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THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR

HELIX 2.5: ZERO-SHOT 30-HOME GENERALIZATION

Helix 2.5 is an advanced neural network pretrained on Index, Figure's global-scale dataset of human behavior. It can tidy living rooms, fold towels, and make beds in homes it has never seen. The model is the first evidence that whole-body intelligence can be learned from human experience and transferred to new scenarios. Index is now generating roughly 35 minutes of new human experience every second - if Helix 2.5 is any guide, more data and compute should translate directly into more of the physical world learned before a robot ever enters a new home.

HOW SPACEX STREAMLINED THE RAPTOR ENGINE

The differences between the versions of the Raptor rocket engine are stark. Many people initially didn't believe SpaceX when the company released a picture of the three generations of the design. The streamlining of the design also brought meaningful gains in performance - the Raptor 3 provides about 35% more thrust than the Raptor 1. This article looks at what specifically SpaceX changed that allowed it to take the Raptor from a tangle of wires and pipes into the svelte, streamlined engine it is today.

THE STARTUP THAT BUILT OPENAI'S BIGGEST DATA CENTER IS NOW MAKING TINY ONES

Crusoe built one of the world's biggest AI supercomputers in Abilene, Texas. The company is now investing heavily in smaller data centers. It is manufacturing them in factories, loading them onto flatbed trucks, and deploying them wherever it can find available power. The company believes this is a faster and cheaper method than solely relying on large construction projects. Giant clusters with hundreds of thousands of chips are useful for training, but inference can be done with considerably smaller amounts of chips.

INSIDE THE WHITE HOUSE TUSSLE TO SWAY TRUMP ON AI

Anthropic's Mythos model sparked a shift within the White House as officials started realizing that AI can be used to launch cyberattacks and pose national-security threats. White House officials and AI executives are working on regulatory efforts, but when they disagree, the executives have gone directly to Trump. Trump has remained resolute that the nation needs to accelerate AI development and continue to build the data centers that are powering the AI boom.

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