Conversation with Charles Zhang: Amidst the AI Frenzy, Why Pursue 'Anti-Efficiency' Content?

marsbitPublished on 2026-08-25Last updated on 2026-08-25

Abstract

Dialogue with Charles Zhang: In the Era of AI's Sprint, Why Create "Anti-Efficiency" Content Standing out among China's early internet pioneers, Charles Zhang, founder and CEO of Sohu, maintains a distinct personal identity. He keeps a consistent public presence and embodies traits of high-energy individuals: sleeping only 4-5 hours daily, running 5km or marathons, and hosting frequent offline tech forums and dialogues with Nobel laureates. He has shifted focus from external business expansion to internal self-reconstruction, adhering to his own pace. "People aren't afraid of being busy; the busier you are, the better your health. Having nothing to do can lead to emotional issues and poor health." Marking the 10th anniversary of his live-streamed "Charles Zhang's English Class," he recently took it offline for a real-world classroom session. Following this, he discussed the course's decade-long journey, Sohu Video's content ecosystem, and the value of content in the AI era. **Pen and Mouth Diligence: A Class Against Instant Mastery** His English class began in August 2016 on "Qianfan Live." He spends about 40 minutes daily preparing, reviewing dozens of news headlines, reading five in detail, and selecting three for the lesson. Over ten years, he has completed over 2000 live sessions totaling more than 110,000 minutes, with over 52 million views. Initially, the stream was a way to "talk more" and combat emotional struggles. He started by repeating after TV news anchors, ...

Charles Zhang, Founder, Chairman of the Board, and CEO of Sohu

Looking at the present moment, among China's first-generation internet titans, Charles Zhang has always been a figure with distinct personal characteristics.

He maintains a consistent level of public exposure and fits all the traits of a high-energy individual: sleeping only four to five hours a day, persistently walking/running 5 kilometers or running a marathon, while also intensively organizing offline technology forums and engaging in dialogues with Nobel laureates.

He has voluntarily relinquished the obsession with chasing every trend, shifting his focus from external business expansion to internal self-reconstruction. He arranges his life and career at a pace he endorses, stating, "People are not afraid of being busy; the busier they are, the healthier their body becomes. If people have nothing to do, they are prone to various emotions, and their health suffers instead."

On the occasion of the 10th anniversary of the launch of "Charles Zhang's English Class," he decided to take the class offline, testing the waters of a real-life classroom setting. Following this session, we conversed with Zhang. The discussion revolved around the ten-year journey of the English class, the product ecosystem of Sohu Video's feed, and the value of content in the AI era.

The Diligent Hand, The Diligent Tongue: A Class Against Instant Gratification

In August 2016, Zhang began his first live-streamed English class on Qianfan Live. Before each broadcast, he would spend about 40 minutes preparing, browsing over a dozen news headlines, reading five articles in detail, and finally selecting three to use as teaching materials for the live session.

Over ten years, "Charles Zhang's English" has cumulatively completed over 2,000 live sessions, totaling more than 110,000 minutes, with over 52 million cumulative views.

He mentioned that the initial purpose of the live English class was to "talk more," to combat emotional distress. Talking to himself was the first step; he would first speak along with the television, repeating after the news anchors on programs.

At that time, the internet live-streaming war was heating up, and Zhang also launched a product called "Qianfan Live" to compete. He thought, since he needed to talk, why not do a live stream? Live-streaming naturally has an audience and allows for interaction. Thus, he began his daily English live class.

Another 30% of the reason was his desire to bring authentic news to the audience; the remaining 30% was to promote Qianfan Live by personally "taking the plunge" to test it.

"Regulating daily emotions is like a monk chanting sutras," Zhang recalled, starting his day at 8 a.m., reading news and explaining English in front of the camera. This seemingly clumsy "daily ritual" ultimately helped him emerge from the shadow of depression. He even admitted to reaching the "peak state of his life."

From a product perspective, Zhang's start was somewhat counterintuitive. There was no preliminary market research or validation, nor specific growth strategies. It was born from the founder's own needs, finding a scenario that overlapped with user demands.

Yet, his content production follows an extremely standardized workflow. Each live session requires 40 minutes of preparation: browsing over a dozen headlines, reading five carefully, and finally choosing three to discuss.

The daily scope covers geopolitics, global economics, technological advancements, medical health, and various social phenomena... Accumulated over ten years, this constitutes a vast system of compound knowledge interest.

In today's world flooded with AI summaries and algorithmically recommended content, Zhang insists on a "diligent effort": meticulously reading original texts word by word and creating teaching materials by hand. As mentioned earlier, he persists in spending 40 minutes daily preparing for the live stream, reading articles thoroughly and handwriting notes on the board, refusing to use AI for one-click content generation.

