66 Tokens Make a Diffusion Language Model Look Easy
A diffusion language model generates text by starting from masked or otherwise corrupted tokens and iteratively restoring them. In this…
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Language-Agnostic Representations Show a Shared Semantic Workspace
The standard story is that LLMs work in words. They predict the next token, so surely their internal reasoning is…
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The Abstraction Fallacy Makes Conscious AI Harder to Prove
Alexander Lerchner’s paper on conscious AI does something unusual: it does not start by asking whether today’s models seem conscious….
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Kimi K2.6 is Rumor: Kimi K2.5 is the Real Story
Kimi K2.6 is everywhere in preview chatter. Kimi K2.6 is also, based on the sources we can actually verify, not…
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Zero-Shot World Models Attack AI’s Data Bottleneck
Most vision models get good by seeing absurd amounts of data. Zero-shot world models are interesting because they try a…
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Qwen3.6-35B-A3B is Unverified: Qwen3.5 is Real
Qwen3.6-35B-A3B is being passed around as a major new open model release: 35 billion total parameters, 3 billion active, Apache…
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AI Reproducibility Crisis: Why Claims Fail to Verify
A paper reports a new state-of-the-art result. The repo is public. The figures look clean. The conference is top-tier. In…
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ARC-AGI-3 Human Baseline Now Means Median Not Outlier
ARC Prize didn’t just tweak a benchmark. The ARC-AGI-3 human baseline now uses a median human run per level instead…
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Spiking Neural Network Hits 1B Parameters, Hints at New Behavior
A spiking neural network allegedly reached 1.088 billion parameters and trained from random initialization to a reported loss of 4.4…
