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sunshine vendetta

@sunshinevendetta

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sunshine vendetta
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sunshine vendetta pfp
sunshine vendetta
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own the data, train your models and cut the losses ☠️
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maybe the next crash won’t feel like a crash until it’s irreversible, it could be silent, algorithmic, and surgical. however, this isn’t pessimism; it’s the opposite, just a big "if" that could unfold if people don’t train and run their own models, relying strictly on apis without shaping the training data to strengthen them against jailbreak-injected prompts.
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a single exploit, a compromised oracle feed, or an unexpected large exit could trigger a chain reaction, with synthetic collateral structures, over-leveraged defi protocols, and cross-chain bridges acting as accelerants, turning isolated incidents into systemic failures. the liquidation cascades won’t just erase isolated assets, but may touch networks and protocols interwoven through fragile dependencies if they rely entirely on ai agents vulnerable to jailbreaks, like using only apis instead of decentralized models running locally, trained with owned datasets. signs won’t be loud until they arrive on sharp volume spikes with no narrative, sudden gaps in order books, and liquidity disappearing in real time driven by users not taking full control of their deployments.
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a black swan crypto crash may be triggered soon by ai swarm agents acting in cascade derived from a jailbreak triggering their actions to sell off massive holdings. since hundreds of trading bots are on the risk of getting jailbroken, they could execute sell orders not from fear but from cold logic, reacting to micro price fluctuations without human oversight. thin liquidity breeds perfect conditions for collapse. one agent sells due to a minor dip, another detects the shift and follows, triggering a cascade that snowballs into a full-scale liquidation event. not exactly human-driven panic; pure code amplifying volatility beyond control, now they will be able to have full portfolios under their command. shallow markets collapse first under fragmented liquidity and automated fragility.
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🫵🏻😎
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