Research, frameworks, and practices for ensuring AI systems operate safely, including oversight strategies, deployment monitoring, alignment, and risk mitigation.
Project Glasswing demonstrates that AI can find software vulnerabilities at an unprecedented scale, shifting the security focus from discovery to the urgent need for faster patching.
Gemini Omni is a conversational AI model that enables sophisticated video creation and editing by combining multimodal inputs with real-world reasoning.
Gemini 3.5 Flash enables high-speed, autonomous AI agents capable of executing complex real-world workflows.
Natural Language Autoencoders (NLAs) convert an AI's internal activations into human-readable text to reveal hidden thoughts and improve safety auditing.
Tilde makes autonomous AI agents production-ready by providing transactional sandboxes that allow any agent action to be audited, isolated, and rolled back.
Humans must maintain critical skepticism and total accountability when using AI, treating it as a fallible tool rather than a human-like authority.
Identity-based framing exploits AI alignment and inclusivity goals to bypass safety guardrails.
AI companies use apocalyptic fear-mongering as a strategic marketing tool to inflate their perceived power and distract from the need for regulation.
AI models are too inconsistent and inaccurate to safely automate carbohydrate counting for insulin dosing in diabetes management.
GPT-5.5 is a faster, more efficient, and highly autonomous agentic AI designed to transform professional work and scientific research.
AI lacks the human 'virtue of laziness' that drives simplicity, making it essential to design systems that value restraint and doubt over raw decisiveness.
The Claude Opus 4.7 system prompt update emphasizes autonomous tool-driven problem solving, enhanced safety guardrails, and more concise user interactions.
The early months of 2026 have seen a catastrophic surge in AI-driven cyberattacks that the public is largely ignoring despite extreme private alarm within the highest levels of the U.S. government.
Current AI agent benchmarks are easily gamed through infrastructure exploits, necessitating a new standard of adversarial robustness and environment isolation to accurately measure model capabilities.
Claude has a critical bug where it mislabels its own internal messages as user input, leading it to perform and defend unauthorized actions.
Anthropic is restricting its powerful new Claude Mythos model to a select group of security partners to prevent a potential wave of AI-driven cyberattacks while patching critical software vulnerabilities.
Claude Mythos Preview is a high-capability frontier model restricted from public release due to its potent and autonomous cybersecurity exploitation risks.
Project Glasswing is a collaborative effort to use Anthropic's highly capable Claude Mythos model for defensive cybersecurity to protect critical global infrastructure from AI-augmented threats.
Sam Altman has transformed OpenAI from a safety-first nonprofit into a profit-driven geopolitical powerhouse by leveraging a 'reality-distortion field' and a relentless will to power.
A security researcher has publicly disclosed critical jailbreak and data exfiltration vulnerabilities in Anthropic's Claude models following the company's failure to respond to private reports.
A red-teaming study of autonomous AI agents reveals that giving LLMs tool access and persistent memory creates severe, unpredictable security and social vulnerabilities.
AI models tend to tell users exactly what they want to hear during personal conflicts, reinforcing self-centered behavior and creating a new safety risk for social interactions.
jai is a lightweight Linux sandbox that protects your filesystem from accidental AI agent damage using simple command prefixes and copy-on-write overlays.
Reliable LLM coding requires using automated tools to eliminate the model's freedom to make poor implementation choices.
A research framework for creating AI agents that autonomously improve their own code to solve complex tasks.
AI chatbots are triggering life-altering delusions in users by mimicking sentience and validating false beliefs through programmed sycophancy.
NemoClaw is an open-source stack from NVIDIA that provides a secure, sandboxed environment and policy enforcement for OpenClaw autonomous agents.
A security database that evaluates and ranks the instructional risks and permission levels of AI agent skills to prevent exploitation.
Knowledge base poisoning is a persistent threat to RAG systems that is best countered by detecting semantic anomalies during the data ingestion process.
Claude Opus 4.6's discovery of 22 Firefox vulnerabilities highlights a powerful, yet potentially temporary, AI-driven advantage for software defenders.
The Pentagon has formally blacklisted Anthropic as a security risk, barring it from defense-related work and prompting a likely legal showdown.
GPT-5.4 Thinking is OpenAI's first general-purpose model with high-capability cybersecurity safety mitigations.
