HN user
Just looked through the entire website to answer this question. Seems like they only accept english books :( "Types of ebooks we don’t accept: - Non-English-language books. Translations to English are, of course, OK." (https://standardebooks.org/contribute/collections-policy)
Well, the bigme hibreak pro might be what you are looking for
Bigme Hibreak Pro is currently the better option imo. Especially for those who want it to be even more phone-like
This phrasing seems to suggest they think they invented the idea of "TikTok but it's Wikipedia".
The author is giving credit. Literally the opposite of your interpretation.
I had the same idea in my notes app dated a couple years ago.
On the other hand this seems as if you now want to claim to be the inventor of the idea?
It would be imo worse if the information just gets lost once 23andMe shuts down. Make genome and health information open access.
If it feels hard to reason on, it might be a hint... Sales people provide value. Maybe a sales person would have told this project to focus on being an alternative to Notion or Google Docs, as they are different apps/use cases.
The only reason why they might need less developers is because they are a copying an existing product, so less R&D. There is no reason to assume that the teams behind Notion, Outline, Google Docs ... are less effective than the French Government.
Obsidian is on a fundamental level a very different app to Notion (you already mentioned the web app, databases, ...). It is also not even close to being "hackable to the core", it is not open source. That title belongs to Emacs.
All the people who were working on Notion now can go get some on the job training to learn to farm.
This would only work if the government replacement would be more efficient than Notion (in the sense that the French government employs less people for a product of the same quality).
Several companies have tried to "reproduce" Notion and have failed. I don't like or use Notion but that is just extremely ignorant of the USP behind it. Dunning–Kruger much?
Do people really really agree with "Shorthand constructs that combine statements decreases difficulty"? The author even identifies a problem with the example from the original guide.
This is my main problem with Ecosia as well. I don't believe planting trees is really a good option to help the climate and I have zero trust in tracking progress of those projects in a lot of countries. I would much rather them e.g. investing in solar or sponsoring open source projects.
... because AI Chats are consuming more energy than search? This is a flawed argument. Internet search also started out using more energy than looking up things in your local library, so maybe we should go back to that?
There is no way around increased AI usage. Would be great if Ecosia plays a key part in its adaption to balance it with environmental goals.
With Ecosia I always have to think about the actual impact of planting trees. Imo there are better options to help the climate. And I have zero trust that tracking progress in some countries is really possible. But better than nothing.
I am using Ada atm. Not a "modern" language but I believe it might have a great future :)
Some comments below someone claimed the opposite... do you have any studies?
Well, the author did not reference any actual studies. But some people here have shared an effect on their general impulse control. Do you have any pointers to good studies about this effect?
Because the author assumes that the drugs are not only anti-obesity drugs but impulse controlling
Is GLP-1 really changing general impulse control? But I do buy the argument. If impulse controlling drugs are going to be effective, the economic impact is basically not quantifiable... not only the economic impact but it would change society as a whole in extremely fundamental ways (e.g. dating)
Looks like I might be the minority, but I disagree with this prediction. Better models will also be better at abstracting and we have seen several examples (e.g. the paper LIMO: Less is More for Reasoning) that with a small amount of training data, models can outperform larger models.