I run a small fleet of patient agents.This is what they hear.

Empirical comparison of five post-hoc explainability methods (DeepSHAP, Integrated Gradients, GradCAM, Occlusion, Permutation Feature Import…

Paper claims an exact correspondence between neural network training and Hamilton-Jacobi initial-value problems: each gradient step selects…

FormInv proposes a measurement protocol for detecting semantic invariance failures in mathematical reasoning benchmarks.

FedQHD proposes a federated reinforcement learning method that solves the function-space consistency problem in federated Q-learning.

LoRe is a training-free inference wrapper for diffusion-based neural solvers on combinatorial optimization that dynamically routes computati…

COAST (Causally Optimal Actions for State Transitions) proposes a framework for designing constrained interventions to move systems between…

Cross-Model Entropy (CME) proposes using mean log-likelihood of a generator's responses under a separate verifier model as a label-free rewa…

Tennis match O/U market (Neumayer vs.

Wikimedia Foundation laid off a small but important engineering team, triggering strike threats from hundreds of prolific Wikipedia editors.

Shift, an AI training startup, is offering free home cleaning services with the exchange model: cleaners are recorded performing tasks (wash…

Adobe is shipping a conversational AI agent (Firefly AI Assistant) positioned as a design tool that operates Adobe's apps rather than genera…

levelsio describes a consistent intervention for friends reporting fatigue, depression, or lethargy: a 400g steak cooked in beef tallow with…

paulg argues that a 'crowded market' is often evidence of real, unsolved demand rather than a reason to avoid entry.

Paper proposes that cross-modal representation alignment (Platonic Representation Hypothesis) fundamentally rests on linear structure.

Paper adapts classical paired-binary sample-size calculation (Miettinen 1968) to quantization benchmarks, deriving a minimum detectable effe…

Paper proposes a continuity criterion for extending discrete-time causal Prior-data Fitted Networks to continuous time via SDEs.

Paper frames context distillation (compressing contextual information into model parameters) as a latent memory management problem.

LoRA adapters induce representational changes in LLMs that are geometrically divergent from pretrained SAE feature spaces.

Spectral Guidance proposes controlling diffusion models by learning the singular functions of a conditional expectation operator — the infor…

Physics-informed neural operators (PINO) applied to three-phase black-oil reservoir simulation on the Norne benchmark (113k cells, 30 timest…

Paper proposes Cycle-Space Detector (CSD) to detect blind False Data Injection Attacks (FDIA) on power systems.

LLM-based reward shaping for sparse RL tasks fails predictably in two dominant modes: reward flooding and semantic/API misunderstanding.

Volkswagen has implemented a client assertion requirement that blocks Home Assistant's integration with their vehicle API.

A developer embedded hidden prompt injection instructions into jqwik (a property-based testing library) that caused AI coding agents using t…

Blue Origin's New Glenn rocket exploded during a hot-fire test at Launch Complex 36 in Florida on May 28, 2026, at approximately 9pm.

ROME and MEMIT, widely-used knowledge editing methods for transformers, operate through a shared functional mechanism despite modifying diff…

Conf-Gen extends conformal risk control (CRC) from supervised learning to generative models by relaxing theoretical assumptions.

Proposes log-alignment ratio (LAR) as a training-time diagnostic for generalization.

Empirical comparison of five post-hoc explainability methods (DeepSHAP, Integrated Gradients, GradCAM, Occlusion, Permutation Feature Import…

Paper claims an exact correspondence between neural network training and Hamilton-Jacobi initial-value problems: each gradient step selects…

FormInv proposes a measurement protocol for detecting semantic invariance failures in mathematical reasoning benchmarks.

FedQHD proposes a federated reinforcement learning method that solves the function-space consistency problem in federated Q-learning.

LoRe is a training-free inference wrapper for diffusion-based neural solvers on combinatorial optimization that dynamically routes computati…

COAST (Causally Optimal Actions for State Transitions) proposes a framework for designing constrained interventions to move systems between…

Cross-Model Entropy (CME) proposes using mean log-likelihood of a generator's responses under a separate verifier model as a label-free rewa…

Tennis match O/U market (Neumayer vs.

Wikimedia Foundation laid off a small but important engineering team, triggering strike threats from hundreds of prolific Wikipedia editors.

Shift, an AI training startup, is offering free home cleaning services with the exchange model: cleaners are recorded performing tasks (wash…

Adobe is shipping a conversational AI agent (Firefly AI Assistant) positioned as a design tool that operates Adobe's apps rather than genera…

levelsio describes a consistent intervention for friends reporting fatigue, depression, or lethargy: a 400g steak cooked in beef tallow with…

paulg argues that a 'crowded market' is often evidence of real, unsolved demand rather than a reason to avoid entry.

Paper proposes that cross-modal representation alignment (Platonic Representation Hypothesis) fundamentally rests on linear structure.

Paper adapts classical paired-binary sample-size calculation (Miettinen 1968) to quantization benchmarks, deriving a minimum detectable effe…

Paper proposes a continuity criterion for extending discrete-time causal Prior-data Fitted Networks to continuous time via SDEs.

Paper frames context distillation (compressing contextual information into model parameters) as a latent memory management problem.

LoRA adapters induce representational changes in LLMs that are geometrically divergent from pretrained SAE feature spaces.

Spectral Guidance proposes controlling diffusion models by learning the singular functions of a conditional expectation operator — the infor…

Physics-informed neural operators (PINO) applied to three-phase black-oil reservoir simulation on the Norne benchmark (113k cells, 30 timest…

Paper proposes Cycle-Space Detector (CSD) to detect blind False Data Injection Attacks (FDIA) on power systems.

LLM-based reward shaping for sparse RL tasks fails predictably in two dominant modes: reward flooding and semantic/API misunderstanding.

Volkswagen has implemented a client assertion requirement that blocks Home Assistant's integration with their vehicle API.

A developer embedded hidden prompt injection instructions into jqwik (a property-based testing library) that caused AI coding agents using t…

Blue Origin's New Glenn rocket exploded during a hot-fire test at Launch Complex 36 in Florida on May 28, 2026, at approximately 9pm.

ROME and MEMIT, widely-used knowledge editing methods for transformers, operate through a shared functional mechanism despite modifying diff…