tag:blogger.com,1999:blog-32742383.post-48829933593437281922007-09-09T13:00:00.000-07:002007-09-09T13:02:33.730-07:00Google and Continuous Improvement<p class="MsoNormal">Today’s keynote at the Singularity Summit was Peter Norvig, Director of Research from Google.<span style=""> </span>His talk was titled The History and Future of Technological Change, and he couched his presentation as an analysis of “how to evaluate technical change”.</p> <p class="MsoNormal">This is the first time I have heard Norvig speak, and I found his talk to be extremely pragmatic.<span style=""> </span>His trek through the art of predicting the future, to demonstrations of narrow AI to his list of AGI prerequisites pointed toward a technologist with a perspective firmly grounded in continuous improvement, averse to making high-risk, long-shot bets.<span style=""> </span>If Norvig speaks from a place of authority on Google product direction, it seems to me that we should expect continued evolutionary innovation from GOOG, but they will leave the breakthrough innovation of AGI to others.<span style=""> </span>This is an important observation for the investment community that has put Google on pedestal related to the continued release of major breakthroughs.</p> <p class="MsoNormal">Norvig began his talk discussing how the predictions he was used to making are about incremental advancements in technology.<span style=""> </span>A 1% improvement here, a 2% improvement there.<span style=""> </span>He pointed out that predictions about AGI are 100% “or greater” improvement ruminations.<span style=""> </span>He pointed out the dichotomy between other prognosticators.<span style=""> </span>“We will all be dead in 100 years” vs. “We will live to be 1000 years old”.<span style=""> </span>“AGI can’t happen for another 100 years” vs. “within the next 10 years”.</p> <p class="MsoNormal">From there, Norvig took a detour through other concepts of “Artificial General”.<span style=""> </span>He postulated about “Artificial General Space Exploration”, “Artificial General Materials Science”, and “Artificial General Culture” – equating these concepts to the emergence of AGI.</p> <p class="MsoNormal">Here Norvig was at his most pragmatic.<span style=""> </span>He sees continuous innovation in these areas bringing about a more advanced capability, but certainly no “rapture”, no “big bang”.<span style=""> </span>He commented that “the Singularity is a period, not a point”.<span style=""> </span>He sees a date in the future when we look back at the progress and say – wow that was a big change.</p> <p class="MsoNormal">In preparation for this presentation Norvig used Google Scholar to query papers presenting breakthroughs in AI.<span style=""> </span>His keywords were “AI” and “unlike previous”. <span style=""> </span>From 1968 – present, Norvig can’t tell the difference in breakthrough claims, with claims of novelty repeating in the data set.<span style=""> </span>This indicates to him that we are not on the verge of discovering something major in AI.</p> <p class="MsoNormal"><span style=""> </span>To bring about an AGI, Norvig offered his list of prerequisites:</p> <ul><li><!--[if !supportLists]--><span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span><!--[endif]-->Probabilistic First-Order Logic<span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span></li><li><span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span><!--[endif]-->Hierarchical Representation and Problem Solving<span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span></li><li><span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span>Learning over the data from above<span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span></li><li><span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"> </span></span></span><!--[endif]-->With lots of data<span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span></li><li><span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span><!--[endif]-->Online<span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span></li><li><span style="font-family: Symbol;"><span style=""><span style="font-family: &quot;Times New Roman&quot;; font-style: normal; font-variant: normal; font-weight: normal; font-size: 7pt; line-height: normal; font-size-adjust: none; font-stretch: normal;"></span></span></span><!--[endif]-->Efficiently</li></ul> <p class="MsoNormal">I think the recursive thinking nature of Norvig’s AGI underpins his continuous improvement philosophy, and also presents a very Googlian view of success.<span style=""> </span>Let an algorithm loose on lots of data, and eventually it might get there.</p> <p class="MsoNormal">Rodney Brooks asked Norvig a question during the Q&A session:</p> <p class="MsoNormal">Brooks – Any emergent property of Google materializing within the massive systems that has been a surprise?<span style=""> </span></p> <div style="border-style: none none solid; border-color: -moz-use-text-color -moz-use-text-color windowtext; border-width: medium medium 1pt; padding: 0in 0in 1pt;"> <p class="MsoNormal" style="border: medium none ; padding: 0in;">Norvig’s best answer was that he was surprised at how Game theoretic Google’s role in the internet is. Initially, he thought Google would be an observer of the internet – just serving up search results.<span style=""> </span>Now Google is co-evolving with the web.<span style=""> </span></p> </div>jonashttp://www.blogger.com/profile/05622113523867518109noreply@blogger.com