This appears to be almost like a SPAC. Allbirds had already sold it's IP and other assets, now they raised new money and are continuing under a different name but they're still a publicly traded company. So it's not…
Just to add a little bit of nuance to this not because I'm trying to defend GitHub, they definitely need to up their reliability, but the 90% uptime figure represents every single service that GitHub offers being online…
This downdetector seems to be down. We might need another downdetector.
Not sure if I fully understand it, but this seems highly inefficient? Instead of using embeddings which are easy to make a cheap to compare, you use summarized sections of documents and process them with an LLM? LLM's…
Interesting project! I've been working on a project in this space myself (WaveMemo) I must say, speaker diarization is surprisingly tricky to do. The most common approach seems to be to use pyannote, but the quality is…
I've experienced this as well. I'm working on a project for which I wanted to search through transcripts of a video. This is often a very long text. I figured since models like the GPT 4.1 series have very large context…
I love how run DOOM is listed first, over the possibility of customer data being stolen.
This appears to be almost like a SPAC. Allbirds had already sold it's IP and other assets, now they raised new money and are continuing under a different name but they're still a publicly traded company. So it's not…
Just to add a little bit of nuance to this not because I'm trying to defend GitHub, they definitely need to up their reliability, but the 90% uptime figure represents every single service that GitHub offers being online…
This downdetector seems to be down. We might need another downdetector.
Not sure if I fully understand it, but this seems highly inefficient? Instead of using embeddings which are easy to make a cheap to compare, you use summarized sections of documents and process them with an LLM? LLM's…
Interesting project! I've been working on a project in this space myself (WaveMemo) I must say, speaker diarization is surprisingly tricky to do. The most common approach seems to be to use pyannote, but the quality is…
I've experienced this as well. I'm working on a project for which I wanted to search through transcripts of a video. This is often a very long text. I figured since models like the GPT 4.1 series have very large context…
I love how run DOOM is listed first, over the possibility of customer data being stolen.