Energy

JWST found a sulfur paradox in four gas giants 129 light-years away — a star depleted in sulfur hosts planets enriched in it, and nobody can explain why. The data is real, the gradient is tentative, and it matters for whether our solar system is typical.

The Space Force paid Turion $32.6M for three satellites before the startup had the capital to build them. Now it has raised $75M more to scale from 8 vehicles a year to 40 — and the government is counting on it.

DESI finished its 5-year cosmic map 13 months early — 47M galaxies vs. 34M planned. The press release calls it a paradigm shift. The analysis that could produce one arrives in 2027. Until then, LambdaCDM — 30 years of standard cosmology — is still standing.

The 49 Wh/kg figure at six-minute charge is real — but a phone battery stores four times more energy per kilogram. GMG is not targeting your phone. It is targeting the heavy equipment market where a six-minute pit stop beats a one-hour charge and downtime is the enemy.

GMG says 6-minute charge. The real number is 3.2 minutes for 62% — and that is the entire pitch.

The paper proposing to find life via planetary statistics is peer-reviewed. Its catch: astronomers first need a catalog of what dead planets look like, and that baseline does not exist yet. JWST is working on it — three to five years.

ESA Proba-3 measured slow solar wind at 250-500 km/s — 3-4x faster than models predicted. The K-corona was supposed to be slow. ASPIICS says otherwise. Space weather forecasting now needs to account for it.

Hyperscalers are designing chips with AI tools at 15-85% higher productivity than traditional EDA vendors can match — and that gap is Nvidia's problem.

A laser pushed on a piece of graphene foam in a lab and barely moved it. Then they did it in microgravity and the thing shot 30 times faster. The reason, researchers say: Earth’s gravity was hiding the real numbers from every lab on the planet.

The UK told Parliament twice: a severe solar storm is a 5-25% risk within five years, it has no satellites to see one coming, and no plan to respond. The NAO documented all of it. Nothing changed.

In agentic AI, the bottleneck is CPU tool processing — causing up to 90.6% of total latency, not GPU inference. Both Arm and Nvidia launched CPUs for this orchestration layer in the same month. The GPU-centric infrastructure model may be structurally incomplete.