Assorted links for Friday, September 20:
Assorted links for Thursday, September 19:
So far, most attention to Generative Artificial Intelligence (GenAI) in software development is on generating code. But we believe there is as much, if not more, value in understanding existing code - particularly long-lived, large, and complex legacy systems.
The term “interrupt” brings to mind a signal that originates in the hardware and which is handled in the kernel; even software interrupts are a kernel concept. But there is, it seems, a use case for enabling user-space processes to send interrupts directly to each other.
At its core, Mehta began, the user-space interrupts (or simply “user interrupts”) feature is a fast way to do event signaling. It delivers signals directly to user space, bypassing the kernel to achieve lower latency.
Assorted links for Wednesday, September 18:
Microsoft has updated a key cryptographic library with two new encryption algorithms designed to withstand attacks from quantum computers.
OpenAI finally unveiled its rumored “Strawberry” AI language model on Thursday, claiming significant improvements in what it calls “reasoning” and problem-solving capabilities over previous large language models (LLMs). Formally named “OpenAI o1,” the model family will initially launch in two forms, o1-preview and o1-mini, available today for ChatGPT Plus and certain API users.
But now, a team of Stanford University scientists has finally found an agent that can reversibly make skin transparent without damaging it. This agent was tartrazine, a popular yellow-orange food dye called FD&C Yellow 5 that is notably used for coloring Doritos.
Today is a .NET focused day.
Assorted links for Tuesday, September 17:
Assorted links for Monday, September 16:
Assorted links for Friday, September 13:
Assorted links for Thursday, September 12:
noexcept affects libstdc++’s unordered_set: It may be worthwhile to investigate alternative data structure implementations like Boost.Unordered
GNU libstdc++’s hash-based associative containers change the struct layout of their nodes depending on the noexceptness of your hash function
We are introducing a new metric – real-time server fleet utilization effectiveness —- as part of the RETINAS initiative to help reduce emissions and achieve net zero emissions across our value chain in 2030. This new metric allows us to measure server resource usage (e.g., compute, storage) and efficiency in our large-scale data center server fleet in near real-time.
Privacy Aware Infrastructure (PAI) offers efficient and reliable first-class privacy constructs embedded in Meta infrastructure to address complex privacy issues. For example, we built Policy Zones that apply across our infrastructure to address restrictions on data, such as using it only for allowed purposes, providing strong guarantees for limiting the purposes of its processing.
The goal of Landlock is to enable to restrict ambient rights (e.g. global filesystem or network access) for a set of processes.
strlen().
Assorted links for Wednesday, September 11:
Assorted links for Tuesday, September 10:
boost::unordered_map in GDB, with pretty-printer customization pointsFrom your perspective as a user, an “encrypted messenger” ensures that each time you start a conversation, your messages will only be readable by the folks you intend to speak with… Telegram clearly fails to meet this stronger definition for a simple reason: it does not end-to-end encrypt conversations by default. If you want to use end-to-end encryption in Telegram, you must manually activate an optional end-to-end encryption feature called “Secret Chats” for every single private conversation you want to have.
Assorted links for Monday, September 9:
While the much celebrated ideal of a “full stack engineer” is valuable, in deep and complex systems it’s often even more valuable to create cohorts of experts who can collaborate and get really creative across the entire stack and all their individual areas of depth.
Fitness functions are a powerful automated governance technique we’ve applied to data products within the context of a Data Mesh. Since data products serve as the foundational building blocks (architectural quanta) of a data mesh, ensuring robust governance around them significantly increases the chances of a successful data mesh transformation.