Thanks for this interesting post! This is a clever use of AI and certainly creates value for programmers in many ways. I have a few developer friends who use this and they are impressed (and a bit scared) by CoPilot’s ability to get things right. They are worried that their jobs as programmers will be eliminated someday! I find your comments on challenges and opportunities very helpful. There is indeed some legal gray area surrounding CoPilot that the company might need to deal with at some point, and there are clearly limitations regarding what the AI can do, but this is already a good starting point and quite revolutionary!
p.s. Love the Craiyon picture.
This is fascinating! (and timely for the World Cup!) I find your discussion of the 3 challenges particularly illuminating. The company certainly needs to scale to keep growing but as you said, it is challenging to make its service compatible with different record-tracking systems at different teams (or even outside of soccer). Very curious to see how the company does in the near future!
Thanks for this interesting post, Feifei! This sounds like a very useful tool for freelancers, marketers, and students with no design background. I’m curious to know whether and in what way the all-in-one approach gives design.ai a competitive advantage against other specialized firms that leverages AI in just one function (e.g. video or logo making). I also wrote about a company that simplifies the creative production process so can completely relate to the opportunities and challenges you mentioned!
Interesting comparisons! Nice to see there are competitions which drive up quality. The ads were also something I noticed while doing this exercise. It’s interesting that the two companies are monetizing their services in such different ways.
It’s very interesting that the AI only depicts the spaceship as a separate object and does not even show the chair! It made me think about what elements of the text the AI picks up and whether it depends on the order of the text. I tried reversing the order (putting in “spaceship in claude monet style” and “chair in mark rothko style” and the results seem to be closer to what I had in mind 🙂
Interesting choice! Also surprised that Craiyon did not pick up the source of the quote (guess I expected too much after reading about IBM Watson). It does seem like AI tends to focus on specific, concrete words when the quote has broader meaning. Thanks for sharing this!
Thanks for this post Saltana! I am a Fiverr user and I think it’s a wonderful example of how a platform could match supply with demand and reduce frictions in the talent market. I agree with your concern about the lack of stickiness, as many competitors exist in this space and both consumers and freelancers and multihome. Fiverr’s differentiation strategy isn’t particularly clear to me (maybe it focuses more on design and artistic industries?) I’m also curious to know whether Fiverr applies filters on customer reviews, given the importance of those reviews in signalizing a seller/customer’s quality.
Isha, I really enjoyed reading this post (as a Duolingo user myself)! It was interesting to learn about Duolingo’s value capture and monetization strategy in particular, as they are less obvious compared to its value creation. I’m curious to see if the Duolingo test certificates will be accepted widely by universities in the next few years. How does Duolingo dealing with churns? You mentioned that they set milestones and rewards – are those sufficient to keep users from churning from the platform over time? I also wonder whether eduTech platforms like Duolingo are planning to enter the metaverse space by leveraging NFTs and minimizing the depreciation of learning over time.
Thanks for your post Isabella! I enjoyed reading about Rappi. I found it interesting that Rappi (and many other superapps in developing economies) is able to consistently capture value and scale quickly even when facing challenges from multiple specialized competitors and a high level of multihoming. Your comment on first-mover advantage (as well as the fact that data is a highly scalable resource here) helped me make sense of this! And the growth potential is always there when there are so many institutional voids to fill. Your last comment on Rappi’s role in talent development is also extremely interesting. I’ve come across a few academic studies that look at how Rappi/digital disruptions render certain traditional jobs obsolete and make people lose jobs, but as you pointed out it also creates jobs and boosts entrepreneurship! One aspect I’m curious to learn more about is how Rappi deals with regulations and consumer complaints. I imagine this type of issues would become more pronounced as Rappi continues to increase its scope.
This is fascinating! Thank you for the post. Does the camera work for cats and other pets too, or are the features/AI algorithms mainly designed for dogs? Given the competitive landscape of the pet camera market I wonder if it is a better strategy for Furbo to specialize in one animal and increase functionalities, or make the algorithm general enough to accommodate different types of pets. And agree that it’ll be exciting to see how Furbo positions itself further into animal safety and training!
Thanks Anand, this is fascinating and clearly shows how technology and data could create value in developing countries. I had almost the exact same questions as Yannik’s while reading through the post. I wonder if certain economy-wide factors (lack of quality input, low adoption of technology, climate change etc.) are restricting Bayer’s ability to scale. But overall, I feel very encouraged by this post knowing that this type of companies are creating values around the world!
Thanks for your post Steph! I really enjoyed reading it. I would imagine a variety of technologies and expertise goes into building the Grammarly AI, and it needs a large corpus to begin with! It was also interesting to learn that Grammarly has now branded itself as an AI-enabled tech company focusing on grammar checks – I think that’s a clever strategy, and sets it apart from other AI-writing tools such as GPT-3. I’m curious to know whether Grammarly’s current pricing strategy works well and whether a sufficient number of users subscribe to non-free versions of Grammarly.
Thank you for reading through my post Jiwon! What MicroConnect is doing is indeed highly innovative and not simple. To clarify, MicroConnect directs money from investors to small businesses, with which the small businesses could grow. In return, the investors are promised a percentage of the small business’s future revenue as returns. If the small business grows successfully, the investor will be able to enjoy a greater amount of return as a result of that success. This is very different from traditional financing models where the small businesses borrow an amount of money from lending agencies and pay an interest rate on the debt. So in essence, the MicroConnect model is a financial innovation, but it is only possible to be implemented with proper digital infrastructure.