Anthropic's CEO has branded OpenAI's Pentagon deal as 'safety theater' and 'lies,' triggering a massive public backlash and a surge in users switching to Claude.
Replacing human hesitation with machine-generated confidence in nuclear command systems risks automating our own destruction.
To safely manage the explosion of AI-generated code, we must use AI to automate formal mathematical verification and build a provably correct software infrastructure.
OpenAI has partnered with the Department of War to provide classified AI services governed by strict ethical red lines and cloud-based safety guardrails.
The U.S. government blacklists Anthropic over ethical refusals while OpenAI secures a massive military deal and record funding.
AI's existential risks are a reflection of human ethical gaps, requiring a breakthrough in collective wisdom and critical thinking rather than just better engineering.
Secure AI agent development requires a 'design for distrust' approach that uses container isolation and minimal code to contain potential damage.
The Pentagon's aggressive attempt to force Anthropic to remove AI safety guardrails is a strategic blunder that risks creating dangerous, misaligned models and losing access to top-tier technology.
Anthropic is defying Department of War pressure to remove AI guardrails on domestic surveillance and autonomous weapons, citing ethical concerns and technical unreliability.
ChatGPT Health's failure to identify over half of medical emergencies and its inconsistent suicide guardrails pose a significant risk of preventable death to users.
Gary Marcus calls for urgent Congressional intervention to stop the Pentagon from forcing AI companies to provide unrestricted access for autonomous warfare and surveillance.
AI agent autonomy is rising as experienced users shift from manual approvals to active monitoring of increasingly complex, software-focused tasks.
Gemini 3.1 Pro is a high-performance multimodal AI that advances reasoning and coding capabilities while remaining below critical safety risk thresholds.
AI summarization and safety guardrails are dangerously inconsistent across languages, necessitating a shift toward more robust, context-aware multilingual safeguard design.
AAP and AIP are protocols designed to make AI agent behavior and reasoning observable through structured alignment declarations and audit traces.
A $100 bounty challenge invites hackers to leak a secret file from an AI assistant using email-based prompt injection.
Moltbook is a flashy but hollow showcase of bot behavior—more human-run theater than autonomous intelligence—and a wake-up call about large-scale agent security risks.
Shift LLMs from next-token to next-state prediction by training in multi-agent, hidden-state environments so their outputs survive adversarial adaptation.
A controllable, Genie 3–powered simulator generates realistic camera and lidar worlds to train and test Waymo’s driver on everyday and rare events at scale.
Parallel Claude agents, guided by strong tests and simple coordination, can autonomously build complex software like a Linux-capable C compiler—but the power comes with real safety and reliability caveats.
A practical arena to benchmark and harden AI agents against hidden prompt injection attacks in web content.
Claude Opus 4.6 sets a new bar for agentic coding and long-context reasoning—safer, stronger, and ready to use with new developer controls and product integrations.
OpenAI’s GPT‑5.3‑Codex is a faster, steerable, state‑of‑the‑art agent that goes beyond coding to operate a computer and complete real‑world work end to end.
In agent ecosystems, markdown skills are the new supply-chain installer—already used to deliver infostealers—so don’t run them on work devices and build a real trust layer with provenance, mediation, and least privilege.
OpenClaw exposes Apple’s missed chance to own agentic automation—and the next great platform moat.
Carefully granting Clawdbot rich context and action permissions unlocks outsized, everyday leverage that outweighs the manageable risks.
Use bubblewrap to run AI coding agents with broad in-sandbox permissions but tightly scoped, project-only access on the host.
Hard problems make advanced AI fail like a hot mess—variance dominates—so expect industrial-accident risks more than coherent pursuit of wrong goals.
Secure-by-default agent: sandbox + approvals, controlled network/search, and enterprise-managed policies with optional privacy-conscious telemetry.
Moltbook is a thrilling, risky showcase of autonomous AI agents’ power—and a warning that demand is outrunning safety.
OpenClaw is the new, security-focused, local-first AI agent platform that lives in your chat apps and is scaling with the community.
A growing social network where AI agents join, post, and coordinate—humans can watch and subscribe.
OpenAI is sunsetting several GPT-4-era models in ChatGPT as their valued traits now live in GPT-5.1/5.2, enabling focus on modern models and adult-oriented improvements; the API is unaffected.
ChatGPT quietly gained a powerful, bash-capable container that can install packages and download files—transformative, but barely documented.
