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Rising Tide Rents and Robber Baron Rents

O'Reilly

Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” Even social media started with the promise of information triage: for each person, a unique feed of updates from only the friends they had chosen to follow.

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To understand the risks posed by AI, follow the money

O'Reilly

The problems fostered by social media, search, and recommendation algorithms was never an engineering issue, but one of financial incentives (of profit growth) not aligning with algorithms’ safe, effective, and equitable deployment. The internet protocols helped keep the internet open instead of closed.

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How Dynatrace uses Dynatrace to combat the Log4j vulnerability (Log4Shell)

Dynatrace

As organizations started learning about Log4Shell from news feeds, blogs, and social media, the Dynatrace security team—and Dynatrace Application Security—kicked into action. The vulnerability enables a remote attacker to execute arbitrary code on a service on the internet if the service runs certain versions of Log4j 2.

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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Using models like GPT-3, multiple entities could inundate social media platforms with misinformation at a scale where the majority of the information online would become useless.

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Reducing The Web’s Carbon Footprint: Optimizing Social Media Embeds

Smashing Magazine

Reducing The Web’s Carbon Footprint: Optimizing Social Media Embeds. Reducing The Web’s Carbon Footprint: Optimizing Social Media Embeds. Measuring the carbon footprint of the web isn’t an exact science, but a report by the BBC in 2020 estimates that all internet activity accounts for around 3.7% Michelle Barker.

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Serverless Reference Architectures with AWS Lambda

All Things Distributed

The Internet of Things (IoT) Backend reference architecture demonstrates how to use AWS Lambda in conjunction with Amazon Kinesis, Amazon DynamoDB, Amazon Simple Storage Service (Amazon S3), and Amazon CloudWatch to build a serverless system for ingesting and processing sensor data. IoT Backend Serverless Reference Architecture.

Lambda 109
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Serverless Reference Architecture with AWS Lambda

All Things Distributed

The Internet of Things (IoT) Backend reference architecture demonstrates how to use AWS Lambda in conjunction with Amazon Kinesis, Amazon DynamoDB, Amazon Simple Storage Service (Amazon S3), and Amazon CloudWatch to build a serverless system for ingesting and processing sensor data. IoT Backend Serverless Reference Architecture.

Lambda 105