Dolfy
@baeyer.bsky.social
Doge & Jägermeister lover. CUDA enjoyer. Insane.
It depends on how you view the job of a dev who uses AI to replace the ones who don't. If that's a bullshit job too, then there's no contradiction. If they were working on a useless app, then there's no difference. The demand for useless apps will increase as the price of development goes down.
April 4, 2025 at 2:04 AM
It depends on how you view the job of a dev who uses AI to replace the ones who don't. If that's a bullshit job too, then there's no contradiction. If they were working on a useless app, then there's no difference. The demand for useless apps will increase as the price of development goes down.
Yeah, David Graeber's Bullshit Jobs. On Monday a feature is requested, on Thursday it's no longer necessary. It happens all the time. Even worse, a useless company stays solvent for 3 years, then goes bust. That's the real bad churn. But hey, gotta keep the masses busy.
April 3, 2025 at 7:45 AM
Yeah, David Graeber's Bullshit Jobs. On Monday a feature is requested, on Thursday it's no longer necessary. It happens all the time. Even worse, a useless company stays solvent for 3 years, then goes bust. That's the real bad churn. But hey, gotta keep the masses busy.
No, churn means the code was removed soon after it was added. It doesn't indicate bad code. Agile is all about pushing as much code as soon as possible, and LLMs amplify it.
CloudFlare outages are usually caused by a bad config, not even code.
CloudFlare outages are usually caused by a bad config, not even code.
April 3, 2025 at 6:52 AM
No, churn means the code was removed soon after it was added. It doesn't indicate bad code. Agile is all about pushing as much code as soon as possible, and LLMs amplify it.
CloudFlare outages are usually caused by a bad config, not even code.
CloudFlare outages are usually caused by a bad config, not even code.
These days, by definition, a bad dev is someone who can't use LLMs to be more productive. In this case, no. If you mean bad dev, as someone who is bad as a certain aspect of development, then LLMs definitely make them better.
Churn is a meaningless metric. The only thing that matters is profit.
Churn is a meaningless metric. The only thing that matters is profit.
April 2, 2025 at 11:10 PM
These days, by definition, a bad dev is someone who can't use LLMs to be more productive. In this case, no. If you mean bad dev, as someone who is bad as a certain aspect of development, then LLMs definitely make them better.
Churn is a meaningless metric. The only thing that matters is profit.
Churn is a meaningless metric. The only thing that matters is profit.
Which CEOs? Zuck? He's clearly lying. Meta's hiring human devs, and still using leetcode. Who cares.
Now you can become CEO, CTO, designer, sales rep by paying less than you spend on food. Isn't that much better than pretending to be busy for some corporation?
Now you can become CEO, CTO, designer, sales rep by paying less than you spend on food. Isn't that much better than pretending to be busy for some corporation?
April 2, 2025 at 8:22 AM
Which CEOs? Zuck? He's clearly lying. Meta's hiring human devs, and still using leetcode. Who cares.
Now you can become CEO, CTO, designer, sales rep by paying less than you spend on food. Isn't that much better than pretending to be busy for some corporation?
Now you can become CEO, CTO, designer, sales rep by paying less than you spend on food. Isn't that much better than pretending to be busy for some corporation?
When it comes to training image models, it's about the same. Image models may even be harder to train.
There's lots of things that go wrong with programming too. For example, almost every Nodejs server has a memory leak, and has to be rebooted daily. Perhaps in your world, bad devs don't exist.
There's lots of things that go wrong with programming too. For example, almost every Nodejs server has a memory leak, and has to be rebooted daily. Perhaps in your world, bad devs don't exist.
April 2, 2025 at 8:12 AM
When it comes to training image models, it's about the same. Image models may even be harder to train.
There's lots of things that go wrong with programming too. For example, almost every Nodejs server has a memory leak, and has to be rebooted daily. Perhaps in your world, bad devs don't exist.
There's lots of things that go wrong with programming too. For example, almost every Nodejs server has a memory leak, and has to be rebooted daily. Perhaps in your world, bad devs don't exist.
VCs and customers don't need to be programmers. They need to give the company money. You think they're so dumb to pay for a Todo app that's available for free?
April 2, 2025 at 8:07 AM
VCs and customers don't need to be programmers. They need to give the company money. You think they're so dumb to pay for a Todo app that's available for free?
My graphic design skill is low, but now I can use something like this instead of hiring a pro.
April 2, 2025 at 6:59 AM
My graphic design skill is low, but now I can use something like this instead of hiring a pro.
Look at r/ClaudeAI and see non-experts struggling to make apps. Anyone who actually tried, understands that it's difficult to use LLMs to generate what's needed for an app.
It's easy to replace HR and project managers when team size shrinks by a factor of 3. Just fire them.
It's easy to replace HR and project managers when team size shrinks by a factor of 3. Just fire them.
April 2, 2025 at 6:57 AM
Look at r/ClaudeAI and see non-experts struggling to make apps. Anyone who actually tried, understands that it's difficult to use LLMs to generate what's needed for an app.
It's easy to replace HR and project managers when team size shrinks by a factor of 3. Just fire them.
It's easy to replace HR and project managers when team size shrinks by a factor of 3. Just fire them.
He did it to pump the stock, and he succeeded. It's quite obvious that he's not making a reasonable prediction.
It's at least 5 years to get JEPA and world models to work. Realistically it may take 10-15 years. Read the research, don't take anyone's word for it.
It's at least 5 years to get JEPA and world models to work. Realistically it may take 10-15 years. Read the research, don't take anyone's word for it.
April 2, 2025 at 6:51 AM
He did it to pump the stock, and he succeeded. It's quite obvious that he's not making a reasonable prediction.
