Anecdotally, when the US presidential elections were in the final few weeks, and the polls were leaning Harris, prediction markets suddenly slipped towards favoring Trump against conventional wisdom.
There was one investor from France I believe who bet heavily on Trump winning almost $28M. After election it was revealed he had some private polling done, which informed his decision.
It doesn't answer the question you posed, but I believe these markets could highlight some inefficiencies that conventional mainstream information cannot capture.
The gist is that basic Python at its very core is -
a) simple
b) limited
The language really took off when developers took this simple limited language and pushed it to its very limits using C extensions. The data science explosion opened up the language to a very wide user base.
So to answer your 3 questions:
a) Python is not a fast language by any means. There is a lot of overhead in every function call that makes it almost impossible for low latency/real-time use cases.
b) I don't think Python is particularly the best language for this. This is just a demonstration of someone building their own custom toolchain to show what is possible with just pure Python. The author has highlighted why they think this is interesting on the website.
c) I keep thinking Python will go away soon, and we will see a much better alternative. But the reality is Python is entrenched deeply just like JavaScript. Lot of smart people are putting in a lot of effort to make it better. Personally the ecosystem and packaging story does not annoy me much, but the lack of proper threading (GIL) has hurt my projects more than once.
For your particular pain point, the current community recommended solution is to use uv (https://github.com/astral-sh/uv). There were several detours (pip, pyenv, pipenv, poetry etc.) the community took before they got behind this.
Tyler Cowen is someone I take seriously. I think he is one of the most rational thought leaders.
But I have to say, his views on LLMs seem a little premature. He definitely has a unique viewpoint of what "general intelligence" is, which might not apply broadly to most jobs. I think "interviews" them like they were a guest on his podcast and bases his judgement on how they compare to his other extremely smart guests.
Anyone know how to figure out the web stack for this blog? Its elegant, minimal, and has enough support for some rich elements which add to the experience.
The whole thing is funny cause the guy who is so vehemently defending Tesla and FSD despite totaling his car, is being targeted by Tesla fanboy accounts for being a fraud. Twitter is really bottom of the barrel garbage.
Not worth the trouble. This is such a cosmetic change to appease a specific type of developer but the effort to implement that across all the DB engines of note would be monumental.
It's not just cosmetic, though, as now in order to add a new entry at the end you need to change two lines of code, which means your git blame is no longer accurate.
Someone tell me what data TikTok is collecting, that is making it such a national security threat. I guess it knows what videos you like. Awesome, so does every other social media company out there. Its not like the sign up form is asking for upload of SSN and DL.
I guess the US is afraid of manipulation of the video feed by China, that may influence elections. There might be a kernel of truth there, so I d be curious to hear anecdotes of something like that actually happening.
its not about their official data collection. It is a safe assumption that TikTok app is used to spy on targeted users and their surroundings, just google it.
Ok but both Android and iOS have a good permission system where location and other data access can be highly controlled. Isn't it more prudent that the app be restricted by the OS to not have permissions it does not require? Surely the US can enforce something like that.
You don't need to directly tap that information from the phone if you have enough variety of video and an algorithm that will identify and converge on micro-genres of video based on watch time, likes, and shares.
Aside from that, Tik-Tok Shop is also a thing. So elements of the application exist where you volunteer data like location.
Honestly the choices are:
a) letting workers in who will work for reasonable wages, put in a solid shift, pay generous taxes, who will most likely never seeing a penny of social security or medicare benefits
b) outsource to Bangalore for much cheaper
In my biased Indian view, unless something drastically changes, the proposition of 20+ years on a Green Card queue is looking a lot less appealing for a software person, especially if they are talented.
It didn’t say that it was the same price?
Customers want them produced in the US, so will probs pay extra for it. Especially given that politically it’s a good look for them
At this point it's not really a lot more expensive especially when factories are so heavily automated.
The US has had semiconductor fabs for many years that are still operating. It just so happens that TSMC has the best process, but I don't think that has anything to do with labor costs.
> Congress created a $52.7 billion semiconductor manufacturing and research subsidy program in 2022. Commerce convinced all five leading edge semiconductor firms to locate fabs in the United States as part of the program.
> The TSMC award from Commerce also includes up to $5 billion in low-cost government loans.
This is a big deal for the US Gov because chip manufacturing is ground zero for "staying competitive" against global competition, e.g. China, who is eating the US' lunch in most areas
There was one investor from France I believe who bet heavily on Trump winning almost $28M. After election it was revealed he had some private polling done, which informed his decision.
It doesn't answer the question you posed, but I believe these markets could highlight some inefficiencies that conventional mainstream information cannot capture.