61–70 of 503 posts
Earlier quoted context omitted.
Spotting bubbles and predicting they will burst at some point is not a particularly useful skill. Housing in Amsterdam was in a bubble for 37 years in the 1700s; identifying the bubble early on would have been completely pointless.
So what should one do when one notices a bubble?
Hey I have my gripes with the landscape, certainly, but this is just too much. > It sure is! But it doesn't really prove anything other than that people are using the single-most-talked about product in the world. By comparison, billions of people use Facebook and Google. I don't care about this number! > User numbers alone tell you nothing about the sustainability or profitability of a business, or how those people…
I don't get these statements. This line of thinking is so egregious, FTX made an ad about it. This is survivorship bias. If 'wrong' predictions about some can be discrediting, then why not right predictions to establish credibility? The same people were right about the Segway, crypto, metaverse, web3, that dog walking startup that Softbank burned money on, and countless other harebrained endeavors.
Even in your example, Uber is a financial crime. It is still using accounting tricks to show profit.
Earlier quoted context omitted.
Tbh they'd have been right. Cars are expensive to buy and to maintain. They are difficult to operate—people die every day. They do smell bad, and the particulate matter they emit is extremely bad for you. And they are slow: Traffic is an unsolvable problem in urban centres. Redesigning our cities around cars was one of the big mistakes of the 20th century.
And yet, they’re better than what they replaced. Horses weren’t cheap when they were a primary mode of transportation. Lots of people have died riding, driving, and breaking horses. They definitely smell bad, and their “particulate matter” was so bad that houses had to be set back and elevated from the street. Cities designed around cars are far superior to cities designed around horses.
I’m a little shocked at how much negativity there is around LLMs among developers. It’s a new tool that requires some learning, and it’s sometimes not so great, but if you’ve used an IDE with real coding assistance built in (eg. VS Code in Edit with Copilot mode - NOT Chat mode, using Claude 3.5), it’s honestly not much worse than a junior dev and 100x faster. And if the code is bad you throw it away and try again 10…
Unreliable tools are utterly exhausting. > not much worse than a junior dev and 100x faster. Is there a greater hell than this!?
> And even then, we still don't have a killer app! There is no product that everybody loves, and there is no iPhone moment! I would strongly argue that coding assistants are AI’s first killer app. Copilot, Cursor, Windsurf etc.
Are they? I find Agentic mode on most editors barely useful. Autocomplete and inline editing is great though. To use these tools properly, you need to know how to build the same thing precisely.
The code isn't the most readable because I don't need it to be however if you make me write it from scratch in an interview style setting I'd have trouble doing it. If I read the code I can follow it and it makes sense + it's an easy component to manually test. So.. no, I don't need to know how to precisely build the same thing.
And before you worry that I'm committing code I can't build from scratch.. This is a simple component for a 5 page landing page build with astro where I'm the "main" dev ( wrote like 80% of the code). The web-page won't even need maintainance once it's deployed
Earlier quoted context omitted.
Unreliable tools are utterly exhausting. > not much worse than a junior dev and 100x faster. Is there a greater hell than this!?
At least with a junior dev, I can teach them how to do it better next time. Not so much with generative "AI".
If you actually take the time to tell it “hey, don’t do it this way,” it can definitely do it differently the next time.
On top of that, is anyone training models on their own codebase, and noting to AI which patterns are best practice and which aren’t?
There are a ton of ways to make it better than the baseline copilot experience
I’m a little shocked at how much negativity there is around LLMs among developers. It’s a new tool that requires some learning, and it’s sometimes not so great, but if you’ve used an IDE with real coding assistance built in (eg. VS Code in Edit with Copilot mode - NOT Chat mode, using Claude 3.5), it’s honestly not much worse than a junior dev and 100x faster. And if the code is bad you throw it away and try again 10…
Unreliable tools are utterly exhausting. > not much worse than a junior dev and 100x faster. Is there a greater hell than this!?
general API plumbing ? call this api, combine the json results & spit it out. Then slap a React / Next.js frontend ?
lately, I have been doing your classical business apps - due to the domain rules - ai is pretty useless - but I have found perplexity and deep mind to be smarter stack overflows. that's it.