GPT-6 Astra can perform tasks at a PhD level or higher, correct its own errors, and has demonstrated cross-domain mastery in areas like art and music

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The independent nonprofit METR released an analysis finding that Anthropic is improving its AI models' capabilities around twice as fast as it was a year earlier, with AI help accounting for about 80% of the acceleration

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MIT CSAIL researchers Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab described weight-space programming

Rebranding AI as super intelligence misrepresents current technology capabilities

Mid-tier AI models are capable enough to replace premium frontier models for enterprise tasks

Automating AI research will trigger an intelligence explosion

AI is the most powerful technology created to date

AI is becoming more efficient at performing the individual tasks that constitute a job

Calibrated probabilistic decisions are more useful than discrete tool calls

System One Models can be made more reliable than slow reasoning models

Giving up text generation is a worthwhile trade for guaranteed structured output

GPT-6 Astra is AGI

The most powerful AI models with effective context management systems are advancing very quickly

If AGI were defined by proficiency in a single professional task, it would have existed for 30 years since Deep Blue defeated Garry Kasparov

Current AI agents can perform design, coding, writing, and project management, covering the main areas of white-collar jobs

AGI requires a theory of mind to approximate human intelligence

Criteria for AGI such as embodiment can be seen as arbitrary and philosophical rather than practical

If an AI model can perform various tasks separately, achieving generality is a matter of having a system to manage different contexts

Artificial general intelligence should be better than humans, or at least at a PhD level, across all tasks

Current AI systems possess only narrow intelligence limited to specific intellectual white-collar tasks

Synthetic data is sufficient for training enterprise-grade AI reasoning models