71–80 of 330 posts
Do I understand that spend report right ? 10k USD in a month for AI tokens ? After talking about the environmental cost of AI ?
Yeah this is where I stopped. I use AI every day for work but 10k spend to me is a signal that OP is doing something extremely stupid with their AI use.
That seems unlikely given the diverse nature of mutually exclusive opinions that exist out there.
Critics seem to run the gamut from LLMs being incapable of even the most basic of functions to already sentient creatures secretly plotting our destruction with steganographic messages to each other.
It's maybe a bell curve with some wacky at those tails, but there's some fairly significant differences of opinion amongst the positions that are more mainstream.
Just the difference between critics of all LLMs and crutics of all closed weights models are a pretty big gap.
Similarly for those who criticise them for over censorship vs those who criticise them for unrestricted generation.
Earlier quoted context omitted.
Yeah this is where I stopped. I use AI every day for work but 10k spend to me is a signal that OP is doing something extremely stupid with their AI use.
That's the cost of one employee (and not an expensive one). Do you think it's impossible he's getting more value from the AI than he would from a single employee?
Earlier quoted context omitted.
I will just point out the benefit is not as obvious as you think. Developers have consistently overestimated LLM productivity gains, which still seems true for agentic AI: https://metr.org/blog/2026-05-11-ai-usage-survey/ It is particularly striking how similar the results are to LLMs before agents. Along with the total absence of long-term data, I think the benefit can be (weakly) denied. Maybe not in the employmemt…
> I will just point out the benefit is not as obvious as you think. Developers have consistently overestimated LLM I think there are two different claims here: - developers overestimate productivity gains, which is a solid finding in many of these studies. Skepticism of extremely large productivity gains is warranted and I flatly disbelieve "10x uplift" claims. - LLMs give no productivity uplift at all, which is much…
IMO the bigger problem is that ~1.5x individual dev productivity uplift seems to translate into 1.05x uplift across the team. People have been waaaaayyyyy too overconfident about this stuff.
> I think the core issue here is trust. You should never trust random people on the internet anyway. But before LLMs, there was this base thing: creating a proper PR with proper descriptions would require at least some human time, so it would keep trolls and low quality submissions out. Or at least you could easily filter them out within a couple of seconds. So even if a new person came in, you could trust that this…
> There is barely anything more rewarding than teaching someone something, to watch the other person grow I think many junior devs (or aspiring junior devs) look for exactly this experience. This is a matching problem we haven't solved yet. Is Open Source the solution ? I really think it has to be solved if we want truely reliable software in the future.
The entire economy is broken due to the focus on short term quarterly result instead of the health of a company in 5, 10 or even 20 years.
Earlier quoted context omitted.
That's the cost of one employee (and not an expensive one). Do you think it's impossible he's getting more value from the AI than he would from a single employee?
If it's an employee, which I doubt but ok, it's an employee you constantly have to probe, talk to, give instructions to, so, not a really good employee.
It might, in fact, be that you are more successful with your approach. I have no idea. Congrats if so.
Do I understand that spend report right ? 10k USD in a month for AI tokens ? After talking about the environmental cost of AI ?
Yeah this is where I stopped. I use AI every day for work but 10k spend to me is a signal that OP is doing something extremely stupid with their AI use.
Im spending about 2-3K a week on personal projects and 5K a week on corporate stuff.
> a genuinely good tool that enriches your thinking A smartphone is also a genuinely good all-around tool. Even social media is a genuinely good tool for connecting people. Yet, I feel like we've been overly optimistic about the impact of said tools on us and our societies in the past two decades. Smartphones are so good, in fact, in some societies, half of us are addicted to them. Billions of people world-wide. I as…
LLMs are just continuing the trend humanity has long been traveling down.
You're all in denial when you criticize LLMs. It's not necessarily that the criticism isn't true. It's more how self assured the criticism is. That's the biggest problem because AI is a moving target. It is getting better, and it is getting better fast. A lot of the criticism can become outdated in a year or six months. The change is happening in front of your very eyes and yet you can always reliably come on HN and…
> AI code must always be reviewed Yeah, of course AI code must always be reviewed. All code must be reviewed.
If you review all code, your output will be slow. If you review less code, your output will be faster at the cost of more bugs in production. Bug rate will never go down to zero whether you use AI or not.
That is the trade off, if you review everything then output is really slow. If you start only reviewing certain types of code like model changes, database changes. Or only backend code and not frontend code, you hit a sweet spot of speed and reliability.
As LLMs improve the need for reviews becomes less and less. Companies who don't adjust are just slowing themselves down. That is the trend.