Autoencoders vs. PCA: I Rigged the Test and PCA Still Won
A theoretical advantage that didn't survive contact with a real benchmark. The post Autoencoders vs. PCA: I Rigged the Test and PCA Still Won appeared first on Towards Data Science.
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AI Research
Can an Apartment Search Agent Call the Model Fewer Times and Still Find Good Matches?
I traced 2,500 listing checks with Weights & Biases Weave, removed avoidable model work one change at a time, and scored every version against the same answers. The post Can an Apartment Search Agent Call the Model…
What the ReLU Revolution Revealed About Biological Plausibility
The activation function was never a fixed biological commitment but a working hypothesis revised under empirical pressure. The post What the ReLU Revolution Revealed About Biological Plausibility appeared first on…
AI in Science, Math: A Monthly Guide to AI-Enabled Progress — September 2026
From genome research and laboratory-tested molecules to mathematical proofs and open scientific datasets, September brought a wide range of AI-enabled progress. This monthly guide covers 56 developments and explains…
a16z State of Markets 2026: AI Became a Capital Cycle
a16z’s 90-page State of Markets report argues AI has escaped the software industry and become a macroeconomic force, reshaping capital spending, debt, labor, power, hardware, and markets.
Your AI Bill Is a Toll Booth. Stop Paying Twice.
The budget nobody saw coming The post Your AI Bill Is a Toll Booth. Stop Paying Twice. appeared first on Towards Data Science.
China Is Regulating How AI Companions Build Emotional Attachment
China is setting rules for how AI companions develop emotional relationships and respond when users try to leave. The requirements address manipulation and risks to minors, while distress monitoring raises questions…
😸 Trump renamed AI "Super Intelligence"
Modal Logic Neural Networks
arXiv:2512.03491v4 Announce Type: replace Abstract: Neural Networks are indispensable to natural sciences and society. Their impact extends from applications in public health to workforce productivity. Here, we…
Normalize-Then-Precondition: A Hierarchical Approach to Marginal Scale and Interaction Geometry for LLM Training
arXiv:2609.36692v1 Announce Type: new Abstract: Matrix optimizers have emerged as a promising direction, with Muon standing out as a prominent design. Revisiting Muon through its full-Gram representation, we observe…
When Can Prefixes Compile LoRA? Exact Resource-Capped Tests for Frozen Attention
arXiv:2609.36766v1 Announce Type: new Abstract: Can a fixed continuous prefix replace a given low-rank adapter while the attention head stays frozen? In this research, we show that the answer depends on the adapter's…
Why Backdooring Neural Networks is so Easy?
arXiv:2609.36117v1 Announce Type: new Abstract: Securing modern AI systems against backdoor attacks remains an open challenge and requires fundamentally principled estimates of the adversary's budget -- the poison…
Normative Loss Landscape Navigation: A Trajectory-Based Approach to Mitigating Forgetting in Incremental Learning
arXiv:2609.35926v1 Announce Type: new Abstract: Continual learning models suffer from catastrophic forgetting when trained sequentially on non-stationary data distributions. Previously, this has been addressed through…
Your Benchmark Is Not Saturated: Reviving Multiple-Choice Evaluation with Answer Pooling
arXiv:2609.37494v1 Announce Type: cross Abstract: Multiple-choice benchmarks are cheap to grade and are running out of room, and the standard remedy, writing harder items, is slow and repeated for every benchmark. A…
Learning Social Navigation from Internet Videos in the Policy State Space
arXiv:2609.37476v1 Announce Type: cross Abstract: Training robust social-navigation policies requires simulators with diverse scene layouts, terrain, and human motion, but constructing such environments and specifying…
Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study
arXiv:2609.37848v1 Announce Type: cross Abstract: Biomedical machine learning papers often compress model performance into one headline number. That number can look like a property of the model even when it depends…
Abductive World Modeling via Causal Representation Learning
arXiv:2609.36985v1 Announce Type: new Abstract: The central challenge of world modeling is to learn representations that capture how the world evolves. However, existing world models predominantly represent future…
Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics
arXiv:2609.37708v1 Announce Type: cross Abstract: Human social behaviour is not a collection of independent motions, but a jointly organised process in which group dynamics and individual variation continuously shape…
Beam Search as Test-Time Self-Distillation via Counterfactual Contexts
arXiv:2609.37041v1 Announce Type: new Abstract: Self-Distillation Fine-Tuning (SDFT) enables a language model to act as its own teacher: by conditioning on a demonstration, the model produces an implicit reward via…
One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models
arXiv:2609.36101v1 Announce Type: cross Abstract: Contrastive vision-language models learn shared embedding spaces by aligning matched image-text pairs, yet their representations remain separated by a modality gap.…
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