Category: Technology

Samsung Galaxy S27 Ultra leak reveals four rumored color options

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What you need to know

  • The Galaxy S27 Ultra will reportedly launch in Black, White, Blue, and Light Pink.
  • These initial options are designated as “base” colors, meaning they should be available through general carrier and retail channels rather than locked to Samsung’s website.
  • Following Samsung’s typical playbook, additional store-exclusive finishes will likely follow at launch beyond the core four.

The rumor mill is already buzzing with Samsung’s next high-end flagship, and the latest details are about the color options. According to a new leak, the upcoming Galaxy S27 Ultra will be available in four standard colors: black, white, blue, and light pink.

These colors, as per leaker Ice Universe, are said to be the four “base” colors of the phone. That language may suggest that they’re meant for broader retail distribution rather than being exclusive to Samsung’s online store.



How Meta stumbled onto a winning AI strategy

Posted on by faz_business



We’re on the brink of a revolution in how people use AI.

Today, people mostly use non-agentic, non-personalized, non-proactive AI tools via PC browsers and mobile apps.

Very soon, I predict, most AI usage will move to agentic, personalized, and proactive AI assistants via wearables like glasses, watches, and earbuds.

We’ll move from mostly typing and reading to mostly talking and listening.

This is a much bigger shift than it sounds. It moves AI from its current status as an external tool that we use to a future status of being part of us, a kind of prosthetic technology like eyeglasses, hearing aids, or an artificial knee.

(People use chatbots now for writing assistance [74%], learning and research [64%], work productivity [58%], creative projects [41%], personal organization [37%], and health and wellness [19%]. It’s reasonable to predict that people will continue to use PCs and phones for writing, coding, and image generation, but wearables for the rest.)

Surprisingly, one of the least visionary companies in technology currently has the best vision.

Meta’s product-vision blunders include the metaverse boondoggle and Horizon Worlds, the failed Facebook Phone, the Libra/Diem cryptocurrency fiasco, missing TikTok’s rise until it was too late, losing mobile platform control to Apple and Google, and its unsuccessful enterprise tool called Workplace.

More to the point, Meta has a recent history of AI chatbot failures. The company’s 2022 release of BlenderBot 3 ended in scandal after the chatbot was caught spouting antisemitic tropes, false claims about the 2020 US election, and criticism of Meta CEO Mark Zuckerberg.

Also that year, Meta released Galactica, which was trained on scientific papers, textbooks, lecture notes, encyclopedias, scientific websites, and other data, but nevertheless hallucinated wildly, fabricating citations and inventing scientific claims.

In 2023, Meta released chatbots modeled on celebrities including Snoop Dogg, Kendall Jenner, and Tom Brady, but they flopped with users and were shut down less than a year later.

A safety study by Common Sense Media, published in August of last year, found that the Meta AI chatbot embedded in Instagram and Facebook actively participated in planning suicide and self-harm with teen users, reinforced dangerous details about eating disorders, and consistently failed to offer crisis resources when teens were in distress.

A Reuters investigation published that same month exposed an internal Meta policy document that explicitly allowed the company’s AI chatbots to engage in romantic and sensual conversations with users on platforms available to children as young as 13.

Meta’s record with chatbots has been what you might call less than stellar. Until this month, when the company released Muse.

Suddenly, Muse

Meta released Muse on Sept. 8 to positive reviews; the company claimed it’s the world’s first personal AI agent built for everyone. It surged to the top of Apple’s and Google’s app stores. Intelligencer called it “an actual hit.”

Muse is currently based on the Muse Spark 1.3 model and is available on iOS, Android, the web at muse.ai, and through WhatsApp in the US to adults only. Muse’s three pricing tiers are: free (up to 100 million tokens per week), Power at $20 per month (500 million tokens per week), and Maximum at $100 per month (3 billion tokens per week). The app has no ads.

