The Art of Speculation: When Coin Launches Become a Mind-Reading Game Centered on Leaders' Social Dynamics

比推2026-01-08 tarihinde yayınlandı2026-01-08 tarihinde güncellendi

Özet

The article "The Art of Reading Between the Lines: When Coin Listings Become a Game of Guessing Leaders' Social Cues" critiques the culture of speculation and sycophancy in the cryptocurrency space, particularly around Binance’s listing process. It draws a parallel to a Shandong dining custom where the fish head is pointed toward the guest of honor as a sign of respect—a tacit social rule that requires intuition rather than explicit instruction. The piece centers on a recent event where He Yi, Binance’s co-founder, posted a cryptic New Year’s tweet saying “我踏马来了” (roughly: “Here the f*ck I come”). Shortly after, a community-created meme token with the same name was listed on Binance Alpha, despite He Yi’s earlier statements against favoritism and “insider coins.” The author argues that this reflects a deeper cultural issue: the shift from merit-based innovation to a system where success depends on interpreting the subtle hints of influential figures. Unlike traditional industries where technical skill or product quality drive progress, the crypto industry often prioritizes access to information, relationships, and the ability to please key decision-makers. The piece suggests that this “Shandong mindset”—where insiders learn to “read the room” rather than challenge or create—undermines transparency and rewards those who excel at flattery rather than genuine contribution. While He Yi may not have directly endorsed the token, the very fact that her social media activity can t...

Author: Kuli, Shenchao TechFlow

Original Title: Where the Fish Head Faces He Yi: Crypto Has Its Shandong-Style Politics Too


There's a rule at Shandong banquets: when the fish is served, the head must face the seat of honor.

Whoever it faces is the main guest and must drink first. This isn't written down anywhere, but everyone in Shandong knows it. No one teaches you; you just learn it.

Recently, someone drew a picture called "Crypto Shandong-Style Politics." A group of people sit around a table eating fish, with He Yi in the seat of honor, flanked by KOLs, the listing team, and social media editors.

Caption: For a Binance listing, the fish head must face He Yi.

On January 1st, He Yi posted a New Year's tweet. Riding a white horse by the seaside, caption in four characters:

我踏马来了 (Wǒ tà mǎ lái le - I've f*cking arrived).

A fine New Year's greeting. "Tà mǎ" (踏马), the Year of the Horse, with a bit of playful homophonic wordplay.

Today, Binance Alpha listed a new token called "我踏马来了" (I've F*cking Arrived). It was community-made, with no direct connection to He Yi.

But look at this chain: First Sister tweets, the community creates a token, Alpha lists it.

No one needs to give any orders in the middle.

Last year, Binance was hounded by accusations of "BFF coins," alleging shady listing practices and利益输送 (interest conveyance/corruption). He Yi responded several times, saying they were reflecting, adjusting, and even created Alpha as a screening pool.

In December, she also tweeted saying, don't try to find angles in our official tweets about various Memes; we won't pay attention to this kind of thing anymore.

28 days later, her New Year's tweet became a new token on Alpha.

What was the problem with BFF coins? It was about backdoor deals, favoritism,利益输送 (interest conveyance/corruption).

These require evidence, a paper trail, a specific "BFF."

But "I've F*cking Arrived" doesn't need any of that.

No backdoor, no favoritism, no利益输送. First Sister posted a picture, and the people below just started moving on their own.

This perhaps touches on the essence of Shandong-style politics: the leader doesn't need to speak; you have to figure it out yourself.

Someone in the community commented that Alpha is now just a tool for currying favor, its purpose is to make First Sister happy.

Crude wording, but it describes a certain atmosphere.

When a platform's direction starts revolving around someone's social media activity, when "which coin to list" becomes "guess what she likes," rules cease to matter.

What matters is揣摩 (speculation/reading intentions).

Some put it more harshly: If you want to know if an industry has a future, ask one question—In this industry, do people who are good at flattery succeed more easily than people who are good at doing the work?

If the answer is "yes," then this industry is on the decline.

In crypto, this trick really works. And the most successful ones, everyone knows which direction the flattery should be aimed.

The core resources in the AI circle are technology and products; you have to deliver. Jensen Huang won't allocate you GPUs just because you call him daddy every day.

The core resources in the crypto circle are listing power, traffic, and who knows the news first. These things aren't in the code; they're in people's hands.

Things in people's hands must be obtained through human methods.

The more Shandong-style politics prevails, the more it relies on connections and information asymmetry, not innovation and technology.

He Yi might not even know about this. A small MEME worth a few million market cap isn't enough to bother the Co-CEO.

But that's precisely the problem.

She doesn't need to know. The fish head will turn by itself.

