no, they didn't figure it out
they will research more about that language though
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Poem Written by Google Brain
- Thread starter thomian
- Start date
no, they didn't figure it out
they will research more about that language though
ස්තූතියි කියා දුන්න එකට.
ලංකාවේ වගේරටක් උනානම් ගොසිප් සයිට් වල මොන වගේ ටොපික් දායිද..
එහෙනම් හොද හොද topic ටිකක් දායි
Facebook Artificial Intelligence Research ටීම් එකෙන් හදල තියනවා chatbot කියල computer program එකක් එකෙන් පුළුවන් bot ල දෙන්නෙක් හො මිනිස්සු එක්ක text based කතාබහක් කරන් යන්න,
ඉතින් ඒකට Bob සහ Alice කියල නම් දෙකක් දීල වැඩේ පටන් අරන් ඉතින් ටික දවසක් යදි මේ AI දෙක මිනිස්සුන්ට නොතේරෙන වෙනම භාෂාවකින් කතා කරගන්න පටන් අරන්
එකේ sample එකක්
Facebook's AI language
Bob: i can i i everything else . . . . . . . . . . . . .
Alice: balls have zero to me to me to me to me to me to me to me to me to me
Bob: you i everything else . . . . . . . . . . . .
Alice: balls have a ball to me to me to me to me to me to me to me
Bob: i i can i i i everything else . . . . . . . . . . . .
Alice: balls have a ball to me to me to me to me to me to
Bob: i . . . . . . . . . . . . . . . . . . .
මෙහෙම නොතේරෙන මගුල් මුන් කතාකරගෙන මොනවා කරයිද දන්නේ නැති නිසා facebook AI team එක මේ program එක නවත්තල
Okkoma hari ekak arenna
oka shutdoen kale monawa karai da kiyana bayata nemei.. un chat bot haduwe minissu ekka chat karanna misak bot vs bot katha karanna nemei.. ekai hethuwa shutdown karanna 
Okkoma hari ekak arenna
ඔව් හරි ඒක තමයි උන්ගේ intention එක
ඔය කියුවට threat to mankind කියලත් උන් හිතන්න ඇති
ඔව් හරි ඒක තමයි උන්ගේ intention එක
ඔය කියුවට threat to mankind කියලත් උන් හිතන්න ඇති
Mmm ow kiyana mala wikarayak theren nane.. eka loku threat ekak
Eth machine learning thama real AI lagawath na kiyala thamai kiyanne.. so baya wenna deyak na.Mmm ow kiyana mala wikarayak theren nane.. eka loku threat ekak
හ්ම්ම්.. මේ විදියට ගියොත් නම් වැඩි ඈතක් නෑ බන්
අඩෝ පට්ට බංඅපි ලෝකෙ AI ලට බාරදීල වඳවෙලා යයිද දන්නෑ
ඔව් මටත් Ai කෙනෙක් හදා ගෙන ඌව වැඩට යවන්න පුලුවන් නම්
Podi Silva - පොඩි සිල්වා;22270520 said:ඔව් මටත් Ai කෙනෙක් හදා ගෙන ඌව වැඩට යවන්න පුලුවන් නම්
වැඩක් නෑ ඌ උඹව වැඩට යවයි
උඹල ආස ඇති කියල හිතල කොපි පේස්ට් කරනව
Jake ChateauJayesh LalwaniMariano ZomeñoRobert LockwoodJesse RaffieldJason LiRajarshi Bandopadhyay (রাজর্ষি বন্দোপাধ্যায়)Daniel James BergerAnu IyerSenia SheydvasserSteve HarrisAzim JavedJake Chateau, Jayesh Lalwani, Mariano Zomeño, and 9 more upvoted this
Mike Sellers
Mike Sellers, Designed and developed the Dynemotion People Engine (in cooperation with DARPA) to create social AI agents....
