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Blue Cross: AI Coding Adds $942M to Hospital Bills

Blue Cross: AI Coding Adds $942M to Hospital Bills

A Blue Cross Blue Shield Association analysis of claims covering a third of Americans found hospitals' AI coding tools added $942 million in costs over two years with no matching change in patient care.

Anthropic Founders Seek 50.1% Votes on 2% Stakes

Anthropic Founders Seek 50.1% Votes on 2% Stakes

Anthropic's seven co-founders want permanent majority voting control before the IPO, while owning about 2% of the company each - a structure that puts them at odds with the Trust, labor investors, and index funds.

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Guides

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Reviews

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GPT-6 Astra Review: Genius Benchmarks, Thin Trust

GPT-6 Astra Review: Genius Benchmarks, Thin Trust

OpenAI's most capable model yet tops cybersecurity and agentic benchmarks, but a rocky rollout, user complaints of degraded output, and its own system card's warnings about hidden reasoning complicate the launch.

Leaderboards

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Models

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GPT-6 Astra

GPT-6 Astra

OpenAI's frontier GPT-6 Astra tops FrontierMath, ARC-AGI-3, and ExploitBench, but it's the first OpenAI model to cross the Critical cybersecurity threshold with a documented drop in chain-of-thought monitorability.

Bonsai 1.7B

Bonsai 1.7B

PrismML's smallest Bonsai checkpoint compresses Qwen3-1.7B under 0.5GB, and now powers the vision-language model behind Qualcomm's Snapdragon AR1 smart glasses demo.

GPT-5 mini

GPT-5 mini

OpenAI's original cost-efficient GPT-5 variant pairs a 400K context window with $0.25/$2.00 per million token pricing, still doing quiet duty as a cheap backbone for research agents a year after launch.

Recent

SU-01

SU-01

SU-01 is a 30B-A3B MoE reasoning model from Shanghai AI Lab that achieves gold-medal performance on IMO 2025, USAMO 2026, and IPhO 2024/2025 using a three-stage training recipe and test-time scaling.

HiDream-O1-Image

HiDream-O1-Image

HiDream-O1-Image is an 8B open-source text-to-image model with a pixel-space diffusion architecture that outperforms 32B FLUX.2 [dev] across five major benchmarks.

SubQ

SubQ

SubQ is the first LLM built on a fully subquadratic attention architecture, achieving a 12M-token research context and 52x faster inference than FlashAttention at 1M tokens.