A huge yes to screenshots! Projects tend to rot, but screenshots last forever
@simonw
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Running Whisper CLI on Mac for batch MP3 processing
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Anyone got a good way of running Whisper as a CLI tool on a Mac? Ideally without having to compile something first I usually use MacWhisper but I have 20 MP3s to process so I'd rather use the terminal
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AI Assistance Creates Job Competition Among Existing Workers
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Maybe a more useful framing is that AI won't take your job, but you should think about people who are doing your job already and who then out-compete you because they use AI assistance to get an edge
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Free hosting solutions GitHub Pages reliability
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I like free hosting, because then it doesn't blink out of existence if a credit card expires GitHub Pages looks like a fantastic option for that these days
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Blogging Strategy: Low Competition Niche Topics Rank Higher
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I keep finding stuff I blogged showing up at the top of Google search queries for all sorts of interesting queries, because there's not as much competition from other bloggers around the topics that I cover
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Technical Communication Skills Essential for Career Advancement
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But as a candidate you can still greatly improve your chances by putting out public evidence that you can do the work – and clear technical communication is very much a part of the job, especially as you grow into more senior levels
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Hiring managers should evaluate impact not public visibility
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… and I know: plenty of great candidates don't have time for side projects or blogging As a hiring manager your job is to find the people who will make the most impact, not to miss out on amazing staff members just because they didn't have time to blog
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Do Stuff Then Blog About It: Essential Career Advice
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"Do stuff and then blog about it" remains one of the most underrated pieces of career advice
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Learning to Use AI Tools Effectively Beyond Initial Hype
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Definitely – but it's worth emphasizing for these "AI" tools because I still see evidence that a lot of people try them once, don't get magical results and write the whole thing off as hype – not realizing that you have to work pretty hard to learn how to use them effectively
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Quantization Evaluation Gap in LLM Model Versions
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I still haven't seen a good evaluation of the differences between different quantized versions of why models to be honest – or even any good anecdotes about things that work and things that don't at different levels So I'm effectively flying blind when it comes to quantization