Możliwości ustawień jest całkiem sporo ale i tak najbardziej przydaje się ta
😁🤜

Mapping internet fibre optic cables at the bottom of the world's oceans.
https://redd.it/15mggf6
@r_mapporn

Linux Taking the Piss Out of Windows
https://redd.it/15ohy3p
@r_linuxmemes

vim btw
https://redd.it/15qn819
@r_linuxmemes

Google chce, abyśmy nie musieli poświęcać czasu na czytanie wiadomości z kraju lub świata, a spędzali go przede wszystkim w najpopularniejszej wyszukiwarce internetowej świata. Zadaniem narzędzia - które Google nazywa "SGE podczas przeglądania" ("SGE while browsing") - jest więc robienie krótkich streszczeń artykułów znalezionych w internecie. 
https://next.gazeta.pl/next/7,151243,30080237,google-szykuje-mala-rewolucje-ai-przeczyta-internet-zebysmy.html

St Peter uses Arch BTW
https://redd.it/15tj8m9
@r_linuxmemes

Apple wydało oficjalne ostrzeżenie, aby nie spać obok ładującego się iPhone'a.

Zaleca się, aby nie umieszczać go na ciele pod poduszką lub kocem podczas ładowania. Ogólnie rzecz biorąc, lepiej jest ładować iPhone'a bez etui w dobrze wentylowanym miejscu.

"Nieprzestrzeganie tych instrukcji bezpieczeństwa może spowodować pożar, porażenie prądem, obrażenia ciała lub uszkodzenie iPhone'a lub innego mienia".

when things you type trigger a black magic
https://redd.it/15uuc22
@r_linuxmemes

I'm to Young to Be a Programmer
https://redd.it/15vwkuq
@r_linuxmemes

https://youtu.be/pslrve5DY0c?si=jQQ8ZiVeua7ZKtcr
#AI #Duch

A takie mieli ambitne plany 😁
Konkurowanie z #NVIDIA 🤔
https://ithardware.pl/aktualnosci/rosyjski_baikal_electronics_chce_konkurowac_z_nvidia_stworza_uklady_do_zadan_ai-28860.html
"Rosyjski Baikal Electronics zbankrutował, a dorobek wystawiono na aukcję. Okazuje się, że ich procesory M1 i wszystkie zapowiadane "przełomy" to przestarzałe technologie. Pozostałość po Baikal wyceniono na całe... 5 milionów USD. Wystawiona na sprzedaż technologia Baikal jest jednak przestarzała. Przykładowo, procesor Baikal-M1 opiera się na ośmiu przestarzałych rdzeniach Arm Cortex-A57, pracujących z taktowaniem 1,50 GHz, z 8 MB pamięci podręcznej L3, wspieranymi przez procesor graficzny Arm Mali-T628 z dwoma strumieniami wyświetlania. SoC został wyprodukowany w procesie technologicznym 28 nm przez TSMC. Natomiast 48-rdzeniowy układ Baikal-S SoC dla serwerów nigdy nie wszedł do masowej produkcji. Biorąc pod uwagę przestarzałość obu procesorów, wartość aktywów Baikal została oszacowana na 484 miliony rubli (5 milionów dolarów). Aukcja odbędzie się 26 września 2023 roku."
https://ithardware.pl/aktualnosci/zbankrutowal_rosyjski_producent_procesorow_baikal_electronics-29008.html

Brytyjski humanoidalny robot Ameca nauczył się rysować

Stało się to z pomocą sieci neuronowej Stable Diffusion, która jest w stanie tworzyć obrazy na podstawie opisów tekstowych.

Rezultatem jest ta ciekawa interpretacja kota.

"Jeśli nie podoba ci się moja sztuka, prawdopodobnie po prostu nic nie rozumiesz o sztuce" - arogancko oświadczył robot

Prawdziwa Ukraina 🇺🇦🇵🇱

Podatki w IT. To ile będzie „na rękę”?

Przepisy podatkowe mogą przyprawić o niezły ból głowy, to pewne. Szczególnie biorąc pod uwagę, że nawet dla państwowych instytucji ich interpretacja bywa wyzwaniem. 🙃

Z naszej analizy dowiesz się m.in.:
🔹 ile tak naprawdę zarobisz na B2B;
🔹 kiedy bardziej opłaca się „tradycyjne” rozliczenie;
🔹 jak wyglądają kwoty „na rękę” dla konkretnych wynagrodzeń;
🔹 w jakich przypadkach można odprowadzać 8,5% podatku w IT.

Przejdź do tekstu
https://nofluffjobs.com/insights/podatki-dla-informatykow-ile-tak-naprawde-zarabia-sie-w-it/
Mały disclaimer: traktuj tę analizę jako drogowskaz, ale pamiętaj, że do doradzania w zakresie najkorzystniejszej formy opodatkowania są uprawnieni wyłącznie certyfikowani doradcy i doradczynie podatkowi.

