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by mishaderidder.eth12017 🥝1dorb.club
@peerxyz: PeerAuth evolved from payment proofs to Peer Verify identity
by mishaderidder.eth12017 🥝24hfirefly.social
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Formal methods, the final boss
by rvolz.eth1257 🥝5h
@Eli5defi
@Eli5defi

$23.5B in prediction market notional traded in March 2026. In a single month. @Kalshi drove $13B. @Polymarket followed with $10.5B. And now @HyperliquidX’s HIP-4 could eclipse both, living up to its name: The House of All Finance. Here’s our comparative analysis. ⤵ — ➠ Kalshi - The Regulated Exchange Kalshi is what you get when prediction markets go through the U.S. regulatory process and come out the other side. ▸ You sign up, verify your identity (KYC required), deposit real USD, and trade yes/no contracts on events like elections, Fed rate decisions, or sports outcomes. ▸ Each contract pays $1 if the event happens, and $0 if it doesn’t. You buy at the current implied probability, then sell before expiry or hold to settlement. ▸ Kalshi resolves outcomes using predefined reference sources. Fast. Centralized. Reliable. ▸ Fees are straightforward: roughly $0.0175–$0.02 per contract near 50¢ probability, dropping toward zero at the extremes. ▸ The constraint is real: Kalshi can’t list markets on war, death, or anything the CFTC considers off-limits. Its market catalog is narrower by design. ▸ What it does well: $13B notional in March 2026. The largest regulated volume. Institutional trust. Fiat on-ramps. If compliance matters to you, there’s no alternative. — ➠ Polymarket - The Crypto-Native Market Polymarket runs on Polygon but plans to migrate to its own layer soon. Anyone with USDC (soon Polymarket USD) and a crypto wallet can trade, as long as they’re not in blocked countries. ▸ Connect a wallet and buy YES/NO shares on any listed market. Share price = implied probability (60¢ = 60% chance). ▸ No KYC for global users. No geographic restrictions outside limited U.S. access. ▸ Anyone can create a market. That’s the power, and also the risk. ▸ Settlement goes through UMA’s Optimistic Oracle, the Markets Team, and Chainlink Oracle: a proposer submits the resolution, there’s a dispute window, and if contested it goes to a community vote. It works most of the time, but can take hours to days when outcomes are genuinely ambiguous. ▸ The fee structure is more complex. Fees are parabolic: near-zero at extreme prices ($0.01/$0.99), but steep in the mid-range. ▸ At 50% probability, the round-trip cost hits 1.80% on Crypto markets and 1.50% on Sports. Geopolitics is the only zero-fee category. Finance markets have the highest maker rebate at 50%. ▸ What it does well: $10.5B in March 2026 volume. Broadest market variety on earth. Permissionless. Transparent on-chain trades. The go-to platform for global, crypto-native event trading. — ➠ HIP-4 - The Composable Primitive HIP-4 is Hyperliquid’s native outcome contract system, built directly into the same trading engine that handles $178B+ in monthly perpetual volume. As of April 2026, it’s still on testnet, but the architecture is worth understanding now. ▸ Contracts trade between 0 and 1. Price = implied probability. At expiry, they settle to 1 (event happens) or 0 (it doesn’t). ▸ You post 100% of your maximum possible loss upfront. No leverage. No margin calls. No liquidation risk, ever. ▸ Settlement is on-chain and deterministic, using curated reference data, resolving in ~0.2 seconds on HyperL1. No dispute window. Here is the part that changes the math on everything else: ▸ Every position you hold on Hyperliquid: spot, perpetuals, and now outcome contracts shares one unified margin account. ▸ The system automatically recognizes offsetting risk. If you hold a short ETH perp and a YES outcome contract on “ETH rallies above $X,” those positions reduce each other’s margin requirements automatically. ▸ Your outcome position isn’t dead capital. It functions as collateral across your broader portfolio. ▸ Every other prediction market silos your capital. Your $500 in Polymarket is invisible to the rest of your trades. On HIP-4, that same position stays alive and productive inside your full account. ▸ Fees follow Hyperliquid’s volume-tiered structure: very low at base (0.045% taker / 0.015% maker), compressing further for active traders. ▸ Fees apply only on close or settlement, not on open. Builders who deploy permissionless markets in Phase 2 earn up to 50% of the fee revenue generated. ▸ Phase 2 permissionless deployment requires staking 1,000,000 $HYPE tokens as a bond. That creates three simultaneous effects: a supply sink for HYPE, aligned builder incentives, and a filter against low-quality market creation, without central gatekeeping. — ➠ Bottom Line Kalshi wins for regulated, fiat, U.S.-friendly trading with strong liquidity in politics/sports. It is the most “institutional-grade” but constrained by rules. Polymarket dominates crypto-native volume and variety globally. It offers the most open market creation today but faces oracle delays and fee friction in high-uncertainty events. HIP-4 is the most innovative structurally. It turns prediction markets into a composable primitive inside the world’s largest perp DEX. The unified margin + no-liquidation design solves the biggest pain point of traditional prediction platforms (dead capital). Once on mainnet with permissionless markets, it could pull high-volume DeFi traders who already trade billions in perps on Hyperliquid.

