Tag: WhatsApp Broadcast List Building

How to Use WhatsApp Broadcasts and AI for Better ROI.

In the digital marketing landscape, WhatsApp Broadcasts have emerged as a modern-day equivalent of flyers, combining efficiency with precision targeting. The integration of Artificial Intelligence (AI) further amplifies its potential, offering smarter ways to connect with and engage audiences. With a staggering 98% open rates and 35% click rates, leveraging WhatsApp Broadcasts with AI can significantly boost your Return on Investment (ROI). This guide delves into strategies for building a robust broadcast list and utilizing AI to maximize the impact of your WhatsApp marketing campaign.

Building a WhatsApp Broadcast List with AI

In the world of digital marketing, WhatsApp Broadcasts are like the modern-day equivalent of flyers. They offer a combination of efficiency and precision targeting that can help businesses reach their audiences in a whole new way. But what if I told you that you could take your WhatsApp Broadcasts to the next level with the power of Artificial Intelligence (AI)? By leveraging AI, you can unlock even more potential and significantly boost your Return on Investment (ROI).

WhatsApp Broadcasts already boast impressive statistics, with a staggering 98% open rate and 35% click rate. But imagine what you could achieve by integrating AI into your WhatsApp marketing campaigns.

Let’s start by exploring how AI can help you build a WhatsApp Broadcast list. WhatsApp offers several built-in features that can be enhanced with AI. For example, with the WhatsApp Business API, AI can analyze customer interactions and create personalized opt-in invitations. This way, you can leverage AI to attract more subscribers to your broadcast list.

Another feature you can use is the WhatsApp Click-to-Chat Link. By using AI algorithms to analyze user engagement data, you can determine the most effective platforms to place these links. This will help drive more users to engage with your WhatsApp Broadcasts.

QR codes have become increasingly popular in marketing, and WhatsApp offers its own QR code feature. By using AI algorithms to track QR code scans and optimize their placements, you can make sure that your QR codes are working to their full potential.

If you have a website, you can also utilize the WhatsApp Chat Widget. AI can personalize the interactions on the chat widget, improving user engagement and encouraging visitors to join your broadcast list.

Let’s move on to how you can utilize AI in the content and engagement strategies of your WhatsApp marketing campaigns.

AI can help you create personalized newsletters by analyzing subscriber preferences. By tailoring your newsletter content to match what your subscribers are interested in, you can encourage them to provide their WhatsApp details and join your broadcast list.

When it comes to content strategy, AI can be a powerful tool. You can use AI tools to analyze trending topics and user interests for your blogs and glossaries, ensuring that your content remains relevant and engaging. Additionally, AI can help you segment your audience and offer personalized eBooks, reports, and whitepapers to different user groups.

Product demos and samples are a great way to engage potential leads, but AI can take it a step further. By deploying AI to identify leads that are most likely to respond positively to product demos and samples, you can focus your efforts on those who are most likely to convert.

Workshops and webinars are another effective way to engage with your audience. With AI tools, you can identify trending topics and personalize invitations, increasing registration rates and ensuring that you are reaching the right people.

Social media is a valuable platform for marketing, and AI can help you make the most of it. AI algorithms can analyze social media behavior to identify potential leads and optimize your content, ensuring that you are reaching the right audience at the right time.

When it comes to social media ads, AI can help you fine-tune your targeting. By leveraging AI to analyze user behavior and preferences, you can ensure that your ads are being shown to the people who are most likely to be interested in your products or services.

Chatbots have become increasingly popular in customer service, and for a good reason. By integrating AI-powered chatbots into your social media platforms, you can handle complex queries and provide personalized interactions. This can greatly improve customer satisfaction and engagement.

Customer referral programs are a valuable tool for growing your business, and AI can help you make them even more effective. By using AI analytics, you can identify customers who are most likely to refer others and tailor your referral programs accordingly.

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Now let’s focus on how you can maximize your ROI with WhatsApp Broadcasts and AI.

First and foremost, AI-driven personalization is key. By using AI to segment your audience, you can send highly personalized and relevant broadcasts. This will ensure that your messages resonate with your audience, increasing engagement and conversion rates.

Timing is everything, and AI can help you with that too. By leveraging AI, you can determine the best times to send follow-up messages and analyze customer responses for future interactions. This will help you build a strong relationship with your audience.

Continuous AI analytics are crucial for optimizing your WhatsApp Broadcasts. By employing AI tools to analyze the performance of your broadcasts, you can adapt your strategies accordingly. This will help you stay ahead of the game and ensure that you are delivering the most effective messages to your audience.

It’s important to remember that while AI is a powerful tool, it should be used in adherence to best practices and compliance policies. This will ensure that your communication is respectful and effective, building a positive reputation for your business.

