1 00:00:01,100 --> 00:00:04,519 covering the week's top textbooks like 2 00:00:04,519 --> 00:00:04,529 covering the week's top textbooks like 3 00:00:04,529 --> 00:00:08,000 covering the week's top textbooks like Linux bias Google's area 120 team an 4 00:00:08,000 --> 00:00:08,010 Linux bias Google's area 120 team an 5 00:00:08,010 --> 00:00:09,709 Linux bias Google's area 120 team an internal incubator that creates 6 00:00:09,709 --> 00:00:09,719 internal incubator that creates 7 00:00:09,719 --> 00:00:12,020 internal incubator that creates experimental apps and services has 8 00:00:12,020 --> 00:00:12,030 experimental apps and services has 9 00:00:12,030 --> 00:00:14,839 experimental apps and services has launched keen a would-be Pinterest rival 10 00:00:14,839 --> 00:00:14,849 launched keen a would-be Pinterest rival 11 00:00:14,849 --> 00:00:16,790 launched keen a would-be Pinterest rival that draws on the search giant's machine 12 00:00:16,790 --> 00:00:16,800 that draws on the search giant's machine 13 00:00:16,800 --> 00:00:19,070 that draws on the search giant's machine learning expertise to curate topics 14 00:00:19,070 --> 00:00:19,080 learning expertise to curate topics 15 00:00:19,080 --> 00:00:22,220 learning expertise to curate topics available on the web at state keen calm 16 00:00:22,220 --> 00:00:22,230 available on the web at state keen calm 17 00:00:22,230 --> 00:00:25,400 available on the web at state keen calm and on Android co-founder CJ Adams says 18 00:00:25,400 --> 00:00:25,410 and on Android co-founder CJ Adams says 19 00:00:25,410 --> 00:00:27,620 and on Android co-founder CJ Adams says keen aims to be an alternative to 20 00:00:27,620 --> 00:00:27,630 keen aims to be an alternative to 21 00:00:27,630 --> 00:00:31,130 keen aims to be an alternative to mindlessly browsing online feeds Adam 22 00:00:31,130 --> 00:00:31,140 mindlessly browsing online feeds Adam 23 00:00:31,140 --> 00:00:33,620 mindlessly browsing online feeds Adam writes in a blog post on keen you say 24 00:00:33,620 --> 00:00:33,630 writes in a blog post on keen you say 25 00:00:33,630 --> 00:00:35,360 writes in a blog post on keen you say what you want to spend more time on and 26 00:00:35,360 --> 00:00:35,370 what you want to spend more time on and 27 00:00:35,370 --> 00:00:37,100 what you want to spend more time on and then create content from the web and 28 00:00:37,100 --> 00:00:37,110 then create content from the web and 29 00:00:37,110 --> 00:00:38,690 then create content from the web and people you trust to help make that 30 00:00:38,690 --> 00:00:38,700 people you trust to help make that 31 00:00:38,700 --> 00:00:41,330 people you trust to help make that happen you make a keen which can be 32 00:00:41,330 --> 00:00:41,340 happen you make a keen which can be 33 00:00:41,340 --> 00:00:43,310 happen you make a keen which can be about any topic whether it's baking 34 00:00:43,310 --> 00:00:43,320 about any topic whether it's baking 35 00:00:43,320 --> 00:00:45,350 about any topic whether it's baking delicious bread at home getting into 36 00:00:45,350 --> 00:00:45,360 delicious bread at home getting into 37 00:00:45,360 --> 00:00:48,139 delicious bread at home getting into birding or researching typography keen 38 00:00:48,139 --> 00:00:48,149 birding or researching typography keen 39 00:00:48,149 --> 00:00:49,880 birding or researching typography keen lets you curate the content you love 40 00:00:49,880 --> 00:00:49,890 lets you curate the content you love 41 00:00:49,890 --> 00:00:51,709 lets you curate the content you love share your collection with others and 42 00:00:51,709 --> 00:00:51,719 share your collection with others and 43 00:00:51,719 --> 00:00:54,049 share your collection with others and find new content based on what you have 44 00:00:54,049 --> 00:00:54,059 find new content based on what you have 45 00:00:54,059 --> 00:00:57,080 find new content based on what you have saved Pinterest has already captured the 46 00:00:57,080 --> 00:00:57,090 saved Pinterest has already captured the 47 00:00:57,090 --> 00:00:58,849 saved Pinterest has already captured the Hobby focused side of this market with 48 00:00:58,849 --> 00:00:58,859 Hobby focused side of this market with 49 00:00:58,859 --> 00:01:01,520 Hobby focused side of this market with its pin board style visual design two 50 00:01:01,520 --> 00:01:01,530 its pin board style visual design two 51 00:01:01,530 --> 00:01:03,439 its pin board style visual design two characteristics that Keane is trying to 52 00:01:03,439 --> 00:01:03,449 characteristics that Keane is trying to 53 00:01:03,449 --> 00:01:05,719 characteristics that Keane is trying to imitate but keen has Google's X 54 00:01:05,719 --> 00:01:05,729 imitate but keen has Google's X 55 00:01:05,729 --> 00:01:08,899 imitate but keen has Google's X expertise in machine learning which Adam 56 00:01:08,899 --> 00:01:08,909 expertise in machine learning which Adam 57 00:01:08,909 --> 