“Alphabet’s DeepMind Losses Soared To $570 Million In 2018” @Forbeshttps://www.forbes.com/sites/samshead/2019/08/07/deepmind-losses-soared-to-570-million-in-2018/ …
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Replying to @GaryMarcus @Forbes
Fundamental science costs a lot of money and it's not immediately monetizable. Besides, how much of this was spent on TPU cycles? Furthermore, this "information" discourages everyone else from investing in AGI research.
4 replies 0 retweets 19 likes -
Replying to @IntuitMachine @Forbes
are you proposing that the world cover up deepmind’s economics in order to stave off an AI winter?
2 replies 2 retweets 6 likes -
Replying to @GaryMarcus @Forbes
I'm saying that DeepMind's horrible short term numbers isn't a bad thing. OpenAI likely has similar economic numbers. Should we also examine the cost of CERN's Large Hadron Collider?
3 replies 0 retweets 24 likes -
Replying to @IntuitMachine @Forbes
note that i didn’t say they were “horrible” or make any value judgement in original tweet. others thought they were horrible and attacked me for saying so. ah, twitter...
3 replies 0 retweets 1 like -
"Losses" has a very specific connotation. You could have chosen a different word. Don't use words with specific connotations, and then pretend to be surprised when people infer the connotation from what you said.
1 reply 0 retweets 3 likes -
Replying to @daniel_eth @GaryMarcus and
I think he just copied the Headline of the AI and Data Science expert
@Sam_L_Shead1 reply 0 retweets 0 likes -
Replying to @VonSankt @daniel_eth and
Indeed, and people read all kinds of erroneous things into that. So much so that I am writing a piece to explain what I actually think.
1 reply 0 retweets 1 like -
Replying to @GaryMarcus @VonSankt and
“Losses” is the word used in DeepMind’s annual report. And all annual reports. It’s just a financial term
2 replies 0 retweets 2 likes
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