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If you believe a prompt of the form "hey, GPT A make yourself behave like GPT B" can be articulated to be a Chinese room, I put it to you the amount of missing

by ggm 2y ago

If you believe a prompt of the form "hey, GPT A make yourself behave like GPT B" can be articulated to be a Chinese room, I put it to you the amount of missing information between what informs A and what informs B will make this a mountain of work. Do you think it's less work than just making GPT B and why? What quality in the system (inductance aside) is this simply additive? My strawman reads as "wishing for fairytales" basically. But this strawman to me, is the reductive intent inside the article. "Ask a GPT to perform like another later different GPT" epitomises magical thinking. Why bother training if the recursive application is that simple? Because... it's not that simple.

returnInfinity 2y ago
A wrapper will do more than this. Imagine a new UI/UX for a CRM. Completely redesigned from the ground up. Multiple GPT wrappers in a single product. All wrappers working together to achieve a single goal. Also throw in agents. And distribution matters, if some app goes viral, it has a high chance to succeed and beat the current incumbent.
- hobs 2y ago
  The better the LLM GPT thing you build the more your arm your competition to build better LLM GPT things, there's no moat there.
  - TeMPOraL 2y ago
    There's no moat in any of it, but it's not like it matters much if you're not one of the major platforms. This is not a weather for sand-castle builders, it's a weather for surfers. LLM winds a-blowin, pick a wave to jump on, ride down the profits gradient until it's spent, jump to another. It's a time for a million products to bloom, each promising stars, every one gone in 10 months. I'd be more worried about platform dependency at this point. The ol' adage about building your business on someone else's API applies, doubly so in the current geopolitical climate. All those hot AI startups are but a single executive order away from losing half their market, or getting erased from existence altogether.

by ggm 2y ago

returnInfinity 2y ago

A wrapper will do more than this. Imagine a new UI/UX for a CRM. Completely redesigned from the ground up. Multiple GPT wrappers in a single product. All wrappers working together to achieve a single goal. Also throw in agents. And distribution matters, if some app goes viral, it has a high chance to succeed and beat the current incumbent.

hobs 2y ago
The better the LLM GPT thing you build the more your arm your competition to build better LLM GPT things, there's no moat there.
- TeMPOraL 2y ago
  There's no moat in any of it, but it's not like it matters much if you're not one of the major platforms. This is not a weather for sand-castle builders, it's a weather for surfers. LLM winds a-blowin, pick a wave to jump on, ride down the profits gradient until it's spent, jump to another. It's a time for a million products to bloom, each promising stars, every one gone in 10 months. I'd be more worried about platform dependency at this point. The ol' adage about building your business on someone else's API applies, doubly so in the current geopolitical climate. All those hot AI startups are but a single executive order away from losing half their market, or getting erased from existence altogether.