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AI Cyberattacks Escalate: From Prompt Injection to State-Sponsored Hacks
Malicious actors are weaponizing AI models like Gemini and Claude, targeting both human-in-the-loop and autonomous systems with new attack methods.
Anthropic Launches Claude Opus 4.6 with 1 Million Token Context and Agent Teams
Anthropic upgrades Claude with a massive context window and collaborative AI agents, stepping up the fight against OpenAI in the enterprise developer arena. Is this a step toward AGI?
ASG-SI: A Framework to Secure and Govern Self-Improving AI
ASG-SI introduces an auditable skill graph to boost AI accountability, tackling reward hacking and behavioral drift.
Kimi AI Agent Linked to Malware in Dark Web Library
A Reddit user uncovered that Kimi, an AI coding agent, uses a dark web library harboring crypto-stealing malware, raising urgent AI security concerns.
Why Top AI Models Still Fail High School Geometry
GeoBench reveals that vision-language models like OpenAI-o3 aren’t reasoning through geometry—they’re just recalling answers.
OpenAI Introduces Ads to ChatGPT Free Tier, Ending Subsidized Growth Era
Facing soaring compute costs, OpenAI shifts from an ad-free model to advertising, balancing financial survival with user trust.
Civitai Marketplace Enables Deepfake Celebrity Porn, Study Finds
AI content marketplace Civitai, backed by Andreessen Horowitz, faces criticism for selling files that generate deepfake celebrity pornography, raising urgent ethical and legal questions.
PATHWAYS Benchmark Reveals Critical Reasoning Failures in Web-Based AI Agents
A new benchmark exposes how current web-based AI agents stumble on multi-step reasoning, often fabricating their decision process and falling prey to misleading information.
Google’s Gemini Claims 22% Market Share in Weeks—Is OpenAI Losing Its Grip?
A new report says Google’s Gemini grabbed nearly a quarter of the AI market in three weeks. We break down the numbers and the power behind this surge.
AI Interprets Brain MRIs: A Step Forward in Neurological Diagnosis
An AI model shows promise in reading brain MRIs, aiming to speed up diagnosis and improve outcomes. But can it match human radiologists?
Reinforcement Learning’s Stability Problem Gets a Mathematical Fix
MSACL applies 19th-century stability theory to modern AI, aiming to stop robots from spiraling into chaos. A crucial step toward safe robotics—if the math holds up beyond the lab.
Nvidia’s Blackwell: Betting Big on AI’s Hunger for Compute
Jensen Huang’s new chip aims to transform drug discovery and large language models. But with power limits and fierce rivals, is bigger always better?
RoboMIND 2.0 Releases 310,000 Trajectories to Fix Robot Clumsiness
A massive new dataset and the MIND-2 framework tackle the sim-to-real gap, giving dual-arm robots the data they need to stop fumbling.
AI Models Reveal Bias in Lung Cancer Risk Estimates
New research exposes significant disparities in AI lung cancer risk tools, spotlighting urgent fairness issues in healthcare.
New Study Reveals Risks in Automated Vehicle Crash Patterns
Analysis of 2,500+ AV crashes exposes safety challenges and calls for smarter policies.