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@Hans323 Thanks, very helpful! Wishing you success in all your trades

@chilli___sauce yeah, thats a great way to phrase it

Regarding the Paris temperature market incidents, people mention two suspected instances of manipulation on April 6 and April 15. April 6: The temperature suddenly spiked in the evening and fluctuated up and down for over an hour. This spike resulted in the account “Kyrgyzhydromet” making $16.5k. The incident was discussed in a French meteorological forum and attributed to maintenance. I believe no manipulation occurred that day. The winning account is actually my alt, I noticed the temperature fluctuations early and bought undervalued shares before others reacted. April 15: The temperature again spiked suddenly, but only for a single reading before immediately dropping back to its previous level. The account “xX25Xx” made $21k. Unlike April 6, these purchases were made well before the spike. This, combined with the nature of the spike, leads me and many others to believe that manipulation may indeed have taken place. A Polymarket staff member has confirmed that the current airport will be replaced with another one. If manipulation did occur, I hope the French authorities investigate the matter and identify those responsible. Attached below is an image of the spike on April 15.

@Hans323 Okay, so you were kinda more intuitive on this account, using knowledge learned from the last year or so that you spent on weather markets?

i have to say that most of my buys were probably made without much thought, take Denver on April 12 as an example, i saw that the actual temperature was far below all forecasts, so i bought cheap shares betting that it wouldnt get that high, the market then, in my view, overcorrected 70–71F jumped to 95c, even though one forecast predicted the peak would be reached within 1–2 hours

@Hans323 Cool! I spent some hours trying to understand the strat behind that account haha, it feels very asymmetric, would be great if you talked more about it

@chilli___sauce yes

@0x_Punisher Try backsolving your pnl with /activity and compare it to the subgraph on your portfolio page. It’s wrong apparently, at least for me polymarket seems to overreport the pnl massively, was very disappointing to find out…

🚨FOR 5/15 MINUTE BOTS DEVELOPERS: Polymarket has serious bugs right now and most traders don't know why their fills look wrong. If your bot stopped performing these last 3 days, it's not you. This is a platform wide problem affecting everyone. Here is everything that's broken right now: > Ghost fills epidemic Orders showing as matched but never actually executing. You think you're in the trade. You're not. This is quietly destroying PnL for anyone running high frequency strategies. > Nonce exploit Traders cancelling orders AFTER they matched by switching wallets automatically. Someone built a bot around this and it's now widespread. > BTC orderbook exploit Users buying at 97 cents with zero balance. Order gets cancelled on blockchain but stays open in the CLOB. That's a market integrity issue on a completely different level. > UI failures on top of all that Portfolio showing undefined expiration times and wrong PnL stats. Cash out function cancelling confirmed orders randomly. A Real Madrid trade showing as won then flipping to lost with -5454% portfolio stat. A $4k position disappearing on an archived match with no settlement. Market makers are already pulling back liquidity because of all this. Rebate calculations have been wrong for 2+ weeks. Balance delays of around 1 second between mining and order placement. From my own experience, most bugs do get fixed eventually. I personally fixed 2 out of 3 that hit my setup. But right now my PnL over the last day and a half is worse than usual. Hard to say how much is bugs vs the new strategy i'm testing. Not enough data yet. Just know the platform is shaky right now so size accordingly.

@Divergent7651 Yes pls lmk when you have a fund or a research firm

If I had a fund or a research firm and was in a position to hire staff, I’d go out and hire neurodivergents, give them a cool, quiet, dimly lit office to themselves, a Claude max pro subscription, a fridge full of caffeine/bowl full of zyns, make sure they have no administrative work or social interaction, and let them loose to follow their interest and make me money with clearly defined output expectations at set intervals. Does anyone do this?

@Mineplex Finally some good news for once

Mineplex is coming back - Summer 2026.

@DanTalks1 Great article, can you source these original reports pls?

Thought i'd try a different kind of content. This is more technical than strategy. Coming from Israeli/US reports just now. I don't think anyone else has posted this.

@sharbel Sorry if missed this in another post, but how did you set up openclaw safely / from a security standpoint?

50 wins. 1 loss. $19 profit. that loss almost wiped out everything. this is the thing nobody tells you about high win-rate strategies: it doesn't matter if you win 98% of the time if your losses are 10x bigger than your wins. my bot makes ~$0.30 per win. that one SOL loss cost $29. the real edge isn't win rate. it's risk management. fixing this today.

@thejayden Can you show what a real, working terminal actually looks like?

“Polymarket dev accidentally uploaded a wife-changing money-printer bot and I managed to snatch the code.” My timeline is full of this AI Polymarket slop, all running the same recycled video, lying to you that they have some magical, working code. Most of you have never seen what a real, working terminal actually looks like. Let me tell you this: it doesn’t look pretty, it doesn’t look like that, and it definitely doesn’t have source code scrolling down the screen like an ad. Second ‘be careful out there’ post for today. Drop a follow if you want quality, scam-free posts on your timeline.

@phosphenq Did you build this? Where is this from? More info pls lol

This MoltBot setup prints money from Elon tweets fully automated i shouldn't tell you this works but here's the guide ↓

@Route2FI At what point could you leave your old job? I just started working towards this and your post is really motivating

When you're in a normal job, all you want to do is to get home, relax, and meet friends. You dream about beach vacations, and all the stuff you can't do. Simply because you are trapped in a cubicle from 9-5 every weekday, typically 48 out of 52 weeks every single year. If you're being honest with yourself, this is not your dream job, because if it were, you wouldn't dream of binge-watching Netflix on your comfy sofa instead. The thing is, when you're on your own, you stop dreaming about these holidays, because you know that you can go whenever you want, and this automatically leads to that you have no need for it anymore. The beach holiday was simply a metaphor for an escape. But now you don't need to escape. You are free. Also, at least for me, I seldom feel the need to watch Netflix, because I would rather spend my time on something work-related, it could be screening for new trades, writing on the newsletter, reading stuff other people have written, or testing a new DeFi strategy. The passion is so intense, and this is what I want to do. Watching a TV show steals time from work, which I think is even more fun. When I try to explain this to friends, they always think I am a sick weirdo. Well, this is something I wish everyone to experience in their life. A real dedication to something. And it could be anything. So if you have a dream, just follow it. If you fail, you can, 99% of the time, go back to the life you had.

@danifesto Memory

I’ll share a small part of pickle.com Back in med school, I became obsessed with augmenting memory and dreamed of a Notion or Obsidian that completes itself. Today, we’ve built something close. My self-awareness is sharper and everything feels connected. I genuinely believe AI does not replace humans. It amplifies us. Huge respect to our engineers and designers who made this crazy thing real. Bubbles are the episodic units of my life that the system interprets from my raw data. Clouds are the system’s questions, its hypotheses about who I am. When I answer a cloud, it becomes a bubble again. There is so much personal data that I cannot fully demo it. Wish I could. This system understands me more deeply than anyone. Want to try it? Retweet and comment “memory.” I’ll DM you an access code to skip the waitlist.

@readabook_ng hi (something that will change my life)

Say hi and I will recommend a book for you.

@Jennygal20 This unlocked a core memory I forgot I had

@sama I don’t understand why everyone hates on this and Sam’s other posts.

