Bookmakers for AI models. A new “sport” for speculators was created


The most visible platforms today for betting AI models are Kalshi, regulated in the USA Event Contracts and PolyMarket, operating globally and based on cryptocurrencies. In the background, however, the Lmrena rankings are pulsing, which actually decide some of these plants.
Importantly, it's not a curiosity anymore. The volume in the markets has grown in recent weeks to several dozen million dollars per monthand the markets of the “best model” react to the premieres just as violently as stock courses after the results of the companies.
The mechanics are simple, although it can be treacherous for new players. Each contract is valued in centers from 0 to 100 and behaves like a probability course. For example, 63 cents mean that the market values the result at 63 percent. Opportunities and prices change over time, so You can earn both on hitting the result and selling the contract more expensive when the course goes towards us.
The novelty is that some markets refer directly to Lmrena. “The best model this month” or “Who will be number 1 at the end of 2025” is decided on the basis of the scoreboard from this website. It creates A common language between the world of benchmarks and markets – and immediately translates into the price of contracts at each large premiere. In June and July, individual markets for PolyMarket had multi -million turnover, and Kalshi was opened and closed on the Lmrena table every day.
Check also: Wall Street in the “WE WE ARE, WE WILL SEE”. Stock Exchange without a special reaction after the Trump -Zełenski meeting
ChatgPT-5 allowed bookmakers to earn
Dynamics are best seen with loud premieres. After the presentation of ChatgPT-5, investors switched from some operating OpenAI to a definite plant that Google would bring a higher quality of AI quality in the arena. Such shocks feed speculation, because some search for signals in the announcements of managers and playful posts on X, others follow changes in repositories and metadata applications, hoping that they will read “smoke from the chimney” of Nowy Gemini or ChatgPt before.
Special offer
It happens that it is profitable – Traders' profiles pulling five -digit amounts from individual movements are quite commonbut equally often euphoria goes out as soon as she fired. The risk is considerable.
Who are the players? On the one hand, we have information sharks, i.e. technical analysts, researchers, programmers with three monitors who combine information advantage with discipline. They can convert rumors from Discord into a specific trade in a few hours and roll up the position before the market is saturated. On the other – a group of casual technology lovers is growing, who simply like artificial intelligence and spend several minutes a day on research. Both groups live in the same ecosystem of the hints: website X, Discussion forums, chats and – most important – Lmrena website, where AI models tests are published.
The greater the turnover, the more the information advantage matters, and the impression for amateurs is growing. This is a well -known rule that economists have been observing in predictive markets for years.
Who and how much can he earn? The average answer is “as much as you are worth being earlier and know more.” Speculars who acquire thousands of contracts of 40 cents and sell 87 after one day are able to make five -digit profits in one day, and in the annual and high turnover and hard risk discipline – build six -digit results. Examples of such traders appear in market relations and show that The sum of thousands of small advantages can give a serious annual result. But this is not a rate of return for free, but the effect of hundreds of transactions, continuous monitoring and readiness to quickly exit the position. At the same time, the market is ruthless. Each center of one side profit is someone's loss, and a mistake in the interpretation of the ranking or exaggerated faith in a tweet of a celebrity-programist can reset profits.
Check also: Monthly passive income from the stock exchange better than renting apartments? Three dividend wallets to choose from
Access will not be possible from anywhere
The legal framework is no less important, because they decide who can play legally at all. Kalshi acts as a registered contract of contracts supervised by CFTC and after a series of legal disputes obtained green light for a wider offer of events. This also opened the road to AI.
PolyMarket remains technically inaccessible to US users, although the platform tries to return to this market legally. Apart from the US, it is widely used. From the user's point of view, this means that the American audience today has regulated access primarily to Kalshi, and the rest of the world – also to crypto -based markets. In any case Players must take into account local gambling and financial regulations.
Why do these markets attract so much attention? Because AI lives in the rhythm of public leagues and spectacular premieres, and the information spreads quickly. Just one entry of the influential CEO, one unexpected result on the Lmaren board or a new plugin of the new model in Google apps, so that the courses go up or down. At the same time, the history of recent months has also shown a darker side – hot discussions about the credibility of the benchmarks, accusation of “tuning” of models for public versions or ambiguities around what exactly went to the scoreboard to Lmrena. For the market, it is fuel for variability and an additional reason to approach signals with a cool head.
Check also: ChatgPT-5 is a failed product. And it was supposed to be [OPINIA]
AI bookmaker with AI
The greater the turnover, the greater the reward for reliable information, and the smaller for accidental intuition. Not only people enter the game, but also The bots that scan news, development implementation and discussions at an unattainable pace. The adjustable nature of the market part – as in the case of Kalshi – makes the plants move from the gray zone to the mainstream, and investors and media begin to treat the course to the best model as a fast mood barometer in the AI world race.
As long as public rankings will be the heart of the Social Quality Test for AI models, and the new versions will fall to the arena every few weeks, for so long contracts on who is number 1 will remain the most nervous and spectacular corner of the predictive markets.
Finally, practical attention. AI markets teach two iron rules. First: understand the rules of the decision – in many cases a very specific line of Lmaren decides with specific settings. Second: Trade information, not emotion. When the market pays for knowledge, just tracking trends with a delay is a recipe for giving advantage to those who know something before.
Note: The valuations and content included in the text are only informative and do not constitute recommendations for the purchase or sale of financial products.
Author: Grzegorz Kubera, Business Insider Polska journalist




