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SpaceX's AI revenue grew more than three times to $2.6 billion from the year before, mostly because of deals that the company made to provide compute to other AI companies, according to SpaceX's quarterly earnings. The AI division, which the company said in its documents to go public was the source of most of its […]
SpaceX doubled its revenue compared to last year, according to its first quarterly earnings since going public in June.
Endeavour Optical Networks is planning to launch the fastest space laser communications system yet built.
The risk of more debris hitting the moon is on the rise as the space race heats up.
The orbiting observatory in minifigure scale.
A Louisiana launch site would offer several significant advantages.
If you want the best view of the 2026 solar eclipse, you'll need to travel to Spain or Iceland.
From how galaxies form to the beginnings of the universe, the images from the space telescope are giving cosmologists new data to explore—and theories to build out.
Everything you need to know about the solar eclipse and lunar eclipse that will occur in August 2026.
Despite a lawsuit from xAI, a Minnesota ban on apps that allow users to “nudify” images can move forward.
"We believe that a capture of Swift, an attempted capture of Swift, is very much in the cards."
A discovery in a solar system 73 light-years from Earth is challenging definitions and “blurring the lines between stars, planets, and moons.”
The impact will kick up a plume of debris so high, it’ll likely be visible through some telescopes. Astronomers will be watching.
SpaceX is building a new power plant for xAI's Colossus data centers, but it won't remove existing, unpermitted turbines for many more months.
Tesla had already reportedly prepped for the idea in the event that Beijing invades Taiwan.
"America won the first Space Race, and we can do it again."
"Dogfighting in space doesn’t quite have the drama of an aerial dogfight."
The latest discovery from NASA's Curiosity Mars rover is a field of honeycomb-shaped polygons covering a Martian valley called Valle Grande. As Gizmodo reports, Curiosity has snapped pictures of the unusual terrain texture before, called polygonal fractures, each about 1.5 to 3 inches wide, but NASA says it's previously only found them in small patches, […]
"We're feeling pretty good about that," Boeing CEO Kelly Ortberg said.
Anthropic published Verbalizable Representations Form a Global Workspace in Language Models on July 6, and the vocabulary it introduced is suddenly everywhere: J-space, the Jacobian lens, a global workspace inside Claude. Most of the discussion so far is about interpretability and alignment auditing, which is fair, since that is what the paper is about. I had a narrower and more mercenary question: can the workspace tell an inference runtime which parts of the KV cache it is safe to throw away? Three days after the paper landed, the first pre-registered gate on that question passed. As of this week the signal has replicated on three models and ships inside EVOKE , my KV cache memory manager built on a forked llama.cpp. This post covers what J-space is, why it makes a good KV cache eviction signal, the numbers across Qwen2.5-7B, Qwen3-8B, and Qwen3-4B, and the caveat that comes with them. What J-space is, in one paragraph The Jacobian lens is the instrument and J-space is the phenomenon. The lens isolates directions in a model's residual stream that encode a token the model could verbalize next, and those directions form a low-dimensional workspace: roughly 10% of activation variance, concentrated in the middle layers, carrying whatever the model is "holding in mind" at each position. Anthropic's headline application is alignment auditing, reading reasoning the model never voices. What makes independent work possible is that they released companion code under Apache-2.0 along with fitted lens matrices for open Qwen models on Hugging Face , so anyone can apply the lens to an open-weights model on a single GPU. The systems problem: KV cache eviction Every long-running LLM session eventually outgrows its KV cache budget. An agent session in a coding harness crosses tens of thousands of cached tokens within a few turns, and something has to decide which entries stay in GPU memory. The standard answers, H2O and SnapKV, rank cache blocks by accumulated attention history: k