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kazani@kazani

Oracle and the Rise of the AI Surveillance State Under Trump While Peter Thiel's firm Palantir has rightfully gained the ire of the American public, Larry Ellison's Oracle is also steadily becoming entangled with the US governmentand that should worry all Americans. ➡️ tl;dr Oracle is expanding its influence through Artificial Intelligence (AI) technologies, strengthening its relationship with the US government under the Trump administration. Oracle pledged $100 billion to the Stargate AI project, announced by Trump, aimed at building data centers to power AI initiatives. Oracle signed the Ratepayer Protection Pledge, committing to cover the increased electricity costs for AI data centers, potentially lowering energy prices for communities. Trump's National Policy Framework for Artificial Intelligence includes recommendations for age-assurance requirements for AI platforms accessed by minors, raising concerns about potential biometric age verification and an internet ID. The framework also proposes preempting state AI laws to establish a national standard, limiting states' ability to regulate AI development. Key figures involved in the AI framework, Michael Kratsios and David Sacks, have deep connections to Peter Thiel and Palantir, and are part of Trump's newly formed Presidents Council of Advisers on Science & Technology (PCAST). Other PCAST members include tech leaders like Larry Ellison, Mark Zuckerberg, Sergey Brin, and Jensen Huang, suggesting a focus on policies benefiting Big Tech companies and expanding the surveillance state. Oracle announced multiple AI deals with the Trump administration, including an AI Data Platform for the US Federal Government and expanded AI infrastructure options. Concerns about Oracle's data handling practices are heightened by a past lawsuit where the company paid $115 million to settle accusations of illegally collecting and selling personal information. Oracle co-founder Larry Ellison has a long history of government ties, including the CIA as its first customer, and has previously advocated for national ID cards and the use of AI for surveillance to ensure citizens behave. https://www.thelastamericanvagabond.com/… https://t.me/kazanireads

farcaster.xyz
by @kazani359 🥝4hfarcaster.xyz
kazani@kazani

Scott Aaronson: https://scottaaronson.blog/?p=9668 "Imagine that every week for twenty years, people message you asking you to comment on the latest wolf sighting, and every week you have to tell them: I haven't seen a wolf, I haven't heard a wolf, I believe wolves exist but I don't yet see evidence of them anywhere near our town. Then one evening, you hear a howl in the distance, and sure enough, on a hill overlooking the town is the clear silhouette of a large wolf. So you point to it and all the same people laugh and accuse you of "crying wolf." Now you know how it's been for me with cryptographically relevant quantum computing."

farcaster.xyz
by @kazani359 🥝4hfarcaster.xyz