DataDaoDe

yes, a lot indeed. Even some very rare adoptions that almost never happen in languages (like the pronoun they). My most favorite has to be window though from the Old Norse vindauga (vind = wind, auga = eye).

right now its in webrtc

Sure you could. I'm not, I don't think its in the spirit of local first. And I wouldn't pay money for that, but if you or someone else wants to build that kind of software - its a free world :)

Yes a thousand percent! I'm working on this too. I'm sick of everyone trying to come up with a use case to get all my data in everyone's cloud so I have to pay a subscription fee to just make things work. I'm working on a fitness tracking app right now that will use the sublime model - just buy it, get updates for X years, sync with all your devices and use it forever. If you want updates after X years buy the newest version again. If its good enough as is - and that's the goal - just keep using it forever.

This is the model I want from 90% of the software out there, just give me a reasonable price to buy it, make the product good, and don't marry it to the cloud so much that its unusable w/out it.

There are also a lot of added benefits to this model in general beyond the data privacy (most are mentioned in the article), but not all the problems are solved here. This is a big space that still needs a lot of tooling to make things really easy going but the tech to do it is there.

Finally, the best part (IMHO) about local-first software is it brings back a much healthier incentive structure - you're not monetizing via ads or tracking users or maxing "engagement" - you're just building a product and getting paid for how good it is. To me it feels like its software that actually serves the user.

The language in this article is filled with so much emotion and hyperbole - major red flags for bias- it’s hard to take it seriously. That being said mainstream economists don’t have a great track record when it comes to making predictions, the only problem is, neither do any alternatives. I am certainly no economist but the more I learn the more I think, just predict they’ll be wrong and you’ll probably do alright.

The interesting questions happen when you define X, Y and Z and time. For example, will llms be able to solve the P=NP problem in two weeks, 6 months, 5 years, a century? And then exploring why or why not

OP does have an exaggerated statement - its not like there aren't laws in Russia or something and I largely agree with your sentiment. I think there are levels to this though and its pretty clear that Russia is much riskier than the USA when it comes to IP - just look up anything to do with insuring IP risk in Russia (here's one such example: https://baa.no/en/articles/i-have-ip-in-russia-is-my-ip-at-r...)

Also according to the office of US trade representative, Russia is on the priority watch list of countries that do not respect IP [1] and post 2022, largely due to the war, Russia implemented measures negatively effecting IP rights. [2,3]

If you think it isn't the case and Russia is just as risky as the US when it comes to copyright and IP, I would be interested to know why.

1. https://ustr.gov/about/policy-offices/press-office/press-rel... 2. https://www.papula-nevinpat.com/executive-summary-the-ip-sit... 3. https://www.taftlaw.com/news-events/law-bulletins/russia-iss...

This is a nice library and a really big time savings part of the litestar ecosystem. The litestar community has been really great and helpful in my experience so a big thank you to all the guys and gals over there!

I can't speak for France, but for Germany, unfortunately, by most metrics that matter (affordable housing, infrastructure, subjective well-being, energy costs, labor markets, etc.) compared to 20 years ago, yes. However, compared to most other countries, Germany is still doing quite well. So it all depends on the context for how you interpret the data.

[1] https://www.imf.org/en/News/Articles/2024/03/27/germanys-rea... [2] https://en.wikipedia.org/wiki/German_economic_crisis_%282022...

Germany has tons of potential, but Germany is one of the most risk averse countries on the planet (see Uncertainty Avoidance Cultures)[https://en.wikipedia.org/wiki/Uncertainty_avoidance]. This makes it amazing at building high quality industrial products, taking innovation done elsewhere and refining and polishing it, slowly over many years - building standards as you say. However, it doesn't help much in the innovation department. Also as probably the world leader in data privacy and protection that's another vector working against innovation. And then there is the robust legislation and bureaucracy (in a controlling sense) around all financial products (not to mention in general), which gives Germany advantages in certain industries but is also a distinct disadvantage for innovation in many sectors. There is also a massive union culture, which provides Germans with a great quality of life, but again, that's something probably negatively correlated to innovation.

