Yes - I have the same intuition. But it may also just be u fortunate timing and obligations. Sometimes companies have requirements from customers to notify them within some time period following a breach.
Like many in the US, I saw this somewhat late. Did the OpenAI disclosure come out first? Did Mixpanel notify OpenAI (due to contractual obligations), who then investigated and ripped Mixpanel out of their systems? And then OpenAI disclosed it publicly, forcing Mixpanel to disclose publicly?
Pretty cool. Shameless plug: My team at Anthropic is hiring people that can write accelerator kernels. Please reach out to <my username>@gmail.com if you want to make state of the art models faster :)
It's funny - former Google devs (whom I just maintain a good relationship with their former employer) are ideally positioned to profitably take advantage of the arb of TPU over GPU.
DenseNet is a pretty big deal, and I am surprised some version of FCN/U-Net is not there, or siamese networks are not there. Capsules are still quite young and Transformer pretty specific, don't know that they have have a large impact yet.
Very interesting. I've implemented something similar[1] using a pure Collaborative Filtering approach[2][3], that I think works better for me, but it's unable to recommend unpopular repositories.
The New York Times recommender system uses a hybrid approach (Content Based + Collaborative Filtering) called Collaborative Topic Modeling on top of LDA[4]. It would be interesting to try that.
Really nice links... Thanks! Will take a look at it and compare and contrast for better tuning. :) Feel free to do the same and raise some pull requests :)
Here at The New York Times we are using it to power some of our recommendation algorithms. We are actually training the models with Python and serving them with Go using gonum.
Our library was just open sourced (and still in my personal account, until we add more documentation): https://github.com/jbochi/facts
MJPEG is indeed much better for this. It uses less bandwidth (GIFs have no compression) and less browser memory (old frames can be discarded). When I was at globo.com, we developed this to serve animated thumbnails for live video streams: https://github.com/jbochi/live_thumb