This is really much more efficient than BFF coins.

BFF coins at least required a BFF. Shandong-style politics only requires an atmosphere.

And those who see through this set of rules and implement them thoroughly are, in a way, also talented.

After all, in this society, people laugh at the poor, not the prostitute. (笑贫不笑娼 - A saying criticizing societal values that scorn poverty but overlook the means of acquiring wealth).


Twitter:https://twitter.com/BitpushNewsCN

BitPush TG Discussion Group:https://t.me/BitPushCommunity

BitPush TG Channel: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7601064

İlgili Sorular

QWhat is the core argument of the article 'The Art of Speculation: When Coin Listings Become a Mind-Reading Game Around a Leader's Social Media'?

AThe article argues that in the crypto space, especially around Binance, the process of token listings has shifted from being based on innovation and technology to a culture of揣摩 (speculation/guessing) where community members and projects try to interpret the social media posts of leaders like He Yi to gain favor, rather than relying on formal rules or merit.

QWhat is 'Shandong Study' (山东学) as described in the article, and how does it relate to Binance's token listing process?

A'Shandong Study' is a metaphor derived from a Shandong dining custom where the fish head is pointed towards the guest of honor. In the context of Binance, it symbolizes a culture where participants automatically align their actions (like creating and listing tokens) to please or anticipate the preferences of leader He Yi, without any explicit instruction, mimicking the unspoken rule of the dining tradition.

QHow does the article contrast the 'Shandong Study' phenomenon with the previous '闺蜜币' (close-friend coin) controversy at Binance?

AThe '闺蜜币' controversy involved allegations of explicit favoritism, backdoor deals, and利益输送 (benefit transfer) through personal connections. In contrast, the 'Shandong Study' phenomenon requires no direct orders or concrete relationships; it operates through an implicit atmosphere where community members spontaneously act to please the leader based on social media cues, making it more efficient and less traceable than the 'close-friend coin' issue.

QAccording to the article, what does the success of the meme token '我踏马来了' (I'm Coming on Horseback) demonstrate about the current state of the crypto industry?

AThe success of '我踏马来了'—a token created and listed on Binance Alpha simply because it was inspired by He Yi's tweet—demonstrates that in the crypto industry, success can be driven by揣摩 (speculating on) and catering to the preferences of influential leaders rather than technological innovation or product merit, indicating a reliance on人际关系 (relationships) and information asymmetry.

QWhat critical question does the article suggest asking to determine if an industry has a future, and what is the implied answer for the crypto space based on the examples given?

AThe article suggests asking: 'In this industry, do people who are good at flattery succeed more easily than those who are good at doing actual work?' The implied answer for the crypto space is 'yes,' as the examples show that tokens gaining traction through揣摩 (speculation) and alignment with leaders' social media are successful, suggesting the industry may be declining if this culture persists.

İlgili Okumalar

TechFlow Intelligence: Trump-Linked Companies Transfer $12 Million in Assets Before China Visit, 'The Big Short' Protagonist Warns of Stock Market Bubble Again

The article reports multiple developments across tech, crypto, and finance. In AI, Mozilla used AI for large-scale code review, Google confirmed hackers used AI to find zero-day exploits, and OpenAI deployed GPT-5.5 to find errors in math benchmarks. A court ruled Anthropic's scanning and destroying books for AI training as fair use, while its Claude platform launched on AWS. Google's new video model 'Omni' was leaked. In crypto/Web3, Trump-linked companies transferred $12M in crypto assets before a China visit. BlackRock chose Ethereum for tokenized funds, and a hacker stole $174k via a malicious NFT that tricked an AI. Jack Dorsey's first tweet NFT plummeted from $2.9M to under $5. In chips/hardware, TSMC approved an additional $20B for its Arizona plant. Apple's Tim Cook and Elon Musk will accompany Trump to China, while Nvidia's Jensen Huang is notably absent. For markets, Michael Burry warned of parabolic stock rises and suggested near-total sell-offs, with online discussions comparing current sentiment to the 1999 bubble. Other notes include WTI oil surpassing $100, a 20% price hike for Beijing-Shanghai high-speed rail, and new products like Unitree's $26.9k humanoid robot. The underlying theme suggests AI is becoming infrastructure, creating pressure on old systems while a new order is not yet ready, leaving investors anxious.

marsbit14 dk önce

TechFlow Intelligence: Trump-Linked Companies Transfer $12 Million in Assets Before China Visit, 'The Big Short' Protagonist Warns of Stock Market Bubble Again

marsbit14 dk önce

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

marsbit1 saat önce

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

marsbit1 saat önce

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

marsbit1 saat önce

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片