🚀 This is issue #104 of THE EXPONENTIAL VIEW. Sign-up for the newsletter here. Darknet is more decentralised than Internet 🙊 : . “People want voice to be the new thing …. the tech industry is casting around looking for the Next Big Thing. I suspect that voice is certainly a big thing, but we’ll have to wait a bit longer for the next platform shift.” Benedict Evans Voice & the uncanny valley of AI 👨🏽🌾 How . “These superstars can offer more variety, cheaper prices and convenience, but the bigger chunk of profits that they capture is split among fewer workers.” superstar firms have shrunk labour’s share of the pie 👫 ? John Danaher takes an Aristotelian view. Will robots help our hinder the creation and maintenance of meaningful human friendships 🌟 Tim Berners-Lee: (Paradoxically, the Darknet now which may make it more resilient to attack or oligopoly power.) We need to take control of our data, tackle misinformation and manage political messaging in order to save the Web. has a more decentralized structure than the mainstream Internet 🔥 argues . “It finally recognizes its power and the ways in which that power has caused problems in the world, but its instinct is to wield that power even more, rather than back off.” Facebook wants more power in our lives, and we should resist, Jan Dawson Dept of artificial intelligence from Singularity. Says Ng: Interview with Andrew Ng from Baidu and Neil Jacobstein Just as about 100 years ago electrification changed every single major industry, I think we’re in the phase where AI will change pretty much every major industry. And he continues Things may change in the future, but one rule of thumb today is that almost anything that a typical person can do with less than one second of mental thought we can either now or in the very near future automate with AI.This is a far cry from all work. But there are a lot of jobs that can be accomplished by stringing together many one-second tasks. 📈 Put this together with that “machine and AI algorithmic innovation transform analytics … to supercharge the [Pareto 80/20 principle]”, and it paints a picture of how important it is for firms to get the grips with AI’s impact. Michael Schrage’s argument in Harvard Business Review learning In essence, the availability of data across organisations will identify opportunities where the optimisation is not an 80/20 but perhaps a super-pareto (a 99/1). In other words, taking Pareto’s observation that small components may have substantial impact and lasering in on where those effects are more significant. 🔮 To see how this works in practice, I really recommend . Lange has run machine learning platforms at Microsoft, Amazon, Uber and Unity. (I recently saw him speak at an excellent .) Danny Lange ’s excellent presentation on AI in the enterprise Nordic.AI event The arrival of AI is in firms. also changing organisational structures Many companies are now putting greater emphasis on cultural fit and adaptability, knowing that individual roles will have to evolve along with the implementation of AI. Both Ng and Schrage describe AI in the terms that “potent tools that promise a more prosperous and comfortable ”. Kaplan reckons that “[p]ublic discourse about AI has become untethered from reality.” Jerry Kaplan calls future Or as says in this lovely essay: “ ” Ines Montani please, finally, stop using that same old fucking wired brain illustration. Elsewhere: 🚗 How Drive.AI is . There has been much discussion about whether deep learning on its own can handle the complexities of autonomous driving or needs to be married with more traditional robotics approaches. Drive seems to be one firm emphasising a holistic deep learning approach. using deep-learning from soup-to-nuts in their new autonomous vehicle tech FASCINATING 🗼 How could AI could improve the understanding of a site and its environs, support design decision making and the creative endeavour, foster better client relations and facilitate novel AI-robot enhanced craftsmanship. artificial intelligence change architecture? . Moving into trial in 50 burger joints over the next two years. (Video) Flippy the burger making robot Nice application of machine learning to assist in fairer bail and sentencing IBM’s achieves a 5.5% error rate continuous speech recognition system A look at Graphcore’s chip architectures which are optimised for machine learning Did ? Possibly not. Cambridge Analytica’s secret psychographic sauce really help Trump’s victory 48m twitter accounts are actually bots with bots Shanghai factory plans to replace all humans Quantum dept of maybe I’ve been meaning to cover more quantum computing for a few weeks but this week and my buddies at went to town on it. You can access here. Nature The Economist Jason Palmer’s survey in The Economist which promises to make quantum computing more widely accessible. It won’t outperform conventional computing (yet) but could be a useful playground for developers. IBM has announced IBM Q, ArsTechnica has more details on IBM’s 50-qubit computer. Time crystals, the seventh state of matter, are official. (We hinted at this in ). Simple ; more . EV#98 explanation from WSJ detailed explanation from Nature 🔬 Obituary of Peter Mansfield, pioneer of magnetic resonance imaging Small morsels to appear smart at dinner parties We a re watching more video, just not more TV The turning to new chip architectures at Intel’s cost. Wintel marriage is falling apart and Microsoft is Handy brief history of Blockchain within 100 days. Tesla reckons it can solve South Australia’s energy problems 🇨🇳 China will have more than a quarter of a billion over-60s within 3 years How the food (and wider) trade blockchain might improve (Machine learning meets psychology with a surprising result.) Your name might affect your facial appearance. Is ambiguity a ? better barometer of market uncertainty than volatility UK as coal use tails off carbon emissions drop 6% Half of all new Norwegian cars are electric or hybrid 🌍 Brian Whittaker: The rise of Arab atheism Tinder Select is a new invite-only version for highly-rated members. 👨🏽🔬 Gorgeous to five different people (including a five year old kid). video of a neuroscientist explain the connectome