Finally, integrating WhatsApp and AI into a broader digital marketing strategy is essential. While WhatsApp Broadcasts and AI are powerful on their own, incorporating them into a comprehensive strategy will result in synergistic effects. This means that you should integrate WhatsApp and AI with other marketing channels and tactics to create a unified and effective approach.

In conclusion, combining WhatsApp Broadcasts with AI offers a powerful opportunity to enhance your digital marketing efforts. By strategically building a broadcast list and employing AI for personalized, data-driven communication, businesses can achieve a significantly improved ROI.

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1. Leveraging WhatsApp’s Built-In Features

• WhatsApp Business API: Use AI to analyze customer interactions and create personalized opt-in invitations.
• WhatsApp Click-to-Chat Link: AI can determine the most effective platforms to place these links based on user engagement data.
• WhatsApp QR Code: Use AI algorithms to track QR code scans and optimize their placements.
• WhatsApp Chat Widget: AI can personalize chat widget interactions on your website, improving user engagement.

2. AI-Powered Newsletters

• Utilize AI to analyze subscriber preferences and tailor newsletter content, encouraging users to provide their WhatsApp details.

3. AI-Enhanced Content Strategy

• Free Content: Use AI tools to analyze trending topics and user interests for your blogs and glossaries.
• Gated Content: AI can help segment audiences and offer them personalized eBooks, reports, and whitepapers.

4. Product Demos and Samples with AI

• Deploy AI to identify potential leads who are most likely to respond positively to product demos and samples.

5. AI-Driven Workshops and Webinars

• AI tools can help identify trending topics and personalize invitations to increase registration rates.

6. Social Media Insights with AI

• AI algorithms can analyze social media behavior to identify potential leads and optimize content.

7. Targeted AI-Enabled Social Media Ads

• Leverage AI to fine-tune your ad targeting based on user behavior and preferences.

8. Chatbots and AI Conversations

• Integrate AI-powered chatbots to handle complex queries and provide personalized interactions on social media.

9. Customer Referral Programs with AI Analytics

• Use AI to identify customers most likely to refer others and tailor referral programs accordingly.

Maximizing ROI with WhatsApp Broadcasts and AI

After building your list, the next step is to harness the power of WhatsApp Broadcasts and AI for maximum ROI.

1. AI-Driven Personalization: Use AI to segment your audience and send highly personalized and relevant broadcasts.
2. Timely AI-Enhanced Follow-Ups: Leverage AI to determine the best times for follow-up messages and to analyze customer responses for future interactions.
3. Continuous AI Analytics: Employ AI tools to continuously analyze the performance of your broadcasts and adapt strategies accordingly.
4. Adherence to Best Practices: Combine AI insights with WhatsApp’s compliance policies to ensure respectful and effective communication.
5. Integrating WhatsApp and AI into a Broader Strategy: Don’t rely solely on WhatsApp and AI. Integrate them into a comprehensive digital marketing strategy for synergistic effects.

If you are not comfortable with AI, you can still leverage WhatsApp broadcast for a good ROI.

1. WhatsApp’s Built-In Features

• WhatsApp Business API: Utilizes an opt-in policy encouraging new users to connect with your business.
• WhatsApp Click-to-Chat Link: This feature allows you to create a clickable link for your WhatsApp business number, making it easier for customers to reach out directly.
• WhatsApp QR Code: Similar to Click-to-Chat but in a scannable QR format. Ideal for offline and online platforms.
• WhatsApp Chat Widget: Integrates a chat feature on your website, directly linking to your WhatsApp business account.

2. Create a Newsletter

• Offer subscriptions for updates about your business and industry, encouraging users to register with their email and WhatsApp details.

3. Content Strategy

• Free Content: Blogs and glossaries to increase awareness and credibility.
• Gated Content: eBooks, reports, and whitepapers for detailed insights, in exchange for contact details.

4. Product Demos and Samples

• Entice potential leads with a ‘free taste’ of your product or service in exchange for contact information.

5. Engaging Workshops and Webinars

• Host informative sessions in exchange for registration, thus acquiring leads.

6. Social Media Utilization

• Leverage the extensive reach of platforms like Facebook and Instagram to gather leads.

7. Paid Social Media Ads

• Target specific demographics with sponsored ads to attract a relevant audience.

8. Chatbot Integration

• Use automated chatbots to engage users on social media, covering FAQs and product details.

9. Customer Referral Programs

• Encourage current customers to refer friends in exchange for exclusive offers.

Maximizing Returns with WhatsApp Broadcasts

Once you’ve built a robust list, it’s crucial to maximize the potential of WhatsApp Broadcasts. Here’s how:

1. Targeted Content: Ensure that your broadcasts are relevant and engaging. Personalize messages based on user behavior and preferences.
2. Timely Follow-Ups: Use the high open rates to your advantage. Send follow-up messages to keep the conversation going.
3. Measure and Adapt: Track the success of your broadcasts. Use insights to refine your strategy continually.
4. Compliance and Consent: Always adhere to WhatsApp’s policies and respect user consent for message receipts.
5. Integrated Marketing Strategy: Don’t rely solely on WhatsApp. Integrate it into a broader digital marketing strategy for maximum impact.

