What Vicki Boykis thinks about LLMs
Machine learning engineer working on recommender systems, personalization and information retrieval; author of the 'What are embeddings?' text.
Vicki Boykis did not write this page.
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4 dated positions, 2026, in their own words. Our reading of what Vicki Boykis has said — not written or endorsed by them.
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Their wordsBut where it starts to get dicey is when you have both jargon and long text explanations being generated by machines, for people at different levels of understanding.
- 8 weeks earlier
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Our readingLocal language models can now perform agentic coding tasks at close to frontier-model quality.
Their wordsI've finally been able to do agentic coding locally and have loops work at about ~75% the accuracy/speed of frontier models, which is incredible.
↗Running local models is good nowvickiboykis.com 1st of 3 in this piece
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Their wordsNeedless to say, I'm not sure this is ready for production software development quite yet.
↗Running local models is good nowvickiboykis.com 2nd of 3 in this piece
- 3 weeks earlier
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Their wordsIt really does take extra concerted effort to move from just generating answers to using the tool deliberately.
↗We should be more tired than the modelvickiboykis.com 2nd of 2 in this piece