jstx1

29 ms·

301.
by jstx1 4y ago
> Pension, as far as I can tell, is used as in the us - it’s a defined benefit mechanism My point was to draw a distinction between this and the UK (where the author of the post is). In the UK there's - state pension (similar to so
302.
by jstx1 4y ago
Don't get confused by the word pension - the defined contribution version (closest equivalent of a 401k) is still called a pension in the UK.
303.
by jstx1 4y ago
It also ignores that you can take out a portion of your pension tax free, and that your marginal tax rate is likely to be lower in retirement. It also ignores the amount of flexibility and options that you have in terms of picking your pro
304.
by jstx1 4y ago
...started a long time ago when garbage collected languages became popular.
305.
by jstx1 4y ago
Sounds very normal to me, I think you probably got lucky with companies that can turn things around quckly in your last job search.
306.
by jstx1 4y ago
You don't need to loop with the LLM multiple times - after a couple of prompts and adjustments you can accept the suggested code and make any modifications you want yourself because at that point editing the code by hand would be faste
307.
by jstx1 4y ago
> Now, at this startup, where I have been working since June 2022, I have not been paid in any way This isn’t normal, you should have stopped working there after the first month of not being paid. So stop now. I don’t know which country
308.
by jstx1 4y ago
The thing that's missing from the list are the tools and inventions which people had to be conviced of the usefulness of and ended up being useless. "This happened for X so it will happen for Y" isn't an argument on its
309.
by jstx1 4y ago
This isn't an argument though, all you're saying is that a different thing was pointless hype at a different time.
310.
by jstx1 4y ago
> I never would have expected these kinds of words from Carmack. He already talked about this in his interview with Lex Fridman - https://www.youtube.com/watch?v=xzPuGf89vpI
311.
by jstx1 4y ago
Children don't have the same level of general knowledge in kindergarten. Adults don't have it either, not even the best adults.
312.
by jstx1 4y ago
You can't extrapolate from an arbitrary selection of technologies and assume that LLMs will have the same trajectory. They could be like the iPhone, or they could be like self-driving cars which have been a year away from replacing all
313.
by jstx1 4y ago
The first version is way better than most actual layoff announcements - it focuses on the subject and gives relevant information. Many actual companies don't have the balls to be direct - they don't use the word layoff, they put s
314.
by jstx1 4y ago
Zuckerberg under Media, not Tech?
315.
by jstx1 4y ago
Depending on how deep you want to go in the implementation details, you may want to look into research positions. An MLE job isn't that different from a backend dev job.
316.
by jstx1 4y ago
> for people who quit programming to become ML engineers This is a weird way to frame it; there's no quitting programming involved, it's a switch from one kind of software job to another. > I enjoy ML and find it useful, pro
317.
by jstx1 4y ago
So Via have acquired Citymapper, or am I misreading this? They've dressed up the announcement so much that you can't even understand what they're announcing.
318.
by jstx1 4y ago
All the debate or whether it's AGI seems really pointless because the outcome doesn't change anything. Agree that it's AGI, don't agree -- either way the model is the same amount of good/useful/dangerous/
319.
by jstx1 4y ago
Have a look at Cinder - https://github.com/facebookincubator/cinder - it's Meta's performance oriented fork of CPython that they use to run Instagram (which is a big Django app).
320.
by jstx1 4y ago
> If there are no jobs these new grads can "flip burgers" or something, but more likely they'll find someone willing to hire them to crank out code. If there are no jobs, they can't find someone willing to hire them
321.
by jstx1 4y ago
> ML/LLM does not fundamentally understand the code. It doesn't need to understand it, it needs to have correct output often enough. At some point it gets so good at producing code, and so good at explaining code too, that the
322.
by jstx1 4y ago
Neither, it doesn't change much right now, and the worst case scenarios like double-digit unemployment from replacing most knowledge workers are impossible to prepare for anyway. So either way there's nothing that I could be doing
323.
by jstx1 4y ago
> Senior engineers are affected. Quite the opposite - good code generation replaces junior engineers more than seior ones. > No wonder there is so many layoffs. The layoffs have been completely unrelated so far.
324.
by jstx1 4y ago
The goalposts don't matter. If we all agreed today that we have AGI, nothing would be different tomorrow.
325.
by jstx1 4y ago
> The implications for society? We better up our game. If only the horses had worked harder, we would never have gotten cars and trains.
326.
by jstx1 4y ago
That's not how they decide who gets laid off.
327.
by jstx1 4y ago
> It's because it makes the initial choice so increasingly unlikely But you still need to conivnce people that the one remaining unopened door is more likely than the door you originally selected. They were both unlikely to begin wi
328.
by jstx1 4y ago
I would change my choice because I understand the problem. But I would also change my choice in the scenario with 3 boxes. I'm not arguing with the conclusion, what I don't understand is the people who have their mind changed by t
329.
by jstx1 4y ago
This doesn't do anything for me. (I understand the Monty Hall problem, I just don't see how changing the number of doors makes a difference to anyone's intuition.)
330.
by jstx1 4y ago
1. Changing your mind gives you the opposite of your original choice. << once you get this the rest is obvious 2. Your original choice gives you a goat 2/3 of the time and a car 1/3 of the time. 3. So by switching you get a

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