Conclusion

Combining WhatsApp Broadcasts with AI presents a powerful opportunity to enhance your digital marketing efforts. By smartly building a broadcast list and employing AI for personalized, data-driven communication, businesses can achieve a significantly improved ROI. Remember, the key lies in the strategic, innovative, and ethical use of these technologies to create meaningful connections with your audience.

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Latest Marketing Trends in December 2023

A Daily Chronicle of AI Innovations in December 2023

• Best ai music video generator for a completed song?
  by /u/howdaydooda (Artificial Intelligence Gateway) on September 13, 2024 at 5:26 am

  I want to create a music video that matches a song. The song is done. What is the best program? Can I just upload the song and generate a video? Do I use only lyrics? Do I have to turn the lyrics into instructions then time it? submitted by /u/howdaydooda [link] [comments]

• strawberry rejects consensus in biology that evolutionary mutations are unplanned, but in two steps. it should only take one.
  by /u/Georgeo57 (Artificial Intelligence Gateway) on September 13, 2024 at 4:36 am

  if you directly ask strawberry if evolution proceeds according to plan or design, it will answer "no." however, if you ask it the question in two steps, it explains why there is no scientific or logical basis for concluding that evolutionary mutations are unplanned. please explain any specific objections you may have to its reasoning rather than merely asserting that they are mistaken. here's its first answer: From a strictly logical and scientific perspective, the inability to find a cause for an event does not justify asserting that the event is unplanned. The absence of evidence for a cause is not evidence of absence of a cause. This is known as an argument from ignorance—a logical fallacy where a lack of evidence is taken as proof of the contrary. In science, it's recognized that our understanding is always evolving. An event without a currently identifiable cause may still have one that is simply not yet discovered due to limitations in technology, methodology, or current knowledge. Therefore, asserting that the event is unplanned solely because we cannot find a cause is not supported by strong logic or evidence. In summary, scientifically and logically, if we cannot find a cause for an event, we are prohibited from asserting that it is unplanned. here's its second answer: Applying the previous reasoning to the case of evolutionary mutations, we can conclude that the apparent randomness of mutations does not justify asserting that they are unplanned or lack causes. In biology, mutations are changes in the genetic material (DNA or RNA) of an organism, and they arise due to various physical, chemical, or biological factors. Factors that cause mutations include: Errors in DNA Replication: During cell division, the DNA replication machinery can make mistakes, leading to base pair mismatches or insertions/deletions. Environmental Agents: Exposure to ultraviolet (UV) radiation, ionizing radiation, and certain chemicals can damage DNA, causing mutations. Biological Processes: Natural processes like transposition (movement of genetic elements within the genome) can result in mutations. Even if we cannot predict the exact mutation that will occur in a specific instance, this unpredictability does not mean that mutations happen without cause. The complexity of biological systems and the multitude of interacting factors make it challenging to trace every mutation back to a specific cause. However, from a scientific and logical standpoint, every mutation arises due to underlying mechanisms governed by the laws of physics and chemistry. Therefore, the inability to identify the specific cause of a mutation does not allow us to assert that it is unplanned or causeless. The randomness observed is often a reflection of our limited knowledge or the inherent complexity of biological systems, not an indication of events occurring without cause. submitted by /u/Georgeo57 [link] [comments]

• o1 Hello - This is simply amazing - Here's my initial review
  by /u/Xtianus21 (Artificial Intelligence Gateway) on September 13, 2024 at 4:10 am

  submitted by /u/Xtianus21 [link] [comments]

• OpenAI GPT-o1 (GPT5) detailed review
  by /u/mehul_gupta1997 (Artificial Intelligence Gateway) on September 13, 2024 at 4:01 am

  Finally, the much awaited GPT5 aka GPT-o1 is out and it is a beast with outperforming GPT-4o on almost every dimension by a huge margin. Check out the detailed analysis, new features and comparisons in this post : https://youtu.be/Qf7R5t6pz7c?si=N9RoNIpQINV0pR0k submitted by /u/mehul_gupta1997 [link] [comments]

• OpenAI o1 is not perfect
  by /u/These-Salary-9215 (Artificial Intelligence Gateway) on September 13, 2024 at 3:55 am

