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Strong Eventual Consistency – The Big Idea Behind CRDTs

news.ycombinator.com Unknown 2025-10-06 01:46:17

Strong Eventual Consistency - The Big Idea behind CRDTs CRDTs. Data structures that can be replicated across multiple nodes, edited independently, merged back together, and it all just works. But collaborative document editing and multiplayer TODO lists are just the tip of the iceberg - I believe the big application is distributed databases, and for that we need to talk about consistency. CRDTs are a tool for Strong Eventual Consistency. Let's start with the definition of normal Eventual Consi

Topics: consistency crdts eventual nodes strong
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Expert Says Collapse of Human Civilization Looks Like the Most Likely Scenario

futurism.com Unknown 2025-12-08 17:13:12

New research is warning that the most likely outcome is that human civilization is poised for collapse. As The Guardian reports, a sweeping new historical survey that analyzes 5,000 years and the collapse of more than 400 societies makes the case that we're in for a rude awakening. "We can’t put a date on Doomsday, but by looking at the 5,000 years of [civilisation], we can understand the trajectories we face today — and self-termination is most likely," Luke Kemp, research fellow at the Cente

Topics: collapse eventually human people told
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How a data-processing problem at Lyft became the basis for Eventual

techcrunch.com Rebecca Szkutak 2026-02-24 22:00:00

When Eventual founders Sammy Sidhu and Jay Chia were working as software engineers at Lyft’s autonomous vehicle program, they witnessed a brewing data infrastructure problem — one that would only become larger with the rise of AI. Self-driving cars produce a ton of unstructured data from 3D scans and photos to text and audio. There wasn’t a tool for Lyft engineers that could understand and process all of those different types of data at the same time — and all in one place. This left engineers

Topics: ai data eventual infrastructure sidhu
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How a data processing problem at Lyft became the basis for Eventual

techcrunch.com Rebecca Szkutak 2026-02-26 04:00:00

When Eventual founders Sammy Sidhu and Jay Chia were working as software engineers at Lyft’s autonomous vehicle program, they witnessed a brewing data infrastructure problem — and one that would only become larger with the rise of AI. Self-driving cars produce a ton of unstructured data from 3D scans and photos to text and audio. There wasn’t a tool for Lyft engineers that could understand and process all of those different types of data at the same time — and all in one place. This left engine

Topics: ai data eventual infrastructure sidhu
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