Apr 14 · 14 min read · In February 2026, Brazilian philosopher Mariana Lins Costa published The Ghost in the Grammar: Methodological Anthropomorphism in AI Safety Evaluations (arXiv:2603.13255). With surgical precision, she
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Jan 19 · 11 min read · The Central Claim “Reasoning models generate societies of thought.” This headline from Google and the University of Chicago (Kim et al., arXiv:2601.10825) represents a fundamental misunderstanding of how transformers work. The researchers claim DeepS...
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Dec 20, 2025 · 26 min read · In the sterile corridors of AI research labs across Silicon Valley and beyond, a peculiar consensus has emerged. For the first time in the field's contentious history, researchers from OpenAI, Google DeepMind, and Anthropic (companies that typically ...
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Dec 11, 2025 · 4 min read · We are in the grip of a profound, persistent, and expensive misconception. It distorts public discourse, misguides regulators, and leads even experts to make category errors with billion-dollar consequences. The mistake is this: we persistently confu...
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Apr 20, 2025 · 5 min read · In our relentless pursuit of artificial intelligence that can match or exceed human capabilities, we may be overlooking fundamental questions about the nature of understanding itself. Recent research into Large Language Models (LLMs) has revealed fas...
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Mar 25, 2025 · 7 min read · In the rapidly evolving landscape of artificial intelligence, interpretability has become something of a holy grail. Researchers at leading AI labs, such as OpenAI (e.g., Bills et al., 2023; Wu et al., 2023) and Anthropic (e.g., Bricken et al., 2023;...
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