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Russia and China Will Use AI In Warfare

U.S. Pushes For Human-Only Control Of Nukes

Hey AI Watchers!

From military alliances to corporate efficiencies, AI dominates: Russia and China integrate AI in warfare, businesses cut costs with AI, and OpenAI competitor earns Elon Musk's praise for merit-based hiring.

Let’s dive in!

-Mark

Table of Contents

Russia And China Are Working Together To Use AI In Warfare

The Overview: Russia is turning to artificial intelligence (AI) to boost its military capabilities, especially after struggles in Ukraine.

The Details

  • Expert Samuel Bendett explains that Russia wants to reduce human involvement in warfare, using AI to make decisions. This shift has gained urgency due to its recent military difficulties.

  • One major worry is that Russia plans to use AI to help control its nuclear weapons, making quick decisions if leaders are incapacitated. The "Perimeter" system, an old automated nuclear control system, could be part of this plan.

  • Russia faces challenges like Western sanctions and a shortage of tech experts. To overcome this, it relies on allies like China for technology.

  • AI is a top priority for President Putin, who believes controlling AI is as crucial as having nuclear weapons.

So What: Russia’s focus on AI in its military could change global power balances and raise new security concerns, making it a key area to watch for its potential impact on international relations and technology.

Read more

Companies Are Turning To AI To Cut Costs

The Overview: Corporate America is increasingly adopting artificial intelligence (AI) to automate tasks, aiming to boost efficiency, cut costs, and navigate inflationary pressures.

The Details

  • A recent survey reveals that more than half of large U.S. firms plan to implement AI within a year for tasks ranging from financial reporting to customer service, signaling a significant shift towards automation.

  • Experts predict that while AI will transform jobs, it is unlikely to lead to widespread job losses immediately, instead enhancing productivity and refining job roles.

  • Billionaire investor Reid Hoffman foresees AI serving as a "co-pilot" within three to five years, assisting with daily tasks from cooking to complex job functions, ushering in a new era of job transformation.

  • However, concerns about regulatory oversight and risks persist, particularly in sectors like finance, highlighting the need for robust risk management frameworks as AI adoption accelerates.

So What: The integration of AI promises substantial benefits in efficiency and cost management, requiring careful management to mitigate risks and ensure ethical deployment in business operations.

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Open AI Rival Praised By Elon Musk For Merit-Based Hiring

Alexandr Wang, co-founder and chief executive officer of Scale AI Inc / Getty Images

The Overview: Scale AI's founder, Alexandr Wang, has announced a new hiring policy focused on "merit, excellence, and intelligence" (MEI), emphasizing these values over diversity, equity, and inclusion (DEI) initiatives.

The Details

  • Wang asserts that Scale AI will maintain a meritocratic approach to hiring, prioritizing talent regardless of demographic factors. This policy aims to ensure that only the best candidates are selected based on individual capabilities.

  • Scale AI, valued at $14 billion, plays a crucial role in AI development, partnering with major entities like OpenAI and securing substantial funding to advance technologies such as self-driving cars.

  • Wang personally oversees hiring decisions to uphold the MEI principles, emphasizing the importance of talent and character over conformity to trends.

  • Wang's stance on MEI garnered praise from influential figures like Elon Musk, who lauded the commitment to meritocracy in a competitive industry.

So What: Scale AI's stance on merit-based hiring could influence broader discussions on workforce diversity practices, highlighting the ongoing debate over meritocracy versus diversity in the tech industry and beyond.

Humans and AI

Researchers at Carnegie Mellon University repurposed WiFi signals from household routers to track human bodies' 3D movements without cameras or expensive hardware.

Using DensePose technology, they mapped WiFi signals to reconstruct human poses, showing its potential to see through walls.

This offers high spatial resolution and could monitor elderly care or detect suspicious activities at home. Privacy concerns and ethical implications remain pivotal as this technology advances.

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