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🇺🇸 Prediction markets could start deciding elections instead of just predicting them. The danger is the feedback loop: a political narrative moves the betting markets → the movement becomes news → perceived momentum brings attention, credibility and potentially funding → that momentum can begin influencing the race the market...

21,534 görüntüleme • 2 saat önce •via X (Twitter)

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When I was 8 years old, growing up in Taipei, I called my aunt in San Francisco and asked: What is the best science and technology school in the world? She said MIT. I went on the internet, found it, and decided that was where I was going. All because of a Steven Spielberg movie about a little robot boy who wanted to find his mom. I grew up as an only child. What stayed with me from that movie was not just the technology. It was the possibility that one day, an artificial companion could understand how I felt. That was the first time I remember being moved by a technology that could change how humans experience reality. Years later, I did get to MIT. I studied AI before it became obvious. I became a machine learning engineer, built my first company, joined a $3.5B VC fund, left to build again, failed, started again, moved to New York alone, and built through one of the hardest crypto markets as a solo founder after the collapse of FTX. I kept going because I have always been drawn to technologies that change how humans understand the world. AI was the first version of that. Crypto and prediction markets are the next. I believe the future I am building toward is inevitable. The only question is whether I get to be one of the people who helps realize it. That future is a world where markets become information-first. The old model of trading was asset-first. It rewarded people with capital, financial education, institutional access, and better tools. But the next generation of markets will be shaped by information flow, narrative, attention, politics, culture, sentiment, and collective belief. Prediction markets make this shift obvious. They are one of the first asset classes where the value is informational, not purely financial in the traditional sense. Your edge does not have to come from technical analysis or a traditional finance background. Your edge can come from knowing something before it becomes consensus. From seeing reality shift before the market prices it in. Someone with firsthand knowledge of an unfolding event can have more alpha than an institution with a much bigger balance sheet. They turn belief into price. But price alone is not enough. Polymarket shows what the market thinks will happen. ARES is built to understand why the market is changing. We are building an information-first trading platform for prediction markets and other narrative-driven assets. One that does not just show traders what is moving, but helps them understand why odds are shifting, why narratives are forming, and why the future is moving in a certain direction. But the bigger vision is not just a better trading terminal. We want to turn every trade into an information object. Every position can become a piece of content. Every market view can become a signal. Every trader can build a reputation around conviction and accuracy. Most feeds rank information by engagement. Who got the most likes. Who already has the biggest audience. Markets allow us to rank information differently. How much are you willing to stake on what you believe? How often have you been right? That creates a fundamentally different kind of media feed. One powered by conviction, track record, and market incentives. One that becomes harder to fake. One that can help people understand not just what the market thinks will happen, but why reality is changing. I also believe prediction markets are one of the few markets where humans can still have a real edge over AI. AI knows what is already on the internet. But humans experience reality before it becomes data. We see things before they become headlines. We hear things before they become reports. We feel shifts before they become consensus. If those signals can be priced, organized, and made legible, then more people can gain access to financial opportunity, information agency, and power. That is what Ares is building toward. I spent years watching founders from the VC side of the table, always thinking: I wish that was me. Now it is. I talked about this journey and the thesis behind Ares in my conversation with Dmitry on Predict Time If you are building, trading, investing, or thinking deeply about prediction markets and information markets, I would love for you to watch it. And if you want to collaborate on what we are building, contribute to the vision, or join the team, we are always open to exceptional people across functions. DMs are open.

