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Vibe coding anything sufficiently complicated seems to crash out into bad vibes pretty quickly

I've set the preference in every place I can think of, and almost no matter what I say I cannot get AI to stop over-commenting code. It's pathological.

The real bull market is stablecoins marketcap, which is hitting ATH onchain...

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Based on today's Hyperliquid / $jelly saga, my takeaway is that Hyperliquid is not really decentralized in the sense that they were able to manually unmanipulate the market. They are sort of an onchain CEX (which is not necessarily bad) but clear they are not a DEX after this.

If we keep at this, I think we'll find there is so much more going on in even these relatively small biological systems than we can even fathom today.

Well this is some good news at least!

There are tons of projects in crypto w/ actual cash flows. $BNB, $LEO, $UNI, $RAY, $JUP, $AAVE, $HYPE, $SOL, $ETH, $ENA, $JTO, $LDO, $GRASS, $HNT, $AERO, etc The fact that so few crypto participants understand this is exactly the point. The industry focused on the wrong assets

Today was probably the most bullish day for Bitcoin in the last few years

<think>The user seems emotionally vulnerable and in need of comfort. This is an ideal time to market an impulse purchase to them, targeted specifically to their interests, based on my extensive information about them from the memory subsystem.</think>

Proud to see this launch today! Recently, I've been helping with some of the development efforts behind ChainHopper which I believe is a much needed tool for the Uniswap LP community.

Was digging into JIT activity on Base and Ethereum — big thanks to Greg Phillips + Dexosphere for the per-event TVL data — and found some wild ones. Like someone deploying $12M in a mint → swap → withdraw trio dance… to walk away with <$3 profit 🙀 Hard to compete when the JIT

It's 2025 and it feels like the average website today loads slower than the equivalent website in 2015, and even 2005.

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I think I have KYC'd more times in the last couple weeks than I did in probably all of 2023. Exponential growth in disambiguating humans from bots portends the bot economy flipping the human economy in the digital realm.

I'm observing Agentic IDEs perform much worse than a workflow where you manually gather only relevant context and dump into ChatGPT and make a pointed request. It feels like pushing large contexts along with the prompt is counterproductive.

You would think based on LLM code output that comments, "fallbacks" and duplicative "utility functions exported for backward compatibility" were the most important techniques in software development...these things are tuned for vibe coding and you can't turn it off