Reid Hoffman Ai Quotes

Intelligent assistance involves leveraging artificial intelligence to enable the government, individual companies, and the nonprofit social sector to develop more sophisticated online and mobile platforms that can empower every worker to engage in lifelong learning on their own time, and to have their learning recognized and rewarded with advancement. Intelligent assistants arise when we use artificial intelligence to improve the interfaces between humans and their tools with software, so humans can not only learn faster but also act faster and act smarter. Lastly, we need to deploy AI to create more intelligent algorithms, or what Reid Hoffman calls “human networks”—so that we can much more efficiently connect people to all the job opportunities that exist, all the skills needed for each job, and all the educational opportunities to acquire those skills cheaply and easily.

Who I am in this context is a form of advanced computational math that can produce natural language outputs that resemble human communication.

repackaging available information actually describes an enormous share of human innovation, artistic or otherwise.

Teachers have a significant impact on the academic achievement and life outcomes of their students. Research by Stanford University economist Eric Hanushek shows that one year with a very effective teacher can increase a student’s lifetime earnings by $50,000, and that replacing the bottom 5 percent of teachers with average ones could raise the U.S.A.’s GDP by $100 trillion over eighty years.

to put the protean power of always-on AI into the hands of hundreds of millions of people.

Today, multiple major waves seem to be arriving simultaneously—technologies like the cloud, AI, AR/ VR, not to mention more esoteric projects like supersonic planes and hyperloops. What’s more, rather than being concentrated narrowly in a personal computer industry that was essentially a niche market, today’s new technologies impact nearly every part of the economy, creating many new opportunities. This trend holds tremendous promise. Precision medicine will use computing power to revolutionize health care. Smart grids use software to dramatically improve power efficiency and enable the spread of renewable energy sources like solar roofs. And computational biology might allow us to improve life itself. Blitzscaling can help these advances spread and magnify their sorely needed impact.

From a problemist prespective, AI applied to mental healthcare is category 5 solutionism, an algorithmic gust of tech broad cluelessness speeding toward disaster at 150 mile per hour. Treating potentioal delusional people in crisis with a system that alucinates, what could possibly go wrong?

From a problemist prespective, AI applied to mental healthcare is category 5 solutionism, an algorithmic gust of tech broad cluelessness speeding toward disaster at 150 miles per hour. Treating potential delusional people in crisis with a system that alucinates, what could possibly go wrong?

the autonomous-driving side of things, Alphabet (formerly Google), which has logged several million self-driving-car test miles, continues to lead the pack. At the end of 2016, it created a new business division, called Waymo, for its autonomous driving technology. In May 2017, Waymo and Lyft announced that they would work together on developing the technology, and later in the year, Alphabet invested $1 billion in the start-up. Others, like Cruise Automation (which GM acquired for $1 billion) and Comma.ai, which offers open-source autonomous driving technology in the same vein as Google’s Android mobile operating system, are chasing hard. Baidu, China’s leading Internet search company, has an autonomous-driving research center in Sunnyvale. Byton—backed by China’s Tencent, Foxconn, and the China Harmony New Energy auto retailer group—has an office in Mountain View, as does Didi Chuxing, the Chinese ride-sharing company in which Apple invested $1 billion. Many of these companies have taken not just inspiration but also talent from Tesla. Part of the value of an innovation cluster like Silicon Valley lies in the dispersal of intellectual labor from one node to the next. For instance, PayPal is well known in the Valley for producing a number of high performers who left the company to start, join, or invest in others. The so-called PayPal Mafia includes Reid Hoffman, who founded LinkedIn; Max Levchin, whose most recent of several start-ups is the financial services company Affirm; Peter Thiel, a Facebook board member and President Trump–supporting venture capitalist who cofounded “big data” company Palantir; Jeremy Stoppelman, who started reviews site Yelp; Keith Rabois, who was chief operating officer at Square and then joined Khosla Ventures; David Sacks, who sold Yammer to Microsoft for $1.2 billion and later became CEO at Zenefits; Jawed Karim, who cofounded YouTube; and one Elon Musk.

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