Kvålsvoll Design

Kvålsvoll Design Kvålsvoll Design created the new generation speaker systems to bring exciting sound into our homes.

Kvålsvoll Design AS delivers product design and engineering services and developes new products and technology for reproduction of sound. We are located in Ålesund, on the north-west coast of Norway. The development of audio solutions in Kvålsvoll Design has lead to several new technologies for sound reproduction, such as the Compact Horn subwoofers, controlled directivity waveguide horns, very-high-slope crossover networks. Acknowledging the importance of set-up and calibration, a new method for subwoofer calibration has been developed, which accounts for sound-field intensity for better tactile feel. This is new, and Kvålsvoll Design is so far the only company using this method. Kvålsvoll Design AS is a Norwegian registered limited company, founded and owned by Øyvind Kvålsvoll.

12/09/2026

AI will not "end us all." At least, not yet.

Why should duplicate code from AI code generation be of any relevance to most people. I mean, most people are not software developers, right? And isn't coding all AI now? Who needs a software developer?

You just type in what you want, and the software is generated automatically. Oh, doesn't work exactly as intended? Then have the AI fix it, do a few extra rounds, they say it's easy.

Duplicate code is just one aspect of code generation that shows shortcomings. Often, when generating from scratch there will be redundant duplicate code pieces, that do the same job, but are invoked from different entry points in the ex*****on of the software.

When adding new functionality or extending, duplicate code is usually generated, even if the code to perform a given task is already implemented.

How can duplicate code a problem, then. If the software is seen as just black box, why bother with what's inside. Who cares if the code is slightly larger than necessary, it's not like it will end the world now, is it.

Duplicate code makes it harder to maintain code and difficult to test. If you make a change, toy have to make sure all duplicates also gets the exact same change, and then make sure to test each one.

Duplicate code can be avoided by using code generation in a better way. A good software architecture and structure is key.

AI is great for coding, it just needs a software developer to do software development, with the aid from AI.

No, AI will not "end us all," it is still only software automation tools, that can be used for many applications, one of them being software development.

29/08/2026

"Ork" is a Norwegian word, describing how I feel about reading this article about Mistral AI. It is a "ork" to read it.

Another one, slightly less "ork" about that one, it is about European AI's.

Less "ork", becuse it is actually moderately interesting. And perhaps relevant. Notably, Norway and norwegian companies (..are there any left in tech?) seems to be absent. Other small countries, like Switzerland, very much present.

Less than half way into the post, I have noticed interesting things. About funding, public vs private, what actually happens in projects that has a predefined end goal with a predefined completion date. Because evolution of AI and tech does not really end at a given date now, does it.

AI Models, and LLM in particular. We don't need a huge selection to choose from. Some flexibility is nice, but how different are they really, when used inside agentic frameworks tailored for some specific task.

It also seems to be difficult to get paid for models. You can run it on a online service, provide the compute, and get paid per usage. That is the current business model of AI companies. Currently, it does not look like good business. The operating cost far exceeds what they earn from those subscriptions.

So development of new models does not pay off, still, it is necessary to have access to AI models. Being able to use them in own solutions.

Back to the "ork".

Part of this being a "ork" is the distance between effort right now, and some possible future payback. Will studying and keeping myself informed ever pay back. Can I use this knowledge to develop something new and useful. Will someone find what I can offer to be of value.

23/08/2026

Where to find updates and comments and content:

https://www.kvalsvoll.com
and
https://www.kvalsvoll.com/blog/forum/

Youtube channels:
https://www.youtube.com/
https://www.youtube.com/

I now post on linkedin, and sometimes on facebook, but that may disappear. Facebook is a security problem, due to spyware and tracking, it barely loads now with the security I run.

When the VideoCall is ready for use, some unknown time in the future, it will be easy to ditch all big-tech platforms. VideoCall will handle all communication with video, messaging and content/file sharing.

Visibility and reach will be difficult, but there is barely any reach as-is, so not much of a change.

14/08/2026

We no longer want AI.

A result of wrong use of technology.

But software automation with neural networks and LLM models works, within its limitations, when applied with sense.

For a software developer, even creating applications that does not actually work, has value. Because it can still be used to see what a specific type of application usually has inside, I can look at the code, see which interfaces and protocols I may need.

I can upgrade a software to support newer versions of a framework that application depends on.

I can migrate old code to a new architecture, fully automated. Yes, it works afterwards.

Translation. Including transcription from a video. It works.

