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vincirufus
searching PlanetScale…
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5 ms
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31.
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by
vincirufus
1y ago
maybe thats just nature evolving, but surely the corals of today would be very different from the corals of a few decades before
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AI is the natural next step in making computers more accessible and useful
(vincirufus.com)
44 points
by
vincirufus
1y ago
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52 comments
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by
vincirufus
1y ago
Very well said, I have been telling people all around me that slop and brainrot will lead to the extension of humanity
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Agentic RAG and Context Engineering for Agents
(vincirufus.com)
2 points
by
vincirufus
1y ago
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1 comments
35.
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Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
(arxiv.org)
1 points
by
vincirufus
1y ago
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1 comments
36.
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by
vincirufus
1y ago
Quite excited about this paper and how it could lead to building 'true agentic systems' that self learn
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by
vincirufus
1y ago
Interesting point on the monorepo. I've always suspected monorepos would also play a key role in helping coding agents digest large code bases, just havent been able to prove it.
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by
vincirufus
1y ago
Kimi k2 works reasonably well for the price. Opus is still the king, but Kimi would be the poor persons's Sonnet. Gets the job done with a bit of extra help
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AGI is an engineering problem, not a model training problem
(vincirufus.com)
193 points
by
vincirufus
1y ago
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420 comments
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by
vincirufus
1y ago
Neat I have a similar setup but using Kimi k2
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by
vincirufus
1y ago
Wow is is Digg still around??
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by
vincirufus
1y ago
bsolutely agree! Prompt engineering is brittle, hardcoded “templates” that don’t generalize, and it’s simply not scalable as tasks and use cases explode. DSPy’s approach, which builds reusable and composable reasoning patterns, is a huge le