A key skill in HR (and anything related to management) is being able to figure out when people are lying – and then piece together the ground truth LLMs are inherently gullible
@simonw
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Vector Databases Are Just Advanced Relational Indexes
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Vector DBs on the other hand feel to me like a new type of relational database index that are pretending to be a whole new kind of database
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RAG Remains Essential for Large Language Models
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I can't imagine RAG becoming irrelevant. Even long context LLMs still need to have documents selectively added to that context to increase the chance of a correct answer, and I don't see any other way of answering questions using content that's only a few minutes/hours old
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Database choices for different traffic scales and budgets
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Depending on the amount of traffic you expect you might find SQLite or DuckDB on a laptop works just fine, or maybe PostgreSQL with 4GB of RAM, or as things get larger you could try BigQuery or similar
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Accessible Dropdown Menu Component Development Discussion
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Any chance you might be interested in doing a drop down menu comoonent? I haven't even found one of those that I trust from an accessibility perspective to be honest
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Document accessibility in open source JavaScript components
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Honestly, if an open source JavaScript component doesn't include this level of detail on the accessibility story I tend to assume they haven't put the work in So if you've done that work, please document it like this!
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Calendar Date Picker Web Components with Accessibility Features
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These calendar date picker web components are really neat, but the best feature is this accessibility statement: https://
wicky.nillia.ms/cally/accessib
ility/
… Includes an explanation of the accessibility features, which were tested on Chrome + NVDA, Chrome + JAWS, Firefox + NVDA, Safari + VoiceOver -
LLMs Risk: Hallucinations and False Source Attribution
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I think that's OK: it's an analogy. Bears could kill you. LLMs could embarrass you by causing you to cite a non-existent source.
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LLMs Compared to Trained Circus Bear Making Porridge
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My new favourite analogy for LLMs: "LLMs are like a trained circus bear that can make you porridge in your kitchen" From @komorama in his Bits and Bobs weekly Google Doc: https://
docs.google.com/document/d/1pt
HfoKWn0xbNSJgdkH8_3z4PHLC_f36MutFTTRf14I0/edit
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Worker Code Optimization: Snapshot Strategy at Deploy Time
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One example: "We scan the Worker’s code for import statements, execute them, and then take a snapshot of the Worker’s WebAssembly linear memory. Effectively, we perform the expensive work of importing packages at deploy time, rather than at runtime."