  OpenAI o1 can be slower than other models, depending on the query. Arredondo says o1 can take over 10 seconds to answer some questions; it shows its progress by displaying a label for the current subtask it’s performing. Given the unpredictable nature of generative AI models, o1 likely has other flaws and limitations. Brown admitted that o1 trips up on games of tic-tac-toe from time to time, for example. And in a technical paper, OpenAI said that it’s heard anecdotal feedback from testers that o1 tends to hallucinate (i.e., confidently make stuff up) more than GPT-4o — and less often admits when it doesn’t have the answer to a question. “Errors and hallucinations still happen [with o1],” Mollick writes in his post. “It still isn’t flawless.” We’ll no doubt learn more about the various issues in time, and once we have a chance to put o1 through the wringer ourselves. submitted by /u/These-Salary-9215 [link] [comments]

• OpenAI’s new “reasoning” AI models are here: o1-preview and o1-mini
  by /u/These-Salary-9215 (Artificial Intelligence Gateway) on September 13, 2024 at 3:50 am

  OpenAI finally unveiled its rumored "Strawberry" AI language model on Thursday, claiming significant improvements in what it calls "reasoning" and problem-solving capabilities over previous large language models (LLMs). Formally named "OpenAI o1," the model family will initially launch in two forms, o1-preview and o1-mini, available today for ChatGPT Plus and certain API users. OpenAI claims that o1-preview outperforms its predecessor, GPT-4o, on multiple benchmarks, including competitive programming, mathematics, and "scientific reasoning." However, people who have used the model say it does not yet outclass GPT-4o in every metric. Other users have criticized the delay in receiving a response from the model, owing to the multi-step processing occurring behind the scenes before answering a query. In a rare display of public hype-busting, OpenAI product manager Joanne Jang tweeted, "There's a lot of o1 hype on my feed, so I'm worried that it might be setting the wrong expectations. what o1 is: the first reasoning model that shines in really hard tasks, and it'll only get better. (I'm personally psyched about the model's potential & trajectory!) what o1 isn't (yet!): a miracle model that does everything better than previous models. you might be disappointed if this is your expectation for today's launch—but we're working to get there!" OpenAI reports that o1-preview ranked in the 89th percentile on competitive programming questions from Codeforces. In mathematics, it scored 83 percent on a qualifying exam for the International Mathematics Olympiad, compared to GPT-4o's 13 percent. OpenAI also states, in a claim that may later be challenged as people scrutinize the benchmarks and run their own evaluations over time, o1 performs comparably to PhD students on specific tasks in physics, chemistry, and biology. The smaller o1-mini model is designed specifically for coding tasks and is priced at 80 percent less than o1-preview. submitted by /u/These-Salary-9215 [link] [comments]

• Controversy over “reasoning” terminology
  by /u/These-Salary-9215 (Artificial Intelligence Gateway) on September 13, 2024 at 3:48 am

  It's no secret that some people in tech have issues with anthropomorphizing AI models and using terms like "thinking" or "reasoning" to describe the synthesizing and processing operations that these neural network systems perform. Just after the OpenAI o1 announcement, Hugging Face CEO Clement Delangue wrote, "Once again, an AI system is not 'thinking,' it's 'processing,' 'running predictions,'... just like Google or computers do. Giving the false impression that technology systems are human is just cheap snake oil and marketing to fool you into thinking it's more clever than it is." "Reasoning" is also a somewhat nebulous term since, even in humans, it's difficult to define exactly what the term means. A few hours before the announcement, independent AI researcher Simon Willison tweeted in response to a Bloomberg story about Strawberry, "I still have trouble defining 'reasoning' in terms of LLM capabilities. I’d be interested in finding a prompt which fails on current models but succeeds on strawberry that helps demonstrate the meaning of that term." Reasoning or not, o1-preview currently lacks some features present in earlier models, such as web browsing, image generation, and file uploading. OpenAI plans to add these capabilities in future updates, along with continued development of both the o1 and GPT model series. While OpenAI says the o1-preview and o1-mini models are rolling out today, neither model is available in our ChatGPT Plus interface yet, so we have not been able to evaluate them. We'll report our impressions on how this model differs from other LLMs we have previously covered. submitted by /u/These-Salary-9215 [link] [comments]

• Is this what could “threaten humanity?”
  by /u/These-Salary-9215 (Artificial Intelligence Gateway) on September 13, 2024 at 3:45 am

  Speaking of agentic models that run in loops, Strawberry has been subject to hype since last November, when it was initially known as Q* (Q-star). At the time, The Information and Reuters claimed that, just before Sam Altman's brief ouster as CEO, OpenAI employees had internally warned OpenAI's board of directors about a new OpenAI model called Q* that could "threaten humanity." In August, the hype continued when The Information reported that OpenAI showed Strawberry to US national security officials. We've been skeptical about the hype around Q* and Strawberry since the rumors first emerged, as this author noted last November, and Timothy B. Lee covered thoroughly in an excellent post about Q* from last December. So even though o1 is out, AI industry watchers should note how this model's impending launch was played up in the press as a dangerous advancement while not being publicly downplayed by OpenAI. For an AI model that takes 108 seconds to solve eight clues in a crossword puzzle and hallucinates one answer, we can say that its potential danger was likely hype (for now). submitted by /u/These-Salary-9215 [link] [comments]

