MESH: I tried HTMX, then ditched it - Alex Moon - tech, innovation, society, games

Alex Moon is an Australian-British software engineer and artist based in the North East of England.

Translating a Fortran F-16 Simulator to Unity3D – VAZGRIZ

US Cities Are Paying Too Much for New Transit Buses

A new paper argues that lack of competition, demand for custom features and “Buy America” rules have driven up costs for transit agencies in the US.

The Beginner's Textbook for Fully Homomorphic Encryption

Fully Homomorphic Encryption (FHE) is a cryptographic scheme that enables computations to be performed directly on encrypted data, as if the data were in plaintext. After all computations are performed on the encrypted data, it can be decrypted to reveal the result. The decrypted value matches the result that would have been obtained if the same computations were applied to the plaintext data. FHE supports basic operations such as addition and multiplication on encrypted numbers. Using these fundamental operations, more complex computations can be constructed, including subtraction, division, logic gates (e.g., AND, OR, XOR, NAND, MUX), and even advanced mathematical functions such as ReLU, sigmoid, and trigonometric functions (e.g., sin, cos). These functions can be implemented either as exact formulas or as approximations, depending on the trade-off between computational efficiency and accuracy. FHE enables privacy-preserving machine learning by allowing a server to process the client's data in its encrypted form through an ML model. With FHE, the server learns neither the plaintext version of the input features nor the inference results. Only the client, using their secret key, can decrypt and access the results at the end of the service protocol. FHE can also be applied to confidential blockchain services, ensuring that sensitive data in smart contracts remains encrypted and confidential while maintaining the transparency and integrity of the execution process. Other applications of FHE include secure outsourcing of data analytics, encrypted database queries, privacy-preserving searches, efficient multi-party computation for digital signatures, and more. As this book is an open project (https://fhetextbook.github.io), we welcome FHE experts to join us as collaborators to help expand the draft.

GitHub - apple/ml-simplefold

Contribute to apple/ml-simplefold development by creating an account on GitHub.

Open Social — overreacted

The protocol is the API.

Fast UDP I/O for Firefox in Rust

Motivation Around 20% of Firefox’s HTTP traffic today uses HTTP/3, which runs over QUIC, which in turn runs over UDP. This translates to substantial UDP I/O activity. Firefox uses NSPR for most of its network I/O. When it comes to UDP I/O, NSPR only offers a limited set of dated APIs, most relevant here PR_SendTo and PR_RecvFrom, wrappers around POSIX’s sendto and recvfrom. The N in NSPR stands for Netscape, giving you a hint of its age.

my Deus Ex Lipsyncing Fix Mod: making of – joe wintergreen internet zone

mjg59 | Investigating a forged PDF