0xkydo

Other than zkSync, I don't believe anyone has made significant progress on a complete privacy stack.

The checks and balances in L1s are beautiful.

Stakers: Congressional - Control financial resources

Operators: Judicial - decides what is the network by picking version of the node software

Network Developers: Executive - Implement the changes to node software

If Hyperliquid has shown anything is that product obsession outweighs narrative in trading.

Why? Because your target customers are sophisticated traders who can smell bullshit from miles away.

The next new exchange won’t be built on retardio narrative but on real product differentiations.

At CRCL’s P/S ratio, Hyperliquid would be trading at ______

At CRCL’s P/S ratio, Ethereum would be trading at ______

At CRCL’s P/S ratio, Solana would be trading at ______

had an interesting chat with my legal friends about "credible neutrality"

here's the twist: "being maximal censorship-resistant and credibly neutral" might be the least neutral stance

why?

by prioritizing censorship resistance, you're taking a strong political stance valuing individual sovereignty over shared morality

consider this: imagine irrefutable evidence of some address's owner committing horrible acts like child trafficking

do you ban their address or not?

not censoring at the base layer is an extreme position in the tradeoff between individual rights and collective ethics

some might argue it leans towards moral relativism - by not banning them, it is suggesting no absolute right or wrong exist

i'm not entirely sold on this view, but it offers an intriguing perspective on credible neutrality

thoughts?

who has the best data platform for indepth l2 analysis?

i am looking for
- cost structure of transactions (base/prio split) across time and periods
- fee volatility
- med/avg fee by txn type (swaps/transfers)

50MB/s might not seem like much at first glance
but when you scale it up, it's mind-blowing

for 1 yr, that's 1,576,800,000 mb of data, enough to support
- 1.3 trillion uniswap swaps
- 7.8 trillion erc20 transfers

for context, visa only processed 0.233 trillion txns in 2024

converting consumer founders to crypto with this one simple trick

reading the whitepapers for swarm-style / decentralized ai training protocols this week and i’m stunned by what isn’t in them: determinism.

gpu inference is famously flaky - tiny fp32 reorderings, atomics in convolutions, tensor-core down-casts, multi-stream races - all add up to different logits on the “same” forward pass. the literature is full of workarounds (cuDNN deterministic modes, ticket-lock kernels, frozen engine builds), yet none of that shows up in the glossy dtrain papers.

why care? if every peer in a mesh spits out slightly different gradients, good luck reaching onchain consensus or proving an honest contribution. verification costs explode, slashing logic breaks, and the whole “trust-minimized training” slogan starts to feel like an ideal than implementation.

so, crypto-ml twitter: who’s actually tackling non-determinism in a distributed, adversarial setting? any papers / blogs i should read? analogies to other consensus layers? drop links below

I just found out EigenDA is the only alt-da provider supporting both USDC and USDT, shoutout to @celo

It's clear now, the DA layer matters to institutions and EigenDA is ready for real-world payment adoption!

just spent an awesome day at stanford

half the time was giving a lecture on intersubjectivity, the other half meeting folks buzzing about crypto

shoutout to @0xfishylosopher for building a solid undergrad crypto scene and competing with ai

everyone's pumped, curious, and full of passion

feeling super optimistic about stanford crypto's future!

i think your feelings on this sentence reveal a lot

if you're disgusted, you likely view crypto as a political tool first, tech second

but if you're grateful for stopping the hack, you see it as a tech tool first, political tool second or not at all

NYC is the capital of crypto

feeling optimistic about crypto today

- stablecoin legislation passed in senate
- sec taskforce doing gods work
- solana announces new consensus protocol
- coinbase fighting to keep circle from ripple

good day

Crypto needs to rely less on carbon-based intelligence and more on silicon-based intelligence

Less multisigs, more AI

Dream bigger

Crypto needs to rely less on carbon-based intelligence and more on silicon-based intelligence

Less multisigs, more AI

as xrp gets its etf approval, the prestige of having a crypto etf is mostly gone

this is net negative for ethereum and hugely positive for bitcoin

the first crypto etf and the rest of them