Oh I read a Erik Hoel's paper before hand. Now I feel prepared lol
@nicolasgoulet40913 ай бұрын
Knowing where and when something happens in the brain Will never Tell us how and why something happens in the brain. Functional localisation is helpful for clinical neuro science but if what interests you is the reverse-engineering of the brain, when and where DOES NOT HELP
@davidhand97212 ай бұрын
I disagree. While any individual datum of this form may not be able to tell you anything useful, they combine to form a very informative background for deeper theories. Where and when support models of connectivity, representation, and ultimately processing. Further, these observations verify empirically what we presume from our experience of the world; intuition is historically a very poor source of information.
@nicolasgoulet40912 ай бұрын
@@davidhand9721 Don't get me wrong, most of my research in cognitive neuroscience is based on results gathered from EEG experiments I designed. I think there is a slight contradiction at the end of your comment. You mention intuition as a poor source of information ; yet you propose that it ''verfies empirarically what we presume from our experience of the world'' sounds an awful lot like folk psychology but that you throw a FMRI at to say : look I have data to back it up. I am of the school of thought that when you understand something you can build an equivalent. We are nowhere close to that, and I doubt it is just a quesiton of having more better biggerer scanners. We allready have connectomes of much smaller brains YET we still have NO IDEA how behaviour emerges from that.
@fintech13787 ай бұрын
this is the future
@fintech13787 ай бұрын
emergent shit is like success
@EverythingEverywhereFun8 ай бұрын
She fled to China after drunk driving killed a man?
@mikeg136810 ай бұрын
Takeaway: Always keep the Big Picture in mind (to de-noise the details). Also, see more details since they affect the big picture!
@AlgoNudger10 ай бұрын
Thanks.
@AlgoNudger10 ай бұрын
Thanks.
@stevenjacobs2750 Жыл бұрын
This talk did not age particularly well! Its pretty funny to see the criticism from Bar-Hillel echoed such few short years ago because what he described as laughable on its face seems to be exactly what we have now.
@yunootsuka9093 Жыл бұрын
This is very cool! I’m a very big fan of him too
@bretvh Жыл бұрын
There's nothing new under the sun
@slygryphon Жыл бұрын
Wow, we have come so far since then (although the video is dated 2022, I think it is actually 2018 based on some of the dates on slides, e.g. at 34:50). Hofstadter is of course right, you can't translate without understanding. The conclusion is then that GPT-4 does understand. Little John was looking for his toy box. Finally he found it. The box was in the pen. John was very happy. 小约翰在找他的玩具盒。最后他找到了。盒子在围栏里。约翰非常高兴。 The roofer came down form the hospital roof carrying a case of shingles. 屋顶工人从医院屋顶下来,携带了一箱屋顶瓦片。 鹿柴 (王维) 空山不见人, 但闻人语响. 返景入深林, 复照青苔上. Deer Enclosure (Wang Wei) In the empty mountains, no one is seen, Yet echoes of human voices are heard. Sunlight enters the deep forest, Again illuminating the green moss. You can verify the translations by asking GPT-4 to explain.
@swarmaclub7350 Жыл бұрын
Yes, this video is Hofstadter‘s speech from 2018. Without a doubt, GPT4 has performed impressively in both its comprehension ability and evolution speed. we have been organizing reading club to discusses relationship between GPT and consciousness. If you are interested: pattern.swarma.org/study_group/23
@cookie7743 Жыл бұрын
请问有这个算法框架的代码或者是论文出处嘛,谢谢
@swarmaclub7350 Жыл бұрын
pattern.swarma.org/study_group_issue/445
@swarmaclub7350 Жыл бұрын
这个网站的资料比较详细 可以移步到这里
@chillyfinger Жыл бұрын
His grand summary mirrors objections to AI that were voiced in the early days of "AI." It boils down to the fact that a machine cannot "speak" intelligibly because human speech is a web of analogies, ultimately based on human experience that a machine cannot have. What we didn't understand back then was the effect of turning the whole enterprise over to corporations bent on providing commercial products. Now, the general public more or less accepts the idea that we will eventually have a machine that "thinks." Hofstadter is now a lone voice in the wilderness, reminding us of what "thinking" really is.
@chillyfinger Жыл бұрын
Hofstadter labors in obscurity as the only real expert on how human language works.
@borntobemild- Жыл бұрын
Google and openai actually have far better translation tools that could benefit from Douglas Hofstadters direction with
@chillyfinger Жыл бұрын
True. At least for the examples he provides, context is key. Chat-GPT is good at context because it works with a "knowledge base" behind the scenes, based on huge selections of text. Chat-GPT was available when this lecture was given.