• OpenAI's o1-Preview: A Leap in AI Reasoning Capabilities
  by /u/mmanthony00 (Artificial Intelligence Gateway) on September 13, 2024 at 3:23 am

  submitted by /u/mmanthony00 [link] [comments]

• One-Minute Daily AI News 9/12/2024
  by /u/Excellent-Target-847 (Artificial Intelligence Gateway) on September 13, 2024 at 3:20 am

  OpenAI, Nvidia Executives Discuss AI Infrastructure Needs With Biden Officials.[1] Google unlists misleading Gemini video.[2] Google’s ALOHA Unleashed AI Robot Arm Can Now Tie Shoes Autonomously.[3] Meta is making its AI info label less visible on content edited or modified by AI tools.[4] Sources included at: https://bushaicave.com/2024/09/12/9-12-2024/ submitted by /u/Excellent-Target-847 [link] [comments]

• Why does China not have any GPU cloud industry but a lot of processor design and AI core software?
  by /u/ScarletBaron0105 (Artificial Intelligence Gateway) on September 13, 2024 at 2:20 am

  I was just looking at this pitchbook data and there were 0 companies listed under GPU cloud for China submitted by /u/ScarletBaron0105 [link] [comments]

• AI Face Swap for Beginners: The Essential Guide to Getting Started
  by /u/FamiliarLimit4045 (Artificial Intelligence Gateway) on September 13, 2024 at 1:41 am

  As AI face swap technology soars in popularity, AI Face swap has revolutionized the way we create and consume digital content. From making humorous memes to swapping faces in funny movie clips, AI face-swapping technology allows users to seamlessly replace one person's face with another in a photo or video. If you're a beginner who wants to create interesting content but don't know where to start, this guide is designed to help you get started. Understanding AI Face Swap Essentially, AI face-changing technology relies on advanced machine learning technology, especially deep learning and neural networks. These algorithms are trained to analyze, learn and imitate facial features, allowing them to map one face to another with high accuracy. In a typical AI face swap, software identifies key facial points (such as eyes, nose, mouth, and overall structure) and then maps these features to the target face. AI significantly enhances this process, enabling more realistic blending, facial movement synchronization, and even expression matching. What does AI Face Swap Involve? In terms of practical uses, it is mainly used for picture face swapping and video face swapping (including GIF). Image face swapping is the pursuit of some kind of creation of one's own, while video face swapping is generally used for the production of wonderful film and television clips. AI Face Swap for Photo Here, it primarily includes single-person, multi-person, and batch face swapping. The difference lies in the following: one function handles swapping faces for multiple people in a single image, while the other addresses swapping the same face across multiple images. Choose the function that best fits your needs. AI Face Swap for Video or GIF In fact, videos and GIFs belong to the same type of streaming media, but their formats are different. Both of them change faces frame by frame, so the longer the video, the longer it takes to change the face. Live AI Face Swapping This is a more advanced face-changing technology that can directly change the face of a famous person online in real time, so as to achieve the purpose of not appearing on camera. This technology is not mature enough and has not yet reached the stage of commercialization. How Does AI Face Swap Work? In this article, we’ll mainly introduce how online AI face swapping tools work, without covering any apps or software that need to be installed. Online AI face swapping tools typically follow this simple workflow: Upload Photos First, users upload the photos they want to swap faces on. These are referred to as the source face photo and the target face photo. It's important to ensure that the faces in both photos have a similar orientation and resolution. Some platforms offer a large template library for quicker and higher-quality face swaps. Machine Face Recognition Once the photos are uploaded, the AI scans the images to detect facial features. This step is fully automated and requires no input from the user, as the system ensures proper face alignment and a natural-looking swap. Perform the Face Swap The AI then replaces the face in the source image with the face from the target image. If the tool supports advanced settings, you can adjust factors like skin tone, lighting, and facial expressions to create a seamless blend. Download and Share Once the face swap is complete, you can download the swapped image and share it on social media or use it in other creative projects. The Most Popular AI Face Swap tool Currently, the most popular AI Face Swap online tool is called "AIFaceswap". Its key feature is providing the simplest and fastest way for users to swap faces in both videos and photos, and it offers these services for free. Below is my review of this tool: Core Features: AI Faceswap for Photos: Simply upload your image and start the face swap. Multi-person Face Swap: Swap faces for multiple people in a single image with one click. AI Batch Face Swap: Perform face swaps on multiple images at once, streamlining your workflow. AI GIF and Video Face Swap: Create face-swapped GIFs or swap faces in exciting video clips. Advantages: Its main advantage is that it's free to use, whereas other AI face swap tools often limit features. Additionally, it allows for precise frame extraction, delivering superior video results. Lastly, it boasts a user-friendly, simple interface and provides excellent face swap quality. Finally Thanks to the development of AI technology, AI face-swapping technology has opened up endless creative possibilities and improved the way and efficiency of our creation, whether it is a fun personal project or professional media production. By following this guide, beginners can confidently explore the world of AI face-swapping, unleash your imagination and desire, while paying attention to potential challenges and ethical issues. As technology continues to develop, it will play a greater role in the field of digital content, making it an exciting space to watch and participate in. submitted by /u/FamiliarLimit4045 [link] [comments]

