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17909 articles total
PostgreSQL Is Enough
A community discussion on Hacker News arguing that PostgreSQL is sufficient for most application needs, potentially reducing the need for specialized databases.
Show HN: Wordit – Change One Letter, Keep the Chain Going
A presentation of Wordit, a word-chain game where players change one letter at a time to keep the chain going.
Former Infosys chief has a new startup that wants to challenge the IT services world
Former Infosys chief Vishal Sikka has launched a new IT services startup backed by Mayfield and Aramco Ventures.
Hotly anticipated Grand Theft Auto VI will cost more than other AAA games
Reports suggest that Grand Theft Auto VI will be priced higher than typical AAA game titles.
OpenAI and Broadcom announce chip designed for LLM inference at scale
OpenAI and Broadcom have collaborated to design a custom chip specifically optimized for large language model (LLM) inference at scale.
13 years and $500 million for a stage adapter? Report justifies NASA cancellations.
A report justifies NASA's decision to cancel a stage adapter project after costs ballooned to $5.9 billion over 13 years.
US ends hantavirus outbreak response with no answers on draconian quarantines
The US has ended its response to a hantavirus outbreak, with lingering questions regarding the justification for strict quarantines.
Female-RHINO: A Real-Time Scanner-Integrated Framework for Automated Quantitative Uterine MRI Analysis and Structured Reporting
Female-RHINO is a real-time AI framework integrated with MRI scanners for automated quantitative uterine analysis and structured reporting.
Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders
Research demonstrating that no single BCI decoding pipeline is universally optimal for EEG motor-imagery, emphasizing the need for participant-aware model selection.
Entity Resolution via Batched Oracle Queries
A study presenting an optimal approach to entity resolution using batched oracle queries to maximize recall while controlling costs.
Elon suffers another day short of trillionaire status
Elon Musk's net worth fluctuates, leaving him just short of becoming a trillionaire.
Your enterprise AI agents should automatically remember which model is right for which task. Mindstone built the capability with Rebel
Mindstone launches Rebel, a local-first AI agent OS that uses markdown files for memory and allows dynamic model routing between local and cloud LLMs.
Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries
Researchers propose a neural network-based model reduction method using variational autoencoders to efficiently predict turbulent flow for vehicle geometries.
Pigeonholing: Bad prompts hurt models to collapse and make mistakes
The 'pigeonholing' phenomenon describes how bad prompts or incorrect conversation history cause LLMs to collapse and repeat mistakes; RLVR with synthetic errors is proposed as a mitigation.
CALIBER: Calibrating Confidence Before and After Reasoning in Language Models
CALIBER is a new protocol for calibrating LLM confidence both before and after reasoning to reduce Expected Calibration Error.
Real-Time Interactive Music Generation via Data-Free Streaming Consistency Distillation
A new framework for real-time interactive music generation using data-free streaming consistency distillation to reduce inference latency for live performances.
ZONOS2 Technical Report
ZONOS2 8B is a new TTS model using a MoE backbone and a massive 6M hour dataset, released under Apache 2.0.
What Does ODRL Mean? A Cross-Level Ontological Grounding of Permissions, Prohibitions, and Duties in UFO-L
A study on grounding ODRL policy evaluators in UFO-L to better represent legal positions and authority structures, verified via Isabelle/HOL.
Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs
Structural Kolmogorov-Arnold Convolutions (RF-KAN) are introduced as a parameter-efficient alternative to per-edge Convolutional KANs for image recognition.
On the Stability of Prompt Ranking in Large Language Model Evaluation
Research shows that prompt rankings in LLM evaluation are often unstable across different seeds and subsets, proposing a stability-aware selection strategy.