This is really going viral. OpenAI released its new model #o1 with reasoning. Now that the storm 🌬 has calmed down a little overnight from a European perspective and people have started to think for themselves, here's what I think: - OpenAI o1 is not ‘the’ #AGI that many expected. It is much more a further development to correct known weaknesses. - The main performance improvements are, as OpenAI confirms, due to the reasoning part. A good drawing from Tom Yeh of how this is done after the actual #LLM can be found here: https://lnkd.in/eFhSxqJR - I think OpenAI o1 is proof that LLMs do not get better through scaling, but rather through an approach that is comparable to that of automatic agents. However, it remains to be seen whether the reasoning core, insofar as it is integrated into the model, will perform better in the long term. My prediction: #OpenSource LLMs will close the existing gap with something like automatic agents #AutoAgents in a short time. My conclusion: It will be increasingly important to execute LLMs quickly in order to be able to iteratively improve a result in a reasonable amount of time. In the future, we will consume more tokens for a request in order to achieve better results. What do you think? 🤔
We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond. This new series of AI models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. Rolling out today in ChatGPT to all Plus and Team users, and in the API for developers on tier 5. More here: www.openai.com/o1
