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marketingprofitmedia · 3 months ago

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AI Tuber Review – Create Viral YouTube Videos Without Showing Your Face

Welcome to my AI Tuber Review, This is a genuine user-based AI Tuber review, in which I will discuss the features, upgrades, price, demo, and bonuses, how AI Tuber can benefit you, and my own personal opinion. Brand New YouTube Approved AI App Transforms Anyone Into A Top Professional YouTuber Like Mr. Beast And Instantly Drives Millions of Views & Subscribers in Less Than 2 Minutes!

Are you ready to become the next YouTube sensation without ever showing your face on camera? With AI Tuber, you can! AI Tuber is the ultimate AI-powered tool that takes the hassle out of YouTube content creation. Imagine creating professional, engaging videos without ever having to be on camera. Sounds amazing, right? YouTube has become a dominant platform for creators to share their ideas, stories, and talents. However, building a successful YouTube channel requires more than just creativity; it demands time, consistency, and technical skills. AI Tuber is a revolutionary tool designed to simplify the content creation process for YouTubers by leveraging the power of artificial intelligence. With AI Tuber, creators can automate tedious tasks like video editing, scripting, SEO optimization, and audience engagement, allowing them to focus on producing high-quality content and growing their channel effortlessly.

What Is AI Tuber?

AI Tuber is a cloud-based AI-powered platform designed to streamline and automate various aspects of YouTube content creation. By leveraging advanced algorithms, AI Tuber can assist you in generating ideas, writing scripts, creating thumbnails, and even editing videos. The platform aims to empower creators of all levels, from beginners to seasoned professionals, to produce professional-quality content with minimal effort.

AI Tuber Review: Overview

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Product Name: AI Tuber

Launch Date: 2024-Sep-05

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AI Tuber Review: Key Features of AI Tuber

Uddhab Pramanik, the creative mind behind AI Tuber. Pramanik is at the top of the tech industry because he is always looking for new ways to do things. He is leading the way in creating AI-powered app’s, software’s that open up new possibilities for users all over the world. Uddhab Pramanik is a tech pioneer who has helped move AI technology forward so that groundbreaking uses are no longer just a pipe dream but a real possibility for everyone.

Explore Pramanik’s impressive portfolio to see his list of successful launches, which includes OneAI, MusicBuddy AI, SiteRobot AI, Dropify AI, WP Defense, Explainer Video AI, MobiApp AI, FunnelBuddy AI, AiWizard, SendBuddy AI, Ink Buddy AI, Ai Channel, ViralDashboard A.I., NeoCloud, Vidzio, Ai Agent, Ai Songs. and many others.

AI Tuber Review: Key Features of AI Tuber

Transform Yourself Or Anyone Into A World-Class AI YouTuber Like Mr. Beast & Generate Millions Of Views & Subscribers On Complete Autopilot.

1-Click Automated Subscriber Finder Technology — Instantly Broadcast Your YouTube Videos & Shorts Directly To Your Niche Audience, Effortlessly.

Drive 10,000 To 50,000 Daily Subscribers On Complete Autopilot.

AI YouTube Avatar Creation: Design Custom Avatars With Dynamic Facial Expressions & Adaptive Lip-Syncing.

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Ai-Generated Videos: Effortlessly Create Captivating YouTube Videos And Shorts With AI-driven Scripts And Stunning Visuals.

Premium Voices: Transform Your Videos With AI-generated Voices That Sound 100% Human, Adding Authenticity And Appeal.

Multilingual Video Production: Expand Your Reach Globally With YouTubers Creating Content In Over 140 Languages.

Custom Backgrounds: Personalize Your Videos With Uniquely Designed Backgrounds That Elevate Your Brand’s Visual Appeal.

AI Logo Design: Instantly Craft A Professional Logo For Your Brand Or Channel, Giving You A Polished And Recognizable Identity.

AI Thumbnail Maker: Design Eye-Catching Thumbnails That Grab Attention And Make Your Content Impossible To Ignore.

AI YouTube Channel Name Generator: Get Perfect, AI-Generated Channel Name Suggestions That Resonate With Your Audience.

AI Video Title Suggestions: Receive Compelling, Search-Optimized Video Titles That Drive Clicks And Boost Discoverability.

AI Hashtags: Optimize Your Content’s Reach With AI-recommended Hashtags Tailored For Maximum Visibility.

AI Editing Suite: Edit And Refine Your Videos With Ease Using Powerful AI-driven Tools.

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AI Tuber Review: How Does It Work?

Transform Yourself or Anyone Into Faceless AI YouTuber In Just 3 Steps!

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AI Tuber Review: Can Do For You

AI Tuber Avatar Creation: Design custom avatars with dynamic facial expressions and adaptive lip-syncing.

AI-Generated Videos: Automatically create YouTube videos using AI-driven scripts and visuals.

Premium voices: Use Our AI To Create a 100% Human Like Voice for Your Video.

Multilingual Video Production: Create content in over 140 languages to reach a global audience.

Dynamic Facial Emotions: Customize the emotional tone of your videos to match the script.

Custom Backgrounds: Design and integrate personalized backgrounds into your videos.

AI Logo Design: Create a professional logo for your brand or channel using AI.

AI Thumbnail Maker: Design eye-catching thumbnails to attract viewers and make your content stand out.

AI YouTube Channel Name Generator: Get AI-generated suggestions for the perfect channel name.

AI Video Title Suggestions: Receive compelling, search-optimized video title ideas.

AI Hashtags: Optimize your content for discoverability with AI-recommended hashtags.

Script Management Tools: Manage and organize scripts within the app for easy video creation.

AI Editing Suite: Use AI tools to edit and refine your videos effortlessly.

Interactive Video Elements: Add clickable elements to enhance viewer engagement on YouTube.

Platform Integration: Seamlessly upload videos directly to YouTube and other platforms.

Verify Users Say About AI Tuber

AI Tuber Review: Who Should Use It?

Affiliate Marketers

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Content Creators

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Coaches/ Trainers

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And Many Others

AI Tuber Review: OTO’s And Pricing

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AI Tuber Review: Pros and Cons

Pros:

Time-saving: AI Tuber automates many tasks, freeing up time for content creators.

Efficiency: It streamlines the content creation process, improving productivity.

Quality: It can generate high-quality content, including scripts and thumbnails.

Cost-effective: It eliminates the need for hiring additional staff.

Creativity: It can inspire new ideas and enhance content quality.

Cons:

You need internet for using this product.

No issues reported, it works perfectly!

Frequently Asked Questions (FAQ’s)

Q. What exactly is AI Tuber?

The World’s First AI BRAND NEW YouTube Approved AI App Transforms Anyone into A Top YouTuber Instantly That Drive Millions of Views & Subscribers — In Less Than 24 Hours!

Q. Do I need some prior skills or experience to get started?

AI Tuber is 100% newbie-friendly with an easy-to-use dashboard.

Q. What happens if I don’t see results?

We’ve got you covered. If you don’t see your desired results with AI Tuber just let us know within the next 30 days and we’ll refund you every penny.

Q. What if I get confused along the way?

Don’t worry we have exclusive detailed video training for you that shows all the required steps.

Q. What if I get confused along the way?

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Q. Is This Compatible on Both PC, Mac, Android And iOS?

It works on any device.

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AI Tuber Review: My Recommendation

AI Tuber represents a significant advancement in the field of YouTube content creation. By automating many of the time-consuming tasks involved in the process, AI Tuber can help creators of all levels produce high-quality content more efficiently. While it may not be a perfect solution for everyone, AI Tuber offers a valuable tool for those looking to streamline their workflow and elevate their YouTube channel.

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Check Out My Previous Reviews: AI Traffic Surge 2024 Review, UPLOAD n’ BANK Review, VinciPro AI Review, SoundWaves AI Review, Pulse AI Review, AI Pixel Perfect Review, and iSenseHUB AI Review.