To this day, the English class has become a fixed rhythm in Zhang's daily life. As for preparing for the physics class, Zhang must set aside an entire day each week, focusing solely on thinking through problems and performing derivations in front of the blackboard.

Within the live-streaming sphere, Zhang positions himself as a "content creator," not as a corporate CEO or a formal teacher. He sees the physics class as extreme mental training (even if 99% of people don't understand it) and the English class as a sensor for understanding the world.

This explains why a top entrepreneur can persist for 10 years doing something seemingly "irrelevant to his main business"—it is the method of information input and a means of psychological and intellectual therapy he found after hitting a low point.

At its core, it is a commitment to "anti-efficiency." He believes the meaning of reading lies in seeking kindred spirits and spiritual support, not merely obtaining a fleeting topic for conversation.

Relating this to the current media industry, he said, "Reading news is not the goal. Reading news is part of human life. We ourselves have many confusions; we need to find references, seek a group, find our kind, or find support—a nourishment for the spirit. These starting points cannot be satisfied by large models. They can only give you information."

Perhaps this offers some psychological solace and value defense for media practitioners currently impacted by AI summaries.

"Don't Think That With AI, the Earth Stops Turning"

At the event, a content creator confessed his anxiety to Zhang: "I found that after feeding my articles to AI, it can articulate things more comprehensively and profoundly than I can. A lot of my content turns into AI language; the entire article feels very distant from me. I feel my work has little value."

Upon hearing this, Zhang responded with an analogy: "When you go to the vegetable market, it's not the carrots forced by chemical fertilizers—those with a bit of dirt, not looking so shiny, but very tasty, full of flavor. Tomatoes forced by fertilizers have no taste at all."

In his view, AI is giving the world's content a kind of "plastic feel." However, he also acknowledges AI's significant role in improving the efficiency of information acquisition. Especially in physics and social science research, he often asks AI questions, and it quickly provides answers in specific professional fields.

The key, according to Zhang, is that we still need outsiders to guide us in viewing the world: large models provide "information," while outsiders provide "perspectives." What he cares deeply about is: What is this outsider's perspective? How do they think about something?

"Don't think that with AI, the Earth stops turning," he further analyzed. Currently, AI mainly replaces rule-based work. For instance, he clearly observes that the software industry has been significantly impacted in the first half of this year, with many programmers being laid off because decent code can now be written without years of experience.

But for arts, social sciences, emotional and creative content, AI cannot replace humans yet.

"Hollywood is still thriving, still producing great works. The Oscars will continue to award prizes; the Nobel Prize in Literature will continue to be awarded—all written by real people, works still conceived by real people," Zhang said.

In fact, despite maintaining vigilance and a degree of distance from AI, Zhang is not averse to technology and remains open to AI applications. Sohu itself has launched AI assistant-related applications: "Summary Hero" and "Little Fox."

In Sohu's AI practice, Zhang defines his role as a "large model corpus provider." He believes that training large models is inseparable from human-original content as a data foundation; therefore, original content always possesses irreplaceable value.

"The era of self-media has indeed brought new ways for everyone to discover their strengths and achieve certain growth," he suggested. "Nowadays, young people—every individual—should consider self-media."

Most importantly, the bottom line of content creation should be "authenticity." If using an AI digital human, it must be clearly labeled. Not labeling it and letting people mistakenly think it's a real person is a waste of the audience's time, especially when people still prefer content from real individuals.

In fact, behind the rapid advancement of AI technology, we face some unavoidable realities. When AI can quickly provide seemingly perfect answers, people are increasingly accustomed to accepting "summarized" results, omitting the processes of questioning, deduction, and trial and error. Deep thinking ability is declining imperceptibly.

Zhang's "anti-efficiency" practice with his two live shows is his answer to the AI frenzy: In an era where algorithms pursue ultimate efficiency, don't expect AI to fill inner emptiness. Go read, go speak in front of a camera, go sweat on the running track, go connect with real people.(Author | Li Chengcheng, Editor | Yang Lin)

Related Questions

QAccording to the article, what is the main reason Charles Zhang started his live-streamed English class?

AThe main reason was to 'talk more' as a way to combat emotional distress and regulate his daily mood, similar to how monks recite sutras. It served as a form of psychological and mental healing.

QHow does Charles Zhang view his English and physics live-streaming classes in relation to the era of AI?

AHe views them as 'anti-efficiency' practices. He believes AI provides information or data, but human-generated content provides valuable perspectives, thought processes, and a sense of connection that AI cannot replicate.

QWhat metaphor did Charles Zhang use to describe human-created content versus AI-generated content?

