AIToday

Anthropic cuts Claude Code system prompt 80% as newer models need less instruction

THE DECODER2d ago4 min read
Anthropic cuts Claude Code system prompt 80% as newer models need less instruction

Key takeaway

Anthropic has cut the system prompt for Claude Code by 80 percent, reflecting a fundamental shift in how newer Fable 5 models respond to instructions. Rather than requiring lengthy, detailed rules and examples, these newer models perform better with shorter prompts and work more creatively within broader context-based guidance. This suggests that as AI models become more capable, the way companies steer and control them may need to change dramatically.

Summaries like this, in your inbox every morning.

Sign up free →

3 Key Points

  • What happened

    Anthropic has reduced the system prompt for Claude Code by 80 percent. The shift reflects a change in how the newer Fable 5 models (also called the Mythos class) respond to instructions—they perform better with shorter prompts and fewer examples, according to Tariq Shihipar, a member of technical staff at Anthropic.

  • Why it matters

    This represents a fundamental change in AI steering. Earlier models required lengthy, detailed instructions with many examples and hard rules. Now Anthropic is steering Fable models through context instead of explicit constraints, since the models are more capable of working imaginatively within broader guidance. This suggests how companies train and control next-generation AI systems is shifting.

  • What to watch

    Anthropic describes this as one stage in an evolving pattern: early models needed short prompts with restrictive rules, then prompts grew longer as models improved at understanding them, and now they are becoming shorter again. The approach may indicate how instruction design will need to adapt for future model releases.

FAQ

How has the approach to instructing AI models changed at Anthropic?
Early models needed short prompts with lots of examples and restrictive instructions. Prompts then grew longer as models improved at understanding them. With the newer Fable 5 models, prompts are now getting shorter again, and Anthropic is steering them through context rather than hard rules like 'do not do this.'
Why do the newer Fable models perform better with smaller prompts?
According to Tariq Shihipar, examples 'tend to constrain it because it's actually more imaginative than the examples we give it.' The models are capable enough that extensive examples and detailed rules can actually limit their performance rather than improve it.

Discussion

No comments yet. Be the first to share your thoughts!

Log in to join the discussion

Related Articles

Stay ahead with AI news

Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.

Get Started Free

Free · takes 30 seconds · unsubscribe anytime

1 minute a day. The AI essentials.

200+ sources · Email / LINE / Slack

Get it free →