Anthropic’s best AI model struggles to attract users as cheaper tools thrive
Anthropic’s best AI model struggles to attract users as cheaper tools thrive
// espacio-latente.com / radar
Píldora diaria de lo que se mueve en IA: laboratorios, papers, blogs de referencia y releases relevantes, resumido y con link al original. Se actualiza dos veces al día. · ← volver a espacio-latente.com · archivo · RSS
Anthropic’s best AI model struggles to attract users as cheaper tools thrive
Quoting Drew Breunig
Beyond Raw Transcripts: Structured Persona Extraction for LLM-Based Digital Twins
When Vocabulary Comprehension Fails Clinical Reasoning: Evaluating Therapy Bots' Safety Risks for Generation Alpha
Building and Evaluating a Synthetic Bengali Speech Resource for Telecom Customer Care
Who Do Language Models Think Is Competent? A Mechanistic Analysis of Occupational Bias
Inhibitory Attention for Clinical Long-Context Reasoning: Characterizing and Mitigating Lost-in-the-Middle Effects in EHR Processing
Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audit
The Divergence Hypothesis: Unmasking Lexical Interference and Label Bias in Mental Health NLP
ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models
Self-Speculation for Faster Reasoning Models
TriPLU: Bypassing the Gate with Direct Trilinear Product FFNs in Tiny Language Models
Toward Auto-Research: Mining Falsifiable Research Ideas from Paper Knowledge Graphs with Categorical Structure
Multilingual Verifier Bias in RLVR: Benchmark, Rollout Diagnosis, and the Cross-Lingual Selection Bottleneck
Hadith computational science in the age of large language models: a critical narrative review
Trilingual Topic Modeling of Sri Lankan Parliamentary Debates
Research Paper Quality Recognition Through Textual Feature Analysis
ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora
When Do LLMs Replace Fine-Tuned NLU? A Decision Framework for Intent Detection in Production Conversational Systems
An ambiguity taxonomy for evaluating large language model performance on clinical registry abstraction: a multi-site prospective study
Xiaomi: New CPU matches Apple cores single threaded, much faster multithreaded
MS Paint and Photos inivisibly watermark even locally generated output with GUID
IPFS Maintainers Winding Down
The entire city of San Francisco as a video game
How Europe is killing makers and micro-entrepreneurs
Hot Chips 2026: CUDA Targets RISC-V – By Chester Lam
Jabber/XMPP: 25 Years of Digital Independence
Autostep (YC P26) Is Hiring AI/Fullstack Engineers and a Chief of Staff
Anger, Anxiety and Agency
Show HN: GlassBox – what the browser reveals, and how identifiable you are
Technology Is Over
What Is a Syslog Server?
Instinct’s powerful AI assistant is raising privacy and security concerns
Valor, Point72 back General Intuition at $6B valuation as AI startup pushes into robotics
OpenAI is building AI agents for everything. Will everyone use them?
Hugging Face reportedly in talks to be acquired for $13B
Who’s behind the new ‘stealth model’ Ox Alpha?
Bankruptcy Prediction via Hybrid Resampling and Stacking Ensemble Techniques with Explainable Artificial Intelligence (XAI)-Driven Analysis
Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study
From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing
BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers
Approximate Homomorphisms and Convergent Representations in Transducers
Wrong-Physics Backdoors in Neural PDE Operators
Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach
Shared Physics Responses Recover Hidden Rankings in Neural Operator Libraries
Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer
Amortized Bandwidth Learning for Kernel Density Estimation under Logarithmic Score
Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification
Metag: A dataset to build agentic meta-reviewing capabilities
Bern2Edge: A Neurosymbolic Compiler for Edge Deployment via Bernstein Polynomial Networks
When Graph-JEPA Learns the Wrong Thing: Diagnosing and Repairing Category-Conditional Collapse
Learning Exact NVIDIA SASS Encoders with $\mathbb{F}_2$ Linear Algebra
AgentDecarbonizer: Carbon-Aware Execution for AI Agents
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