It's at least 5 years to get JEPA and world models to work. Realistically it may take 10-15 years. Read the research, don't take anyone's word for it.
It's at least 5 years to get JEPA and world models to work. Realistically it may take 10-15 years. Read the research, don't take anyone's word for it.
GitClear's study is from 2020 to 2023. It was before models like o1 or r1. Their methodology is shallow, and only looks at the code that was deleted after being added.
What's a serious company? If a company gets money from VCs or customers, it's serious.
What's a serious company? If a company gets money from VCs or customers, it's serious.
April 2, 2025 at 6:48 AM
GitClear's study is from 2020 to 2023. It was before models like o1 or r1. Their methodology is shallow, and only looks at the code that was deleted after being added.
What's a serious company? If a company gets money from VCs or customers, it's serious.
What's a serious company? If a company gets money from VCs or customers, it's serious.
It's already replacing devs in startups, which needed at least 3 devs, and now 1 is enough.
There are fully self driving cars in SF, LA, and Wuhan. Expensive LIDAR and not cheap end2end vision. JEPA and world models will take 5 years. In the meanwhile, focus on making money.
There are fully self driving cars in SF, LA, and Wuhan. Expensive LIDAR and not cheap end2end vision. JEPA and world models will take 5 years. In the meanwhile, focus on making money.
April 1, 2025 at 11:50 PM
It's already replacing devs in startups, which needed at least 3 devs, and now 1 is enough.
There are fully self driving cars in SF, LA, and Wuhan. Expensive LIDAR and not cheap end2end vision. JEPA and world models will take 5 years. In the meanwhile, focus on making money.
There are fully self driving cars in SF, LA, and Wuhan. Expensive LIDAR and not cheap end2end vision. JEPA and world models will take 5 years. In the meanwhile, focus on making money.
The speedup is 3-5x, and there are virtually no times where it's faster to do it by hand.
Something like Devin doesn't work yet, I agree. Chain of thought models can do some problem solving. I've tested that with parsing tasks. LLMs completely replace what a dev does.
Something like Devin doesn't work yet, I agree. Chain of thought models can do some problem solving. I've tested that with parsing tasks. LLMs completely replace what a dev does.
March 31, 2025 at 10:37 PM
The speedup is 3-5x, and there are virtually no times where it's faster to do it by hand.
Something like Devin doesn't work yet, I agree. Chain of thought models can do some problem solving. I've tested that with parsing tasks. LLMs completely replace what a dev does.
Something like Devin doesn't work yet, I agree. Chain of thought models can do some problem solving. I've tested that with parsing tasks. LLMs completely replace what a dev does.
The only example of what was largely automated in programming is memory allocation. Tests, authentication, translating DB queries into data objects, translating data objects into UI elements were done manually until LLMs appeared.
March 31, 2025 at 12:17 PM
The only example of what was largely automated in programming is memory allocation. Tests, authentication, translating DB queries into data objects, translating data objects into UI elements were done manually until LLMs appeared.
Programmers who write all code by copy-paste from docs or stackoverflow are largely gone already. By automation most people mean something like PLCs, which isn't what most programmers do, they are involved in low quality enterprise software that doesn't automate anything.
March 31, 2025 at 12:02 PM
Programmers who write all code by copy-paste from docs or stackoverflow are largely gone already. By automation most people mean something like PLCs, which isn't what most programmers do, they are involved in low quality enterprise software that doesn't automate anything.
They've been trying to make them work for 70 years with little progress. Regular planes were sent to Falkland islands, and had to be refueled several times to cover the huge distance.
March 31, 2025 at 6:53 AM
They've been trying to make them work for 70 years with little progress. Regular planes were sent to Falkland islands, and had to be refueled several times to cover the huge distance.
So, something like Apple Health these days?
March 9, 2025 at 11:14 PM
So, something like Apple Health these days?
ERP consultants make more than most programmers, because 1) ERP is crucial for profit and savings 2) the supply of experienced ERP consultants is low.
It's great to focus on web UI, although it looks like the supply is huge these days, but the demand is not growing, because Apple is against it.
It's great to focus on web UI, although it looks like the supply is huge these days, but the demand is not growing, because Apple is against it.
March 8, 2025 at 2:15 AM
ERP consultants make more than most programmers, because 1) ERP is crucial for profit and savings 2) the supply of experienced ERP consultants is low.
It's great to focus on web UI, although it looks like the supply is huge these days, but the demand is not growing, because Apple is against it.
It's great to focus on web UI, although it looks like the supply is huge these days, but the demand is not growing, because Apple is against it.
Which features? The main issues I've seen are slowness of React Native apps, and complications for builds with stuff like cocoapods.
March 7, 2025 at 9:16 AM
Which features? The main issues I've seen are slowness of React Native apps, and complications for builds with stuff like cocoapods.
I meant the highest for mobile. Android devs are 20% lower, and RN is the lowest.
Machine learners who get paid a ton have PhDs and work on training. There aren't many jobs like that. There are many more jobs for inference/MLOps, and those pay about the same as advanced cloud stuff.
Machine learners who get paid a ton have PhDs and work on training. There aren't many jobs like that. There are many more jobs for inference/MLOps, and those pay about the same as advanced cloud stuff.
March 7, 2025 at 9:09 AM
I meant the highest for mobile. Android devs are 20% lower, and RN is the lowest.
Machine learners who get paid a ton have PhDs and work on training. There aren't many jobs like that. There are many more jobs for inference/MLOps, and those pay about the same as advanced cloud stuff.
Machine learners who get paid a ton have PhDs and work on training. There aren't many jobs like that. There are many more jobs for inference/MLOps, and those pay about the same as advanced cloud stuff.