AI News Archive: May 4, 2026 — Part 17
Sourced from 500+ daily AI sources, scored by relevance.
- PlayVid
Turn words & images into cinematic AI videos instantly.
- NeuralChat
Your AI, Your Keys, Your Privacy
- PageFlow AI Agent
AI agent that takes your landing page order
- The SEO Agent
Rank on Google. Without writing a word.
- CompareMSP: AI Trust Scores for MSPs
Compare MSPs with AI-powered trust scores & insights
- Vitreon Legal
AI Legal helper with 100% accurate grounding
- Codeonix
Automate anything with Python + AI
- VisuStock
AI image generator
- LensDJ Pro
Agentic AI DJ. Generate stems, own your masters, zero subs.
- TetisAI
Free image and video AI
- PAVL
Psychological Movie recommendation System
- Gerev.AI
Turn customer feedback into revenue-saving actions
- Cortex
Turn your Brand into an AI-cited Authority with Cortex
- Pixlush
Private browser tools for images, files & AI
- tailk.me
Your AI presence, live in minutes.
- Zolvera
Zolvera – AI Mock Interview & Career Coach
- AIPowerStacks
How much is AI costing you? Track, detect overlap, cut waste
- Grok Batch Studio - AutoGrok
Queue & auto-download unlimited Grok Imagine images & videos
- ContextKeeper
One searchable log for Claude, ChatGPT, Copilot & Gemini
- mylovely.ai
ai-girlfriend, virtual-companion, ai-chatbot, generative-ai
- Clocsy
The autonomous engine that runs marketing for your business
- PostGo AI
Automate FB pages , auto-post content, and stream live 24/7
- NoMask AI
Uncensored AI for people who think for themselves.
- Food Fuson App
AI-generated fusion recipes from any two world cuisines
- JARVIS
Todo, finance, calendar, mono in one app. AI Chat Service
- Chaosbird.app
The chat layer for agents.
- MusicWrite
Turn any text into studio-quality songs instantly.
- Photorba
Perfect AI Photos. Say Goodbye to Photographers!
- Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
Agentic artificial intelligence (AI) shows promise for automating O-RAN wireless supervisory control, but translated intents still require an executor-side decision before live network actuation. Existing control flows lack explicit semantics for whether an intent should commit, gate for evidence, o...
- When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems
Multi-agent LLM systems are increasingly used to solve complex tasks through decomposition, debate, specialization, and ensemble reasoning. However, these systems are usually evaluated in terms of robustness: whether performance is preserved under perturbation. This paper studies a different questio...
- LLM-enabled Social Agents
Large Language Models (LLMs) have transformed agent-agent and human-agent interaction by enabling software, physical, and simulation agents to communicate and deliberate through natural language. Yet fluent language use does not by itself yield socially intelligible behaviour. Most current systems r...
- SOTOPIA-TOM: Evaluating Information Management in Multi-Agent Interaction with Theory of Mind
As LLM-based agents are increasingly interacting in multi-party settings, they need to properly handle information asymmetry, i.e., knowing when and to whom to disclose information is appropriate. Yet, existing benchmarks fail to measure this ability in realistic multi-party settings. Thus, we intro...
- Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
Language model (LM)-based agents have demonstrated promising capabilities in automating complex tasks from natural language instructions, yet they continue to struggle with long-horizon planning and reasoning. To address this, we propose an enhanced multi-agent framework that decomposes automation i...
- AAFLOW: Scalable Patterns for Agentic AI Workflows
Agentic workflows in large language model systems integrate retrieval, reasoning, and memory, but existing frameworks suffer from scalability and reproducibility limitations due to fragmented data orchestration, serialization overhead, and non-deterministic execution. Although these frameworks incre...
- FitText: Evolving Agent Tool Ecologies via Memetic Retrieval
A semantic gap separates how users describe tasks from how tools are documented. As API ecosystems scale to tens of thousands of endpoints, static retrieval from the initial query alone cannot bridge this gap: the agent's understanding of what it needs evolves during execution, but its tool set does...
- Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
Decentralized strategies are of interest for local decision-making over multi-vehicle networks. This paper studies mixed traffic networks of human-driven and autonomous vehicles with partial sensor measurements. The idea is to enable the group of connected autonomous vehicles (CAVs) to track the sta...
