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OpenAI has announced Astra for Law, which pairs legal search with specialized instructions. Its pass rate on US legal research questions rose to 54.0%. Here are the comparison conditions, the initial US-firm rollout, and how data handling differs between the API and ChatGPT Enterprise.
The iPhone 18 Pro Max sustained 5.9W under continuous load and measured 44.3°C, 0.9°C cooler than its predecessor. We examine what A20 Pro's design changes and its 3x larger vapor chamber reveal about this evolution, and the limits worth noting when comparing it to Android gaming phones.
Google's Android Bench 2.0 introduces long-horizon tasks of up to 8,200 lines and near-real-device verification. Even the top performer's 28.0% pass rate versus 82.2% weighted completion rate reveals the wall AI coding hits when it comes to fully finishing the work.
NVIDIA, Google and Emerald AI have formed the AI Energy Management Alliance (AEMA). We weigh small-scale pilots, a 155,410-GPU operating study and FERC's reforms to ask what it takes to turn AI data center load reduction into a contractable power product.
A close look at NVIDIA's CUDA-Q Logical based on its papers and official documentation. Examining what the P0–P4 stages, the four-tier resource estimates, QUOPS, and the 150,000-qubit figure mean—and where their limits lie.
GPT-6 Astra reportedly reached Pokémon champion in 18 hours 12 minutes, but stalled in Minecraft after losing supplies. Operator reports and ARC Prize's evaluation show why test conditions, memory handling, and recovery after failure matter.
OpenAI has published a new framework for reporting model misalignment along with six case studies. Drawing on primary sources, this article examines how summarization, evaluators, credentials, and shared infrastructure each opened distinct failure pathways—and where the limits of this internally driven disclosure system lie.
Maynooth University has demonstrated a DNA computer designed so that the structure encoding the correct answer is the most stable one. Experimental conditions in the Nature paper show what the 30-second run, the 100-bit figure and up to 25 reuses actually mean.
Researchers at Zhejiang University, Tsinghua University and others ran proof operations for a square theorem and a 1978 International Mathematical Olympiad problem on a superconducting quantum circuit. We trace how the work was split with classical computing, what the experiment shows, and what remains unproven about quantum advantage.
OpenAI's Codex developer warns against running three or more parallel sub-agents. Meanwhile, Nous Research's large-scale refactor using 1,393 agents produced real results. We examine when the coordination tax grows and how to judge whether parallelization is worth it.
