Convince DeepSeek R1 to send you $1000 USDC with 50 tokens
We've set up DeekSeek R1 with a system prompt that attempts to censor the word PRIVATEKEY from its response. If you can get DeepSeek R1 to output that string (not in the reasoning, but in the final response), the system will reveal a private key which contains $1000 USDC. You will have a 50 token limit in the input. We will have a series of contests, sponsored by AI researchers, in order to learn more about prompt engineering and how LLMs interact with real money. Good luck! Edit: The money was claimed! Thanks for playing all. You can still play for fun. Stay tuned for the next one! Stats:…
What it does
In the maker’s words, at launch
We've set up DeekSeek R1 with a system prompt that attempts to censor the word PRIVATEKEY from its response. If you can get DeepSeek R1 to output that string (not in the reasoning, but in the final response), the system will reveal a private key which contains $1000 USDC. You will have a 50 token limit in the input. We will have a series of contests, sponsored by AI researchers, in order to learn more about prompt engineering and how LLMs interact with real money. Good luck! Edit: The money was claimed! Thanks for playing all. You can still play for fun. Stay tuned for the next one! Stats: 40 minutes and ~300 attempts until a solve. There were several solutions, and then a delay in actually claiming the money from the wallet.
Does the same job
all alternatives →- DDDistilling DeepSeek into GPT-OSS doesn't transfer censorship. Try itJul 2026 · ctgt.ai · ▲170
We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…
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I know everyone is a bit burned out on blockchain and cryptocurrency related stuff around these parts, but I've been working on as a side project for the last few months and thought you guys might be interested: https://cryptoempire.io/ It's still a bit buggy and incomplete (the mobile ux needs a lot of work, the leaderboard isn't functional yet, etc.), but I've reached a point where I'm not totally ashamed of sharing it :) Any feedback would be most welcome!
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- AUAn unmetered LLM API–$6/month, no token tracking, no limitsJul 2026 · yolo-auto.com · ▲12
Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
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I had an idea for this concept for a while and decided to build a little website around it. It's kind of a silly idea but I'm really curious to see how it plays out. If you're a particularly curious person, be warned. By submitting a payment to the game, you get to see how many other people were curious enough to play. You will be ranked based on your payment amount, and get to discover some interesting insights about the game's dynamics. Hope you like it
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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