Companies, the same companies that control the lions share of patterns, that have an extra amount of my comp that are able to attract the best talent because that the best food, you know, that have the relationships with universities and it doesnt mean there are not other Companies Like salesforce or nvidia uber that are not doing Amazing Things but its through these nine compass Everything Else flows. The entire ai ecosystem in some way or another patches of these nine. In addition to all of the things i just mentioned they also building the frameworks and the custom silicone chips and they have the code bases. All roads lead to these nine companies, and the challenge that i have is that if its the case that Artificial Intelligence is not just been built to create a better microwave, although thats cool, but instead to optimize our lives come using data as currency, what does it mean when we relegate that to just a handful of companies and handful of people working at these companies
Programs from our archives that focus on technology. Watch them in their entirety by visiting our website, book tv. Org and use the search function at the top of the major. First from march 2019, nyu Stearns School of business professor argues that Artificial Intelligence is giving too much power to big corporations. My job is to model risk for a living and i primarily focus on technology and i over and over come back to the same companies that control the lions share of patents, that have an extraordinary amount of money, that are able to attract the best talent because they have the best food. That much have the relationships with universities, and it doesnt mean that there arent other Companies Like salesforce or nvidia or uber that arent doing amazing things, but its three the Nine Companies that this throws. And it touches all of these nine. In addition theyre building the frameworks and custom silicon chips and the code basis, all roads lead to these Nine Companies and the challe
Nine companies, the same companies that control the lions share of patents, that of an extraordinary of money that are able to attract the best talent because of the best food, you know, that have the relationships with universities here it doesnt mean there are not other Companies Like salesforce or nvidia over for not doing Amazing Things but its through these Nine Companies that Everything Else flows. The entire ai ecosystem in some way or another touches these nine. In addition to all of the things i just mentioned, they are also building the frameworks and the custom silicone chips and they have the code bases. All roads lead to these Nine Companies, and the challenge that i have is that if its the case that Artificial Intelligence is not just being built to create a better microwave, although thats cool, but instead to optimize our lives using data as currency, what does it mean when we relegate that are just a handful of companies and handful of people working at these companies
Kyle andeer. Pint rest spotify lyft uber. The algorithms are opt newsed to predict what customers want to buy regardless of the seller. We equalize the taim same criteria. With respect to popularity, we provide the ranking of each product. I just want to give you an example of an entrepreneurial sells on sales source, great for her, great for amazon, more people become amazon prime customers, sensing her success. The next thing that happens is they discover amazon rolled out a direct replica and gives itself top billing, which turns people to page 3 results which no one would see, how would any entrepreneur invest from that environment with i that can happen, which there is no assurance that it wont . Our incentive is to see the client succeed. If we do that, we do not use their individual data when we are making digs to launch private brands. Thank you. Now turning to Google Search for a moment, mr. Cohen, similar results in amazon, every day people thinking they are getting the best,
Cspan is brought to you by your local cable and satellite provider. Cspan, your unfiltered view of government. Next a Congressional Panel looks at Online Platforms and impact on entrepreneurship in the u. S. Well hear from google, apple, facebook and amazon officials who talk about ecommerce. This portion of the house judiciary hearing is is an hour and 50 minutes. Good afternoon. The subcommittee will come to order. Without objection the chair is authorized to declare recesses of the committee at any time. We welcome everyone to the second of our series of hearings investigating competition in the digital markets. This one on innovation and entrepreneurship. I now recognize myself for an opening statement. 30 years ago the First Software for the worldwide web was released into the Public Domain to create a Global Communications network. Within a few years, search and browsing services were built onto the software to give people tools to communicate, share and explore information throu