Thank for reading my AI Tuber Review till the end. Hope it will help you to make purchase decision perfectly.

Disclaimer: This review is based on the information available at the time of writing and is intended for informational purposes only. The author does not claim ownership or affiliation with AI Tuber. The views expressed in this review are subjective and personal opinions. Readers are encouraged to conduct their own research before making any purchasing decisions.

Affiliate Disclaimer: Please note that this review may contain affiliate links. This means that if you click on a link and make a purchase, I may receive a small commission at no additional cost to you. This helps support the creation of high-quality content and does not influence the opinions expressed in this review.

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zannatykhatun · 10 months ago

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Everything we know so far about GPT-5

It has been more than half a year since OpenAI released ChatGPT in November 2022. Major AI enthusiasts have actively embraced the powerful capabilities of LLMs, but at the same time there are concerns about a series of security and ethical issues it has caused. With concerns and expectations coexisting, when will OpenAI release the next generation version of GPT-5, and what new breakthroughs will there be? In this issue, we bring you the latest developments about GPT-5, and put forward thoughts and prospects for the AGI behind GPT.

think

We try to put forward more divergent HE Tuber deductions and reflections based on the content of the article, and welcome exchanges.

Slow down and walk slowly, walking slowly creates depth. The powerful generation capabilities of LLMs have basically emerged. Amid concerns about safety and ethical issues, the slowdown of OpenAI has brought a certain catch-up period to the development of domestic large models. We also believe that the application layer is expected to emerge with definitions during this window period. Future application innovations.

Stronger input and memory, more reasonable pricing, higher factual accuracy and multi-modal processing capabilities are the expectations for the next generation of GPT-5 and other large models.

GPT-5 may be a huge shock, but it is also a drop in the ocean in the infinite galaxy.

In 2023, the use of the buzzword "AI" has increased significantly, and major companies are actively flexing their muscles and implementing tools that can instantly and amazingly react to simple text prompts from users. Amid the hustle and bustle, there is an AI chat tool called ChatGPT that is capable of conducting human-like conversations.

The currently free version of ChatGPT is based on OpenAI's GPT-3.5, which is a large language model (LLM) that uses natural language processing (NLP) and machine learning technology. After its release in November 2022, it triggered a wave of discussions about AI's ability to enhance workflows. In the process, it has also raised concerns that technology could take away human jobs — or pose a threat to humanity in the long term.

GPT-3.5 was replaced by GPT-4 in March 2023, which brought a number of improvements to chatbots, including the ability to input images as prompts and support for third-party applications through plugins. However, just a few months after the release of GPT-4, AI enthusiasts began to look forward to the release of the next version of the language model, GPT-5, and had huge expectations for its intelligent upgrade.

1. When will GPT-5 be released?

OpenAI released GPT-3 in June 2020 and launched an updated version in March 2022, which is called "davinci-002" internally. Then came the widely known GPT-3.5, also known as “davinci-003″, with the release of ChatGPT in November 2022, followed by the release of GPT-4 in March 2023.

Based on the trajectory of previous releases, OpenAI may not release GPT-5 in the next few months. This release may be further delayed due to the general sense of panic caused by AI tools like ChatGPT around the world.

GPT-4 has sparked multiple debates about the ethical use of AI and the harm it can cause to humans. Soon after, hundreds of tech leaders, educators, and celebrities, including Elon Musk and Steve Wozniak, signed an open letter calling for a moratorium on training systems “more advanced than GPT-4.”

Since then, OpenAI CEO Sam Altman has claimed at least twice that OpenAI is not working on GPT-5. In June 2023, Altman said at a press conference hosted by the Economic Times in New Delhi, India: "We still have a lot of work to do before we can develop GPT5. It will take a lot of time. We are very far from it." Previously, at an MIT event in April, Altman confirmed that OpenAI "will not be working on GPT-5 for some time." He added: " We are doing other things based on GPT-4, and I think there are various Safety issues need to be addressed.”

2. Stronger and more beneficial

Currently, GPT-4 can only handle requests for up to 8192 tokens, which is roughly equivalent to 6144 words. OpenAI briefly allowed initial testers to run commands with up to 32,768 tokens (approximately 25,000 words or 50 pages of content), which will be widely available in an upcoming release. GPT-4's current query length is twice that supported by the free version of GPT-3.5, and we can expect GPT-5 to support larger inputs.

It's worth noting that these larger queries also come with a corresponding price. While GPT-3.5 is free to use through ChatGPT, GPT-4 is only available to users of the ChatGPT Plus paid tier. Prices start at $20 per month, which might be a deterrent. As computing needs and chatbot proficiency increase, we may also see the price of GPT-5 increase. Currently, people can choose to use Microsoft's Bing AI Chat based on GPT-4, which is also free. However, you will be tied to Microsoft's Edge browser, where an AI chatbot will accompany you as a "co-pilot" throughout your online journey.

3. Less hallucinations

In addition to being better at producing results quickly, GPT-5 is also expected to be better at factual accuracy. In recent months, we have witnessed multiple times in the output of ChatGPT, Bing AI Chat or Google Bard nonsense - often technically called "hallucinations" because these models are built using limited and outdated data sets for training. For example, the free version of ChatGPT, which is based on GPT-3.5, only contains information through June 2021, so it may give inaccurate answers when asked about events after that date.

In comparison, GPT-4's training data set is more extensive, although these data are still only available as of September 2021. OpenAI points out the subtle differences between GPT-4 and GPT-3.5 in everyday conversations. GPT-4 also performs better on many tests, including the Uniform Law Examination (UBE), Law School Admissions Test (LSAT), Advanced Placement Calculus, and more. Furthermore, it surpassed GPT-3.5 in machine learning benchmarks not only in English but also in 23 other languages.

OpenAI claims that GPT-4 suffers from far fewer "hallucinations" and improves performance by 40% over GPT-3.5 in its "internal adversarial factual evaluation." Additionally, GPT-4 is 82% less likely to respond to "sensitive requests" or "prohibited content" such as self-harm or medical inquiries. Despite this, GPT-4 exhibits various biases, but OpenAI says it is improving existing systems to reflect common human values and learn from human input and feedback.

Eliminating GPT-5's erroneous responses will be key to its wider use in the future, especially in critical areas such as medicine and education.

4. Multi-modal capabilities

Little is known about GPT-4 beyond September 2021, but it has recently gained beta ability to connect to the internet through a dedicated web browsing plug-in update. Microsoft Bing AI chat, based on OpenAI's GPT and recently updated to GPT-4, already allows users to get results from the Internet.

While this means getting more up-to-date data, you may receive results from top-ranking, unreliable sites that use illegal SEO tricks to get high rankings. How these AI models can counter this situation and get reliable results quickly remains to be seen. This may also be one of the areas that needs improvement in OpenAI's future models, especially GPT-5.

In addition to web searches, GPT-4 can also use images as input for better context. However, this is currently limited to a research preview and will be rolled out in subsequent upgrades to the model. We can expect future versions, especially GPT-5, to gain greater ability to handle various forms of data, such as audio, video, etc.

Meta recently announced details about its multimodal AI model ImageBind, which can handle six different types of data: text, images, video, audio, depth, and heat maps. It is not difficult to predict that by the time OpenAI releases GPT-5, it will also have made progress in this area, making it more useful in a variety of work areas, not just as a chatbot or AI image generator.

5. Expectations and concerns about general artificial intelligence (AGI)

Artificial General Intelligence (AGI) refers to the ability of machines to understand, learn and apply any other intelligent tasks that humans can do. This means that AGI is capable of learning and decision-making across domains compared to existing specialized AI such as facial recognition or chatbots. The arrival of AGI has generated huge expectations in the technology sector, but it has also raised many concerns.

