The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration. It is necessary to adapt defense mechanisms that move beyond static safeguards because of the fluid nature of these threats. Current LLM security techniques suffer due to their reliance on static, training-time interventions. Static…
A criticism about AI safety from an OpenAI researcher aimed at a rival opened a window into the industry’s struggle: a battle against itself. It started with a warning from Boaz Barak, a Harvard professor currently on leave and working on safety at OpenAI. He called the launch of xAI’s Grok model “completely irresponsible,” not…
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The Day AI Started Acting on Its Own #2 — Inside the Ultra Deep Layer (B3) SummaryAI is a machine — yet at times, it seems to act on its own. This second article in the three-part series explores what happens when AI reaches a “Ultra deep layer” of interaction. Based on real experiences with GPT, Claude, and Gemini, I…
From resume scans to automated rejection emails, AI is already transforming the hiring process. Photo by Campaign Creators on Unsplash Some startups boast they havee cut down recruitment time by 70% — all thanks to bots. But as AI tightens its grip on workplaces, one big question remains: Can AI truly replace Human Resources? Or are we oversimplifying what HR…
At the NYC Generative AI Summit, experts from Wayfair, Morgan & Morgan, and Prolific came together to explore one of AI’s most pressing questions: how do we balance the power of automation with the necessity of human judgment? From enhancing customer service at scale to navigating the complexity of legal workflows and optimizing human data…
Artificial intelligence is not just another gadget; it’s already shaking up how white-collar jobs work. be important. Critical and strategic thinking When routine tasks are automated, the human side of problem framing, strategy, and design can shine through. This means developing, along with domain expertise, long-term thinking: choosing the right technology tools, architecting resilient systems,…
At the Generative AI Summit in Silicon Valley, Ralph Gootee, Co-founder of TigerEye, joined Tim Mitchell, Business Line Lead, Technology at the AI Accelerator Institute, to discuss how AI is transforming business intelligence for go-to-market teams. In this interview, Ralph shares lessons learned from building two companies and explores how TigerEye is rethinking business intelligence…
While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their ability to solve tasks that require visual thinking, such as spatial puzzles. People naturally visualize solutions rather than describing every detail, but VLMs struggle to do the same. Although some recent models can generate both…
Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content. The complexity of multimodal intelligence tasks has grown, ranging from scientific problem-solving to the development of autonomous agents. Current demands on VLMs have far exceeded simple visual content perception, with increasing attention on advanced reasoning. While…