Good Tuesday Morning i am Carl Quintanilla with Morgan Brennan at post nine of the new york stock exchange. Jon fortt is in los angeles at the adobe max conference his sit down is a few moments away with Shantanu Narayen we start with uber shares down, despite the beat as losses for the quarter top a billion. Guys, good to see you. Dan, how much is this downward trajectory in price driven by model complexity relative to competitors . It is a small piece here, no doubt this is a black eye quarter for dara and uber, missing ridesharing metrics. You combine that with what theyre spending on eats, thats the one, two punch sending the stock down, could be an avalanche with lock up expiration. Do you buy the target of adjusted profitability by 2021 i do. I think it is not as much stretch as it would appear to be you look at the core ride share business, they came out with segment margins this quarter, 22 , a four percentage point improvement from a year ago. If they continue on that pace of
The committee will come to order. Before we begin, i want to remind all members we are in open session. We will discuss unclassified matters only. Please have a seat. Our members may be wandering in a bit late. We are here until 1 00 in the morning. But those in Armed Services were here until about 5 00 or 6 00 in the morning. So a few groggy members here on the committee. In the heat of the 2016 election, as the russian hacking and dumping operation became apparent, my predominant concern was that the russians would begin dumping forged documents along with the real one that is they stole. It would have been all too easy for russia or another malicious actor to see forged fox sh documents among the authentic one that is will make it impossible to identify or rebut the fraudulent material. Even if the victim could expose the forgery for who it was, the damage would be done. Three years later, were on the cusp of a technolaj cal revolution that could enable even more sinister forms of d
6 00 in the morning, so we have a few groggy members here on the committee. In the heat of he 2016 election, as the russian hacking and dumping operation became apparent, my freedom unanimous concern was that the russians would begin dumping forged documents along with the real ones they stole. It would have been too easy are russia or another malicious actor to seed formed documents among the how then tick onestake toe make almost imfor identify or rebut the fraudulent material. Even if a victim could expose the foreign ricer the damage would be done. Three years later were on the cusp of a technological revolution that could enable even more sipster forms of deception and disinformation by malign actors, foreign or domestic. At vanses in a. I. In Machine Learning let to emergence of advanced digitally doctored types of media, so called deep fakes, that enable malicious actors to foment okay or crisis and disrupt entire campaigns, including that for the presidency. Rapid progress inar
Energy and Resources Committee is about two hours. Over the past few years, since six have been working to understand the challenges around ai and various issues. Argonne National Laboratory in illinois, Lawrence Livermore, Lawrence Berkeley in california. Those are the most, new mexico. And oak ridge, tennessee. The labs work in bringing together both fundamental science and National Security missions. This hearing will examine their findings. This hearing will also discuss the 1. 8 billion exit scale Computing Program that the committee authorized. If we want to invest in ai in a costeffective way, we must build on existing programs and avoid wasting resources and duplication. Most people think about the department of energy for his work advancing Energy Technologies like nuclear reactors, energy efficiencies, Carbon Capture and hydrogen. Doe does more than just energy. The Department Also is the largest supporter of physical, Scientific Research in the federal government. Conducting
Energy and Resources Committee is about two hours. Over the past few years, since six have been working to understand the challenges around ai and various issues. Argonne National Laboratory in illinois, Lawrence Livermore, Lawrence Berkeley in california. Those are the most, new mexico. And oak ridge, tennessee. The labs work in bringing together both fundamental science and National Security missions. This hearing will examine their findings. This hearing will also discuss the 1. 8 billion exit scale Computing Program that the committee authorized. If we want to invest in ai in a costeffective way, we must build on existing programs and avoid wasting resources and duplication. Most people think about the department of energy for his work advancing Energy Technologies like nuclear reactors, energy efficiencies, Carbon Capture and hydrogen. Doe does more than just energy. The Department Also is the largest supporter of physical, Scientific Research in the federal government. Conducting