Author: Michael G

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Título Original: Ann Coulter Is a TDS Suffering Shill
Publicado em Fevereiro de 2024
Créditos: Tarl Warwick, Styxhexenhammer666
Publicação Original: https://rumble.com/v4bchie-ann-coulter-is-a-tds-suffering-shill.html

Descrição Original do Autor:

2 days ago
36.2K
News
ann coulter
coulter
shill
tds
politics
trump
lol
https://archive.ph/RLJxD
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#Anncoulter #TDS

Delve into Alex Moreno’s initiative to revolutionize Drupal.org by capturing user roles to tailor the onboarding experience. This in-depth look discusses community collaboration, sustainability, and innovation, aiming to enhance contributions and user engagement within the Drupal ecosystem. Join the discussion on future strategies for a sustainable Drupal and the community’s role in driving change.

In this episode, we look at running a self hosted Large Language Model (LLM) and consuming it with a Rails application. We will use a background to make API requests to the LLM and then stream the responses in real-time to the browser. https://www.driftingruby.com/episodes/streaming-llm-responses

Release Information page.

Description: Join the FSF and friends on Friday, March 08, from 12:00 to 15:00 EST (17:00 to 20:00 UTC) to help improve the Free Software Directory.

Listen to The Changelog podcast discussing the work of the OSI, especially toward a formal Definition of Open Source AI.

Embedded software is used in safety-critical systems such as medical devices and autonomous vehicles, where software defects, including security vulnerabilities, have severe consequences. Most embedded codebases are developed in unsafe languages, specifically C/C++, and are riddled with memory safety vulnerabilities. To prevent such vulnerabilities, RUST, a performant memory-safe systems language, provides an optimal choice for developing embedded software. RUST interoperability enables developing RUST applications on top of existing C codebases. Despite this, even the most resourceful organizations continue to develop embedded software in C/C++. This paper performs the first systematic study to holistically understand the current state and challenges of using RUST for embedded systems. Our study is organized across three research questions. We collected a dataset of 2,836 RUST embedded software spanning various categories and 5 Static Application Security Testing ( SAST) tools. We performed a systematic analysis of our dataset and surveys with 225 developers to investigate our research questions. We found that existing RUST software support is inadequate, SAST tools cannot handle certain features of RUST embedded software, resulting in failures, and the prevalence of advanced types in existing RUST software makes it challenging to engineer interoperable code. In addition, we found various challenges faced by developers in using RUST for embedded systems development. ↫ Ayushi Sharma, Shashank Sharma, Santiago Torres-Arias, Aravind Machiry Some light reading.