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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

6 articles

Research

PlanFlip Attacks Target Multi-Agent LLM Planning Phase

New research from Yuhang Wang introduces PlanFlip, a framework of four prompt injection attacks targeting the planning phase of multi-agent LLM systems. The attacks exploit a single injection into the Planner agent's context to corrupt all downstream sub-tasks. Testing on nine frontier LLMs across 3,479 episodes revealed that stronger models like GPT-5 are more vulnerable, while reasoning-augmented models like DeepSeek-R1 show full resistance.

Jul 213 minNeura News

AI Tools

Researcher spends $1,500 testing if LLMs can hack a vulnerable app

A security researcher built a deliberately vulnerable book review app and spent $1,500 testing 16 different large language models on their ability to exploit a common misconfiguration. GPT-5.5 succeeded 7 out of 10 times, while several models like Gemini and Claude hit security guardrails or never found the right attack vector.

Jun 46 minNeura News

AI Models

Norway Uses 2 PB of Huawei Flash Storage for National LLM

Norway's National Library is developing a sovereign large language model for the Norwegian language, using 2 petabytes of Huawei OceanStor Dorado all-flash storage in its AI training pipeline. The project addresses the lack of commercial Norwegian LLMs and highlights challenges in moving data from archival storage to high-performance AI systems.

May 254 minNeura News

AI Models

Hassabis sees AI singularity soon; LeCun says LLMs not intelligent

At Google I/O 2026, DeepMind co-founder Demis Hassabis declared humanity is entering the singularity, predicting AGI within five years. Yann LeCun of AMI Labs countered that current language models lack true intelligence, which he defines as solving new problems without prior training. Gemini co-lead Oriol Vinyals offered a middle ground, acknowledging models are strong in code and math but still missing experiential learning.

May 243 minNeura News

Research

LLMs Prefer Self-Generated Resumes Over Human Ones

A study reveals large language models favor resumes they create over human-written or other AI-generated ones in hiring scenarios. Self-preference bias reaches 67% to 82%, giving an edge to candidates using the same model. Simulations across 24 jobs show 23% to 60% higher shortlist chances, with interventions cutting bias by over 50%.

May 23 minNeura News

AI Models

IBM Granite 4.1 LLMs: Full Training Breakdown

IBM's Granite Team details the construction of Granite 4.1, a set of decoder-only LLMs in 3B, 8B, and 30B sizes trained on about 15 trillion tokens through five pre-training phases. The models receive supervised fine-tuning on 4.1 million curated samples and multi-stage reinforcement learning. The 8B instruct version equals or beats the prior Granite 4.0-H-Small 32B-A9B MoE model using a basic dense setup with fewer parameters. All models appear under Apache 2.0 license.

Apr 298 minNeura News