Teodolfo

If these values really meant anything, then Anthropic should stop working with Palantir entirely given their work with ICE, domestic surveilance, and other objectionable activities.

Direct indexing is WAY more valuable to US citizens living in the EU than US citizens living in the USA because of the painful intersection of MiFID II rules and US tax law (PFIC tax cancer makes buying EU domiciled funds a non-starter). Brokers will not sell US domiciled ETFs to US citizens living in the EU unless they can opt out of the consumer disclosure rules (e.g. by becoming an elective professional client of their broker under MiFID II rules). So these 2 million US expats have no choice but to manage a portfolio of individual stocks or pay exorbitant AUM fees. The first half-way decent direct indexing product that accepts US expats residing in the EU will make a killing!

Going from 25% top-one error to 22% top-one error is a massive jump on ImageNet and very meaningful in a lot of applications. That said, there is no reason to believe attention-based models are the only way forward on image classification. The humble ResNet-50 can get near 22% top-1 error when trained properly.

Whether we need attention or not is a more interesting question on seq2seq models on text data.

Julia provides no meaningful advantages. PyTorch and JAX are too good. For typical deep learning workloads, Julia will not easily have a speed advantage. Everything goes down to the same cuDNN kernels anyway.

Julia seems like an attempt at a better matlab, but the machine learning world moved to python first.

(Also 1-based indexing is almost as obnoxious as the 24/7 Julia shill brigade.)

Execution quality matters and given enough order flow a they can still match client orders to make a profit without giving a worse price than NBBO.

In 2009 NVIDIA wouldn't give Geoff Hinton's group the time of day, let alone a single free GPU to try out to see if they wanted to buy more. Geoff Hinton spoke at a NIPS keynote in 2009 and told 1000 people in the audience to all go out and buy a specific NVIDIA card if they wanted to do work in this area and still NVIDIA didn't bat an eye.

I heard there were layoffs of engineers there. But obviously unrelated. OpenAI will continue unchanged.