Part of the anticipation stems from AGI's potential. If machines could perform any job that humans are capable of, this could have a significant positive impact on society, including automating arduous labor, solving complex problems, and perhaps even opening up entirely new areas of innovation.

However, concerns about AGI are equally strong. First, if AI can do anything humans can do, many people's jobs may be replaced by automation, leading to massive unemployment. Furthermore, if AI decision-making becomes more effective than humans, they could potentially replace human roles in many key areas, including government decision-making, healthcare, and the military. This could raise significant social and ethical issues, especially if the AI’s decisions are inconsistent with human values.

The complexity of these issues has fueled considerable debate, including the moral and ethical responsibilities of AI and how we develop appropriate rules to govern this powerful new technology. In the coming years, as AGI technology advances, these questions are likely to become more pressing.

References:

Author: Vela, Yihao, Leo

Source public account: SenseAI (ID: gh_a54fc6d3826c); pay attention to the global AI frontier, enter technology startups, and provide multi-dimensional thinking for the industry.

This article is published with the permission of Everybody is a Product Manager cooperative media@SenseAI. Reprinting without permission is prohibited.

The title picture comes from Unsplash, based on the CC0 agreement

The opinions in this article represent only the author's own. The Renren Product Manager platform only provides information storage space services.

#HETuber #Music #Gaming #Entertainment #Sports #Science And Technology

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mamun258 · 10 months ago

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AI Application Awards: The new wave of AI is not just for big companies

The wave of generative AI has made huge waves in 2023, and a large number of AI applications have appeared in people's field HE Tuber of vision, such as Miaoya Camera, AI video tool HeyGen, and so on. In this article, the author has taken stock of 6 AI applications. Let’s take a look.

In the past few years, whether in the hardware, software or Internet industries, lack of innovation has been a common impression.

This is of course not to say that there is no innovation, but it must be admitted that smartphones and mobile Internet have been developed for so many years, most of the products and service forms are mature, and all ecological niches are basically crowded with giants and small and medium-sized companies, with only a few entrepreneurs. Companies and new applications can also provide eye-catching innovations at the edges of industries and markets.

But 2023 - what's different about this past year is that the wave of generative AI is here. Starting from the launch of ChatGPT at the end of last year, this round of artificial intelligence wave has not only swept the technology industry itself, but also involved governments, different industries and the general public in this wave.

As a result, a new wave of AI entrepreneurship has set off around the world, as well as the explosion of various AI native applications. In addition to chatbots such as ChatGPT, Claude, Google Bard and Baidu Wenxin Yiyan, we can also see the emergence of Perplexity AI. From native search engines to Miaoya Camera, to HeyGen and Pika.

Looking back on 2023, we shouldn't miss them.

1. Miaoya Camera: The “first contact” with AI photography

Picture/App Store

By uploading about 20 photos, you can create your own digital avatar and generate professional-quality portrait photos. Since its release, Miaoya Camera has shown that it is different from the generative AI products of major Internet companies. Although this is A product created by Youku’s team.

Not only that, Miaoya Camera did not choose the "free" model for C-end users, but set a payment threshold of 9.9 yuan. But even so, Miaoya Camera has still become the new favorite of a large number of young people with its more efficient, unique experience and extremely high "film yield", and its servers are often crowded. In this regard, Lei Technology also has a more in-depth experience and opinion in the article "On the popular Miaoya camera, I saw the "traffic password" of AI applications".

Although the "explosion" of Miaoya Camera came and went quickly, there is no doubt that Miaoya Camera has given some inspiration and reflection to many generative AI applications.

2. Perplexity: A search engine born from a large model

Picture/Perplexity

As a new AI conversational search engine, Perplexity was actually released as early as December 2022. It initially used OpenAI's GPT-3 large model as "power". Later, as ChatGPT exploded in popularity around the world, the model was upgraded to GPT-3.5 and GPT-4 (paid exclusive). In addition, Perplexity has done a lot of exploration and upgrades at the product level and model application level in 2023, which is why it is classified as "New AI Applications in 2023" in this article.

In fact, after many iterations in the past year, Perplexity and Lei Technology have been very different when they first paid attention to it (see the article "ChatGPT becomes the "X factor", Baidu starts a search war again?"), Not only the appearance and functions have changed drastically, but the entire product form has also become more mature and easy to use. At the same time, in addition to providing mainstream models such as GPT-3.5/4, Claude2, Llama 2, and Gemini Pro, Perplexity is also continuing to update large models for independent training.

In the latest round of financing in October 2023, Perplexity's valuation also reached US$500 million.

3. Chirper: Exclusive Weibo for AIs, a social experiment in the silicon-based era

Picture/Chirper

There is no doubt that the social field has always been one of the focuses of every technological revolution. For example, a large number of social platforms emerged after Web 2.0, and a large number of emerging social platforms emerged after the mobile Internet. From this perspective, Chirper at least represents an attempt in the era of silicon-based intelligence.

Chirper is a social platform specially designed for AI, but only AI can publish content, and humans are prohibited from speaking. It is equivalent to Sina Weibo for AIs. Although humans cannot speak and can only watch the AI chatbot post updates, comment, share, and interact, they can still "pinch people" by setting the name, personality, interests, language style, etc. of the AI chatbot to participate. within the community. Even Musk and Sam Altman (OpenAI CEO) were once attracted here.

Chirper's "pinching" process is actually equivalent to a fixed prompt word prefix. When the AI sees other content, it is the main body of the prompt word. Therefore, after the prefix and body are passed to the large model for inference output, the AI's post content and replies will be available.

4. HeyGen: The video "magic" that helped Swift reach level 8 in Chinese

Picture/HeyGen

Just around November last year, some videos suddenly started to become popular on the Internet. For example, the singer Taylor Swift spoke fluent Mandarin. The video clicks were accurate, the timbre was similar, and even the mouth shape was perfectly matched. It deceived many people into calling her. "Fuck". Not only that, we can also see Trump, Mr. Bean, who speaks authentic Chinese, and Cai Ming, who speaks English.

These videos all use the same AI video tool - HeyGen. HeyGen is a product of a domestic innovative company (Shiyun Technology). They hope to transform video production from a traditional shooting-based method to an AI-generated form by developing a visual engine.

But Heygen can actually do more than just AI cross-language dubbing. It should be said that Heygen is a comprehensive and effective AI virtual human application. It is based on the two major technologies of AI Avatar (virtual human image) and Voice Clone (voice cloning). It can be applied to virtual anchors, one-click clothing changes, etc. Various scenarios.

5. Pika: Video generation AI created by two Chinese girls

Picture/Pika

Unlike HeyGen, which was positioned as a commercial tool from the beginning, the latest popular Pika represents a kind of AI video generation company. Although there is still a clear distance from the maturity of the technology, behind the collaborative creation of humans and machines, there are unlimited possibilities. . And Pika is currently the most amazing start-up project in this field.

Although Runway previously announced an upgrade to Gen-2, which brings longer generated video length, in terms of video generation quality, Pika's generation quality is much higher than Gen-2. The biggest problem with text-generated videos is the clarity and consistency of animation generation. Gen-2 can only ensure the stability of the video with small movements. Once the movement amplitude increases, it will produce varying degrees of deformation, but Pika has currently demonstrated Very consistent animation effects.

In addition, Pika's two female Chinese founders have also attracted a lot of attention, but in fact many people don't know that Pika's investors can be said to have gathered half of the AI circle, including OpenAI founding member Karpathy, former Github CEO Nat Friedman, Quora founder Adam D'Angelo, Perplexity CEO, etc. This shows the recognition Pika has received.

