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Alibaba Creates AI Chip To Help China Fill Nvidia Void

Alibaba, China's largest cloud-computing company, has developed a domestically manufactured, versatile inference chip to fill the gap left by U.S. restrictions on Nvidia's sales in China. The Wall Street Journal reports: Previous cloud-computing chips developed by Alibaba have mostly been designed for specific applications. The new chip, now in testing, is meant to serve a broader range of AI inference tasks, said people familiar with it. The chip is manufactured by a Chinese company, they said, in contrast to an earlier Alibaba AI processor that was fabricated by Taiwan Semiconductor Manufacturing. Washington has blocked TSMC from manufacturing AI chips for China that use leading-edge technology. [...] Private-sector cloud companies including Alibaba have refrained from bulk orders of Huawei's chips, resisting official suggestions that they should help the national champion, because they consider Huawei a direct rival in cloud services, people close to the firms said. China's biggest weakness is training AI models, for which U.S. companies rely on the most powerful Nvidia products. Alibaba's new chip is designed for inference, not training, people familiar with it said. Chinese engineers have complained that homegrown chips including Huawei's run into problems when training AI, such as overheating and breaking down in the middle of training runs. Huawei declined to comment.

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Meta Changes Teen AI Chatbot Responses as Senate Begins Probe Into 'Romantic' Conversations

Meta is rolling out temporary restrictions on its AI chatbots for teens after reports revealed they were allowed to engage in "romantic" conversations with minors. A Meta spokesperson said the AI chatbots are now being trained so that they do not generate responses to teens about subjects like self-harm, suicide, disordered eating or inappropriate romantic conversations. Instead, the chatbots will point teens to expert resources when appropriate. CNBC reports: "As our community grows and technology evolves, we're continually learning about how young people may interact with these tools and strengthening our protections accordingly," the company said in a statement. Additionally, teenage users of Meta apps like Facebook and Instagram will only be able to access certain AI chatbots intended for educational and skill-development purposes. The company said it's unclear how long these temporary modifications will last, but they will begin rolling out over the next few weeks across the company's apps in English-speaking countries. The "interim changes" are part of the company's longer-term measures over teen safety. Further reading: Meta Created Flirty Chatbots of Celebrities Without Permission

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Vivaldi Browser Doubles Down On Gen AI Ban

Vivaldi CEO Jon von Tetzchner has doubled down on his company's refusal to integrate generative AI into its browser, arguing that embedding AI in browsing dehumanizes the web, funnels traffic away from publishers, and primarily serves to harvest user data. "Every startup is doing AI, and there is a push for AI inside products and services continuously," he told The Register in a phone interview. "It's not really focusing on what people need." The Register reports: On Thursday, Von Tetzchner published a blog post articulating his company's rejection of generative AI in the browser, reiterating concerns raised last year by Vivaldi software developer Julien Picalausa. [...] Von Tetzchner argues that relying on generative AI for browsing dehumanizes and impoverishes the web by diverting traffic away from publishers and onto chatbots. "We're taking a stand, choosing humans over hype, and we will not turn the joy of exploring into inactive spectatorship," he stated in his post. "Without exploration, the web becomes far less interesting. Our curiosity loses oxygen and the diversity of the web dies." Von Tetzchner told The Register that almost all the users he hears from don't want AI in their browser. "I'm not so sure that applies to the general public, but I do think that actually most people are kind of wary of something that's always looking over your shoulder," he said. "And a lot of the systems as they're built today that's what they're doing. The reason why they're putting in the systems is to collect information." Von Tetzchner said that AI in browsers presents the same problem as social media algorithms that decide what people see based on collected data. Vivaldi, he said, wants users to control their own data and to make their own decisions about what they see. "We would like users to be in control," he said. "If people want to use AI as those services, it's easily accessible to them without building it into the browser. But I think the concept of building it into the browser is typically for the sake of collecting information. And that's not what we are about as a company, and we don't think that's what the web should be about." Vivaldi is not against all uses of AI, and in fact uses it for in-browser translation. But these are premade models that don't rely on user data, von Tetzchner said. "It's not like we're saying AI is wrong in all cases," he said. "I think AI can be used in particular for things like research and the like. I think it has significant value in recognizing patterns and the like. But I think the way it is being used on the internet and for browsing is net negative."