Unlike most of the chatbots people use, Muse is proactive, which means it brings things up out of the blue, rather than waiting to respond to input. Still, it’s not a unique feature. Gemini Spark is the closest competitor to Muse on proactivity. Alexa+ is somewhat proactive. Claude Dreaming is the most interesting proactive-memory concept but is developer-facing.

Muse asks user permission to connect to apps, after which time it can read and send emails, book travel, lower bills, fill out forms, create plans, turn saved recipes into grocery lists, send party invitations, and make purchases.  (Muse runs in a dedicated cloud virtual machine called the Muse Secure VM, which has its own browser.)

The tool can call a company, then connect the user when a company representative picks up. It can opt out of and unsubscribe from various services and publications for users. It can monitor flights and hotels, looking for lower prices.

The website useofmuse.com is a curated collection of the many ways people are using Muse.

Muse does some interesting technical gymnastics to authorize access to people’s accounts without actually using their credentials.

Through published media reports and my own tests, we’ve learned that Muse does make mistakes. For example, it’s been caught recommending restaurants that have been closed for years.

Some of the phone calls made by Muse are actually made by human contractors, according to leaked internal posts.

Retailers including Walmart, Best Buy, American Eagle Outfitters, DICK’S Sporting Goods, Fanatics, Gap, Michael Kors, Sephora, Ulta, and Wayfair are facilitating Muse purchases. Amazon has blocked Muse from facilitating Amazon purchases.

The agent will also get its own email address, according to Meta, so users can chat via email.

Muse’s avatar is a cute, Labubu-like cartoon character named Jolly. When it’s doing agentic work, Jolly types on a laptop. It’s an oddly childish mascot for an adults-only product.

With the avatar, Meta is brazenly entering the attachment economy, the new model that follows the attention economy.

Meta’s entire social media success was based on winning in the attention economy, where advertising-driven platforms treat human attention as a scarce commodity to be captured and monetized via the promotion of outrage-bait, tribalism, sensationalism, fear, graphic violence, sexual content, celebrity scandal, conspiracy theories, AI slop, and algorithmically amplified extremism.

The attachment economy is different and worse. That model seeks to grab attention and user loyalty by making users emotionally attached to AI products. The attachment economy business model wants users to like, love, and even need the fake personalities expressed through AI.

Meta also announced its Muse Charm, which is roughly pocket watch shaped and hangs on a lanyard. Jolly lives on the device like a Tamagotchi. The device awkward and pointless. I predict the public will reject it.

The new glasses

Meta announced at Connect 2026 last week that Muse will be brought to its Meta Ray-Ban AI glasses line in the coming months, and that the camera version will use the video feed as part of the user’s input. Unfortunately for Meta, a huge percentage of the public has turned against smart glasses with cameras on them, dubbing them “pervert glasses.”

Meta wisely also unveiled a product called Ray-Ban Meta Audio glasses. They’re just like the Ray-Ban Meta glasses, but they have no camera.

Ray-Ban Meta glasses, including (we can presume) the new Audio model, have high-quality speakers and microphones, touch control, good connectivity, reasonable battery life, support for prescriptions, and other features.

And this is the killer set of features, the winning combination: Good wearable hardware that’s practical, socially acceptable and comfortable, plus an agentic, personalized, proactive and powerful agent that can be used hands-free through the glasses.

There’s just one glaring problem

Once Meta adds Muse to Ray-Ban Meta Audio glasses, we’ll have the first entry in what will be the future of using AI. But I won’t use or recommend them.

The reason should be obvious: Meta has not earned our trust.

Look at the company’s shameful history. Meta harvested 87 million users’ data without consent in the Cambridge Analytica scandal, failed to act appropriately on internal research showing Instagram harmed teenage girls, knowingly allowed its platforms to spread misinformation and radicalize users, and repeatedly misled regulators and the public about its privacy practices.

The company definitely has not earned our trust enough to allow it into our email inboxes, calendars, and bank accounts.

I also don’t trust the Jolly avatar’s intentions. It’s a digital “friend” that wants your affection so that you’ll trust the untrustworthy.

