I personally don’t think there is anything wrong with this. To the critiques I would say; this is the world we live in now. There are LLMs capable of essentially perfect writing skills. We need to get used to seeing a lot more content either written by or finished by LLMs.
The best practise for writing docs with LLMs in my opinion, which you have done, is to write as much as you can first then feed that into an LLM for context, and then work with the LLM to finalise it. Maybe half the time is spent writing and half the time is spent going back and forward polishing the doc.
Finally I think it’s important to give the LLM very clear writing guidelines based on your own writing style. I did this by feeding Claude around 20 of my handwritten docs and asked it to analyse my writing style and then add thy to its Claude.md. After a free round of iterations you can get great results!
Same for me. I’m not an engineer (but worked with them for 2 decades) and AI has been amazing for me self hosting.
For example I could never setup Traefik correctly because I just found it too complicated. Now I have Claude I finally got it setup just the way I want it - the ROI on my Claude subscription has been off the scale!
The obvious downside is that I might not really know what exactly I’m implementing and why. I do read all the explanations that Claude gives but it’s hard to retain this information. So there are pros and cons to relying on AI for this kind of stuff I suppose
I find ChatGPT so infuriating the way it always agrees with everything you say. The product is optimised for engagement so it wants its users to be delighted
Dam this is so accurate. As a project manager turned product manager this is so true. You need to estimate a project based on the “pedigree” of your engineers
I’m not an engineer and now I realise why I’ve been struggling getting OpenClaw setup in docker. I just can’t get it to work. Makes sense that it needs access to the underlying OS
This is really cool. At the moment we use a Trello board to track all of our house jobs, projects, reminders and issues. Then we have Home Assistant for all of our sensors and such.
My only concern about something like this is the WAF. My wife uses Trello. She would likely not use terminal. Also she only uses a phone so lack of mobile app or website is another blocker.
I found it quite depressing to read. This guy spent so much time to put just one offender behind bars but the are likely hundreds of thousands out there. So sad
My manager mentioned that his manager (an executive) is not happy because the org we are in are not using as much tokens as other orgs in the company. Pretty wild
My guess is that this is going to be the future for LLMs too. It will get harder or more expensive for AI companies to train their models on the latest information as most sites will block the scrapers or ask for a fee.
There might be a future where you’ll have to pay more for an up to date model vs a legacy (out of date) model
I think it’s a bit disingenuous to say that Spotify “cut” the revenue per stream. Spotify doesn’t have a fixed revenue per stream, payouts are dynamic and based on how much revenue it made and how many streams there are in total. Also Spotify gives something like 80% of its revenue to the music industry.
It’s essentially a pie that gets divided up amongst all artists by steam count. If your friend’s garage band are angry that they only get 0.001 cents per stream then they should be angry at Spotify listeners for streaming too much Taylor Swift!!!
Furthermore to pay the artists Spotify has to pay the labels and of course they take a giant cut. This trope of Spotify being an evil corporation is unfair
Why do you say so? They’re burning cash and don’t currently have a viable path to profitability. Sure they have millions of MAU but not many paying ones.
It’s not a great experience if only some apps on supported on your favourite Linux distro while others aren’t.