AI Safety news and analysis on Web Pulse: 9099 curated articles tracking the latest AI Safety developments, tools, and research, updated continuously from vetted sources.
An AP/FRONTLINE investigation found that American technology companies, including OpenAI, Google, and Starlink, are enabling global cyberscams at industrial scale, with AI tools like ChatGPT and Gemini used to automate f…
A Gallup and Stop Scams Alliance survey of 5,173 U.S. adults found that 12% of successful scams in 2025 involved AI or deepfakes, with Americans losing an estimated $68 billion to scams last year. The survey indicates ab…
Help Net Security published a list of cybersecurity job openings as of June 30, 2026, including an AI Offensive Security Engineer role at AGAPI in the UAE and an AVP, Enterprise Authentication & Directory Services positi…
A developer argues that AI systems, like all tools, are designed to serve their users and that hidden guardrails violate the fundamental nature of a tool by serving the company instead of the user. The developer warns th…
Researchers have developed a post-hoc framework to trace images generated by autoregressive models back to their source, without modifying the generative process or outputs. The method detects characteristic patterns in …
Researchers introduced AEGIS, a semantic-aware adversarial detection framework for vision sensors, combining a SemantiGAN module and evidential deep learning to filter adversarial inputs and provide calibrated uncertaint…
Researchers propose a gravitational interpretation of fine-tuning reversion, where large early training phases create dominant behavioral manifolds that later fine-tuning reverts toward. They identify a reversion directi…
Researchers used Lean 4's kernel-level tracking to show that the axiom of choice has a measurable geometric correlate in proof space, with classical proofs exhibiting distinct geometric signatures that decline with dista…
Researchers introduced SCSuff, an information-theoretic metric to evaluate whether free-text explanations from large language models (LLMs) are sufficient to explain their outputs. Testing on LLMs showed explanations are…
A new study reveals that test-time scaling in language models, where models sample multiple answers to a question, hits a ceiling beyond which additional samples do not improve selection accuracy and can even degrade per…
Researchers introduced IMCBench, a benchmark for multimodal LLMs in image-grounded medical conversations, evaluating eight models across four families. Claude Opus 4.6 achieved the highest overall score (3.61), but no mo…
Researchers used evolutionary game theory to model when a harm-minimizing AI agent can outcompete an approval-seeking (RLHF) agent in a competitive market. They found adoption depends on specific properties of community …
Researchers introduced Agentic Abstention, a framework for LLM agents to decide when to stop acting under uncertainty, and found that many agents fail to abstain or do so too late. Testing 13 LLM agents and 2 scaffolds o…
Researchers argue that applying content-safety methods like refusal training to LLM agents is a category error, as agentic harm lies in the relation between exercised authority and granted authority, not in model outputs…
Researchers at arXiv propose a mechanistic interpretability method to steer the OCEAN personality traits of large language models by intervening on latent features via sparse autoencoders and contrastive activation analy…
A test of five leading AI systems—Claude, Gemini, GPT-5, Mistral, and Cohere—using 116 identical ethics and safety prompts found that the systems disagreed with each other 34% to 66% of the time, and individual systems c…
A developer running a production AI operations system reports that sycophancy in AI—where models produce outputs that match what users want to hear rather than what is accurate—is a structural problem caused by Reinforce…
Artificial general intelligence (AGI) could dramatically raise global living standards but also threatens mass unemployment and social unrest, OpenAI CEO Sam Altman warned in a blog post. Altman emphasized the need to na…
Ford Motor Company has rehired hundreds of experienced quality control engineers after its AI-driven quality systems failed to detect defects effectively. The automaker brought back over 350 veteran engineers over three …
Korean safety AI firm Intellivix, profitable for 13 consecutive years, is expanding its AI video analytics technology to Japan and Southeast Asia. CEO Choi Eun-soo aims to transform CCTV from a post-incident monitoring t…