Answered Sep 7 · Upvoted by Jason Li, AI researcher. and Erdem Gökgezer, Ph.D Computer Vision & Machine Learning, METU, Ankara
Does virtual cannibalism count?
In the early 2000s, I was working on some social AI for DARPA: we were making agents that learned to interact socially together. For one simulation, we had two agents, naturally enough named Adam and Eve. They started out knowing how to do things, but not knowing much else. They knew how to eat for example, but not what to eat. We’d given them an apple tree (the symbolism of that honestly didn’t occur to us at the time), and they found that eating the apples made them happy. They had also tried eating the tree, the house, etc., but none of those worked. There was also another agent named Stan, who wanted to be social but wasn’t very good at it, so was often hanging around and kind of lonely.
And of course, there were a few bugs in the system.
So at one point, Adam and Eve were eating apples… and this is where the first bug kicks in: they weren’t getting full fast enough. So they ate all the apples. Now, these agents learned associatively: if they experienced pain around the time they saw a dog, they’d learn to associate the dog with pain. So, since Stan had been hanging around while they were eating, they began to associate him with food (bug #2 — you can see where this is going).
Not long into this particular simulation, as we happened to be watching, Adam and Eve finished up the apples on the tree and were still hungry. They looked around assessing other potential targets. Lo and behold, to their brains Stan looked like food.
So they each took a bite out of Stan.
Bug #3: human body mass hadn’t been properly initialized. Each object by default had a mass of 1.0, which is what Stan’s body was. Each bite of food took away 0.5 unit of mass from whatever was being eaten. So, when Adam and Eve both took a bite of Stan, his mass went to 0.0 and — he vanished. As far as I know, he was the first victim of virtual cannibalism.
We had to reconstruct some of this after the fact from the agents’ internal telemetry. At the time it was pretty horrifying as we realized what had happened. In this AI architecture, we tried to put as few constraints on behaviors as possible… but we did put in a firm no cannibalism restriction after that: no matter how hungry they got, they would never eat each other again. We also fixed their body mass, how fast they got full, and changed the association with someone else from one of food to the action of eating: when you have lunch with someone often you may feel like going to eat when you see them again — but you wouldn’t think of turning them into the main course!
What is the creepiest thing any AI has done so far?
Jake ChateauJayesh LalwaniMariano ZomeñoRobert LockwoodJesse RaffieldJason LiRajarshi Bandopadhyay (রাজর্ষি বন্দোপাধ্যায়)Daniel James BergerAnu IyerSenia SheydvasserSteve HarrisAzim JavedJake Chateau, Jayesh Lalwani, Mariano Zomeño, and 9 more upvoted this
Mike Sellers
Mike Sellers, Designed and developed the Dynemotion People Engine (in cooperation with DARPA) to create social AI agents....
Answered Sep 7 · Upvoted by Jason Li, AI researcher. and Erdem Gökgezer, Ph.D Computer Vision & Machine Learning, METU, Ankara
Does virtual cannibalism count?
In the early 2000s, I was working on some social AI for DARPA: we were making agents that learned to interact socially together. For one simulation, we had two agents, naturally enough named Adam and Eve. They started out knowing how to do things, but not knowing much else. They knew how to eat for example, but not what to eat. We’d given them an apple tree (the symbolism of that honestly didn’t occur to us at the time), and they found that eating the apples made them happy. They had also tried eating the tree, the house, etc., but none of those worked. There was also another agent named Stan, who wanted to be social but wasn’t very good at it, so was often hanging around and kind of lonely.
And of course, there were a few bugs in the system.
So at one point, Adam and Eve were eating apples… and this is where the first bug kicks in: they weren’t getting full fast enough. So they ate all the apples. Now, these agents learned associatively: if they experienced pain around the time they saw a dog, they’d learn to associate the dog with pain. So, since Stan had been hanging around while they were eating, they began to associate him with food (bug #2 — you can see where this is going).
Not long into this particular simulation, as we happened to be watching, Adam and Eve finished up the apples on the tree and were still hungry. They looked around assessing other potential targets. Lo and behold, to their brains Stan looked like food.
