​​China’s Xpeng sees 10,000 pre-orders in an hour for new budget EV

​​Some of you may be wondering why we are posting our in-depth performance analysis of Splinter Cell: Conviction two weeks after release.

​​Jaegle and team confront the question of how the models should scale as they become more and more ambitious in those multimodal input and output tasks.​​where a cross-attention takes place.

​​But the challenge remained that a Perceiver cannot generate outputs the way the Transformer does because that latent representation has no sense of order.​​which should equal more sophistication in the programs output.​​Perceivers cannot be used directly for autoregressive generation.

​​Also: DeepMinds Gato is mediocre.​​Perceiver AR scales to 65k context length.

​​and the latent representation.

​​ Also: Googles Supermodel: DeepMind Perceiver is a step on the road to an AI machine that could process anything and everythingThe Transformer.​​Theres still plenty out there to surprise me.

​​But then late one night I was up on our small roof terrace.​​from graphs showing what birds are most common at what time of day.

​​Through the worst of the pandemic lockdowns I started a new hobby.​​I suspect it will be easier to write my own Twitter client for the package in Python to get the type of more complex and nuanced notifications I want.