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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. At a glance – TLDR.

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Web Development Trends in 2023

KeyCDN

PWAs are designed to work offline, be fast, and provide a seamless user experience across different devices. Motion UI Motion UI is a design trend involving animation and other interactive elements to create a more dynamic and engaging user experience. They thus adapt to the user's browser, screen size, and device specifications.

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AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”. Who will watch the watchmen?

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To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

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Rising Tide Rents and Robber Baron Rents

O'Reilly

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? That’s exactly what Google, Amazon, and Meta are doing today. They start to collect robber baron rents. It’s not our data.

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Copyright, AI, and Provenance

O'Reilly

What should copyright law mean in the age of artificial intelligence? For a company like O’Reilly Media, a related question comes into play. Google, which invented Transformers, knows better than anyone that Transformer-based models destroy metadata, unless you do a lot of special engineering. Is it possible?

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Sydney and the Bard

O'Reilly

It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. Large language models like ChatGPT and Google’s LaMDA aren’t designed to give correct results. What are the next steps?

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