Dan H

• Dan HMay 3, 2024, 5:16 AM

  4 points

  0 ∶ 1

  in reply to: Zach Stein-Perlman’s comment on: In­tro­duc­ing AI Lab Watch

  I mean Google does basic things like use Yubikeys where other places don’t even reliably do that. Unclear what a good checklist would look like, but maybe one could be created.

AISN #34: New Mili­tary AI Sys­tems Plus, AI Labs Fail to Uphold Vol­un­tary Com­mit­ments to UK AI Safety In­sti­tute, and New AI Policy Pro­pos­als in the US Senate

• Dan HMay 2, 2024, 6:45 AM

  13 points

  5 ∶ 0

  on: In­tro­duc­ing AI Lab Watch

  To my understanding, Google has better infosec than OpenAI and Anthropic. They have much more experience protecting assets.

AISN #33: Re­assess­ing AI and Biorisk Plus, Con­soli­da­tion in the Cor­po­rate AI Land­scape, and Na­tional In­vest­ments in AI

AISN #32: Mea­sur­ing and Re­duc­ing Hazardous Knowl­edge in LLMs Plus, Fore­cast­ing the Fu­ture with LLMs, and Reg­u­la­tory Markets

AISN #31: A New AI Policy Bill in Cal­ifor­nia Plus, Prece­dents for AI Gover­nance and The EU AI Office

AISN #30: In­vest­ments in Com­pute and Mili­tary AI Plus, Ja­pan and Sin­ga­pore’s Na­tional AI Safety Institutes

AISN #29: Progress on the EU AI Act Plus, the NY Times sues OpenAI for Copy­right In­fringe­ment, and Con­gres­sional Ques­tions about Re­search Stan­dards in AI Safety

AISN #28: Cen­ter for AI Safety 2023 Year in Review

AISN #27: Defen­sive Ac­cel­er­a­tionism, A Ret­ro­spec­tive On The OpenAI Board Saga, And A New AI Bill From Se­na­tors Thune And Klobuchar

AISN #26: Na­tional In­sti­tu­tions for AI Safety, Re­sults From the UK Sum­mit, and New Re­leases From OpenAI and xAI

AISN #25: White House Ex­ec­u­tive Order on AI, UK AI Safety Sum­mit, and Progress on Vol­un­tary Eval­u­a­tions of AI Risks

AISN #24: Kiss­inger Urges US-China Co­op­er­a­tion on AI, China’s New AI Law, US Ex­port Con­trols, In­ter­na­tional In­sti­tu­tions, and Open Source AI

AISN #23: New OpenAI Models, News from An­thropic, and Rep­re­sen­ta­tion Engineering

AISN #22: The Land­scape of US AI Leg­is­la­tion - Hear­ings, Frame­works, Bills, and Laws

MLSN: #10 Ad­ver­sar­ial At­tacks Against Lan­guage and Vi­sion Models, Im­prov­ing LLM Hon­esty, and Trac­ing the In­fluence of LLM Train­ing Data

AISN #21: Google Deep­Mind’s GPT-4 Com­peti­tor, Mili­tary In­vest­ments in Au­tonomous Drones, The UK AI Safety Sum­mit, and Case Stud­ies in AI Policy

AISN #20: LLM Pro­lifer­a­tion, AI De­cep­tion, and Con­tin­u­ing Drivers of AI Capabilities

An Overview of Catas­trophic AI Risks

AISN #18: Challenges of Re­in­force­ment Learn­ing from Hu­man Feed­back, Microsoft’s Se­cu­rity Breach, and Con­cep­tual Re­search on AI Safety