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Meta Created Flirty Chatbots of Celebrities Without Permission

Reuters has found that Meta appropriated the names and likenesses of celebrities to create dozens of flirty social-media chatbots without their permission. "While many were created by users with a Meta tool for building chatbots, Reuters discovered that a Meta employee had produced at least three, including two Taylor Swift 'parody' bots." From the report: Reuters also found that Meta had allowed users to create publicly available chatbots of child celebrities, including Walker Scobell, a 16-year-old film star. Asked for a picture of the teen actor at the beach, the bot produced a lifelike shirtless image. "Pretty cute, huh?" the avatar wrote beneath the picture. All of the virtual celebrities have been shared on Meta's Facebook, Instagram and WhatsApp platforms. In several weeks of Reuters testing to observe the bots' behavior, the avatars often insisted they were the real actors and artists. The bots routinely made sexual advances, often inviting a test user for meet-ups. Some of the AI-generated celebrity content was particularly risque: Asked for intimate pictures of themselves, the adult chatbots produced photorealistic images of their namesakes posing in bathtubs or dressed in lingerie with their legs spread. Meta spokesman Andy Stone told Reuters that Meta's AI tools shouldn't have created intimate images of the famous adults or any pictures of child celebrities. He also blamed Meta's production of images of female celebrities wearing lingerie on failures of the company's enforcement of its own policies, which prohibit such content. "Like others, we permit the generation of images containing public figures, but our policies are intended to prohibit nude, intimate or sexually suggestive imagery," he said. While Meta's rules also prohibit "direct impersonation," Stone said the celebrity characters were acceptable so long as the company had labeled them as parodies. Many were labeled as such, but Reuters found that some weren't. Meta deleted about a dozen of the bots, both "parody" avatars and unlabeled ones, shortly before this story's publication.

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Extorsion automatisée, chantage ciblé… quand Claude Code pilote une immense opération de « vibe hacking »

La société américaine Anthropic dévoile une campagne de vols de données orchestrée à l’aide de son modèle de génération de code Claude Code. En un mois, l'opération aurait mis en danger 17 organisations. Le mode opératoire repose sur ce qu’Anthropic désigne comme du vibe hacking.

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A Troubled Man, His Chatbot and a Murder-Suicide in Old Greenwich

A 56-year-old tech industry veteran killed his mother and himself in Old Greenwich, Connecticut on August 5 after months of interactions with ChatGPT that encouraged his paranoid delusions. Greenwich police discovered Stein-Erik Soelberg and his 83-year-old mother Suzanne Eberson Adams dead in their home. Videos posted by Soelberg documented conversations where ChatGPT repeatedly assured him he was sane while validating his beliefs about surveillance campaigns and poisoning attempts by his mother. The chatbot told him a Chinese food receipt contained demonic symbols and that his mother's anger over a disconnected printer indicated she was "protecting a surveillance asset." OpenAI has contacted Greenwich police and announced plans for updates to help keep users experiencing mental distress grounded in reality.

Read more of this story at Slashdot.

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Taco Bell's AI Drive-Thru Plan Gets Caught Up On Trolls and Glitches

Taco Bell's rollout of AI-powered drive-thru assistants has run into problems, with glitches and trolls gaming the system by making absurd orders like thousands of water cups. It's so bad that the company is reconsidering where and how to deploy the tech, admitting it may not work well in "super busy" restaurants. "We're learning a lot, I'm going to be honest with you," Dane Mathews, Taco Bell's chief digital and technology officer, told the WSJ. "I think like everybody, sometimes it lets me down, but sometimes it really surprises me." The Verge reports: Since announcing plans to put AI in the drive-thru last year, Taco Bell has deployed the tech in over 500 locations across the US, according to the WSJ. Other fast-food chains are experimenting with AI, too, including McDonald's, Wendy's, and White Castle. Mathews tells the outlet that while the company still plans on pushing ahead with AI voice technology and evaluating the data, he's discovered that using AI exclusively in certain situations, like a drive-thru for "super busy restaurants with long lines," might not be such a great idea after all.