I'd like to see more innovation in general and if this leads to that its good. But I don't personally think that innovation needs to happen in Germany, so long as it happens somewhere and Germans can do what they do best with it.

Agreed. If memory serves, most studies have shown marginal effects ~ 5%, particularly for strength. The benefit of creatine it seems at least partially, is the marginal benefit of being able to squeeze out a few extra reps per week

> What if all of these unemployed people spend their savings on lawyers and sue ...

This happens. There are people who work together with lawyers to send in applications knowing they are not looking for a job but looking for the ability to sue in any part of the application process. Sadly, this is also a reality of the world and unfortunately cannot be chalked up to a silly worry.

Sadly, if incentives aren't aligned, I'm of the opinion not much will change.

Let's suppose there were a no liability clause for employers when giving feedback, they could say we didn't hire you because we didn't like you or because you were too short, or whatever they wanted. In that case, companies could tell the truth and would have nothing to lose. However, the question would remain - what do they have to gain? To this end, if an applicant could purchase a feedback review, then companies would have something to gain as well.

I'm not saying we should do any of this, I'm just trying to sketch a scenario in which some systematic rules exist which might get both parties to be more aligned on "giving true detailed feedback".

Basically it mostly boils down to liability I think. Companies can basically only lose from providing true feedback, so its an incentives issue and they are just not aligned here.

The Old Man and the sea - Hemmingway - so many things, with every reread I find something new.

The Heart of the Buddhas Teaching - Thich Nhat Hanh, useful prayers, concepts for understanding and dealing with life and a moral compass for going through it.

The Way of Zen - Alan Watts, opened my eyes to different forms of religious experience

Also a lot of psychology and philosophy books in undergrad were foundational to my thinking. The Moral Animal, the Moral Landscape, The Blank Slate, The Republic and Plato’s writings on Socrates, Tao te Ching, Meditations by Marcus Aurelius, the Tanakh and parts of the Talmud, but many of these were more academic, still holistically they have shaped my thinking and moral compass.

Here's a thought: as long as some countries somewhere have enough freedom to innovate, and entrepreneurs can leave their countries and get to the freer ones, countries like Norway can piggyback off all the innovation from others (or outsource it). I think it would only be a problem if for some reason there was technology that couldn't be copied.

In my experience the data and statistics that you want to know here are typically proprietary and the knowledge is internal and in "human brains" as well - not out there on the internet. So for these cases, since its not a matter of crawling but having access to the data or human experts. I'd be interested to know how your incorporating all that and what benefits you get from LLMs.

Just out of curiosity about the gaming journalism you are talking about, what gaming era did you grow up in? For instance, for me it was the mid 90s to early 2000s, the days of the demo cds, etc. Somehow the whole watching other people play games movement missed me, not saying that's good or bad, maybe its just an artifact of my own life and has little to do with my generation in general.

Keep a “decision“ journal. Write down your reasons for your choices. Make predictions and observe the results. Revisit weekly.

I did this and it helped me enormously. Not only understanding actions/outcomes of myself and others but also flaws I had in tons of my own mental models and behaviors.

I would also recommend listening to the „You are not so smart“ and „beat your genes“ podcasts. Both will reference papers and books that provide further reading materials.

As far as books go, I got a lot from Nassim Talebs work and the great mental models series.

For those interested, Gary Stevenson has an interesting take on what is causing this, even though his view is focused on the UK market: https://www.youtube.com/watch?v=kNUNR2NZvFM

I like the shove it to the nearest 10 approach. It makes a lot of calculations much simpler b/c they can be transformed to a simple multiplication by 10 and a addition or subtraction or two.

