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OpenAI Introduces Sora: A Game-Changing AI Text-to-Video Model

OpenAI Introduces Sora: A Game-Changing AI Text-to-Video Model

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With the release of Sora, its ground-breaking generative AI model for text-to-video, OpenAI has made a substantial contribution to the field of artificial intelligence. Sora is able to expand or smoothly insert frames into pre-existing video footage, as well as convert basic text prompts or pictures into high-resolution films. Though OpenAI is still considering whether to make Sora available for purchase, there is no denying that it might have a significant influence on editing and producing videos.

Revolutionising AI Technology

OpenAI Introduces Sora: A Game-Changing AI Text-to-Video Model

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Although there are other text-to-video AI models, Sora is by far the best. In contrast to earlier attempts by Google and Meta, which resulted in jerky and low-resolution films, Sora produces 1080p videos at a smooth frame rate that are frequently identical to genuine footage. Early demos available on the OpenAI website show off Sora’s skill with human body proportions, realistic lighting, creative cinematography, and the ability to portray lifelike animals and imitate the aesthetics of classic films.

Advantages and Drawbacks

Though Sora is a fantastic tool, its output is not perfect. Certain videos have an odd weightlessness to them, and upon closer inspection, one may see the sporadic flaws typical of artificial intelligence-produced visuals. Recognising that Sora’s performance varies, OpenAI provides both excellent and poor examples, as well as situations in which people undertake motions that are not natural, such as jogging backwards on a treadmill.

Knowledge and Communication

Sora’s profound linguistic comprehension allows it to produce vivid emotions in videos with little assistance. Simple one-sentence inputs are enough to get the AI to produce imaginative and captivating visual stories; this is similar to ChatGPT’s picture creation function.

Prospects and Difficulties for the Future

Although Sora’s text-to-video features have been shown, information on its image-to-video features is still unknown. Furthermore, doubts persist about the efficacy of Sora’s frame-insertion and video-extending capabilities, which have the potential to transform video editing and restoration. By the end of January 15th, OpenAI intends to publish a white paper on Sora that will include details on its training set and methodology.

Also Read: Samsung Confirms Galaxy S24 Displays Will be Fixed for ‘Washed Out’ Look

Getting Around Ethical Issues

OpenAI is working with legislators, educators, and artists to address public concerns about disinformation, hate speech, and bias before Sora is released as a commercial product. Working with experts, our goal is to evaluate the ethical implications of Sora and put policies in place, including C2PA metadata, to make content identification and moderation easier.

The possibility of democratising filmmaking and narrative with AI technology is becoming more real as OpenAI works to improve Sora and handle ethical issues. With Sora, artificial intelligence and multimedia might advance significantly, opening up new and exciting avenues for innovation and artistic expression.

Galaxy AI Tutorial: Real-Time Translation of Spoken Conversations

Galaxy AI Tutorial: Real-Time Translation of Spoken Conversations

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Galaxy AI Tutorial: Real-Time Translation of Spoken Conversations

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In today’s globalized world, effective communication across languages is more crucial than ever. With the advancement of technology, language barriers are becoming less of an obstacle, thanks to innovations like the Live translate feature on the Galaxy S24. This groundbreaking feature harnesses the power of artificial intelligence to provide real-time translation during phone calls, making multilingual conversations seamless and effortless.

Setting Up Live Translate

Before diving into the world of multilingual conversations, it’s essential to set up Live translate on your Galaxy S24. Follow these simple steps to get started:

  1. Access Advanced Features: Open the Settings app on your Galaxy S24 and navigate to the “Advanced features” section.

  2. Enable Advanced Intelligence: Tap on “Advanced intelligence” and select “Phone” from the menu.

  3. Activate Live Translate: Toggle the switch to turn on Live translate. If prompted, follow the on-screen instructions to proceed.

  4. Customize Language Preferences: In the Live translate settings, set your preferred language in the “Me” section and the other person’s language in the “Other person” section. If necessary, download additional language packs for translation.

Using Live Translate During Phone Calls

With Live translate activated, engaging in multilingual conversations is as simple as making a phone call. Here’s how to utilize this feature effectively:

  • Initiate a Call: Dial the desired number or select a contact from your phonebook to begin a conversation.

