mikeve

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 really shoe retailer pivots to AI but a shoe retailer selling all assets and forming a new company but uses the previous public stock listing.

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 90% of the time. You don't need every single service to be online in order to use GitHub. For example, I don't use Copilot myself and it's seen a 96.47% uptime, the worst of the services which are tracked.

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 are slower and more expensive to run.

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 not amazing...

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 windows RAG was not needed but I definitely notice some strange issues, especially on the smaller models. Things like not answering the question that was asked but returning a generic summary of the content.

I love how run DOOM is listed first, over the possibility of customer data being stolen.