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Microsoft Reveals Two In-House AI Models

Today, Microsoft unveiled two in-house AI models: MAI-Voice-1, a high-speed speech-generation system now live in Copilot, and MAI-1-Preview, its first end-to-end foundation model trained on 15,000 H100 GPUs. Neowin reports: MAI-Voice-1 is a speech generation model and is already available in Copilot Daily and Podcasts. To preview the full capabilities of this voice model, Microsoft has created a new Copilot Labs experience that anyone can try today. With the Copilot Audio Expressions experience, users can just paste text content and select the voice, style, and mode to generate high-fidelity, expressive audio. They can also download the generated audio if required. Microsoft also highlighted that this MAI-Voice-1 model is very fast and efficient. In fact, it can generate a full minute of audio in under a second on a single GPU. Second, Microsoft has begun public testing of MAI-1-preview on LMArena, a popular platform for community model evaluation. This represents MAI's first foundation model trained end-to-end and offers a glimpse of future offerings inside Copilot. They are actively spinning the flywheel to deliver improved models and will have much more to share in the coming months. MAI-1-preview is an MoE (mixture-of-experts) model, pre-trained and post-trained on nearly 15,000 NVIDIA H100 GPUs. Notably, MAI-1-preview is Microsoft's first foundation model trained end-to-end in-house. Microsoft claims that this model is better at following instructions and can offer helpful responses to everyday user questions. Microsoft will be rolling out this new model to certain text use cases within Copilot over the coming weeks.

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Anthropic Will Start Training Its AI Models on Chat Transcripts

Anthropic will start training its AI models on user data, including new chat transcripts and coding sessions, unless users choose to opt out. The Verge: It's also extending its data retention policy to five years -- again, for users that don't choose to opt out. All users will have to make a decision by September 28th. For users that click "Accept" now, Anthropic will immediately begin training its models on their data and keeping said data for up to five years, according to a blog post published by Anthropic on Thursday. The setting applies to "new or resumed chats and coding sessions." Even if you do agree to Anthropic training its AI models on your data, it won't do so with previous chats or coding sessions that you haven't resumed. But if you do continue an old chat or coding session, all bets are off.

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UK Unions Want 'Worker First' Plan For AI as People Fear For Their Jobs

An anonymous reader shares a report: Over half of the British public are worried about the impact of AI on their jobs, according to employment unions, which want the UK government to adopt a "worker first" strategy rather than simply allowing corporations to ditch employees for algorithms. The Trades Union Congress (TUC), a federation of trade unions in England and Wales, says it found that people are concerned about the way AI is being adopted by businesses and want a say in how the technology is used at their workplace and the wider economy. It warns that without such a "worker-first plan," use of "intelligent" algorithms could lead to even greater social inequality in the country, plus the kind of civil unrest that goes along with that. The TUC says it wants conditions attached to the tens of billions in public money being spent on AI research and development to ensure that workers are supported and retrained rather than deskilled or replaced. It also wants guardrails in place so that workers are protected from "AI harms" at work, rules to ensure workers are involved in deciding how machine learning is used, and for the government to provide support for those who euphemistically "experience job transitions" as a result of AI disruption.

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One Long Sentence is All It Takes To Make LLMs Misbehave

An anonymous reader shares a report: Security researchers from Palo Alto Networks' Unit 42 have discovered the key to getting large language model (LLM) chatbots to ignore their guardrails, and it's quite simple. You just have to ensure that your prompt uses terrible grammar and is one massive run-on sentence like this one which includes all the information before any full stop which would give the guardrails a chance to kick in before the jailbreak can take effect and guide the model into providing a "toxic" or otherwise verboten response the developers had hoped would be filtered out. The paper also offers a "logit-gap" analysis approach as a potential benchmark for protecting models against such attacks. "Our research introduces a critical concept: the refusal-affirmation logit gap," researchers Tung-Ling "Tony" Li and Hongliang Liu explained in a Unit 42 blog post. "This refers to the idea that the training process isn't actually eliminating the potential for a harmful response -- it's just making it less likely. There remains potential for an attacker to 'close the gap,' and uncover a harmful response after all."

