Section3 Flashcards

1
Q

What is Profiting from Innovation (PFI) about?

A
  • It’s about who profits from new inventions.
  • Outlined by Teece (1986), focusing on:
    • Appropriability regimes
    • Dominant designs
    • Complementary assets
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2
Q

Define Appropriability Regime

A
  • The extent to which an innovator can capture profits.
  • Strong regime: hard to imitate (e.g., patents).
  • Weak regime: easy to imitate (e.g., few legal protections).
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3
Q

Why is Appropriability crucial?

What are the players?

A
  • Determines who reaps most rewards: innovator, suppliers, or imitators.
  • Impacts profit distribution among market players.
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4
Q

What is a Dominant Design?

A
  • The standard product or process format that emerges in an industry.
  • Before it, competing designs (pre-paradigmatic); after it, industry converges.
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5
Q

What are Complementary Assets?

and name the types

A
  • Additional resources needed to commercialise an innovation effectively.
  • Examples:
    • Generic (e.g., cloud hosting)
    • Specialised (custom APIs)
    • Co-specialised (unique data sets).
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6
Q

What if an innovator lacks Complementary Assets?

A
  • May partner or contract with others (e.g., OpenAI + Microsoft).
  • Risk of sharing profit or losing control.
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7
Q

Is GPT3 easy to replicate?

A
  • GPT2 was partially replicated from published details.
  • GPT3 is harder to reverse-engineer due to secret training data.
  • Shows a relatively strong appropriability (via secrecy).
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8
Q

Has a dominant design emerged for large language models?

A
  • Transformer architecture is now the core standard (e.g. GPT, BERT).
  • Conversational interfaces (e.g. ChatGPT, Bing Copilot) are becoming mainstream.
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9
Q

Why does OpenAI share profit with Microsoft?

A
  • Lacks capital for its own data centres.
  • Exclusive partnership secures computing power.
  • Microsoft licenses OpenAI tech and co-develops infrastructure.
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10
Q

According to Teece (1986), who profits from innovation?

A

It depends on:

  • Appropriability regime (strong vs weak)
  • Dominant design (pre vs post)
  • Complementary assets (generic vs specific).
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11
Q

Can weakening an appropriability regime ever be beneficial?

A
  • Yes. Firms may deliberately open technology to prevent competitors’ patents.
  • Example: Merck making gene data public to avoid gene patent blockages.
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12
Q

Is Llama 2 fully open-source?

A
  • Meta calls it open-source, but with restrictions (e.g., cannot improve rivals’ LLMs).
  • Access often requires approval, so it’s not entirely public domain.
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