Three days after Anthropic launched its most capable model ever, they pulled it. Not because it broke, but because the U.S. government said so. Claude Fable 5 went live on June 9, 2026, Anthropic’s first “Mythos-class” model made available to the public, a full tier above what had previously been its best generally available offering. […]
By Vekt AI | May 2026 A Pizza Hut franchisee is suing its parent company for $100 million. Not because the AI hallucinated. Not because a chatbot said something offensive. The AI worked exactly as designed, and that was the problem. Chaac Pizza Northeast, which operates more than 110 Pizza Hut locations across New York,
Google Search Console Now Shows You If AI Is Using Your Content Read More »
A Pizza Hut franchisee is suing its parent company for $100 million. Not because the AI hallucinated. Not because a chatbot said something offensive. The AI worked exactly as designed, and that was the problem. Chaac Pizza Northeast, which operates more than 110 Pizza Hut locations across New York, New Jersey, Maryland, Washington D.C., and
Intelligence with Integrity: Vekt at the 2026 AI Global Summit We recently delivered a keynote at the AI Global Summit in Bucharest, mapping out how the motor trade can stop playing with “toy” AI and start deploying high-velocity, autonomous operations. The session moved past the hype to show how dealerships and manufacturers can turn heavy
By 2026, generative AI has effectively commoditized the drafting phase of technical work. Whether it is a Python script, a structural model, or a licensing instruction, the machine can now produce a “first pass” in seconds. The bottleneck for small businesses has shifted from Production to Verification. At VektAI, we view this as the transition
Why Generative AI “Sense-Making” is the New Minimum Viable Skill Read More »
Why Testing AI In 2026 Is Different—and Riskier—Than Traditional Software Traditional software fails in predictable ways: a bug crashes the app, wrong calculation, broken link. AI systems, especially large language models (LLMs) and generative agents, fail in unpredictable, creative ways. They can produce outputs that are fluent, confident, and completely wrong—or worse, harmful. The hallucinations
Red-Teaming AI: How Labs Avoid Catastrophic Failure in 2026 Read More »
The Persistent Challenge in Large Language Models Large language models (LLMs) like those powering ChatGPT, Claude, and Gemini have transformed how we interact with information. Yet one issue remains stubbornly present: hallucinations — confident, plausible-sounding outputs that are factually incorrect or entirely fabricated. As of February 2026, hallucinations have not been eliminated. Leading models show