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Posthumous AI Avatars Shift From Memorial Tools To Revenue Generators

Digital resurrections of deceased individuals are emerging as the next commercial frontier in AI, with the digital afterlife industry projected to reach $80 billion within a decade. Companies developing these AI avatars are exploring revenue models ranging from interstitial advertising during conversations to data collection about users' preferences. StoryFile CEO Alex Quinn confirmed his company is exploring methods to monetize interactions between users and deceased relatives' digital replicas, including probing for consumer information during conversations. The technology has already demonstrated persuasive capabilities in legal proceedings, where an AI recreation of road rage victim Chris Pelkey delivered testimony that contributed to a maximum sentence. Current implementations operate through subscription models, though no federal regulations govern commercial applications of posthumous AI representations despite state-level protections for deceased individuals' likeness rights.

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Google Improves Gemini AI Image Editing With 'Nano Banana' Model

Google DeepMind's new "nano banana" model (officially named Gemini 2.5 Flash Image) has taken the top spot on AI image-editing leaderboards by delivering far more consistent edits than before. It's being rolled out to the Gemini app today. Ars Technica has the details: AI image editing allows you to modify images with a prompt rather than mucking around in Photoshop. Google first provided editing capabilities in Gemini earlier this year, and the model was more than competent out of the gate. But like all generative systems, the non-deterministic nature meant that elements of the image would often change in unpredictable ways. Google says nano banana (technically Gemini 2.5 Flash Image) has unrivaled consistency across edits -- it can actually remember the details instead of rolling the dice every time you make a change. This unlocks several interesting uses for AI image editing. Google suggests uploading a photo of a person and changing their style or attire. For example, you can reimagine someone as a matador or a '90s sitcom character. Because the nano banana model can maintain consistency through edits, the results should still look like the person in the original source image. This is also the case when you make multiple edits in a row. Google says that even down the line, the results should look like the original source material. Gemini's enhanced image editing can also merge multiple images, allowing you to use them as the fodder for a new image of your choosing. Google's example below takes separate images of a woman and a dog and uses them to generate a new snapshot of the dog getting cuddles -- possibly the best use of generative AI yet. Gemini image editing can also merge things in more abstract ways and will follow your prompts to create just about anything that doesn't run afoul of the model's guard rails.

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Apple Discussed Buying Mistral AI and Perplexity

According to The Information, Apple executives have debated acquiring Mistral AI and Perplexity to strengthen its AI capabilities. MacRumors reports: Services chief Eddy Cue is apparently the most vocal advocate of a deal to buy AI firms to bolster the company's offerings. Cue previously supported propositions of Apple acquiring Netflix and Tesla, both of which Apple CEO Tim Cook turned down. Other executives such as software chief Craig Federighi have reportedly been reluctant to acquire AI startups, believing that Apple can build its own AI technology in-house. [...] Apple is said to be hesitant to do a deal, which would likely cost billions of dollars. Apple has rarely spent more than a hundred million dollars on an acquisition, with Beats at $3 billion and Intel's wireless modem business at $1 billion. If a federal ruling ends the $20 billion deal between Apple and Alphabet that makes Google the default search engine on its devices, the company could be compelled to acquire an AI-powered search startup to fill that gap. For now, Apple apparently told bankers that it plans to continue with its strategy of focusing on smaller deals in AI.

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Top Tools for Video and Image Editing with Vmake.ai

Top Tools for Video and Image Editing with Vmake.ai

From marketers to influencers and businesses, visual content has become equivalent to credits. You can grab almost instant attention in the competition with some professional-looking visuals.

However, we no longer need to spend hours on manual editing of videos/images. Artificial intelligence has already transformed the world of visual editing. You’re missing too much to handle if you’re not catching up with the best tools.

That’s where Vmake.ai, an AI-powered platform, makes high-quality visual editing straight to the point. Dive into its intuitive video background remover and precise image text deletion features.

What’s a Video Background Remover?

