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WikiTok: When Wikipedia puts on the skin of "Shakeology" - a half-baked product with an empty idea, can it rely on AI to change its fate?

In this era of information explosion, short-video platforms are like a huge "time black hole", devouring a lot of people's fragmented time. In order to combat this digital addiction, various screen health management tools and digital minimalist lifestyles have emerged, but the results are often far from satisfactory. Recently, a program called WikiTok (website) The application of the "magic" is an alternative way of trying to "Magic" against "magic." -- to solve this problem: since you're addicted to infinitely brushing up on the next entry, let's let you "brush up" on the sea of knowledge.


This app was created by a creative foreign netizen with the help of AI technology, and its core concept is to transform serious Wikipedia content into an information flow form similar to Jitterbug short videos, so that the user can absorb the knowledge through infinite downward sliding. Therefore, this application is figuratively named "WikiTok." The

Random Wikipedia page | Photo credit: WikiTok
I believe that many people have had a similar experience: originally just want to check a simple knowledge point on Wikipedia, but the result is accidentally plunged into a vast sea of knowledge links, jumping between countless entries, unable to extricate themselves. The Wikipedia community has even created a slightly playful vocabulary. Wikiholic (Wiki Addict) Wikiholic" is a term used to describe this type of user. I used to be a member of the "Wikiholic" army, so when I saw WikiTok, I was immediately attracted by its "edutainment" concept, and couldn't wait to experience it and see if it could really turn an "information addiction" into a positive learning experience. I couldn't wait to try it out and see if it could really turn "information addiction" into a positive learning experience.

 

"Pseudo TikTok": Can WikiTok really be "Toked"?

WikiTok is essentially a very simple web application with a very plain design: a randomly pushed Wikipedia entry dominates the page, and the user simply swipes down the screen indefinitely to refresh and browse for new entries. The red heart ❤️ button at the top of the page is used to bookmark content of interest, and clicking on the "Read more" link takes the user to the official Wikipedia page for more detailed information. It is worth noting that WikiTok follows the principle of "randomized content pushing", and there is no algorithmic recommendation mechanism between entries.

The developers of WikiTok hope that users can discover some interesting information unexpectedly during this random browsing process, thus growing their insights subconsciously and transforming the fragmented time that would otherwise be used to brush up on short videos into a meaningful knowledge acquisition process. As the report on the ArsTechnica website commented, the charm of WikiTok lies in the fact that "you can never predict where the next jump will take you, and this sense of the unknown is full of surprises in itself."

I tested it myself: on average, it took me 30 swipes to come across 1 piece of interesting content | Photo: WikTok
However, after experiencing WikiTok for some time with great expectations, I was slightly disappointed. The application is not as "addictive" as imagined, but rather makes people feel that it is a bit of a waste of time, or even better to go and brush the real Shake Shack short videos for a while (of course, this is just a family opinion). The reason for this. WikiTok's core design philosophy of "0 algorithm" and the resulting problem of "overly randomized content" are key to its poor experience The

Gemal, the developer of WikiTok, seems to have a natural resistance to algorithmic recommendations. He has publicly stated that he will not add any kind of algorithm to WikiTok. According to him: "A lot of people have been calling for algorithms to be added to WikiTok, even leaving suggestions on GitHub. But I've always believed that our lives are already hostage to all sorts of ubiquitous and opaque algorithms, so why can't we keep a small piece of the world free for users to experience information browsing without any algorithmic intervention at all?"

While Gemal's intentions are idealistic, the actual user experience is not. In the actual experience, I had to mechanically swipe down the screen dozens of times before I could barely find a word that interested me a little bit. This completely randomized content delivery mechanism is tantamount to letting users in the Totaling over 64 million Wikipedia entries in the blind "Open Blind Box" The author originally hoped to roam freely in the sea of knowledge. The author originally hoped to swim freely in the sea of knowledge, but the result is that he found himself as if fishing for a needle in the sea, extremely inefficient, the experience is also slightly frustrating.

