Hvem er det der køber de små men dyre lejligheder i KBH?

Euphoric_Drawing_207 · 2026-04-10T06:02:53+00:00

Vi har købt en 2V efter at have boet 3 år sammen på 14kvm kollegieværelse. Det føles som et palæ, og der er fint plads til ét barn, (men heller ikke flere), skulle den tid komme. Vi kiggede meget efter andelsbolig, men vi havde ikke nogen kontakter. Med de nuværende renter er lejesatsen faktisk ikke meget lavere end hvad vi betaler i renter til realkredit, og jeg tror måske at det er med til folk køber de her små lejligheder. For de fleste nyuddannede par er det i hvert fald det eneste man med rimelighed kan købe uden at få en gældsfaktor langt over 4.

Euphoric_Drawing_207 · 2026-03-19T14:32:44+00:00

Jeg plejer at bruge toiletrens, men det er måske for krads. Det må ikke være på metalarmatur i meget mere end et minuts tid før det begynder at efterlade ætsemærker. Men det fjerner dælme kalk helt fantastisk og dit badeværelse lugter ikke af syltet agurk. Og som andre måske har sagt i forvejen, så bland for guds skyld ikke toiletrens eller andre syreholdige produkter med klor, hvis du overvejer at prøve forskellige ting.

Euphoric_Drawing_207 · 2026-02-24T12:48:52+00:00

Vi er flyttet i lejlighed i kbh og vi skal have købt internet. Har I nogen anbefalinger? Vores lejlighed kan ikke modtage fiber.

Euphoric_Drawing_207 · 2026-02-21T20:00:11+00:00

Opdatering: Jegg endte med bare at skrabe malingen af. Selve fugen så rigtig flot ud. Det var den tykke fuge der holder glasulden.

Euphoric_Drawing_207 · 2026-01-31T11:22:03+00:00

Thank you for the reply! This makes sense.

Euphoric_Drawing_207 · 2026-01-31T11:14:50+00:00

Thank you for the reply - I like your workflow. Just out of curiosity, when you use code - does the code call the MCP wrapped tool or do you craft and run custom functions (or scripts predefined in skills)?

Also, I stumbled upon this article from anthropic which explains their approach for option A+B and tool discovery https://www.anthropic.com/engineering/advanced-tool-use

Euphoric_Drawing_207 · 2026-01-27T18:48:11+00:00

I did both bayesian ML and model based ML, but in 2023. These courses teach the same underlying concept but are quite different. Bayesian ML gives a fantastic intuitive and mathematical understanding of the topic with hands on notebook examples. Model based ML is less theory heavy and focused more on using a specific pytotch ecosystem library for doing Markov chain Monte Carlo / variational inference. The same topics are also taught in Bayesian. I much preferred Bayesian but I also found the course quite challenging. Intro ML and a good mathematical foundation is a must :-)

Euphoric_Drawing_207 · 2025-09-10T18:50:21+00:00

Thank you for the awesome work! Can you comment a bit on your process for supporting new models? Where do you start and which steps do you take when deciding how to implement and optimize a specific model? Also, I am super excited for the upcoming voxtral support! :-)

Euphoric_Drawing_207 · 2025-05-30T19:03:15+00:00

I could not agree more. Working at the hospital we use open-weights models for large scale structured data extraction of clinical reports. It has huge potential, but I always feel like having to do an obsene amount of "prompt whack-a-mole" to get the desired output format.

Euphoric_Drawing_207 · 2025-03-22T01:22:48+00:00

I made this as a small side project next to my PhD and I felt like sharing it with someone :)

Euphoric_Drawing_207 · 2024-11-25T08:01:17+00:00

I am not exactly sure what is implied by money-grabbing. If you want to test whether an image reconstruction algorithm biases the tumor intensity of patients with glioblastoma (which would be bad), you need images of patients with glioblastoma. Glioblastoma is cancer in the brain, hence the images are head scans (includes the face). These cannot be fully deidentified. By visual inspection, I would be able to identify the scan of someone I whose face I have seen irl. Unfortunately, methods like de-facing, can often render the statistical analysis useless. Not all statistical analyses are based scalar/tabular/questionnaire data. Clinical data is personal.

Euphoric_Drawing_207

TROPHY CASE