The Archive

YouTube is adding new features to generate ideas and monitor the performance of thumbnails.

ouTube’s new custom feeds let users describe the videos they want to see in their own words, then use Gemini to build a personalized feed around the request.

StrictlyVC joins TechCrunch Disrupt 2026 to discuss the changing VC landscape thanks to AI. Get your Investor Pass to join this exclusive session. Save $200 before September 25, 11:59 p.m. PT.

Part of the job of a content creator is to figure out how to get their work in front of the most people. Cracking - or fighting - the algorithm has historically been a frustration for creators, but YouTube is increasingly simply telling creators what they should do. At the annual creator-focused Made on YouTube event, the company announced updates to the suite of AI-powered creator tools it unveiled in 2025. In its initial iteration, the dashboard of creator tools included things like A/B testing for video thumbnails and a chatbot interface to query how content was performing. This year's upd...

Finite-sample probabilistic certification framework validates black-box AI safety for grid-edge device coordination in power systems.

LLM leaderboard margins may reflect hidden model selection; sensitivity analysis quantifies how many undisclosed variants sustain claimed advantages.

Modality imbalance in multimodal learning stems from asymmetric confidence gains during optimization, not modality fusion itself.

Fixed-budget revision protocol with deterministic verifiers reveals LLM closed-loop revision success ranges 17.4%-99.8% across 19 models under exact feedback.

EvEMTBench open benchmark standardizes ML evaluation for power system protection across 24 tasks, observability levels, and distribution shifts.

On-policy distillation as pre-RL stage improves final RL performance beyond initial accuracy gains, with effects not fully explained by Pass@k.

EdTech platforms defer privacy by design; audit of 48 platforms and 12 interviews reveal organizational patterns postponing privacy until post-launch.

Neural Process Boosting decomposes meta-learning into gradient-boosted fixed effects and NP random effects for improved task adaptation.

Gradient-based attention head attribution via Token-level Max-Margin loss enables causal analysis of 50 phenomena in context-aware machine translation.

Radical Numerics applies chain-of-thought reasoning and multimodal AI to biosecurity and genome design, addressing dual-use biodefense challenges.

OpenAI grants Ukraine government access to Daybreak program for civilian cyber defense infrastructure protection.

Spotify is rolling out Taste Profile to Premium users in the U.S., letting listeners see how the streamer understands their tastes and use natural language to reshape their recommendations

Flow Ensemble Filter uses conditional flow matching to improve data assimilation by transporting forecast ensembles beyond Gaussian assumptions.

SoLiD26 dataset: 15.4M first-principles atomic structures for training machine-learned interatomic potentials at solid-liquid interfaces.

Evaluates five open-weight 7B-8B LLMs on Turkish domain documents in resource-constrained settings using industrial and public-sector benchmarks.

Transformer KV caching architecture with shared global keys/values plus layer-specific local history reduces perplexity 1.4% vs. current-token baselines.

CASPER: Chain-of-Thought prompting framework for forensic interrogative dialogue summarization with MINDSum dataset of 6,000 annotated utterance pairs.

Heterogeneous graph memory architecture enables small LMs to execute tools reliably in stateful environments by learning from structural errors.

ARIA: Governance architecture for multi-agent AI in regulated finance addressing constitutional non-compositionality and collective disparate impact.

Task-induced Riemannian metrics improve Vision Transformer feature spaces by computing task-sensitive geometry via decoder Jacobian pullback.

PCQC: Privileged counterfactual credit assignment for medical dialogue RL, enabling question-level feedback for unexecuted dialogue alternatives.

Relative Discharge Stage (RDS) classifies battery remaining discharge into five interpretable states without requiring future-load forecasting.

Riemannian geometry approach to optimize block-diagonal structured matrices for efficient deep learning architectures.

Risk-control framework for KV-cache eviction in LLM inference to bound performance degradation per request.

Label-free encoder pruning method for Whisper ASR models achieving decoder compression without retraining.