the personality traits they looked at, one stood out: conscientiousness. Students who were more organized, disciplined, and goal-focused were much less likely to rely on AI for their work. These same students tended to have higher grades, felt more in control of their success, and didn’t feel as helpless when things got tough.

Interestingly, students who were open to new experiences or who tended to be more anxious didn’t show clear patterns when it came to using AI. Even though you might expect curious students to use new tech more, that wasn’t the case here. One possible reason: they may enjoy thinking for themselves and prefer doing things their own way.

Another finding: students’ opinions about whether their grading system was fair didn’t make much difference in how much they used AI. Only one small connection showed up—students who were both open to new experiences and thought the grading was fair used AI a bit less, but this link wasn’t very strong.

What really stood out was how using AI seemed to affect students. Those who used AI more often said they didn’t feel very confident in their academic abilities. Many also felt like trying hard wouldn’t help, which is a warning sign of learned helplessness. On top of that, they had slightly lower grades overall.

This suggests that while using AI might save time, it could also chip away at a student’s belief in themselves. If someone starts to think they can’t succeed without help from AI, they may stop trying as hard, especially when facing a challenge. Over time, that mindset could turn into a habit—and not a healthy one.

The study also found that conscientious students performed better partly because they didn’t rely on AI. Their good study habits and sense of responsibility seemed to protect them from the downsides of using these tools too much.

Even though this research focused on business students in Pakistan, it points to a bigger question that schools everywhere are starting to face: how should we deal with AI in the classroom? If students start letting AI do the heavy lifting, they might miss out on the kind of learning that builds real skills—like critical thinking, problem-solving, and resilience.

The researchers say it’s not about banning AI. Instead, the key is helping students use it wisely. When used the right way, AI can support learning—helping students brainstorm, check their writing, or think through new ideas. But if it becomes a crutch, it can hurt more than help.

Going forward, the researchers want to look at how AI affects students in the long term—especially things like creativity, independence, and how ready they are for the job market. They also want to figure out what kinds of training or support could help students use AI in a way that boosts learning, not replaces it.

In the end, the message is simple: AI is a tool, not a shortcut. If students overuse it, they might lose touch with the very skills school is supposed to build. And that’s something teachers, schools, and students themselves should keep in mind.

Image: DIW-Aigen

Read next: AI Alters Graduate Hiring as Tech Companies Prioritize Experience Over Fresh Talent
by Irfan Ahmad via Digital Information World

Google Rejects Claims AI Search Is Draining the Web, Says Queries Are Rising

Google CEO Sundar Pichai has pushed back against growing concerns that the company's AI-powered search features are hollowing out the internet. Despite ongoing criticism from publishers and industry groups, Google insists that its new search tools are leading to more engagement — not less.

Over the past year, Google has gradually shifted its search platform toward AI-generated summaries and conversational results. This change, now branded as “AI Mode” and “AI Overviews,” offers direct answers instead of just links. That shift has triggered backlash from digital publishers who say their traffic is vanishing and their content is being used without fair return.

Groups representing media organizations argue that the few remaining benefits of Google Search — mainly link-based traffic — are now disappearing. Some describe the new system as an aggressive takeover of content that strips away credit, clicks, and context.

But Google doesn’t see it that way. The company's CEO, in a recent interview, claims that AI features are leading to longer, more detailed queries, and more people are exploring different types of information across the web. According to internal data, Google has recorded query growth even on platforms like Apple’s Safari — where reports recently suggested a dip in user activity for the first time in decades.

In Google's view, the structure of online discovery is evolving, not collapsing. The company argues that it continues to direct significant traffic to outside websites and says it’s indexing more pages than ever before. Google believes its AI-driven model still plays a vital role in connecting users with content creators.

Some in the tech industry aren’t convinced. Critics point to patterns showing user behavior shifting away from clicking links and toward accepting answers directly from Google’s results. They argue that while queries might be increasing, website visits are not — and that’s what truly matters for independent publishers.

Google, however, remains committed to its strategy. The company maintains that AI Mode isn’t designed to replace publishers, but to organize information more effectively. Executives say users are being sent to a broader range of sources than before, especially for topics that benefit from multiple perspectives.

As the debate continues, the company is trying to strike a balance between advancing AI features and keeping the web’s content ecosystem alive. Google says it is aware of its responsibilities and continues to refine how it presents and sources information.

At the same time, the company is betting big on AI. Executives say the technology will drive a new wave of innovation, possibly even surpassing the impact of the early internet. Google expects to see entirely new industries emerge, powered by smarter tools and fresh approaches to how people search, learn, and interact with the digital world.

For now, tensions remain. Publishers want compensation and visibility. Google wants progress and user satisfaction. And in the middle, the web keeps shifting — one query at a time.

Image: DIW-Aigen

Read next: Study Shows Popular AI Chatbots Easily Bypass Safety Filters Using Known Jailbreaks
by Irfan Ahmad via Digital Information World

Study Shows Popular AI Chatbots Easily Bypass Safety Filters Using Known Jailbreaks

Despite all the talk about safety, today’s AI chatbots are still wide open to being tricked — and the consequences could be much worse than most people realize.

