Tootfinder

Grüne #Jobs gewinnen an Bedeutung.
Immer mehr Menschen wechseln in Berufe mit Bezug zu #Umweltschutz und #Klimaschutz.
Viele Unternehmen schulen Quereinsteiger für die neuen Tätigkeite…

"Green Jobs": Umweltschutz eröffnet neue Berufsmöglichkeiten
Der Wandel hin zu einer klimafreundlicheren Welt ist an vielen Stellen Realität. Auch in der Arbeitswelt tut sich einiges. Sogenannte grüne Jobs sind gefragter denn je.

"Labour must create green jobs or lose voters to parties who oppose net zero, unions warn"
#UK #UnitedKingdom #NetZero

Stephen Fry: 40 Years On
Over zijn eerste Mac en Jobs en Tim en het WWW.
https://open.substack.com/pub/stephenfry/p/40-years-on?utm_source=share&utm_medium=android&r=e4myx
> What We Were L…

40 Years On
What We Were Like In Our Work And Our Play

How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index
Golo Henseke, Rhys Davies, Alan Felstead, Duncan Gallie, Francis Green, Ying Zhou
https://arxiv.org/abs/2507.22748

How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index
We introduce the Generative AI Susceptibility Index (GAISI), a task-based measure of UK job exposure to large language models (LLMs), such as ChatGPT. GAISI is derived from probabilistic task ratings by LLMs and linked to worker-reported task data from the Skills and Employment Surveys. It reflects the share of job activities where an LLM or LLM-powered system can reduce task completion time by at least 25 per cent beyond existing productivity tools. The index demonstrates high reliability, str…

Green Scheduling with Time-of-Use Tariffs and Machine States: Optimizing Energy Cost via Branch-and-Bound and Bin Packing Strategies
Ond\v{r}ej Benedikt, Istv\'an M\'odos, Antonin Novak, Zden\v{e}k Hanz\'alek
https://arxiv.org/abs/2506.10405

Green Scheduling with Time-of-Use Tariffs and Machine States: Optimizing Energy Cost via Branch-and-Bound and Bin Packing Strategies
This paper presents a branch-and-bound algorithm, enhanced with bin packing strategies, for scheduling under variable energy pricing and power-saving states. The proposed algorithm addresses the 1,TOU|states|TEC problem, which involves scheduling jobs to minimize total energy cost (TEC) while considering time-of-use (TOU) electricity prices and different machine states (e.g., processing, idle, off). Key innovations include instance pre-processing for rapid lower bound calculations, a …