Notice the palm profile in the image: @XSquareRobot matched the active and passive DoF split across the wearable and mounted hand so contact mechanics match during robot-free data collection. #TwinDEX keeps the nine DoF geometry identical.
anthropic's moat just got a lot smaller...
researchers across NUS, Stanford, Oxford, and Princeton built on anthropic's own agent-skill format, then showed the format alone isn't what does the work.
the number that stands out:
an agent with every skill dumped straight into its context scored 65.6% on a long-horizon retail task.
the same agent, the same skills, but with a working memory deciding which one to invoke and when, hit 83.6%. same skill library, 18 points apart.
different setup than what i wrote about, but the same underlying idea: having the skill isn't the unlock, knowing when to reach for it is.
wrote the full guide on doing this with everything you already know: books, docs sites, videos, the open web, your own notes.
full article below 👇
@EscolaCatalonia Gran profesor, enorme persona, increíble en todos los aspectos, Ginés te vamos a echar muchísimo de menos dejas un vacío enorme en todos nosotros