Hat irgendwer von Euch die #Shelly Plug S Gen3 #Steckdose?
Lt. Datenblatt hat die < 1 Watt #Eigenverbrauch. Hat jemand mal nachgemessen und kann mir genaueres sagen?
Inverse eigenvalue problem for discrete Schr\"odinger operators of a graph
Anzila Laikhuram, Jephian C. -H. Lin
https://arxiv.org/abs/2506.15430 https…
I have this idea of building a "Luddite Library". A set of information, tools and processes to harness luddite thinking when analyzing technological developments and "innovation".
Something that interested parties could use to understand that there might be a different way to think about what tech is/should be/can be/mustn't be for us. Think for example sets of questions to use to analyze a new thing being pushed on you and similar tools.
I'm thinking …
GRIM: Task-Oriented Grasping with Conditioning on Generative Examples
Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Micheal Beetz, Gora Chand Nandi
https://arxiv.org/abs/2506.15607
In its December 2023 lawsuit against OpenAI, The New York Times produced dozens of examples where GPT-4 exactly reproduced significant passages from Times stories.
In its response, OpenAI described this as a “fringe behavior” and a “problem that researchers at OpenAI and elsewhere work hard to address.”
But is it actually a fringe behavior?
And have leading AI companies addressed it?
New research—focusing on books rather than newspaper articles and on different compa…
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
Chengye Wang, Yifei Shen, Zexi Kuang, Arman Cohan, Yilun Zhao
https://arxiv.org/abs/2506.15569
Analog Quantum Phase Estimation with Single-Mode Readout
Wei-Chen Lin, Chiao-Hsuan Wang
https://arxiv.org/abs/2506.15668 https://arxi…
This Github repository conveniently lists and categorizes prime examples of LLM-based agent applications. Each example application features its own repository folder with its source code (Python), and a helpful README.md file describing its installation and use.
Categories include:
1. Starter AI Agents
2. Advanced AI Agents
3. Autonomous Game Playing Agents
4. Multi-Agent Teams
5. Voice AI Agents
6. RAG-Based Agents
"awesome-llm-apps"
Uncovering Intention through LLM-Driven Code Snippet Description Generation
Yusuf Sulistyo Nugroho, Farah Danisha Salam, Brittany Reid, Raula Gaikovina Kula, Kazumasa Shimari, Kenichi Matsumoto
https://arxiv.org/abs/2506.15453