content.raw: Think AGI is just around the corner? Not so fast.
content.type: text
content.value: Think AGI is just around the corner? Not so fast.
content.type: new_line
content.type: new_line
content.raw: When OpenAI released its Computer-Using Agent (CUA) API, I happened to be playing Wordle 🧩 and thought, why not see how the model handles it? 
content.type: text
content.value: When OpenAI released its Computer-Using Agent (CUA) API, I happened to be playing Wordle 🧩 and thought, why not see how the model handles it? 
content.type: new_line
content.raw: Spoiler: Wordle turned out to be a surprisingly effective benchmark. 
content.type: text
content.value: Spoiler: Wordle turned out to be a surprisingly effective benchmark. 
content.type: new_line
content.raw: So Romain Cosentino Ph.D. and I dug in and analyzed the results of several hundred runs.
content.type: text
content.value: So Romain Cosentino Ph.D. and I dug in and analyzed the results of several hundred runs.
content.type: new_line
content.type: new_line
content.raw: 🔑 Takeaways
content.type: text
content.value: 🔑 Takeaways
content.type: new_line
content.raw: 1️⃣ Even the best computer-using models struggle with simple, context-dependent tasks. 
content.type: text
content.value: 1️⃣ Even the best computer-using models struggle with simple, context-dependent tasks. 
content.type: new_line
content.raw: 2️⃣ Visual perception and reasoning remain major hurdles for multimodal agents. 
content.type: text
content.value: 2️⃣ Visual perception and reasoning remain major hurdles for multimodal agents. 
content.type: new_line
content.raw: 3️⃣ Real-world use cases reveal significant gaps between hype and reality. Perception accuracy drops to near zero by the last turn 📉
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content.value: 3️⃣ Real-world use cases reveal significant gaps between hype and reality. Perception accuracy drops to near zero by the last turn 📉
content.type: new_line
content.type: new_line
content.raw: 🔗 Read our arxiv article for more details  
content.type: text
content.value: 🔗 Read our arxiv article for more details  
content.href: https://www.arxiv.org/abs/2504.15434
content.raw: https://www.arxiv.org/abs/2504.15434
content.type: link
rawContent: Think AGI is just around the corner? Not so fast.
  
  When OpenAI released its Computer-Using Agent (CUA) API, I happened to be playing Wordle 🧩 and thought, why not see how the model handles it? 
  Spoiler: Wordle turned out to be a surprisingly effective benchmark. 
  So Romain Cosentino Ph.D. and I dug in and analyzed the results of several hundred runs.
  
  🔑 Takeaways
  1️⃣ Even the best computer-using models struggle with simple, context-dependent tasks. 
  2️⃣ Visual perception and reasoning remain major hurdles for multimodal agents. 
  3️⃣ Real-world use cases reveal significant gaps between hype and reality. Perception accuracy drops to near zero by the last turn 📉
  
  🔗 Read our arxiv article for more details  https://www.arxiv.org/abs/2504.15434
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commentators._id: 663a18c876e6d5b98f3cc94d
commentators.avatarUrl: /avatars/faa2a47dbdd3bce6d47e0fbed6170627.svg
commentators.fullname: Alan Tseng
commentators.name: agentlans
commentators.type: user
commentators._id: 649c9f1ff0f66daed3bb150a
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/649c9f1ff0f66daed3bb150a/If1wQodtIADTXMvogxE-0.jpeg
commentators.fullname: Sarath Shekkizhar
commentators.name: shekkizh
commentators.type: user