Artwork

Contenido proporcionado por The Nonlinear Fund. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Nonlinear Fund o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

LW - Introducing AI Lab Watch by Zach Stein-Perlman

2:15
 
Compartir
 

Manage episode 415585584 series 3337129
Contenido proporcionado por The Nonlinear Fund. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Nonlinear Fund o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Link to original article
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Introducing AI Lab Watch, published by Zach Stein-Perlman on April 30, 2024 on LessWrong. I'm launching AI Lab Watch. I collected actions for frontier AI labs to improve AI safety, then evaluated some frontier labs accordingly. It's a collection of information on what labs should do and what labs are doing. It also has some adjacent resources, including a list of other safety-ish scorecard-ish stuff. (It's much better on desktop than mobile - don't read it on mobile.) It's in beta leave feedback here or comment or DM me - but I basically endorse the content and you're welcome to share and discuss it publicly. It's unincorporated, unfunded, not affiliated with any orgs/people, and is just me. Some clarifications and disclaimers. How you can help: Give feedback on how this project is helpful or how it could be different to be much more helpful Tell me what's wrong/missing; point me to sources on what labs should do or what they are doing Suggest better evaluation criteria Share this Help me find an institutional home for the project Offer expertise on a relevant topic Offer to collaborate (Pitch me on new projects or offer me a job) (Want to help and aren't sure how to? Get in touch!) I think this project is the best existing resource for several kinds of questions, but I think it could be a lot better. I'm hoping to receive advice (and ideally collaboration) on taking it in a more specific direction. Also interested in finding an institutional home. Regardless, I plan to keep it up to date. Again, I'm interested in help but not sure what help I need. I could expand the project (more categories, more criteria per category, more labs); I currently expect that it's more important to improve presentation stuff but I don't know how to do that; feedback will determine what I prioritize. It will also determine whether I continue spending most of my time on this or mostly drop it. I just made a twitter account. I might use it to comment on stuff labs do. Thanks to many friends for advice and encouragement. Thanks to Michael Keenan for doing most of the webdev. These people don't necessarily endorse this project. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
  continue reading

1652 episodios

Artwork
iconCompartir
 
Manage episode 415585584 series 3337129
Contenido proporcionado por The Nonlinear Fund. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Nonlinear Fund o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Link to original article
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Introducing AI Lab Watch, published by Zach Stein-Perlman on April 30, 2024 on LessWrong. I'm launching AI Lab Watch. I collected actions for frontier AI labs to improve AI safety, then evaluated some frontier labs accordingly. It's a collection of information on what labs should do and what labs are doing. It also has some adjacent resources, including a list of other safety-ish scorecard-ish stuff. (It's much better on desktop than mobile - don't read it on mobile.) It's in beta leave feedback here or comment or DM me - but I basically endorse the content and you're welcome to share and discuss it publicly. It's unincorporated, unfunded, not affiliated with any orgs/people, and is just me. Some clarifications and disclaimers. How you can help: Give feedback on how this project is helpful or how it could be different to be much more helpful Tell me what's wrong/missing; point me to sources on what labs should do or what they are doing Suggest better evaluation criteria Share this Help me find an institutional home for the project Offer expertise on a relevant topic Offer to collaborate (Pitch me on new projects or offer me a job) (Want to help and aren't sure how to? Get in touch!) I think this project is the best existing resource for several kinds of questions, but I think it could be a lot better. I'm hoping to receive advice (and ideally collaboration) on taking it in a more specific direction. Also interested in finding an institutional home. Regardless, I plan to keep it up to date. Again, I'm interested in help but not sure what help I need. I could expand the project (more categories, more criteria per category, more labs); I currently expect that it's more important to improve presentation stuff but I don't know how to do that; feedback will determine what I prioritize. It will also determine whether I continue spending most of my time on this or mostly drop it. I just made a twitter account. I might use it to comment on stuff labs do. Thanks to many friends for advice and encouragement. Thanks to Michael Keenan for doing most of the webdev. These people don't necessarily endorse this project. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
  continue reading

1652 episodios

Todos los episodios

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida