Google’s notorious AI Overviews feature appears to have finally gotten it right — but for all the wrong reasons. As flagged on Bluesky, if you ask Google why its own search engine feels so useless lately, the company’s AI feature will provide multiple and excoriating reasons — including brutal attacks against itself, Google’s much-maligned AI

Content warning: this story discusses self-harm, suicide, and other disturbing topics. As AI chatbots based on large language models (LLMs) become increasingly ubiquitous, it’s becoming undeniable that they can worsen — and perhaps even precipitate — mental health crises among users. Back in June, a team of Stanford researchers found that chatbots like ChatGPT and Claude were

AI companies are pouring so much money into AI, experts are starting to warn that it may be propping up the entire US economy. As investor Paul Kedrosky told the Wall Street Journal, spending on AI infrastructure has already eclipsed spending on telecom and internet infrastructure during the dot-com crisis over two decades ago, raising

Former CNN anchor and chief White House correspondent Jim Acosta drew near-universal criticism for conducting an astonishingly tone-deaf “interview” with an AI avatar of one of the victims of the 2018 Parkland school shooting. On Monday, Acosta aired a clip of him speaking to the AI, which was reportedly created by his parents, to send

Months after OpenAI was warned about the potential psychological harms ChatGPT can cause for its users — particularly those predisposed to mental health struggles — the company says it’s rolled out an “optimization” meant to calm the fears of mental health experts who have become increasingly alarmed about the risks its software poses. Yesterday, the

Watch VeriTrail Explainer Many applications of language models (LMs) involve generating content based on source material, such as answering questions, summarizing information, and drafting documents. A critical challenge for these applications is that LMs may produce content that is not supported by the source text – a phenomenon known as “closed-domain hallucination.”1 Existing methods for

Today, we are excited to introduce an autonomous AI agent that can analyze and classify software without assistance, a step forward in cybersecurity and malware detection. The prototype, Project Ire, automates what is considered the gold standard in malware classification: fully reverse engineering a software file without any clues about its origin or purpose. It

AI-driven supply chain platform Lyric has secured $43.5 million in Series B funding. The round was led by Insight Partners, with support from Primary Venture Partners, Permanent Capital Ventures, VMG Partners, PSP Growth and NewBuild Venture Capital. The new capital comes on the heels of significant momentum for the Sunnyvale-based startup. Since emerging from stealth

LayerX Security, the leader in protecting organizations against malicious browser extensions, has integrated its industry-leading extension risk scoring directly into Chrome for Enterprises. This new integration will enable Chrome Enterprise customers to get real-time visibility of the threat profile of every Chrome extension installed in their environment and restrict risky extensions. For each extension, LayerX’s

H2O.ai Sees 300% Revenue Surge in Asia Pacific, Expands Team to Meet Soaring Enterprise AI Demand Across the Region H2O.ai, the world’s leading Agentic AI company, today announced the appointment of Jamie Lim as vice president of Partnerships for the Asia Pacific (APAC) region. Lim, an award-winning channel leader, brings over 15 years of experience