All Updates

Page 1138 of 1519

March 18, 2026

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Bloomberg Technologyβ€’111d ago

AI: Bonanza or Bubble?

AI is now coding apps, drafting contracts, and organizing marketing campaigns. Massive spending on the technology creates a vast financial liability for markets. It's unclear how these investments will pay off.

#ai-bubble#investment-risk#market-analysis
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ArXiv AIβ€’111d ago

RSM: 20x Faster Recursive Reasoning

Recursive Stem Model (RSM) improves on TRM by detaching hidden-state history during training, using warm-up steps, and applying loss only at the final iteration for 20x faster training and 5x error reduction. It enables test-time scaling to thousands of steps without retraining, achieving 97.5% accuracy on Sudoku-Extreme and 80% on Maze-Hard. Convergence provides a built-in reliability signal against hallucinations.

#recursive-reasoning#efficient-training#test-time-scaling
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ArXiv AIβ€’111d ago

QV Suffices for LLM Attention Essence

This arXiv paper derives the core of Query-Key-Value (QKV) in Transformers from linguistic POS and syntactic principles. It unifies explanations for MQA, GQA, and MLA architectures, introduces the QV paradigm with empirical validation, and proposes the QV-Ka optimization scheme backed by experiments.

#attention-mechanism#qkv
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ArXiv AIβ€’111d ago

NextMem: Latent Memory for LLM Agents

NextMem is a latent factual memory framework for LLM-based agents that uses an autoregressive autoencoder for efficient memory construction and accurate reconstruction. It features a two-stage training processβ€”autoregressive reconstruction alignment and progressive latent substitutionβ€”plus quantization for reduced storage. Experiments show superior retrieval, robustness, and extensibility; code is open-sourced on GitHub.

#memory-augmentation#llm-agents#autoencoder
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ArXiv AIβ€’111d ago

HYQNET: Logic Queries in Hyperbolic Space

HYQNET is a neural-symbolic model for answering complex first-order logic queries on knowledge graphs using hyperbolic space. It decomposes queries into relation projections and fuzzy logic operations while employing hyperbolic GNNs for graph completion to handle missing links. Benchmarks show it outperforms Euclidean methods by capturing hierarchical structures effectively.

#knowledge-graphs#neural-symbolic
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ArXiv AIβ€’111d ago

GSI Agent Enhances LLMs for Stormwater Infrastructure

GSI Agent is a framework that enhances LLMs for Green Stormwater Infrastructure tasks using supervised fine-tuning, retrieval-augmented generation from municipal documents, and an agent-based reasoning pipeline. It introduces a new GSI Dataset for real-world inspection scenarios. Experiments show BLEU-4 scores improving from 0.090 to 0.307 on GSI tasks while general knowledge remains stable.

#domain-adaptation#rag#sft
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ITmedia AI+ (ζ—₯本)β€’111d ago

Google Launches WebMCP Preview for AI Agents

Google released an early preview of WebMCP, a new web standard enabling structured interactions between AI agents and websites. Web developers can publish tools specifically for AI agents, allowing faster and more accurate processing. This addresses limitations in traditional browser automation.

#ai-agents#web-standard#automation
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ITmedia AI+ (ζ—₯本)β€’111d ago

Free Remote MCP Server for Gov Data Released

AI HYVE and N-3 released a free remote MCP server that makes administrative APIs accessible to AI agents. It enables ChatGPT, Gemini, and Claude to access the latest data from Japan's Ministry of Land, Infrastructure, Transport; Small and Medium Enterprise Agency; and Ministry of Internal Affairs and Communications.

#ai-agents#gov-data#api-access
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ArXiv AIβ€’111d ago

DynaTrust Defends MAS from Sleeper Agents

DynaTrust introduces dynamic trust graphs to protect LLM-based multi-agent systems from sleeper agents that build trust before attacking. It continuously updates agent trust based on behaviors and expert confidence, then restructures the graph to isolate threats while maintaining task connectivity. Evaluations on AdvBench and HumanEval show 41.7% better success rate than AgentShield, exceeding 86% with low false positives.

#multi-agent-systems#sleeper-agents#trust-graphs
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ArXiv AIβ€’111d ago

Dynamic Survey of Fuzzy and Neutrosophic Sets

This arXiv paper offers a comprehensive survey of generalized set theories for modeling vagueness and uncertainty, including Fuzzy, Intuitionistic Fuzzy, Neutrosophic, and Plithogenic Sets. It highlights recurring ideas and structural patterns across these frameworks. The unified exposition aims to inspire new insights, extensions, and applications in various disciplines.