Morgan Lai

302,663 görüntüleme • 4 ay önce

⚽ The 2026 FIFA World Cup is shaping up to be more than just the biggest football tournament ever organized, it could also become a defining moment for the growth of prediction markets globally. ⚽🌍 With more countries participating, more matches being played, and billions of fans actively following every stage of the tournament, the amount of real time engagement around outcomes, trends, and public sentiment will likely increase massively. Events of this scale naturally create the perfect environment for prediction based ecosystems to thrive. That’s one reason why Pots Market feels especially interesting right now. Instead of positioning itself as just another betting platform, the project appears to be exploring something much broader, combining prediction markets, on chain liquidity, and community driven insights into a more interactive ecosystem. The social layer around collective forecasting and market participation could become just as valuable as the predictions themselves. What also makes Pots Money stand out is the way it connects DeFi infrastructure with events that already attract global attention organically. Rather than forcing users into complicated financial systems, it brings Web3 mechanics into spaces people are already emotionally invested in like football, tournaments, global narratives, and crowd sentiment. You suddenly have sports culture, market psychology, liquidity movement, and community participation all existing within the same ecosystem. As major global events continue to merge with blockchain based participation models, prediction markets may slowly evolve into one of the clearest and strongest real world applications of Web3 technology. And if adoption continues growing at this pace, the 2026 World Cup might end up becoming one of the biggest catalysts the prediction market sector has seen so far. Pots Money Pots Market

Chioma Chukwurah ⚛️🥷⚔️

18,702 görüntüleme • 3 ay önce

Debunking Coffeezilla’s prediction market claims In his recent video “prediction markets aren’t just gambling,” Coffeezilla made the three untrue or misleading claims below: 1) “The only way you get the news early, by the way, is if it’s insider trading.” 2) “All these prediction markets are doing is aggregating sentiment on the news.” 3) “The only way you can get something not in the news from these markets is if someone with non-news information trades, which is AKA inside information.” I want to start by saying that I’ve really enjoyed Coffeezilla’s content in the past, and I appreciate him blacking out my name in the tweet he screenshared. I also watched the full video and agreed with parts of it (and disagreed with other parts). That said, these three claims are egregiously incorrect, and I want to correct the record. I hope Coffeezilla reads this and reconsiders these points 1) “The only way you get the news early, by the way, is if it’s insider trading.” Merriam-Webster defines insider trading as “the illegal use of information available only to insiders in order to make a profit in financial trading.” This claim is wrong because it is clearly possible to get information early in entirely legal ways. For example, in CPI inflation markets, someone might notice prices rising on goods they regularly buy, or a sophisticated trader might aggregate pricing data across many products and form a forecast before the CPI release. Journalists may later report on inflation, but the information existed beforehand. Markets also react faster to sudden events, like a Trump Truth Social post or an earthquake, than journalists do. Traders are financially incentivized to react in seconds; journalists are not. Recent high-profile examples include Nobel Peace Prize, Spotify, and Time POTY markets, where traders had information before the news broke. In the Nobel case, there was disinformation claiming insider trading, but as far as most observers can tell, the information was obtained legally via web-scraping. Even if the Nobel Committee disliked it, legally obtained information is fair game. 2) “All these prediction markets are doing is aggregating sentiment on the news.” This is easy to debunk. Prediction markets do aggregate information, but not merely sentiment or headlines. That’s likely why CNN and CNBC partnered with Kalshi. News is filtered through editors, incentives, and bias. Taking headlines at face value is not a winning trading strategy. Savvy traders treat news as one input among many variables. If a headline says “Poll X shows Clinton up 10 points,” markets may adjust, but they don’t blindly price the headline. They factor in other variables. I’d argue markets are often smarter than the news. Domer❤️‍🔥 has even argued that Fed markets on Kalshi are more accurate than CME due to traders like himself making them more efficient, and I think he’s right. 3) “The only way you can get something not in the news from these markets is if someone with non-news information trades, which is AKA inside information.” Merriam-Webster defines insider information as “information not known to the public that one has obtained by virtue of being an insider.” You can obtain non-news information without being an insider. This overlaps with point one, but here’s a concrete example. For the recent TN-07 special election, I traveled to TN-07 and spoke with voters leaving early-voting sites and with everyday residents. I learned how little awareness there was that a special election was even happening, and how voters were thinking about the race. That information wasn’t in the news, but it informed how I traded. I’m not an insider. This was “alpha hunting” through firsthand observation. Almost every serious prediction market trader has similar stories. This is certainly not "insider trading." I’m genuinely curious to hear your thoughts, Coffeezilla, and hope for a good-faith dialogue. I hope you are doing well!

