š This is issue #101 of EXPONENTIAL THE VIEW. Sign-up for the newsletter here. Photo Credit, exponentialview on instagram. Dept. of the nearĀ future š®š” on how the advances in genetic engineering and artificial intelligence will transform humans and human society. Yuvalās excellent new is now available in America. (Buy it here: | | ) In conversation with Yuval Harari MUST LISTEN. book Homo Deus UK United States Germany š āCognitive skills in topics like maths and English have long been used as to measure the calibre of a job candidateā¦non-cognitive skills are also integral to educational performance and success at workāāāand are becoming increasingly soā, says think-tank, . See also George Monbiot . And also, entrepreneur argues for Hello teamwork. The Hamilton Project GOOD READ. exploring alternative models of education Mark Cuban the coming increase in demand in liberal arts. š¦ Once internet business models were about unbundling. Today the reverse seems to be true. The great rebundler. INSIGHTFUL. š¤ by mimicking biology. Now it must go further. essay by @kellybclancy. Artificial intelligence has achieved much of its recent success SUPER š Point (by ): Trumpās campaign team to provide better insights, more targeted messaging and rapid distribution of information. Counterpoint: . The jury is still deliberating the real impact of the data-meets-social strategy used by the Trump and Brexit teams. Berit Anderson successfully-weaponised AI Or maybe it wasnāt effective ās ā ā is a for product entrepreneurs. Sarah Tavel Hierarchy of Engagement GREAT READ š„ Repost of Karl Polanyiās 1940 lecture: The Breakdown of The International system APPOSITE Dept of algorithms &Ā AI One of the themes explored in my discussion with Yuval Harari was the move towards algorithmic management of the world. How, increasingly, algorithms make automated decisions in our everyday lives and in the deep bowels of business and the economy. š Pew Research recently interviewed 1,302 experts on the impacts of algorithms on society in . The conclusions: algorithms will go everywhere and thatās mostly a good thing. But we need to be wary about losing our own decision-making prowess, guard against bias, manage filter bubbles and ensure we have oversight of those algorithms. this rather excellent survey My take is that correctly designed, algorithmic decision-making will continue to be an incredible boon to human society. However, such algorithms needs to be holistically designed, which means understanding the wider context of a decision including any externalities arising from it. If āalgorithmic decisionsā are narrowly focused on efficiency for the operator of the algorithm, unintended consequences are likely to abound. Wired magazine profiles Heliograf, : a bot used by Washington Post to generate electoral stories In November 2012, it took four employees 25 hours to compile and post just a fraction of the election results manually. In November 2016, Heliograf created more than 500 articles, with little human intervention, that drew more than 500,000 clicks. This is a far cry from 1995 when my then boss at clamped together a bunch of scripts to autogenerate weather reports. The Guardian DeepMindās Pathnet has got AI researchers buzzing because it seems to be a precursor to the kind of architecture that could support artificial general intelligence (or AGI). Pathnet combines several hot areas of AI research in a single architecture: meta-learning, reinforcement , adversarial & cooperative learning and transfer learning. Carlos Perez has a learning reasonably accessible overview of it. Adversarial examples are a datum that can force a machine learning system to make a mistake. Itās an intriguing area of cyber-security, especially as more decision making switches to algorithms. OpenAI . has a nice paper on the subject Elsewhere: Bill Gates wants to tax robots Lovely review of AI-enabled generative design Fantastic insight of how Autodeskās augmented intelligence system co-designed the Elbo chair Graphcoreās visualisations of neural networks learning Another . This time, drive.ai impressive demo of a self-driving car Dept of clean tech &Ā EVs reckons that New forecasts doubled estimates for the penetration of battery EVs by 2030 to nearly 25%. The Economist electric vehicles are coming faster than we think. My take is that forecasts will soon be revised even further upwards. The historic 13-year replacement cycle for cars in the US (and similar in Europe), is going to come under real pressure are we move towards consumer acceptance, fleet ownership, autonomy and the vicious cycle for petrol-powered cars. and between āa third and a half of consumers are actually considering electrics when they go into the purchase funnelā according to McKinsey. Consumers are increasingly ready to accept EVs Shared ownership models will mean more vehicles will be owned-and-operated by fleets. Fleet owners will drive their cars harder and replace faster. They will have significant incentives to move electric. (Instant torque, low pollution/tax levels, lower fuel costs). Autonomy will increase the incentives to move towards newer cars because it provides a step-change in the driving experience. For fleet owners, autonomy is a boon as it lowers costs, especially on non-controversial routings. As Iāve previously argued, in many markets retail petrol (gas) distribution is a tentative endeavour at best. It wonāt take much to knock them out of business, and in turn, raise the effective cost of owning an ICE. Elsewhere: EVs make up 40% of new registrations in Norway š āWith the energy transition now on a demand-driven, tech-fueled growth curve, big investors want to get on boardā on and why fossil fuels are legacy. LONG READ why renewables are no longer āalternativeā China is leading the . charge on lithium gigafactoriesāāāon track to control 62% of global production by 2020 13 short morsels to appear smart at dinnerĀ parties Claire Wardle has a . super taxonomy of fake news How . websites profile users even when they use different browsers The is a total security risk. Cayla internet-connected doll University . attacked by its own connected vending machines Scientists , a new Carbon allotrope. manually create triangulene (About 10Ā¹ā¹ longer than the life of the Universe.) Electron lifetime is at least 66,000 yottayears Watch . 104 satellites deploy from an Indian rocket There is . no correlation between your personality at 77 and at 14 . Excess deaths in the UK likely linked to cuts in health spending ā Russians are . more dependent on the State that they were under communism āSince markets in the U.S. and other advanced countries have become increasingly concentrated in the hands of a smaller number of āsuperstarā firms, the ability of such firms to influence market rules has also strengthened.ā Rethinking the firm. š¶ Joel Mokyr: A: āa self-reinforcing dynamic of economic progress that made knowledge-driven growth both possible and sustainableā How did Europe become so rich? . Probably. Butter is good for you End note Ok. I didnāt write about for saving the world. To be honest, I didnāt have time to read it (or the many critiques of it.) What I would say is that Iām glad heās starting to engage with some of the key issues that actually matter. Iāll hold assessment on the manifesto until I actually peruse it. Mark Zuckerbergās manifesto This week, Iām hoping to catch a few minutes at the demo day for , the Worldās First AI/ML Accelerator. (I occasionally help , the founder.) Their investor/demo day will be live-streamed and there are only a few seats available. Zeroth.ai tak_lo You can sign up to view here. Have a great mid-February! Ciao Azeem P.S. We have some cool things on our Instagram page.
