Why do LLMs insert so many emojis into code documentation? Who in the training data was enumerating with 1⃣, 2⃣, 3⃣, 4⃣ and throwing fire emojis in readme's?

What’s the opposite of meditation? I don’t want to quiet my mind, I want a loud mind. I don’t want to clear away my thoughts, I want my thoughts to be clear. I don’t want non-attachment, I want to care deeply. Meditation makes me feel more dead, when I want to feel more alive.

OH: “When NFTs re-cycle, it will be the most hated bull run, and all of you will get caught offsides.” Real.

The Jito team is elite. Private encrypted mempool, app specific sequencing, verifiable ordering... This is a huge step towards better CLOB design on Solana.

trade stocks, crypto, and memecoins all in one platform farm the airdrop, trench, and trade with easy-to-use friendly ui check out the new features and use the link bellow to try it for yourself referral:

We just launched a huge Kinetic update! Users are now able to see both their own portfolio and the portfolios of others, our “Trenches” product is live, and stocks are now tradable (for non-US users)! DM me if you’d like an onboarding call or have feedback on how we can improve.

Three huge updates just transformed Kinetic! 1. Trenches: Discover and trade newly minted, graduating, and graduated @solana memes 2. Portfolio & Profile: Your Kinetic Portfolio doubles as a profile hub 3. Stocks Are Live: Kinetic now supports @xStocksFi Details below 🧵

YouTube's a $500b business. Why is their search bar design so bad? Is beautiful design a free lunch like @patrickc suggests? Or does design just not matter at all? It's a deep mystery to me. What users demand gets built. Why is it bland private equity slop and not cathedrals?

In PoF, Ilinski models arbitrage as the lattice-curvature in a gauge field, where "no arbitrage" conditions literally mean zero curvature. Starting from a linear plaquette action and taking the continuum limit, the gauge-invariant action collapses to Geometric Brownian Motion with time-dependent drift/volatility. In the quasiclassical saddle limit (no money-flow sources), the full gauge theory reproduces the standard Black–Scholes PDE with the usual boundary conditions, showing BS is just the leading-order term of a richer theory. Ilinski then generalizes BS with virtual-arbitrage corrections by adding a stochastic "arbitrage return" field to derive a pricing equation that extends BS into far-from-equilibrium markets. While the practical applications of gauge theory in finance are limited, I did find Ilinski’s book pedagogically useful and conceptually rich.

So much is going to change in the coming years. But what’s not going to change? In our business, users are always going to want lower prices, faster delivery, wider asset selection, better analytics, and more automation. Even in a post-AGI world this will always be true.