In production, hallucinations don’t show up as errors: they show up as responses people initially trust. This initial trust can be costly, however. What we’re seeing across real deployments is that hallucinations aren’t a single bug to fix. They’re a system-level behavior that emerges when a few things go wrong together: They don’t originate in the…
Catch up on every session from Generative AI Summit Washington, D.C., with sessions from the likes of OpenAI, US Bank, Meibel and more.
Robots are entering their GPT-3 era. For years, researchers have tried to train robots using the same autoregressive (AR) models that power large language models (LLMs). If a model can predict the next word in a sentence, it should be able to predict the next move for a robotic arm. However, a technical wall has…
How Stability AI is helping shape Austin’s practical approach to generative AI 💡 For many teams, the challenge is no longer whether to use large AI models, but how to use them responsibly, efficiently, and at scale (preferably without surprising the finance team!) In Austin’s growing AI ecosystem, where startups and enterprises alike focus on…
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline that logs prompt versions, prompt diffs, model outputs, and multiple quality metrics in a fully reproducible manner. By combining classical text metrics with semantic similarity…
State-sponsored hackers are exploiting AI to accelerate cyberattacks, with threat actors from Iran, North Korea, China, and Russia weaponising models like Google’s Gemini to craft sophisticated phishing campaigns and develop malware, according to a new report from Google’s Threat Intelligence Group (GTIG). The quarterly AI Threat Tracker report, released today, reveals how government-backed attackers have…
A while back, I was reviewing results from a new machine learning (ML) model that looked perfect on paper. Every metric glowed green – accuracy was up, predictions were faster, errors were down. But once the model powered real user experiences, something felt off… The results were impressive, but the experience didn’t feel better. The page was smarter but…
Barclays recorded a 12 % jump in annual profit for 2025, reporting £9.1 billion in earnings before tax, up from £8.1 billion a year earlier. The bank also raised its performance targets out through 2028, aiming for a return on tangible equity (RoTE) of more than 14 %, up from a previous goal of above…
Agentic AI offers insurance leaders a path to scalable efficiency as the sector confronts a tough digital transformation. Insurers hold deep data reserves and employ a workforce skilled in analytic decision-making. Despite these advantages, the industry has largely failed to advance beyond pilot programmes. Research suggests only seven percent of insurers have scaled these initiatives…
The UK Ministry of Defence (MOD) has selected Red Hat to architect a unified AI and hybrid cloud backbone across its entire estate. Announced today, the agreement is designed to break down data silos and accelerate the deployment of AI models from the data centre to the tactical edge. For CIOs, it’s part of a…