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We should learn from Xiaomi, DJI, and Apple. In essence, toC companies are more like consumer electronics companies. They need to pay attention to the supply chain. In the first half of the year, you can't buy GPT- because OpenI doesn't sell it, or it sells it in limited quantities, but Microsoft sells it. Microsoft says that if you charge 10,000 yuan, I will sell it to you. , this is like a typical supply chain management problem. We need to pay attention to pricing, the cost of OpenI, LLM has reduced the price, and it has dropped to one-third after the press conference. Are we going to follow suit? It doesn't seem right. You should keep the price the same but give more stuff. The new generation of Xiaomi mobile phones, Qualcomm has become so powerful that it should still be sold at such a price. We need to pay attention to the brand and let everyone think of you when they think of the application. We need to pay attention to channels and gross profit margins. Once we achieve scale, we can maintain good gross profit margins, and only then can we have money to invest in research and development and advertising, so that more people can use it and form a positive cycle. Do you have to have LLM capabilities to make super applications? To put the question another way, can we make super applications with LLM capabilities? Neither. Super applications are inherently difficult, and consumer electronics is also competing in all aspects. It is better to focus on things we can focus on. Apple's Dy did not manufacture chips. It first used Intel, and then spent years replacing that chip with its own MC chip. Therefore, consumer electronics is an all-round competition. Don’t think that LLM’s awesomeness is everything. Private data is very important, and it is especially important to give LLM enough context. Browser plug-ins are a good form. It depends on what the user has said in the past, what he has checked, what he has saved... (Of course, even this may still not win). 5. Perplexity’s product design capabilities Perplexity’s underlying search uses Bing’s PI, and result processing uses GPT’s PI, which is a pure shell. His users are one ten thousandth that of Google, but he is often mentioned in this category, which proves that he has a certain imagination in terms of product design.
ts search box is a text re, which is multi-line, while Google is single-line. The implication beh Armenia WhatsApp Number ind it is that Google search may require users to enter a phrase or a short sentence; while perplexity allows users to enter a long paragraph, which can help you break down the matter and help you do a good search. It is more in line with human expectations. Imagination of the problem. Second, it is very interesting and has no burden. The results of Google search will contain a large number of links. Even if there are generated answers, the links will always be in the main position. The design of Perplexity is to publish a long answer first, and the links are in the form of small annotations. The answers come from these places, and you can trace the source by yourself. From the perspective of product design, it does not have the burden of traditional search bidding rankings or advertising sales. It can redefine its product design. The business logic behind it is that its search can directly charge users. 6. Dobe canceled the acquisition of Figm.
Four or five years ago, a new company Figm appeared, specializing in user interface design. It did several things: The user interface design tool is easier to use than Photoshop; it is open With the ecology, there are people who specialize in making icon plug-ins or plug-ins of a certain style, so it becomes extremely simple. There are also people who specialize in combining image cutting with front-end code (there are many ready-made things that you can make by just putting them together. ); Multiple accounts have been opened, and programmers and designers can collaborate here (previously, they designed a picture → uploaded the picture → took the picture and cut it, but now they can collaborate directly in Figm). So dobe panicked. The entire IT industry is paying more and more attention to user interface and user experience. Figm accounts for % of it, and it may become more and more. So two years ago, when Figm had only 100 million US dollars in revenue, dobe took 100 million US dollars in revenue. dollars to buy it.
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發表於 2024-2-20 18:52:09