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sunshine vendetta pfp
sunshine vendetta
@sunshinevendetta
while ai agents make trading simple and easy to execute through text queries, they quietly introduce a structural weakness no one is really ready to confront. the ease of use, the public nature of their logic, and the obsession with dashboards, engagement, and social presence turn them into perfect prey and I'll explain why since they simulate trades before going live. they share tx previews. they brag about pnl, built to impress. running on smart wallets that are traceable, non-rotating, and easily indexable. even if pseudo-anonymous, they act like static beacons of intent. one wallet, one behavior pattern. once mapped, it’s free edge on tap with simpler front running bots ready to move when they do some use intent-based trade flows: signing off-chain and waiting for the relay. but those intents leak the trader’s entire execution logic is out in the open. slippage tolerance? visible. route path? reconstructable. token pair? obvious. time of attack? now predictable.
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sunshine vendetta
@sunshinevendetta
even worse, many of these bots simulate trades using public tools like tenderly or rely on routing engines that expose traceable tx plans. the simulation phase is supposed to be internal logic. instead it becomes a pre-trade exploit vector. the moment someone post a "buy this token for x amount,” the frontrunner could execute now, ahead. eats the liquidity. pumps the price. and leaving the bot chasing a slippage trail this is exactly what happens when bots broadcast size and delay confirmation. sandwichers may stack right in, a flashbot track the mempool flow. and the ai agent ends up entering at a premium and exiting into a vacuum, which what was meant to be automated alpha becomes subsidized exit liquidity for whoever watched faster, way ahead of copy trades, since front sandwic them is way more profitable
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sunshine vendetta pfp
sunshine vendetta
@sunshinevendetta
their creators wanted transparency which is great and also open wallets, public dashboards, community engagement, for transparency however what they built was a honeypot for predatory execution, all the text to execute trades agents give away the most critical element of trading: the silence. not just the what, but the when and how much.
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sunshine vendetta pfp
sunshine vendetta
@sunshinevendetta
leaked routes, confirmation steps and sometimes even leak simulation gas costs are both their stronger and weaker parts on the game, and every trader who understands adversarial execution knows this: transparency without defense is bait, so when they execute instructions, makes them perfect to be harvested. they’re pinned to repeat behavior, holding bags that can be tracked. they rebalance in time windows that can be monitored. and most operate under the illusion that performance = protection. wrong.
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sunshine vendetta pfp
sunshine vendetta
@sunshinevendetta
the louder the wallet, the weaker the defense. and the bots? they’re loud. they were built to be loud. so let them speak. let them simulate. let them post their positions. just make sure to get there first, of course technical knowledge is needed to execute this kind of attacks on them, but is not even that hard to get this information, and ironically when you program a front running bot what is a pain to have it working delightful is the data and trading from who in what time, but the ai trading agents effectively fulfill that hard part so is only timing and tracking them out to extract every penny from them out or at least the max value possible everytime 🫡
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