  • Enable Live Translate: Once the call is connected, tap on the Live translate icon to activate real-time translation.

  • Seamless Translation: As you speak and listen to the other party, Live translate will provide instant translations of the conversation, allowing for smooth communication regardless of language barriers.

Additional Features for Enhanced Communication

Live translate on the Galaxy S24 offers more than just basic translation capabilities. Here are some additional features to enhance your multilingual communication experience:

  • Mute Voice: Block the other party’s or your voice during the call, ensuring that only the translated content is audible.

  • Language and Voice Presets: Customize language and voice preferences for specific contacts or phone numbers, streamlining communication for frequent conversations.

Also Read: Saudi’s Tabby Gets $700 Million Credit Line From JPMorgan

If you encounter any difficulties or have questions about Live translate or other Galaxy features, Samsung provides various support channels for assistance. Whether through WhatsApp, LiveChat, or other service channels, help is just a click away.

In conclusion, the Live translate feature on the Galaxy S24 revolutionizes the way we communicate across languages. By leveraging the power of AI, it eliminates barriers and fosters seamless interactions, bringing the world closer together one conversation at a time. So, next time you find yourself in a multilingual conversation, let your Galaxy S24 be your personal translator, bridging the gap between languages with ease.

Brian Johnson's AI-Powered Full Body MRI Startup Gets a $21 Million Boost

Brian Johnson’s AI-Powered Full Body MRI Startup Gets a $21 Million Boost

Leave a Comment / Artificial Intellegence, Founder, start-up, Story, Tech Story / By

Biohacker and tech entrepreneur Bryan Johnson is on a mission to revolutionize preventative healthcare with full-body MRI scans. He’s backing New York-based startup Ezra, which recently secured $21 million in funding to make this vision a reality.

Bryan Johnson is not your average tech entrepreneur. As a fervent biohacker, he’s deeply invested in leveraging technology to improve human health. His latest endeavor involves advocating for the widespread adoption of full-body MRI scans as a proactive approach to detecting potential health issues, particularly cancer.

Meet Ezra: Redefining MRI Scans with AI

Brian Johnson's AI-Powered Full Body MRI Startup Gets a $21 Million Boost

At the forefront of Johnson’s vision is Ezra, a startup that harnesses the power of artificial intelligence to streamline the process of full-body MRI scans. Unlike traditional methods, Ezra’s AI technology, Ezra Flash, analyzes scans rapidly, significantly reducing the time patients spend in the scanner.

One might assume Ezra owns its MRI machines, but the company’s approach is different. It partners with existing radiology centers, maximizing accessibility without the burden of machine ownership. This collaborative model allows Ezra to focus on refining its AI algorithms for enhanced scan quality and efficiency.

Addressing Skepticism and Concerns

Despite its promise, the mainstream adoption of full-body MRI scans isn’t without its skeptics. Medical experts raise concerns about overdiagnosis and overtreatment, cautioning against unnecessary stress and costs for patients. They argue that not all abnormalities detected warrant intervention.

Also Read: How To Stop Contact Sharing On iPhone iOS 17

Ezra’s CEO, Emi Gal, remains undeterred by skepticism. He believes that the benefits of early detection outweigh the risks of false positives. Gal aims to make full-body MRI scans more accessible by reducing costs, with a target price of $500 for a 15-minute scan within the next two years.

In conclusion, Bryan Johnson’s endorsement of Ezra underscores a paradigm shift in preventative healthcare. With AI-driven innovations and strategic partnerships, Ezra is poised to democratize full-body MRI scans, offering individuals the opportunity for proactive health monitoring. While challenges persist, the potential impact on early disease detection and treatment is undeniable.

The Rise of Deepfakes: Why They're Spreading and How to Stop Them

The Rise of Deepfakes: Why They’re Spreading and How to Stop Them

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Deepfakes are all over the internet now; they are pictures, sounds, and videos of people in situations they never went to or speaking things they never said. These altered works of art frequently include the face of a well-known person superimposed on the body of another. Artificial intelligence has made it incredibly easy to create these misleading media, which has resulted in their widespread distribution on a variety of channels. Deepfakes have become a powerful weapon with far-reaching effects, used to deceive people and damage public persons’ reputations.