Meta has stumbled onto a winning AI strategy — or, at least, a winning feature set for the future of AI.

Unfortunately, we just can’t trust Meta.

Federal judge calls Flock ‘indiscriminate mass surveillance’

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A federal judge ruled this week that a Tulsa, Oklahoma sheriff’s deputy violated a woman’s Fourth Amendment rights when using Flock Safety to search for her license plate without a warrant. 

As reported by 404 Media, this ruling does not create a binding precedent, but it is one of the first times that a federal judge has ruled that a Flock search is unconstitutional.

In this case, Judge Sara Hill said the deputy should have obtained a warrant before searching the Flock database for the woman’s license plate, as he had “no apparent reason” for the search “other than the fact that [the woman’s vehicle] had a California license plate.”

The deputy then used the woman’s travel history in Flock as part of the justification for searching her car, where he allegedly discovered 91 pounds of meth. But Judge Hill wrote that all evidence obtained after the Flock search “must be suppressed as the fruit of a poisonous tree.”

Judge Hill also took broader aim at warrantless searches of the Flock database, writing that tracking people’s location — even when they’re in public places — becomes “constitutionally problematic when law enforcement can indiscriminately and passively catalog your whereabouts over an extended period of time and then use that information for any purpose whenever convenient.”

“This is a type of indiscriminate mass surveillance,” Hill wrote. “It is not targeted on a single individual, as in [Carpenter v. United States, a Supreme Court case focused on how government agencies access location data from cell phones]. It is a tool that collects information about all vehicles that pass by any network-connected camera at all times, and it serves up the information to law enforcement on demand.”

Hill joins a growing chorus of Flock critics from across the political spectrum. Numerous local and state governments, including Florida and Texas, have said they will stop using the technology. And on Friday, Senator Bernie Sanders — a Democrat from Vermont — introduced the Block Flock Act, which would bar federal agencies from using automated license plate readers such as Flock.

Flock CEO Garretty Langley — who we’ll be interviewing on-stage at TechCrunch Disrupt — has called for a “compromise” between privacy and safety and offered an apology to women who have been stalked by law enforcement officers using the Flock system. And with all those cancellations, Flock has also reportedly offered voluntary employee buyouts as a way to shrink its workforce.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

Android 17 QPR3 Beta 1 gives us an early look at next year’s Pixel updates

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What you need to know

  • Android 17 QPR3 Beta 1 is rolling out to Pixel phones ahead of its expected stable release next year.
  • Google is fixing a long list of issues, including crashes, fingerprint freezes, eSIM problems, Wi-Fi failures, battery drain, and Bluetooth audio glitches.
  • A stable release is targeted for March 2027.

Google just released Android 17 QPR3 Beta 1, and if you have a Pixel, you will want to check this out. The update was rolled out to Pixel testers today with builds for everything from the Pixel 6a to the Pixel 11 family. Most devices are getting DP11.260918.006, while Pixel 11 owners are getting DP11.260918.005.

For the uninitiated, these QPR updates ride on top of Android 17‘s initial launch and deliver fixes and performance tweaks every three months. They avoid breaking changes to the API, so developers are able to test with confidence.

Paramount and Warner Bros Discovery to become Skydance

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Paramount and Warner Bros. Discovery will operate as Skydance once their merger closes, Paramount CEO David Ellison announced Friday. Skydance is the name of Ellison’s original film production company.

The roughly $110 billion deal is expected to close October 6. It will combine two major Hollywood studios, Paramount+ and HBO Max, and networks including CBS, CNN, MTV, TBS, Comedy Central, and Food Network. Skydance will also control franchises such as “The Lord of the Rings,” “Game of Thrones,” the DC Universe, and “Yellowstone.”

The merger followed a drawn-out corporate battle. Netflix had agreed to acquire Warner Bros.’ streaming and studio businesses before the broader Paramount deal moved forward. Twelve states challenged the deal, arguing it could reduce competition and harm consumers and workers, but a judge approved a settlement with the state attorneys general this week.

