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How to Implement Tool Calling with Gemma 4 and Python

TITLE AI's Growing Pains: Expert Divide, Energy Consumption, and Rapid Progress SUBTITLE Stanford's AI Index highlights a widening gap between insiders and the public, while AI development surges forward with significant energy costs.

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TITLE AI's Growing Pains: Expert Divide, Energy Consumption, and Rapid Progress SUBTITLE Stanford's AI Index highlights a widening gap between insiders and the public, while AI development surges forward with...

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What Happened

The Stanford AI Index report reveals a widening gap between experts and the public, with rising anxiety over jobs, healthcare, and the economy. The...

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The Stanford AI Index report reveals a widening gap between experts and the public, with rising anxiety over jobs, healthcare, and the economy. The report also notes that the US is leading the charge in AI development, hosting over 5,400 data centers, more than 10 times the number of any other country. Furthermore, the report highlights the concentration of AI chip fabrication in a single company, TSMC, making the global AI hardware supply chain dependent on one foundry in Taiwan.

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The rapid progress in AI development is not only transforming industries but also raising concerns about its impact on society. The growing divide...

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The rapid progress in AI development is not only transforming industries but also raising concerns about its impact on society. The growing divide between experts and the public is a pressing issue, as it can lead to misunderstandings and mistrust. Moreover, the significant energy consumption of AI data centers, which can now draw 29.6 gigawatts of power, raises concerns about the environmental sustainability of AI development.

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What Experts Say

The AI industry is sprinting, and the rest of us are trying to find our shoes." — Source, Stanford AI Index report

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"The AI industry is sprinting, and the rest of us are trying to find our shoes." — Source, Stanford AI Index report

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29.6 gigawatts: The power consumption of AI data centers worldwide.

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  • **29.6 gigawatts: The power consumption of AI data centers worldwide.

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The AI Index report is an annual roundup of key results and trends in the field of AI. This year's report highlights the rapid progress in AI...

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The AI Index report is an annual roundup of key results and trends in the field of AI. This year's report highlights the rapid progress in AI capabilities, including the development of tool-calling agents like Gemma 4 and the application of physics-informed machine learning in areas like NVIDIA PhysicsNeMo.

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What Comes Next

As AI continues to advance, it is essential to address the growing divide between experts and the public. This can be achieved through education and...

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As AI continues to advance, it is essential to address the growing divide between experts and the public. This can be achieved through education and awareness programs, as well as by promoting transparency and accountability in AI development. Furthermore, the industry must prioritize environmental sustainability and work towards reducing the energy consumption of AI data centers.

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Impact: Highlights the growing divide between AI experts and the public, and the significant energy consumption of AI data centers.

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  • Impact: Highlights the growing divide between AI experts and the public, and the significant energy consumption of AI data centers.

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5 cited references across 3 linked domains.

  1. Source 1 · Fulqrum Sources

    How to Implement Tool Calling with Gemma 4 and Python

  2. Source 2 · Fulqrum Sources

    Stanford report highlights growing disconnect between AI insiders and everyone else

  3. Source 3 · Fulqrum Sources

    Why opinion on AI is so divided

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How to Implement Tool Calling with Gemma 4 and Python

**TITLE** AI's Growing Pains: Expert Divide, Energy Consumption, and Rapid Progress **SUBTITLE** Stanford's AI Index highlights a widening gap between insiders and the public, while AI development surges forward with significant energy costs.

Monday, June 15, 2026 • 3 min read • 5 source references

  • 3 min read
  • 5 source references

TITLE AI's Growing Pains: Expert Divide, Energy Consumption, and Rapid Progress

SUBTITLE Stanford's AI Index highlights a widening gap between insiders and the public, while AI development surges forward with significant energy costs.

EXCERPT The latest AI Index report from Stanford University reveals a growing disconnect between AI experts and the general public, with rising anxiety over jobs, healthcare, and the economy, amidst rapid advancements in AI capabilities and significant energy consumption.

CONTENT

The field of Artificial Intelligence (AI) is experiencing unprecedented growth, with breakthroughs in areas like tool-calling agents, physics-informed machine learning, and neural networks. However, this rapid progress is not without its challenges. A recent report from Stanford University's Institute for Human-Centered Artificial Intelligence highlights a growing disconnect between AI insiders and the general public.

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Deep multi-angle story
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7 reporting sections
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Key Facts

What Happened

The Stanford AI Index report reveals a widening gap between experts and the public, with rising anxiety over jobs, healthcare, and the economy. The report also notes that the US is leading the charge in AI development, hosting over 5,400 data centers, more than 10 times the number of any other country. Furthermore, the report highlights the concentration of AI chip fabrication in a single company, TSMC, making the global AI hardware supply chain dependent on one foundry in Taiwan.

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Why It Matters

The rapid progress in AI development is not only transforming industries but also raising concerns about its impact on society. The growing divide between experts and the public is a pressing issue, as it can lead to misunderstandings and mistrust. Moreover, the significant energy consumption of AI data centers, which can now draw 29.6 gigawatts of power, raises concerns about the environmental sustainability of AI development.

What Experts Say

"The AI industry is sprinting, and the rest of us are trying to find our shoes." — Source, Stanford AI Index report

Key Numbers

  • **29.6 gigawatts: The power consumption of AI data centers worldwide.

Background

The AI Index report is an annual roundup of key results and trends in the field of AI. This year's report highlights the rapid progress in AI capabilities, including the development of tool-calling agents like Gemma 4 and the application of physics-informed machine learning in areas like NVIDIA PhysicsNeMo.

What Comes Next

As AI continues to advance, it is essential to address the growing divide between experts and the public. This can be achieved through education and awareness programs, as well as by promoting transparency and accountability in AI development. Furthermore, the industry must prioritize environmental sustainability and work towards reducing the energy consumption of AI data centers.

Key Facts

  • Impact: Highlights the growing divide between AI experts and the public, and the significant energy consumption of AI data centers.

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MIT Technology Review

Why opinion on AI is so divided

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Want to understand the current state of AI? Check out these charts.

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Stanford report highlights growing disconnect between AI insiders and everyone else

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machinelearningmastery.com

How to Implement Tool Calling with Gemma 4 and Python

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marktechpost.com

A Step-by-Step Coding Tutorial on NVIDIA PhysicsNeMo: Darcy Flow, FNOs, PINNs, Surrogate Models, and Inference Benchmarking

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Emergent News uses automated assistance to gather, compare, and summarize coverage from 5 cited sources. Review the source list below before relying on the story.