AHe compared human-created content to carrots from a market—'with a bit of mud, not so shiny, but very tasty and full of flavor.' AI-generated content was likened to tomatoes grown with chemical fertilizer—'tasteless.' He said AI is giving world content a 'plastic feeling.'

QWhat types of jobs does Charles Zhang believe AI is currently replacing, and which does it struggle to replace?

AHe believes AI is replacing rule-based jobs, citing software programming as an example where many programmers were laid off. He states AI still struggles to replace work in the arts, social sciences, emotional expression, and creative content.

QWhat is Charles Zhang's role in Sohu's AI development, and what principle does he emphasize for content creation in the AI era?

AHe defines his role as a 'large language model corpus provider,' emphasizing the indispensable value of original human content for training AI. The fundamental principle he emphasizes for content creation is 'authenticity.' If using an AI digital human, it must be clearly labeled to avoid misleading the audience.

Related Reads

U.S. Aims at Iran's Crypto Sector Due to Oil Payments Exceeding $100 Billion

The U.S. Treasury Department has expanded sanctions on Iran to target its digital asset sector, citing over $100 million in cryptocurrency payments allegedly used to facilitate Iranian oil sales. The Treasury’s Office of Foreign Assets Control (OFAC) announced new sectoral sanctions covering digital assets, technology, gold, aviation, and shipping, alongside sanctions against nearly 60 entities, individuals, and vessels linked to nuclear, missile, cyber, and oil networks. The move allows OFAC to sanction foreign persons and firms operating in or supporting Iran’s crypto sector, which the Treasury stated is increasingly used as a "tool of choice" to circumvent sanctions, including by the Islamic Revolutionary Guard Corps (IRGC). Specific targets include Ukrainian broker Ivan Obukhov and his UAE-registered firm Foscom FZE, accused of processing over $100 million in crypto payments to facilitate oil sales for the IRGC’s Quds Force. This follows recent U.S. actions against Iran-linked crypto exchanges, including sanctions against UK-based Zedcex and Zedxion in January, four Iranian exchanges including Nobitex in June, and exchanges Shelbit and Aban Tether in August. Unlike previous targeted sanctions, the new measures establish a framework to penalize broader involvement in Iran’s crypto sector, significantly expanding OFAC’s authority under Executive Order 13902. Designated persons’ U.S.-linked property will be blocked, and foreign banks facilitating significant transactions for them may face U.S. account restrictions.

cryptonews.ru43m ago

U.S. Aims at Iran's Crypto Sector Due to Oil Payments Exceeding $100 Billion

cryptonews.ru43m ago

Zcash's ETF Gilding: How a Privacy Coin Was Packaged by Wall Street into a Compliant Asset

The article traces the decade-long path of Zcash (ZEC), a privacy-focused cryptocurrency, to its potential launch as the first privacy coin spot ETF, with Grayscale's ZCSH filing in August 2026. It argues ZEC's suitability stemmed not from regulatory acceptance of its privacy technology, but from its centralized, institutional structure from inception—a commercial company (ECC) with venture capital backing and a Founder's Reward—making it easier to package than decentralized alternatives. Three key institutions, intertwined in a network, drove the process: Grayscale (owned by DCG, an early ZEC investor), which had held ZEC in a trust since 2017; Coinbase, providing custody, prime brokerage, derivatives, and venture investment; and ZODL, a new for-profit entity formed in 2026 when ECC's core development team split from the non-profit foundation. The major regulatory hurdle was SEC scrutiny (2023-2026) over ZEC's historical structure, which resembled an unregistered investment contract due to automatic block rewards to ECC and the Foundation. This was resolved through governance changes (NU6 upgrade in 2024) that ended direct funding and shifted control to community voting, coinciding with a broader shift in SEC enforcement policy. Notably, the law firm Davis Polk represented both the Zcash Foundation in its SEC defense and Grayscale in the ETF filing. The push is also driven by DCG's dire financial needs amid Genesis bankruptcy lawsuits, seeking high-fee products (the ZEC ETF charges 2.5%). Concurrently, major mining operations by entities like Cypherpunk Technologies (backed by Winklevoss Capital) and DCG's Fortitude Mining expanded, motivated by profitability and aiming to influence the network. The article concludes with irony: to become a compliant ETF asset, ZEC must shed its core privacy feature for the fund's holdings, which will be held in transparent, auditable addresses. Wall Street is not adopting privacy technology but packaging the *concept* of privacy into a tradable, fee-generating financial product. The transformation was not a single master plan but the result of a network of aligned interests capitalizing on regulatory, governance, and market shifts over ten years.

marsbit1h ago

Zcash's ETF Gilding: How a Privacy Coin Was Packaged by Wall Street into a Compliant Asset

marsbit1h ago

Trading

Spot
活动图片