Image processing, with detection and classification of objects.

Training control algorithm parameters, such as finding feedback matrix coefficients for dynamic systems.

Manageable, smaller tasks that improves productivity, saves us time.

But none of that require large data-centers. Those AI systems run locally, on my computer, on small, dedicated models tailored to solve just one specific problem.

01/07/2026

Regulating AI:

Stupid idea from the beginning, fronted by people who has no fundamental understanding of tech.

AI is simply just another toolset for software automation, it has nothing to do with intelligence. It is not something that can be controlled by laws. It would be equal to making laws for how Kalman filtering is allowed to be used in control algorithms.

Instead, we should simplify regulations that already exist, or should exist, for protection of privacy and copyright. And actually enforce those regulations.

For machines, regulations to ensure safe operation must be based on functionality, rather than how this functionality is achieved. Self driving cars is a good example.

AI is not evil. AI does not harm. But people with malicious intent can utilize tech. Then we need laws and enforcement to prevent harmful actions, regardless what methods or technology is used to enable such.

24/06/2026

AI data centers - some misconceptions (part 2):

Not the future.

Why this demand for data centers?

Data centers with lots of computing power may be needed now, but will soon become obsolete.

The future of AI is distributed, the computing will be executed on local devices and computers, on local AI models.

Right now we see a surge in data center demand, it happened quite fast, and there are indications the top of demand may already be over. Because we see some data centers are being cancelled.

The panic is caused by service providers of AI tools, media platforms, online services, observing an increase in demand for storage and computing that can not be met by existing capacity.

As is typical for any dynamic system, there is a built-in delay in response, so when turning the dials to compensate, some restraint is usually the better approach, as it very easy to go too far, like when you panic because the temperature goes one degree below comfortable and you turn the heat up to maximum and then when you realize this is getting way too hot, it is too late and you turn off the heat completely and open the windows. A more moderate increase in heating power would work much better to stabilize the situation.

This increased demand for computing and storage is connected to AI.

Now everyone can write long texts, create pictures and even video, using chat-AI. It is easy and fast. You can even automate the whole content creation process, set it up and watch endless videos and posts being uploaded automatically.

But who is going to consume all that content.

Freedom of choice is nice, but the problem here is that each alternative to a video on one subject will be more of the same. And generally, the quality will be very poor. This content has no value at all.

The result is massive amounts of content published only to be consumed by the very same systems that created it; AI makes content that is read and viewed by AI.

Human users are the ones who pay for all this, through advertisement and subscriptions, and this will collapse when user no longer pay for a subscription on something they have no interest in watching and advertisers leave when they see their customers no longer watch the ads.

I wrote AI will evolve into more local processing. Then there is the evolution of LLM AI, which has seen an increase in performance as the models grow larger (more tokens in the model itself and in their context window), there may be low or no gain in further increasing the size, something entirely new is necessary to achieve further significant gains in performance.

20/06/2026

AI data centers - some misconceptions (part 1):

Does not bring any high-skill, high-value jobs

It keeps popping up; "New data center in Indre-Granskau brings prosperity and jobs to the community," another data-center is planned.
(While others are cancelled.. )

Data-centers do not create high-skill tech jobs. The AI or the applications or the technology is not developed in data-centers. The data center is just a place where lots of computers and hard drives are located, the location was chosen because it was cheap to build and operate there, perhaps some politician was duped to subsidize with taxpayer money.

The only skills needed for operation is to swap out computer cards and hard drives when they break.

Now, most of you already know this. But it seems like at least a few, still have no clue how computers and software and "the cloud" basically works.

The AI-thread:
https://www.kvalsvoll.com/blog/forum/topic/ai/

03/06/2026

The difference between something nice and something special that invokes emotion

On the Product Development page I focus on development for the enthusiast. For those who require that extra level of performance, products that excites and creates emotion.

I can try to illustrate this with a music sample. Same music, two different encoding qualities. One that is "good enough, you will not hear a difference", one that is lossless.

When you compare the two, switching between them instantly, the truth is revealed. The lossless is just so much better, the compressed encoded one no longer has any value. Because you will not choose to listen to that, when the lossless, better version is available.

Still don't think there is a difference? In the media room, on the F205-H speakers, I can assure you there is a difference. There is more separation, more clarity, more detail in the texture of the instruments. Differences that matters, when you listen to the music.

Lossless:
https://tidal.com/track/397021286/u

"Good enough":
https://www.youtube.com/watch?v=LJyl2D16PZY

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