This is the best summary I could come up with:
The artificial intelligence start-up founded by veterans of Google’s famous DeepMind AI lab had just raised $1.3 billion from Microsoft and tech billionaires Bill Gates, Reid Hoffman and Eric Schmidt to build out its chatbot business.
Drastic warnings about AI posing an existential threat to humanity or taking everyone’s jobs have mostly disappeared, replaced by technical conversations about how to cajole chatbots into helping summarize insurance policies or handle customer service calls.
Some once-promising start-ups have already cratered and the suite of flashy products launched by the biggest players in the AI race — OpenAI, Microsoft and Google — have yet to upend the way people work and communicate with each other.
And Google CEO Sundar Pichai said on the company’s most recent conference call that interest in AI helped contribute to an increase in cloud revenue.
“We’re at the very, very beginning,” said John Yue, founder of Inference.AI, a start-up that helps other tech companies find the computer chips they need to train AI programs.
AI, coupled with a surge in new manufacturing facilities, is pushing up predictions for how much electricity will be needed over the next five years, said Mike Hall, CEO of renewable energy management software company Anza, and a 20-year veteran of the solar power industry.
The original article contains 1,674 words, the summary contains 211 words. Saved 87%. I’m a bot and I’m open source!
“The over-hyped period of AI investment is over, say people seeking investment in nebulously defined future looking applications of AI. You should give us money to get serious about this, now.”
Oh, thank goodness. My miracle cure, underpriced swampland, and San Francisco Bridge portfolio isn’t growing the way I expected it to, and I need to diversify. /s
They mentions the electricity needs but not the water’s one…
Both the electricity and water usage really is the hype as it is so utterly overblown. Just click bait material to appeal to people’s fear and doubt.
The hard part has always been there regardless of the hype the public has made about it. Not like the actually people making AI thought the hype made the AI.