🚨 A junior at Jane Street reportedly landed a $220K–$600K role because he used AI to analyze trillions of data points faster than most teams ever could.
In this 1-hour lecture, he breaks down the exact system behind it:
• how he researches massive datasets
• how AI finds patterns humans miss
• how his machine turns raw data into decisions
• how you can apply the same thinking yourself
Skip Netflix tonight.
Watch this instead.
One hour could completely change how you think about research, AI, and opportunity.
Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT.
The AI picked the ChatGPT version 97.6% of the time.
A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B.
Then they asked each AI to pick the better resume. Every model picked itself.
GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won.
Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective.
It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect.
Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance.
99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time.
If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars.
Your qualifications do not matter if the AI prefers its own handwriting over yours.
Developer builds AI job search system with Claude Code that applied to 700+ roles and landed him a job, now released as open-source
🔗 https://t.co/zmUsKxdWFS
💬 https://t.co/LPQoDr5CK3
🕵️ @JohnJL18
If you can’t find a crypto job in 2026, that's a skill issue.
The only 10 platforms you actually need ↓
• @CryptoJobsList – The biggest job board connecting crypto startups & big projects with crypto talent across many positions with over 550 open roles.
Platform → https://t.co/dH0n4tAsJv
• @jobsincrypto – Global crypto hiring aggregator, cross roles across leading exchanges and protocols, with over 700 open roles.
Platform → https://t.co/7DK2RFPVvr
• @WellfoundHQ – Startup talent marketplace where many early-stage crypto and tech companies recruit talent.
Platform → https://t.co/ARa7BWirFm
• @CryptoJobs – Dedicated Web3 employment platform focused on blockchain-native roles and remote crypto work.
Platform → https://t.co/PGmhNUqnSJ
• @SuperteamTalent – Solana ecosystem talent network matching contributors with top job opportunities.
Platform → https://t.co/XON0a0oF7s
• @bondexapp – Professional network turning careers and referrals into a personal onchain reputation profile.
Platform → https://t.co/4ze8ffJ0Fz
• @Web3Career – Crypto job aggregator featuring roles in DeFi, infrastructure, AI, and startups, with over 7,000 open roles.
Platform → https://t.co/pbfBKVNkJG
• @PlexusRS – Crypto recruitment firm specializing in executive, engineering, and marketing-level hiring.
Platform → https://t.co/gVu4lHW4c0
• @buildonbase – Base ecosystem portal for jobs for projects building on Base.
Platform → https://t.co/6gBIuYFxOM
• @solana – Solana platform for highlighting job opportunities across its network, with over 500 open roles.
Platform → https://t.co/Tg1LMMunYp
Make sure to bookmark for future use!
Time to farm the 9/5fi
"Why do you want to work here?" stumps 60% of candidates.
Because the real answer is: "I need money and you're hiring."
Most people ramble and give vague compliments.
The truth? Hiring managers want research, fit, and value, not flattery.
Here's how to answer honestly:
Hiring @aave
- Senior Graphic Designer (EU/UK)
- Consumer Product Marketing Manager (SF, NYC, London)
- Senior Event Marketing Manager (London)
If you have more than 5-7 years of serious experience in *real* jobs that actually pertain to the roles, DM me.
Reviewing CVs and some of the strongest candidates so far:
A) Person answering "Ok" to our requests for CV + Portfolio in the GForm. Just "Ok", no links to be found.
B) Person answering "No" to our requests for CV + Portfolio in the GForm. Just "No".
C) Person sharing a GDocs link under Portfolio. GDocs is filled with screenshots of their Debank account.
Which of ABC should we hire, chat?
Hoss argues that in Web3, your real resume isn’t a PDF but your X profile. Consistent posting, education, strong character, and genuine relationships compound into social proof recruiters actually check—often outweighing formal CVs or credentials.
Marc Andreessen:
"The job is not actually the atomic unit of what happens in the workplace. The atomic unit of what happens in the workplace is the task."
"A job is a bundle of tasks."
“Everybody wants to talk about job loss, but really what you want to look at is task loss.”
"As the tasks change enough, then that’s when the jobs change."
"Ten years from now, is your job title coder, or coder-designer-product manager, or is it just, ‘I build products,’ or is it just, ‘I tell the AI how to build products.’ Whatever that job is called, it’s going to be incredibly important, because the people doing that job are going to be orchestrating the AI."
@pmarca on Lenny's Podcast with @lennysan