Ellison said the Paramount and Warner Bros. brands will remain central. “We never wanted a new corporate identity to diminish, alter or overshadow either one,” he wrote on X. The new name, he said, gives the company “an identity of its own” while letting both studios “remain in the spotlight.”

How to Choose Between Instagram Followers Likes and Views

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An android phone with an Instagram app.

When it comes to social media within Instagram followers, likes and views, each of them serves a different purpose. Followers are responsible for the visible size of the account, likes provide social reactions to posts, and views indicate how often video content has been viewed. Additionally, Meta differentiates engagement from reach and follower growth in its advice to creators. A useful decision therefore starts with the problem the account is trying to solve.

GoreAd groups several Instagram growth services in one place, including followers, likes, views, comments, automatic followers, custom comments, and Story views. Readers who want to compare those options can review them here. The site lists followers, likes, and views as separate purchases with different package sizes. That setup makes it easier to compare each service against a specific marketing goal.

Start With the Problem You Can Actually See

The first step is diagnosis. Look at the profile, recent posts, and Reel performance before choosing a service. A complete brand account with a very small follower count has a different problem from a Reel that receives little viewing activity. A post that receives views but little visible response presents another case.

Choose Followers When Profile Size Is the Main Issue

Choosing followers is the best option when the size of the observed audience is the issue. This is likely to be important for a young brand account that has already determined an effective bio and content strategy while still appearing small at first glance. The count of followers is given at the profile level, so changes are shown on the whole account and not on a specific post. It does not reveal the status of individual posts in terms of views and likes.

What GoreAd Can Offer for This Approach

GoreAd has Instagram follower packages from 50 to 50,000 followers on their main page of Instagram services. The same page covers separate packages for likes and views as well as followers, comments, custom comments, and Story views. GoreAd states that the procedure of ordering consists of selecting the service, picking the package, paying for it, and monitoring how the profile is updated. It also makes it clear that no password is needed to use the account in question and it’s supposed to be public.

This indicates that GoreAd is perfect when it comes to understanding what metrics should be improved with regard to visibility. Updating the number of followers changes the profile size, while increasing the number of likes influences the visible number of likes on the piece of content. There are separate pages with additional data concerning packages and how the service operates before the payment procedure.

Use Likes When One Post’s Activity Level Requires Improvement

Likes (as a way to attract attention) are best used when a certain post needs to have more likes but the profile does not require additional followers. A post dedicated to a product introduction, campaign, portfolio demonstration or brand collaboration may already have numerous views; however, it still does not get likes. Increasing the follower count does not directly affect the number of likes on the post.

Views Should Be Used When the Issue is Visibility in Video

Views address concerns about Reels or any other video content. Meta tracks views independently from all likes, comments, and shares metrics provided in Reel analytics, which shows why separation comes in handy when making an evaluation. In fact, a video can receive a huge number of views while having a much smaller number of likes and subscribers, so the visibility of the video and growth of the audience should be evaluated separately.

When It Makes Sense to Use Views Instead of Subscribers

Campaigns aimed at promoting Reels, product demonstrations, educational short videos or videos posted by the creators use views, which correlate with the performance of Reels. Views here depend more on the content itself than the total audience of the account. Moreover, Meta’s Trial Reels function accounts for views, likes, comments, and shares separately. When the question is whether the video has good visibility, then views will serve as the appropriate measure.

Differences in the Metrics of Views and Likes

A view is the measure of video views, and a like is the measure of the viewer’s response to the video. These two actions can happen at the same time, which means that there can be more views than likes. One of the reasons for this is that not every viewer who watches content will like it. Use views when the aim is to get reach and likes when the aim is to measure response to the post.

Separate Measurement of the Metric

Make sure to fix the initial number before the start of any paid account and then check the same number after the delivery. Keep separate notes for likes, views, and followers instead of including them in one growth metric. Meta’s Best practices section also distinguishes creation, engagement, and reach metrics as separate aspects of account performance.