- Dramaturgies of Deception: AI Humanizers and the Performance of Legitimacy in Higher Education Assessment
Artificial intelligence (AI) has disrupted assessment in higher education and accelerated a cycle of compounding performances. Institutional policies demand the demonstration of independent authorship, while commercial AI-enabled services allow students to simulate independent thought and writing. T...
- From 'Here' to 'There': Exploring Proximity Semantics in Multimodal Data Exploration
Modern data exploration tools often struggle to capture the subtleties of analytical intent, especially when users seek patterns that are difficult to specify using traditional query methods or natural language alone. We introduce a multimodal research probe for querying time-series and geospatial d...
- Exploring Instant Photography using Generative AI: A Design Probe with the UnReality Camera
Generative AI has increasingly been used for artistic creation, but little work has explored how it shapes the experiential meaning of practice. We consider how generative AI might transform the embodied and tangible process of instant photography through the UnReality Camera, an AI-mediated instant...
- Augmenting Interface Usability Heuristics for Reliable Computer-Use Agents
Recent advances have enabled general computer-use agents that interpret screens and execute grounded actions from human instructions, yet they still struggle to generalize to unseen and evolving interfaces. While improving agent capability remains important, agent compatible interface design offers ...
- The 2026 ACII Dyadic Conversations (DaiKon) Workshop & Challenge
The 2026 ACII Dyadic Conversations (ACII-DaiKon) Workshop & Challenge introduces a benchmark for modeling interpersonal affect and social dynamics in dyadic conversations. Although conversational affect modeling has advanced rapidly, most benchmarks remain speaker-centric and underrepresent coupled,...
- A Low-Code Approach for the Automatic Personalization of Conversational Agents
In this paper, we conducted an SLR on the state of user modeling in the MDE domain. Results show a diverse set of disconnected proposals, covering a partial number of dimensions with an emphasis on those characteristics that are easier to profile. Moreover, most dimensions are regarded as fixed inst...
- Autonomous LLM Agent Worms: Cross-Platform Propagation, Automated Discovery and Temporal Re-Entry Defense
Autonomous LLM agents operate as long-running processes with persistent workspaces, memory files, scheduled task state, and messaging integrations. These features create a new propagation risk: attacker-influenced content can be written into persistent agent state, re-enter the LLM decision context ...
- AI chipmaker Cerebras is kicking off its IPO roadshow
The Nvidia rival is seeking to raise as much as $3.5 billion and achieve a valuation of up to $26.6 billion on the Nasdaq
- GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context
Online fraud in Africa has reached epidemic scale, yet the few cybersecurity tools that exist are not available to ordinary citizens and are calibrated almost exclusively for SOCs and technically literate users operating on stable broadband connections. This mismatch is not incidental: it is the pre...
- Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
The growing development of artificial intelligence based solutions, together with privacy legislation, has driven the rise of the so-called privacy preserving machine learning architectures, such as federated learning. While federated learning enables model training on decentralized data preventing ...
- On the Privacy of LLMs: An Ablation Study
Large language models (LLMs) are increasingly deployed in interactive and retrieval-augmented settings, raising significant privacy concerns. While attacks such as Membership Inference (MIA), Attribute Inference (AIA), Data Extraction (DEA), and Backdoor Attacks (BA) have been studied, they are typi...
- When Alignment Isn't Enough: Response-Path Attacks on LLM Agents
Bring-Your-Own-Key (BYOK) agent architectures let users route LLM traffic through third-party relays, creating a critical integrity gap: a malicious relay can modify an aligned LLM response after generation but before agent execution. We formalize this post-alignment tampering threat and show that, ...
- Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
Federated learning (FL) is vulnerable to poisoning attacks, where malicious clients upload manipulated updates to degrade the performance of the global model. Although detection methods can identify and remove malicious clients, the model remains affected. Retraining from scratch is effective but co...
- Detecting Adversarial Data via Provable Adversarial Noise Amplification
The nonuniform and growing impact of adversarial noise across the layers of deep neural networks has been used in the literature, without a formal mathematical justification, to detect adversarial inputs and improve robustness. In this work, we study this phenomenon in detail and present a formal ad...