mRNA Cancer Vaccine: How Moderna Used AI to Personalize a Treatment That Succeeded in Phase 3

mRNA cancer vaccine concept showing AI-personalized neoantigen targets emerging from a glowing DNA strand

A personalized mRNA cancer vaccine has just crossed a line cancer researchers have been trying to reach for years. On August 19, 2026, Moderna and Merck announced that intismeran autogene, a made-to-order mRNA treatment combined with Keytruda, met key efficacy endpoints in a large Phase 3 melanoma trial. It reduced the risk of cancer returning … Read more

Claude Protein Design: Binders for 14 of 15 Targets, What the 35% Hit Rate Really Means

Claude Protein Design concept image showing an AI-generated protein ribbon structure representing binder discovery

Protein design has spent the last few years becoming dramatically better at generating plausible molecules. Anthropic’s new result asks a different question: can a general-purpose AI agent run the whole campaign, make the design decisions, operate specialist models, and hand scientists a ranked set of proteins that actually bind in the lab? The answer, at … Read more

GLM 5.3 Review: How Post-Training Unlocked Huge Coding Gains and a Cybersecurity Surprise

GLM 5.3 feature image showing an AI model core reshaped by post-training for coding and cybersecurity gains

GLM 5.3 is interesting for a reason that has little to do with another model topping another chart. Z.ai says its new flagship uses the same base model as GLM-5.2, yet it makes large jumps on coding, agentic, and cybersecurity evaluations. The company says the difference comes entirely from scaling post-training, not from another foundation-model … Read more

Stealing Reasoning: How Smaller AI Models Exposed Claude, GPT and Gemini’s Hidden Chain-of-Thought

Stealing Reasoning cover image showing hidden AI chain-of-thought leaking from a sealed data block to a smaller model.

AI companies have spent years making their best reasoning models harder to imitate. One increasingly important defense is simple in principle: don’t show users the model’s full chain of thought. A new paper, Stealing Reasoning Traces from Proprietary LLM APIs, found a surprisingly indirect way around that protection. Researchers discovered that encrypted reasoning blocks produced … Read more