Blog
Essays, technical explainers, and roadblock analyses on cross-disciplinary research, AI-powered science intelligence, and the future of scientific discovery.
HTS Magnets: The Technology Unlocking Compact Fusion Reactors
How REBCO high-temperature superconducting magnets let SPARC and ARC shrink fusion reactors while reaching 20-tesla fields.
Mechanistic Interpretability in 2026: Can We See Inside AI Models?
What mechanistic interpretability is, why it matters for AI safety, and what sparse autoencoders revealed about Claude and GPT-4 in 2026.
Psychedelic-Assisted Therapy in 2026: What the Evidence Actually Shows
Where psilocybin, MDMA, and ketamine research stands in 2026: what works, what remains uncertain, and the open mechanistic questions.
Why Large Language Models Hallucinate (And What Labs Are Doing About It)
The technical reasons LLMs fabricate facts, why scaling hasn't fixed it, and the 2026 state of RAG, grounding, and calibration research.
AI Alignment in 2026: The 10 Open Problems
A technical overview of the 10 hardest unsolved problems in AI research — from alignment and hallucination to embodied AI and data quality. Where we stand, what's changed, and why each problem matters.
10 Unsolved Problems in Nuclear Fusion (2026)
A clear-eyed look at the ten major engineering and physics challenges standing between today's fusion experiments and a working power plant. No hype — just the science.
How AI Detects Scientific Breakthroughs Before They Happen
A technical deep-dive into how DeepScience uses multi-agent AI architecture, cross-pollination detection, and Tree of Thoughts validation to identify high-impact scientific connections before the research community notices them.
The Science of Treatment-Resistant Depression: What We Know in 2026
A comprehensive look at treatment-resistant depression research in 2026 — from failed SSRIs to ketamine, psilocybin, brain stimulation, biomarkers, and computational psychiatry approaches.
What is Cross-Domain Research Intelligence?
Cross-domain research intelligence uses AI to find unexpected connections between scientific disciplines. Learn why the biggest breakthroughs happen at the intersection of fields — and how multi-agent systems detect them.