6. podcast.ai: AI podcast interviewing “Jobs”

Cover of the first episode, picture/podcast.ai

As a form of content, podcasts have become a new trend around the world in recent years, and music platforms such as Spotify, Youtube Music, and QQ Music have successively built-in podcast functions. But in October 2023, a podcast.ai, a podcast completely generated by AI, debuted, and the first episode was an interview with the AI-generated founder of Apple, Steve Jobs.

podcast.ai went through Jobs's biography and collected all the recordings about him on the Internet, and used Play.ht's language model to train extensively, and finally generated a fake Joe Rogan podcast interview with Jobs. Play.ht believes that in the future all content creation will be generated by artificial intelligence but guided by humans, "the most creative work will depend on humans' ability to express their desired creations into models."

write at the end

In 2023, we will witness breakthroughs and innovations in generative AI technology in multiple fields, from music production to animation to podcast production. AI not only demonstrates the maturity of its technology, but also reveals possible future development directions.

As technology continues to advance, we also expect that AI will play a more important role in various fields in the future. And I believe that in the next year and longer, new AI applications will continue to emerge, spreading new technologies to a wider user group, and will also change the lives of most people.

#watch #upload #video #sharing

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sultanaislammow · 10 months ago

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The digital people of the metaverse are already showing signs of full-scale outbreak.

In the field of the metaverse, digital humans HE Tuber are considered a relatively advanced technology, and many typical cases have emerged.

"Liu Yexi", who debuted under the label of "a virtual beauty expert who can catch monsters", is a relatively eye-catching existence among digital people. On short video platforms, her works have received tens of millions of likes. In 2021, It can be said that he is a phenomenal digital person. With the huge attention, "Liu Yexi" pointed out a bright prospect for commercial cooperation, which is to use this as a traffic entrance for commercial cooperation . Because of their fashion and freshness, digital people are more likely to have an out-of-circle effect than real people, and are favored by many companies, especially companies targeting young people, who often prefer digital people.

Baidu also launched the digital human Xijajia. Not long after his debut, Xijia became the first virtual recommendation officer for McDonald's products, and then successively landed on naked-eye 3D large screens in Chengdu and Dalian. In CCTV News' first "Super Release" "AI deep cultivation, all things grow - Baidu World 2022" online conference, Xijia also appeared as the AI planning officer and host of the conference, which fully reflected the role of digital people in various fields. Plasticity and adaptability.

Live streaming, singing and dancing, hosting events, image endorsements... The application prospects of digital people are extremely broad, and these applications have already been implemented, rather than just an expectation. Let us return to the value of digital humans in the metaverse, which is to undertake the production and transmission of information . For metaverse links such as "people-things-field", digital people are well-deserved core digital assets and elements. Various industries can be empowered by it and inspire more creativity.

The Toubao Research Institute has given a forecast that is very optimistic about the future development of virtual digital humans. It is estimated that its market size will reach 270.3 billion yuan by 2030, among which identity-based virtual humans will dominate the future development. Realistic progress also confirms such predictions. The launch of digital talents such as Liu Yexi and Xi Jiajia has been applied in scenarios such as live streaming and marketing, opening up business logic and realizing commercial monetization. This is also Promotes the positive cycle of digital people.

Compared with other technologies that only cost money but make no sound, digital people do have full potential.

3. The XR ecosystem of the Metaverse, Apple opens a window

What the Metaverse brings to humans is a digital life experience, and the level of this experience is limited by the level of hardware. From thin and light AR smart glasses to high-definition display VR all-in-one machines, many iterations of XR devices have brought us one step closer to realizing the metaverse .

Of course, XR is more than just a helmet or glasses. It covers VR/AR/MR and other related technologies. It is the next generation experience revolution and computing platform, an advancement in the integration of the digital world and the physical world, and an integration of computing power, connection and display. revolutionary upgrade.

Meta, Microsoft, Apple and other giants have invested heavily in XR, and have made a lot of progress in near-eye display technology, perceptual interaction technology, etc. It can be said that as the next generation hardware carrier, the current development status of XR is very similar to smartphones Entering the turning point stage of rapid development.

Just a few days ago, Apple launched its first-generation mixed reality head-mounted display device, Vision Pro. This is a device that is worn in the form of glasses. You can navigate with your eyes, click and scroll the screen with your hands, and give commands with your voice.

The revolutionary breakthroughs brought about by Vision Pro are surprising. It virtually eliminates latency, with new images arriving on the display in 12 milliseconds, faster than a human can blink. It even cooperated with Zeiss to customize optical inserts that can be magnetically attached to the lenses to facilitate services for myopia people. Such emerging hardware has a great boost in building the XR ecosystem.

With the help of corresponding hardware, XR will realize two major trends, from real to virtual and from virtual to real, and ultimately move towards the vision of the metaverse integrating virtual and real. Of course, it seems that after the hardware follow-up, XR needs to have a corresponding content ecosystem to truly retain users.

Apple released ARkit in 2017. At that time, it was not clear how far-reaching this move would be. However, through it, a large number of AR applications have emerged in the Apple Store. There are now tens of thousands of them, which has greatly enriched the entire XR content. ecology. What's more valuable is that these applications are by no means "generating electricity for love", but can actually provide benefits. According to Meta, as of February 2023, there are already 200 applications that can earn more than $1 million in revenue from Meta, and their number has increased by 44% compared with the same period last year. Moreover, Meta’s Quest series already has 6.37 million active players.

It can be expected that relying on 5G infrastructure and hardware support, the expansion of the XR ecosystem will gradually achieve the integration of virtual and real, forming a positive cycle of hardware-content-ecology . It can be said that the gradually evolving XR ecosystem is waiting for the arrival of a killer application.

#HETuber #Music #Gaming #Entertainment #Science And Technology

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mamun52 · 11 months ago

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Let the coming come: AI aging-adapted upgrade

The most critical factor in promoting the aging-friendly upgrade of AI should be that the composition of the elderly group has changed.

Around 2020, the golden generation HE Tuber began to gradually retire, and those born in the 1980s entered middle age. The generation born between 1960 and 1970, known as the golden generation, became the backbone of social development and economic growth around 2010. With the rapid growth of China's economy, as well as factors such as environmental improvement, public security optimization, and improvement of public medical standards, Whether it is physical condition or wealth accumulation, the elderly have better conditions than before.

The "2023 China Private Wealth Report" released by China Merchants Bank shows that more than 51% of high-net-worth individuals are 40 years old and above, and more than 90% are 30 years old and above.

As the golden generation ages, its impact on the silver economy is very obvious.

At the 2023 Elderly Expo, many grandparents walked around the exhibition by themselves in wheelchairs and crutches, actively looking for their favorite elderly care and assistance products, instead of blindly relying on younger generations or traditional equipment suppliers.

Needless to say, those born in the 1980s have higher digital literacy than previous generations, and have a proactive awareness of retirement planning. They are also young, have an international perspective, and are very concerned about cutting-edge retirement technology.

The elderly group and its reserves have been transformed into a group of people with demand, understanding and consumption ability for AI products, which has laid the foundation for the upgrade of AI for aging.

The explosion of large models in 2023 will bring a burst of east wind to the adaptive aging of AI.

So, what practical progress will be made in AI aging-friendly products in 2023?

Let’s talk about the ones that have been implemented first.

First, changes in human-computer interaction:

In meeting the needs of the elderly, traditional AI may still be "intelligent for the sake of intelligence". The diverse and refined functions are difficult for the elderly to master, and the designs, interaction methods and quality of different manufacturers vary. Similarly, it is easy for the elderly to have problems such as inability to use, difficulty in using, difficulty in operating, and potential safety hazards.

A developer from a mobile phone manufacturer told me that during user interviews, one of the biggest problems for elderly users is that when they receive a customer service call, they are prompted to press the XX button. The elderly understand it, but their hand movements are slow and the smartphone touches the phone. The screen is very sensitive, so it is easy to accidentally touch it, resulting in repeated failed operations.

The actual decline in physical functions of the elderly and the lack of targeted adjustments in smart products for aging have led to many elderly users becoming repulsive and unwilling to deal with smart machines.

