It's worth noting that this isn't new technology. This paper is specifically about how their new technique provides a small but statistically significant improvement on existing techniques.
The fact that they provide code and dataset is really praiseworthy.
COconsumer45111小时前
Please see my bio for the full rant. The key take-away is:
> While we missed the boat on Internet tracking, there is still time to avoid sailing through the final frontier of neural tracking.
> Thanks to the BCI, we will soon be offered the trade of our privacy for the convenience of password-free login and faster typing. Next, there will be a quick TSA neural scan prior to boarding...
RUrushil_b_patel6小时前
Mark always been framed/stated for stealing user's data or invasing user's privacy but apart from these, this guy has always been one step ahead in making new research, technology possible by experimenting new things. First with the AR/VR which didn't work I guess so he pivoted from that to Rayban glasses, and now this.
ALalexpotato14小时前
So attended an interesting talk a couple years ago:
- fMRI and/or brain implants are the best to figure out brain waves
- but they are expensive or invasive
- EEG is a lot cheaper and easier but not as precise
- BUT what if you used LLMs to analyze EEG data taken at the same time as brain implants etc
The answer seemed to be that "yes, you can get better than traditional EEG data using EEG + LLMs". Curious to see where this ends up and hopefully not that like that Black Mirror episode with the brain scanning leading to murders.
BPbpiche12小时前
I still think of this video often and wonder if it is building on any of that technology, almost 10 years old now. Just looking at this whitepaper it seems like they both use some kind of infrared transcranial light, but never imagined the machine in the original iteration was so big
[Regina Dugan's Keynote at Facebook F8 2017 | Inverse]
https://www.youtube.com/watch?v=kCDWKdmwhUI
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It's worth noting that this isn't new technology. This paper is specifically about how their new technique provides a small but statistically significant improvement on existing techniques. The fact that they provide code and dataset is really praiseworthy.
Please see my bio for the full rant. The key take-away is: > While we missed the boat on Internet tracking, there is still time to avoid sailing through the final frontier of neural tracking. > Thanks to the BCI, we will soon be offered the trade of our privacy for the convenience of password-free login and faster typing. Next, there will be a quick TSA neural scan prior to boarding...
Mark always been framed/stated for stealing user's data or invasing user's privacy but apart from these, this guy has always been one step ahead in making new research, technology possible by experimenting new things. First with the AR/VR which didn't work I guess so he pivoted from that to Rayban glasses, and now this.
So attended an interesting talk a couple years ago: - fMRI and/or brain implants are the best to figure out brain waves - but they are expensive or invasive - EEG is a lot cheaper and easier but not as precise - BUT what if you used LLMs to analyze EEG data taken at the same time as brain implants etc The answer seemed to be that "yes, you can get better than traditional EEG data using EEG + LLMs". Curious to see where this ends up and hopefully not that like that Black Mirror episode with the brain scanning leading to murders.
I still think of this video often and wonder if it is building on any of that technology, almost 10 years old now. Just looking at this whitepaper it seems like they both use some kind of infrared transcranial light, but never imagined the machine in the original iteration was so big [Regina Dugan's Keynote at Facebook F8 2017 | Inverse] https://www.youtube.com/watch?v=kCDWKdmwhUI