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GPT-5 Early Access: Reasoning Beyond the Token

Sarah Connor
GPT-5 Early Access: Reasoning Beyond the Token
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The Shift from Prediction to Planning

When Sam Altman tweeted “Her” last year, we thought it was hype. GPT-5 proves it wasn’t. Unlike GPT-4, which often hallucinated when asked to perform multi-step logical deduction, GPT-5 introduces an internal “Workspace” state.

How it Works

Before generating a user-facing response, GPT-5 performs a silent “Draft of Thought” (DoT).

  1. Analyze Request: Deconstructs the prompt into variables.
  2. Verify Constraints: Checks internal logic against facts.
  3. Generate Output: Only then does it stream text to the user.

Code Generation Benchmark

We asked GPT-5 to write a Rust kernel driver for a custom I2C device.

  • GPT-4o: Compiled with 3 errors.
  • Claude 3.5 Opus: Compiled but failed runtime checks.
  • GPT-5: Flawless compilation and included safety comments.

The Cost of Intelligence

Inference cost has doubled. The “Workspace” steps consume tokens that you don’t see but definitely pay for. For enterprise users, this precision is worth the price. for casual users, GPT-4o-mini remains the king of value.

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