Rubric 02
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The connecting tissue of research, technology and culture.
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Training Paths Decide AI Convention Preferences
A model trained on the same problems written under two incompatible conventions — both correct, neither privileged — ends up just as capable either way. What changes is which convention it commits to and a benchmark...
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When2Think AI Adaptive Reasoning Efficiency
A large reasoning model faces a simple arithmetic problem: 2 + 2. It generates a chain of thought spanning hundreds of tokens restating the problem, considering alternative interpretations, verifying its work, second...
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Language Models Lack True Memory Across Conversations
Most people watching AI systems fail ask the wrong question. They ask whether the model is smart enough. The more useful question is whether the model is doing what it appears to be doing. Those are not the same thing,...
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AI Agents Build Code But Miss Spec Details
Pei Yang and colleagues have described a benchmark called Zero2Repo in a paper on arXiv, submitted on 29 September 2026. 1] The setup is deliberately austere: an agent receives a product requirements document, an...
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When Forgetting Bounds Hold: Only Where R < a
Fine tuning a language model on new material is supposed to be the cheap path to specialization. You take a model that already knows a great deal, show it a narrow set of examples, and expect it to absorb the new skill...
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AI Masters Hidden Information in Stratego and Beyond
Result and a Shipped Tool A paper appears in Nature. It describes a system that defeated top ranked human players by a large margin. The result is real, measured, and reproducible. The distance between a laboratory win...
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General Factor in Language Models Lacks Support
A single number has organized how the field talks about progress: the general factor, the one score that supposedly captures how smart a model is across the board. A factor analysis of 13,251 published evaluation scores...
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AI agents trust wrong upstream messages over correct answers
Multi agent AI systems have quietly become infrastructure. The pattern shows up in enterprise search, in medical triage tools, in the pipelines that draft, check, and rewrite text before a human ever sees it. A first...
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Anthropic AI Finds Crispr Like Enzyme Untested
In a September 23 announcement, Anthropic claimed that its large language model Claude had identified an enzyme system with properties "reminiscent of Crispr," the Nobel Prize winning gene editing tool. 1] About 950...
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123 Rounds Reveal What Actually Stops Robot Self-Improvement
A robot is asked to put condiments on the top shelf of a fridge. It fails, round after round. An agentic system watches the failure, works out which capability is missing, writes a new skill or finds and installs an...
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When the Analogies Mislead: Reading Generative AI Through Its Own Framework
Scholars and policymakers reach for historical analogies when they describe generative AI: the printing press, steam power or electricity. Rida Qadri, Vinodkumar Prabhakaran and Remi Denton argue in a new paper that...
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When cheap AI probes predict costly training
A team has a frozen 3D CT encoder and a text generation task it was never explicitly trained for. Before committing GPU weeks to fine tuning, someone runs a probe: a small model trained on top of the encoder, cheap...
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