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Transcripts For CNBC Squawk Alley 20240712

Were going to get smarter on that with our guests this hour take snow dflake, that recordbreaking debut you heard about all morning, priced at 120 now indicating 19 to 195 the largest software ipo ever. Their thesis, a new way to work with data in the cloud those indications as i mentioned way above the ipo price. The ceo joins squawk alley right after the first strad. And theres adoe bee ahead of last nights earnings. They reported 15 Revenue Growth the best q3 in the companys history. Stock is taking a breather in the early trade. Well ask ceo about that in just a few minutes. And dont forget about apple its mac and ipad lines got a boost from work and learn from home imperative. Major Tech Companies like apple are leaning into the work, learn and kperds from home phenomenon. The new way of working is rich the real question here, guys, is future upside already baked into these valuations, carl boy, just look at those snowflake indications. We went into this morning, jon, looking at h

Transcripts For CSPAN3 Senate Commerce Hearing On Tech Companies Use Of Algorithms 20240714

I want to thank everyone for being here today to examine the use of persuasive technologies on internet platforms. Each of our Witnesses Today has a great deal of expertise with respect to to algorithms and as well as in the more narrow context of engagement and persuasion and brings unique perspectives to these matters. Your participation in this hearing is appreciated. I con vain this hearing in part to inform legislation i am developing to give consumers the option to engage with the platform without having the experience shaped by algorithm use specific data. Internet platforms have transferred the way we interact and made positive ways on society in ways too numerous to counting. The vast majority of content is innocuous and at its best it is entertaining, educational and beneficial to the public. However, the powerful mechanisms behind these platforms also have the ability or at least the potential to influence the thoughts and behaviors of literally billions of people. As one re

Transcripts For CSPAN3 Senate Commerce Hearing On Tech Companies Use Of Algorithms 20240714

Test. Captioning performed by vitac thank you. Thank you, senator peters. Senator johnson. Thank you, mr. Chairman. Mr. Harris, i agree with you when you say that our best line of defense as individuals are exposure. People need to understand that they are being manipulated and a lot of this hearing has been talking about the manipulation algorithms, Artificial Intelligence. I want to talk about the manipulation by human intervention, human bias. We dont allow or we certainly put restrictions through the fcc on an individual owning their ownership of tv stations, radio stations, newspapers because we dont want that monopoly of content in a community, much less, you know, facebook, google, access, billions of people, hundreds of millions of americans. So i have staff on instagram go to the political account by the way, i have a video of this so id like to enter that into the record. The hit follow and this is what the list they were given and this is in the exact order and i would ask t

Transcripts For CSPAN3 Senate Commerce Hearing On Tech Companies Use Of Algorithms 20240714

On internet platforms each witness has information on algorithms and Machine Learning, as well as engagement and persuasion and brings unique perspectives to these matters. Your participation in this hearing is appreciated mr. Rosensteinly as this committee continues to work on drafting data privacy legislation. Icon veeped this hearing in part to inform legislation im developing that would require internet platforms to give the user information to engage with the platforms without using algorithms pushed by certain data. The vast majority of content on these platforms is at its best, entertaining and beneficial to the public. However they also have the ability or at least potential to influence the thoughts and behaviors of literally billions of people. As one reason why theres widespread unease about the power of these platforms and why its important for the public to understand how they use the algorithms to make inferences from the reams of data about us that affect behavior and in

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