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Article URL: https://www.anthropic.com/research/riemann-zeta Comments URL: https://news.ycombinator.com/item?id=49247070 Points: 180 # Comments: 122
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We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs presented at inference time continuously update the model's recurrent memory; the model…
Debate over tech impact on greenhouse gas emissions stoked by latest study
The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that manages context, memory, tools, permissions, and runtime control.
Thinking Mode Fusion (TMF) enables large language models to support both concise responses and long-form reasoning by unifying a non-thinking mode and a thinking mode within a single model.
Progressive US senator urges Meta, OpenAI and Anthropic to ‘stop building machines that humans cannot control’ Senator Bernie Sanders has called on Meta, OpenAI and Anthropic executives to halt their…
Progressive US senator urges Meta, OpenAI and Anthropic to ‘stop building machines that humans cannot control’ Senator Bernie Sanders has called on Meta, OpenAI and Anthropic executives to halt their…