What questions do you have about A.I. that you're too embarrassed to ask?

@claytonwalker That's a great question! Personally I think AI is a buzzword that's gonna fade eventually. I imagine it will be abstracted to the point where people don't really care or realize it's "AI". Instagram, TikTok, and FB recommendation algorithms are great examples of this

@claytonwalker I love this topic. First of all, a lot of AI builders will tell you we're not as far along as doom & gloom articles will have you believe. We still have to figure out really big issues in AI like context and emotional intelligence. I.e. People don't realize how complex we are and hard to replace! The A.I. is getting better and better but these are big problems to solve. I think an article on our psychological perception of AI and AI marketing is relevant, but also on an article by article basis I hope to separate fact from fiction and give people reasonable tips for how to succeed with AI.

@claytonwalker We are launching ChandlerAi 🙏.

@claytonwalker @yukioyama We are launching ChandlerAi 🙏.

@sarah_wright7 That's great

@dima_isakov this is a very valid point - it does make it easier to copy someones style. But where do we draw the line on this? It happens all the time in design already - all artists are inspired by other artists whether they realize it or not. Does this come down to an ethics issue of whether or not you credit the original artist? Recently Sarah Bahbah accused Selena Gomez’s team of out right stealing her ideas when shooting at the same location. Everyone has a different argument for where the line should be. we do not have the best system in place to protect individuals creations and AI definitely makes this easier to circumnavigate. I’m interested to see how laws change to adapt to the advancements in technology and protecting artists.

I also agreed.

@claytonwalker Yeah. This is a very complex issue that needs improvement for a long time. And it's not just AI, copyrights have been infringed before. But as you said, it's even easier now. I think if authors whose style is copied were compensated monetarily for each copy, it would make copying a bit more fair. There are other ways, but this one seems like the first.

@dima_isakov @claytonwalker Absolutely, it's a complex issue. Giving credit to original artists is crucial. We need better protections for creators in the age of AI. 🎨🤔

@dima_isakov Dima, you’ve brought up a really important point that many in the creative community are concerned about. The use of AI to generate works in the style of popular artists does raise significant ethical and legal questions, especially regarding copyrights and fair compensation. It’s true that AI can replicate artistic styles, and this often leads to concerns about intellectual property rights. The challenge is that our current legal frameworks often lag behind these rapid technological advancements. At StockLibrary.ai, while we rely on third-party AI services like Mid Journey, we emphasize using AI responsibly. We believe AI is a powerful tool that can speed up and enhance creative processes, but like any tool, it requires responsible use. Many creative works are inspired by existing styles and compositions. The difference with AI is the speed and precision with which it can learn and apply these influences, which sometimes makes it look like copyright infringement. Ultimately, it's up to the users to use AI ethically. We encourage our users to respect the original creators and to see AI-generated content as a way to enhance their creativity, not to copy or undermine the work of others. As for the future, the industry definitely needs to establish better protections for creators. This could mean stronger legal frameworks that account for AI-generated content, transparency about data sources and training methods, and encouraging a culture of crediting and compensating original creators. This is a complex issue, and it's great that we're having these discussions. By working together, we can find solutions that respect and protect the rights of artists while embracing the innovative potential of AI. Looking forward to hearing more thoughts on this topic and working towards a fairer system for all creators.

@carterparks taxes 😂

@carterparks I like this topic! I think it would be interesting to hear how answers might differ from product people to customer support to A.I. engineers.

@carterparks Great question, Carter! The line between tasks suitable for automation and those requiring a human touch often depends on the complexity and nuance of the task, as well as the potential for personal interaction and empathy. 1. Repetitive and Data-Driven Tasks: Tasks that are repetitive, data-driven, and rules-based are prime candidates for automation via APIs. These include data entry, basic customer queries, scheduling, and analytics. Automation here can save time and reduce errors. 2. Creative and Strategic Tasks: On the other hand, tasks that involve creativity, complex problem-solving, strategic decision-making, and personal interaction generally benefit from a human touch. These include content creation, strategic planning, and personalized customer support. 3. Hybrid Approach: Often, a hybrid approach works best. For example, in our work at StockLibrary.ai, we use AI to generate custom stock photos based on user inputs, but the final curation and creative direction involve human judgment. This blend of automation and human insight ensures both efficiency and quality. 4. Context Matters: The specific context and industry also play a significant role. For instance, in healthcare, automated systems can handle appointment scheduling and reminders, but diagnosis and patient care require human expertise and empathy. I’m curious to hear how others, especially those in different roles like product management, customer support, and AI engineering, navigate this balance. And @claytonwalker , automating taxes would indeed be a dream come true! 😂

