These issues need to be actively re-examined.

Source: cryptoslate

Translated by: Blockchain Knight

The crypto asset space is currently fascinated by the concept of generative artificial intelligence and "agents," which are said to be powered by crypto asset "orbits" and coordinated through on-chain smart contracts.

This is not a good approach for a simple reason: we cannot build "agents" on the random quicksand of large language models (LLMs).

LLMs can play a role in creatively generating ideas and content (such as code), but the same creativity can manifest through malicious potential behaviors (i.e., deception).

Moreover, discussions about quantum computing (that is, moving towards post-quantum crypto and "future-oriented crypto protocols") have also become fashionable.

The currently implemented elliptic curve crypto technology does indeed carry risks.

However, the majority of the remaining surface area is at best threatened by polynomial scale, while the application of quantum technology is likely to raise all boats.

The key point is: real-world quantum computing still needs decades to develop.

As we are drawn to these shiny new things, the core design priorities, choices, and trade-offs are rusting away and may become "good enough," at which point they should be actively re-examined.

Here are 10 of them:

1. Social Consensus. If there is anything out of place in the crypto ecosystem, the concept of "social consensus" is the best example. Social consensus is how so-called community leaders manage their tribes; it has no place in crypto protocols in 2025.

2. On-chain Governance. What happened to on-chain governance after social consensus? Is it too difficult? Have we just given up? Yet, we believe we can have AI agents for on-chain governance?

3. Miner Extractable Value. Is it now acceptable for miners and block proposers to extract revenue by manipulating the priority, exclusion, reordering, or alteration of transactions in a block?

4. Oracle Problem. The oracle problem is an economic issue, no longer a technical one; has this become conventional wisdom? Is this collateral damage from the shift to "proof of stake"? Isn't this a return to the slippery slope of pseudo-centralization?

5. Centralized Stablecoins. Speaking of centralization, aren't centralized stablecoins essentially lightweight CBDCs? Since the wheels of crypto assets are lubricated by (private) centralized stablecoins, why still be "two-faced" towards (private) central banks?

6. No Such Thing as a Settlement Layer, nor L1 and L2. Any chain (including so-called L1s and alternative L1s) can become an L2 of another chain by publishing ledger data and deploying bridging contracts. We must stop the confusion and clean up the terminology.

7. Privacy. At some point, we lost the necessity for privacy protection. Perhaps the concept of "privacy pools" is precisely how crypto protocols will ultimately balance regulatory compliance and privacy.

8. Rollup. In reality, rollups are mini blockchains. Unfortunately, rollups are mostly overlooked and come with a range of issues: from multi-sig rug pulls to centralized sequencer MEV and CR, and all the problems in between. We need to comprehensively clean up the terminology and execution semantics regarding rollups.

9. Centralized Accounting and Block Building. With the development of "proof of stake" technology, we will have to face an increasing number of mergers. As private order flow dominates, this will increasingly weaken resistance to censorship. This brings us back to square one: where do permissionless and trustless go from here? Or do we not care as long as the quantity increases?

10. Public Good Funding. The digital rise has brought long-term challenges and issues in funding public goods. Crypto protocols play a unique and meaningful role in funding public goods, and this opportunity remains paramount. We need to remind ourselves that this is a highly prioritized backlog project.

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