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Cake day: June 15th, 2023

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  • I don’t know about this specific case, but it’s common for the big name researchers not to do any actual research or play any direct part in generating their images. That’s often done by kids - 25 year old grad students, even 20 year old undergrads - or other trainees. Those people may not appreciate how easy it is to detect image manipulation and are still learning what kinds of ‘refining’ of imagery and datasets is acceptable, while the PI that pays their stipend or sponsors their visa rages at their inability to get an expected outcome or replicate a previous result.

    Not saying there aren’t people out there just flat-out frauding, but these are group projects with a structure of trust and pressure that can muddy assignment of culpability. Like any committee or corporate action, it can be tough to say that any one individual is the guilty party or which people where just going along with the group.



  • Even if you ignore all the neuromodulatory chemistry, much of the interesting processing happens at sub-threshold depolarizations, depending on millisecond-scale coincidence detection from synapses distributed through an enormous, and slow-conducting dendritic network. The simple electrical signal transmission model, where an input neuron causes reliable spiking in an output neuron, comes from skeletal muscle, which served as the model for synaptic transmission for decades, just because it was a lot easier to study than actual inter-neural synapses.

    But even that doesn’t matter if we can’t map the inter-neuronal connections, and so far that’s only been done for the 300 neurons of the c elegans ganglia (i.e., not even a ‘real’ brain), after a decade of work. Nowhere close to mapping the neuroscientists’ favorite model, aplysia, which only has 20,000 neurons. Maybe statistics will wash out some of those details by the time you get to humans 10^11 neuron systems, but considering how badly current network models are for predicting even simple behaviors, I’m going to say more details matter than we will discover any time soon.



  • I think about the Vision like I think about a new Gucci bag or a new set of Air Jordans. There’s a small, but very visible, community that is super into that product, probably for reasons not related to its actual functionality. The difference is that there’s a lot of overlap between Apple fans and broader technology enthusiast groups, where we’re more isolated from the Gucci and Jordan communities. There are lots of brand-based fan groups who will happily accept branded merch or content, but not interpret that as ‘advertising.’

    The rest of the world tolerates spyware and especially ads if they feel like the product is worth the intrusion. There’s a reason Meta doesn’t have a logo watermark foating in the corner of Quest view field. There’s a reason VR is still very niche, almost entirely limited to gaming.

    Maybe Vision’s AR experience will change that. Maybe viewing your entire life through a video camera with overlaid graphics has real-world value beyond privacy in co-working spaces. I doubt that value is $3000 and think Vision is more like Apple’s Newton than Apple’s iPhone.