Collective Hallucination
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Collective Hallucination in Multi-Agent LLMs:Modeling and Defense
arXiv:2606.07941v1 Announce Type: new Abstract: Hallucinations in large language models (LLMs) create heightened risks in multi-agent settings, where recursive agent interactions can propagate, reinforce, and amplify unsupported claims. This paper models hallucination as a system-level, time-evolving process across a network of interacting LLM agents, where nodes represent agents and edges encode information exchange. The proposed formulation captures how hallucinated claims diffuse through...
RoboDream: Compositional World Models for Scalable Robot Data Synthesis
arXiv:2606.02577v1 Announce Type: new Abstract: Scaling robot learning requires large-scale, diverse demonstrations, yet real-world data collection via teleoperation remains prohibitively expensive and time-consuming. While video diffusion models offer a promising avenue for data scaling, existing generative approaches are often limited to superficial visual augmentation, or suffer from embodiment hallucinations that yield physically infeasible motions. We present a generalizable...
Social Reasoning in Machines: Investigating Collective Truth-Seeking Dynamics in Large Language Model Debate
arXiv:2605.30391v1 Announce Type: new Abstract: Human reasoning has long been theorised to operate socially, not through isolated individual cognition, but through collective adversarial discourse, a framework known as the Argumentative Theory of Reasoning (ATR). Rather than relying on individual "intellectualist reasoners" as the primary vehicle for truth-seeking, ATR reconceptualises truth as an emergent property of social epistemology: the product of imperfect individual reasoning refined...
Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection
arXiv:2606.03387v1 Announce Type: new Abstract: Smart contract vulnerabilities in Decentralized Finance (DeFi) protocols resulted in over 1.49 billion USD in confirmed losses in 2024 alone, across 192 incidents [1]. As LLM-based vulnerability detection emerges as a promising approach to address these threats, the quality of evaluation datasets has become a critical bottleneck. Existing datasets suffer from three fundamental problems: they are built on outdated Solidity versions (e.g., v0.4)...
Ernst & Young published cybersecurity report full of hallucinations
Earlier this year, an engineer at GPTZero coined the term “vibe citing” to describe the accidental creation of fake references via LLM hallucinations. It turns out that the friction of creating and checking citations is leading many researchers, consultants, lawyers, and public officials to embrace the vibe (if you know what we mean). Among the converts are the authors of a 2025 Ernst & Young report titled Points of Attack: Uncovering Cyber Threats and Fraud in Loyalty Systems.
Crystal Nights by Greg Egan
Publication history - Interzone #215, April 2008. - Free podcast at Transmissions From Beyond. [Site no longer active] - Oceanic (collection, Orion) -
Ask HN: What are tools you have made for yourself since the advent of AI?
I've made a number of ceramic molds for slumping fused glass into bowls. As well as wooden templates for ceramic mugs. I've devised a few carrying tools to move glass frit paintings from my studio down to my barn where the kilns sit without spilling the glass.
Fine-tuning an LLM to write docs like it's 1995
Fine-tuning an LLM to write docs like it's 1995 In my predictions for 2030 I wrote that tech writers would be using specialized LLMs, running locally on powerful hardware. I see hints of this move to “local first” among engineering pundits, but we’re not there yet, in part because of how much more powerful connected frontier models are. That doesn’t mean we can’t experiment, though.
Microsoft’s AI chief says superintelligence is near, but won’t take your job
Today I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. And I’m actually going to keep today’s intro short — I’m working from my wife’s family farm this week, as you’ll see in the video, but also this is a real burner of an episode. We covered everything from Mustafa’s approach to training new models to his criticisms of Anthropic talking about Claude as though it is conscious.
Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7%
Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7% Andrew Zinin Lead Editor Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside centralized medical facilities. These tests rely on machine learning models to make diagnostic predictions, but such inference models are susceptible to hallucinations and may produce erroneous outcomes. As a result, their limited reliability has...