The Verge ‘Bosworth says CTRL-Labs’ wristband will be instrumental in developing new ways of interacting with machines without needing traditional mouse-and-keyboard setups, touchscreens, or any form of physical controller whatsoever. “Technology like this has the potential to open up new creative possibilities and reimagine 19th century inventions in a 21st century world,” he writes. “This is how our interactions in VR and AR can one day look. It can change the way we connect.”’
Interesting perspective of LA from AngelList. The Data Exchange Report June 2019 for Los Angeles has sums up the current state of affairs for talent and technology here in the Southland.
“LA’s tech scene has a lot going for it—beautiful sunshine, booming amounts of venture capital, a lower cost of living than its Silicon Valley counterpart. But as it catches up with New York and the Bay Area to become one of the most sought-after destinations for engineers and technical talent, it’s also losing its most valuable asset—new grads.”
Facebook announced their plans for a new decentralized blockchain, a low-volatility cryptocurrency, and a smart contract platform that together aim to create a new opportunity for responsible financial services innovation.
“Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people.”
- Read the white paper
- Dive into the developer site
- Skim the PR
- Check the industry’s initial thoughts on opportunities and challenges
- Skip the rest of the opinions and hot takes for awhile.
- (Ed: This could go either way. Only time will tell.)
Lessons from the Enterprise: Lots of practical insights from the INSIDE AI Conference. Solid presentation from IBM Research Chief Scientist Ruchir Puri “Focus on the outcomes, not the technology itself.” Refreshing to find out that Enterprise AI sales cycles are just like every other enterprise sales cycle.
“In a paper released Thursday, the OpenAI team demonstrates that we can get those results from an “unsupervised” AI — meaning the system learned from reading 8 million internet articles, not from being explicitly trained for the tasks. Their AI advances the state of the art — in some cases, by a lot. The OpenAI team says their system sets a record for performance on so-called Winograd schemas, a tough reading comprehension task; achieves near-human performance on the Children’s Book Test, another check of reading comprehension; and — most thrillingly to me — generates its own text, including highly convincing news articles and Amazon reviews.”
Found via Product Hunt: Computer generated people. Refresh to get a new one.
The Verge: “The site is the creation of Philip Wang, a software engineer at Uber, and uses research released last year by chip designer Nvidia to create an endless stream of fake portraits. The algorithm behind it is trained on a huge dataset of real images, then uses a type of neural network known as a generative adversarial network (or GAN) to fabricate new examples.”
@kevin2kelly at his best. Optimistic, bold, future facing ideas.
AR Will Spark the Next Big Tech Platform—Call It Mirrorworld
“Someday soon, every place and thing in the real world—every street, lamppost, building, and room—will have its full-size digital twin in the mirrorworld. For now, only tiny patches of the mirrorworld are visible through AR headsets. Piece by piece, these virtual fragments are being stitched together to form a shared, persistent place that will parallel the real world.”
Favorites & Follow Ups: Updated More Frequently
Uber releases Ludwig, an open source AI ‘toolbox’ built on top of TensorFlow • The ride-hailing giant today debuted Ludwig, an open source “toolbox” built on top of Google’s TensorFlow framework that allows users to train and test AI models without having to write code.
AI 100: The Artificial Intelligence Startups Redefining Industries • CB Insights’ third annual cohort of AI 100 startups is a list of 100 of the most promising private companies providing hardware and data infrastructure for AI applications, optimizing machine learning workflows, and applying AI across a variety of major industries.
How It Feels to Learn Data Science in 2019 • Do not take this article too seriously. This is satire so do not treat it as actual advice. Like all advice, some of it is good and some of it is terrible. This piece is just an opinion, much like people’s definition of data science.
Bullshit, Hype, and a Little Magic: How to Make Sense of It All When Buying A.I. Products • Rob May, knows what to look for when it comes to A.I. But many products on the market are being labeled as A.I. just to sound sexy. In this eBook, May explains how to sort through the BS, identify the over-hyped solutions, and critically evaluate what is most important when buying an A.I. product for your business.