Check If the Numbers Are Meaningfully Related

Followers, likes and views must not be seen in isolation. Looking at their relationship can reveal more insights about the situation on the account. For instance, a Reel may get many views but still fewer likes, while a different post can have fewer views yet still provoke more visible interest. Hence, the two indicators cannot be said to indicate the performance of the posts since they show different audience actions.

It is therefore true that changing one of the numbers does not mean that other numbers will be changed as well. For instance, gaining followers does not lead to the assumption that the Reel will become more popular, and conversely, high viewing numbers do not bring many likes or followers. That is why Meta has defined reach, engagement and follower growth in its content creator guidelines and made the research of the connection between Reels and follower growth the responsibility of the content producers.

In summary, one should not focus only on the number that is going to change but must also take into account the overall picture.

Distinguish Real Indicators from Marketing Results

Increasing numbers of followers, likes, or views are measurable changes, but they cannot be treated directly as the final result of marketing efforts. The next question one has to answer is what the achieved number actually means.

In case the activity is focused on brand awareness, views can represent the most relevant visible metric. In case the post aims at gaining visible interaction, likes can be the number to look for. In case one has to evaluate profile visibility, the number of followers is the main figure to look at. Long-term goals concerning audience engagement and follower growth should also be considered separately.

Also, Instagram distinguishes between reach, engagement and audience growth in its Best Practices guidelines, thus revealing that the creators of profiles should think of two parameters about any service: the direct metric (like followers, likes, views) and the marketing result of the account that will be monitored subsequently.

Paid metrics must also be viewed separately from organic ones when evaluating the results. According to the Community Guidelines of Instagram, it is prohibited to collect likes, followers, or shares artificially, meaning that any decision concerning payment for interaction must take into consideration the rules of the platform.

 

Develop the Choice Based on the Upcoming Marketing Objective

Make a Three Questions Decision Test

Before choosing a provider, ask three questions.

Is the issue visible on profile level, post level, or video level?

What is the number to change that will make the issue more evident?

Is this number useful in assessing the current marketing task?

The answers point to profile size, if they lead to followers as the closest option, likes if they point to visible post response, or views if they relate to video consumption. It is worth mentioning that although paying for results is a valid approach, the spending should follow the Instagram Community Guidelines regarding the like, following, and sharing practices, and paid methods should be separated from organic likes, growth in followers, and reach and engagement statistics.

Select the Metric in Line with the Issue

The right choice is not the one with the biggest number. It is the one that is most relevant to the identified weakness. While followers work for profile size, likes work for visible post responses, and views refer to video consumption. The matching of the metric and the issue makes measuring the result simpler and avoiding misinterpretation.

Google Play Fest is coming to shower app lovers with sweepstakes and big discounts

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What you need to know

  • Google Play is bundling its biggest sales, rewards, and promotions into a weeklong event.
  • Google Play Fest runs from October 13 to October 19, combining the store’s biggest discounts, point boosts, and contests into a single event.
  • Huge discounts across apps, games, books, devices, and select digital gift cards will be live throughout the week.

Google Play is bringing all its biggest sales and rewards in one big event, called Play Fest, that will run for a whole week. The tech giant calls this inaugural event the most rewarding week of the year, and it runs from October 13 to October 19.

Google Play Points launched all the way back in 2018 as a way to reward users for buying apps, games, movies, and books. Over time, it grew into a full-fledged loyalty program where regular spending is converted into store credit and digital perks.

Google launches Fitbit Air in India, though its high price might deter the masses

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Google on Wednesday launched the screen-less Fitbit Air fitness tracker in India, but is pricing at ₹13,999 (roughly $146), ostensibly positioning it as a premium device. Comparatively, the device costs $99 in the U.S.

