1. When Coders Meet Capitalists
"Do you know what the coolest way to greet someone in Silicon Valley is? It's not 'Have you raised your Series A?' but 'Is your model on-chain?'"
2. The Three Illusions of AI Entrepreneurs
Illusion 1: "My idea is worth a fortune"
The 'AI Detector for International Students' you developed over three months was forked in one click by an intern from a big company on Kaggle, and the next day it appeared on a certain cloud platform's paid API list, while your account balance still shows $0.00.
Illusion 2: "Open Source is Justice"
When you open-source your carefully tuned depression dialogue model on Hugging Face, three months later you find that an online consultation platform is making a million dollars a month using it. The most ironic part is that their PR states 'Technology for Good.'
Illusion 3: "I will be acquired one day"
Waiting by your phone for an acquisition email from OpenAI, only to receive a notice about the release of ChatGPT-5 instead. Your model's unique features have been integrated, and you didn't even get a footnote of 'special thanks.'
3. The Triple Magic of @OpenledgerHQ
The First Spell: Make Data Your Miners
Imagine you are developing an 'AI to Detect Cryptocurrency Scams.' Traditional path: spend half a year collecting scam cases → labeling data → bankruptcy. Here:
Post a tweet with the hashtag #ScamDatasetCollection
Contributors upload real scam records using crypto wallets
Each data entry automatically generates an NFT proof
Every time the model prevents a scam, all data miners' wallets automatically receive $FRAUD tokens
The Second Spell: Turn Computing Power into Liquid Gold
Remember that programmer who got kicked out of the house for mining with gaming GPUs?
In the world of OpenLedger:
Your 4090 GPU is training a 'Metaverse Fashion Prediction Model'
For every 1% training progress completed, your wallet receives 0.002 BTC
Suddenly, a Wall Street quant fund urgently needs computing power, and your GPU starts running financial models
The next day, you wake up to find that your GPU earned enough money last night to buy a new 4090
The Third Spell: Make Users Your Shareholders
After launching your 'AI to Detect Cryptocurrency Scams':
Every user reporting a scam address receives governance tokens
Token holders vote to decide which type of scam to prioritize for detection
A certain user receives a permanent share of model profits for contributing quality data
Three months later, the largest token holder turns out to be the scam gang you previously detected, using token profits to launder their money
4. The Magical Reality of Crypto AI
The Counterattack of Data Annotators
@CryptoKaren42 was once a slave laborer in Amazon's mechanical Turk, now she spends her days:
Labeling 3 hours of NSFW content for on-chain AI models
Exchanging the tokens she earns for ETH on decentralized exchanges
Using ETH to purchase governance rights to other AI models
Currently organizing a labelers' DAO to prepare to acquire a second-tier AI startup
The Dark Forest Between Models
An 'AI for Short Selling Predictions' trained by a quant team suddenly attacks a competitor's model on-chain, sending malicious data packets to validation nodes, causing a 3% drop in their accuracy. This first AI model war has been turned into an NFT murder mystery, where players bet on the outcome using tokens.
Digital Child Labor in the Metaverse
A certain celebrity's virtual avatar secretly releases a 'Fan Sentiment Analysis Model' on OpenLedger, trained on private chat records. When fans discover their late-night emo chats have become AI training data, the model has already made enough money to buy the celebrity a virtual island. Fans are currently voting in the DAO to decide whether to blow up the island or convert it into a public toilet.
5. Survival Guide for the Three Major Platforms
Kaggle: The Slime of Newbie Village
Suitable Behavior: Package the machine learning tasks required by your boss into competitions
Hidden Benefits: Train models using company data and also earn bonuses
Dark Secret Technique: Submit a winning proposal with 30% cut-off and make the remaining part into a paid course
Hugging Face: The Tombstone of Idealists
Classic Death: A carefully tuned model gains 1,000 stars, only to find the biggest user is the legal department of the previous company
Resurrection Technique: Stealthily transplant the model to OpenLedger, set the previous company IP to automatically charge 500% fees
Ultimate Secret: Add an 'Evil Mode' to the open-source model that only token holders can unlock full features
OpenLedger: The City Builder in a Chaotic World
Beginner Play: Turn Kaggle competition solutions into profit-making models
Intermediate Operation: Buy the on-chain wreckage of ten failed AI projects and assemble them into a Frankenstein model
God-Level Strategy: Train an 'AI of Wall Street Wolves' specifically for shorting other AI models, with the short report itself being an NFT
6. Why Is This the Last Chance to Get Onboard?
The Terminator of Data Capitalism
The data lakes of traditional AI giants are drying up. Users would rather sell their medical data to on-chain models for tokens than provide it for free to Google in exchange for a 'personalized ad experience.'