1. 6⋅7 = (6⋅10) - (6⋅3) = 60 - 18 = 42

2. 7⋅7 = (7⋅10) - (7⋅3) = 70 - 21 = 49

3. 13⋅19 = (13⋅20) - (13⋅1) = 260 - 13 = 247

4. 58⋅61 = (58⋅60) + (58⋅1) = 3480 + 58 = 3538

If we go up another order of magnitude, then the system starts really grinding to a halt though tbh :)

I was just thinking about this the other day. Personally, I think that math falls into two categories, though I think I would distinguish them differently from you (If I'm understanding you correctly). Its kind of like the difference b/t the hammer maker and the carpenter, the producer and the consumer. For me, mathematics (the kind you research and which is abstract and theoretical) is largely in the hammer maker camp. We'll call this math X, these guys are creating and polishing tools (aka in analysis providing proofs and arguments for why the real numbers can be considered complete or that a derivative actually can be taken on a given class of functions).

Then there is Math "Y". This is all the guys who use those things the X guys are selling, the proverbial hammers they have produced. They assume the X guys did their work correctly and that when they use the products they've bought i.e. the rules, theorems and strategies developed by the X guys, to solve a particular equation or problem, the answer is correct. For example, they assume the limit of the sum of two polynomial functions on the reals is equivalent to the sum of the limits of those functions - they don't care about all the nitty gritty details and justifications - the X guys figured all that out for them. They Y guys are much more concerned with figuring out how to get the rocket into space or ensure the skyscraper is soundly built.

I would say from my experience, very little of mathematics education is in the X camp, I'm not saying this is a bad thing though, perhaps it is similar to the fact that most programmers are not compiler programmers or programming language creators :)

Given that everything is biased at the very least by the nature of limited resources, in what ways would you say it’s biased? Does it present false information?

Would love to know an alternative as well.

I’ve been very excited by lean, but every time I try to set things up I get riddled with exceptions, errors, library incompatibilities, lean 3/4 problems. Tuts or documentation that is outdated or just doesn’t work. It has made me wonder, is this just really really alpha software, are they working at a bleeding rate? Idk, but I’ve been enticed multiple times by the promise of lean, maybe I’m just missing some info or should stick it out or just wait until it gets more stable. Anyone have any insight here?

In linguistics, there is a saying coined by Firth, “You will know a word by the company it keeps.” The idea is that a words meaning is embedded in all the contexts in which it occurs. This is how virtually everyone processes the semantics of words. Meaning and contexts vary with time and person and can lead to many misunderstandings.

> It's not a huge difference: 2 additional years in men, 1.5 in women; but it's significant enough

I would be careful to conclude causality here. There are a lot of confounding factors in these studies. For instance, most childless people are not childless by choice but due to already existing illnesses which predispose them to shorter lifespans. Socioeconomic factors also play a huge role. For instance, the numerous studies which show that adoptive parents live longer than their childless counterparts need to account for the wealth and lifestyle factors that allow these parents to adopt kids in the first place.

There have also been studies showing an inverse relationship. Nonetheless, a clear fact is this: "People with children live longer than people without". IMHO, they need a robust study on otherwise healthy and socioeconomically stable individuals (perhaps otherwise childless by choice sperm/egg donors) with healthy counterparts. In order to see, if something like, "In order to increase your longevity, its good to have kids." is reasonable or not. Personally, I'd say the judge is still out on that one.

I'm just wondering but isn't 150k almost nothing in NYC? Does anyone know what the cost of living is, for instance, for a 3 bedroom apt, etc.

From CS definitely theory of computation and big O. From math, it’s hard to pick, but id probably have to say writing rigorous proofs or differential equations, both of those have been enormously useful ( but close runners up are Bayesian statistics and linear algebra).

I liked: Türkisch für Anfänger, Dark, Kleo, ans Stromberg. Unfortunately I’d say IMHO if you’re accustomed to US series you won’t find a lot of German ones that stand up to the production values and acting quality. Dark is a notable exception there I think.