It's crazy that insurance companies are (rightfully) viewed so negatively that the killing of a CEO is responded to positively in a lot of circles. No doubt the jokes on twitter have been great, and it is a good release like I've heard people say about breaking a window with a brick during a protest. It (edit: represents) a lot more than just property damage. It's unlikely but maybe some good will come of this from insurance companies.
Readit Newswill-burner commented on United Health CEO Decries "Aggressive" Media Coverage in Leaked Recording kenklippenstein.com/p/vid... · Posted by u/christhecaribou
will-burner commented on Y Combinator and Power in Silicon Valley commoncog.com/c/cases/y-c... · Posted by u/nsoonhui
Why does everything need to scale? Why couldn't they stick to taking a few high quality companies every year? There was enough money to be made that way. Seems the belief is that everything needs to scale until it doesn't work anymore.
Capitalism baby, you always need to grow to increase share holder value.
will-burner commented on Model Context Protocol anthropic.com/news/model-... · Posted by u/benocodes
This is great but will be DOA if OpenAI (80% market share) decides to support something else. The industry trend is that everything seems to converge to OpenAI API standard (see also the recent Gemini SDK support for OpenAI API).
True, but you could also frame this as a way for Anthropic to try and break that trend. IMO they've got to try and compete with OpenAI, can't just concede that OpenAI has won yet.
will-burner commented on WhisperNER: Unified Open Named Entity and Speech Recognition arxiv.org/abs/2409.08107... · Posted by u/timbilt
On a similar note, I've a request for the HN community. Can anyone recommend a low-latency NER model/service.
I'm building an assistant that gives information on local medical providers that match your criteria. I'm struggling with query expansion and entity recognition. For any incoming query, I would want to NER for medical terms (which are limited in scope and pre-determined), and subsequently where I would do Query rewriting and expansion.
https://www.tonic.ai/products/textual offers NER models through an API or with a UI for managing projects. You can sign up for a free trial at https://textual.tonic.ai
will-burner commented on WhisperNER: Unified Open Named Entity and Speech Recognition arxiv.org/abs/2409.08107... · Posted by u/timbilt
Is there any reason why this would work better or is needed compared to taking audio and 1. doing ASR with whisper for instance 2. applying an NER model to the transcribed text?
There are open source NER models that can identify any specified entity type (https://universal-ner.github.io/, https://github.com/urchade/GLiNER). I don't see why this WhisperNER approach would be any better than doing ASR with whisper and then applying one of these NER models.
will-burner commented on New York Times Word Usage Frequency Chart davidrozado.substack.com/... · Posted by u/cubefox
It would be cool to see one of those word diagrams where the size of the word is how often it appears (a word cloud), and to have one of the word clouds for the word in 1970 and one for the words in 2018 with maybe some years in between. That would make it a lot easier to digest the information than a grid of frequency line plots. It's information overload when I open the page and it takes a lot of energy to read all the different words and compare the plots. The word clouds would get the point across easier and clearer imo.
Love the name Chonkie and Moo Deng, the hippo, as the image/logo!!
edit: Get some Moo Deng jokes in the docs!
An assumption of the article is that in addition to getting readers, bloggers want to make money from their blogs via advertising, brand endorsements, etc. That's fair and true for the author in this case, but not necessarily true of all bloggers, especially the tech type that are on hacker news.