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17770 articles total
The 80% Problem: The Last 20% Is Where the Engineer Used to Live
A community discussion on Hacker News exploring the shift in engineering where the 'final 20%' of a project's complexity is increasingly handled by automated tools rather than manual engineering effort.
Alternatives to Nested If Function
A technical discussion regarding alternatives to using deeply nested IF functions in spreadsheets or code to improve readability and maintainability.
Watch out, Amazon: the Kobo eReader now has a Goodreads rival
Kobo eReaders now integrate with StoryGraph, providing users an alternative to Amazon's Goodreads for tracking reading progress and statistics.
Sony’s next-gen PlayStation will go ‘beyond the living room’
Sony suggests that the next-generation PlayStation will move beyond the living room, hinting at a new handheld or more portable gaming experiences.
OpenAI is teasing new hardware… for Codex
OpenAI is collaborating with Work Louder to release a hardware device featuring shortcuts for Codex to streamline AI-powered coding workflows.
Google warns EU's plans to weaken its monopoly could expose user data
Google argues that EU mandates to share search data with competitors to curb its monopoly could compromise user privacy.
Quantum computing startup says it will leapfrog everybody
A quantum computing startup claims it will surpass competitors, though the goal requires a significant leap in existing hardware capabilities.
Kalshi sues Illinois over new tax on prediction market sports bets
Prediction market platform Kalshi is suing the state of Illinois over a new tax imposed on sports-based prediction market bets.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
Researchers introduce AgentPSO, a framework that uses particle swarm optimization to evolve reasoning skills in multi-agent LLM systems without updating model parameters.
Distilling Answer-Set Programming Rules from LLMs for Neurosymbolic Visual Question Answering
A new approach for neurosymbolic Visual Question Answering (VQA) that distills Answer-Set Programming (ASP) rules from LLMs to improve interpretability and adaptability.
Waymo and Uber quietly part ways in Phoenix
Waymo and Uber have ended their three-year partnership in Phoenix, Arizona.
Chronic Kidney Disease Prognosis Prediction Using Transformer
Researchers introduced ProQ-BERT, a transformer-based framework for predicting Chronic Kidney Disease progression using multi-modal electronic health records.
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
The SMFA framework and S-MLLMUn Bench are proposed to enable selective unlearning of privacy-sensitive information in multimodal LLMs without degrading general capabilities.
Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
Health-ORSC-Bench is a new large-scale benchmark to measure over-refusal and safe completion quality of LLMs in healthcare contexts.
GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models
The GAIA system introduces a data flywheel to train intuitive critic models that improve the test-time scaling performance of GUI agents.
Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs
The JustAsk framework demonstrates that autonomous code agents can be used to systematically recover hidden system prompts from frontier LLMs.
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching
CausalFlip is a new benchmark designed to test whether LLMs are performing true causal reasoning or merely relying on semantic matching.
Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning
COffeE-PSRO is introduced as a conservative equilibrium discovery method for offline game-theoretic multiagent reinforcement learning.
SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms
SEATS is a self-evolving agent framework that autonomously generates and optimizes code for time series forecasting algorithms.
Algorithms for Deciding the Safety of States in Fully Observable Non-deterministic Problems: Technical Report
A new policy-iteration algorithm, iPI, is presented to decide the safety of states in non-deterministic problems with guaranteed polynomial worst-case runtime.