Satoshi Scoop Weekly, 9 May 2025
🍨 Your weekly bite of the latest updates from the Bitcoin ecosystem!

Search for a command to run...
🍨 Your weekly bite of the latest updates from the Bitcoin ecosystem!

No comments yet. Be the first to comment.
Take a bite out of the latest weekly updates in the Bitcoin ecosystem. We've got the scoop on what's cooking in the blockchain kitchen. All things #POW and #UTXO.
🍨 不可错过的每周比特币生态深度速览
🍨 Your weekly bite of the latest updates from the Bitcoin tech ecosystem!

🍨 不可错过的每周比特币技术生态速览

🍨 Your weekly bite of the latest updates from the Bitcoin tech ecosystem!

🍨 不可错过的每周比特币技术生态速览

🍨 Your weekly bite of the latest updates from the Bitcoin tech ecosystem!

On this page
Introduced in 2014, OP_RETURN allows small pieces of data—like timestamps or short messages—to be included in Bitcoin transactions, serving as a lightweight method to store limited information on-chain. Over time, the size limit was reduced to prevent spam, before settling at the current 83 byte-limit.
Peter Todd recently proposed removing the limit entirely. He argues that the restriction fails to deter misuse and instead complicates things, as it pushes developers to use workarounds—like scriptsig or unspendable outputs (such as storing data in unspendable Taproot outputs)—to embed media, spam, or arbitrary data, which bloats the UTXO set.
Pieter Wuille, who also supports lifting the OP_RETURN cap, points out that standardness policies can’t truly stop well-funded entities from broadcasting data-heavy transactions directly to miners. The network is strong and block space is always full—even without spam, so those rules are no longer as useful.
In short, those in favor of removing the OP_RETURN limit argue that the restriction is futile, and that alternative data storage methods within blocks already exist in abundance.
On the other side, opponents believe the limit must stay, as using OP_RETURN to store arbitrary data violates Satoshi’s intent and Bitcoin’s purpose as a financial network (Luke Dashjr). Other opposing voices include:
Here for more perspectives on this debate.
Pieter Wuille compares three cluster linearization strategies—SFL (spanning-forest linearization), GGT, and CSS (candidate set search)—and follows up with benchmark results for each.
ColliderVM protocol is StarkWare’s research effort on a BitVM alternative. It retains the same trust assumptions but without needing fraud proofs, thus eliminating fraud-proof time window. Researchers use ColliderVM to sketch a trustless bridge design to a L2 network, aiming to scale Bitcoin with a rollup-like design and enabling more functionality and privacy.
The paper: ColliderVM: Stateful Computation on Bitcoin without Fraud Proofs
And a talk: Bitcoin Horizons: from OP_CAT to Covenants
A report from the Cambridge Centre for Alternative Finance (CCAF) finds that 52.4% of Bitcoin mining now uses green energy. Of that, 42.6% comes from renewables such as hydro and wind, while 9.8% comes from nuclear.
Kraken recently uncovered a North Korean hacker attempting to apply for a job. They’ve shared insights on how to detect and prevent such actors at various stages of the hiring process.
A threshold signature scheme allows distributing a signing key to n users, such that any t of them can jointly sign, but any t−1 cannot. It is desirable to prove adaptive security of threshold signature schemes, which considers adversaries that can adaptively corrupt honest users even after interacting with them. For a class of signatures that relies on security proofs with rewinding, such as Schnorr signatures, proving adaptive security entails significant challenges. This work proposes two threshold signature schemes that are provably adaptively secure with rewinding proofs. Our proofs are solely in the random oracle model (ROM), without relying on the algebraic group model (AGM).
Read the full paper.
In a new post titled Simplifying the L1, Vitalik suggests simplifying Ethereum’s base layer by moving from EVM to RISC-V (or another minimal VM), adopting Simple Serialize, and embracing Tinygrad’s coding philosophy.
Key impacts of this shift include: