Is it bad that I disable spectre mitigations on all my PCs to get a free double-digit-% performance boost?

This article seems to be paywalled unfortunately. While LLMs are very useful when the tasks are complex and/or there is not a lot of training data, I still think traditional NLP pipelines have a very important role to play, including when:

- Depending on the complexity of the task and the required results, SVMs or BERT can be enough in many cases and take much lower resources, especially if there is a lot of training data available. Training these models with LLM outputs could also be an interesting approach to achieve this.

- When resources are constrained or latency is important.

- In some cases, there may be labeled data in certain classes that have no semantic connection between them, e.g. explaining the class to LLMs could be tricky.

or in your case, Mary Christmas.

This really, really looks like a nullschool clone (https://earth.nullschool.net/). Is it not?

Adding an additional comment here for a little extra visibility. I would absolutely love, like really love, a USB-C portrait monitor version of this. If I could just plug this in to my existing laptop and use it for reading specs, technical docs, …etc that would be amazing.

Android tablet is a tough sell for my employer due to compliance, security, and such. So buying one of those for work use would take like a year minimum gathering all the necessary approvals and likely would still get denied by someone. But, a dumb monitor with no real OS I can expense that without approval. just a heads up to my boss really to say I am buying this and here is why.

I know you are a small company so have to pick your battles. But, maybe something to consider down the road.

EDIt: forgot to say, congrats on the launch. Looks like a great product.

I used to think the same until contemplating how many destroyed families the drug trafficking penalties of Singapore have prevented.