c/technology

Contribute to egeozgul/Incremental-3D-Reconstruction-SfM development by creating an account on GitHub. Source: https://private-user-images.githubusercontent.com/10923392/557729679-d6f48f8c-e593-481d-9b03-66bec96fd741.webp?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3ODA3MTA1NzIsIm5iZiI6MTc4MDcxMDI3MiwicGF0aCI6Ii8xMDkyMzM5Mi81NTc3Mjk2NzktZDZmNDhmOGMtZTU5My00ODFkLTliMDMtNjZiZWM5NmZkNzQxLndlYnA_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjYwNjA2JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI2MDYwNlQwMTQ0MzJaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT04MzdkMmUzYWY3ZWFmOWQxOTNkNzNhNDhmZDM0NDdjNTU4MjliMWZiYTJhZDk3YzY1NTJkMmMzNjIyZTYxNTFm

Large Language Model (LLM) code agents increasingly resolve repository-level issues by iteratively editing code, invoking tools, and validating candidate patches. In these workflows, agents often write tests on the fly, but the value of this behavior remains unclear. For example, GPT-5.2 writes almost no new tests yet achieves performance comparable to top-ranking agents.This raises a central question: do such tests meaningfully improve issue resolution, or do they mainly mimic a familiar software-development practice while consuming interaction budget? To better understand the role of agent-written tests, we analyze trajectories produced by six strong LLMs on SWE-bench Verified. Our results show that test writing is common, but resolved and unresolved tasks within the same model exhibit similar test-writing frequencies. When tests are written, they mainly serve as observational feedback channels, with value-revealing print statements appearing much more often than assertion-based checks. Based on these insights, we perform a prompt-intervention study by revising the prompts used with four models to either increase or reduce test writing. The results suggest that prompt-induced changes in the volume of agent-written tests do not significantly change final outcomes in this setting. Taken together, these results suggest that current agent-written testing practices reshape process and cost more than final task outcomes. Source: http://agents.This

Misu - Wikipedia Jump to content From Wikipedia, the free encyclopedia Grain-based Korean beverage For other uses, see Misu (disambiguation). This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.Find sources: "Misu" – news · newspapers · books · scholar · JSTOR (May 2014) (Learn how and when to remove this message) Misu Misu-garu (misu powder) Misu (Korean: 미수) is a beverage made from the traditional Korean grain powder misu-garu (미숫가루; misutgaru; 'misu powder'), which is a combination of 7–10 different grains. It is usually served on hot summer days to quench thirst or as an instant nutritious drink for breakfast or as a healthy snack. In a Joseon Dynasty (1392–1897) recipe book, misu was mentioned as stir-fried barley (gu). Gu was a delicacy of that time and easy to serve as one went to travel. Misu is made of glutinous rice and other ingredients, such as barley, yulmu (Coix lacryma-jobi var. ma-yuen), brown rice, black rice, black soybeans, corn, white beans, millet, and sesame seeds, which are ground, roasted and/or steamed, then mixed together. Misugaru is commonly added to water or milk and stirred to make a drink. Sugar or condensed milk can be added as a sweetener. The beverage is high in protein, vitamins, calcium, magnesium, molybdenum, folate, and selenium, and is a dieter's drink, as it is quite filling but low in calories.[1] See also[edit] Chatang – Gruel in Beijing and Tianjin cuisine Gofio – Toasted flour from the Canary Islands Kama (food) – Traditional Finnic dish of mixed cereal flour and milk Rubaboo – PorridgePages displaying short descriptions with no spaces Tsampa – Roasted flour for cereal References[edit] ^ Sue. "Healthy Korean Multi-Grain Shakes – Homemade Misutgaru Latte – My Korean Kitchen". My Korean Kitchen. Retrieved 19 August 2015. vteRice drinksAlcoholic Agkud Amazake Andong soju Apo Ara Awamori Baekse-ju Beopju Brem Cheongju Beopju Chhaang Choujiu Cơm rượu Dansul Gwaha-ju Huangjiu Jiuniang Kuchikamizake Lao khao Lihing Lugdi Makgeolli Mijiu Mirin Nigori Pangasi Raksi Rice baijiu Rice shochu Rượu cần Rượu đế Rượu nếp Sake Sato Shaoxing wine Soju Sonti Sra peang Tamagozake Tapuy Zutho Zu Non-alcoholic Black vinegar Brown rice green tea Brown rice tea Genmaicha Horchata Jūrokucha Mieum Miki Misu Kokkoh Rice milk Rice water Sikhye Sudan Sungnyung List of rice drinks Retrieved from "https://en.wikipedia.org/w/index.php?title=Misu&oldid=1355814791" Categories: Rice drinksKorean cuisineHidden categories: Articles with short descriptionShort description is different from WikidataArticles needing additional references from May 2014All articles needing additional referencesUse dmy dates from July 2024Articles containing Korean-language textPages displaying short descriptions with no spaces via Module:Annotated link Misu Add topic Source: https://donate.wikimedia.org/?wmf_source=donate&wmf_medium=sidebar&wmf_campaign=en.wikipedia.org&uselang=en

S&P Global said Thursday it was not changing the requirements for entry into its major indices, dealing a setback to the IPO plans of Elon Musk's SpaceX. Source: https://www.linkedin.com/company/cnbc/

OmnipodKit brings open-source Omnipod 5 support to Loop and Trio. Open beta this summer. Source: https://ddataexchange.com/

Kean Source: https://i0.wp.com/keanw.com/wp-content/uploads/2026/03/Intellivision-emulator.png?ssl=1

A local hive of Claude Code agents that message, route, and remember — coordinated by a GOD orchestrator you talk to. macOS, Windows & Linux. Source: https://github.com/chaitanyagiri/munder-difflin

The unified interface for LLMs. Find the best models & prices for your prompts Source: https://replit.com

Background Over the past week or two I've been working on a new web framework for Guile. This is based on the knowledge I've accumulated over the past 7 years working on things like the Guix Data Service, Guix Build Coordinator and Nar Herder, but also based on their code, as I've used Claude Code running Claude Opus 4.6 to build this (a large language model). I've been hesitant to try coding with LLMs so far, I still think there's plenty of reasons to be, and others have done much more thinking about LLMs and the ethical and legal implications of using them to write software. This blog post definitely isn't an argument for using these tools, but my "excuse" if you call it that, is that I wanted a Guile web framework to both use for existing and new projects, and this was an approach to get there faster and with the limited amount of motivation I have at the moment. Introducing Safsaf Safsaf, or Guile Safsaf if you prefer, is a web framework for Guile, built around using Guile Fibers and the Guile Knots web server. It's only ~1800 lines of code, and the largest part is the router, deciding which handler should respond to requests. The Guix Data Service handled routing using match on the method and path components, and this works pretty well, but for a long while I've wanted a more declarative approach to routing. One where the code could introspect the routes and generate links or even API specifications. Another important property of having routes as data is that it allows applying handler wrappers to the routes and the handlers that they reference. This is the model that Safsaf uses for middleware or functionality that you want to apply across some or all of the web service. Safsaf comes with a number of useful handler wrappers and functionality like logging and exception handling is implemented as handler wrappers. I think it's also important what's not included. In comparison to GNU Artanis (which I did try using for the Guix Data Service many years ago), there's no inbuilt support for talking to databases, database migrations, a Model View Controller design or file based templates, and for all these things, I don't currently see a good reason to include support for them. I would like to look at what can be included for internationalization support, as I think that's important. I'd also like to look at what's required for Server Sent Events (SSE) and WebSocket support, particularly as the Build Farm Front-end (BFFE) uses Server Sent Events. The Safsaf Git repository includes a couple of example apps which you can run, a paste-bin and a blog site. There's inevitably some issues with the code, and there's probably some issues with the design as well, but my hope is that this is a good starting point. If you have any comments or questions, please reach out to me via email at mail@cbaines.net, raise an issue on Forgejo, or contact me on the Fediverse. Source: https://codeberg.org/guix/data-service

Personal website of Arjun Virk Source: https://www.arjunvirk.com/writing/ml-guide

Aviation Herald - News, Incidents and Accidents in Aviation Source: https://avherald.com/h?article=53a14f7c

A better concept model and more efficient tools for editing spoken word audio. Source: https://bsky.app/profile/asolove.myatproto.social

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Introduction A tight employment market, economic uncertainty, and the rising (and often clumsy) use of artificial intelligence in hiring have coagulated into a witches’ brew of turmoil for job seekers. Recently, job applicants have been haunted by a new specter rising from the electronification of hiring: “ghost jobs,” or online job listings by real companies advertising […] Source: https://twitter.com/share?url=https://www.columbialawreview.org/content/ghost-jobs/&text=GHOSTJOBS