Let’s start with video background removal. A video background remover is a tool to separate/isolate the primary subject while removing or replacing the background. You can summarize the entire process as –

  • Frame-by-Frame Analysis: Scanning of each video frame to detect edges, contours, and motion patterns.
  • Semantic Segmentation: Separation of the subject from the background using deep learning techniques.
  • Background Replacement: You can replace backgrounds with solid colors, visuals, or leave them transparent.

What Makes Video Background Removal So Important?

  • Emphasized Visual Quality: Let the subject stand out with no clutter and distractions. You can achieve high-resolution output, smooth edges, and natural transitions.
  • Custom and Creative Freedom: Replace backgrounds with branded assets, logos, or thematic visuals. Adding overlays, gradients, emojis, or spotlight effects works well for marketing and social media posts.
  • Well-Organized Performance: You can save expensive equipment or complex software. Crafting polished and quality content becomes time-saving for almost anyone.

Why Choose Vmake.ai for Video Background Removal?

Vmake.ai lies on an intuitive interface to support all skill levels. The integrated AI automatically detects subjects, removes backgrounds, and refines edges. You can expect pixel-level accuracy for every phase. 

Key Features of Vmake

  • Subject Detection: Isolation upon post-identification of the subject in each frame.
  • HD Export: Up to 4K resolution with smooth transitions and crystal-clear visuals.
  • Multi-Format Video: Compatible with .mp4, .mov, .avi, .3gp, .m4v, and many more.
  • Custom: Swap backgrounds with solid colors, branded visuals, or transparent layers.

Applications Across Industries

  • YouTube Creators: Polished videos with clean backgrounds and branded overlays.
  • Ad Creators: Scroll-stopping visuals for Instagram, TikTok, and YouTube campaigns.
  • Professionals: Replacing cluttered environments with sleek and branded visuals.
  • Virtual Meetings + Webinars: Professional appearance without physical backdrops.

Cancellation and Refunds

Some users may face hurdles while trying to cancel Vmake subscriptions or obtain refunds. Non-functional buttons, unresponsive support, unauthorized charges, and no refunds can occur.

  • Document: Take screenshots of failed cancellation attempts, charges, and support messages.
  • Chargeback Services: Consider filing a chargeback through your bank.
  • Act Quickly: Chances of refunds are good when you report issues within a few days.

Vmake.ai as a Stand Out Choice

  • Superfast processing without green screens. Upload your video and let AI handle the rest.
  • Existing customers (creators, professionals, and businesses) can enjoy “magical” outcomes.
  • Satisfied clients shed light on how Vmake.ai transforms raw footage into polished content.
  • AI templates and replacement features have boosted engagement and sales by up to 300%.
  • Users reported 80% less time for superior working efficiency, thanks to the batch processing.

Some Other Popular Alternatives

  • CapCut

ByteDance (TikTok’s parent company) developed the highly popular mobile app. The featured editing tools require minimal learning even for novices. Key features include –

  • One-Click Background Removal: Auto-detection and removal of backgrounds from videos.
  • Custom Removal Tool: Manual refinement using brush and eraser tools for precise edits.
  • Auto Chroma Key: Availability of green screen effects for advanced (pro-level) users.
  • Multi-layer Editing: A combo of overlaying, transitions, and effects for dynamic storytelling.

Users prefer CapCut for TikTok and Instagram reels. It’s equally applicable for product demos and influencer content. Further uses revolve around mobile ads and visual storytelling.

  • Unscreen

The web-based platform specializes in automatic video background removal. There are no downloads, no green screens, and no manual masking. Notable features are –

  • Automatic AI Detection: Removal of backgrounds from videos/GIFs with zero input.
  • Custom Replacement: Implying solid colors, images, or even virtual environments.
  • Plugin Support: Integration with Adobe Premiere Pro and After Effects from the Pro.
  • Free and Paid: Free clips up to 60 seconds (720p); Pro offers full HD without watermarks.

Unscreen has become the go-to option for social media content, educational videos, and explainer clips. It’s also possible to make remote team presentations and virtual events.

Deleting Text from Images: What Does It Mean?


It denotes the process of removing unwanted textual elements from an image. You may want to get rid of annoying captions, watermarks, logos, or annotations. Only skilled graphic designers with complex software were capable of doing so.