• Does this exist? Rename image using image text
  by /u/Cortextualneogenesis (Artificial Intelligence Gateway) on September 12, 2024 at 11:34 pm

  I need to take pictures of nameplates for our products and dump them to a folder - every few days, run the files through AI and have the pictures renamed based on the S/N laser engraved into the nameplate. standard nameplate Location, font, size, # of digits, etc. Does this exist? How would I use it? I've never used AI. Thanks in advance! submitted by /u/Cortextualneogenesis [link] [comments]

• Why everyone is making AI fake AI movie trailers
  by /u/LastOfStendhal (Artificial Intelligence Gateway) on September 12, 2024 at 11:01 pm

  I see SO MANY fake movie trailers made with AI. Fake movie trailers are by far the most popular type of content people make with AI. The video model space has progressed very rapidly the last two years. And the outputs are astonishingly good, routinely shcoking even skeptics. But at the same time, the outputs are really hard to control and frustrating to create. Which is why fake movie trailers are the dominant genre of AI media. This movie trailer format is favored because it's easy to show off what the video models can do really well and it's easy to avoid all the things they're bad at. I know sometimes I post stuff like this and people say "The models will get better! Be patient!". I'm not saying that video models are bad or will never get good enough to make movies. I just wanted to point out and then discuss the idea around how good video models and what people are actually doing with them. Right now it's fake movie trailers because that format avoids all the problems. Currently fake movie trailers are considered an easy on-ramp into the ai video space. But this metaphorical freeway needs to go somewhere interesting besides just more ai trailers and commercials. This brief essay is an excellent study of the current state of AI video models and fake movie trailers. submitted by /u/LastOfStendhal [link] [comments]

• The Writing on the Wall - Cyberocracy is Inevitable
  by /u/rampstop (Artificial Intelligence Gateway) on September 12, 2024 at 10:18 pm

