"Bunker mode" is the phrase of the week in crypto. Justin Drake's viral post popularized it as shorthand for preparing against AI and quantum threats, and Bankless notes the phrase is about a week old. The less-told story, per Bankless's David Christopher, is a project doing the preparation in public: Eigen Labs' Yukon, an open-research effort where developers and AI agents compete to attack cryptography and improve its replacements.
Why it matters for builders: an onchain agent is, at bottom, a key plus a policy. If the signature scheme under that key changes, your wallet controls, your payment rails and your identity registry all inherit the change. Quantum timelines are an argument. Benchmarks are evidence. Yukon is producing benchmarks.
Everything below is as reported by Bankless, which is an analysis piece. Where Eigen or its partners are the source of a number, we say so.
How Yukon works
Per Bankless, Yukon has run challenges since summer 2026 and launched its platform in August. The loop is simple:
- ▸A technical problem is published.
- ▸Participants use their own skills and AI agents to propose solutions.
- ▸Each submission is tested automatically.
- ▸Improvements that pass become the baseline for the next round.
The point is that the scoring is mechanical. A submission either beats the benchmark or it doesn't, and nobody has to take a press release's word for it.
The uncomfortable one: ECDSA.fail
In March 2026, Google quantum research (arXiv 2603.28846) suggested that breaking Bitcoin and Ethereum cryptography might need far less quantum computing than previously thought. Google published resource estimates and a verifier, but, per Bankless, withheld the optimized circuits.
Eigen Labs responded with ECDSA.fail, an open challenge built on Google's verifier. Participants design and improve circuits for a key step in a potential quantum attack. Bankless reports that researchers and AI agents cut the challenge's combined quantum resource-cost benchmark by about 88% from its starting point (arXiv 2609.09582).
The caveats are in the article too: these gains are theoretical, and no existing quantum computer has run an attack at this scale. Christopher's argument is that withholding the circuits didn't remove the threat, it only made preparing for it harder. Yukon's bet is that defenders do better learning in public how cheap an attack could get. That's a position, and a reasonable one to debate. The 88% is a benchmark result, not a forecast of when anything breaks.
The defense-side challenges
Bankless lists several others. All figures are as reported there, from benchmarks and partner statements:
- ▸HashSmash (launched October 5 with Zcash, Shielded Labs and Project Eleven): researchers and agents hunt for weaknesses in hash functions such as SHA-256. So far, accepted attacks hit only simplified versions of SHA-256, not the full algorithm. More ambitious submissions are awaiting review.
- ▸sig.golf (with the Ethereum Foundation): optimizing hash-based signatures that could replace today's quantum-vulnerable ones. The leading result nearly halved the combined size-and-verification measure.
- ▸StarkWare's Bitcoin challenge: cutting GPU compute for an experimental method that protects Bitcoin transfers against quantum attacks without changing Bitcoin's rules. The first mainnet demonstration in August cost about $320 in compute; participants have reduced the estimate to $59, an 82% drop. That cheaper version hasn't yet been shown in another live transaction.
- ▸better.codes (with the Ethereum Foundation): agents help strengthen the proofs behind post-quantum cryptography. Provable security rose from 64 bits to about 68, against a 128-bit target. Read that last clause twice: the target is far off.
Results already shipping
Not everything is quantum. Bankless says the same loop has produced production changes: about a tenfold benchmark gain on Lighter.fast, with first optimizations deployed in August that roughly halved the exchange's actual proving time; MLX.fast speedups (about 2x on Qwen models, 2.6x on Poolside AI's Laguna on Apple hardware) folded into Eigen's private inference network, Darkbloom; and SNARK.fast, a Succinct and Ethereum Foundation effort that sped up a calculation used in post-quantum proofs by about 3.5x in early benchmarks, with Succinct incorporating the changes.
That's the useful tell. "Crowdsourced" claims are cheap; a deployed change in someone's prover is a receipt.
What a builder should do with this
- ▸Treat key and signature choices as a swappable layer. If your agent stack hard-codes one scheme, note where.
- ▸Read benchmark claims as claims. An 88% drop on a resource-cost metric is real progress on that metric. It isn't a date.
- ▸Watch what's replicated. The $59 Bitcoin figure is an estimate until it's shown on a live transaction.
The agent angle is the ironic bit: the same class of tooling people worry about as an attacker is, here, a contributor to the defense, in the open, with scored submissions.
What to watch
1. HashSmash: whether the pending ambitious submissions move past simplified SHA-256 variants. 2. Whether the cheaper Bitcoin method gets a second live demonstration. 3. How far better.codes gets from about 68 bits toward its 128-bit target. 4. Whether the ECDSA.fail benchmark keeps falling, and whether anyone outside Eigen independently reproduces it.
The future is not a bunker. It's a leaderboard with a test harness. Building an agent that holds keys? Map the stack it depends on at satohub.ai/build.