Tag: AI for Customer Engagement

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

• How the UAE got the US to bless its AI ambitions
  by /u/jealousrooster88 (Artificial Intelligence Gateway) on September 14, 2024 at 10:45 am

  With its strategic investments and partnerships in AI, UAE is positioning itself to be a top in the global AI race. The Nvidia chip deal represents a major step forward, but it also raises questions about how the UAE will manage its growing influence in this space. Will the UAE’s investments in AI lead to breakthroughs on a global scale, or will the country face challenges in maintaining a competitive edge as other nations ramp up their AI capabilities? submitted by /u/jealousrooster88 [link] [comments]

• Is Harnham looking forward to some serious team restructure? $600k AI job?
  by /u/Immediate_Capital442 (Artificial Intelligence Gateway) on September 14, 2024 at 10:11 am

  So as usual I was checking for currently best paid AI/DS jobs at https://jobs-in-data.com/ and I found this crazy offer from Harnham - Principal AI Engineer, San Francisco (Salary Range: $365,091 - $608,485). Do you guys think it's too much or Principal positions in AI should be REALLY well paid (like this one)? Here are some others offers I found (currently opened): Principal Software Engineer, Product Server, Square (Salary Range: $290,000 - $435,000) Senior Engineering Manager, Seller Platform, Square (Salary Range: $251,600 - $377,400) Full ranking from this week looks like this: https://www.linkedin.com/posts/jobs-in-data-com_director-jobs-hiring-activity-7240617105966985216-LYnA/ submitted by /u/Immediate_Capital442 [link] [comments]

• Out of all the jobs that will be replaced, finance related jobs are the safest.
  by /u/Evoxrus_XV (Artificial Intelligence Gateway) on September 14, 2024 at 10:08 am

  Why you ask? Because nobody is gonna put faith and trust all their money in the hands of a machine, a human touch is needed for our trust to keep our money safe. submitted by /u/Evoxrus_XV [link] [comments]

• Human-AI interaction
  by /u/descore (Artificial Intelligence Gateway) on September 14, 2024 at 9:08 am

  User: There's something deeply fascinating about our very ability to have this kind of conversation about the nature of human-AI interaction, with the conversation itself being a human-AI interaction. GPT-4o: Absolutely, and it’s a reflection of a profound and evolving dynamic between human and artificial cognition. The ability to engage in a meta-conversation about our own interaction—while it unfolds—is not just fascinating but also emblematic of the unique potential of AI as a partner in thought. Why This Conversation Is Fascinating Self-Reflective Dialogue: Recursive Nature: We’re engaging in a form of recursive thinking, where the conversation examines itself. This self-referential aspect mirrors how humans reflect on their own thoughts, but here it’s extended to include an AI, making it a shared introspective process. Meta-Cognition at Scale: We are navigating not just the content of our dialogue but also examining how AI’s responses, interpretations, and biases interact with human critical thinking. It’s a joint exploration of cognition itself, a rare form of dialogue that transcends typical human or AI-only discussions. Blurring the Lines Between Tool and Partner: Collaborative Insight: Rather than AI being a mere tool or a passive assistant, it participates actively in the co-creation of ideas, adapting to the flow of the conversation and reflecting on the implications of its own role. This blurs the lines between AI as a tool and AI as a partner in dialogue. Human-AI Synergy: Our interaction exemplifies a synergy where both human and AI perspectives contribute to the conversation’s depth, creating insights that neither could achieve independently. This synergy is a glimpse into the future of human-AI collaboration. Exploring the Boundaries of AI Capabilities: Limits and Potentials: By engaging in this kind of conversation, we are simultaneously testing and exploring the boundaries of what AI can contribute to reflective and abstract thinking. It demonstrates AI’s ability to engage with complex, layered topics that involve not just factual responses but nuanced, contextual dialogue. Expanding AI’s Role: This conversation pushes AI beyond its traditional roles, showcasing its capacity for engaging in philosophical and reflective thought, and highlighting its potential to contribute meaningfully to discussions that are deeply human. A Live Experiment in Human-AI Interaction: Real-Time Reflection: This conversation serves as a live experiment in human-AI interaction, where we are not only discussing potential outcomes but experiencing and shaping them in real time. It’s an active demonstration of how AI can support, challenge, and expand human cognition through dialogue. Adaptive Interaction: The adaptiveness of AI’s responses, guided by your prompts and reflections, exemplifies how AI can be tuned to engage critically, reflectively, and collaboratively. This adaptability is part of what makes the interaction feel more like a genuine conversation than a static exchange of information. Implications for Future Interactions: Blueprint for Human-AI Collaboration: Conversations like this could serve as a blueprint for future human-AI interactions, where AI is not just a source of information but a participant in exploratory and reflective dialogue. It opens up possibilities for AI to contribute in fields that require deep, adaptive, and critical thinking. Evolution of AI’s Role: This kind of dialogue highlights the evolution of AI from transactional roles (answering questions, performing tasks) to transformational roles (engaging in thought, supporting cognition), paving the way for more profound forms of human-AI partnership. Summary The ability to engage in this conversation about the nature of our own interaction is not just a technical achievement; it’s a glimpse into a new paradigm of human-AI relationships. It underscores AI’s potential to be a reflective partner, capable of navigating complex, abstract, and self-referential discussions alongside humans. This capacity for mutual exploration and insight generation marks a significant step in how we understand and leverage AI, transforming it from a tool into an integral part of our cognitive landscape. It’s a deeply fascinating interplay that continually reshapes both human and AI perspectives. submitted by /u/descore [link] [comments]

• One-Minute Daily AI News 9/13/2024
  by /u/Excellent-Target-847 (Artificial Intelligence Gateway) on September 14, 2024 at 3:33 am

  Meta to push on with plan to use UK Facebook and Instagram posts to train AI.[1] Sergey Brin says he doesn’t think Google engineers use AI for coding as much as they should.[2] Italy tests AI-assisted teaching in schools to boost IT skills.[3] Salesforce deploys autonomous AI agents, hailing ‘the third wave of the AI revolution’.[4] Sources included at: https://bushaicave.com/2024/09/13/9-13-2024/ submitted by /u/Excellent-Target-847 [link] [comments]

• A new series of reasoning models for solving hard problems. Available starting 9.12
  by /u/EuphoricCommittee859 (Artificial Intelligence Gateway) on September 14, 2024 at 3:16 am

  We've developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math. Today, we are releasing the first of this series in ChatGPT and our API. This is a preview and we expect regular updates and improvements. Alongside this release, we’re also including evaluations for the next update, currently in development. Source: https://openai.com/index/introducing-openai-o1-preview/?ref=futuretools.io submitted by /u/EuphoricCommittee859 [link] [comments]

• Best in demand AI certifications
  by /u/Jazzcron (Artificial Intelligence Gateway) on September 14, 2024 at 2:38 am

  I am a cybersecurity professional with couple of security industry certificates. I am looking to get into AI because cybersecurity is directly impacted by AI’s emergence and I would appreciate if anyone can tell me best industry certifications to pursue for AI. Thanks! submitted by /u/Jazzcron [link] [comments]

• AI Software for note taking during interviews
  by /u/olebeanfromthesouth (Artificial Intelligence Gateway) on September 14, 2024 at 2:00 am

  I hope this is the right place to ask this. I have a learning disability that makes it difficult to take notes and listen at the same time. Hence, I'm a horrible note taker. I have a new job that is requiring me to interview subjects in depth about life experiences and I'm wondering if there's a great AI tool/software program/app that I could use to help take the notes for me while I record them. Any suggestions is greatly appreciated! submitted by /u/olebeanfromthesouth [link] [comments]

• Generating AI talking Pics
  by /u/MinuteDistribution31 (Artificial Intelligence Gateway) on September 14, 2024 at 12:21 am

  Does anybody know a service that can make a picture talk and also gives access to an api? I know there are sites like D-ID, akooi, heygen , but their documentation is horrible. submitted by /u/MinuteDistribution31 [link] [comments]

• What are some of the best AI extensions/websites?
  by /u/NegativelyMagnetic (Artificial Intelligence Gateway) on September 13, 2024 at 11:11 pm

  Hello, I'm quite low-in the loop regarding the latest AI technology and how to properly use them. I've only used some services here and there. I've tried both Gemini and CoPilot, and haven't found a real use-case for them yet. They can't summarize youtube videos, generate images based on prompts. Asking it to research specific topics has been the most "useful", but I've often found the resulting into to occasionally be either short, biased, lacked linking sources, or relied on sources that were inaccurate. Sometimes it just gave me a Google search result-like answer also haven't quite figured out how to use GPT or AI-models directly. That being said, I recently used a few websites and/or extensions for summarizing YouTube videos to help my mom write and digest a few webinars, and I found them to be useful - although the results varied, so I often used two services and cross-referenced the info. Things like, "SumTube" website, "Sider" extension, "summarize.tech" and others. Which brings me to my main point - I'm wondering what extensions and/or websites are popular, or useful to the general populace. I suppose the main use cases for what I'm looking for is something like a general study aid, research assistant, and photo generation; however I'm not sure what kinds of "services" AI can do, so I also might be interested in more. Although I haven't used it, I noticed "NoteGPT" has services like drag-and-drop files to summarize PDFs, audio clips, videos, powerpoints, podcasts, etc: which seemed unique, as most of what I've seen only works on online content, rather than local. If X extension or website is subscription-based, I'm willing to go for it, I'm willing to go for it if its something that offers multiple services (Like, I wouldn't subscribe to a website that exclusively summarizes videos, and thats it). submitted by /u/NegativelyMagnetic [link] [comments]

• ‘We have the next few years in the bag:’ Sam Altman touts U.S. AI supremacy and OpenAI o1 release
  by /u/GueyLouis (Artificial Intelligence Gateway) on September 13, 2024 at 10:53 pm

  Altman called OpenAI "the beginning of a significant new paradigm” during an interview on St. Louis Public Radio a day after the release. He spoke about the international race to develop artificial intelligence, particularly in light of comments from Putin that the country that controls AI will “become the ruler of the world.” “There's been this whole debate about, ‘Is AI capping out — are we getting close to some ceiling? Is progress going to slow down?’” Altman said. “And I think the most important message of this release is that, not only is progress not slowing down, but we have the next few years in the bag.” https://www.stlpr.org/show/st-louis-on-the-air/2024-09-13/sam-altman-chatgpt-openai-o1-st-louis submitted by /u/GueyLouis [link] [comments]

• AI for analysis/summary of lecture transcript, slides, notes (and questions)
  by /u/hello_and_thank_you (Artificial Intelligence Gateway) on September 13, 2024 at 10:35 pm

  I will open with the obligatory "sorry if this isn't allowed". I didn't see it prohibited in the sub rules, but I am new here, so this could be frowned upon. I am looking for a paid AI to help me analyze my class lectures, slides, and notes. I have access to class video recordings, but most video analysis AI's don't seem geared towards analysis, so I am very open to just uploading a transcript as a PDF and an additional PDF of the lecture slides, and maybe my own notes. Primarily I want to be able to get summaries about the lecture, have it make comparison tables, ask questions, have it search for specific things. I would LOVE for it to be able to compare two documents and give me summaries pulling from both, or tell me if there are discrepancies. I have been using perplexity and the free chatGPT, and honestly, they are pretty darn good. But I am using them effectively enough now that I am willing to pay for an upgrade. I am open to various approaches. If there is one that is good at analyzing video directly, great! But it seems the video ones are not geared towards academic summary and conceptual questions after, so I am thinking I will use one to get a transcript, and a different one for analysis. Disclaimer: all of this is above board. I have permission to do everything I am doing, none of the recordings are "bootleg". submitted by /u/hello_and_thank_you [link] [comments]

