- We’re building an artificial intelligence-powered dystopia, one click at a time, says techno-sociologist Zeynep Tufekci.
- In an eye-opening talk, she details how the same algorithms companies like Facebook, Google and Amazon use to get you to click on ads are also used to organize your access to political and social information.
- Techno-sociologist Zeynep Tufekci asks big questions about our societies and our lives, as both algorithms and digital connectivity spread.
We’re building an artificial intelligence-powered dystopia, one click at a time, says techno-sociologist Zeynep Tufekci. In an eye-opening talk, she details how the same algorithms companies like Facebook, Google and Amazon use to get you to click on ads are also used to organize your access to political and social information. And the machines aren’t even the real threat. What we need to understand is how the powerful might use AI to control us — and what we can do in response.
Continue reading “Zeynep Tufekci: We’re building a dystopia just to make people click on ads”
- Today, the industrial internet of things has already had an impact on how effectively a factory is run and how its equipment runs.
- With a network of devices directly linked in the industrial internet of things, there are a few benefits.
- If there is a jam in machinery, a device connected to the internet of things can halt production around it.
- If there is a global internet outage, how does that impact factory equipment and other items that are attached through the network that is running the industrial internet of things?
- While there are some concerns, that doesn’t mean a company shouldn’t consider the industrial internet of things as a solution.
The Industrial Internet of Things – Bill McCabe. The technology in a factory today is far different from what was there even a decade ago.
Continue reading “The Industrial Internet of Things”
- It seems there is a new, hyperbolic vendor announcement about applying Artificial Intelligence and/or Machine Learning (AI/ML) to data management daily.
- So, the question is, where are these vendors getting their training sets that make their AI useful to solve your data management problems?
- In the world of data management, the best source of training sets comes from metadata.
- All this data provides a wealth of information for AI/ML to make suggestions and recommendations that will boost productivity of users.
- If you would like to cut short a vendor evaluation, here are some questions to ask the vendor claiming to have AI integrated with their data management solution: – – Just the first two or three questions should be enough to save you from an hour of “Death by PowerPoint.”…
AI for Data Management: Making Sense of Vendor Claims
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- And while many of the tech giants working on AI like Google and Facebook have open sourced some of their algorithms, they hold back most of their data.In contrast, blockchains represent and even incent open data.
- For example: creating a decentralized Uber requires a relatively open dataset of riders and drivers available to coordinate the network.The network effects and economic incentives around these open systems and their data can be more powerful than current centralized companies because they are open standards that anyone can build on in the same way the protocols of the internet like TCP/IP, HTML, and SMTP have achieved far greater scale than any company that sits atop them.
- And oracle systems (a fancy way of saying getting people all over the world to report real world information to the blockchain in a way we can trust) like Augur will inject more data.This open data has the potential to commoditize the data silos most tech companies like Google, Facebook, Uber, LinkedIn, and Amazon are built on and extract rent from.
- AIs trained on open data are more likely to be neutral and trustworthy instead of biased by the interests of the corporation who created and trained them.Since blockchains allow us to explicitly program incentive structures, they may make the incentives of AI more transparent.Simplified, AI is driven by 3 things: tools, compute power, and training data.
- My guess is they shift to 1) creating blockchain protocols and their native tokens and 2) AIs that leverage the open, global data layer of the blockchain.
Sam Altman recently wrote that we are entering an era of hyperscale technology companies. These companies own massive troves of data with strong network effects around them and they are only getting…
Continue reading “Blockchains are a data buffet for AIs – Fred Ehrsam – Medium”
- Becoming Human: Intel is Bringing the Power of Sight to Machines
- With the existing applications of Intel’s RealSense platform, Movidius is even better equipped to realize its dream of giving sight to machines.
- “We see massive potential for Movidius to accelerate our initiatives in new and emerging technologies.
- Intel acquires eight-year old startup Movidius to position itself as the leader in computer vision and depth-sensing technologies.
- While the details of the acquisition remain undisclosed, Intel and Movidius both stand to gain from this deal.
Intel acquires eight-year old startup Movidius to position itself as the leader in computer vision and depth-sensing technologies. While the details of the acquisition remain undisclosed, Intel and Movidius both stand to gain from this deal.
Continue reading “Becoming Human: Intel is Bringing the Power of Sight to Machines”
- Machine learning is going to upend your industry and your product.
- ” What Every Manager Should Know About Machine Learning ” by Mike Yeomans
- Product managers need to understand the current state of AI, and the opportunities that machine learning and techniques such as deep learning provide for transforming your products and delighting your users.
- Machine learning is changing the face of computing, and faster than many of us ever imagined.
- Prior to joining GV, Ken was a group product manager at Google.
Read the full article, click here.
@kennethn: “Machine Learning for Product Managers – my latest newsletter”
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Machine Learning for Product Managers