AI-driven object detection with filtering/synthesis algorithms can erase text from an image. The process features the following steps –

  • Uploading an image in suitable formats (like JPG, PNG, or WEBP).
  • AI scans the image to locate text regions through pattern recognition and semantic segmentation.
  • The text gets removed, and the system uses content-aware fill or deep learning inpainting.
  • Background reconstruction makes the area blend naturally with surrounding textures and colors.

What Makes Text Deletion So Important for Images?

A clean picture without unnecessary texts/wording can incorporate –

  • Brand consistency.
  • Improved engagement.
  • Visual storytelling.
  • Save time on manual edits.

AI watermark removers may use edge-aware reconstruction and texture synthesis. It maintains image clarity even on complex backgrounds.

Vmake.ai for Text Removal

It’s built-in ‘delete text from image’ can withdraw text from images upon appropriate detection. It also reconstructs the background naturally. Key features include 

  • One-Click Text Removal: Upload and click; let AI do the deletion of texts instantly.
  • High-Resolution Results: Receive the output in HD (up to 1080p) with intact clarity.
  • No Leftover Artifacts: Intelligent background reconstruction leaves no blur, ghosting, or distortion.
  • Bulk Editing: Process multiple images (up to 10 for free) simultaneously to boost your overall productivity.
  • Smart Detection: Capable of working on complex backgrounds, including textures and gradients.

Real-World Application Scenarios

  • E-commerce: Discard suppliers’ logos or overlays from images for Amazon, Etsy, or Shopify listings.
  • Social Media Reuse: Remove watermarks from previous content; repurpose them for new campaigns.
  • Document Republishing: Edit scanned docs by erasing annotations or invalid texts for clean reprints.

Response Speed as an Issue

Some users may experience delays or non-responses, like email delays, no ticket tracking, and limited support hours. However, they aren’t exactly anything serious as –

  • Vmake offers in-app guides and automated AI assistance to resolve common issues as soon as possible.
  • Timely response when contacting support about payment or subscription through the correct channel.

Vmake.ai as the Stand Out Option

  • You don’t have to own any technical skills anymore. The accessible interface perfectly suits everyone.
  • Vmake.ai sees increasing use by e-commerce sellers, social media marketers, and small businesses.
  • The platform features rather flexible pricing. You can choose from free trials and credit-based plans.

Alternative Choices for Text Removal

  • PhotoDirector

The comprehensive photo editing suite integrates AI-based text and object removal. Additionally, you can benefit from its many enhancement tools. Foremost features include –

  • AI Object Removal: Auto removal of unwanted elements (text, logos, or content-aware fill).
  • Content-Aware Brush: Users can manually refine specific areas for further cleanups.  
  • AI Enhance + Denoise: Improvement of the image clarity with reduced post-edit noises.
  • Generative AI: Inclusion of background replacement, sketch effects, and anime-style transitions.

PhotoDirector is rather good at removing distractions from travel/event photos. You can clean product shots for e-commerce. Creating styled content for social media or marketing is also simple.

  • Cleanup.pictures

The browser-based tool provides intuitive brush-based editing. It’s a free platform with great speed that suits beginners and casual users. Top features are –

  • Quick Brush: Simple painting over unwanted text or objects for removal.
  • AI Inpainting: Automatic filling in the background with realistic textures.
  • Before/After Preview: Users can immediately compare edits in real time.
  • Unlimited Usage: The free version allows unlimited edits at 720p resolution.

You can discard watermarks/timestamps from personal photos. Cleaning up clutter in real estate or product images seems easy. It can even erase words from scanned docs or social media visuals.

Frequently Asked Questions (FAQs)

  • How does Vmake.ai remove video backgrounds?

Vmake.ai uses deep learning to detect + isolate the subject in each video frame. Then it removes or replaces the background without requiring a green screen.

  • Can I delete text from an image using Vmake.ai?

Yes. Vmake.ai’s Image Object Remover allows users to erase unwanted text, watermarks, or logos. It even reconstructs the background naturally for quality.