@carterparks The line between tasks appropriate for automation via API and those needing a human touch can be drawn based on: Repetitiveness: Automate repetitive, rule-based tasks (e.g., data entry). Complexity and Nuance: Tasks requiring human judgment, creativity, and emotional intelligence should remain human-led (e.g., creative writing, complex decision-making). Quality and Context: Automate where consistency and speed are crucial, but retain human intervention where context and adaptability are essential (e.g., customer support). In summary, automate repetitive and rule-based tasks, and reserve tasks requiring judgment, creativity, and emotional intelligence for humans.

@carterparks I come with the perspective as a professional artist, so this question is a frequent point of discussion for me. The way i see it; the question is; do you care if it has a human touch? for example, you go to an art gallery and see a piece of art, do you care if it was created by a human? perhaps, because we feel a human connection. When you pick up a package of cornflakes or fruit loops do you really care if the artwork has been touched by a human? we're surrounded every day by artwork, from simple package designs to cars, clothing etc, how much do we really care about the human touch? or just that it visually looks appealing? Here's the thing about AI, while the concept is definitely abstract, it really understands by brute force, what visually works and looks appealing, so if thats the goal, then why not offset that to an automated system where speed and cost are more important than value? Design and art are two different things, design has a purpose, to generate money, art has a purpose; to express an idea or story. So how do you decide human over API? well, you just simply decide whats more important to you :)

@boris_moris44 This one here is a great place to start https://www.coursera.org/learn/a...

@boris_moris44 @koltsov We are launching ChandlerAi 🙏.

@sugar_free_app We are launching ChandlerAi.

@david_bowman1 can you provide more info on ChandlerAI?

@harsha_01 wish you good luck. Will share your link tomorrow to my linkedin. I will support.

@weiyuyang We are launching ChandlerAi 🙏.

@weiyuyang Hi Weiyu, That's a really interesting point you’ve brought up. AI’s potential to bring about equality is a complex issue. On one hand, AI can democratize access to powerful tools and resources that were previously only available to those with significant resources or expertise. This can help level the playing field in many ways. However, you’re right that simply having access to AI tools doesn’t automatically translate to generating valuable output. Original ideas and creativity are still crucial. AI can amplify and enhance these ideas, but it can’t replace the unique human spark that drives innovation. One way to look at it is that AI can be a great equalizer when it comes to access and efficiency. For example, at StockLibrary.ai, we provide users with the ability to generate high-quality custom stock photos. This gives everyone—from small business owners to large enterprises—access to professional-grade images without needing extensive resources. But you're correct that there’s a risk of widening the gap if AI tools are not used effectively. Education and support are key. By helping users understand how to best leverage AI tools and encouraging a culture of continuous learning and creativity, we can work towards narrowing this gap. In the end, AI is a tool that, when used thoughtfully and creatively, can empower individuals and bridge gaps. It’s about finding the right balance and ensuring that everyone has the opportunity to learn and grow with these new technologies. What are your thoughts on ways we could better support users to maximize the benefits of AI?

@zijian this is templates

@zijian That's actually a great question. One of my buddies who works at OpenAI gave me an extremely simplified version of how the algorithm works. The algorithm is pretty simple, the input = 8 words, and the output = the next 8 predicted words. So you just feed it enough text until it learns how to predict output from given input.

@zijian that's a good question

@rockzhang For people who don't care about AI, they might miss out on tools that can simplify tasks and boost productivity. They could find it harder to stay competitive in fields that increasingly rely on AI. However, it's perfectly fine to focus on areas that don't depend heavily on AI. Staying open to learning about new technologies, though, can be beneficial as the world continues to evolve.