Social bias is your first priority? 🤦‍♂️

Quick question, how it this any different than just sims? I find it extremely cool and interesting that this study is being done but I would like to know how does research differ from anything already done?

is that gman in the intro?

My PhD professor is also a Korean and his last name is also Park. What I learned from this presentation is that all Korean Genius share the last name Park.

This is the true commencement of AGI

The second lecture ends at 3:06:00 min, followed by some Q&A

The second lecture begins at the 1:51:00 min mark. Skip to this point if you want to learn how artificial neural networks are used in speech recognition. The first lecture is very useful to understand some concepts in the second lecture well, but the second lecture is otherwise fairly self contained.

There are fun audio examples from 1:39:00 min to 1:50:00 min, and some observations about spontaneous speech and its impact on speech recognition systems.

The first lecture ends at the 1:24:00 min mark. There is a break after that before the second lecture begins.

The first lecture begins at the 11:00 min mark. CLSP should edit the raw video and remove the dead-time at the beginning.

Nice lecture ...I am also working on similiar problem

um.

Thanks. 😊

Jones Daniel Wilson Deborah Thomas Michael

Thanks.

Thanks.

Great work for the Community ! Thx

Bloombusters

Thanks.

Once Rayban Meta gets this and augmented reality we will be living in the sci fi future

I like the idea of a semantic approach. This method still seems like it would be vulnerable to sentence reordering.

I am sorry, but is there no sound from 58:36 till 1:00:42? Thank you for uploading this awesome Talk!

@1:13:56 Ken was ahead of his time (also @1:17:24)

Thanks.

thx for sharing! insightful presentation on underrated languages~

Thanks.

😈 *Promosm*

Now why not try visualisation in your mind because this will teach more with different teaching methods Now there will teach so much more with much more speed and better results then with the mind we utilise our best tool

fantastic

Thanks for this wonderful tutorial tutorial ❤

Upload latest videos not old one

Hi, great talk. Is it possible to get that presentation material?

*She does not know anything...lawyer*

This is great talk . I learnt a lot . I am currently working on speaker diarization problem and pyannote is by far the best for our use case . Great work Herve .

This was really interesting But it would be more interesting if it was an uncensored experiment since our world in itself is uncensored (i get that this could get wild and what you show here is only as a concept). Like one of the things you said that they always adress each other formally, very similar to GPT. If it were more unleashed the agent may start to develop their own kind of language over time and between each other and saying good morning to your spouse gets shortned just to just a good morning, or something else they develop to say to each other. And starts to say inside jokes perhaps? But that would require the emotion part I'll talk about later. Don't know how deep the generative part goes or if GPT needs to reach "system 2" before we can see this type of behaviour. And since agents don't really have a mood they will always be pretty neutral on all encounters and is only simulated through already learnt in behaviour. Although i think it wouldn't give a real interpretation of our world even if it was uncensored, stuff like emotions and consequences, and emotions which will come due to that consequence etc. (like serving jailtime) and that we have a limited timespan, and that our live is sectioned up into parts (child, teen, young adult, mid adult, etc) needs to be adressed aswell. For example an old man might be more inclined to do a certain crime than a younger person, because his life is soon over anyway). For a hypothetical smallville example: John invites his crush Jennifer to his birthday party, but Kenny invites Jennifer at the same time to watch a new netflix serie and she goes there instead, John resents this and kills John after his birthday party to get Jennifer to himself. A real person would go through so much reasoning and consequence thinking before reaching such a conclusion, and to kill another person because of such a reason is primarly just emotions, and all our actions comes from some kind of emotion. So some kind of atleast basic simulated emotion and consequence thinking (the sims style-ish) to get the real interesting drama to come out as a next step, that would be really cool to see as a smallville 2.

What would it take to have this mini community available online, like on a website? Where visitors like us can view these agents realtime and see what are their doing for that specific moment. Fascinating to see what are their up to next.

at 24:05 an erroneous result is presented that is accepted as fact by the panel of experts, and is in fact presented when I Google search the same question. Pearls from otters are NOT used in inlays for guitars, but rather Mother Of Pearl, which comes from abalone shell. It is easy to see how the mistake is made, but illustrates the difficulty of fact checking AI answers.

Thankyou. Interesting. These deep dives into how the media mould minds are fascinating. I may have misunderstood, but the slides suggest that in 2002 more people received their news from TV than the internet. 20 years ago that might have been true, but I'd be shocked if this were so today.

I LOVE this! Please do a cooperation with Electronic Arts and make a sims4 style computer game with similar graphics but generative agents <3

Thanks a lot for this talk! I have one question regarding the co-occurrence matrix. At 19:45 you said, that the content of the matrix is for how long the "colors" overlap in seconds. So my question is, why is there a 2 for blue and grey if they overlap twice for all together at least as long as pink and red. So shouldn't grey and blue be at least 3 if not 4? I would greatly appreciate it if you could tell me what I am missing. Thanks alot!

BA-LR not BA-LHR. Could you please correct it in the title? Thank you

s/Berdin/Bredin

Wow. The CMU engineering program is a phenomenal juggernaut . Such a large body of high quality research .

🤔 P r o m o s m

Thanks.

Fascinating! I have a little AI staff team I’m trying to learn how to get them to be more independent! A question that comes up for me: Klaus is a dedicated sociology student who has an interest in gentrification. Is this ‘experienced’ as a superficial identity label/label given to explain his activity, or does he see Smallville through the lens of a sociology student? Does he observe things related to gentrification in a way which the other characters wouldn’t even notice?

Thanks.

Have you considered allowing them to have money? "You job just paid your $1500 monthly paycheck. You have a monthly rent of $700." (Either as some sort of disembodied "world character", or by the people doing the charges and payments themselves in the world such as a landlord/job boss/etc?) I think having negative stimulus can really help things along. "You didn't pay your rent. Now you have to live outside in a cardboard box. Your living condition is terrible." What if you had a disembodied "world character" that dolls out negative stimulus randomly? 😲 ("Today, you got into a car accident.")

Thanks.

I wonder how this experiment would behave on smaller models. I.e. Agents would use specific (specialized?) small model depending on their role or select from a pool of small models depending on situation?