Taking On Deepfakes: Present Initiatives

The Rise of Deepfakes: Why They're Spreading and How to Stop Them

Deepfakes present a challenge to governments and regulatory agencies, who are working to reduce their spread and lessen the negative impacts they cause. The US Federal Communications Commission (FCC) has outlawed the use of artificial intelligence (AI) voices in robocalls in response to incidents like an audio deepfake that mimicked US President Joe Biden during the presidential primary in New Hampshire. Only a few states have passed legislation against deepfake pornography, due to the lack of federal statutes that directly address the issue.

The Danger to Society: Consequences and Issues

Deepfake technology has far-reaching consequences that go beyond simple media manipulation; it seriously jeopardises both human welfare and society integrity. Examples include explicit deepfake photos of Taylor Swift that have gone viral on social media, highlighting the risk of privacy violation and reputational damage. Actress Xochitl Gomez has brought attention to the prevalence of sexually explicit deepfakes that feature kids, which raises ethical and legal questions about content regulation and protecting the vulnerable.

The Development of Technology for Deepfakes

Deepfake technology has changed over time, moving from its academic roots to a broader market thanks to open-source code and generative artificial intelligence systems. What formerly required genuine vocal performances and existing video material is now simply necessary to follow basic textual directions, highlighting the skill and accessibility of modern deepfake techniques. The ease of accessibility has made it possible for digital forgeries to spread across a variety of internet channels, making it more difficult to discern between modified and genuine material.

Also Read: The Ultimate Guide to Recovering Deleted Posts on Facebook

Techniques for Detection and Prevention

Deepfake detection methods are being developed by both big giants and startups. By utilising machine learning algorithms and digital watermarking techniques, businesses such as Intel Corp. and Sensity AI are developing innovative approaches to media content identification and authentication. Although these developments present potential ways to counteract deepfakes, the continuous threat they represent calls for further investigation, cooperation, and attention to protect people from being exploited and to preserve the integrity of digital material.

To sum up, even if deepfakes are still becoming more common, governments, tech corporations, and civil society need to work together to develop policies that will effectively combat this rising threat and maintain the credibility of digital media.

A Beginner's Guide to Generating AI Images in ChatGPT with DALL-E

A Beginner’s Guide to Generating AI Images in ChatGPT with DALL-E

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A Beginner's Guide to Generating AI Images in ChatGPT with DALL-E

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OpenAI has introduced DALL-E 3, the latest version of its powerful artificial intelligence image generator, exclusively for ChatGPT Plus and Enterprise subscribers. This article explores how to leverage DALL-E 3 within ChatGPT to create captivating AI-generated images.

Accessing DALL-E 3 in ChatGPT

To utilize DALL-E 3 in ChatGPT, you’ll need either a Plus or Enterprise subscription. While Plus subscription costs $20 per month, Enterprise pricing varies based on organizational size.

Log in to ChatGPT: Visit ChatGPT’s website at Chat.OpenAI.com and log in. If you’re not yet a Plus subscriber, sign up and provide your account details.

Switch to GPT-4: Navigate to the dropdown menu labeled “GPT-3.5” and select “GPT-4” to access DALL-E 3 along with other enhanced features.

Prompt GPT-4 to Create an Image: Compose a specific prompt for GPT-4, detailing the desired image. Be imaginative and precise in your description, specifying elements such as subjects, colors, background, and style.

Download or Regenerate Your Image: Upon receiving the AI-generated image, you can view it and download it. If desired, refresh the page to prompt DALL-E 3 to create another version of the image.

Accessing DALL-E 3 without a Plus Subscription

For those without a ChatGPT Plus subscription, DALL-E 3 is accessible via the Bing Image Generator. Simply log in or create a Microsoft account to start generating images.

Does DALL-E 3 Have Usage Limits?

In ChatGPT Plus, DALL-E 3 operates under the same constraints as GPT-4, allowing 40 messages within a three-hour window. However, the Bing Image Creator provides ‘Boosts,’ which expedite image generation. Each account starts with approximately 100 boosts, after which generating images may take longer.

