Image Generation
Jun 27, 2026

The Gist
Predictable AI Training at Scale – First FLUX.1 MLPerf® on OCI’s 512 AMD GPUs. PCE Uses Multiple AI Agents to Catch Hallucinations. Insurers turn to generative AI for catastrophe modeling, but hallucinations and sales logic could get in the way
Today's Stories
- 1
Predictable AI Training at Scale – First FLUX.1 MLPerf® on OCI’s 512 AMD GPUs
Predictable AI Training at Scale – First FLUX.1 MLPerf® on OCI’s 512 AMD GPUs
- 2
PCE Uses Multiple AI Agents to Catch Hallucinations
A colleague has developed the Perseverance Composition Engine (PCE), which uses Artificial Organisations—multiple AI agents assigned specific roles—to work through tasks iteratively and catch problems such as confident false claims, hallucinations, or dangerous advice. The system assigns agents like a Composer and Corroborator, where the Corroborator verifies claims against source documents. Current large AI companies attempt to reduce hallucination through better training and instruction, but research suggests hallucination may be a fundamental mathematical inevitability in language model architecture. PCE takes a different approach by building organizational structure (separation of duties, independent checks, persistent knowledge bases) to contain and correct inevitable errors rather than eliminate them at the source.
The core research code is available for daily use. The system addresses three failure modes—hallucination, context issues (where models lose information when context windows fill up), and memory issues (where AI forgets between conversations)—by using a persistent, indexed knowledge base (the Curator agent) and enforced role-based agents that operate from a quality prior of documents rather than guessing from scratch.
- 3
Insurers turn to generative AI for catastrophe modeling, but hallucinations and sales logic could get in the way
Insurers turn to generative AI for catastrophe modeling, but hallucinations and sales logic could get in the way
- 4
We're rebuilding financial services with AI
We're rebuilding financial services with AI
- 5
Bernie Sanders Wants a U.S. Sovereign Wealth Fund for AI
Bernie Sanders Wants a U.S. Sovereign Wealth Fund for AI
- 6
The Tokenpocalypse:Companies Are Scrambling to Stop Spending So Much on AI
The Tokenpocalypse:Companies Are Scrambling to Stop Spending So Much on AI
What to Watch
The core research code is available for daily use. The system addresses three failure modes—hallucination, context issues (where models lose information when context windows fill up), and memory issues (where AI forgets between conversations)—by using a persistent, indexed knowledge base (the Curator agent) and enforced role-based agents that operate from a quality prior of documents rather than guessing from scratch.
Sources
- Predictable AI Training at Scale – First FLUX.1 MLPerf® on OCI’s 512 AMD GPUs
- The biggest problems in using AI
- Insurers turn to generative AI for catastrophe modeling, but hallucinations and sales logic could get in the way
- We're rebuilding financial services with AI
- Bernie Sanders Wants a U.S. Sovereign Wealth Fund for AI
- The Tokenpocalypse:Companies Are Scrambling to Stop Spending So Much on AI
- Singapore Tops Global per Capita Usage of Anthropic's Claude AI
- Show HN: Drudgereport but for AI
- The running list: major tech layoffs in 2026 where employers cited AI
- Enterprise-grade AI image generation in 2 seconds is here: Krea 2 Raw and Turbo available as open weights under custom license
Share this with a friend
Send today's roundup to anyone who wants to keep up.
Get daily AI news free with AIToday
200+ AI sources, summarized in 1 minute. Email / LINE / Slack.
Sign up free