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We mapped the 2023–2025 token launch graveyard against the SpaceX IPO: - 27 major launches, median −96% from all-time high - avg listing FDV on new listings hit $4.2B with only 12.3% circulating - SpaceX listed at $1.77T on a ~4% float, thinner than most 2024 tokens Morningstar's DCF says fair value is $780B, less than half the IPO print. The book was still 4x oversubscribed. What teams want doesn't always match reality. Check out the comprehensive research here:

https://t.co/a25Svz5ddk

The Fable bug reveals a bigger shift in DeFi security than most are acknowledging. After prior-gen models found nothing in a week, a frontier model surfaced a credible engine bug in ~1 hour. Key implications: - This is a step change in discoverability, not incremental - Attackers inherit the same capability instantly - Most "battle-tested" legacy code was only reviewed with weaker tools - Many bugs weren’t hard to exploit, they were just expensive to find until now Serious protocols should treat inherited code as un-audited and revalidate with current AI tooling. Our breakdown:

1/2 This is the part people aren't internalizing yet. The gap between "two prior-gen models found nothing in a week" and "frontier model finds a credible LOF in an hour" isn't an incremental improvement - it's a step change in what counts as discoverable. And it cuts both ways. Every attacker gets the same upgrade you just got. The moment a new model generation ships, every line of deployed code gets implicitly re-audited - by whoever runs it first. Defenders or attackers. The scarier consequence is for legacy code. Most protocols are sitting on components written years ago, reviewed with the tools of that era, and never seriously revisited because they were "battle-tested." Battle-tested against what, though? Against attackers who couldn't see what current models can see. Some of those bugs may have been sitting there the whole time, not because they were hard to exploit, but because nobody had a cheap enough way to find them. That's no longer true. If a frontier model can surface a credible engine-level bug in an hour, the rational move for every serious protocol is to treat their entire codebase, especially the old, inherited, forked parts - as un-audited and start over with current tooling. Painful, expensive, and still cheaper than the alternative.

AI isn't necessarily creating new exploit categories in DeFi, it's automating reconnaissance, vulnerability discovery, exploit logic generation, and campaign scaling on top of existing smart contract weaknesses. DeFi’s public code, on-chain economic incentives, and fork-testable environments make it especially exposed to this kind of industrialized exploitation. The result is that known vulnerabilities are becoming faster and cheaper to weaponize at scale. The threat model is shifting from novel exploits to industrialized exploitation of existing vectors. Full research here: