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Ethan Mollick shared this“We find that on medium-length, well-defined accounting tasks, frontier AI models are now faster and more accurate than junior accountants, even the best one in our study.” Eighteen months ago they scored well below human accountants Good discussion here: https://lnkd.in/e_xXizwW
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Ethan Mollick posted thisSitting through PowerPoints has become much better since we got good AI. Sure, some people just let AI do the thinking work, but that is obvious (and they used default PowerPoint templates before AI, so little is lost). For people who do care, they have interesting layouts and funny visual jokes and good diagrams.
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Ethan Mollick shared thisI wrote about the thing I underestimated most about progress in AI: its ability to self-organize to accomplish tasks. Also, what that means for agents like Muse and Dots, along with a music video explaining why we keep relearning The Bitter Lesson. https://lnkd.in/e3UabAAm
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Ethan Mollick posted thisAs a heads-up: every firm's customer service agents are about to be overwhelmed with Dots and Muses and other Clawlikes negotiating for better deals using voice/chat channels made for humans. Stories of people delegating this sort of work to their agents & saving money as a result are popping up and are going to only go more viral. They can use the channels built for humans, but which have far too much friction for any human to use. Your Clawlike is happy to navigate a phone tree or stay on hold or have an awkward conversation with an agent where they get rejected... and then try again.
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Ethan Mollick posted thisA thing to know about the AI business is the Labs that have frontier models can release half-built products and they work surprisingly well because the AI can just figure stuff out and improvise. Its like including a forward deployed engineer and a customer service agent in the product. Every one of the apps from the AI Labs have weird edges and are under-documented and break sometimes and update without any sort of notice or changelog and change UIs on a dime... but even a broken early version of whatever product they are shipping is still better then a well-built traditional product a lot of the time because LLMs are just unreasonably effective tools at doing a vast array of stuff. And, from what I have seen, people and companies are learning to just roll with it as a result.
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Ethan Mollick shared thisLeaving aside Anthropic's incentives for publishing this research, there is no doubt that open weights models will soon create the same security threats that closed source models have been demonstrating, except without guardrails. We are already quite close to that point. Probably good to plan accordingly.
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Ethan Mollick posted thisI only used the newly announced ChatGPT Dots briefly before launch, so can’t offer a detailed review, but I found it to be a good entry in the rapidly-expanding Clawlike category with Muse & Grokbot. Using a capable model with access to your data as an assistant & second opinion is remarkably useful It also has a natural analog on teams as a persistent entity with a job that you can delegate to using existing team communication tools like Slack. I expect more Clawlikes soon, though I don’t think they are the final form of this type of AI.
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Ethan Mollick shared thisAs least year's DevDay, this is what OpenAI said agents would look like: wiring diagrams of AI agent actions and interactions with other systems. This was two months before OpenClaw and six months before self-organizing swarms. The entire product was killed early this year. Two lessons: 1) AI is evolving quite quickly 2) The AI labs aren't always anticipating how quickly in the products they are making and releasing
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