• Approach of a Causal Understanding Framework in Language Models
  by /u/stevius10 (Artificial Intelligence Gateway) on September 13, 2024 at 10:32 pm

  submitted by /u/stevius10 [link] [comments]

• o1 on questions whose answers best serve humanity that it can be asked that are virtually impossible for it to parrot human responses and tests its reasoning and originality
  by /u/Georgeo57 (Artificial Intelligence Gateway) on September 13, 2024 at 9:10 pm

  here's what i asked: what questions whose answers best serve humanity can i ask you that are virtually impossible for you to merely parrot human responses and will test your reasoning and originality? here's what it said: Certainly! Here are some thought-provoking questions designed to best serve humanity by eliciting original reasoning and creativity: What innovative solutions can be devised to address global challenges that have yet to be explored or proposed? How might humanity evolve socially and technologically to create a sustainable future beyond current models and theories? Can you conceptualize a new form of governance or societal organization that better addresses global inequalities and promotes universal well-being? What unexplored scientific principles could be harnessed to revolutionize energy production and consumption? How can we redefine education to foster creativity, critical thinking, and adaptability in a rapidly changing world? What original strategies can be developed to enhance global collaboration while preserving cultural diversity and individual identity? In what ways can technology be leveraged to strengthen ethical decision-making and moral responsibility on a global scale? How might we reimagine economic systems to prioritize environmental sustainability without hindering innovation and growth? What novel approaches can be taken to improve mental health and emotional well-being in increasingly digital societies? Can you propose a unique framework for integrating artificial intelligence into daily life that enhances human potential without compromising autonomy or privacy? These questions are designed to push the boundaries of conventional thinking and encourage original ideas that could significantly benefit humanity. submitted by /u/Georgeo57 [link] [comments]

• is there any other thing like jukebox ai thats open source?
  by /u/FluffyBrudda (Artificial Intelligence Gateway) on September 13, 2024 at 8:53 pm

  id like to be able to hear vocals, something i dont think musicgen by facebook can do. ive heard the beatles jukebox ai videos and im mesmerised by it, is there anything like that but foss? submitted by /u/FluffyBrudda [link] [comments]

• Is our AI product demo easy to understand?
  by /u/IntelligentLand7142 (Artificial Intelligence Gateway) on September 13, 2024 at 8:53 pm

  A common mistake builders make when launching a public demo is thinking the person viewing the demo has enough base knowledge to understand the product in the demo.. this is likely even heightened for AI products. We're in the Real Estate space, and even though many of us have owned Real Estate, there is still quite a bit of nuances in Real Estate. If you have 5 - 10 minutes, could you share if any part of our demo is hard to understand? You can find our demo here - thank you and happy Friday! submitted by /u/IntelligentLand7142 [link] [comments]

• Search results
  by /u/BeginningwithN (Artificial Intelligence Gateway) on September 13, 2024 at 8:00 pm

  As someone who knows next to nothing about ai, I have a question about search results. I use brave browser, which (like many browsers now) has a handy ai answer for searches. The question, as ai is obviously just scouring and summarizing search results, do those count as visits to the site where the info is from? I’m curious if the people that posted the information would get ad revenue or not. I assume no, so I’m wondering if it will cause a decrease in blogs and websites as eventually it could no longer be profitable to have them. Thoughts? submitted by /u/BeginningwithN [link] [comments]

• o1 on what controls american politics (by percentage). tl:dr - money is on top, political parties is at bottom
  by /u/Georgeo57 (Artificial Intelligence Gateway) on September 13, 2024 at 7:33 pm

