“Artificial intelligence software and robots are powerful in pattern recognition, predictive analytics, heavy computations, and handling repetitive tasks,” writes Artur Kiulian in Why Your Next Boss Will Be A Robot. “Thanks to these capabilities, machines are gradually replacing humans in many occupations and activities, to extent of a growing concern about the impact of automation on the job market.”
Artificial Intelligence can make the web more accessible (Abhinav Suri), colorize black & white photos (Harshvardhan Gupta), be the result of a 2 hour chatbot build (Shival Gupta), and yet, it may — or may not — kill us all (Daniel Jeffries). Consider how Larry Page put it: “Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.”
This message is brought to you by AMI. Your friend with a story. Submit your story to Hacker Noon today.
If you really want to understand the foundation of AI, read The AI Hierarchy of Needs by Monica Rogati: “Think of AI as the top of a pyramid of needs. Yes, self-actualization (AI) is great, but you first need food, water and shelter (data literacy, collection and infrastructure).”
In the blogosphere, what data matters to the machine? Pageviews, time reading, bounce rate, likes, tweets, claps, comments, sense of enlightenment, sense of unwanted enlightenment, time laughing, depth of the chuckle, solving a problem, how to build X, how not to build Y, how someone else built Z and it FAILED — we know it's all on internet's table. At Hacker Noon, how do you think we should prioritize what we publish when? This is a community driven operation, so I thought I’d ask :-)
10 stories that 10s of thousand of people recently read on Hacker Noon:
21 Things I Wish Someone Told Me as a Young Founder by Founder Collective’s Noah Jessop.
How To Become A Machine Learning Engineer: Learning Path by Entrepreneur and Software Developer Andrey Nikishaev
Go vs .NET Core in terms of HTTP performance by self-taught developer Gerasimos Maropoulos
Is NEO the One? by author, engineer and serial entrepreneur Daniel Jeffries
WTF is Ethereum? by Unmade Editor Mohit Mamoria
The Risky Game of Relying on a Juniors Developers Team by Web Tech Lead & Full Stacker at AT&T Dor Moshe
Jokes Programmers will understand by Iron Yard Web Developer Ethan Jarrell
Traditional Asset Tokenization by University of Oregon Professor Stephen McKeon
11 Ways I Visualize Product Development Work by Multiple Hat Wearer John Cutler
The Curious Tale Of Tethers by BitCrypto’ed
Anyways, it's clear to me that machines will increasingly be responsible for judging the quality of our work. And I trust machines as much as I trust the next trained, logical, and cold-blooded stranger. At the same time, I value using machines to tell me the effectiveness of work. If a machine can short list the information, am I not a schmuck to start my work in the raw data?
Let your technology be an extension of your (good) will. Until next time, don't take the realities of the world for granted.
Kind Regards,