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15889 articles total
The AI Demand Bubble
A discussion on Hacker News regarding the potential existence of an economic bubble driven by AI demand.
Waymo opens up robotaxi service in Dallas to everyone
Waymo has expanded its robotaxi service in Dallas by removing the waitlist for all users.
Take an extra $100 off your TechCrunch Disrupt 2026 pass: This week only!
TechCrunch is offering a limited-time $100 discount on passes for the Disrupt 2026 event.
Lenovo’s Legion Go S with SteamOS is down to its lowest price ever
The Lenovo Legion Go S handheld with SteamOS has reached a new record-low price of $635.54.
‘Not healthy’ LLM use is more common than you think
Creator Hank Green discusses the ethical and mental health challenges of using AI for research in authenticity-driven content creation.
BMW’s in-car Spider-Man ad is villain behavior
BMW is facing criticism for displaying banner ads for Spider-Man movies directly on vehicle dashboards.
AI coding agents are blowing through budgets — Replit, Kilo Code, and Symbotic explain how they're managing it
Engineering leaders from Replit, Kilo Code, and Symbotic discuss managing the high costs and workflows of deploying AI coding agents.
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning
ReSum is a new RLVR framework that uses self-summarization to compress reasoning trajectories in LLMs, reducing length while improving performance.
Deconstructing Off-Policy Ratios: Entropy-Scaled Trust Regions for Asynchronous Reinforcement Learning
ESTR is proposed to stabilize asynchronous RL in LLMs by scaling off-policy deviations by local token entropy to prevent policy collapse.
From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement
RLSVR introduces a way to extend verifiable rewards to open-ended tasks via task transformation, exemplified by the SpyRL method.
Truemetrics (YC S23) Is Hiring in Berlin – GTM Lead
Truemetrics, a YC S23 startup, is hiring for a GTM Lead position in Berlin.
Webb telescope finds signs of ancient disaster for Neptune's moons
The James Webb Space Telescope has discovered evidence of an ancient disaster affecting the moons of Neptune.
TV Time co-founder launches Bingers to revive the beloved TV tracking app
A co-founder of TV Time is launching Bingers, a new TV and movie tracking app intended to revive the social features of its predecessor.
PEMAND: Persona-Enriched Multi-Agent Negotiation for Household Decision-Making
PEMAND is a novel LLM-based framework that uses persona-enriched multi-agent negotiation to model household-level decision-making.
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
SREGym is a high-fidelity, open-source benchmark for AI SRE agents, simulating complex real-world cloud-native failure scenarios.
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling
The Dual-Dimensional Consistency (DDC) framework balances sampling budget and reasoning quality in LLM inference-time scaling to reduce token use.
PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization
PAIR is a reward model for multi-turn agent optimization that uses internal correctness probing to provide dense step-level signals for GRPO training.
The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models
Research indicates that LLMs' struggle with self-correction is often an artifact of chat template role labeling rather than a cognitive deficit.
A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach
A hybrid FEA-AI multi-agent framework is proposed to optimize interior permanent magnet synchronous motor design, reducing computation time and iron loss.
Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
Role-Agent is a framework that enables a single LLM to act as both agent and environment for bootstrapped co-evolution and improved generalization.