31–40 of 96 posts
Just came here to say that https://meat-gpt.sonnet.io/ is still up and running, largely thanks to the hundreds of LLM based bots hallucinating product reviews for it. I also, thanks to meat gpt, met a guy who sold his startup and pivoted to making beef jerky which sometimes he sells from under his coat pretending it’s drugs. MeatGPT might’ve lost a competition to a site with perfectly rendered 3d sandwiches, but I’m…
Streamlit seems very much alive. I used it on and off in the past. Went to their website and it looks very much alive. Ditto for Weights and Biases.
Just came here to say that https://meat-gpt.sonnet.io/ is still up and running, largely thanks to the hundreds of LLM based bots hallucinating product reviews for it. I also, thanks to meat gpt, met a guy who sold his startup and pivoted to making beef jerky which sometimes he sells from under his coat pretending it’s drugs. MeatGPT might’ve lost a competition to a site with perfectly rendered 3d sandwiches, but I’m…
Well this certainly made my morning more entertaining. Thank you!
Earlier quoted context omitted.
Judging from everyone I know, it will take people a lot of time to learn and accept a lesson from decades ago(one from before some of us were even born and I'm in my mid 30's): lines of code is a shit metric. Sloppers tend to believe that something seemingly working = production ready = good execution. And the metric, of course, is lines of code or "tokens". Until then, the list on this website will keep growing expo…
Does it seem like even senior developers are forgetting this axiom? Or do we feel as though it's been obviated by LLM grokking swaths of text for us? TBH I'm so arrogant, I always suspect there's redundant nonsense in any code module I haven't myself inspected. LLM code is no different.
Streamlit seems very much alive. I used it on and off in the past. Went to their website and it looks very much alive. Ditto for Weights and Biases.
Langfuse, W&B, streamlit and reclaim are far from dead. This list doesn't make much sense
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Just like how more RAM and compute in the cloud made us worse engineers (no need to turn your brain on to tune performance). When the brain is off for one thing, it's off for the rest as well. There is a lot of talk about "we don't have to think about code so we can think of ideas", but that's not how it works. We just don't think.
They should put microphones in the cloud servers so you can hear the fans spin up when you run a program. It's a bit more impactful than a silent CPU usage graph.
Oh man, lots of dead ideas. Atm attention is more important than ever, cos delivering on ideas got easier. Getting the attention your product needs got harder
Did delivering quality really get easier? I'm certainly not seeing it in the software I use. Delivering scale doesn't mean the mission was executed well.