Reading Ape

"This game is like boxing. More people end up retarded than rich." - Ye

[Orange @OrangeSBS]

The downfall of polymarket.

The team resolved the “microstrategy sells any Bitcoin by May 31” market to No.

The problem is they literally sold Bitcoin in May.

It’s not even up for debate. The filing says they sold Bitcoin. That’s a fact.

If a tree fell in the forest on May 31st, but someone didn't discover it until June 1st, then Polymarket would resolve that the tree fell on June 1st

If users can’t trust markets to be resolved based on what actually happened, the whole product falls apart.

Pretty hard to justify using a prediction market when objective facts apparently don’t matter.

This is basically free advertising Hip4 hyperliquid

Hyperliquid is just superior

[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.

[Reading Ape @apescanread]

@DrVexis @The_Airmass @Tradermayne 1-3.5m range in manhattan lol. You can get 2x the space he referenced for 50% of what he claims it costs LOL.

[Reading Ape @apescanread]

@The_Airmass @Tradermayne LMAO, I just looked and found a 5 bed, 4 bath for 3.75M. Wtf are you smoking.

[Reading Ape @apescanread]

@The_Airmass @Tradermayne Bruh, a NICE AF 3-4BR apt is 2-3m at most in most parts of manhattan. You're fried, stfu.

[KKGB @INArteCarloDoss]

🤣🤣🤣🤣

[Reading Ape @apescanread]

@rev_cap Also faded, and even reflecting on it, I would not have done it any differently. I also didn't short after that initial low though, so didn't take any loss on the bounce.

[Reading Ape @apescanread]

@fejau_inc ASSets?

[zerohedge @zerohedge]

IRANIAN MEDIA SAYS THERE WAS NO DIRECT OR INDIRECT CONTACT WITH TRUMP AND CLAIMS HE WITHDREW AFTER THREATENING TO ATTACK WEST ASIA ENERGY FACILITIES: RTRS

[LocoMotivo🇮🇱 @Moonbl0x]

niggas used to chart m2 global money supply vs wif

[KKGB @INArteCarloDoss]

Whether you like him or not, whether you thought he was a good or a bad Fed Chair, you can’t not admire the incredible fighting spirit of JPOW.

He is standing up to that fat fuck with rectitude, fortitude and a steadfastness that forces respect.

[Displacement Trades @iamdisplacement]

As an ICT Trader we don’t trade Mondays, we wait for Monday range to form.

Then we skip Tuesdays as we wait for the break of Monday range High or Low

Wednesdays a red news event so no trade.

Thursday waiting for confirmation after news event, no trade.

Friday - too close to weekend no trade day.

Saturday we review the week

Sunday we plan for the Next Week

[Quiver Quantitative @QuiverQuant]

JUST IN: Representative Josh Gottheimer just filed new stock trades.

He filed his first ever purchase of Exxon, $XOM.

Gottheimer sits on the House Intelligence Committee.

Full trade list up on Quiver.

[Reading Ape @apescanread]

@RyanDetrick except 2022 and 2025...

[Reading Ape @apescanread]

this is so insanely dumb and goes to show mfers really just be making up data on here LMAO

[Ryan Detrick, CMT @RyanDetrick]

Over the past past 20 years, the S&P 500 has bottomed for the year on March 12th.

Today is March 12.

[Marko Jukic @mmjukic]

It took six weeks for "the markets" to realize there was a global pandemic despite non-stop reports. It took six weeks for "the markets" to buy Nvidia stock despite the grandiose and public demonstration of talking computers. It'll take six weeks to realize the strait is shut.

[Reading Ape @apescanread]

Yo @ApexTradeFund think it's been long enough that GC volatility is down no? Time to turn it back on?

[Reading Ape @apescanread]

@Seniorstrategen given up on any HTF trades for this market. every time a high is swept it immediately reverses in the same day, and vice versa for lows. better to just focus on intraday and not cling to any HTF bias until market has a clear trend again, no?

[Sora-Soke @Quickiepaedia]

As a man, sometimes you have to make a choice between mocking astrology and getting laid

[Warren Pies @WarrenPies]

There is no paper solution for a physical problem…