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“Pay Risk Evaluators in Cash, Not Equity ” by Adam Scholl

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Conteúdo fornecido por LessWrong. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por LessWrong ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Personally, I suspect the alignment problem is hard. But even if it turns out to be easy, survival may still require getting at least the absolute basics right; currently, I think we're mostly failing even at that.
Early discussion of AI risk often focused on debating the viability of various elaborate safety schemes humanity might someday devise—designing AI systems to be more like “tools” than “agents,” for example, or as purely question-answering oracles locked within some kryptonite-style box. These debates feel a bit quaint now, as AI companies race to release agentic models they barely understand directly onto the internet.
But a far more basic failure, from my perspective, is that at present nearly all AI company staff—including those tasked with deciding whether new models are safe to build and release—are paid substantially in equity, the value of which seems likely to decline if their employers stop building and [...]
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First published:
September 7th, 2024
Source:
https://www.lesswrong.com/posts/sMBjsfNdezWFy6Dz5/pay-risk-evaluators-in-cash-not-equity
---
Narrated by TYPE III AUDIO.
  continue reading

365 episódios

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iconCompartilhar
 
Manage episode 438668537 series 3364758
Conteúdo fornecido por LessWrong. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por LessWrong ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Personally, I suspect the alignment problem is hard. But even if it turns out to be easy, survival may still require getting at least the absolute basics right; currently, I think we're mostly failing even at that.
Early discussion of AI risk often focused on debating the viability of various elaborate safety schemes humanity might someday devise—designing AI systems to be more like “tools” than “agents,” for example, or as purely question-answering oracles locked within some kryptonite-style box. These debates feel a bit quaint now, as AI companies race to release agentic models they barely understand directly onto the internet.
But a far more basic failure, from my perspective, is that at present nearly all AI company staff—including those tasked with deciding whether new models are safe to build and release—are paid substantially in equity, the value of which seems likely to decline if their employers stop building and [...]
---
First published:
September 7th, 2024
Source:
https://www.lesswrong.com/posts/sMBjsfNdezWFy6Dz5/pay-risk-evaluators-in-cash-not-equity
---
Narrated by TYPE III AUDIO.
  continue reading

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