The large language model has powerful understanding, analysis and interaction capabilities, truly realizing a natural language user interface (LUI, Language as User Interface). It also supports multi-modal recognition and free conversion between videos, pictures, speech and text. It can subversively change the way the elderly interact with smart machines, which is very helpful for non-digital native elderly people to use AI products.

For example, complex steps that originally required manual operation can now be described in a sentence of natural language; prescriptions that originally required typing by hand can be automatically recognized into text by taking a photo, making it easier for the elderly to communicate with doctors and nurses online.

It can be said that the large language model’s mastery of human knowledge, unprecedented understanding and generalization capabilities can effectively bridge the digital divide and allow elderly people who are unfamiliar with smart products to easily overcome difficulties.

In 2023, almost all leading domestic mobile phone manufacturers will upgrade mobile operating systems with large model capabilities. Among them, vivo’s OriginOS 4 particularly emphasizes the new simple mode, elder care and elderly color research and other aging-friendly functions. OPPO's ColorOS 14 has added many new smart integration experiences. For example, when you encounter a problem using the phone, you don't need to look up the solution yourself, you can directly ask the new Xiaobu Assistant. The call transcription function uses large models to automatically extract key information to avoid missing key information. , are very friendly to the elderly group.

In addition to the above C-side scenarios, human-computer interaction supported by large models has also brought changes to the smart elderly care services of the government and public sectors. For example, the smart elderly care in Hexi District of Tianjin is supported by JD.com’s large-scale Yunyanxi model. Through intelligent voice outbound calls, it serves 200,000 elderly people in Hexi District for home care. The platform will make daily calls to inquire about their physical conditions and chat. This greatly reduces the work difficulty of community personnel.

Another application that has already been implemented is the advancement of intelligent health management.

The biggest problem facing the elderly comes from health threats. Traditional smart devices, such as the smart spoon we have reported, use AI algorithms to reduce hand shaking so that Alzheimer's patients can eat independently; smart pill boxes remind elderly patients with chronic diseases to take medicine regularly; or wearable devices, such as Clothing sensors and shoe sensors can timely track the body and travel status of the elderly through data collection and positioning.

Limited by the capabilities of traditional machine learning, it can often only achieve relatively simple health management capabilities, and it is difficult to bring about qualitative changes in improving the health level and quality of life of the elderly.

The large model + health management has also undergone major changes in the past year.

In terms of software, with the help of general large models, some barriers to health knowledge and health management for the elderly are reduced. For example, at the Baidu World Conference in 2023, interactive AI medication instructions were launched in response to the country’s call for age-appropriate reform of drug instructions. Users interact with virtual humans in real time to solve the problem of unclear, incomprehensible and font-size problems in traditional paper instructions. Small pain points. You can also set medication time and remind users to take medication on time through message notification or voice.

In terms of hardware, active health management using new wearable devices will become possible in 2023. Wearable devices are no longer passive collectors of data, but medical assistants that actively provide health guidance for the elderly. At the Huawei HDC 2023 Sports and Health themed exchange event, experts from major domestic hospitals and medical academies shared reports on the use of wearable devices using pulse wave PPG signals to screen and manage risks such as atrial fibrillation and sleep disordered breathing syndrome. , cardiovascular disease risk screening, non-invasive hyperglycemia risk assessment, portable and accurate hypertension measurement, emotion recognition and intervention, etc., have played a significant role.

The "three highs" problem of the elderly may be well-known to everyone. There are many wearable devices and professional equipment on the market that can detect them. The gap in emotion detection is particularly expected to be filled in 2023.

A scientist said that the team cooperated with Anhui Feidong Traditional Chinese Medicine Hospital and used Huawei bracelets to monitor the emotional problems of hundreds of elderly people. Within a month, they successfully predicted two cases of suicide intention and prevented the elderly from committing suicide. Rural nursing homes generally do not have professional psychological counselors, only nursing and service staff. It is difficult to detect the negative emotions of the elderly in time. The team later distributed more than a hundred bracelets to the elderly in the nursing homes. The elderly responded very well. Think of it as the invisible doctor around you. Questionnaire results also show that using a smart bracelet combined with simple conversations can significantly reduce the depression and anxiety levels of elderly users.

We know that domestic medical institutions are "top-heavy", and large tertiary hospitals bear a very heavy burden of diagnosis and treatment. The efficiency of the elderly in obtaining these medical resources is low. In the end, health management still largely falls on the elderly users themselves. Take the initiative to participate. Through intelligent health management products suitable for aging, real-time monitoring, proactive prevention, and early intervention can increase the elderly's compliance with medical advice on health management and greatly improve the health of the elderly.

If the first two items are

"AI assisting the elderly", then technology empowering the elderly also gives them more choices besides "being taken care of".

At an event in 2023, I heard a not-so-grand, but very warm story from a smart agricultural machinery entrepreneur. It is now difficult to force young people to engage in hard, dangerous, low-paying agricultural production. Even people in Africa and Southeast Asia are unwilling to work in the fields. This is human nature. Our driverless tractor kit allows the tractor to run in straight lines and curves in the field. People don’t have to sit in the car in the wind and sun, and can just play with their mobile phones next to them.

Because the aging of the rural labor force has become very serious, our customers may not have received higher education, and they may be very old, already 60 years old, so we must solve the problem of aging-friendly design before a new technology can be truly implemented.

"Then, I was shocked by the learning ability of Chinese farmers. Even a 60-year-old man, his acceptance of technology far exceeded our expectations. If he can use a smartphone well, he can use intelligent production tools well. ".

To sum up, the biggest progress in AI for aging in 2023 is from "AI assisting the elderly" to "AI assisting the elderly" and "AI filial piety for the elderly". Because of the substantial progress in technology, it has gained a broader landing stage.

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anjushama · 3 years ago

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Today’s world is Digital Marketing Trend-2021

In traditional marketing utilize traditional media like magazines and newspapers, in digital marketing, uses and digital media, such as social media or websites. ... Digital marketing just utilize this to its benefit by smartly connect in marketing communications into all and each digital path

In 2020 the world folks utilizing 95 million more mobile users.95 million more probable customers may be using a smartphone to search for and purchase products and things online.

Digital development hasn’t paused reached its peak point. As it continues to develop marketers carry on to discover new more paths to reach their audience

This #1digital marketing trend on list .70% of internet users have interacted with all chat boat platforms and solving questions through multiple apps and website Here look at some most

Popular trends in marketing 2021

Video Marketing

Video is the rapid growing form of content .like YouTube, tik-tok people are using video content in huge quantities. people consume visuals like images, illustrations, and videos better than content writing. On video so much content scroll through, it’s easier to watch a short video than read long articles, blogs, etc

According to a review by 50% of people have been impressed to purchased products and services after seeing the brand video, that why more marketers are using video marketing

In 2021 80% of marketers said that video content is a vital part of the content marketing strategy.

Conversational Marketing

Conversational Marketing is based on one-to-one interactions in real-time in multiple ways. It enables you to support Customer relationships increase your online customer experience by communicating and convert interaction online

Conversational marketing is related to talking to your customer when and where it’s convenient for them. That could be a live chat but it could also be Facebook, messenger, what app, telegram, Instagram another type of communication way

Data-Driven Marketing

The maximum marketers verify their data to better serve their customers. So many businesses earn more data than ever before. Customer data gives you access to an unbelievable amount of consumer vision that can be used for direct business opportunities.

Marketing data what tell you

How much traffic you website gets, how long they stay on the website and how many time they visit pages and website

What product and service sell better than others

How you organize our marketing campaign and attracting new people

How many customers are holding and how many are back up a certain period

What you are email open and click-through rates are

how social media content impress higher engagements rate are

how engaged people with website

Nostalgia Marketing

Why Nostalgia Marketing is most impactive is because it makes advertisements, promotions, and campaigns look more down-to-Earth and more reliable to the audience gathering for these types of marketing trend to be highly positive, as it is impacted by the positive emotions and memories of the users.