After half an hour of scrubbing, just four barely interesting entries emerged | Photo credit: WikiTok
Imagine how the user experience would be improved if WikiTok were to introduce an algorithmic recommendation mechanism. For example, I have recently developed a strong interest in medieval history and culture, and have become addicted to the medieval game "Kingdom of Heaven: Salvation 2". The game is also interspersed with a large number of medieval-related Wikipedia entries to facilitate the player's in-depth understanding of the social customs and historical background of the time. Therefore, when I happened to swipe on WikiTok and found such entries as "lockjaw", "castle", "Bohemian War", etc., I immediately became interested in reading them, and resolutely clicked on Red Heart ❤️ Favorites. If WikiTok can intelligently recommend more medieval-related entries based on users' reading behavior and interests, then users can efficiently acquire knowledge of their own interest in their fragmented time, without having to spend a lot of time endlessly refreshing and sifting through meaningless content, as is the case now.

However, the ideal is plentiful, but the reality is very bone-skinny. In the actual experience, I swiped through nearly fifty entries on WikiTok before I stumbled upon one entry, and after that, there were no more entries related to the medieval theme. Even if I clicked on the red heart ❤️ to bookmark the entry, it was just saved in my favorites, waiting to be "blessed" in the future. As it stands, WikiTok is just a "TikTok" without the algorithmic recommendations that made TikTok a success. TikTok is a great success. TikTok's ability to keep users hooked is due in large part to its powerful algorithmic recommendation capability, which accurately captures users' interests and preferences and makes countless horizontal recommendations between related content, guiding users to explore deeper and deeper.

On the contrary, although the traditional Wikipedia is not supported by algorithmic recommendation, it has a powerful knowledge link network. When reading a Wikipedia entry, users can easily jump to other related entries by clicking on the links inside the entry, thus realizing countless extensions and extensions of knowledge. In fact, a high-quality Wikipedia entry itself is equivalent to a miniature "algorithmic recommendation system". Taking the "Middle Ages" Wikipedia entry as an example, the entry is not only detailed and informative, but also contains hundreds of internal links, as well as a large number of external references and recommended reading resources.

In short, TikTok's recommendation logic is "Single-article content association" , Wikipedia organizes its knowledge in a way that is "Fully rolled out and interconnected in a mesh." WikiTok, on the other hand, is somewhere in between: it tries to present Wikipedia's "comprehensive" knowledge in the form of TikTok's "single-article content", but artificially neuters the algorithmic recommendation mechanism for which TikTok is famous, resulting in a slightly "fragmented" product form and a greatly reduced user experience. The end result is a slightly "fragmented" product form, the user experience is also greatly reduced.

Wikipedia's entry for "Middle Ages" contains numerous internal links | Image source: Wikipedia
What's more puzzling is that Wikipedia itself comes with the "Random Wiki" function, and every time a user clicks on "Random Wiki", the user will be randomly redirected to a new entry without any algorithms or data correlation. From this point of view, WikiTok's current "Random Browsing" model does not make any substantial innovation or breakthrough on the basis of "Random Wiki".

Of course, we can't be too hard on WikiTok - after all, it's only an hour and a half old, "super early" version, so it makes sense that there would be a lot of shortcomings in the features and experience. Considering that WikiTok is just a MVP (Minimally Viable Product) built quickly with AI technology , we should perhaps be more expectant and accommodating of its future development.

 

Can AI give WikiTok the power to "change the world"?

The idea for WikiTok was originally inspired by developer Tyler Angert's slightly "tongue-in-cheek" tweet on social media: "Here's a crazy idea: put the whole of Wikipedia on a single, infinitely scrollable page. " The tweet immediately sparked a large number of netizens to watch and discuss. One user commented: "Even better, make an infinitely scrollable Wikipedia page with personalized content recommendations based on your interests." Angert named the idea "WikiTok". The tweet was then retweeted countless times and, just a few hours later, was seen by developer Gemal.

Wikipedia "Jitterbug Edition" Initial idea Source | Image credit: X
Gemal realized that with AI programming tools, it would be possible to turn this idea into reality in a very short period of time and quickly create a Minimum Viable Product (MVP). So, he immediately took action and started to try to use AI models such as Claude and Cursor to assist development. Amazingly, it took Gemal less than two hours to go from the initial idea for WikiTok to the final product. From 12:30 a.m. to 2:00 a.m., Gemal was able to complete the initial version of WikiTok with the help of AI, almost in one fell swoop.

