CaTa

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CaTa

CaTa

@catalystmic

NEW ALBUM OUT NOW https://t.co/h2j4J0wDR1

plane-t earth Katılım Haziran 2016
3.5K Takip Edilen902 Takipçiler
Spotify
Spotify@Spotify·
Sombr always brings his edge to the carpet 🖤 📷: Getty
Spotify tweet media
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E! News
E! News@enews·
Katy Perry's #MetGala look is so hypnotizing. 🤩
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Spotify
Spotify@Spotify·
You’re prepping for fashion’s biggest night tonight. What’s first in the queue ✨
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Steve Howey
Steve Howey@stevehowey·
What are you wearing? (Said in a tone of sarcasm and contempt)
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Eduard
Eduard@edthesoundman·
What is your philosophy when it comes to drugs as a creative aid?
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ROBNESS🇺🇸
ROBNESS🇺🇸@ROBNESSOFFICIAL·
THE BAN A.I. AND ANTI CRYPTO STUFF IS LARGELY COMING FROM THE LEFT AND NOW LEFTISTS USING THIS TECHNOLOGY HAVE AN ODD IDENTITY CRISIS PROBLEM. THEY UNFORTUNATELY HAVE A FORK IN THE ROAD WITH THEIR POLITICS. I THINK THE LEFT HAVE ACCIDENTALLY BECOME ANTI FUTURE.
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Vogue Magazine
Vogue Magazine@voguemagazine·
“Fashion is very much an art form not in spite of the body, but because of it,” says Andrew Bolton, curator of the Costume Institute. The central thesis of "Costume Art" is simple as it is thrilling: pair existing artworks with corresponding garments and let your synapses fire.
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Mark Cuban
Mark Cuban@mcuban·
So why did i bring this up? Not because i think something is wrong with AI. Nor that i think it should be used less. I still believe there are 2 types of companies.. Those that are great at AI, and those who will go out of business. I was thinking of it more from the perspective of a CEO. They are not going to know, understand or want to know the nuances of AI implementation. A CEO is going to want to know what they can expect from AI. What can it not do. How does it compare to our existing scenarios. And on the flipside, what can it do, with 100pct certainty or with greater positive impact than current systems. And what is the implementation risk It is going to take a long time before CEOs know how to determine risk vs reward with AI. But they are facing the "Innovator's AI Dilemma" today.
Mark Cuban@mcuban

I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time. Which is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable. Which makes domain knowledge more valuable by the second. Am I wrong ?

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CaTa
CaTa@catalystmic·
can you decode the song title?
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