Lots of US states, European countries, and Australia have introduced "age verification" regulations. They present it as the classic "save the children" talking ...
In 2022, I wrote about the damning fall of events tech company Pollen. The short of it:
Pollen seemed to have pulled off the improbable feat of building a business in the notoriously low margin industry of events, surviving Covid-19, and building a solid software engineering organization. In April
Unites Rocket Lab's leading launch and satellite manufacturing capabilities with Iridium's global network, spectrum, and experience to unlock critical space applications. Adds material revenue scale and is significantly accretive to Rocket Lab's cash flow generation and profitability.
465 pointsby everfrustrated115 days ago307 comments
Samsung, SK hynix and Micron face a US lawsuit alleging memory price fixing that drove D-RAM prices up 700% over four years, with consumers seeking class-action status.
Nearly one million passports and driver's licenses from multiple countries were left unprotected online with zero password protection. Here's what happened.
The Apple Neural Engine (ANE) is the fixed-function matrix accelerator that has shipped in Apple systems-on-chip since the A11-class iPhone and iPad chips and the M1-class Mac chips, exposed to applications only through the Core ML model framework. This guide reports a reverse-engineered account of the engine, based on direct measurement on Apple silicon and static analysis of the private runtime, compiler, kernel driver, and firmware. It documents the datapath and the roofline that bound the engine's throughput and energy, the dispatch route that reaches it below Core ML, the compiler and on-disk program format, the weight-compression scheme, and the kernel driver, firmware, and command protocol beneath them. The account covers the A11 through A18 and M1 through M5 families, with per-chip target tables and an operation-by-device matrix; the direct measurements are on the M1 and M5. Claims are labeled as measured, decompile-derived, or predicted, and the methodology and open questions are recorded. The direct route is callable from ordinary user space but remains undocumented, unsupported, and version-fragile; it is intended for measurement, research, and on-device work, not for shipping software, where Core ML remains the supported path.
Model training has grown complex enough to require many specialised stages and teams, and manual coordination between them doesnβt scale. At Aleph Alpha, weβve built Savanna, a model factory that implements the entire training pipeline in code.
In this essay, Carson Gross walks through a concrete bug fix in hyperscript to show where AI helped, where it fell short, and why keeping a knowledgeable human in the loop is what kept complexity in check.
At WWDC 2025, Apple announced macOS 26 Tahoe. One of the new features in macOS Tahoe is a new disk image format: ASIF. Designed for use with virtual machines (its documentation lives under the Virtualization framework), ASIF takes a lot of inspiration from existing virtual disk formats. Practically, that means it's another sparse virtual disk format, and functions very similar to sparse VMDK, VHDX or QCOW2 files (for the uninitiated, it allow you to store a large disk, or file, in a smaller, "sparse" manner).