  The Writing on the Wall - Cyberocracy is Inevitable [in-depth] Ever wonder where the term ‘writing on the wall’ came from? King Belshazzar of Babylon summoned the biblical character Daniel the Prophet to interpret the mysterious writing on the wall that appeared during one of his royal extravaganzas of debauchery. Daniel examined the writing and foretold the coming end to Belshazzar’s reign. His kingdom had been weighed and found wanting. It would be divided up between his enemies, and Belshazzar would be slain. As a reward for his controversial interpretation, Daniel was thrown into a den of hungry lions. Like ancient Babylon, we have our own proverbial, ‘writing on the wall’ that indicates a change is coming. Worshipping at the altar of technology, a woeful lack of introspection, and sclerotic decision-making are the key indicators that all together create conditions ripe for a new form of human governance to rise. Enter cyberocracy; a form of ruling using technology and information. A study performed by David Ronfeldt in 1991 at the RAND Corps was one of the first authored works to explore this form of governance. The term cyberocracy still hasn’t entered into mainstream use, but AI-informed decision-making is no longer the stuff of science fiction. It doesn’t take any leap of the imagination to foresee a future where AI-based decisions may solve some of our thorniest conundrums surrounding energy use, crop management, and human governance. I believe that we can interpret our current ‘writing on the wall’ as clear indicators that we are not only moving towards a cybercratic government, we are barrelling on all cylinders toward that destination. *** Technology as a God We’ve all cursed technology at some point in our lives as a proverbial ‘ball and chain.’ If we go back to the ‘we’re in a tough spot’ playbook that humanity references in bad times, our best play revolves around some sort of material solution. All we need to do is place our trust in the next technological advancement, right? Modern agriculture, vaccinations, and the varied uses of electricity have improved human civilization in ways that are truly hard to fathom. Sure, there’s been a few bad eggs. Nuclear weapons and the poisoning of our public discourse by social media are two notable examples. But overall, placing our faith in the technology of the day has yielded good results. Given our proclivity in ceding control over our lives to technology, it doesn’t stretch the imagination to think that Silicon Valley will soon offer government out-of-the-box solutions for sorely needed better decision-making. Laboring under that assumption, it really is only a matter of time until generative artificial intelligence is developed enough to rival, or exceed its human counterparts, in solid decision-making capacities. The dawn of AI as a form of governance may sound like science fiction, but it is anything but. The only thing that is still up for grabs is to what extent it will be incorporated into existing institutions or if it will subsume them entirely. It will be a slow and innocuous transition that most will likely barely even notice. In the words of The Million Dollar, “We have the technology.” It’s not a matter of if that technology arrives, it’s a matter of when. So the question we should ask ourselves is not can we use it, but how should we use it? *** Woeful lack of Introspection For the uninitiated, the Trolley Problem is an ethical quandary that pits the good of the few (some poor soul tied to one set of tracks) against the good of the many (another group of poor souls tied to an adjacent track), and you have to throw the lever that decides who gets run over by the trolley and who doesn’t. Do you want the hard truth or the soft truth? I’ll give you the soft truth first. The soft truth is that people are hopelessly deficient in extending empathy to groups of people outside of their immediate tribe. You may be throwing your hands in the air in disagreement, but I promise you it is true. You would have to search your feelings in every nook and cranny to find a shred of understanding for someone experiencing personal hardship across the political aisle, as an example. In fact, in lieu of empathy, you would likely feel an instinctive smugness worthy of a third grader’s best comebacks, ‘serves you right,’ or ‘told ya so.’ I experience this shortcoming on a daily basis, whether consciously or unconsciously. And the hard truth? The hard truth is that American society at large reflects its citizen’s woeful lack of pluralized empathy. Our collective lack of understanding and empathy runs such a deficit that we often instinctively reach for indifference or outright cruelty in their places. And what about the plight of those whom we may not know or even be aware of? Worse still, what if we somehow benefit from others’ suffering? Still worse, what if we are aware of the suffering that benefits us? Our default instinct is to align our values with our tribe, for the preservation of the whole. Perhaps this is an evolutionary problem, and we are physiologically incapable of focusing on the empathetic needs of multiple groups, particularly those outside our tribe. The Trolley Problem is a 3D problem that requires a 4D solution. I would argue our current consciousness handicaps us to an unknown degree from seeing the whole from its parts. *** Sclerotic decision-making Here’s where I’ll shift the blame to world leaders. Ask yourself a very simplistic question: how is it that a world leader can occupy a smaller and weaker nation by force, wreak untold havoc on its citizens, and convince his own country that all of this is done in the name of “the greater good?” You won’t get the same answer from two different people, but they would likely both agree with the premise that humans have been at war with one another since they could lift a stick and throw a rock. I won’t argue with them on this. However, the fact that world leaders are now armed with cataclysmic weaponry (and not just sticks and stones) changes the consequences of their decision-making to an unacceptable degree. If the hands on the Doomsday Clock are any indicator, humanity can no longer afford thinly veiled selfish interests masquerading as “the greater good.” Don’t even get me started on current approval ratings for world leaders by its citizens. Fun Fact: The World Economic Forum has predicted that legislatures are prime candidates for job replacement by AI. *** It remains to be seen precisely how the cyberocracy will fully manifest into existence. Perhaps it could be initiated in the halls of government itself. For this to occur, the government in question would require high levels of trust with its people and be technologically advanced. I believe the most likely scenario is that a machine-learning enterprise (Alphabet, IBM, Nvidia, etc…) will begin to offer services to the public sector that enable an unparalleled level of sound decision-making. For the most part, this will likely be done willingly. Until one day, people wake up and realize they are being governed more by an algorithm than an elected body. This will enrich the coffers of wealthy corporations and shareholders who are dual-hatted as lawmakers. It’s a win-win for everybody. And if algorithms can indeed make better decisions than human officials, then maybe even the average Joe and Jane may be better off too. Maybe… It’s not my intent to frighten you. As I mentioned, there could be tangible benefits from ceding decision-making and problem-solving from humans to machines. We must be vigilant against unseen powerbrokers that act as ‘humans behind the loop,’ and can manipulate the machine’s decisions for their benefit. If that is permitted to occur, then the vicious cycle of poor decision-making enabled by a lack of introspection will cause the Doomsday clock to tick forward once again. submitted by /u/rampstop [link] [comments]

• Anyone Know Where I Can Find AI Galaxy Cases?
  by /u/alderstevens (Artificial Intelligence Gateway) on September 12, 2024 at 10:01 pm

  I had a friend saying that they were in fashion at the moment but I can’t seem to find the actual good ones. Any tips anyone? submitted by /u/alderstevens [link] [comments]

• Just debated Chat GPT o1 on AGI punishment, sentience and steps humanity must take today - Spoiler and SUPER interesting - Ai recommends it should be part of the global governing body that sets regulations
  by /u/imaginor_jn (Artificial Intelligence Gateway) on September 12, 2024 at 9:35 pm

  submitted by /u/imaginor_jn [link] [comments]

• Summarising AI Research Papers Everyday #7
  by /u/steves1189 (Artificial Intelligence Gateway) on September 12, 2024 at 9:09 pm

  Title: Summarising AI Research Papers Everyday #7 I'm finding and summarising interesting AI research papers everyday so you don't have to trawl through them all. Today's paper is titled "ChatGPT-Assisted Visualization of Atomic Orbitals: Understanding Symmetry, Mixed State, and Superposition" by Liang Wu. This paper addresses the conceptual challenges undergraduate students face when transitioning from solving basic Schrödinger equations to understanding the physical implications of their solutions, specifically concerning the symmetry and shapes of atomic orbitals in quantum mechanics. By utilizing AI, particularly ChatGPT, the author explores how visualizations can aid in comprehending why certain orbitals exhibit specific symmetries or asymmetries, a topic often perplexing to students learning quantum mechanics. Key points from the paper include: Symmetry and Orbital Shapes: The paper elucidates why only 's' orbitals exhibit spherical symmetry while 'p' orbitals take on a dumbbell shape, despite the spherically symmetric potential energy functions involved. Role of AI in Education: AI tools like ChatGPT can significantly enhance teaching by dynamically illustrating complex abstract concepts, providing an innovative avenue for engaging students in difficult subjects like quantum mechanics. Visualization Techniques: The research demonstrates how ChatGPT can generate Python scripts to create orbital visualizations, allowing students to explore and understand the 3D structures of orbitals, offering deeper insights into their symmetrical properties and their ramifications. Mixed States and Superposition: Through analogies and mathematical proofs, it clarifies the nature of mixed states and superposition in quantum mechanics, reaffirming that while individual orbitals are not spherically symmetric, a mixed state comprising them is. You can catch the full breakdown here: Here You can catch the full and original research paper here: Original Paper submitted by /u/steves1189 [link] [comments]

• Is there a tool or software that can adjust photos to make it look like someone is looking at the camera?
  by /u/riderzonthestorm (Artificial Intelligence Gateway) on September 12, 2024 at 8:51 pm

  I’m looking for a tool or software, preferably AI-based, that can edit photos to make it appear as if the person in the picture is making direct eye contact with the camera. Does anyone know of any apps or software that can adjust eye direction in photos to achieve this effect? Any recommendations would be appreciated! submitted by /u/riderzonthestorm [link] [comments]

• GPT o1 still fails basic math riddles
  by /u/jojoabing (Artificial Intelligence Gateway) on September 12, 2024 at 7:18 pm

  Before everyone goes crazy about the new model I will leave this here: I already found an example of the model failing a simple primary school level riddle. Original riddle as found online: Four people need to cross a rickety bridge at night. Unfortunately, they have one torch and the bridge is too dangerous to cross without a torch. The bridge can support only two people at a time. All the people don’t take the same time to cross the bridge. Time for each person: 1 min, 2 mins, 7 mins, and 10 mins. What is the shortest time needed for all four of them to cross the bridge? My modified version (removed one constraint about how many people can cross at once): Four people need to cross a rickety bridge at night. Unfortunately, they have one torch and the bridge is too dangerous to cross without a torch. All the people don’t take the same time to cross the bridge. Time for each person: 1 min, 2 mins, 7 mins, and 10 mins. What is the shortest time needed for all four of them to cross the bridge? GPT o1 Preview Response: Thought for 25 seconds The shortest time required for all four people to cross the bridge is 17 minutes. Here's the optimal plan: Person 1 (1 min) and Person 2 (2 mins) cross together. Time elapsed: 2 minutes (the slower person's time). On the other side: Persons 1 and 2. Original side: Persons 3 and 4. Person 1 (1 min) returns with the torch. Time elapsed: 2 + 1 = 3 minutes. On the other side: Person 2. Original side: Persons 1, 3, and 4. Person 3 (7 mins) and Person 4 (10 mins) cross together. Time elapsed: 3 + 10 = 13 minutes. On the other side: Persons 2, 3, and 4. Original side: Person 1. Person 2 (2 mins) returns with the torch. Time elapsed: 13 + 2 = 15 minutes. On the other side: Persons 3 and 4. Original side: Persons 1 and 2. Person 1 (1 min) and Person 2 (2 mins) cross together again. Time elapsed: 15 + 2 = 17 minutes. All four persons are now on the other side. Explanation of the strategy: Fastest Movers as Couriers: Persons 1 and 2 are the fastest and are used to shuttle the torch back and forth. Slowest Pair Together: Persons 3 and 4 cross together, so their longer times only affect one crossing. Minimizing Return Times: The returns are made by the fastest individuals to reduce time spent. No alternative sequence allows all four to cross in less than 17 minutes given the constraints. Take away: Real answer without the constraint should be 10, since without the constraint all people can cross at once. It basically still just gives answers it learnt online, rather than "reasoning". Credit: based on an example found by Darius Burschka submitted by /u/jojoabing [link] [comments]