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THE MINDS

SECTION 01

ISSUE 001

PROJECTIONthesis1-3yconfidence / medium

Post-Training Becomes the Product Engine

Projection: DeepSeek V4 combines thinking controls, open weights, and agentic coding, while Gemini 3.5 Flash integrates computer use into a current general model. That shifts product differentiation toward post-training, tool policy, evaluators, and behavior shaping. The mechanism is validated only when workflow-specific gains reproduce outside the training and evaluation harness.

Why this idea is here

What the evidence establishes.

DeepSeek documents V4 Pro and Flash with thinking and non-thinking modes and agentic coding; Google documents Gemini 3.5 Flash seeing, reasoning, and acting across computer environments. These current premises support the product-engine thesis without proving a universal post-training recipe.

Source ledger

Read the sources.

  1. S01
    DeepSeek V4 Pro and V4 Flash

    official model release / published 2026-04-24 / retrieved 2026-07-10

  2. S02
    Computer use in Gemini 3.5 Flash

    official model release / published 2026-06-24 / retrieved 2026-07-10

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