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@ascendor@social.tchncs.de
2026-08-07 09:11:40

ALTER VERWALTER.
Wann haben E-Autos eine bessere CO2-Bilanz als Verbrenner? Nach 10 Jahren? Nach 5 Jahren?
IM. ERSTEN. JAHR.
news.ucsc.edu/2026/08/thinking

Their results showed that the climate benefits were generally greatest when gas-powered vehicles
were retired at year one, resulting in a 58% reduction in carbon emissions over a 16-year period. It
typically took about three years for the lower emissions of driving a battery electric vehicle to offset
the emissions required to produce it. Then the climate benefits added up quickly from there.
“What it comes down to is just that gas vehicles require so much more energy to operate,”
Campbell explained. “Only 20% of the energy in the gasoline that most of our cars burn actually
goes toward moving the vehicle — the rest is just lost as heat. So it really puts internal combustion
engines in a totally different class than EVs when it comes to efficiency, and that leads to a
situation where you want to retire the gas-powered vehicle as soon as you can.”
@toxi@mastodon.thi.ng
2026-07-24 11:50:57

Lunch Break (2026)
(High alpine carpentry, today a month ago at Breslauer Hütte... Not the worst of work places one can imagine... The mountain peak opposite, Talleitspitze, is 3406 meters...)
#LandscapePhotography #Photography

A wooden workbench standing close to the precipice in a high alpine landscape. A large mountain peak, still somewhat glaciated, is dominating the scene on the other side of the valley. Overcast moody sky, but the foreground is in the bright sun...
@carloshr@lile.cl
2026-06-24 21:51:34

El TC declara inconstitucional la revisión policial de mochilas y la restricción a la gratuidad en la ley Escuelas Protegidas | EL PAÍS Chile
elpais.com/chile/2026-06-24/el

@arXiv_csCR_bot@mastoxiv.page
2026-07-24 08:49:52

Replaced article(s) found for cs.CR. arxiv.org/list/cs.CR/new
[1/2]:
- Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
Alex Kantchelian, et al.
arxiv.org/abs/2412.06700 mastoxiv.page/@arXiv_csCR_bot/
- Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
Puwei Lian, Yujun Cai, Songze Li, Bingkun Bao
arxiv.org/abs/2505.20955 mastoxiv.page/@arXiv_csCR_bot/
- Cryptographic Choreographies
Sebastian M\"odersheim, Simon Lund, Alessandro Bruni, Marco Carbone, Rosario Giustolisi
arxiv.org/abs/2602.12967 mastoxiv.page/@arXiv_csCR_bot/
- TALUS: FIPS-204-Exact Threshold ML-DSA via Boundary Clearance
Leo Kao, Raymond Chang
arxiv.org/abs/2603.22109 mastoxiv.page/@arXiv_csCR_bot/
- SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for ...
Liu, Ying, Zhang, Zou, Zhang, Yang, Zhang, Peng
arxiv.org/abs/2605.05704 mastoxiv.page/@arXiv_csCR_bot/
- AI Security Policy Should Assess Systems, Not Only Models
Michael A. Riegler, Inga Str\"umke
arxiv.org/abs/2605.09504 mastoxiv.page/@arXiv_csCR_bot/
- Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models
Cheng Li, Jiexiong Liu, Yixuan Chen, Yi Li
arxiv.org/abs/2607.13093 mastoxiv.page/@arXiv_csCR_bot/
- From Neural Intent to Cryptographic Authorization: Securing AI-Driven Enterprise Workflows
Jiasi Weng, Jian Weng, Minrong Chen, Ming Li, Jia-Nan Liu, Zhi Li, Yue Zhang
arxiv.org/abs/2607.15596 mastoxiv.page/@arXiv_csCR_bot/
- Towards an Automated Test of LLM Security Knowledge
Shufan Chai, Liangliang Sun, Jessica Staddon
arxiv.org/abs/2607.18496 mastoxiv.page/@arXiv_csCR_bot/
- DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool ...
Navid Aftabi, Abhishek Hanchate, Satish Bukkapatnam, Dan Li
arxiv.org/abs/2508.21797 mastoxiv.page/@arXiv_eessSY_bo
- CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
Xin Yang, Omid Ardakanian
arxiv.org/abs/2512.12086 mastoxiv.page/@arXiv_csLG_bot/
toXiv_bot_toot

@primonatura@mstdn.social
2026-08-24 14:00:09

"Factcheck: 10 flaws in the Conservative report on ‘cheap power’"
#UK #UnitedKingdom #Energy #Renewables