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ASIF is a sparse virtual disk format for macOS Tahoe geared toward virtual machines and similar to VMDK, VHDX, and QCOW2 in concept but with its own layout and header structure. The researcher walks through building a parser by generating a test ASIF image, inspecting hexdumps, and reverse engineering DiskImages2's diskimagescontroller binary to recover header fields, directory offsets, and chunk metadata. ASIF uses directory tables of 64‑bit entries, grouping chunk pointers with embedded allocation bitmaps so each table directly mixes mapping and bitmap data, which affects how offsets map to chunks. Finally refines the math for translating a virtual disk offset into table index, chunk index, and flags, then points to a working implementation in dissect.hypervisor for practical parsing and forensic use.

An AI superforecaster is an AI modified to be good at forecasting. This usually involves a scaffold that handholds the agent through a long research process. There are now several companies that claim to have AI superforecasters with incredible performance and results. They appear to be making crazy profits on prediction markets and beating the stock market by some comfortable amount.

Simon Taylor argues that OpenUSD is not trying to beat Circle or Tether on existing stablecoin volume, but to unlock the institutional and payments flows that have stayed offchain because of issuer concentration, mint/burn fees, reserve economics, and lack of neutral governance. The piece frames OpenUSD as shared financial infrastructure backed by 140 companies, designed to make stablecoins usable for acquiring settlement, cross-border institutional payments, and capital markets cash settlement where neutrality, interoperability, and velocity matter more than issuer float economics.