Curious, what is learned doing rounds that isn't taught in med school, that ChatGPT could benefit from?
In theory, there's no difference between theory and practice.
In practice...
Readit Newsbatshit_beaver commented on AI is destroying open source, and it's not even good yet jeffgeerling.com/blog/202... · Posted by u/VorpalWay
i find its the opposite, LLMs can be made to agree with anything.... largely because that agreeability is in their system prompt
Yeah, this. Every conversation inevitably ends with "you're absolutely right!" The number of "you're absolutely right"s per session is roughly how I measure model performance (inverse correlation).
batshit_beaver commented on So you want to build a tunnel practical.engineering/blo... · Posted by u/crescit_eundo
Israel and the US have shown in Iran you need to dig extremely deep, otherwise you stand no chance against modern bombs.
But carrying bunker busters via drones is a lot more expensive than hand grenades.
batshit_beaver commented on AI is destroying open source, and it's not even good yet jeffgeerling.com/blog/202... · Posted by u/VorpalWay
Using an LLM is a form of pair programming.
Yeah, akin to talking to a rubber ducky
batshit_beaver commented on I am happier writing code by hand abhinavomprakash.com/post... · Posted by u/lazyfolder
This is no different then carpentry. Yes, all furniture can now be built by machines. Some people still choose to build it by hand. Does that make them less productive? Yes. Will they ever carve furniture by hand for a business? Probably not. Can they still enjoy the act of working with the wood? Yes.
If you want to code by hand, then do it! No one's stopping you. But we shouldn't pretend that you will be able to do that professionally for much longer.
> This is no different then carpentry. Yes, all furniture can now be built by machines. Some people still choose to build it by hand. Does that make them less productive? Yes.
I take issue even with this part.
First of all, all furniture definitely can't be built by machines, and no major piece of furniture is produced by machines end to end. Even assembly still requires human effort, let alone designs (and let alone choosing, configuring, and running the machines responsible for the automable parts). So really a given piece of furniture may range from 1% machine built (just the screws) to 90%, but it's never 100 and rarely that close to the top of this range.
Secondly, there's the question of productivity. Even with furniture measuring by the number of chairs produced per minute is disingenuous. This ignores the amount of time spent on the design, ignores the quality of the final product, and even ignores its economic value. It is certainly possible to produce fewer units of furniture per unit of time than a competitor and still win on revenue, profitability, and customer sentiment.
Trying to apply the same flawed approach to productivity to software engineering is laughably silly. We automate physical good production to reduce the cost of replicating a product so we can serve more customers. Code has zero replication cost. The only valuable parts of software engineering are therefore design, quality, and other intangibles. This has always been the case, LLMs changed nothing.
batshit_beaver commented on Tesla ending Models S and X production cnbc.com/2026/01/28/tesla... · Posted by u/keyboardJones
It seems counterintuitive, but this helped Tesla which is why Musk championed it. Basically when that tax credit came out, a bunch of Tesla owners had their cars underwater - loans were more than new cars were selling for and depreciation thru the roof. Plus the tax credit helped their competitors. Now that the credit is gone, Tesla owners are closer to being in the black on their cars and it also caused Ford and GM to cut EV production by I believe 100%. Win win for Tesla.
This seems bizarre. Only reason my family bought a Tesla is thanks to the ev tax credit. Without it there are far better options.
From March 16, 2020 (Covid scare reality / market-drop), the marketcaps of Top 10,000 traded companies has doubled (from low $70 Trillion USD to low $140 T)
But bullion has done even better (particularly past month).
So — extrapolating — I'd recon the USD is inflating away its problems (mostly: itself).
What's interesting is that the strength of US dollar vs other currencies is barely budging in the meantime. Seems like everyone else is inflating away their problems too, so it all evens out in the end (unless you're poor with no assets, in any country).
Then the US companies will be outcompeted by more competitive companies located outside the US. Now the US lost the jobs and the workers' income tax and the corporate tax.
America cannot eternally capture a disproportionate share of global wealth, even with such rent seeking moves. It's unsustainable.
We had a golden age after WW2 when we were the only undamaged industrial economy but that age has ended.
That's what the third shoe is for - aircraft carriers.
batshit_beaver commented on Show HN: I quit coding years ago. AI brought me back calquio.com/finance/compo... · Posted by u/ivcatcher
For me, it was the craft that was fun, less the building. It was nice to have a really good result that customers were happy about, that other engineers were happy about, but it was also nice to have such intimate knowledge of a codebase because I and my team built it.
I miss that level of mastery. I feel that in the LLM-assisted coding age, that's now gone. You can read every section of code that an LLM generates, but there's no comparison to writing it by hand to me in terms of really internalizing and mastering a codebase.
What's stopping you from writing code by hand even today? I mainly use LLMs for researching and trying possible paths forward, but usually implement the suggested solution myself specifically so that I fully understand the code (unless it's a one-liner or so, then I let the LLM paste it in).
At a national security level, the department of defense has already war-gamed mass unemployment. The defense sector would already have projected when the unemployment would happen and at what rate, I’m saying this to imply they had AI and judged its trajectory rather quickly awhile ago.
Data centers WILL happen, mass unemployment WILL happen, simply because, smarter people made it, assessed it, cannot deny it, and a large scale paradigm shift is occurring.
The data centers WILL get built (because the country needs it, don’t worry about why), AND you WILL get fired. Please await further instructions, thank you.
Try to stay in the same spot, oh, Covid helped with that remote work thing huh? See, this won’t be as painful as everyone thinks, it’s a nice smooth transition.
Edit:
I just want to add, the DoD is not going to let tech companies control the infrastructure of data centers either, too much of a security risk. So yeah, you better believe secret govt money is going to finance all of it, just like highways.
You’re welcome, now you don’t have to speculate.