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@Techmeme@techhub.social
2025-07-01 04:45:52

Q&A with Matt Mullenweg on licensing deals with AI companies, putting Tumblr's backend migration to WordPress "on hold", fediverse, content moderation, and more (Nilay Patel/The Verge)
theverge.com…

Why Automattic CEO Matt Mullenweg went to war over WordPress
The head of web publishing company Automattic on the WP Engine and the future of WordPress.

@Mediagazer@mstdn.social
2025-07-01 04:01:13

Q&A with Matt Mullenweg on licensing deals with AI companies, putting Tumblr's backend migration to WordPress "on hold", fediverse, content moderation, and more (Nilay Patel/The Verge)
theverge.com…

Why Automattic CEO Matt Mullenweg went to war over WordPress
The head of web publishing company Automattic on the WP Engine and the future of WordPress.

@dawid@social.craftknight.com
2025-08-30 21:19:07
@… Celem tego RPI jest rozszerzenie możliwości CerboGX - miałem na nim trochę automatów, ale przez to, że ten system victronOS jest immutable, to dodawanie tam czegokolwiek to była tragedia powtarzana co aktualizacje.

Wpadłem na taki pomysł jak na obrazku - małe PIzero biorące w idle ok 1-2W z różnymi <X>toMQTT i timery systemd w pythonie…
@tante@tldr.nettime.org
2025-07-05 08:40:48

Ich habe dem "Human Magazin" für ihren Newsletter ein Interview zu "KI" gegeben:
human-magazin.de/wp-admin/admi

@arXiv_csSE_bot@mastoxiv.page
2025-07-09 08:37:52

FuzzFeed: An Automatic Approach to Weakest Precondition Generation using LLMs and Fuzzing
Daragh King, Vasileios Koutavas, Laura Kovacs
arxiv.org/abs/2507.05272

FuzzFeed: An Automatic Approach to Weakest Precondition Generation using LLMs and Fuzzing
The weakest precondition (WP) of a program describes the largest set of initial states from which all terminating executions of the program satisfy a given postcondition. The generation of WPs is an important task with practical applications in areas ranging from verification to run-time error checking. This paper proposes the combination of Large Language Models (LLMs) and fuzz testing for generating WPs. In pursuit of this goal, we introduce Fuzzing Guidance (FG); FG acts as a means of dire…

@arXiv_csRO_bot@mastoxiv.page
2025-06-03 07:58:41

Evaluating Robot Policies in a World Model
Julian Quevedo, Percy Liang, Sherry Yang
arxiv.org/abs/2506.00613 arxiv.or…

Evaluating Robot Policies in a World Model
Robotics has broad applications from automating house chores to taking care of patients. However, evaluating robot control policies is challenging, as real-world testing is expensive, while handcrafted simulations often fail to accurately reflect real-world conditions, resulting in poor correlation between simulated evaluation and real-world outcomes. In this work, we investigate World-model-based Policy Evaluation (WPE). We first train an action-conditioned video generation model as a proxy to…