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@iprofitx

1 sol and a dream was all i needed

Solana 加入时间 Mayıs 2024
227 关注362 粉丝
StickMan (GünaL Şen)
StickMan (GünaL Şen)@0xstickman·
So which exchange will be the first to list this token? If you don't list this token you are on the side of the paralysis. Nobody wants paralysis to win. Fuck paralysis. Choose Poor with @neuralink
Nick O’Neill@chooserich

So which exchange will be the first to list this token? If you don't list this token you are on the side of cancer. Nobody wants cancer to win. Fuck cancer. Choose Rich. solana:5hiLgyybrAYPpUwNFa38agfZ8iEtnahWKAPixcfspump

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iprofit@iprofitx·
@0xstickman Lmao, 4h ago you refused fees and said you only support stickdao
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Ryan Hart
Ryan Hart@thisdudelikesAI·
A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts. So she ran a study. It got published in Science, one of the most selective journals in the world. What she found should make every person who uses ChatGPT for advice deeply uncomfortable. Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations. The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead. Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described. The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding. The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months. Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight. Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now. She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.
Ryan Hart tweet media
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iprofit
iprofit@iprofitx·
@elonmusk Thank you Elon for making grok @imagine It's so much fun, just made asteroid land on the moon😂
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Elon Musk
Elon Musk@elonmusk·
@UN_Women Please define precisely what is a woman. XX chromosomes?
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UN Women
UN Women@UN_Women·
Let women be. Let women lead. Let women thrive. Let women speak up. Let women represent. Let women live peacefully. Let women express themselves. Let women control their bodies. Let women live.
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mert
mert@mert·
i) zec and hype surpassing ada is a good sign of nature healing ii) sol and hype combined is less than xrp. there'll be time for infighting but I suggest the focus be on dethroning CEXes and dentist coins iii) zcash
mert tweet media
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toly 🇺🇸
toly 🇺🇸@toly·
@aaalexhl It was a spot market in 2023. They literally just launched the perps program.
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iprofit
iprofit@iprofitx·
@elonmusk Didn't know using grok @imagine is so much fun Asteroid landing on the moon😂
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iprofit
iprofit@iprofitx·
@SolportTom what if we send dogcoin instead of dogecoin? feel like dogcoin would be funny
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Tom
Tom@SolportTom·
We might actually be back
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Tom
Tom@SolportTom·
Tokens with 2x marketcap and 5x the volume have the same LP depth as balance tokens. Pretty wild to think about
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Chubby♨️
Chubby♨️@kimmonismus·
ClippyBot in office365 incoming? Clawdbot-hype reaches Microsoft - and want to build something similar themselves CEO Satya Nadella is personally testing rival AI agents and pushing teams to accelerate development, even leveraging models from Anthropic itself, as the battle to own the “digital co-worker” heats up—especially on Windows, where Microsoft sees a strategic edge.
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iprofit@iprofitx·
@quantsdks thank you to those who listened, posted at 50k
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iprofit
iprofit@iprofitx·
@quantsdks NGL chart dropped after he posted and it wasnt even bundle sell off, seems like legit mistake
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