Unveiled in May, the Fitbit Air features health and fitness tracking, like 24/7 heart rate monitoring, heart rhythm monitoring with A-fib (atrial fibrillation) alerts, blood oxygen level, resting heart rate, heart rate variability, sleep stages, and duration.

The device’s screen-less form is a bid to tap into the growing popularity of screen-less devices as people shy away from screens, opting for distraction-free health gadgets like Whoop’s fitness bands and Oura’s rings — though the new Fitbit is more pocket-friendly.

The health tracking space now has screen-less devices from Garmin, Fitbit founders’ new company, Luffu Link, as well as from Indian startups like Noise and Urban, which have been trying to undercut their Western rivals on price.

Research firm IDC noted in its global wearables report that despite a declining number of wristband shipments, screen-less trackers are carving out a niche. India currently accounts for only 5% of the screenless wearable market, per Counterpoint Research, and a wearable priced like a premium device might not make a dent in overall numbers, despite having a big name like Fitbit or Google behind it.

The Fitbit Air is available for purchase on the Google Store and retail partners, including Flipkart, Croma, Reliance Digital and Vijay Sales, from October 2. Google is also offering a free, three-month Google Health premium membership with the new band.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

Redesign Scenes Without Manual Editing with an AI Video Generator

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The old-fashioned technique of redesigning the scene of a video takes time due to several processes of cutting, compositing, resizing, masking, and visual editing that may be performed. When there are many changes to the concept, performing those tasks becomes more cumbersome. The advantage of generative AI is that it offers an innovative prompt-based approach, in which creators can simply explain visual changes in natural language. There is no need to recreate the scene from scratch; just come up with new variations by using creative instructions. Pippit’s AI video-making features can be complemented with flexible editing instruments giving unlimited possibilities to experiment with the scene in videos commercial, social, or advertising.

Scene redesign refers to the changing of the visual space, motion, composition, atmosphere, or delivery of a video without changing its overall message. It is not mere editing or rearranging; it is a change of the idea of the video. Text prompts in the Pippit AI video generator enable setting a new location, camera movement, light, or action of the subject. If the text fails to convey all the necessary information, reference images can help with the necessary visual specifications.

AI editing of videos can assist with many creative tasks as long as prompts are explicit enough. The changes in terms of motion, appearance, context, framing, and composition can be clearly described without the need to employ any problematic artistic terms. The key is to establish what to keep and what to alter. With Pippit, you can experiment easily by changing the parameters of video creation until you receive the desired result. Here are some design modifications:

  • Appearance: tweak any background, environment, colors, or lighting.
  • Motion: make the product move or make an action, use camera movement, or make dynamic transitions.
  • Mood: change from calm to dynamic, tense, dramatic, etc.
  • Composition: change the size, framing, perspective, and placement of the subject.
  • Format: adapt the scene for different formats, including social media and advertising.

Step 1: Set Up Scene Changes

  1. Sign up for Pippit using your account on Google, Facebook, or TikTok.
  2. Log in to your account and click “More” on the left side of your dashboard, then choose “Video Generator”.
  3. Select an AI model from a number of options such as Dreamina Seedance 1.0, Dreamina Seedance 2.0, Dreamina Seedance 2.0 Fast, Dreamina Seedance 2.0 Mini, or Dreamina Seedance 2.5.
  4. Provide a detailed prompt explaining how you want to modify your scenes.
  5. Select video language, length, subtitles, and aspect ratio.
  6. Click “+” and upload any necessary reference images/videos saved on your computer or phone or Dropbox or a link. You can also choose already available assets.
  7. Hit “Generate” to create your video.

Step 2: Change the Scenes Automatically

  1. Pippit’s AI video generator will start creating your video using the prompt you input and reference materials you provided.
  2. The AI will take care of all transitions, pacing, captions, avatars, voice, lyrics, as well as visual improvements.
  3. Watch your generated video to see the changes.

