Sublime
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Inductive reasoning seeks to generalise from observations, and may be supported or refuted by subsequent experience.
Mervyn King • Radical Uncertainty
OpenAI Strawberry (o1) is out! We are finally seeing the paradigm of inference-time scaling popularized and deployed in production. As Sutton said in the Bitter Lesson, there're only 2 techniques that scale indefinitely with compute: learning & search. It's time to shift focus to the latter.
1. You don't need a huge... See more
Introducing OpenReasoningEngine, an open-source test-time-compute engine that can be used with any OpenAI-compatible model.
Image input, function calling, basic continual learning, + more.
This is an early experiment — there are issues that will need to be ironed... See more
Matt Shumerx.comAll mathematics exhibits in its conclusions only what is already implicit in its premises,
Herbert A. Simon • The Sciences of the Artificial
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.
It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task in compute ) and 87.5% in high-compute... See more
Claude Deep Research
Prompt: Write a comprehensive report on approaches to solve the ARC-AGI challenge. Do extensive planning, web search, file downloads etc. as needed to assist in your research. Your final output should be a single file https://t.co/dTIck2DPRn which contains thorough citations + code snippets, and a... See more
will brownx.comProbabilistic: Conclusions drawn from inductive reasoning have a degree of probability. They are likely but not guaranteed. Open to Revision: As new information or observations come to light, conclusions derived from inductive reasoning can be revised. Empirical: It heavily relies on real-world data, observations, and experiences.