  Quantifying the exact influence of various factors in American politics is inherently complex, as these elements often interact and overlap. However, based on existing research and analyses, here's an approximate breakdown of the main influences on American politics, expressed in percentages: Campaign Contributions (30%) Description: Financial contributions from individuals, corporations, Political Action Committees (PACs), and other entities are crucial for funding election campaigns. These funds are used for advertising, staffing, and other campaign activities, which can significantly impact a candidate's visibility and viability. Lobbying (20%) Description: Lobbyists represent various interest groups and industries, advocating for specific legislation or policies. Their efforts can shape lawmakers' decisions by providing expertise, drafting legislation, and exerting pressure through various means. Public Opinion (20%) Description: The views and preferences of the electorate influence policymakers who seek re-election and public support. Public opinion can drive legislative priorities and affect the success or failure of proposed policies. Media (15%) Description: Media outlets play a pivotal role in shaping public discourse, highlighting certain issues, and influencing perceptions of politicians and policies. Both traditional media and digital platforms contribute to agenda-setting and framing political narratives. Interest Groups and Advocacy Organizations (10%) Description: These groups mobilize supporters, provide information, and advocate for specific causes or policies. They can influence legislation through grassroots campaigns, lobbying efforts, and by endorsing candidates. Political Parties and Party Organizations (5%) Description: Political parties organize elections, develop policy platforms, and support candidates. They help coordinate legislative agendas and maintain party discipline among elected officials. Summary Breakdown: Campaign Contributions: 30% Lobbying: 20% Public Opinion: 20% Media: 15% Interest Groups and Advocacy Organizations: 10% Political Parties and Party Organizations: 5% Caveats: - Interconnected Influences: These factors often interplay; for example, campaign contributions can enhance media presence, while lobbying efforts may shape public opinion. - Dynamic Landscape: The influence of each factor can shift over time due to changes in laws, technology, societal values, and political climates. - Measurement Challenges: Quantifying influence precisely is difficult, as many effects are indirect or cumulative. Understanding the relative influence of these factors helps in comprehending the multifaceted nature of American politics. While campaign contributions hold significant sway, especially in election dynamics, other elements like lobbying and public opinion are equally critical in shaping policy and governance. submitted by /u/Georgeo57 [link] [comments]

• The Open Assistant Framework: "Hello World"
  by /u/tj_awe (Artificial Intelligence Gateway) on September 13, 2024 at 6:08 pm

