Computer scientists are questioning whether Alphabet’s DeepMind will ever make A.I. more human-like

Stephen Merity, an independent AI researcher, told CNBC that there's "a difference between theory and practice." He also noted that "a stack of dynamite is likely enough to get one to the moon, but it's not really practical."Rodolfo Rosini, a tech investor and entrepreneur with a focus on AI, told CNBC: "The truth is nobody knows and that DeepMind's main product continues to be PR and not technical innovation or products.

"The key problem with the thesis put forth by 'Reward is enough' is not that it is wrong, but rather that it cannot be wrong, and thus fails to satisfythat all scientific hypotheses be falsifiable," said a senior AI researcher at a large U.S. tech firm, who wished to remain anonymous due to the sensitive nature of the discussion.

"As such, the unfortunate verdict here is not that these prominent members of our research community have erred in any way, but rather that what is written is trivial. What is learned from this paper, in the end? In the absence of practical, actionable consequences from recognizing the unalienable truth of this hypothesis, was this paper enough?"While AGI is often referred to as the holy grail of the AI community, there's no consensus on what AGI actually is.

Ian Hogarth, an entrepreneur turned angel investor, told CNBC that he hopes reinforcement learning isn't enough to reach AGI. "The more that existing techniques can scale up to reach AGI, the less time we have to prepare AI safety efforts and the lower the chance that things go well for our species," he said.

Junta terrorists vandalized some houses in TaeSu Village, KhinU Township, Sagaing Division this afternoon. They stole about 99.6 g of gold, more than 20,000 kyat and other valuables. June17Coup WhatsHappeningInMyanmar MilkTeaAlliance

When you have suboptimal DNA programmers, don't expect to much eh?

Do we know what we mean ... by the *I* in AI?

good luck

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