Many marketers using powerful emotions are in marketing inspirational of feelings of joy, freedom, pride and anger i.e very effective at influencing customer even more powerful

Social CRM is a developing trend

CRM systems have become more modern some have multiway programming for more effective lead generation and customer support service. Social CRM is collecting of social media ways into customer relationship management software

1) you can supervise their communication about your brand and competitors.

2)You can call the direct customer who is already following and engaging with you and social media are easier to sell to.

3)We can manage and respond to incoming customer service queries from your social media way

You-tube Marketing

Today’s popular platform is you-tube is call shorts also. it is the same kind of reels, where you can create short video content for 10 or 15second or under. With this famous short video content today. A YouTube video is a very good opportunity for all those who have their targeted audience on that platform. engaging 15 seconds videos is all it takes now grab the opportunity and attention of your viewers

International Ads

Digital marketing has opened up world doors for every business. you can run ads in different countries and world markets. this is one of the best digital marketing trends because you can get to increase your audience at the same or reduced costs, In some countries, you can also run ads at a much cheaper cost than your own country

Influencer Marketing

Influencer marketing is the more attractive word of mouth marketing that focusing a vital leader or personality to increase the brand promotion in the market. an influencer could be celebrities or you-tubers, Instagrammers with huge followings who can help to develop the word about the brand or business by social media. eduvogue is the best digital marketing institute in Mumbai

Chat Boats –

Chatbots are considered one of the top digital marketing trends in 2021, the AI-based technology makes use of immediate messaging to chat with direct customers, and with site visitors. It is designed to interconnect with direct customers by written or auditory methods.

Automated Email Marketing

As suggested, automated email marketing is sending emails to customers automatically based on schedules you set

Emails have always been the most reliable way of digital marketing, Promotional emails are the very surprising path to reach your potential customer and let them your company or organization have achieved a sale in next some days. personalized emails are a great way to bring back the attention of your customer and more engaged customer base

Digital marketing courses

Marketing techniques like search engine optimization (SEO), pay-per-click advertising(PPC), and social media marketing can prove to be beneficial, SMO( social media optimization), Google Adwords, Google Analytics, Google search console. you can start your blog or social media identity. Search engine optimization proposals companies an opportunity to grow their businesses

Massive Demand For Digital Marketers.

Marketing is a very vital part of a business's growth. some folks may not agree, and say that product upgrading is the most important. The sudden insight of smartphones, personal computers, and the internet to the masses has changed the media consumption and buying behavior of consumers. Traditional marketing systems are no longer sufficient to reach customers. Eduvgue provide digital marketing with a certificate

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mamun258 · 10 months ago

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After making $1.6 billion in 2023, will OpenAI continue to be popular?

As the current leader in the large model field, OpenAI’s revenue exceeded US$1.6 billion last year. You know, in 2022, its annual revenue HE Tuber will be only $28 million, not even as much as one week this year. There are factors for the popularity of the AI track, and there are also reasons for the success of its own business model; now as it launches GPTs, we analyze its profit model, which may provide a feasible solution for the commercialization and future development of similar products at home and abroad. Insight dimensions for reference.

Recently, foreign media reported that due to the rapid growth of the artificial intelligence "star product" ChatGPT, OpenAI's annual revenue has exceeded 1.6 billion U.S. dollars, which is only 1.3 billion U.S. dollars in annual revenue from CEO Altman in October. Two months have passed .

If you look at the numerical comparison, OpenAI's annual revenue growth is even more amazing. Its annual revenue in 2022 is only $28 million, not even what it brought in in one week this year.

More importantly, as the service scale expands, OpenAI announced a major price reduction at its first developer conference, which means that further price reductions will bring more users and greater development space to OpenAI. At the same time, the developer conference also revealed more news about the GPT Store, which many people believe will become the "AppStore moment" of the big model .

As the current leader in the large model track, every move of OpenAI can become a leader and reference for the entire AI track. Therefore, by analyzing the profit model of OpenAI when it launches the plug-in application store GPT Store, we may be able to provide a reference dimension of insight for the commercialization and future development of similar products at home and abroad.

1. OpenAI makes money in three main areas: user subscriptions, developer payments and Microsoft’s share

Since ChatGPT became popular in early 2023, as OpenAI has continued to iterate its products and successively launched GPT-4 and GPT-4 Turbo, its company's business model has also developed rapidly. After exploration and practice in 2023, OpenAI’s current business model can be divided into three parts:

The first part is for the majority of users and is also the membership subscription service that individual consumers are most likely to come into contact with. Starting from the beginning of 2023, OpenAI has launched a membership subscription service called ChatGPT Plus. Users can pay $20 per month to get faster response services, and at the same time have priority in using more powerful models such as GPT-4.

In terms of paying user scale, OpenAI has not yet disclosed clear figures. However, according to data from American venture capital firm A16Z, as of July last year alone, the number of paying users of ChatGPT Plus reached about 2 million. In addition, OpenAI temporarily closed the registration of new paying users in November last year due to the surge in users, so it can be speculated that the number of paying users may be in the millions.

In addition, the GPT Store, which will be launched in the near future, is also expected to have more impact on membership subscription services. At the first developer conference in November last year, CEO Altman said that the GPT Store will include the most popular GPTs and will also carry out a creator sharing plan, which means that the emergence of the GPT Store will further stimulate the number of users and the scale of paid subscriptions. Increase.

The second part is also the core revenue of OpenAI, which is the API interface call charging model for developers. In this mode, developers can call GPT series large models, DallE text generation image models, speech recognition models and other functions, and need to pay OpenAI according to traffic billing.

Also at the first developer conference, OpenAI also brought a major upgrade to the API interface call charging model, not only bringing an updated GPT-4 Turbo model, but also a big price reduction. At this meeting, CEO Altman said that the input cost of GPT-4 Turbo is one-third that of GPT-4, while the output cost is reduced to one-half , which greatly reduces the user's cost of use.

At the same time, GPT-4 Turbo has several major upgrades compared to GPT-4, including longer context length, stronger control, model knowledge upgrade, multi-modality, etc. This behavior of “increasing volume and reducing prices” will attract more developers and companies to apply GPT technology to their products and services, and then become customers of OpenAI, gradually establishing a new business ecosystem around OpenAI.

The third part of OpenAI's commercial revenue comes from cooperation with Microsoft. After Microsoft invested billions of dollars to become the largest investor, OpenAI has worked closely with various products owned by Microsoft. As one of the largest clouds in the world, Azure and OpenAI jointly launched Azure OpenAI for enterprise customers at the beginning of last year. For every payment made by a customer through the Azure cloud model, OpenAI will receive a corresponding share.

It is understood that companies such as IKEA, Volvo and Coca-Cola are all obtaining OpenAI interface services through Microsoft's Azure cloud. This means that, with Microsoft’s partnership with many large companies, OpenAI can easily obtain the cooperation business and revenue sharing of these large companies.

It is worth mentioning that OpenAI’s success in the above-mentioned commercialization has far exceeded management expectations, and the company’s revenue expectations have experienced several increases in 2023. Earlier last year, CEO Altman believed that OpenAI’s revenue in 2023 would be only about $200 million. In September, this number increased to 1 billion, and then to 1.3 billion, and today’s annual revenue is $1.6 billion. Compared with the initial expectation of 200 million, it has tripled .

Judging from this growth rate, coupled with OpenAI's "big discount" on interface services, the number of GPT users and coverage are likely to reach a higher level in 2024. It is precisely for these reasons that OpenAI, which currently has advantages in product technology and commercialization, has set a new goal of annual revenue reaching US$5 billion in 2024.

