Diverting more backdoor disasters

In the wake of the XZ backdoor, Ben and Ryan unpack the security implications of relying on open-source software projects maintained by small teams. They also discuss the open-source nature of Linux, the high cost of education in the US, the value of open-source contributions for job seekers, and what Apple is up to AI-wise. https://stackoverflow.blog/2024/04/12/diverting-more-backdoor-disasters/

Établi 18d | 12 avr. 2024 à 06:10:05


Connectez-vous pour ajouter un commentaire

Autres messages de ce groupe

Net neutrality is in; TikTok and noncompetes are out

On this episode: The FTC bans most noncompete agreements, the implications of the TikTok “ban,” why a 2017 law is hitting startups with huge tax bills seven years later, and the return of net neutrali

30 avr. 2024 à 06:50:10 | StackOverflow blog
Supporting the world’s most-used database engine through 2050

Dr. Richard Hipp, creator of SQLite, shares how he taught himself to program, the challenges he faced in creating SQLite, and the importance of testing and maintaining the software for long-term suppo

26 avr. 2024 à 05:10:02 | StackOverflow blog
Is GenAI the next dot-com bubble?

The home team talks about the current state of the software job market, the changing sentiments around AI job opportunities, the impact of big players like Facebook and OpenAI on the space, and the ch

23 avr. 2024 à 15:30:07 | StackOverflow blog
Why configuration is so complicated

Ben and Ryan explore why configuration is so complicated, the right to repair, the best programming languages for beginners, how AI is grading exams in Texas, Automattic’s $125M acquisition of Beeper,

19 avr. 2024 à 06:40:05 | StackOverflow blog
If everyone is building AI, why aren't more projects in production?

Ben talks with Shane McAllister, lead developer advocate at MongoDB, Stanimira Vlaeva, senior developer advocate at MongoDB, and Miku Jha, director, AI/ML and generative AI at Google Cloud, about the

17 avr. 2024 à 06:50:04 | StackOverflow blog
How do you evaluate an LLM? Try an LLM.

On this episode: Stack Overflow senior data scientist Michael Geden tells Ryan and Ben about how data scientists evaluate large language models (LLMs) and their output. They cover the challenges invol

16 avr. 2024 à 05:50:02 | StackOverflow blog