@MonteCarloSpam That game was wild - vividly remember flipping extremely illiquid items and even craft arbing between the auction house, bazaar and other players
@Amonahan we did something similar at my internship - trade or tighten, but with one-to-one payouts (e.g. 1m pop = $100, so buying 65M = +$700). way different game - tail risk could absolutely rinse you, so it got us thinking more about the distributions rather than point estimates
march madness might've been the best thing to happen to @Polymarket - ran some basic MM strats today, but i'm hyped to improve on these in the next two weeks!
insane amounts of volume in prediction markets lately, been looking at some microstructure and I’m almost certain there’s some edge to be exploited here
@the_smart_ape@Polymarket Are you crossing spreads on both legs? Surely this requires a lot of volatility for it to be profitable accounting for slippage + can’t forget about the possibility of leg 2 never coming into play
LLMs are injective and invertible.
In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space.
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@DropperPM Kind of crazy that there’s enough exit liquidity for them to fully sell their position in the green - but also something to be said about the fact that why they haven’t already
@sdav1986 Front month might be a decent bet for the next week at least considering the upcoming fed meeting - maybe less so with inflation data being cooler but perhaps as a short term play