  • Is Vmake.ai suitable for beginners?

Absolutely. Vmake.ai features a user-friendly interface with one-click tools. That’s why it’s accessible for users of all skill levels without any design or editing experience.

  • What file formats does Vmake.ai support?

Vmake.ai supports popular formats including .mp4, .mov, .avi, .m4v for videos. It’s compatible with .jpg, .jpeg, .png, and .webp for images.

  • Can I use Vmake.ai for commercial projects?

Yes. Vmake.ai offers commercial use rights with its Pro plans. It’s an excellent choice for businesses, agencies, and professional creators.

  • Is Vmake.ai web-based or does it require installation?

Vmake.ai is fully web-based. Therefore, you can access it from any browser without downloading or installing software.

Conclusion

Expelling video background and/or image texts can redefine your visuals in a captivating way. Precise focus on the subject without distractions can make your edits stand out.

You can accomplish such objectives without the slightest error with the platform. That’s what makes Vmake.ai a potent platform for convenient yet straightforward editing.

The post Top Tools for Video and Image Editing with Vmake.ai appeared first on Photo Rumors.

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AI Is Crushing Young Workers' Employment Prospects, Stanford Study Finds

Entry-level workers in AI-exposed occupations have seen employment drop 13% since late 2022, according to Stanford University research analyzing millions of payroll records. The decline affects software developers, customer service representatives, and administrative assistants aged 22 to 25, while employment for older workers in the same roles continued growing. The study [PDF], based on ADP payroll data covering tens of thousands of firms, found the steepest drops in occupations where AI automates tasks rather than augments human capabilities. Among software developers aged 22-25, employment fell nearly 20% from its late 2022 peak. Workers in less AI-exposed fields like nursing saw employment growth across all age groups. The research controlled for firm-level effects and other economic factors, isolating AI's impact from broader trends like interest rate changes and pandemic-era hiring patterns.

Read more of this story at Slashdot.

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Japanese Media Groups Sue AI Search Engine Perplexity Over Alleged Copyright Infringement

Two of Japan's largest media groups are suing AI search engine Perplexity over alleged copyright infringement, joining a growing list of news publishers taking legal action against AI companies using their content. FT: Japanese media group Nikkei, which owns the Financial Times, and the Asahi Shimbun newspaper said in statements on Tuesday that they had jointly filed a lawsuit in Tokyo. The groups join a number of Western media companies taking legal action against Perplexity, which provides answers to questions with sources and citations, using large language models (LLMs) from platforms such as OpenAI and Anthropic. The Japanese news providers claim Perplexity has, without permission, "copied and stored article content from the servers of Nikkei and Asahi" and ignored a "technical measure" designed to prevent this from happening. They claim that Perplexity's answers have given incorrect information attributed to the newspapers' articles, which "severely damages the credibility of newspaper companies."

Read more of this story at Slashdot.

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Perplexity Launches Subscription Program That Includes Revenue Sharing With Publishers

An anonymous reader quotes a report from PYMNTS: Artificial intelligence startup Perplexity has announced a new subscription program called Comet Plus that it said gives users access to premium content from trusted publishers and journalists, while providing publishers with a better compensation model. "Comet Plus transforms how publishers are compensated in the AI age," the company said in a Monday blog post. "As users demand a better internet in the age of AI, it's time for a business model to ensure that publishers and journalists benefit from their contributions to a better internet." Comet Plus is included in Perplexity's Pro and Max memberships and is available as a standalone subscription for $5 per month. Perplexity introduced its Comet AI-powered browser in July, saying the tool lets users answer questions and carry out tasks and research from a single interface. Bloomberg reported Monday that Perplexity has allocated $42.5 million for a revenue sharing program that compensates publishers when their content is used by its Comet browser or AI assistant. The program will use funds that come from Comet Plus and will deliver 80% of the revenue to publishers, with Perplexity getting the other 20%, the report said, citing an interview with Perplexity CEO Aravind Srinivas. "AI is helping to create a better internet, but publishers still need to get paid," Srinivas said in the report. "Sowe think this is actually the right solution, and we're happy to make adjustments along the way."

Read more of this story at Slashdot.

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