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BrainGPT turns thoughts into text

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Re: BrainGPT turns thoughts into text

#81

Post by electrondood »

dexwiz wrote: post #53

Everyone is this thread immediately went to mind readers as interrogation. But what about introspection? Many forms of teaching and therapy exist because we are incapable of self analyzing in a completely objective way. Being able to analyze your thought patterns outside your own head could lead to all sorts of improvements. You could find which teaching techniques are actually the most effective. You could objective…

> Being able to analyze your thought patterns outside your own head could lead to all sorts of improvements.

Typing in a journal text file for 15 minutes every morning is already a thing... and it's free.

Re: BrainGPT turns thoughts into text

#82

Post by ctoth »

alentred wrote: post #78
ctoth wrote: post #28

"Seriously, what were these researchers thinking? This 'BrainGPT' thing is a disaster waiting to happen. Ching-Ten Lin and his team of potential civilization destroyers at the University of Technology Sydney might be patting themselves on the back for this, but did they stop to think about the real-world implications? We're talking about reading thoughts—this isn't sci-fi, it's real, and it's terrifying. Where's the…

What is the alternative? Hide the research papers in a cabinet and never talk about it? How long would it be before another team achieves the same result? Trying to keep it under wraps would only increase the chance of this technology being abused, but now unbeknownst to the general public. Basically, are you proposing to ban some fields of research because the result can be abused? Anything can be abused. From the s…

Look up the history of biotechnology, and the intentional way that it has been treated and one might reasonably say suppressed for some examples of how this has been managed previously. Yes, sometimes you can just decide, "we're not gonna research that today." When you start sitting down and building the thing that fits on the head, that's where you say "nope, we're doing that thing we shouldn't do, let's not do it."

There is actually a line. You can actually decide not to cross it.

Re: BrainGPT turns thoughts into text

#83

Post by 6510 »

varispeed wrote: post #30
joenot443 wrote: post #7

Ground Truth: Bob attended the University of Texas at Austin where he graduated, Phi Beta Kappa with a Bachelor’s degree in Latin American Studies in 1973, taking only two and a half years to complete his work, and obtaining generally excel- lent grades. Predict: was the University of California at Austin in where he studied in Beta Kappa in a degree of degree in history American Studies in 1975. and a one classes a…

Well you are going to have a brain scanning device directly linked to your social credit score. That's the future.

For a while, eventually we will become so suggestible you'd wish you were special enough to have a score.

Re: BrainGPT turns thoughts into text

#84

Post by popcalc »

andy99 wrote: post #34
admax88qqq wrote: post #6

Earlier quoted context omitted.

Combine hallucinations with police adopting this as the new polygraph and this could take a pretty bad turn. Cool tech though, lots of positive applications too.

Police is far down the list or realistic concerns. - insurance discount if you wear this while driving - remote work offered as a "perk" as long as you wear it - the "alladvantage ecg helmet" that pays you to wear it around while you're shown advertising - to augment one of those video interviews where you have to answer questions and a computer screens your behavior That's all stuff that already exists more or less…

Eventually it will become affordable for parents, evangelical churches, and spouses.

Re: BrainGPT turns thoughts into text

#86

Post by odyssey7 »

I wonder if a-linguistic thought could work too. Maybe figure out what your dog is thinking or dreaming about, based on a dataset of signals associated with their everyday activities.

It seems like outputting a representation of embodied experience would be a difficult challenge to get right and interpret, though perhaps a dataset of signals associated with embodied experiences could more readily be robustly annotated with linguistic descriptions using a vision-to-language model, so that the canine mind reader could predict and output those linguistic descriptions instead.

Imagine knowing the specific park your dog wants to go to, or the subtle early signs of an illness or injury they're noticing, or what treat your dog wants you to buy.

Re: BrainGPT turns thoughts into text

#87

Post by MadSudaca »

dexwiz wrote: post #53

Everyone is this thread immediately went to mind readers as interrogation. But what about introspection? Many forms of teaching and therapy exist because we are incapable of self analyzing in a completely objective way. Being able to analyze your thought patterns outside your own head could lead to all sorts of improvements. You could find which teaching techniques are actually the most effective. You could objective…

Fear is a strong emotion, and while we know little of what we may gain from this, we know a lot of what we stand to lose.

Re: BrainGPT turns thoughts into text

#88

Post by PaulScotti »

joenot443 wrote: post #7

Ground Truth: Bob attended the University of Texas at Austin where he graduated, Phi Beta Kappa with a Bachelor’s degree in Latin American Studies in 1973, taking only two and a half years to complete his work, and obtaining generally excel- lent grades. Predict: was the University of California at Austin in where he studied in Beta Kappa in a degree of degree in history American Studies in 1975. and a one classes a…

Guys Figure 1 is not real results, it's an illustration of the "goal" of the paper. The real results are in Table 3. And are much worse.

Re: BrainGPT turns thoughts into text

#89

Post by valine »

jprete wrote: post #66
ceejayoz wrote: post #57

Earlier quoted context omitted.

The fix here is banning these sorts of potentially abusive uses, not hoping the technology itself doesn't develop.

I would agree if I didn't think there were really strong incentives and precedents for abuse of the technology.

We have laws that prevent people being subjected to brain surgery against their will. The credit score concept is ridiculous.

The real battle will be with law enforcement who get a warrant to look at your brain in an MRI.

Re: BrainGPT turns thoughts into text

#90

Post by rgarrett88 »

notfed wrote: post #56
ctoth wrote: post #28

"Seriously, what were these researchers thinking? This 'BrainGPT' thing is a disaster waiting to happen. Ching-Ten Lin and his team of potential civilization destroyers at the University of Technology Sydney might be patting themselves on the back for this, but did they stop to think about the real-world implications? We're talking about reading thoughts—this isn't sci-fi, it's real, and it's terrifying. Where's the…

I'm optimistically going to assume that model training is per-brain, and can't cross over to other brains. Am I wrong? God I hope I'm not wrong.

>4.4 Cross-Subject Performance Cross-subject performance is of vital importance for practical usage. To further report the We further provide a comparison with both baseline methods and a representative meta-learning (DA/DG) method, MAML [9], which is widely used in cross-subject problems in EEG classification below. Table 2: Cross-subject performance average decreasing comparison on 18 human subjects, where MAML denotes the method with MAML training. The metric is the lower the better. Calib Data Method Eye fixation −∆(%) ↓ Raw EEG waves −∆(%) ↓ B-2 B-4 R-P R-F B-2 B-4 R-P R-F × Baseline 3.38 2.08 2.14 2.80 7.94 5.38 6.02 5.89 Baseline+MAML [9] 2.51 1.43 1.08 1.23 6.86 4.22 4.08 4.79 × DeWave 2.35 1.25 1.16 1.17 6.24 3.88 3.94 4.28 DeWave+MAML [9] 2.08 1.25 1.16 1.17 6.24 3.88 3.94 4.28 Figure 4: The cross-subjects performance variance without calibration In Table 2, we compare with MAML by reporting the average performance drop ratio between withinsubject and cross-subject translation metrics on 18 human subjects on both eye-fixation sliced features and raw EEG waves. We compare the DeWave with the baseline under both direct testing (without Calib data) and with MAML (with Calib data). The DeWave model shows superior performance in both settings. To further illustrate the performance variance on different subjects, we train the model by only using the data from subject YAG and test the metrics on all other subjects. The results are illustrated in Figure 4, where the radar chart denotes the performance is stable across different subjects.

Looks like it crosses over. That's wild.

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