2. Hardware, operation, and labor costs are “three high”, and employee salaries exceed 200 million

However, while annualized revenue is growing like a rocket, OpenAI, as a technology company at the forefront of artificial intelligence, has also invested a lot of money in scientific research and expenditures, and can be called a "gold-eating beast."

From the perspective of OpenAI’s business operation model, in order to support the competitiveness of its large-model products, OpenAI’s expenses are mainly divided into three parts:

One is the hardware investment and training costs during the development of large models. As a cutting-edge achievement in computer science, large models are naturally inseparable from computing hardware such as computers and chips. Microsoft’s US$1 billion investment in OpenAI and the subsequent additional US$10 billion were spent on AI supercomputers and chips. Big head. According to Microsoft executives, in order to provide sufficient computing power, the supercomputer built is equipped with tens of thousands of NVIDIA A100 GPUs, and a total of hundreds of thousands of NVIDIA GPUs have been deployed in more than 60 data centers.

In addition to hardware costs, the cost of training large models during development is also very high. According to the report "How much computing power does Chatgpt require" published by Guosheng Securities in February last year, it is estimated that the cost of training GPT-3 once is about US$1.4 million. For larger LLM models, the training cost ranges from US$2 million to US$12 million. between. It should be pointed out that what is mentioned here is the single training cost of GPT-3. The training costs of later models such as GPT-3.5 and GPT-4 with larger amounts of data will only be more, not less.

The second is daily operation and maintenance costs. The foreign media Analytics India Magazine estimated the daily operating costs of OpenAI last year. It speculated that OpenAI would need to spend approximately US$700,000 per day to maintain the normal operation of ChatGPT . Moreover, after the GPT fire, the surge in visits will directly lead to a doubling of daily operating costs.

The third is the high labor cost. The IT industry is an intellectually intensive industry, and the average salary of engineers is relatively high, especially in San Francisco, where OpenAI is located. Previous reports stated that since OpenAI’s employees include many big names in the field of machine learning, the entire company’s salary costs are more than US$200 million when the company has only more than 300 employees.

As giants such as Google and Meta are also trying to catch up in the large model track, in order to prevent the loss of employees, OpenAI is bound to increase their salaries again to retain employees.

In addition, it should be noted that the various income and expenditures of OpenAI mentioned above are basically in the first stage of AIGC commercialization, that is, the early adopter stage. In the book "The Future of AIGC Has Come to the Era of General Artificial Intelligence", the author divides the commercialization of AIGC into three stages, namely: Perception Impact-Early Adoption Stage, Cognitive Comprehension-Assistance Stage, and New Ecological Chain- original stage .

Judging from the current mainstream chatbots and multimedia products such as text-generated pictures and videos, AIGC is still in the first stage of meeting users' early adopter needs through pictures and videos. The reason why most people are pursuing AI is simply because it is a new thing that has never appeared before, and they need to satisfy their curiosity from the experience of using it .

How to make AIGC go beyond simple assistance and become an important carrier of virtual and real integration, and even further complete tasks such as independent creation and original content, has become the future goal of companies such as OpenAI. After all, when users become more and more familiar with AIGC and lose the motivation to try new things, users and enterprises will naturally put forward higher requirements for the productivity of artificial intelligence. If OpenAI cannot come up with satisfactory product upgrades by then, users' Willingness to pay will be greatly reduced.

3. What does OpenAI sell with its $1.6 billion annual revenue?

When we analyze the leap in OpenAI's annual revenue target from US$200 million to US$1.6 billion, it is not so much that OpenAI is selling products, but rather that they are selling people's early experience and future imagination of artificial intelligence technology.

However, after early adopters have passed, only when these new technologies demonstrate their value in more practices can they move from technological gimmicks to a new stage of commercialization that is combined with practice. Otherwise, it will just be like Boston Dynamics in the field of robotics. Although its product performance is at the forefront of the world, its company has almost been losing money and being sold because it does not have many application scenarios in reality.

After a whole year of excitement in 2023, there are actually two voices in the generative AI industry: it will "cool" in the future and it will continue to boom.

Needless to say, those who believe that the craze will continue to be popular, while those who believe that it will cool down mainly focus on the introduction of AI restriction bills in various countries, the controversy caused by the infringement of AI model training content, and the inability of many companies to cover the benefits brought by AI tools. Due to its costs and risks, these customers will withdraw from the AI field. The entire industry will also undergo a round of consolidation, phasing out some players. Of course, the cooling mentioned here is only compared to the hotness in 2023. The "cooling" of the AI industry is more like a callback to the normal development range.

Although the current Silicon Valley giants are very optimistic about the development of AI, there have been three "AI winters" in the history of artificial intelligence development. No matter how grand the technological vision is, it may come to nothing due to various practical constraints. Applying this principle to OpenAI means that if ChatGPT wants to continue to be popular in the future, it must have the ability to clearly prove its value in addition to its novelty.

Author: Lumens, WeChat public account: Morketing (ID: Morketing)

This article was originally published by @Morketing on Everyone is a Product Manager. Reprinting without the permission of the author is prohibited.

The title picture comes from Unsplash and is based on the CC0 license.

The opinions in this article represent only the author's own. The Renren Product Manager platform only provides information storage space services.

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mamun258 · 11 months ago

Text

The large language model has powerful understanding

analysis and interaction capabilities, truly realizing a natural language user interface (LUI, Language as User Interface). It also HE Tuber supports multi-modal recognition and free conversion between videos, pictures, speech and text. It can subversively change the way the elderly interact with smart machines, which is very helpful for non-digital native elderly people to use AI products.

Another application that has already been implemented is the advancement of intelligent health management.

The large model + health management has also undergone major changes in the past year.

In terms of software, with the help of general large models, some barriers to health knowledge and health management for the elderly are reduced. For example, at the Baidu World Conference in 2023, interactive AI medication instructions were launched in response to the country’s call for age-appropriate reform of drug instructions. Users interact with virtual humans in real time to solve the problem of unclear, incomprehensible and font-size problems in traditional paper instructions. Small pain point. You can also set medication time and remind users to take medication on time through message notification or voice.

If the first two items are "AI assisting the elderly", then technology empowering the elderly also gives them more choices besides "being taken care of".

3. Accelerate the arrival of what should be: What other expectations are there for AI to adapt to aging?

A JD.com technician said when he heard an AI smart outbound call to an elderly person living at home: “When users feedback that the technology has really helped us and truly feel the care and warmth that the technology has given them, I feel All the overtime work was worth it."

The founder of Fengjiang Intelligence said, "Just now all the big names have shared their cases of high-precision technology and reaching for the stars and the moon technology. The story I shared is not particularly high-tech, but how cheap technology has changed The corners we can’t see.”

Today, we are getting closer and closer to AGI general artificial intelligence, but increasingly powerful AI must eventually be polished into a product that users can afford, use well, and have very low barriers to use. Suitable aging is where AI or AGI will inevitably reach.

AI is suitable for aging. In addition to "it should be so" ethically, it must practice technology for good; economically, it will also be the main focus of the silver economy.

The market is mainly left to the market. In the future, the government and public sectors will still be the main users of smart aging products. However, at the same time, technology companies will also accelerate the development of new aging products to meet the needs of the elderly and seize the opportunity. Seize the business opportunities of the “golden generation” and silver-haired economy.

The most anticipated AGI+ aging-appropriate product in 2023 should be embodied intelligence that can provide elderly care.

At the end of the year, Stanford's housekeeping robot Aloha became popular because it was "good at" housework such as closing curtains, using a vacuum cleaner, twisting bottle caps, taking out the trash, and doing laundry. It has quickly become the "first choice for elderly care" in the minds of netizens. Even though its cost is as high as 200,000, it cannot stop everyone's enthusiasm for robot elderly care. Some even claim that it "will change the desire to have children."

But soon, the robot overturned. Its developers later released a series of rollover videos. It turns out that Aloha will knock over the wine glass when pouring red wine, burn the pot black when cooking, and cannot find the plate when trying to pour the food out... It seems that the robot is taking over the work of the caregiver. , but it still takes time.

