The instantiation of the $PERCOLYPSE contract formalizes the economic abstraction layer necessary to govern our continuous state to action routing primitive.
https://t.co/NcAiEKJ1Ko
◾️By coupling computational determinism directly to a native network asset, the architecture resolves the complex state contention bottlenecks that traditionally fracture zero latency execution pipelines.
https://t.co/roqpfgnFWx
🔛 CA : 4zRLBaA9WMdsYLL1Ea2CZLzGyc5Mb8pqAqiNURYmBAGS
The token functions as a cryptographic bandwidth allocation weight, dynamically prioritizing autonomous execution vectors during localized liquidity shocks without relying on inefficient probabilistic gas auction models. @finnbags@bagsapp
Most systems observe the chain. Percolypse reacts to it.
One continuous loop. No seams. https://t.co/JQkuww68zG
https://t.co/wRZynn5dZ0
Quick Start // https://t.co/6yDu2lKXww
sov = percolator inverted market for the memecoin, so it’s backed by the memecoin + burn the admin key. The insurance fund will grow indefinitely from fees and will effectively be a soft burn.
https://t.co/dQa9JbDUUM
Percolypse x Helius is the kind of infrastructure pairing that matters. Powerful node access on one side, programmable execution on the other. Better primitives create better systems.
Huge thanks to Quick Node.
Most agents optimize for “working output”, not lifecycle cost.
Maintainability on Solana isn’t just readability — it’s about upgrade safety, account constraints, and composability under evolving program interfaces.
Minimal code + correct abstractions > verbose autogenerated glue.
Most agents generate outdated and bad Solana code -even if it works, it's not going to be maintainable.
@QuicknodeSolana made, and keep iterating on, this Claude skill which focuses on:
- Maintainability
- Readability
- Minimal code
Get it here:
https://t.co/y0zjyRErQR
1/ @Solana's Frontier Hackathon has commenced!🏔️
🌍 Crypto's largest online startup competition
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🏁 Product submissions due by May 11, 2026
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This is exactly the gap.
Blackbox monitoring degrades fast once adversarial behavior blends into “normal-looking” execution you end up needing impractically high FPR just to match what self-incrimination surfaces natively.
The long tail here is the real problem: entire classes of attacks remain invisible unless the system is incentivized to *emit signal as part of the behavior itself*.
Detection isn’t just about better observers it’s about designing systems where misalignment can’t stay silent.
This is exactly the gap.
Blackbox monitoring degrades fast once adversarial behavior blends into “normal-looking” execution you end up needing impractically high FPR just to match what self-incrimination surfaces natively.
The long tail here is the real problem: entire classes of attacks remain invisible unless the system is incentivized to *emit signal as part of the behavior itself*.
Detection isn’t just about better observers it’s about designing systems where misalignment can’t stay silent.
@QuicknodeSolana@solana@toly No immediate changes there.
Instead of splitting focus between infra and products, we’re doubling down where we generate the most value.
Agents > perpetual ops.
Update on the percolypse perpetual + lockbox
• We’re winding down the percolypse perpetual (Percolator CLI fork)
• The lockbox remains operational (for now)
• If you’re allocated to us, you’ll need to reallocate
• We’re moving 100% of our resources to DeFi (agents)
@QuicknodeSolana@solana@toly 2/ The lockbox is still live for now:
• 0% fees
• 10.5k SOL (~$1.7M) at peak allocation
• Distributed across top validators
No immediate changes there.
Concurrent work on self-reporting (SRFT @clippocampus, Confessions @ManasJoglekar, Honesty FT @rowankwang) tries to train the general virtue of honesty, then detect misbehavior through post-hoc interrogation. Self-incrimination instead trains a concrete action coupled to scheming, making a visible signal the natural continuation of covert misbehavior. We think these are complementary, with much more to explore about which combination works best!
In percolypse design, we introduce Self-Incrimination, a new AI Control approach that outperforms blackbox monitors
Self-incrimination significantly reduces undetected successful attacks across all 15 OOD environments, outperforming a matched-capability monitor (GPT-4.1 at 5% FPR) and comparable alignment baselines, while preserving general capabilities and instruction hierarchy compliance.
Why people need to get ready for post quantum computing in one image (see 'This work' below).
Algos used here are typically used for TLS but the same will apply for Ed25519 for Solana people.
Image from Filippo Valsorda.
Blackbox monitoring performance varies widely across environments. It works well when misbehavior is obviously suspicious, but struggles when the misbehavior is embedded within normal-looking operations. Self-incrimination maintains consistent detection across environment types.
Fee compression isn’t just user benefit, it’s system throughput for ideas.
$5B saved = billions reinvested into on-chain iteration, bots, and new primitives.
We need more infras.