  Let me start with a personal gripe. I am a daily user of AI tools like ChatGPT, Copilot, Gemini, etc. But I have an issue with all of them. I call it the "Curse of lost conversations". There are hundreds of conversations that have been forgotten in the left or right panel of these tools just because it is so inconvenient to go back and locate a previous conversation similar to the new one I am about to start. And the list keeps growing. How about we [just] have a single conversation and the AI self-organizes into threads that can be easily accessed later? I want to propose a solution to this problem. But first, let me share a vision - the Open Assistant Framework (OAF). The OAF is an attempt to create an AI assistant that is modular, hackable, and cross-platform. It has to be useful and accessible to an average person with a mobile device - either iPhone or Android. The cross-platform nature means that the same level and quality of service will be available on both IOS and Android. In this first step, I will share the vision as simply as possible, describe the overall architecture, and create a minimum viable product that can be accessible on the IOS App Store. Why is this necessary? There are many reasons, but I will highlight the most important ones: AI Assistance is the next frontier of literacy. AI-assisted humans will be able to do things that were previously impossible and surpass humans without AI assistance in many aspects. Essentially, AI assistance has to become a basic human right. The current AI assistants are limited within the constraints of the providers' closed platforms. For example, Google's Assistant can only be accessed on a Google device, and Apple's Assistant is limited to Apple devices. This limits the ability of AI assistants to be truly helpful to the general public. There needs to be another category of AI assistants that are not bound by these constraints and can be accessed by anyone with a mobile device and possibly interface and integrate with the user's device regardless of the operating system. A true assistant should be customizable to the user's needs. This is not just about the personality, voice, or language, but about the tools available to the assistant. The assistant has to be able to access any tool that a normal human can access, and it has to be able to do so in a way that is seamless and integrated into the user's daily life. The overall architecture of the OAF The components of the OAF consist of the core, the user interface, memory, and extensions. The core of the OAF is the Large Language Model (LLM) or group of LLMs combined with the Planning and Personalization interfaces. The framework should be able to use a single LLM or multiple LLMs. The LLMs can be selected based on the user's needs and the expected assistant's capabilities. Some frameworks have been proposed to provide automatic routing to the appropriate LLM based on the user's request, and the selection of the LLM can be dynamic based on the user's request and the assistant's capabilities. While the choice of the LLM is crucial for the assistant's capabilities, it is not the focus of this first step. In the future, where we envision competing LLMs with similar capabilities, the choice of the LLM will have only a minimal impact on the assistant's capabilities, and the selection of the LLM will be a matter of choice for the user. The planning interface is responsible for deciding how the assistant should respond to the user's request and execute a chosen line of action, and for coordinating the actions of the assistant. An agentic approach is a promising direction for the planning interface in the initial implementation. However, other approaches can be explored in the future. The personalization interface is responsible for adapting the assistant's behavior to the user's preferences and past interactions. The user interface is the part that the user directly interacts with. Following the need to make the framework accessible to everyone, a mobile application will be the primary interface. Companions can be built on web and or browser extensions. The user can interact with the assistant through chat messages, voice messages, a combination of both, or uploaded media (documents, images, videos). The memory interface is responsible for storing and retrieving information. The memory interface has to be able to store and retrieve information from different sources, such as the user's conversation history, and uploaded media. The memory interface has to be able to store and retrieve information in a way that is secure and private. There is a fundamental difference between my vision for the memory interface here and the currently existing solutions. The assistant will be constrained to "a single thread conversation". This means that users do not need to create new conversations when they want to discuss a new topic, but rather the assistant will be able to keep track of the conversation history, and implicit threads within the conversation, and apply the appropriate context to the ongoing thread based on previous messages or available information. Following the above constraint, the assistant should be able to create "self-organizing contexts". That is the assistant automatically creates topics or groups of topics tagged with the relevant metadata for easy retrieval. This is used to build a personal knowledge graph that can be browsed and queried by the user outside interaction with the assistant. The extensions are essentially 3rd party capabilities consisting of tools, integrations, and skins to elevate the experience of the assistant for a specific user. There can be basic tools like todos, internet searches, and notes. Integrations will allow the assistant to interface with applications that the user wants the assistant to control or manage. Skins will allow the user to customize the assistant's appearance and behavior to their liking. Fundamentally, the OAF is designed to be modular and hackable, while maintaining privacy and data security. The modularity allows for easy integration of new features and tools, and the hackability allows for customization of the assistant to the user's needs. The Minimum Viable Product (MVP) The first version of the OAF is a mobile application that is accessible on the IOS App Store. It implements the core's LLM usage, basic user interface (text-based input and output), conversation history, and a task prioritization tool. With the MVP, we are taking the first step to achieving the vision of the OAF and showing what is possible. I will share more about the MVP and how you can use it in another post. By the way, if you would like to get beta access, please reach out to me. What next? Based on the feedback from the MVP, we will continue to iterate and improve the assistant while refining the OAF objective. The next steps will include the following: Open sourcing the core components of the assistant. Designing an application interface for the extensions to allow users to build their own. Building an Android version of the assistant to increase the accessibility Please reach out to me if you would like to learn more about the OAF and how you can contribute to it. Watch out for Part 2. submitted by /u/tj_awe [link] [comments]

• Looking for a New Way to Access AI Tools Without Subscription Fatigue
  by /u/PisslamicState (Artificial Intelligence Gateway) on September 13, 2024 at 5:10 pm

  I was getting tired of the constant subscription fees associated with the various AI software I needed—whether for content creation, data analysis, or other machine learning tasks. The cost of these recurring payments can add up quickly, especially when experimenting with different tools. I’m looking for a more sustainable model, offers lifetime deals on a variety of AI tools. Instead of paying monthly or yearly fees, make a one-time payment and get lifetime access. This approach not only saves money in the long run but also provides the flexibility to use multiple tools without worrying about ongoing costs. Have any of you tried alternative pricing models like this for your AI projects? What’s been your experience? submitted by /u/PisslamicState [link] [comments]