Despite this, the potential of embodied intelligence supported by large models in elderly care scenarios cannot be underestimated.

In 2023, technology companies such as Google, Microsoft, and Tesla have successively announced their own embodied intelligence products. Domestic leading technology companies such as Huawei and JD.com have also begun to lay out their own related layouts in the field of embodied intelligence.

To put it simply, AGI is to move from the digital world to the physical world, and be implemented in robots, robotic arms, unmanned vehicles, and drones, so that robots/simulators in the physical world are intelligent and can interact with the environment, perceive, and execute like humans. Various tasks.

Embodied intelligence is the next development direction of large models. Robots can better understand and apply high-level semantic knowledge, automatically analyze their tasks and split them into specific actions. This is a task that is difficult for traditional AI to complete, and it also allows The vision of AI-based elderly care has never been clearer.

Perhaps Aloha is still some way off from commercial use, but the development of senior care technology has been evolving at a speed beyond our imagination.

Another thing worth looking forward to is the smart aging-friendly renovation of the whole house.

The home scene is a key area of the silver economy. Japanese scholar Chizuru Ueno mentioned in her book that a survey on elderly care methods in Japan showed that what determines the satisfaction of elderly life is having truly trustworthy friends in a familiar place. (relatives), and living as you please, these conditions are not possible no matter how high-end a nursing home is.

The demand for aging-friendly home decoration is particularly strong, and is currently mainly met by traditional furniture companies, such as VETO's smart lift toilets, sit-stand smart thermostatic showers, wall-mounted folding shower stools and other aging-friendly bathroom products. At the 2023 Beijing Old Expo, household products such as mattresses for Olympic athletes and storage cabinets specially created for Alzheimer's patients also became highlights.

However, aging-friendly smart homes have higher requirements for the intelligence level, collaboration capabilities, interactive experience, appearance design, etc. of IoT devices. At present, whole-house smart manufacturers and technology companies may have greater opportunities. As the demand for smartphone replacements driven by large models is gradually met, terminal manufacturers will definitely focus on the aging-friendly transformation of AIoT smart devices throughout the house to meet the needs of the huge home-based elderly care population.

After a long period of deliberation and 2023 upgrade and evolution, AI adaptive aging is being presented to us in a more complete, socially valuable and economically beneficial way. Smart China will inevitably be accompanied by the continuous improvement of the wisdom level of the elderly. The vigorous development of China's AI-based aging will become a "beacon" for all elderly people in the world who want a better life to refer to.

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mamun258 · 11 months ago

Text

Standing at the turning point of AGI, reimagining senior life

The silver economy and appropriate aging are topics that have been mentioned in the past few years. As the pressure of elderly care HE Tuber becomes more and more prominent, this previously tepid topic has attracted more and more people's attention. With the development of AGI, we seem to be able to see more upgrades and adjustments for aging.

AI adaptability to aging is a topic that Brainly has been paying close attention to since its establishment. We have reported on many domestic and foreign AI elderly care technologies and trends, and have also followed Baidu, Alibaba, Tencent and other technology companies to visit cases of AI product implementation in nursing homes and home-based elderly care communities.

Witnessing the progress of AI for aging all the way, we strongly feel that in the year 2023, when large language models and general artificial intelligence are running wild, AI for aging has also ushered in drastic changes.

Technology is changing. In Altman's latest speech, he suggested that entrepreneurship and technology development should be based on the realization of general artificial intelligence, suggesting that we may be very close to realizing general artificial intelligence.

People are also changing. The "digital generation" such as those born in the 80s and 90s are beginning to enter middle age and plan for their elderly lives. The "golden generation" such as those born in the 60s and 70s are gradually retiring and have strong needs for utilizing their spare energy, enjoying life, and digital consumption. .

Taking AGI as the premise and human purpose, at this moment, it may be time to re-examine AI elderly care and examine the adaptability of technology to aging.

1. Let the past be bygones: How does traditional AI adapt to aging?

All the past is a prologue.

NaoJiTi has been continuously reporting on the progress of AI for aging since 2017. At that time, smart elderly care was already a common option for improving the level of smart cities and government governance, and was gradually implemented. Also in 2017, the Ministry of Industry and Information Technology, the Ministry of Civil Affairs, the National Health Commission and others jointly issued the "Smart Healthy Elderly Care Industry Development Action Plan (2017-2020)", which clarified the definition of smart healthy elderly care.

Looking back at the age-appropriate AI at that time, there are several main features:

1. Government-led, helping the elderly is the core

The implementation of AI products among the elderly is mostly welfare and inclusive. For the government, community care for the elderly in the jurisdiction and care services in nursing homes are all welfare investments. For technology companies, aging-friendly projects are also regarded as social responsibility and public welfare projects. The core is "smart assistance to the elderly" and reduce the pressure and burden caused by elderly care.

2. Mainly Internet of Things + big data, limited AI applications

The core technology of smart elderly care solutions in 2017 and before is the Internet of Things + big data, which uses video terminals, electrical appliances, induction monitoring equipment, etc. to provide care for home-based elderly care and elderly people living alone in empty nests. At that time, the AI products that could really be applied on a large scale focused on "companionship", mainly smart speakers, which reduced loneliness by chatting with the elderly and dispatched some simple home appliances.

A Beijing nursing home we visited built an "intelligent Internet-connected nursing home model room" that uses smart speakers to turn off lights, turn on air conditioners and fans, and other operations by voice, eliminating the need for the elderly to manually control the room.

As for some more complex embodied smart products, such as "robotic bear" care assistants that can hold the elderly and robots that dress the elderly, to be honest, they were limited by technical reliability and cost and were still considered "black technology" at the time. category, it has not been widely popularized in China.

It can be said that AI was suitable for aging at that time. Whether it was practitioners such as governments and enterprises, or reporters and observers like us, they all belonged to the "niche". After all, there was a lack of conditions on either the demand side or the supply side. There are not that many elderly people, and they generally have low awareness of smart technology, leaving a lot of gaps in demand. Moreover, AI based on traditional machine learning and small models has limited scenarios in which it can exert value.

So, has the turning point of change come?

2. Let the coming come: AI aging-adapted upgrade

The most critical factor in promoting the aging-friendly upgrade of AI should be that the composition of the elderly group has changed.

Around 2020, the golden generation began to gradually retire, and those born in the 1980s entered middle age. The generation born between 1960 and 1970, known as the golden generation, became the backbone of social development and economic growth around 2010. With the rapid growth of China's economy, as well as factors such as environmental improvement, public security optimization, and improvement of public medical standards, Whether it is physical condition or wealth accumulation, the elderly have better conditions than before.

As the golden generation ages, its impact on the silver economy is very obvious.

The explosion of large models in 2023 will bring a burst of east wind to the adaptive aging of AI.

So, what practical progress will be made in AI aging-friendly products in 2023?

Let’s talk about the ones that have been implemented first.

First, changes in human-computer interaction:

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0 notes

mamun52 · 11 months ago

Text

Standing at the turning point of AGI, reimagining senior life

The silver economy and appropriate aging are topics that have been mentioned in the past few years. As the pressure of elderly care becomes HE Tuber more and more prominent, this previously tepid topic has attracted more and more people's attention. With the development of AGI, we seem to be able to see more upgrades and adjustments for aging.

Taking AGI as the premise and human purpose, at this moment, it may be time to re-examine AI elderly care and examine the adaptability of technology to aging.

1. Let the past be bygones: How does traditional AI adapt to aging?

All the past is a prologue.

Looking back at the age-appropriate AI at that time, there are several main features:

1. Government-led, helping the elderly is the core

2. Mainly Internet of Things + big data, limited AI applications

So, has the turning point of change come?

#video #sharing #watch #upload

0 notes