there’s many ways to optimize intelligence per watt — even outside of GPU architecture or improving data center power efficiency (PUE). we ran a fun experiment to see how @crusoeAI’s inference stack itself can save energy a layer above the silicon, and the results were pretty cool!
https://t.co/JmxszgJtol
We're about to enter a period where not reading or writing becomes as ubiquitous as smoking once was. We can hope people will eventually realize this is bad for them, as they did with smoking. But this is far from certain; the cost may not be as obvious.
same basic principles as context engineering, but applied to yourself. this is the crux of what people mean when they say they’re looking for “clarity of thought”
huge moat for humans right now is thought organization. this has always been true: the people who excel at problem decomposition, finding patterns where no one else sees them, and building the right taxonomy for a messy domain. AI exacerbates it though
even defining evals being so hot (from a recruitment perspective) is just a symptom of how hard it is to find people who can synthesize and structure their findings in a solid way
New open models ship fast. Ollama's developers expect them on day one.
@ollama runs that workload on NVIDIA Blackwell GPUs through Crusoe Managed Inference, in Crusoe Spark™ modular data centers in Nevada.
Signed deal to production: two weeks 👇 https://t.co/1yvvgsWzuy