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Research#Energy🔬 ResearchAnalyzed: Jan 10, 2026 09:27

Techno-Economic Analysis of a Rural Swiss Electricity Community

Published:Dec 19, 2025 17:06
1 min read
ArXiv

Analysis

This ArXiv paper provides a valuable techno-economic analysis, contributing to the understanding of decentralized energy systems. The focus on a Swiss rural community offers specific insights applicable to similar contexts.
Reference

“The study focuses on a rural local electricity community in Switzerland.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 26, 2025 14:02

Import AI 429: Evaluating the World Economy, Singularity Economics, and Swiss Sovereign AI

Published:Sep 29, 2025 12:31
1 min read
Jack Clark

Analysis

This edition of Import AI highlights the development of GDPval by OpenAI, a benchmark designed to assess the impact of AI on the broader economy, drawing a parallel to SWE-Bench's role in evaluating code. The newsletter also touches upon the concept of singularity economics and Switzerland's approach to sovereign AI. The focus on GDPval suggests a growing interest in quantifying AI's economic effects, while the mention of singularity economics hints at exploring the potential long-term economic transformations driven by advanced AI. The inclusion of Swiss sovereign AI indicates a concern for national control and strategic autonomy in the age of AI.
Reference

“GDPval is a very good benchmark with extremely significant implications”

PermalinkJack Clark
Research#LLM👥 CommunityAnalyzed: Jan 10, 2026 14:56

Swiss Researchers Launch Open Multilingual LLMs: Apertus 8B and 70B

Published:Sep 2, 2025 18:47
1 min read
Hacker News

Analysis

This Hacker News article introduces Apertus, a new open-source large language model from Switzerland, focusing on its multilingual capabilities. The article's brevity suggests it might lack in-depth technical analysis, relying on initial announcements rather than comprehensive evaluation.
Reference

“Apertus 8B and 70B are new open multilingual LLMs.”

PermalinkHacker News
Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:38

LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44

Published:Aug 28, 2017 22:43
1 min read
Practical AI

Analysis

This article highlights an interview with Jürgen Schmidhuber, a prominent figure in the AI field, discussing his work on Long Short-Term Memory (LSTM) networks and providing a historical overview of deep learning. The interview took place at IDSIA, Schmidhuber's lab in Switzerland. The article emphasizes the importance of LSTMs in recent deep learning advancements and promises an insightful discussion, likening the experience to a journey through AI history. The article also mentions Schmidhuber's role at NNaisense, a company focused on large-scale neural network solutions.
Reference

“We talked a bunch about his work on neural networks, especially LSTM’s, or Long Short-Term Memory networks, which are a key innovation behind many of the advances we’ve seen in deep learning and its application over the past few years.”

PermalinkPractical AI