00:01:10,700 expertise in machine learning which Adam says will surface helpful content 58 00:01:10,700 --> 00:01:10,710 says will surface helpful content 59 00:01:10,710 --> 00:01:13,280 says will surface helpful content related to your interests Google has 60 00:01:13,280 --> 00:01:13,290 related to your interests Google has 61 00:01:13,290 --> 00:01:15,050 related to your interests Google has never been able to break into the social 62 00:01:15,050 --> 00:01:15,060 never been able to break into the social 63 00:01:15,060 --> 00:01:17,270 never been able to break into the social space a venue of online activity that 64 00:01:17,270 --> 00:01:17,280 space a venue of online activity that 65 00:01:17,280 --> 00:01:19,520 space a venue of online activity that generates scads of lucrative data for 66 00:01:19,520 --> 00:01:19,530 generates scads of lucrative data for 67 00:01:19,530 --> 00:01:22,190 generates scads of lucrative data for targeting ads a Pinterest style social 68 00:01:22,190 --> 00:01:22,200 targeting ads a Pinterest style social 69 00:01:22,200 --> 00:01:24,320 targeting ads a Pinterest style social network would really allow it to hone in 70 00:01:24,320 --> 00:01:24,330 network would really allow it to hone in 71 00:01:24,330 --> 00:01:26,120 network would really allow it to hone in on users interests and gather this 72 00:01:26,120 --> 00:01:26,130 on users interests and gather this 73 00:01:26,130 --> 00:01:28,999 on users interests and gather this information and it does seem that data 74 00:01:28,999 --> 00:01:29,009 information and it does seem that data 75 00:01:29,009 --> 00:01:31,100 information and it does seem that data collected by Keene is being collated 76 00:01:31,100 --> 00:01:31,110 collected by Keene is being collated 77 00:01:31,110 --> 00:01:33,289 collected by Keene is being collated with everything else Google knows about 78 00:01:33,289 --> 00:01:33,299 with everything else Google knows about 79 00:01:33,299 --> 00:01:35,660 with everything else Google knows about users you log into Keene using your 80 00:01:35,660 --> 00:01:35,670 users you log into Keene using your 81 00:01:35,670 --> 00:01:37,399 users you log into Keene using your Google account and clicking on the sites 82 00:01:37,399 --> 00:01:37,409 Google account and clicking on the sites 83 00:01:37,409 --> 00:01:39,319 Google account and clicking on the sites privacy link just points you to the 84 00:01:39,319 --> 00:01:39,329 privacy link just points you to the 85 00:01:39,329 --> 00:01:43,069 privacy link just points you to the Google wide privacy policy it's 86 00:01:43,069 --> 00:01:43,079 Google wide privacy policy it's 87 00:01:43,079 --> 00:01:44,960 Google wide privacy policy it's interesting to see Google push it's 88 00:01:44,960 --> 00:01:44,970 interesting to see Google push it's 89 00:01:44,970 --> 00:01:46,639 interesting to see Google push it's machine learning systems into more 90 00:01:46,639 --> 00:01:46,649 machine learning systems into more 91 00:01:46,649 --> 00:01:49,340 machine learning systems into more varied applications especially those 92 00:01:49,340 --> 00:01:49,350 varied applications especially those 93 00:01:49,350 --> 00:01:50,840 varied applications especially those that seem like they're trying to foster 94 00:01:50,840 --> 00:01:50,850 that seem like they're trying to foster 95 00:01:50,850 --> 00:01:53,210 that seem like they're trying to foster users interest in rewarding hobbies 96 00:01:53,210 --> 00:01:53,220 users interest in rewarding hobbies 97 00:01:53,220 --> 00:01:55,700 users interest in rewarding hobbies rather than algorithms that drive people 98 00:01:55,700 --> 00:01:55,710 rather than algorithms that drive people 99 00:01:55,710 --> 00:01:57,770 rather than algorithms that drive people to greater engagement without caring 100 00:01:57,770 --> 00:01:57,780 to greater engagement without caring 101 00:01:57,780 --> 00:01:59,420 to greater engagement without caring what it is they're actually engaging 102 00:01:59,420 --> 00:01:59,430 what it is they're actually engaging 103 00:01:59,430 --> 00:02:02,870 what it is they're actually engaging with will you give key in a try are your 104 00:02:02,870 --> 00:02:02,880 with will you give key in a try are your 105 00:02:02,880 --> 00:02:04,730 with will you give key in a try are your interest such that you don't mind Google 106 00:02:04,730 --> 00:02:04,740 interest such that you don't mind Google 107 00:02:04,740 --> 00:02:06,670 interest such that you don't mind Google knowing what you're into 108 00:02:06,670 --> 00:02:06,680 knowing what you're into 109 00:02:06,680 --> 00:02:08,650 knowing what you're into below if you're watching online or hop 110 00:02:08,650 --> 00:02:08,660 below if you're watching online or hop 111 00:02:08,660 --> 00:02:18,390 below if you're watching online or hop on to our website to post your thoughts 112 00:02:18,390 --> 00:02:18,400 113 00:02:18,400 --> 00:02:21,439 [Music]