搜索“OpenAI”

very important. The sooner the world can start a conversation about what these broad bounds are and how we define collective alignment, the better We (the whole industry, not just OpenAI) are building a brain for the world. It will be extremely personalized and easy for everyone to use; we will be limited by good ideas. For a long time, technical people in the startup industry have made fun of “the idea guys”; people who had an idea and were looking for a team to build it. It now looks to me lik

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algorithm that only excels in toy settings. So why don’t we first figure out the environment we actually want to solve, then find the algorithm best suited for it? That’s exactly OpenAI’s initial plan. It built gym, a standard RL environment for various games, then the World of Bits and Universe projects, trying to turn the Internet or computer into a game. A good plan, isn’t it? Once we turn all digital worlds into an environment, solve it with smart RL algorithms, we have digital AGI. A good

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{\url{https://metr.org/blog/2025-01-17-ai-models-dangerous-before-public-deployment/}} , year = {2025} , month = {01} , } Many frontier AI safety policies from scaling labs (e.g. OpenAI’s Preparedness Framework, Google DeepMind’s Frontier Safety Framework, etc.), as well as past work by third party evaluators including UK AISI , Apollo Research , and METR , focus on pre-deployment testing – ensuring that the AI model is safe and that the lab has sufficient security before the lab deploys the mo

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any has won, and network effects have become self-perpetuating and insurmountable, then you don’t beat that by making the same thing but slightly better, and getting a judge to give you an entry point. You win by making the old thing irrelevant. Google didn’t build a better PC operating system or a Win32 office suite, Facebook didn’t do better search, and Apple didn’t do a better Blackberry. And OpenAI got 100m users in two months without going to a judge. Are better models better? The AI summer

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ted numbers of people had both heard of it and used it. As with every observation about the acceleration of tech adoption, a lot of this is ‘standing on the shoulders of giants’ - OpenAI didn’t have to wait for people to buy devices or for telcos to build DSL or 3G. For consumers, ChatGPT is just a website or an app, and (to begin with) it could ride on all of the infrastructure we’ve built over the last 25 years. So a huge number of people went off to try it last year. The problem is that most

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