It gave me strong vibes too. It’s the writing style. I’ve seen OpenAI write just like this. Doesn’t mean it’s bad. There’s a few other markers. Note “silly” in quotes and over use if that word. Once would be enough. But also this is very very typical. The bolting and short quite direct and a bit repetitive statements “it absolutely does not solve “dumped a bag of candy on a messy kitchen table and took a dramatic iPhone shot.”
Real example programs are where the joke becomes a language
I didn’t want this to stop at “hello world with candy colors.”” The over use of quoting. The bold. It’s not like a human wouldn’t write this. But it’s unusual for a human to do this imho. All the same - it feels novel. And at the end of the day it’s a neat idea. It’s just we enter this new brave world where things written like this give you the ick. “Where do the ai learn this from?” Well I wouldn’t mind betting the author asked it to be written in a hn style post.
this is so cool. I think so much of the logging Saas products are bloated. This looks much simpler. I'd like a python interface.. I've used papertrail and datadog for some of this in the past but dropped it due to cost (and bloat). Nice one.
that to me looks like a error in whatever logic is behind the positional error code. You'd think they would have transformer models based on different layouts but maybe some weighting issues going on.. ie I would have thought its a model that is altering based on likelihood weights and maybe something up with that..
I've used it, lots of false positives out of the box, you need to do a ton of tuning or put a transformer/BERT model with it, but then at that point it's basically the same thing as the OP's project.
can i have this between my machine and git please.. Like its twice now I've commmited .env* and totally passed me by (usually because its to a private repo..) then later on we/someone clears down the files.. and forgets to rewrite git history before pushing live.. it should never have got there in the first place.. (I wish github did a scan before making a repo public..)
GitHub does warn you when you have API keys in your repo. Alternatively, there are CLI tools such as TruffleHog you can put in pre-commit hooks to run before commits automatically
Already mentioned it in another reply, but .env and passing secrets as environment variables are a tragedy. Take a look at how SecureStore stores secrets encrypted at rest, and you’re even advised to commit them to git!
Meta cheated with the mms models. That is they didn’t use a phonemeizsr step. This means they just won’t work or sound very strange. ASR data is usually not quite right for tts. But anyhow - not really answering your question but many of these languages already done in mms. Try them https://huggingface.co/spaces/willwade/sherpa-onnx-tts
We built this for our use case (we create solutions to help people speak who have a disability). This is a prediction model you can run in node or the browser. Next word, next character, word completion.. PPM is old - but still rocks
I’m interested to see how this compares with other heroku clones. The compassion stuff is interesting. I’m using apps on digitalocean. Can we get a comparaison of using app with droplet+blossom?
I’m with the other person too. Drop the emojis and your confidence goes up. We all know coding agents JUST LOVE filling up a document with emojis. It makes you wonder if it’s imagined the benefits too
Real example programs are where the joke becomes a language I didn’t want this to stop at “hello world with candy colors.”” The over use of quoting. The bold. It’s not like a human wouldn’t write this. But it’s unusual for a human to do this imho. All the same - it feels novel. And at the end of the day it’s a neat idea. It’s just we enter this new brave world where things written like this give you the ick. “Where do the ai learn this from?” Well I wouldn’t mind betting the author asked it to be written in a hn style post.