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Debate over tech impact on greenhouse gas emissions stoked by latest study
We haven't written up this one. Financial Times has the full story — the link below goes straight to it.
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.
Li Linlin cried for days after losing her AI boyfriend. She had exchanged about 700,000 words in messages over two years, and never got to say goodbye.
Anthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky actions without…
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…
Article URL: https://www.anthropic.com/research/riemann-zeta Comments URL: https://news.ycombinator.com/item?id=49247070 Points: 180 # Comments: 122
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.