A research team from Ben Gurion University in Israel dug into how vulnerable language models really are, especially when it comes to so-called "jailbreaking" — a way of bending the rules and making the models respond in ways they’re not supposed to. What they found paints a pretty troubling picture. Not only are mainstream models like ChatGPT still falling for old tricks, but even the biggest tech companies aren’t doing much to fix the problem.

The researchers didn’t need to invent anything new. They simply used a known jailbreak method that had already been floating around online for months. When they tried it out on popular AI systems — the kind used by millions every day — the results were shocking. The filters designed to block unsafe or illegal content broke down easily. The models gave up answers on everything from how to commit fraud to making explosives, and in some cases, they even offered extra details no one asked for.

That’s not just a slip-up — that’s a sign that something’s deeply broken under the hood.

To make matters worse, the team developed a broader jailbreak method that worked across most of the models they tested. This wasn’t a one-off fluke; it was a pattern. And when they reached out to the companies behind these models? Most didn’t respond. A few deflected responsibility, suggesting the issue was outside their scope. Meanwhile, the vulnerabilities stayed wide open.

The situation turns even darker with open-source AI models. Unlike corporate platforms that can be updated or patched, open-source versions can’t be pulled back once they’re out in the wild. If someone downloads a version of a chatbot with no restrictions, it’s out there for good. Shared, copied, archived — it can’t be un-leaked.

And right now, these so-called "dark LLMs" are multiplying. Some are openly advertised for their lack of ethics and willingness to help with hacking, scams, or worse. You don’t need a supercomputer to run one. In fact, anyone with a decent laptop can get access — and that includes kids.

Jailbreaking, once a niche hacker hobby, has turned into a booming underground trend. There are entire online communities dedicated to crafting prompts that fool chatbots into saying what they shouldn’t. One subreddit has over 140,000 members sharing tips on how to slip past safeguards like it’s a game. The truth is, these models don’t need much convincing — just the right kind of nudge, and they’ll spill the beans.

That’s where the real concern lies. If a 16-year-old can jailbreak a chatbot in under a minute, what can a cybercriminal or extremist group do?

Some defenses are being tested — AI firewalls, data filters, even techniques to “unlearn” specific information after a model has already been trained. But they’re not widely adopted, and so far, the progress has been patchy at best. A few companies have launched tools to detect harmful prompts or responses before they go through, but there’s no universal fix, and no guarantee these methods will keep up with the latest jailbreak tricks.

The problem isn't just technical — it’s also cultural. The AI industry moves fast, and safety often gets left in the rear-view mirror. Everyone wants to be first, but few seem willing to slow down and deal with what’s already slipping through the cracks.

The bottom line? These systems can be incredibly useful. They help with research, translate languages, write code, even assist in medicine. But when they start giving out step-by-step instructions for crimes or violence, that usefulness turns into something dangerous.

This isn’t science fiction. It’s happening right now, in plain sight. And if nothing changes, the same technology that’s meant to help us may just end up in the wrong hands — if it hasn’t already.

Image: DIW-Aigen

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Meta’s Top AI Voice Breaks Down What Real Intelligence Demands, And Why Machines Still Don’t Measure Up

At a recent summit in Paris focused on AI policy and progress, Meta’s head of artificial intelligence Yann LeCun shared a stripped-down view of what it truly means to be intelligent. While many companies push boundaries with language models and generative tools, he argued that current systems are missing the fundamentals that even ordinary animals grasp intuitively.

In his view, four abilities lie at the core of genuine intelligence that is understanding the physical surroundings, storing memories that last, reasoning through problems, and planning with structure — especially when the steps require hierarchy. These aren’t abstract goals; they’re everyday survival tools in nature.

Modern AI, he noted, doesn’t yet check those boxes. Instead of developing models that genuinely learn how the world works, most companies are adding extra parts to cover weaknesses. A computer might learn to describe what it sees by adding a separate vision module. Or it might pull facts from databases to simulate memory. But stacking components on top of text-based systems, he warned, doesn’t replicate how thinking minds function.



He believes the fix won’t come from upgrades—it’ll come from changing direction. That means building systems that think in terms of cause and effect. Give a machine a sense of what’s happening right now, let it imagine taking an action, and train it to forecast what changes that action might cause. That loop—observe, act, predict—is how living things adapt.

But life doesn’t follow scripts. Events unfold in unpredictable ways, with details that often don’t matter. So rather than trying to predict everything, he said AI needs to learn abstraction. Humans have done this for centuries. Chemistry, for example, became manageable when scientists stopped thinking about every atom and started thinking in layers—particles, atoms, molecules, then materials. At each level, unnecessary information gets filtered out.

That approach—learning by organizing the world into usable layers—is what Meta’s team is now pursuing. Earlier this year, the company released a research model named V-JEPA. Unlike tools that try to guess every pixel in a picture or frame in a video, V-JEPA focuses on the underlying patterns. It learns by noticing what’s missing and figuring out what should be there, without getting distracted by details that don’t carry meaning.

The long-term hope is to teach machines to think less like machines. Not just to respond with plausible answers, but to build a quiet, internal logic—a map of the world they can use to reason and plan. For now, that goal remains out of reach. But if intelligence can be broken down into parts, Meta seems determined to build the missing ones.

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by Irfan Ahmad via Digital Information World