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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

ELON MUSK'S XAI ACTIVATES “MOST POWERFUL AI TRAINING CLUSTER IN THE WORLD” WITH 100K NVIDIA H100 GPUS

xAI has activated a supercomputer cluster comprised of 100,000 Nvidia H100 GPUs in Memphis, Tennessee. It is effectively the most powerful AI training cluster in the market today. The supercomputer is expected to be used to train Grok, the company's large language model. xAI is estimated to have spent about $3 billion to $4 billion on the project. xAI also recently announced that it is hiring to increase its human talent advantage.

HOW CONDITIONAL BREAKPOINTS WORK

Conditional breakpoints are often avoided due to their slow performance, even in modern debuggers like Visual Studio and raddbg, which can take seconds to evaluate simple loops. The primary reason for this slowness is the necessity for the debugger to stop and evaluate the condition each time the breakpoint is hit, causing a lot of overhead, especially in tight loops. Debuggers use methods like JIT compilation and in-process agents to handle the condition evaluation more efficiently, but these approaches still involve notable complexity and performance costs.

ALEXA IS IN MILLIONS OF HOUSEHOLDS—AND AMAZON IS LOSING BILLIONS

While hundreds of millions of customers own Alexa-enabled devices, Amazon's bet that people would spend meaningful amounts of money to buy goods on its platform by talking to the voice assistant hasn't paid off. Customers mostly use Alexa to set alarms and check the weather. Amazon has lost tens of billions of dollars on its devices business. The company will launch a paid tier for Alexa as soon as this month as part of the plan to reverse these losses.

CHINA UNVEILS WORLD'S 1ST MELTDOWN-PROOF NUCLEAR REACTOR WITH 105 MW CAPACITY

Researchers at Tsinghua University in China have successfully demonstrated a meltdown-proof nuclear fission reactor. The twin reactor design can generate 105 MW of power each. It can cool itself down without an external power source, reaching stable temperatures around 35 hours after shutdown. Construction of the facility started in 2016, with commercial operations beginning only in December last year. One drawback of the technology is that it can't be retrofitted onto existing nuclear reactors.

WE'RE BUILDING NUCLEAR SPACESHIPS AGAIN—THIS TIME FOR REAL

Powering spaceships using compact reactors could cut down Mars transit times by more than half. The technology also has military applications, with DARPA requesting a nuclear rocket demonstrator in June 2020. The Demonstration Rocket for Agile Cislunar Operations (DRACO) project aims to create space-based assets that can move quickly within space to deter strategic attacks by adversaries. This article discusses the DRACO project and the technologies that make it possible.

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