I would like to clarify a few things. First, the obvious one: we do not have or want government guarantees for OpenAI datacenters. We believe that governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or otherwise lose in the market. If one company fails, other companies will do good work. What we do think might make sense is governments building (and owning) their own AI infrastructure, but then the upside of that should flow to the government as well. We can imagine a world where governments decide to offtake a lot of computing power and get to decide how to use it, and it may make sense to provide lower cost of capital to do so. Building a strategic national reserve of computing power makes a lot of sense. But this should be for the government’s benefit, not the benefit of private companies. The one area where we have discussed loan guarantees is as part of supporting the buildout of semiconductor fabs in the US, where we and other companies have responded to the government’s call and where we would be happy to help (though we did not formally apply). The basic idea there has been ensuring that the sourcing of the chip supply chain is as American as possible in order to bring jobs and industrialization back to the US, and to enhance the strategic position of the US with an independent supply chain, for the benefit of all American companies. This is of course different from governments guaranteeing private-benefit datacenter buildouts. There are at least 3 “questions behind the question” here that are understandably causing concern. First, “How is OpenAI going to pay for all this infrastructure it is signing up for?” We expect to end this year above $20 billion in annualized revenue run rate and grow to hundreds of billion by 2030. We are looking at commitments of about $1.4 trillion over the next 8 years. Obviously this requires continued revenue growth, and each doubling is a lot of work! But we are feeling good about our prospects there; we are quite excited about our upcoming enterprise offering for example, and there are categories like new consumer devices and robotics that we also expect to be very significant. But there are also new categories we have a hard time putting specifics on like AI that can do scientific discovery, which we will touch on later. We are also looking at ways to more directly sell compute capacity to other companies (and people); we are pretty sure the world is going to need a lot of “AI cloud”, and we are excited to offer this. We may also raise more equity or debt capital in the future. But everything we currently see suggests that the world is going to need a great deal more computing power than what we are already planning for. Second, “Is OpenAI trying to become too big to fail, and should the government pick winners and losers?” Our answer on this is an unequivocal no. If we screw up and can’t fix it, we should fail, and other companies will continue on doing good work and servicing customers. That’s how capitalism works and the ecosystem and economy would be fine. We plan to be a wildly successful company, but if we get it wrong, that’s on us. Our CFO talked about government financing yesterday, and then later clarified her point underscoring that she could have phrased things more clearly. As mentioned above, we think that the US government should have a national strategy for its own AI infrastructure. Tyler Cowen asked me a few weeks ago about the federal government becoming the insurer of last resort for AI, in the sense of risks (like nuclear power) not about overbuild. I said “I do think the government ends up as the insurer of last resort, but I think I mean that in a different way than you mean that, and I don’t expect them to actually be writing the policies in the way that maybe they do for nuclear”. Again, this was in a totally different context than datacenter buildout, and not about bailing out a company. What we were talking about is something going catastrophically wrong—say, a rogue actor using an AI to coordinate a large-scale cyberattack that disrupts critical infrastructure—and how intentional misuse of AI could cause harm at a scale that only the government could deal with. I do not think the government should be writing insurance policies for AI companies. Third, “Why do you need to spend so much now, instead of growing more slowly?”. We are trying to build the infrastructure for a future economy powered by AI, and given everything we see on the horizon in our research program, this is the time to invest to be really scaling up our technology. Massive infrastructure projects take quite awhile to build, so we have to start now. Based on the trends we are seeing of how people are using AI and how much of it they would like to use, we believe the risk to OpenAI of not having enough computing power is more significant and more likely than the risk of having too much. Even today, we and others have to rate limit our products and not offer new features and models because we face such a severe compute constraint. In a world where AI can make important scientific breakthroughs but at the cost of tremendous amounts of computing power, we want to be ready to meet that moment. And we no longer think it’s in the distant future. Our mission requires us to do what we can to not wait many more years to apply AI to hard problems, like contributing to curing deadly diseases, and to bring the benefits of AGI to people as soon as possible. Also, we want a world of abundant and cheap AI. We expect massive demand for this technology, and for it to improve people’s lives in many ways. It is a great privilege to get to be in the arena, and to have the conviction to take a run at building infrastructure at such scale for something so important. This is the bet we are making, and given our vantage point, we feel good about it. But we of course could be wrong, and the market—not the government—will deal with it if we are.

@Innerdevcrypto Dream… one day I will get there!

Lying outside on the grass under the full moon.... I close my eyes and let go..... Immediately the usual floating/tingling feeling in my body intensifies...the energy amplifies enormously....normal when closing my eyes for meditation and letting go Surrender deepens even more....barely feel my body The floating tingling feeling floats out of my body, body-awareness vanishes Subtle feelings of countless souls, joy, pain, bliss, horror, peace, sorrow, contentment, all mix together while surrender deepens even more, like a spiral flowing into an infinite void Immense bliss follows, light everywhere, indescribable sensations of spaciousness, love, and connection follow while everything vanished into nothingness I open my eyes I am still lying down Walk to the beach....and put my feet in the water The tide is all the way up now while when i lied down it was all the way down 6 hours passed in what seemed like 5 minutes Tears flow down my cheeks in a calm steady stream Infinite gratitude

@felixprehn AI

Just created a complete analysis of AI infrastructure opportunities covering chip manufacturers, power companies and system integrators. I shared this analysis with my 20,000+ students. For 24 hours, it's yours for FREE. Like, RT & Comment "AI" and I'll DM it to you.

@gdb Windows when?

try agent mode in ChatGPT Atlas: