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title: DeepSeek-V4-Flash makes LLM steering interesting again
description: DeepSeek-V4-Flash, a local model competitive with low-end frontier models for agentic coding, makes LLM activation steering newly practical for engineers. The...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# DeepSeek-V4-Flash makes LLM steering interesting again

**[sean goedecke](https://daily.dev/sources/seangoedecke)** · 8 min read · 7 upvotes · 0 comments

## Summary

DeepSeek-V4-Flash, a local model competitive with low-end frontier models for agentic coding, makes LLM activation steering newly practical for engineers. The post explains how steering works — extracting concept vectors from model activations and boosting them during inference — and explores why it hasn't seen wider adoption: big labs don't need it, API users can't access weights, and basic use cases are outcompeted by prompting. The author is cautiously skeptical: most simple steering gains can be replicated with prompts, while ambitious goals like steering for 'intelligence' or codebase knowledge likely require full fine-tuning. However, with a capable open-weights local model now available, the open-source community may finally start exploring steering seriously, potentially producing libraries of boostable features alongside model releases.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://seangoedecke.com/steering-vectors>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#deepseek](https://daily.dev/tags/deepseek), [#llama-cpp](https://daily.dev/tags/llama-cpp)

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