Worth a read - and it's not just about software. So much of modern work has the same problem.
"Writing code is such a small part of software development, because it's such a small part of solving problems. Communication is the real primary activity."
https://mastodon.cloud/@jasongorman/113565670091709548
[#]work #productivity #efficiency #waste
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Excellent article linked here exploring the difference between summarising a text and merely shortening it (as LLMs do).
"So, when will shortening the text be good enough for a reliable summary? Probably only when summarising consists of nothing else than turning something unnecessarily repetitive and long-winding into something short, i.e. when volume is a good predictor of importance."
https://wandering.shop/@daviddlevine/113552749536571007
[#]ai #llm
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Good opinion piece in The Register that nails the core problem of the current drive to put 'AI' into everything, and particularly business software like MS Office.
"The drive is always to abdicate the dull business of gathering data and thinking about it, and communicating the results. All can be fed as prompts to the machine, and the results presented as your own."
[#]ai #llm #copilot
https://www.theregister.com/2024/11/18/opinion_piece_ai_tools/
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We have an outside loo (ex-council house from the 1940s), although we don't use it much. Especially in the colder months! Today, though, we found this lovely visitor - a common newt who clearly thought they'd found a secluded little pond to spend some time in! #newt #amphibians #wildlife #toilet
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Really worthwhile article if you have any interest in "the future of the web" and how websites are actually made. Thanks @baldur!
https://toot.cafe/@baldur/113277689073174739
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'Whatever #LLMs model, it is not human language, which is not a "large and growing heap, but more a flowing river."'
There is "the assumption of language completeness – there exists a 'thing' called a 'language' that is complete, stable, quantifiable, and available for extraction from traces in the environment.
And there is "the assumption of data completeness – all the essential characteristics can be represented in the datasets that are used to 'train' the model."
https://www.theregister.com/2024/08/30/ai_language_cognition_research
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