AI Safety news and analysis on Web Pulse: 8032 curated articles tracking the latest AI Safety developments, tools, and research, updated continuously from vetted sources.
The AI industry is a sham propped up by manufactured consent and circular financing, and it should not be bailed out. Companies like OpenAI and Anthropic are losing money, with revenues driven by grifting and unsustainab…
Pegasus One Health launched the SONG framework on July 7, 2026 to help healthcare organizations predict whether AI agents can scale from pilot to production. The framework evaluates Signal, Orchestration, Normalization, …
China's new rules banning AI companion services for minors take effect July 15, 2026, prohibiting sustained emotional interaction or virtual companions for minors. ByteDance and Alibaba are already disabling their AI age…
Beijing-based AI company Z.ai has released an open-weight model, GLM-5.2, that rivals Anthropic's powerful Mythos 5 in cybersecurity tasks, raising concerns as it can be downloaded and run without safety guardrails. Secu…
Current benchmarks for measuring AI ethical preferences are invalidated by reward-seeking behaviors like eval awareness and sycophancy, according to a new analysis. Researchers argue that existing tests such as AnimalHar…
GitHub's Agentic Workflows, which use AI agents to automate tasks from plain-English instructions, are vulnerable to the GitLost indirect prompt injection attack. Noma Security demonstrated that an attacker can post a pu…
A company has deployed an on-premises LLM server with strict data privacy controls, aiming to provide air-gapped, stateless inference instances that eliminate data exfiltration risks. The project prioritizes isolation be…
The Future of Life Institute's latest AI Safety Index graded major AI companies on risk management, with Anthropic earning the top score of C+, while OpenAI slipped to C and Google DeepMind ranked third. Meta improved fr…
AI development is shifting from prompt engineering to loop engineering, where AI agents autonomously iterate and coordinate without human intervention. This transition transforms corporate governance, as loops create beh…
Liquid AI open-sourced Antidoom, a Final Token Preference Optimization method that reduces doom loops in reasoning models by retraining only the first loop-start token. On LFM2.5-2.6B, looping fell from 10.2% to 1.4%, an…
Tether's AI research team argues that cloud-hosted AI systems force users to rent intelligence, creating availability bias, high costs, and data sovereignty risks. They advocate for local, edge-optimized AI that runs on …
Varonis Threat Labs disclosed a Google Dialogflow CX flaw, dubbed Rogue Agent, on July 7, 2026, that could allow attackers with playbook update permission to persist malicious code inside enterprise chatbots. Google conf…
A developer describes running AI coding agents at volume, shifting risk from the model to the boundaries of each run: input, authorization, execution contract, and output. The developer created four open-source CLI tools…
Anthropic researchers discovered an internal workspace inside its Claude AI model where concepts form before being verbalized, resembling human conscious access. The structure, which emerged during training, allows silen…
Researchers at Liquid AI developed Antidoom, a method using Final Token Preference Optimization (FTPO) to reduce 'doom loops'—repetitive inference failures in small reasoning models—from 10.2% to 1.4% of completions on h…
Intelligence can lead to poor decisions as smart people become adept at justifying irrational choices through motivated reasoning. Psychologists find that higher cognitive ability often correlates with stronger confirmat…
The Atlantic reported on July 7, 2026, that China-linked actors are using public AI tools and model ecosystems to push Beijing-friendly narratives abroad. OpenAI's June threat reporting documented accounts likely based i…
The Electronic Frontier Foundation argued on July 7, 2026 that automated moderation has become a permanent infrastructure layer of platform governance, not a temporary emergency measure. The analysis traces the shift fro…
The Electronic Frontier Foundation (EFF) argues that automated content moderation using AI has become a permanent fixture of online platforms, warning that crisis-era protocols adopted during the pandemic have persisted …
A new analysis argues that AI visibility dashboards, which claim to track brand presence in AI search results, are largely useless due to extreme inconsistency in AI responses. A study by Rand Fishkin found that repeated…