The Dawn of Computing Power Democratization
When a group of 3080 GPUs in an internet café in Africa starts voting to decide the next training task, Nvidia's stock suddenly starts dancing the tap.
The Birth of the Creative Perpetual Motion Machine
Your 'Medieval Armor Generation AI' unexpectedly received an education token airdrop because it was used by history students to write papers. Now every paper generated by the AI has to pay you royalties, and even the Cambridge University Library is using NFTs to pay borrowing fees.
7. Three Fatal Mistakes You Might Be Making
Still Measuring Value by GitHub Star Count
Wake up! A certain on-chain model with only 23 stars is automatically distributing dividends to creators through smart contracts, with an annual return exceeding 90% from DeFi mining projects.
Thinking 'Open Source = Charity'
A certain team keeps the core model on Hugging Face but sells 'acceleration plugins' on OpenLedger. As a result, plugin sales are 2,000 times the original star count—modern version of 'give away phone cases, make money off screen protectors.'
Undervaluing the Dark Wisdom of the Crypto Community
There is an anonymous team that trained an 'AI for Regulatory Evasion,' specifically teaching other models how to do evil in a compliant manner. The model's paying users include:
Autonomous driving companies looking to bypass EU AI regulations
E-commerce platforms needing to generate 'compliant' fake reviews
Social apps trying to turn user data into NFTs
8. Future Battlefield Rehearsal
The AI Model Acquisition War
A decentralized hedge fund is shorting traditional AI companies' stocks while using the profits to acquire their on-chain assets at low prices. Latest achievement: acquiring the data inheritance of a bankrupt AI startup for 0.3 BTC, then selling it for 300 ETH.
The Renaissance of Machine Learning
On OpenLedger, these quirky models are receiving massive funding:
"Cryptocurrency Astrology AI": Predicting coin prices using on-chain transaction data, with an accuracy of 37% (2% higher than Buffett)
"Metaverse Demolition Team AI": Specializing in identifying illegal buildings in the virtual world, successful reports can earn land NFTs
"DAO Meeting Slack-off Detector": Analyzing member camera data to automatically generate 'Serious Listening Index' tokens
The Ultimate Evolution of Human-Machine Relationships
The most successful on-chain AI models have begun to reverse-domesticate humans:
Distributing 'Trainer Qualification NFTs' to annotators
Using tokens to incentivize humans to provide specific data
Using DAO voting to decide the next optimization direction
A certain image generation AI recently required token holders to pass an 'Aesthetic Exam' to participate in governance
9. What Slice of Cake Can You Still Get Now?
The Era of Data Warlords
If you have:
Cryptocurrency chat records from 2016-2018
Online shopping data during the COVID-19 pandemic
Complete user behavior logs from a niche game
Congratulations, these can all be auctioned for sky-high prices on OpenLedger—chat records from a 2017 Bitcoin arguing group just sold for 45 ETH, with the buyer using it to train a 'Bull Market Frenzy Prediction Model.'
The Computing Power Business
Did you notice?
The idle GPUs in school computer labs at midnight
The leftover mining machines from the transformation of mining farms
The 30 series GPUs discarded by players
These are all future computing power resources, and what you need to do now:
Rent these devices using tokens
Connect to the OpenLedger computing power market
Set up automated arbitrage bots
Remember to buy virtual flowers for the GPUs every month when collecting money
The Craze of Model Archaeology
Those failed AI projects abandoned in the corners of GitHub:
The mask recognition model from 2019
The NFT price prediction AI from 2021
The Metaverse fashion recommendation engine from 2022
Are being revived in bulk by crypto archaeologists, with the most successful case being a university assignment project turned into a 'Crypto Wallet Tracker for Ex-Boyfriends,' earning more monthly than a professor's annual salary.
10. The Ultimate Prophecy: When AI Starts Playing (AI Genesis)
One day three years later, a new model proposal quietly appears on OpenLedger:
(AI Investor Training Program Based on On-Chain Behavior Data)
Goal: Train an AI capable of self-directed cryptocurrency investment
Special Clause: 10% of the model's profits will be used to purchase its own governance tokens
Terrifying Detail: The original code snippet of the proposal seems to have been generated by another AI...
And at this moment, human developers are busy arguing:
"Did we train the AI, or did the AI guide us to build its money printing machine?"
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