Latest article Models and capabilities
Why AI seems to improve suddenly at some tasks
A steadily growing underlying capability, tasks that chain many steps and labs that train what they can verify: why AI advances in jumps on specific tasks.
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Models and capabilities
What AI models can do, how that is measured and why they sometimes seem to improve all at once.
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Models and capabilities
From completing a sentence to taking on a job: what we expect from AI
The tests highlighted in the launches of GPT-2, GPT-4, o1 and Grok show how our expectations of their capabilities have evolved.
Models and capabilities
From the pelican to Blender: a history of AI told through its absurd tests
Cycling pelicans, balls inside a hexagon and Blender scenes: viral tests show how expectations of AI have risen and what we can infer from its demos.
Models and capabilities
Local AI is no longer a toy. It is not ChatGPT without the cloud, either
What local inference can contribute to a process involving sensitive data, its real limits, and what it takes to operate it in production.