Chief Retard Officer @OmoProtocol | @neko_hl | Revolution is Coming. Decentralize Healthcare.
Joined December 2024
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192 Photos and videos
rardedd retweeted
Jun 4
We're thrilled to announce our fundraise.
We're grateful for the continued support of the new and existing backers building alongside us, @wintermute_t, @robotventures, @BigBrainVC, @cumberlandsays, @GSR_io, @greenfield_cap, @hash3xyz, @bodhi_ventures, @Kairos_Res and more.
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Gen Z got flooded with content flexing supercars and expensive watches
That shit completely distorted their expectations and perception of success
Financial success is built by being proud of your first $1k / $10k / $100k profit
not by fantasizing about a Richard Mille
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We're giving away $10,000 USDC to real creators during the event! 🌴
Top 5 posts by real reach (X views) about $CONSY the Official Unofficial Mascot of Consensus Miami 2026** will split the 10K.
Deadline: Thursday, May 7 at 12:00 AM ET
Winners announced: Friday, May 8
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rardedd retweeted
Mar 30
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rardedd retweeted
Mar 24
We think that everyone should be able to verify market data on Hyperliquid. That's why we are making complete historical data available, free, forever💧🔮
Including all HIP-3 trades, candles, and all trader positions from launch of each DEX. No paywall.
reservoir.hydromancer.xyz
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🧠DEVELOPERS - I'm open sourcing a new AI security tool tomorrow (notifications ON):
- FREE (with Claude), 1min install
- FAST, <5min runs, state-of-the-art parallelism
- FINDINGS, >150 attacks with false positives tests
- FINE-TUNED, simple, but powerful sub-agents architecture
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Be fine with the pressure and weight you put on your shoulders
When you can survive it then you can go deeper and test yourself against more pressure
Citadel CEO Ken Griffin on getting through the hardest moments of your career:
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call claude retarded
Jan 18
Rude prompts to LLMs consistently lead to better results than polite ones 😀
The authors found that very polite and polite tones reduced accuracy, while neutral, rude, and very rude tones improved it.
Statistical tests confirmed that the differences were significant, not random, across repeated runs.
The top score reported was 84.8% for very rude prompts and the lowest was 80.8% for very polite.
They compared their results with earlier studies and noted that older models (like GPT-3.5 and Llama-2) behaved differently, but GPT-4-based models like ChatGPT-4o show this clear reversal where harsh tone works better.
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Paper – arxiv. org/abs/2510.04950
Paper Title: "Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy"
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