Singularity is near: https://t.co/jyhDsFTBcE
RT @PlacidoDomenech: Apasionante este hilo… l paper de @DeepMind y RL ha causado revuelo 😅 Comparto muchas críticas pero no la base en que…
RT @PlacidoDomenech: Apasionante este hilo… l paper de @DeepMind y RL ha causado revuelo 😅 Comparto muchas críticas pero no la base en que…
Apasionante este hilo… l paper de @DeepMind y RL ha causado revuelo 😅 Comparto muchas críticas pero no la base en que se fundamentan y si apoyo el atrevimiento … aunque quizá errático de la propuesta. Seguro que nos sorprenden en el futuro. Apuesto por ell
RT @IntuitMachine: The "Reward is Enough" paper offers a piss-poor explanation as to how AGI is achieved. I'm actually more surprised that…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @IntuitMachine: The "Reward is Enough" paper offers a piss-poor explanation as to how AGI is achieved. I'm actually more surprised that…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
“reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, perception, social intelligence, language, generalisation and imitation” https://t.co/geozXxHOsq @sciencedirect #ai
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
Reward is enough - In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of reward. https://t.co/KUMEqpSOiG
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
RT @jaguring1: グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関…
グーグルのディープマインドの代表的な研究者であるシルバー氏や強化学習の創始者の1人であるサットン氏などが、「知能やそれに関わるあらゆる能力を獲得するためには、報酬の最大化の考え方だけで十分だ」と論文で主張している(シルバー氏はAlphaGoなどに関わった研究者) https://t.co/Crb7JOyZRI
RT @IntuitMachine: The "Reward is Enough" paper offers a piss-poor explanation as to how AGI is achieved. I'm actually more surprised that…
DeepMind puts forward the hypothesis that “intelligence, and its associated abilities, can be understood as subserving the maximization of reward”. Is meta-intelligence then the awareness of and the capability to redefine one's own reward mechanisms? htt
RT @IntuitMachine: The "Reward is Enough" paper offers a piss-poor explanation as to how AGI is achieved. I'm actually more surprised that…
The robots are coming Reinforcement learning could be enough to achieve general AI. https://t.co/kIkW1KrKDb
The "Reward is Enough" paper offers a piss-poor explanation as to how AGI is achieved. I'm actually more surprised that the @DeepMind wrote such a poorly constructed philosophical paper. https://t.co/RyRgaATo6g
Other than the click bait title, this is pretty good, but completely obvious to me. Something they are missing talking about is that the reward is simply an indicator of the human value placed on being in a particular state. https://t.co/MMlgsDdu7e
RT @aszapla: Reward is enough: "a conjecture that intelligence could emerge in practice from sufficiently powerful reinforcement learning a…
Interesting read https://t.co/n4IH7Y5a7P
@satnam6502 People are making quite strong statements about Reinforcement Learning ala https://t.co/Mur7xPj0LO
Check out "Reward is enough" at: https://t.co/q6GvVYvLju
Reward is enough https://t.co/JygPrnfV4x
Estudio indica hay capacidad para crear una Inteligencia Artificial General, lo cual permitirá el desarrollo de una nueva forma de vida sintetica #Futuro #AI #Transhumanism #ReinforcementLearning #Futurism #InteligenciaArtificialFuerte https://t.co/TrY23X
Hacía una verdadera IAG? Reward is enough https://t.co/lCp8IqJONm
RT @TMindkind: Finally, Google is already following our path towards #Algorithmic_Artificial_General_Intelligence #AAGI, though we do still…
Finally, Google is already following our path towards #Algorithmic_Artificial_General_Intelligence #AAGI, though we do still keep the essential "active principle" that underlies human thinking and behavior. @DotCSV @GoogleStartupES @GoogleES @Google https
Perhaps obvious, but brilliant nonetheless: https://t.co/yWQVQqmkNZ
#AGI on the brink? Probably still some way to go. But interesting...
Reward is enough: "a conjecture that intelligence could emerge in practice from sufficiently powerful reinforcement learning agents" @DeepMind about future #ArtificialIntelligence https://t.co/dLB9dK8rqw
RT @timbruysten: That could be fun... #AI #AGI https://t.co/9J18LolYwT
That could be fun... #AI #AGI https://t.co/9J18LolYwT
RL => AGI Oct '21 from @DeepMind: "The generic objective of reward maximisation contains within it many or possibly even all the goals of intelligence. Powerful reinforcement learning agents could constitute a solution to artificial general intelligenc
RT @checovenier: Reward is enough https://t.co/NG6dIM6oXi. Google’s DeepMind Says It Has All the Tech It Needs for General #AI #singularity…
DeepMind says #ReinforcementLearning is ‘enough’ to reach general #AI. https://t.co/HY2oQeY5Dc by @VentureBeat Reward is enough: https://t.co/kxfeRw7kCL https://t.co/TQZFDueyOl
So the #TechnoligicalSingularity may be happening sooner then many people believed. Google now has an #AI system that is better at designing computer chips then human beings. A #computer that can design the next better version of itself is all it takes. h
Reward is all you need🤔 A hypothesis by DeepMind that "the maximisation of total reward may be enough to understand intelligence and its associated abilities, ...such as knowledge, learning, perception, social intelligence, language, generalisation" https
RT @MunsterBAforum: The scientific community developing #AI are exploring how mimicking operant learning can have powerful effects. Wait un…
RT @MunsterBAforum: The scientific community developing #AI are exploring how mimicking operant learning can have powerful effects. Wait un…
The scientific community developing #AI are exploring how mimicking operant learning can have powerful effects. Wait until they get a hold of #RFT! #behavioralscience https://t.co/0gfxKG3goJ
RT @S_OhEigeartaigh: Bold positions taken by Silver (deepmind) & colleagues (including sutton): reward all you need to bring about the rang…
RT @jreuben1: Reinforcement Learning: reward maximization is enough to drive behaviour that exhibits abilities studied in natural and artif…
Reinforcement Learning: reward maximization is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, perception, social intelligence, language, generalisation and imitation https://
A bold move to rack up citations for references to the reward hypothesis: Silver et al. "Reward is Enough". A reverse-time traveling paper from the future (October 2021) https://t.co/LyfDFVlfnU
Reward is enough https://t.co/NG6dIM6oXi. Google’s DeepMind Says It Has All the Tech It Needs for General #AI #singularity is coming #AGI
An #AI paper that needs more than one reading, IMO. After one reading my Qs are: What is reward isn't enough; Will there be a (#AGI) tipping point that might prevent human correctional or cessation intervention? @EthicsInAI @IEAITUM @AiEthica @NHSX htt
Reward is enough https://t.co/rXeCzn8J6C
RT @adamoprogresso: Reward Is Enough https://t.co/3SIxJm6QgH uoix
RT @adamoprogresso: La ricompensa è sufficiente - ScienceDirect https://t.co/3SIxJm6QgH
DeepMind's latest paper is surprisingly light on evidence, and historically, AI has excelled at under-estimating difficulty. https://t.co/b3pz1v2X4Y
"Reward is enough - ScienceDirect" https://t.co/XD8IlYwKFk
RT @pcaversaccio: Bold Proposition: We can solve self-driving cars with reinforcement learning (#RL) alone. Take a look at the latest paper…
Bold Proposition: We can solve self-driving cars with reinforcement learning (#RL) alone. Take a look at the latest paper from the scientists at Deepmind: https://t.co/AbXLLRWuPS
Reward is enough. https://t.co/OOJ5h02MYv
RT @miroslavristic: #deepmind is trying to simulate the evolution from scratch, in order to develop general #AI. Let's see how fast and far…
@fchollet views? https://t.co/VfZteFALUJ
#deepmind is trying to simulate the evolution from scratch, in order to develop general #AI. Let's see how fast and far they can get. Have to admit, I'm a sceptic. https://t.co/wpD6tkuA71
Very interesting paper, I wonder how long it will take to start seeing such complex "artificial life" simulators. Nvidia Omniverse seems like an increasingly important piece of the puzzle. https://t.co/Xz13of7KJH
https://t.co/VQ65uiZO8U it’s an intriguing prospect: reinforcement learning as a path towards a true silicon mind.
Open access “Reward Is Enough”: https://t.co/oMpkR1FTKJ
RT @rootkid: Current #AI tech is enough to reach general intelligence, the company whose #ArtificialIntelligence defeated all the world's h…
Current #AI tech is enough to reach general intelligence, the company whose #ArtificialIntelligence defeated all the world's human Go champions says. https://t.co/XAFa3eLSn5
RT @S_OhEigeartaigh: Bold positions taken by Silver (deepmind) & colleagues (including sutton): reward all you need to bring about the rang…
RT @nickcammarata: The hippy oath “love is all you need” is deeper than people give it credit for I think love / affection is the bodymind…
ok is it just me or is this .... obvious https://t.co/oji4p2bIG0
when all you have is a carrot on a stick... https://t.co/Gbj4tTSuaB
Reward is enough - ScienceDirect https://t.co/3SIxJm6QgH xy uo
RT @nickcammarata: The hippy oath “love is all you need” is deeper than people give it credit for I think love / affection is the bodymind…
DeepMind says “RL is enough” to get to general intelligence, but what’s the appropriate reward structure? Optimizing for some easy-to-code utility like winning a game seems highly unlikely to create truly complex behavior. https://t.co/xBku7Xtid7!
Reward is enough https://t.co/3SIxJm6QgH
RT @nickcammarata: The hippy oath “love is all you need” is deeper than people give it credit for I think love / affection is the bodymind…
Bold positions taken by Silver (deepmind) & colleagues (including sutton): reward all you need to bring about the range of characteristics associated with natural & artificial intelligence- and powerful RL agents may be a solution to AGI. https://
The hippy oath “love is all you need” is deeper than people give it credit for I think love / affection is the bodymind’s evolved mechanism to quickly change your reward function eg after having a child. And for just about everything, reward is enough htt
Insightful at many levels. Toward AGI reward is enough. Reward is enough https://t.co/TcNiFQPNMH
RT @Soccermatics: Height of AI arrogance this one. Google researchers 'discover' an inferior/incorrect version of Darwin's theory of natura…
Reward is enough - ScienceDirect https://t.co/3SIxJm6QgH
[Elsevier: artificial-intelligence] Reward is enough https://t.co/8i3ZQIBIOS
La ricompensa è sufficiente - ScienceDirect https://t.co/9eaQDer74z
RT @Soccermatics: Height of AI arrogance this one. Google researchers 'discover' an inferior/incorrect version of Darwin's theory of natura…
Height of AI arrogance this one. Google researchers 'discover' an inferior/incorrect version of Darwin's theory of natural selection and publish it as 'new' revolutionary idea (without citing!). Thought they had a famously tough internal review policy😂. ht
La ricompensa è sufficiente - ScienceDirect https://t.co/3SIxJm6QgH
¿La recompensa es suficiente? ¿Cuál es el camino más prometedor para crear Inteligencia General Artificial (AGI)? https://t.co/aTr0uNyUK3
Reward is enough https://t.co/3SIxJm6QgH
RT @Grady_Booch: A clever article. Yet I can’t help but ask “isn’t it obvious?” (and isn’t this just restating what behaviorists have been…
RT @Grady_Booch: A clever article. Yet I can’t help but ask “isn’t it obvious?” (and isn’t this just restating what behaviorists have been…
RT @Grady_Booch: A clever article. Yet I can’t help but ask “isn’t it obvious?” (and isn’t this just restating what behaviorists have been…
A clever article. Yet I can’t help but ask “isn’t it obvious?” (and isn’t this just restating what behaviorists have been saying for decades?) https://t.co/3mXl0qPhCP
B.F.Skinner is back! Was he ever really gone? Enjoy this paper by google's DeepMind team on how reward systems are sufficient to build intelligent systems! #MachineLearning https://t.co/CtFT1s4MCY!
La ricompensa è sufficiente - ScienceDirect https://t.co/3SIxJm6QgH xx