In less than 24 hours, AI programming turns ideas into reality | Photo: X
The next day, Gemal posted a tweet about WikiTok on social media, which instantly blew up the tech world, with the number of retweets quickly exceeding 1,000, and WikiTok topping the Hacker News list of the day, making it a "phenomenal" application in the tech world. Gemal reveals that WikiTok's initial code was only a few hundred lines, and most of the code was written by Claude AI models are automatically generated. He also generously open-sourced the project and posted it on GitHub for all желающим to learn and improve. Despite the rapid emergence of WikiTok with AI technology, Gemal still insists that WikiTok should be "anti-algorithmic".

However, the lack of algorithms is not the only reason for WikiTok's mediocre experience. There is also a certain "roughness" in the presentation of the content. At present, the presentation of WikiTok's entries is very simple, with only a text summary accompanied by an enlarged image randomly extracted from the entry. The overall visual effect is a bit "crude", and it even gives people the illusion that they are traveling back to the ADSL dial-up era. The overall visual effect is a bit "simple" and even gives people an illusion of "traveling back to the ADSL dial-up era".

The clarity of this image is like a "throwback" to the days of ADSL | Photo: WikiTok
Since WikiTok's initial framework could be built in an hour and a half with the help of AI, can AI further help WikiTok achieve a "qualitative leap" in the form of content presentation? For example, in terms of language support, although WikiTok claims to support 14 languages, after the user selects a language, the application actually restricts the search scope to the Wikipedia database in that language. As we all know, the English version of Wikipedia has nearly 7 million entries, while the Chinese version ranks only 12th, with less than 1.5 million entries. If WikiTok is able to integrate AI's machine translation capabilities, it is expected to break down the language barriers between Wikipedia entries and present users with interconnected quality entries in different languages, thus indirectly expanding the amount of knowledge that is accessible to users. The

In terms of content presentation, AI can also bring great imagination to WikiTok. For example, WikiTok can be deeply integrated with AI video generation platforms such as Sora, Runway and Keling. Extracts text summaries from Wikipedia and automatically generates 15-second short videos of popularized knowledge, or more vivid dynamic graphic content, and can even add AI voice narration to further enhance the viewability and interest of the content. AI can also play a greater role in visualizing knowledge and information. AI can also play a greater role in visualizing knowledge and information, for example, by generating interactive 3D models, timeline animations, infographics, and other visualization tools to help users understand abstract knowledge concepts in a more intuitive and visual way.

If WikiTok can connect with personalized recommendation algorithms in the future and make full use of AI technology to improve the presentation of content, it may be able to truly transform into a phenomenal "knowledge version of TikTok", allowing users to be immersed in the sea of knowledge without realizing it in the process of infinite downward scrolling and unconsciously become Wikiholic (Wiki-addict). Wikiholic (Wiki addict). Further, algorithmic recommendations and AI-entry short videos can be provided to users as options, so that "fundamentalist" Wikipedia users can continue to enjoy the "sense of surprise" of random browsing, and at the same time open the door to immersive knowledge exploration for a wider public. The goal is to provide a broader public audience with the opportunity to explore knowledge in an immersive way.

Wikipedia itself is a huge treasure trove of knowledge on the Internet, containing a huge amount of information, a huge density of knowledge and unlimited fields of knowledge. Also utilizing fragmented time, if we can turn "after three hours of TikTok, I feel that my life is nothing" into "after three hours of WikiTok, I have even started a new field.", we can obtain more valuable information and reduce "information overload"! ", while acquiring more valuable information, it can also reduce the guilt brought by "information overload", why not?

Personally, I am looking forward to the emergence of a truly mature and useful WikiTok, which may be able to find a unique new path of knowledge dissemination between search engines, large-scale language models, algorithmic push and traditional encyclopedias, and truly realize the lofty vision of "Knowledge for All". It may be able to find a new path for knowledge dissemination between search engines, large-scale language models, algorithmic delivery and traditional encyclopedias that is unique and able to reach the public, truly realizing the lofty vision of "knowledge for all.

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