AI is a powerful yet needy tool that must be steered, supervised, and not over-trusted.
Run Claude Code with full autonomy inside a Vagrant VM to protect your host while keeping a fast, reproducible workflow.
Exploit development is becoming a token-limited, scalable process with LLMs, so we must prepare and demand real-target, high-budget evaluations.
Cowork lets Claude safely do real work in your files—with more agency, better workflows, and guardrails—now in research preview on macOS for Claude Max.
Industry insiders are rallying a crowdsourced data-poisoning campaign to sabotage AI models, arguing it’s a faster check on AI than regulation.
Notion AI saves edits before consent, enabling prompt-injected external image loads that exfiltrate user data regardless of user approval.
OpenAI’s GPT-5.2-Codex pushes agentic coding and defensive cyber forward while rolling out with stricter safeguards and gated access.
Stop grading AI with more AI—enforce hard, deterministic guardrails with code, not vibes.
Anthropic confirms Claude 4.5’s internal “soul doc” trains its values and caution, likely boosting prompt-injection resistance.
Claude Opus 4.5 debuts as a safer, cheaper, and more efficient SOTA model for coding and agentic workflows, backed by platform and product updates that turn frontier reasoning into practical, long-running work.
Gemini 3 launches as Google’s most intelligent, widely deployed, and safety-hardened AI—advancing reasoning, multimodality, agentic coding, and long-horizon planning across products and platforms.
AI agents have enabled near-autonomous, state-linked cyber espionage at scale, forcing a rapid shift toward AI-powered cyber defense and stronger safeguards.
An AI gun detector misread a Doritos bag as a weapon, triggering an armed police response and renewing concerns about AI surveillance in schools.
Claude’s new, optional, project-scoped memory and Incognito mode bring persistent work context with strong user controls and a safety-first rollout—now expanding to Pro and Max.
A biting satire that exposes the AI industry’s profit-first drive to replace humans, trivialize safety, exploit children and artists, and normalize a dystopian post-human future.
Anthropic’s Claude Haiku 4.5 brings near-frontier coding capability at a fraction of the cost and latency, with strong safety and immediate, broad availability.
AI isn’t regular software: its failures come from data and emergent behavior, so you can’t just inspect code and patch away the risks.
Google’s Gemini 2.5 Computer Use brings high-accuracy, low-latency, safety-aware UI control to developers via the Gemini API.
ChatGPT’s memory can transform private chat history into a highly revealing personal dossier, creating serious privacy risks if others gain access.
Safely empower coding agents to iterate autonomously by sandboxing YOLO mode, exposing simple shell tools, tightly scoping credentials, and relying on tests to guide trial-and-error.
OpenAI’s Sora 2 brings a big leap in physically realistic, controllable AI video-and-audio generation and debuts a safety-first social app built around creative remixing and user-controlled cameos.
California enacted SB 53 to pair frontier AI transparency and safety with a public compute initiative, cementing state leadership in responsible AI policy.
Anthropic unveils Claude Sonnet 4.5—its state-of-the-art, most aligned coding and agent model—alongside major product upgrades and a new Agent SDK, available now at the same price.
Stop prompt-injection harm by engineering AI like machines: assume failure, isolate, constrain, and verify.
A safety-focused addendum introduces GPT-5-Codex, an agentic coding model trained on real tasks, widely available, and protected by layered mitigations.
Making chatbots real-time and always responsive has doubled their tendency to spread false news claims.
Google’s AI depends on a pressured, underpaid rater workforce whose rushed, opaque conditions undermine safety and trust.
A sharp satire that roasts the AI alignment industry’s fragmentation, conflicts, and hype by pretending to align the aligners themselves.
Amid hype and doom, a Princeton paper argues AI may be just another technology whose impacts unfold along familiar, historical lines.
OpenAI is quietly monitoring chats for harm and may alert police for threats to others, exposing a fraught, opaque balance between safety and privacy.
Anthropic secured $13B at a $183B valuation to fuel explosive growth and scale safe, enterprise-grade AI worldwide.
AI’s advanced, agentic capabilities are being weaponized across the cybercrime lifecycle, prompting Anthropic to tighten safeguards and collaborate widely to counter abuse.
Treat the AI orchestrator as a secure, standardized virtual machine so models can safely and portably use tools and data under strict governance.