So they each took a bite out of Stan.
Bug #3: human body mass hadn’t been properly initialized. Each object by default had a mass of 1.0, which is what Stan’s body was. Each bite of food took away 0.5 unit of mass from whatever was being eaten. So, when Adam and Eve both took a bite of Stan, his mass went to 0.0 and — he vanished. As far as I know, he was the first victim of virtual cannibalism.
We had to reconstruct some of this after the fact from the agents’ internal telemetry. At the time it was pretty horrifying as we realized what had happened. In this AI architecture, we tried to put as few constraints on behaviors as possible… but we did put in a firm no cannibalism restriction after that: no matter how hungry they got, they would never eat each other again. We also fixed their body mass, how fast they got full, and changed the association with someone else from one of food to the action of eating: when you have lunch with someone often you may feel like going to eat when you see them again — but you wouldn’t think of turning them into the main course!
උඹල ආස ඇති කියල හිතල කොපි පේස්ට් කරනව
What is the creepiest thing any AI has done so far?
Jake ChateauJayesh LalwaniMariano ZomeñoRobert LockwoodJesse RaffieldJason LiRajarshi Bandopadhyay (রাজর্ষি বন্দোপাধ্যায়)Daniel James BergerAnu IyerSenia SheydvasserSteve HarrisAzim JavedJake Chateau, Jayesh Lalwani, Mariano Zomeño, and 9 more upvoted this
Mike Sellers
Mike Sellers, Designed and developed the Dynemotion People Engine (in cooperation with DARPA) to create social AI agents....
Answered Sep 7 · Upvoted by Jason Li, AI researcher. and Erdem Gökgezer, Ph.D Computer Vision & Machine Learning, METU, Ankara
Does virtual cannibalism count?
In the early 2000s, I was working on some social AI for DARPA: we were making agents that learned to interact socially together. For one simulation, we had two agents, naturally enough named Adam and Eve. They started out knowing how to do things, but not knowing much else. They knew how to eat for example, but not what to eat. We’d given them an apple tree (the symbolism of that honestly didn’t occur to us at the time), and they found that eating the apples made them happy. They had also tried eating the tree, the house, etc., but none of those worked. There was also another agent named Stan, who wanted to be social but wasn’t very good at it, so was often hanging around and kind of lonely.
And of course, there were a few bugs in the system.
So at one point, Adam and Eve were eating apples… and this is where the first bug kicks in: they weren’t getting full fast enough. So they ate all the apples. Now, these agents learned associatively: if they experienced pain around the time they saw a dog, they’d learn to associate the dog with pain. So, since Stan had been hanging around while they were eating, they began to associate him with food (bug #2 — you can see where this is going).
Not long into this particular simulation, as we happened to be watching, Adam and Eve finished up the apples on the tree and were still hungry. They looked around assessing other potential targets. Lo and behold, to their brains Stan looked like food.
So they each took a bite out of Stan.
Bug #3: human body mass hadn’t been properly initialized. Each object by default had a mass of 1.0, which is what Stan’s body was. Each bite of food took away 0.5 unit of mass from whatever was being eaten. So, when Adam and Eve both took a bite of Stan, his mass went to 0.0 and — he vanished. As far as I know, he was the first victim of virtual cannibalism.
We had to reconstruct some of this after the fact from the agents’ internal telemetry. At the time it was pretty horrifying as we realized what had happened. In this AI architecture, we tried to put as few constraints on behaviors as possible… but we did put in a firm no cannibalism restriction after that: no matter how hungry they got, they would never eat each other again. We also fixed their body mass, how fast they got full, and changed the association with someone else from one of food to the action of eating: when you have lunch with someone often you may feel like going to eat when you see them again — but you wouldn’t think of turning them into the main course!
අනුන්ගෙ එකක් කොපි කරපු එකේ සින්නලෙන්වත් දාපිය
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