yard2010 · HackerLangs

yard2010

一昨日議論

Ask random questions until you get enough sense of things to ask "the right" questions. Never stop asking questions. Use everything you can to get the answers and never settle for any answer no matter how good it sounds, doubt it and go back to step 1.

yard2010

一昨日議論

In 2025 John Deere net income was $4,998m. $1m is 0.02% of that. They make it in less than 2 days. Imagine making money in an unlawful way for years then paying only 2 days worth of salary.

https://www.macrotrends.net/stocks/charts/DE/deere/cash-flow...

yard2010

3 日前議論

I agree with this sentiment so much but before I could figure I turned into it. I'm feeling torn - it's helping me write and ship good code as I couldn't before, but it feels like I don't understand the real price of using it non-stop.

yard2010

6 日前議論

Not GP but the js runtime has a long tail of case edges you simply can't emulate with a single app.

yard2010

6 日前議論

How about leveraging llms to produce deterministic codemods? You can then iterate on this by running the codemods and using other deterministic guardrails, feeding the results back into the llm to improve the codemods?

yard2010

8 日前議論

"contains 0% AI" too! This artist is awesome

yard2010

8 日前議論

Can you please elaborate? What constraints exactly?

yard2010

8 日前議論

Check out Linear, I'm not affiliated, just yesterday I happened to close the dialog by misclicking and when I pressed create issue again there was the wall of text I wrote. My point is it's not a technical problem but a product one.

yard2010

8 日前議論

I feel so frustrated about such stuff. Especially when we have the technology to make this not happen.

yard2010

8 日前議論

Same here but yesterday I decided to give this a goal. It started a workflow that spawned like a 100 sub agents to research the best o11y product I can use. It burnt through all my max plan (before it could start making any changes), something I could never do simply by using claude code yet. It's not for me.

yard2010

8 日前議論

Wait what do you mean "if"?

yard2010

10 日前議論

"You work hard, screw over everybody that you love, hurt, rob, kill indiscriminately and maybe... just maybe, if you're lucky, you become a three bit gangster. It's bullshit. Go to college. Then you can rip people off and get paid for it. It's called capitalism"

yard2010

10 日前議論

What if they decide you're not patriotic enough, serving you evil models, because one man with a lot of shmeckels told them to?

yard2010

12 日前議論

Recall that the marginal utility of money diminishes when you have more of it - when you have a lot of money it's easier to turn it into even more money, and vice-verca. It's not linear. So 20$ difference has exponential not linear influence on "being rich".

yard2010

13 日前議論

Not gp, I want to pay the creators. I also want to own what I pay them for. When I have this option (bandcamp, physical media etc.) I'm going for it without even thinking. It's not about the money. It was about the money when I was 13. Now it's simply about owning my stuff. Renting is not for me. If I don't have any other alternative than pirate, what should I do?

Sharing is caring. If I can share my money with creators I go for it every single time, especially when these creators are simply making my life better with their art.

It's more complex than "want stuff for free". Usually I hate free stuff as they cost in time or worse.

yard2010

13 日前議論

Lol, I sincerely hope not.

yard2010

14 日前議論

As The President told FDR in Rick and Morty: "Try having an historical administration after Facebook goes online, you old-timey bitch!"

yard2010

14 日前議論

It might be the other way around. There are powerful people with money that simply behave. A few assholes turn things into shit for everyone, when they also have money it just becomes worse.

yard2010

14 日前議論

You are awesome, thank you for being such a magical part of my childhood

yard2010

14 日前議論

Instead of driving the agent with an llm, it might work to use the agent to hard code heuristics, and use some kind of a simulation to benchmark its skills? Then feeding the results back to the agent so it can improve the heuristics?

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