Not saying that LLMs are particularly data efficient, but in their defence, they don't only learn what a human learns in a lifetime but throughout the whole evolution. There may be information encoded in our genes that LLMs need to learn from the training data
Yes 100%. Using the vim bindings for VS Code and that works great. Makes working without touching the mouse really enjoyable. Also being familiar with vim is a great fallback option if you're sshed into a remote machine.
Looks amazing! Interesting to see the fully integrated approach. Working on gitpaper.com, which takes the bring-your-own-static-site-generator (byossg TM) route.
Really like the idea of keeping content in git, especially for smaller projects.
Time will tell if we need symbolic representations or if continuous ones are sufficient. In the meantime, it would be more productive to present alternative methods or at least benchmarks where deep learning models are outperformed, instead of arguing about who said what first and criticising without offering quantitative evidence or alternatives
Sorry, I realise my comment may have sounded a bit harsh, it was not meant as a criticism of your website - just describing why I don't perceive it as minimalist design
Comparing Gwern's to your website is really interesting. I'd argue, Gwern's website is a good example of minimalist design, whereas the website you posted is the opposite.
To me, minimalist design is as little design as possible (Dieter Rams). All design elements need to serve and enhance usability/functionality of the product. That doesn't mean that the total functionality of something needs to be minimal. E.g. you can still have tags, recommended articles and a comment section.
In the website you posted, I see design elements that don't serve the usability of the website, but are there just for design sake. E.g. the background image, the colour of the toolbar or the right alignment of the text
Tangential, but I wish there was open traffic data with high coverage for planning low-traffic cycling routes. Looked at openly available aerial images, but the resolution is not high enough to detect traffic
Hey author of reloading here - cool to see this mentioned. Would love to know how reloading could be more usable for you.
Since the post on HN in 2019, reloading can also be used as a decorator to load functions from source before execution. For some use cases that may work better than the reloading loop.
Wrote a similar thing [1]. It can also load loop bodies from source before each iteration. Can be helpful for long running loops like when downloading or training deep learning models.
Joscha Bach was for sure one of my favourite discoveries this year. He seems like someone who has deeply thought about many disciplines including CS, philosophy and psychology
We could add Deep Learning to the list as "everything is a vector".
Love how the article can be interpreted as making statements about itself. The article states everything on this list is an implementation of 'everything is an X'. Or put differently, everything is an X, where X = 'everything is an X'.
[1] https://mistral.ai/news/devstral