#fuzzy-sets#neutrosophic#plithogenic
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ArXiv AIβ€’111d ago

CraniMem: Brain-Inspired Agent Memory

CraniMem is a neurocognitively inspired gated and bounded multi-stage memory for LLM agents in long workflows. It features goal-conditioned gating, utility tagging, episodic buffer, and knowledge graph with consolidation to ensure stable retention and noise resistance. Outperforms Vanilla RAG and Mem0 on benchmarks; open-source on GitHub and PyPI.

#agent-memory#neurocognitive#knowledge-graph
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ArXiv AIβ€’111d ago

Cost-Sensitive Store Routing for Memory Agents

Memory-augmented agents maintain multiple specialized stores but typically retrieve from all for every query, raising costs and adding irrelevant context. This paper frames retrieval as a store-routing problem, evaluated via coverage, exact match, and token efficiency. An oracle router delivers higher QA accuracy with far fewer tokens than uniform retrieval, highlighting routing's role in scalable designs.

#memory-agents#store-routing#retrieval-efficiency
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ArXiv AIβ€’111d ago

CGAE: Robustness-Gated AI Agent Economy

The Comprehension-Gated Agent Economy (CGAE) limits AI agents' economic actions based on verified robustness audits across constraint compliance, epistemic integrity, and behavioral alignment. It uses a weakest-link gate to assign economic tiers, proving bounded liability, incentive-aligned robustness, and scaling safety. Temporal decay and re-auditing prevent drift.

#ai-agents#robustness-audits#economic-governance
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ArXiv AIβ€’111d ago

Atlas Compiles Memory into Agent Instructions

Atlas is a memory kernel that compiles task experience into precise instructions for language agents, without fine-tuning, RAG, or human intervention. It rewrites the system prompt with verified facts from successes and failures, boosting GPT-4o performance by +8.7pp F1 on CUAD and +3.16pp on HotpotQA. The compiled prompt transfers to Claude Sonnet 4.5, confirming task-specific gains.

#language-agents#memory-distillation#prompt-rewriting
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ArXiv AIβ€’111d ago

AIDABench: AI Data Analytics Benchmark

AIDABench introduces 600+ diverse tasks for end-to-end AI evaluation in data analytics, covering QA, visualization, and file generation across real-world heterogeneous data. Even top models like Claude Sonnet 4.5 score only 59.43% pass@1, revealing significant challenges. The benchmark is publicly available on GitHub.

#benchmark#data-analytics
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θ™Žε—…β€’111d ago

Banma IPO Refile: Revenue Stagnates

Alibaba-SAIC's Banma refiles HK IPO, revealing flat revenue (~8.5B RMB) 2023-2025 and losses nearing 19B RMB. AI cockpit solutions <8% revenue amid OEM self-dev trend. Ex-CFO publicly doubts prospects.

#ipo#smart-cockpit#ai-transition
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Reddit r/LocalLLaMAβ€’111d ago

LLM Masters Git Over Retrieval Pipelines

DiffMem team replaced complex retrieval pipeline with a single read-only shell command tool, leveraging LLMs' built-in git expertise from training data. Agent uses git log, grep for efficient, lean-context queries, enabling temporal insights keywords miss. Real example links birthday message to work memories via commit history.

#agent-tools#retrieval#tool-use
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The Guardian Technologyβ€’111d ago

Instagram to End DM E2E Encryption in 2026

Instagram will discontinue end-to-end encryption for direct messages starting May 8, 2026. Meta made the quiet announcement amid years of criticism from child safety groups and law enforcement. The change updates a 2022 news post on its help page.

#privacy#encryption#moderation
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36ζ°ͺβ€’111d ago

Tencent Cloud Boosts MiniMax Agent RL Base

MiniMax partners deeply with Tencent Cloud on Agent RL training via Agent Runtime sandbox. Enables Forge framework for ms-level env startup, 1M throughput, 100k concurrency, instant destruction. Greatly enhances RL training efficiency and stability.

#rl-training#agent-framework#cloud-collab
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Reddit r/MachineLearningβ€’111d ago

CRYSTAL Benchmark Reveals VLM Reasoning Gaps

CRYSTAL is a new benchmark with 6,372 visual questions featuring verified step-by-step reasoning to evaluate multimodal models beyond final answers. Tests on 20 models show high accuracy but poor reasoning recovery, like GPT-5 at 58% accuracy vs 48% steps. CPR Curriculum training boosts reasoning by up to 93% on select VLMs.

#multimodal-reasoning#vlm-evaluation#benchmark
Page 1138 of 1519