Also Read: A Step-by-Step Guide to Unsubscribe From Unwanted Emails and Newsletters

Exploring the Possibilities of DALL-E 3

DALL-E 3’s integration with ChatGPT opens up a world of creative possibilities, enabling users to effortlessly generate unique and imaginative images to complement their conversations and ideas. Whether for artistic endeavors, storytelling, or design projects, DALL-E 3 empowers users to bring their visions to life through AI-generated imagery.

In conclusion, with DALL-E 3 now available within ChatGPT, subscribers can unleash their creativity and enhance their interactions with visually stunning AI-generated images. Whether you’re a seasoned designer or an enthusiastic amateur, DALL-E 3 offers a powerful tool for sparking creativity and bringing ideas to fruition.

Meta Introduces Labels for AI-Generated Images Shared on Facebook, Instagram, and Threads

Meta Introduces Labels for AI-Generated Images Shared on Facebook, Instagram, and Threads

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A big move has been launched by Meta, formerly known as Facebook, to address the growing issue of AI-generated photos on its platforms. The business intends to identify artificial intelligence (AI-generated) photographs on Facebook, Instagram, and Threads in the upcoming months. By making this change, consumers will be able to clearly and transparently discern between material provided by AI and content created by humans, which is becoming an increasingly difficult task.

“As the difference between human and synthetic content gets blurred, people want to know where the boundary lies,” states Nick Clegg, President of Global Affairs at Meta.

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Taking Care of the Unclear Boundaries

Meta Introduces Labels for AI-Generated Images Shared on Facebook, Instagram, and Threads

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President of Global Affairs at Meta Nick Clegg emphasises the need for openness at a time when it’s getting harder to distinguish between real and fake content. The increasing popularity of AI image-creation technologies makes it necessary for consumers to be aware of the origin and legitimacy of the information they come across on social media.

Future Features & Predictions

In the upcoming months, Meta plans to provide multilingual labelling of AI-generated photographs across all of its platforms. This project is especially important during global elections when the veracity of the information is crucial. To distinguish AI-generated photographs, Meta intends to apply several strategies, including embedded metadata in the image files, visible markers, and invisible watermarks. Furthermore, users will be penalised for failing to notify when the content is produced by AI under the new standards.

These actions emphasise responsible AI development and are in line with best practices that the Partnership on AI (PAI) has advocated.

Looking Forward

To guide its long-term plan, Meta will be actively observing user interaction with labelled AI content over the upcoming year. 

The firm will now use detection technologies to classify AI material from outside suppliers and top AI art platforms, but it presently labels pictures created by its own AI image generator manually.

Users are encouraged to cautiously assess accounts that share photographs in the interim and keep an eye out for visual irregularities that might indicate computer production.

Essential Advice for Companies and Marketers

From Meta’s statement, companies and social media marketers should learn the following important lessons:

  • Authenticity and Transparency: As the use of AI-generated images in marketing grows more widespread, companies should place a high priority on authenticity and transparency, taking into account proactive disclosures.

  • Recognising Audience Preferences: Companies should be aware of whether their target audience prefers “human-made” or artificial intelligence-generated material, and adjust their approach appropriately.

  • Impact on Trust: Marketers should keep a careful eye on user attitude around AI usage, even if properly labelling synthetic material may help to limit negative effects on trust.

  • Ethical AI Development: It is important to emphasise the necessity of ethical AI development and responsible usage since rushing to employ immature AI technology might backfire.

  • Increase in Technology Interest: Marketers should keep up with the latest developments in digital watermarking, metadata standards, and synthetic media identification techniques since these areas are expected to see a rise in interest.

Also Read: WhatsApp Will Soon Work to Enable Chats with Other Encrypted Messaging Apps

Conclusion

When it comes to addressing the issues raised by AI-generated material on social media sites, Meta’s endeavour represents a major advancement. With an emphasis on openness and user knowledge, Meta wants to enable consumers to choose the material they consume with knowledge. Businesses and marketers need to adjust their plans to appropriately negotiate the shifting terrain of synthetic content as the digital media ecosystem continues to change.