Scientists created an exam so broad, challenging and deeply rooted in expert human knowledge that current AI systems consistently fail it. “Humanity’s Last Exam” introduces 2,500 questions spanning mathematics, humanities, natural sciences, ancient languages and highly specialized subfields.
The government reportedly agreed to those terms, according to the New York Times, but the contract's legal language provided too much wiggle room for Anthropic’s comfort. Anthropic is known for taking a more cautious approach to AI development, and its founders famously left OpenAI over AI safety concerns.
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The gains illustrate how fundamental design choices compound: batching amortizes async overhead, pull semantics eliminate intermediate buffering, and the freedom for implementations to use synchronous fast paths when data is available immediately all contribute.