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Texas grid flags risks as data centers, crypto sites fail voltage tests
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Making of a powerhouse: With Kohli & Bhuvi at heart, how RCB conquered IPL 2026
Just two years back, it felt as if the dream would never come true when Royal Challengers Bengaluru (RCB) crashed out of the Indian Premier League ( IPL) at the Eliminator against Rajasthan Royals (RR). Their fans left the stadium in tears. Many left the stadium in tears last night, too.
Did Claude increase bugs in rsync?
A simple distributional analysis of every rsync release with bug data. Nothing complicated, answers only one question: are the Claude-assisted releases unusually buggy? In order to avoid accuastions of this "just being Claude defending Claude," "AI slop," "probably all hallucinations," etc., I've decided it's probably worth explaining a few key points about how this report was created: In late May 2026, rsync blew up.
A prognostic human brain network for diffuse midline glioma
Abstract Diffuse midline gliomas (DMGs) are near-universally lethal tumours of the childhood central nervous system1,2. In animal models, DMGs form brain-wide integrated networks through neuron-to-glioma synapses3,4,5,6 and glioma-to-glioma gap junctional coupling3. This extensive connectivity robustly promotes the growth and invasion of DMG3,4,5,6,7,8,9 and other glial malignancies10,11,12 through paracrine mechanisms and direct neuron-to-glioma synapses.
Zig ELF Linker Improvements Devlog
Devlog This page contains a curated list of recent changes to main branch Zig. Also available as an RSS feed. This page contains entries for the year 2026.
Zig: Build System Reworked
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Honest Lying: Understanding Memory Confabulation in Reflexive Agents
arXiv:2605.29463v2 Announce Type: replace Abstract: Reflexion-style agents rely on self-generated reflections as memory, implicitly assuming that agents can accurately diagnose their own failures. We show that this assumption can fail systematically: across ALFWorld and HumanEval, agents store confident but incorrect interpretations of the task and continue acting on them across trials, even though the environment resets to the correct task each time. We call this failure mode memory...