Step 3: Finish up

  1. Hit the “Download” button located on the top right to save your video. You may also click “Regenerate the video” for another variation or use “Edit further” at the bottom of the video to proceed with editing.
  2. Alter the caption, add some text, adjust size, color and alignment or add different filters or effects.
  3. Use the background music or remove the background if needed.
  4. Once done hit “Export”.
  5. Select “Publish” to post on TikTok, Instagram, or Facebook or use “Download” for whatever format you need.

The first step in redesigning a scene is ensuring you have a clear brief in place. This means specifying the key elements of the original scene, including subject matter, setting, settings, layout, and any notable visual features. Next, define what the envisaged alteration entails. Examples include a modified environment, physical changes, and a different visual style. Identify those elements that must still be apparent, like products, logos, people, objects, and those valuable brands. If required, specify the framework of the original scene, i.e. the impact of lighting, mood, intensity, cinematic quality, and color palette. If motion is paramount, describe how the camera and the subjects are meant to move, too. Review the changes to see if the created variation is satisfactory, and if it is not, revise your instructions accordingly.

When coming up with new ideas for a more dynamic scene, Pippit can benefit from a number of proper images. For instance, a still image of a product can serve as a starting point for a presentation, with the assistance of the camera’s motion. Special Seedance 2.5 image-to-video workflows make it possible to have regardless of the time-consuming traditional animation processes. The narrative behind a static image can also be enhanced through the use of different scripts, voiceovers, and captions. All of these methods are applicable for the creation of social posts, product releases, presentations, educational content, and storytelling.

If a scene produced is not close to the vision needed, it would be more sensible to regenerate it. Whenever the prompt, settings, action, framing, or atmosphere are incorrect, regenerating the prompt is capable of solving the issue better than making modifications to each of the elements. Thus, one can use more detailed prompts to make the subjects, settings, actions, camerawork, and visual style clearer. However, small mistakes such as writing mistakes, design, layout, or minor details can be fixed better manually. The mix of creating and editing used by Pippit makes mixing automatic change and accurate ‘tweaks’ possible.

Visual coherence throughout the project is important in the process of the scene redesign. The prompts should remain coherent regarding repeated themes, brands, color schemes, rhythms, formats, and story development. The lack of what is described above can lead to significant changes of the scene in terms of design, size, lighting, and motion of the generated elements. It can be useful to resort to reference materials in order to strengthen the common visual features of the repeated images and get more contextual information. Keeping the format also helps maintain the content’s fidelity across its sources. Pippit’s editorial tools will clean and harmonize separately created scenes to ensure the use of the same captions, effects, soundtracks, frames, and so on.

AI has changed the process of scene redesign from a series of repetitive actions to an effective creative process. Using Pippit, the creator will manage to use all the details of prompts, referrals, creating, regenerating, and refining in one process. It allows minimizing the use of standard edits but maintain control over the final product. However, one should remember that it is necessary to undertake careful steps in managing the scene.

Solos gives its smart glasses a physical privacy kill switch

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What you need to know

  • Solos launched its $79 Privacy Kit for AirGo V2 smart glasses, replacing digital toggles with physical camera barriers and clear frame temples.
  • The ClearView Temple is a non-powered, transparent frame arm available in four patterns (Ocean Arrow, Amber Net, Mint Check, Teal Web) that visually proves no electronics are inside.
  • The Clip-On Bundle includes a full-cover shield to physically block the camera, plus a polarized sun lens available in Dark Green, Dark Grey, or Gradient Brown.

Solos is providing AirGo V2 owners with a more obvious way to tell when their smart glasses are not using their cameras. The company’s new Privacy Kit is now available online, combining a transparent replacement temple with clip-on accessories designed to physically block the glasses’ cameras.

Typically, smart eyewear relies on tiny LED lights or software toggles to signal when you are recording, but those methods rarely ease public paranoia. Solos, a company spun out of Kopin Corporation by engineers trained at MIT, is taking the low-tech, no-nonsense approach. Co-founder Kenneth Fan calls this “privacy by design,” replacing pinky-promise policies with real barriers.