Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
arXiv:2602.18493v1 Announce Type: new
Abstract: Long-context LLMs and Retrieval-Augmented Generation (RAG) systems process information passively, deferring state tracking, contradiction resolution, and evidence aggregation to query time, which becomes brittle under ultra long streams with frequent ...
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications
arXiv:2602.18582v1 Announce Type: new
Abstract: When training artificial intelligence (AI) to perform tasks, humans often care not only about whether a task is completed but also how it is performed. As AI agents tackle increasingly complex tasks, aligning their behavior with human-provided specifi...
Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic
arXiv:2602.18607v1 Announce Type: new
Abstract: In CAS adaptation, a challenge is to define the dynamic architecture of the system and changes in its behavior. Implementation-wise, this is projected into an adaptation mechanism, typically realized as an Adaptation Manager (AM). With the advances of...
Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System
arXiv:2602.18640v1 Announce Type: new
Abstract: Modern large-scale ranking systems operate within a sophisticated landscape of competing objectives, operational constraints, and evolving product requirements. Progress in this domain is increasingly bottlenecked by the engineering context constraint...
arXiv:2602.18671v1 Announce Type: new
Abstract: We reinterpret the final Large Language Model (LLM) softmax classifier as an Energy-Based Model (EBM), decomposing the sequence-to-sequence probability chain into multiple interacting EBMs at inference. This principled approach allows us to track "ene...
A Meta AI security researcher said an OpenClaw agent ran amok on her inbox
The viral X post from an AI security researcher reads like satire. But it's really a word of warning about what can go wrong when handing tasks to an AI agent.
The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics
Chain-of-thought (CoT) prompting is a de-facto standard technique to elicit reasoning-like responses from large language models (LLMs), allowing them to spell out individual steps before giving a final answer. While the resemblance to human-like reasoning is undeniable, the driving forces underpinni...
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
One of the first pre-processing steps for constructing web-scale LLM pretraining datasets involves extracting text from HTML. Despite the immense diversity of web content, existing open-source datasets predominantly apply a single fixed extractor to all webpages. In this work, we investigate whether...
AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding
Recent multimodal large language models (MLLMs) such as GPT-4o and Qwen3-Omni show strong perception but struggle in multi-speaker, dialogue-centric settings that demand agentic reasoning tracking who speaks, maintaining roles, and grounding events across time. These scenarios are central to multimo...
Beyond Simple API Requests: How OpenAI’s WebSocket Mode Changes the Game for Low Latency Voice Powered AI Experiences
In the world of Generative AI, latency is the ultimate killer of immersion. Until recently, building a voice-enabled AI agent felt like assembling a Rube Goldberg machine: you’d pipe audio to a Speech-to-Text (STT) model, send the transcript to a Large Language Model (LLM), and finally shuttle text ...
Use Claude Code to quickly build completely personalized applications
The post Build Effective Internal Tooling with Claude Code appeared first on Towards Data Science.
MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix
Avneesh Saluja, Santiago Castro, Bowei Yan, Ashish RastogiIntroductionNetflix’s core mission is to connect millions of members around the world with stories they’ll love. This requires not just an incredible catalog, but also a deep, machine-level understanding of every piece of content in that cata...
Pure Storage Becomes Everpure; Announces Intent to Acquire 1touch
From revolutionizing storage to redefining data management, Everpure unleashes the power of data for the AI era Pure Storage® (NYSE: PSTG), the company revolutionizing storage and data management, today announced its new name: Everpure™. This change reflects the company’s greater impact from reshapi...
Tavus, the human computing company building lifelike AI humans that can see, hear, and respond in real time, today launched Phoenix-4, a real-time behavior generation engine that generates emotionally responsive, context-aware human presence in live conversation. Phoenix-4 is the first real-time mod...
AI-powered contact center reduces administrative burden by 80% for South Carolina practice by managing everything from scheduling to prescription refills, expanding after-hours coverage, and supporting practices with secure, clinician-vetted workflows New data shows healow GenieTM, the AI-powered co...
The human work behind humanoid robots is being hidden
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In January, Nvidia’s Jensen Huang, the head of the world’s most valuable company, proclaimed that we are entering the era of physical AI, when artificial intellig...
Spotify rolls out AI-powered Prompted Playlists to the U.K. and other markets
Spotify continues to test its AI-powered “Prompted Playlists” feature, now rolling out the tool to Premium subscribers in the U.K., Ireland, Australia, and Sweden.
7Rivers, a pioneering technology services company that helps customers harness the power of data and AI to deliver real business value, today announced a $5 million Series A investment led by Inoca Capital Partners who took a minority position in the company. A certified Snowflake Elite Partner, 7Ri...
Over the past three years, we’ve experienced phenomenal momentum, continuing a 3X annual growth rate to reach $68 million in ARR and achieve a $1.4 billion valuation. With this rapid growth comes an even greater responsibility. Despite the exciting prospects, we recognize the inherent challenges of ...