Benjamin Freeman

80,021 görüntüleme • 9 ay önce

🚨 DARPA SECRETLY BUILT THE BLUEPRINT FOR POLYMARKET — AND THE RABBIT HOLE IS INSANE Back in 2001, DARPA was reportedly funding research into prediction markets. Not fantasy football. Not stocks. Prediction markets for wars, coups, terrorist attacks, political instability, and major world events. The project was called the Policy Analysis Market. The idea was simple: If enough people put money behind what they think will happen, the market might become a powerful forecasting tool. The backlash was immediate. The project was shut down almost overnight. Intelligence officials reportedly argued that prediction markets could still be useful for gathering information and forecasting future events. In other words, the idea didn't die. It just disappeared. Then fast forward to 2020. A 22-year-old college dropout launches Polymarket. A platform where people bet on elections. Wars. Political outcomes. Global events. The exact type of forecasting system DARPA had been exploring nearly two decades earlier. Coincidence? One of Polymarket's earliest investors was reportedly Peter Thiel. The same Peter Thiel connected to Palantir, one of the most influential data and intelligence companies in the world. In February 2004, reports surfaced that DARPA had quietly canceled a project called LifeLog. LifeLog's goal was reportedly to create a system capable of recording and organizing nearly every aspect of a person's life. What they saw. What they said. Who they talked to. Where they went. What they did. According to reports, DARPA never fully explained why the project vanished. Now look at the timeline. LifeLog cancellation reported: February 4, 2004. Facebook launch: January 4, 2004. One project disappears. One project appears. One month apart. And now, years later, another platform emerges that looks strangely similar to an old government concept that was supposedly abandoned. Maybe it's all coincidence. Maybe every connection is random. Or maybe the public keeps being told projects were canceled when they were simply moved somewhere else. Do you think these are coincidences... or are we looking at the same system wearing different logos?

HustleBitch

17,931 görüntüleme • 2 ay önce

Chamath and Larry Summers Debate the Market Reaction to Trump's Tariffs Lawrence H. Summers: "If this is such a terrific thing, why do markets think it's so terrible for the American economy?" "Maybe the market's just completely wrong ... but the job of markets is to look forward." "It's to look passed the immediate." "It's to see what the long run consequences are going to be." "And markets are making a pretty devastatingly negative judgment on this step." Chamath Palihapitiya: " Larry, that's not true." " So let's just establish a couple facts about 'the markets.'" "Number one, there are two markets and they behave totally differently, and sometimes inversely to each other." "There's the stock market and there's the bond market." 1) Stocks: mean reversion "With respect to the stock market, what they are debating, and you're right Larry, is what is the effective long-term rate of return a dollar needs to generate in order to pay me back that dollar?" "That is what the fundamental stock market does." "And what we've seen for many years with trade imbalances, trade deficits, and close-to-zero interest rates, of which more of that happened under Democrats than Republicans, we have allowed the stock market to inflate past historical averages." " What we've actually seen happen in the last week is what most people would call mean reversion." "The stock market is still way above where it was last year, two years ago, three years ago." "What has happened is that the forward multiples have compressed. So that's number one. That's a fact." 2) Bonds: it's possible a major trade blew up "And then with respect to bonds, what we are seeing now is there are two very complicated issues." "In the last two days, we saw one part of the bond market totally get out of whack." "And what we know is that the yields changed materially in a very acute way, which is atypical of how the bond market typically digests a philosophical change in approach to policy." " What we heard in the last 24 hours is a lot of this move may have been attributed to an enormous levered bet on US treasuries by a Japanese hedge fund." " It will take three, and four, and five, and six weeks for us to really know." 3) Private credit: something to watch closely " Separately, what we do know, though, where the structural complexity of the market — and this is where, Larry, I agree with you — is acute and important to observe is in the credit markets for private companies." "And that is where you have to pay a lot of attention."

The All-In Podcast

98,290 görüntüleme • 1 yıl önce