Top Tweets for #MLDebate
And that's a wrap for our #MLDebate! Thank you @benhamner for leading today's discussion and thanks to everyone who participated in the conversation.
AI software currently bottlenecks robotic applications, and solving this will enable the mass consumerization of robots. However, I suspect we may have several economic booms and busts before complex household robots achieve substantial adoption #MLDebate
https://t.co/zHM2jQV6OW
Final Question: What will the success stories in AI be? #MLDebate
AI will drive cost efficiencies across many industries, from manufacturing and finance to education and healthcare. We'll be able to deliver far better results far cheaper (and I hope this gets passed on to consumers) #MLDebate https://t.co/zHM2jQV6OW
Final Question: What will the success stories in AI be? #MLDebate
Final Question: What will the success stories in AI be? #MLDebate
Governments have tremendous ability to accelerate AI innovation through funding, access to data, and a supportive regulatory environment across many industries, and a tremendous ability to inhibit it by failing on these dimensions #MLDebate https://t.co/NjZCM8kyB5
Question #2: What are the real issues in AI? #MLDebate
Many AI applications require intensive and expensive compute. AI won’t truly be democratized until we make orders-of-magnitude improvements in compute power, compute time, and the cost of the underlying hardware #MLDebate https://t.co/NjZCM8kyB5
Question #2: What are the real issues in AI? #MLDebate
AI education currently focuses too much on theory and less on practice. We need to enable a million AI developers to apply the technology to real problems in addition to the handful of researchers that push the field forward #MLDebate https://t.co/NjZCM8kyB5
Question #2: What are the real issues in AI? #MLDebate
Question #2: What are the real issues in AI? #MLDebate
Everyone gets excited about AI algorithms. This is the wrong focus for almost everyone: unsexy investments in data and engineering are what really move the needle for almost all currently running AI applications #MLDebate https://t.co/MTVTpC951B
However, a lot of people have no idea what they’re doing with AI and are poised to lose a lot of money. We need to do a better job democratizing the technology and the knowledge of how to apply it #MLDebate https://t.co/H5wOfOfd6K
Most companies don’t know where to start with their AI investments, and fall into the trap of chasing the hot new thing (deep learning!) before they have the underlying software and data infrastructure to support even basic models #MLDebate https://t.co/MTVTpC951B
However, a lot of people have no idea what they’re doing with AI and are poised to lose a lot of money. We need to do a better job democratizing the technology and the knowledge of how to apply it #MLDebate https://t.co/H5wOfOfd6K
However, a lot of people have no idea what they’re doing with AI and are poised to lose a lot of money. We need to do a better job democratizing the technology and the knowledge of how to apply it #MLDebate https://t.co/H5wOfOfd6K
TL;DR: no! The winners in AI will create trillions of dollars in business value and enable new products and industries #MLDebate https://t.co/LV1qc8Crmu
First question: Are we in an AI bubble? #MLDebate
We'll pose a few questions and retweet @benhamner's answers (he's today's guest). To join in, simply reply using the hashtag #MLDebate.
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