All great general purpose technology changes produce huge booms and huge busts.
In this view, AI is what economic historians consider a “general-purpose technology.” These are inventions like the steam engine, electricity, and the internal-combustion engine. Eventually they transformed how we lived and worked. But businesses had to be reinvented, and other complementary technologies had to be created to exploit the breakthroughs. That took decades.
The mission of MIT Technology Review is to equip its audiences with the intelligence to understand a world shaped by technology.
— Read on www.technologyreview.com/s/611482/the-productivity-paradox/
Extrapolate this science 50 Years and the world looks very different. The evils of the future may be very different than today.
Deep-seated fear memories can potentially be rewired, researchers say. A ‘Science’ paper published Thursday shows new evidence suggesting fearful memories that dwell deep in the brain’s neural circuitry don’t have to be a burden forever. It’s possible, the paper suggests, that they can be rewired.
— Read on www.inverse.com/article/45998-rewiring-fear-memories
Photo by Kevin Steinhardt When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have been convincing people that deep learning was a real revolution, not a fad, but there…
— Read on petewarden.com/2018/06/11/why-the-future-of-machine-learning-is-tiny/
Combining the unique strengths of lithium batteries with crazy-fast charging, carbon ultra-capacitors could save a ton of weight and add significant range and power to electric vehicles, according to this fascinating French startup.
— Read on newatlas.com/nawa-technologies-carbon-ultra-capacitor/54972/
Correspondence from The New England Journal of Medicine — Encouraging Trends in Modern Phase 1 Oncology Trials
— Read on www.nejm.org/doi/full/10.1056/NEJMc1803837
One of the most thoughtful reads on AI I have come across…
Tad Friend writes that thinking about artificial intelligence can help clarify what makes us human—for better and for worse.
— Read on www.newyorker.com/magazine/2018/05/14/how-frightened-should-we-be-of-ai
Great work. Clear. Concise.
We love to prognosticate, but it’s impossible to do so without severely glossing over the complexities of the real world. That leads us to false dichotomies, like “Blockchain technology will change everything” versus “Blockchain is all hype.”
— Read on www.aier.org/article/five-reasons-we-dont-know-what-future-will-look