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Artwork for Generative AI 101
Generative AI 101 · September 8 · 15 min

GPT-6 or Astra

GPT-6 Astra scored 99.9 percent on ARC-AGI-3. It also scored 62.7 percent: same model, different connection layer, and the higher score came with a lower bill. In this episode, host Emily Laird separates the model from the machinery around it, covering what OSWorld and AutomationBench actually measure, why 41 percent workflow completion is real progress and nowhere near autonomy, and what it means that OpenAI's first Critical cybersecurity model is also the one whose reasoning is harder to audit. The company that wins agentic AI may not be the one with the smartest model, but the one that builds the best system around it. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird

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GPT-6 Astra scored 99.9 percent on ARC-AGI-3. It also scored 62.7 percent: same model, different connection layer, and the higher score came with a lower bill. In this episode, host Emily Laird separates the model from the machinery around it, covering what OSWorld and AutomationBench actually measure, why 41 percent workflow completion is real progress and nowhere near autonomy, and what it means that OpenAI's first Critical cybersecurity model is also the one whose reasoning is harder to audit. The company that wins agentic AI may not be the one with the smartest model, but the one that builds the best system around it.

 

🎯 JOIN THE AI WEEKLY MEETUPS

https://www.uwstout.edu/ai-weekly-meetup

 

📩 EMAIL REMINDERS FOR THE MEETUPS

https://app.e2ma.net/app2/audience/signup/2101263/1779703/

 

💬 CONNECT WITH EMILY LAIRD ON LINKEDIN

http://www.linkedin.com/in/meet-emily-laird

     
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