"Equivalent" . It might be good (and I hope it *is* good in its own right – JSON-native, document-style databases are critical for AI workloads, in particular), but let's not play make believe on compatibility. (Note F's 2.0 blog where they ack perf/etc has been relative)
@mjasay
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Credit Card Fraud Risks and Ethical Concerns in Benefit Systems
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That really is shocking, Sam. I'm so sorry. And it's bizarre to use the excuse that you "benefited." Think of how much that principle could be abused by fraudsters (and cc companies!).
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LLMs Training Data Dependency: Stack Overflow Risk
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@GergelyOrosz Given the LLMs' dependence on training data from Stack Overflow (and other Q&A forums), what happens when SO dies and that information source dies with it? How do LLMs replenish their sources?
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Apple’s AI Text Message Summarization Feature Called Anti-Feature
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It is an anti-feature. Somehow it got turned on for my text messages on iOS. Not only did it summarize in wrong and weird ways, but…text messages tend to be short! I don't need a summary of a 5-word message.
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Google’s Strategic Role as Demanding Customer Zero
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Google's strength has always been that it's usually Customer Zero (and a very demanding one, at that).
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MongoDB Flexibility Schema Enforcement Data Management
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Notes @AndrewYNg
, "
@MongoDB lets you write code quickly and sort out later exactly what you want to do with the data." But also: you can then structure and enforce schema just like you do in relational. MongoDB offers maximum flexibility in prototyping & predictability in prod -
AWS for AI: The Infrastructure Gap in Enterprise Deployment
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Earlier I said "we need a Red Hat for AI" (
https://
infoworld.com/article/233716
0/we-need-a-red-hat-for-ai.html
…), but what we really need is an AWS for AI (and, yes, I know AWS is working on this). There's *so* much "undifferentiated heavy lifting" needed to make AI work today. AWS (or Google/MS/etc) needs to do more here -
Apple’s iOS Text Summaries Feature Fails to Accurately Condense Messages
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Turned off iOS' new summaries "feature." They're always so opaque that I end up reading the texts to see what Apple tried to summarize. (Here, my friend thanked me for pics I took while skiing, and noted other skiers started after us but never caught up. They took no pics. )
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Vector databases aren’t necessary infrastructure for embeddings
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"While embeddings fundamentally changed how we can represent and compare content, they didn't need an entirely new infrastructure category." No, you don't need a "purpose-built" vector database. @jobergum nails it.
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LLM Training Data Crisis: When Human Content Stops
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You and soooo many others. But if people stop posting/answering questions there, at some point the LLMs will be a dead-end for answers. The LLMs aren't going to train themselves….