4,193 karma · joined April 27, 2016
And how long does it take a coding agent to output a thousand lines of code versus a human? The worst human at any company was rate limited by themselves. Those 'average enterprise' programmers aren't going away, they're the ones now spending tens of thousands on coding agents and filling your codebase with even more garbage without bothering to review an iota of it.
>Meanwhile the government did not fix the housing issue, the cost of living disaster in London, the unemployment problem, ... and so on.
These two things might be connected. It's almost like Brexit caused a series of large social problems.
The people least willing to understand how the system works are also the most willing to blindly believe it.
No, no, no and no. This is the biggest mistake I see people consistently make with LLMs. It is not designed to give you the most accurate answer, it is designed to give you the most likely series of words following your prompt.
If an LLM is trained on 10 jackasses thinking bleach is a medicinal drink and 1 doctor who disagrees, it will by virtue of probability tell you to drink bleach. Companies add additional safeguards or system prompts to try and keep it 'on rails' but it's all probability based on what you prompt it. It is by the literal functionality of how it works to do so. A function depending on what said company ingests during training, many of which include the entire corpus of the internet.
If you do not understand how LLMs work under the hood then yes, you shouldn't trust your own personal learned experience because you've already demonstrated that you're wrong.
When you ask 'who knows' that's the point of research which was my original comment here. The same goes true for some random asshole telling you to drink bleach as it does an LLM, except people seemingly have hyped themselves into believing the LLM is more right somehow instead of being trained on every random asshole ever.
So did you build a house, or did you build a house?
If we're talking about research as in actually attempting to learn and get to the heart of a matter then yes. You should be cross referencing everything.
No, it doesn't. Because in any scenario where you are using AI in a potentially appropriate manner, you are verifying every single source it spits out and cross referencing everything it says. If you do not do this you are failing the process entirely.
Would these material conditions change if the person involved was responsible for making bombs used in a genocide? Or if they were working for the Torture Nexus company? Or responsible for money laundering and other illegal activities?
Life certainly has many shades and while I can be sympathetic to certain conditions here we're talking about a highly educated group of individuals who have multiple options to choose from. They've made their choice (or a series of choices) to end up where they are and that does not render them immune to criticism.
The reality is that more engineers need to be able to grow a spine, have longer term thinking and actually stand their ground when it comes to these companies. You could not pay me enough money to work at Meta or Palantir and while it's true there are very few ethical or noble companies, working for Meta is more akin to completely throwing out your ethical compass.
There's so many vibe-coded roguelite deckbuilders out there and all of them look exactly the same. A bunch of shitty art with zero cohesion, mechanics that don't actually work and a UI that's actively offensive to engage with.
I think the problem is a sort of self-correcting one though because when the cuts start to bleed deep enough that people can no longer afford food or basic amenities that's when people start to get violent. Unfortunately that also tends to be very bad for economic outcomes.
At this point I assume even a hard economic crash pioneered and gleefully supported by the rich isn't enough of a cold water splash. I think that mentality is too locked in for a large subset of Americans. Musk has been increasingly getting more and more rancid and that doesn't seem to deter his supporters at all.
In comparison I'm paying around $2000/month for an apartment in Seattle but this is in an area that's right next to the light rail and well taken care of. With the light rail expanding I could easily find apartments even cheaper that still keep me within walking distance and without needing a car.
Great infrastructure is fucking insane thing to say. I was living there during the big freeze in 2021 The state is incredibly unprepared for any sort of major weather event and refuses to actively harden infrastructure against these sort of events. That was one of the many reasons why I chose to leave, because I don't want a repeat.
There are a number of games I've seen and played on Steam which use MTL to get the game playable in English and universally the translation is absolute shit. Sentences that don't transition into another, wordplay that becomes nonsense and a completely flat affect to everything.
It's really saddening to see software engineers throw out all critical thinking and innovation out the window to behave like sheep and follow the trend line. The industry was trailblazed by people that refused to do just that and the same is going to be true in the future.
What? Where? Citations please. We're seeing big companies massively stall in all traditional sectors except AI which is a irrational market built off hype.
At least game jams still carry on that general spirit and the people that try to put together stuff with AI immediately make it obvious.
And in that period where the markets are irrational people are losing their jobs, hardware is being priced out of consumer markets and the rich are trying to embed themselves so hard that we get to pay for it when the market corrects itself. I think your take is highly indicative that you live in a shrinking bubble unaffected by those things.
I don't think you understand why the author did this on a fundamental level. Sometimes it isn't explicitly about getting the outcome directly, it's about putting in the work to understand how you get there.