CoMSES Digest: Summer 2023
Volume 11, No. 2 March 16, 2023- June 15, 2023
Editor's Note

Since our humble beginnings in 2007 as OpenABM, the CoMSES Net team has been working to help facilitate model reuse and interoperability in service of building useful computational models more reliably and efficiently. We began with a basic model archive where scientists and researchers could share their code, documentation, and data. Over the years we’ve added services like peer review and permanent URLs / DOIs for models , provided educational content and training materials to promote good practices for computational modeling, and continued to enhance our computational model library to stay on the forefront of open and transparent computational science alongside open science initiatives like ORCID ( https://orcid.org), the Research Organization Registry (https://ror.org), DataCite (https://datacite.org), the FAIR Principles for Research Software (FAIR4RS), CodeMeta ( https://codemeta.github.io), and the Consortium of Scientific Software Registries and Repositories (https://scicodes.net).

Although there is now widespread consensus among the scientific community regarding the importance of transparently and FAIRly sharing code, documentation, and all the other digital assets needed to run a given computational model, there has still been limited progress in model reuse and interoperability. Fresh initiatives to establish Reusable Building Blocks (RBBs) for computational modeling are promising but require sustained effort from practitioners to properly document and submit their RBBs, review them, and support those who would use them in new models. The (scientific) software world has long held “software reuse” as a strongly desired and important outcome (e.g., Plug-and-Play Macroscopes ), envisioning large scale models composed of well-tested model components. Researchers and practitioners should be able to discover, evaluate and select model components and combine and validate their integrated logics against the pitfalls of Voinov and Shugart’s “Integronsters”. The unfortunate truth though is we are still quite a ways off from having a menu of swappable, reusable computational methods in the social-ecological simulation sciences. Perhaps Tolstoy’s Anna Karenina principle offers a marginally useful analogy, “All successful integrated models are alike; each unsuccessful model integration is unsuccessful in its own way”.

So what are the alike attributes of a successful model integration beyond carefully documenting your model component’s inputs, outputs, and assumptions? Let us know what you think in our RBB forums, our initial GitHub RBB template repository or drop us a private note at https://comses.net/about/contact and we’ll compile all of your suggestions (appropriately credited of course!) in an update in the next newsletter.

Best regards,
Allen Lee, Kelly Claborn, and Manuela Vanegas Ferro
CoMSES.Net Guest Editors, Arizona State University

CoMSES News
Introducing: The Make Models FAIR Curriculum
Imagine a world where models are available to build upon. You do not have to build from scratch and painstakingly try to figure out how published papers are getting the presented results. To achieve this utopian world, models have to be findable, accessible, interoperable, and reusable (FAIR). With the newly launched https://tobefair.org Initiative, we seek to contribute to moving towards this world.

We think it is important to train the next generation of computational modelers so they can incorporate the FAIR principles in their practice(projects/research). To facilitate the introduction of this topic within the different computational modeling courses led by our colleagues, we developed a comprehensive curriculum for a student group project. You can access the curriculum in this Google Doc. The curriculum provides a flexible framework where the objectives, learning outcomes and proposed schedule are outlined and can be adapted to each course's goals and structure.

By participating in this project, your students will have the opportunity to learn the basic principles of making models FAIR, gain hands-on experience with GitHub as a collaborative tool for group projects, and develop valuable coding skills through code replication and modification.
CoMSES Site Updates
CoMSES Net has undergone a major overhaul to the client-side portion of the site. While the majority of these changes operate under the hood, you will notice alterations to the look and feel of certain pages as well as more significant upgrades such as the new model archiving and release editor interface. The next time you archive a model or create a new release for an existing model you will find a new user interface that streamlines each step in the process from uploading files to managing collaborators. In addition to these minor graphical changes, this upgrade is aimed at boosting performance and laying a stable foundation for future improvements and new features. Some of the forthcoming changes you can expect to see include enhanced search capabilities across the model library and the rest of the site, a revised peer review and DOI assignment process, and more user interface improvements.

We are also grateful for the assistance of several undergraduate developers who helped to launch a new metrics page that displays CoMSES usage statistics since our inception. This page includes data on CoMSES membership as well as model submissions and interactions all displayed in interactive charts. Our student developers are now working on integrating machine learning and natural language processing modules into the CoMSES Science Gateway to help our curators deduplicate tags, perform spam detection, and more.

Please let us know what you think about the site improvements, and if you encounter any bugs or other issues please report them to us at https://comses.net/about/contact or by directly emailing us at support@comses.net.
Update your CoMSES Profile!
Please consider keeping the CoMSES community informed by updating your user account on CoMSES.Net! Let fellow researchers and modelers get to know you by including a biography, research interests, and/or institutional affiliation. Visit your CoMSES.Net user account to edit your profile and link it to GitHub and ORCID! As always, feel free to join the conversation by visiting the Forums tab or by starting a discussion on a specific model, event, or job posting.
Calendar of Events
Please follow the links to the local event organizers for the latest information or go to https://comses.net/events/ for a listing of all recent events. You can also subscribe to new events by following us on Twitter or subscribing to our RSS Events feed.
Upcoming Deadlines
Social Simulation Conference 2023 (SSC23)
Dates: September 4-8, 2023