I respectfully disagree. Even if you told me that you felt like working at the UN was a waste of time, I’d still tell you that at least you contributed to a historically unique global institution which at least strives to bring people across the world together.
Not a lot of people here work for Meta, which is why you had to lump in "Random SaaS" like that's remotely comparable. I doubt most people here are working on anything harmful, let alone a fraction of what Meta does.
Unless you think Todo list apps cause Ethnic Cleansing.
>Cooperate with their fellow citizens and fix their banking system
That's exactly what Bitcoin was for.
I don't know where you live, but most places it's the banking system which fixes the citizens, not the other way around.
Only way I imagine being able to fix a bank is with a brick through the window. It's why one level up from where I'm at banks are closing their physical locations, keep no cash, and only have people for 1-2 hours in the morning when only the most obedient are awake and not occupied.
Definitely. The fact that they inject it into Google Search means that even fewer people who have never used ChatGPT or just used it as a "smarter" Google search will just directly try the search function. It is terrible for actually detailed information i.e. debugging errors, but for summarizing basic searches that would have taken 2-3 clicks on the results is handled directly after the search. I feel bad for the website hosts who actually want visitors instead of visibility.
As a Finn, rather than bore you with a 2846 bullet point list, I'd say that technologically not a lot, but we do have a lot more to lose, so it is easier to bargain with our industry compared to Sweden's. Our population is not always big enough to compete head-to-head with some sectors Sweden is also a part of.
They'll perhaps never be faster due to weight limitations from the battery. Gasoline is just so light compared to batteries, and the car becomes lighter as the lap goes further and gasoline is used.
It's the KERS (kinetic energy recovery system). It's battery power that's collected from braking (perhaps some other additional sources) that can be released by the driver when they choose. Similar to F1 car systems in the early 2010s.
In this current geopolitical climate, this move is a disaster for anyone who does not fully trust the US or other nation-states with data surveillance.
That problem is solved, but unfortunately the bottleneck has been for the longest time the larger, more complex electrical equipment that is used to connect chargers to the grid. Companies like the Finland-based Kempower produce the best charging equipment on the market, but their problems start where their equipment ends: the grid.
1) In Finland most of the value is given out as dividends. We have a chronic underinvestment problem where large companies don’t have long term strategies so they dole out a comparatively large amount of value as dividends vs. re-investing the money for future profits. As a result, the stock market is skewed towards dividend-companies vs. growers.
This is exactly the conversation I had with a colleague of mine. They were excited about how LLMs can help people interact with data and visualize it nicely, but I just had to ask - with as little snark as possible - if this wasn't what a monitor and a UI were already doing? It seems like these LLMs are being used as the cliche "hammer that solves all the problems" where problems didn't even exist. Just because we are excited about how an LLM can chew through formatted API data (which is hard for humans to read) doesn't mean that we didn't already solve this with UIs displaying this data.
I don't know why people want to turn the internet into a turn-based text game. The UI is usually great.
I’ve been thinking about this a lot too, in terms of signal/noise. LLMs can extract signal from noise (“summarize this fluff-filled 2 page corporate email”) but they can also create a lot of noise around signal (“write me a 2 page email that announces our RTO policy”).
If you’re using LLMs to extract signal, then the information should have been denser/more queryable in the first place. Maybe the UI could have been better, or your boss could have had better communication skills.
If you’re using them to CREATE noise, you need to stop doing that lol.
Most of the uses of LLMs that I see are mostly extracting signal or making noise. The exception to these use cases is making decisions that you don’t care about, and don’t want to make on your own.
I think this is why they’re so useful for programming. When you write a program, you have to specify every single thing about the program, at the level of abstraction of your language/framework. You have to make any decision that can’t be automated. Which ends up being a LOT of decisions. How to break up functions, what you name your variables, do you map/filter or reduce that list, which side of the API do you format the data on, etc. In any given project you might make 100 decisions, but only care about 5 of them. But because it’s a program, you still HAVE to decide on every single thing and write it down.
A lot of this has been automated (garbage collectors remove a whole class of decision making), but some of it can never be. Like maybe you want a landing page that looks vaguely like a skate brand. If you don’t specifically have colors/spacing/fonts all decided on, an LLM can make those decisions for you.
That's a nice way of explaining it. I also feel like some sort of LLM purist by being critical of features that serve only to pollute emails and comms with robotic text not written by an actual person. We will as societies have to come up with a new metric for TL;DR or "this was a perfectly cohesive and concise text", since LLMs have obscured the line.
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