At that time he believed that smart reading products more suitable for the public should be personalized recommendations based on algorithms In ByteDances main product Toutiao was launched It not only gained a large number of users but also made the public understand the concept of recommendation algorithm Then the algorithm was used in more information ecommerce and short video platforms allowing you to watch to content you like from people you Now it seems that what Zhang Yiming said is still correct Artifact is a new product in and it may also be a throwback that echoes the s
On the one hand it is rooted in text in the era of Europe Cell Phone Number List short videos and on the other hand with the help of the most popular machine learning and algorithms Artifact compares itself to the text version of TikTok which is very illustrative of the problem creating a perverse feeling like time travel Personalized news apps are actually not uncommon and some are much older than TikTok However TikTok and the short videos it represents have now surpassed reading products such as Toutiao and become synonymous with Guess
You Like It US version of public account Substack the founder is also an RSS enthusiast Artifact actually doesnt have many new ideas Except for some decorations of AI functions its existence is more like old wine in new bottles But the shortlived appearance of Artifact also shows that in an era with more information when texts pictures and short videos emerge in endlessly it becomes more difficult to filter information The most interesting thing is that Artifact cant find its own position In just one year .