⚡️ AI Thirst Trap

Good Morning. AI is frickin’ hot right now, but not in the way you’re thinking. It’s gulping down water—gallons and gallons of it. Let’s dive in.

Today's Highlights:

• Google allocates $20M for ethical AI development

• Tesla's AI chips leapfrog Nvidia

• Wharton study pits AI against MBAs

DEEP DIVE

AI's Staggering Water Consumption

It's no secret that training AI algorithms requires an insane amount of energy. Turns out, it needs an absurd amount amount of water too. Researchers from UC Riverside and UT Arlington have shared a paper titled "Making AI Less Thirsty" that investigates the environmental impact of AI training.

So, where is all this water going? To the server farms that support AI systems. As these systems execute complex calculations and algorithms, the servers heat up and require significant amounts of water to cool down. Let’s crunch some numbers:

• Microsoft consumed over 1.7 billion gallons of water in 2022—a 34% increase from last year.

• Google also reporting a 20% increase in water usage.

• ChatGPT uses roughly 500mL of water for every 5 to 50 prompts.

While the tech companies express their commitment to responsible water use, the fact remains—the demand for AI is growing and so is its thirst. As we marvel at the wonders AI brings, it's high time we ponder the water footprint it leaves behind.

Keep reading here.

PUNCHLINES

The New "Chip" on the Block: Tesla's AI chips are predicted to outpace Nvidia, spurring a 10% jump in TSLA.

AI vs MBA: Wharton study finds AI trumps MBA students in generating business ideas.

Algorithmic Bigotry: Experts raise concerns over the replication of human racial biases by AI systems.

Breaking the Code: Neuromorphic computing could pave the way for machines that adapt and learn on the fly, minimizing data and energy requirements.

Battle of the Bots: AI app Character.ai is catching up to ChatGPT in terms of mobile app usage in the US.

TLDR

Morgan Stanley pegs Tesla's Dojo supercomputer at $500B: Morgan Stanley Research predicts that Tesla's upcoming Dojo supercomputer could boost the automaker's valuation by $500 billion. Built to process large amounts of telemetry data from Tesla vehicles, it could facilitate revolutionizing vehicle software and create opportunities as an AI-as-a-service provider to other car manufacturers, especially in Full Self-Driving (FSD) capabilities.

Google allocates $20M for responsible AI development: Google unveils the Digital Futures Project, an initiative to consolidate diverse inputs in AI development. The project will utilize a $20M fund to encourage responsible AI creation. Organizations like Aspen Institute and MIT Work of the Future are the first fund beneficiaries.

OpenAI targeted by authors for copyright breach: A lawsuit has been filed against OpenAI by a group of authors who accuse the company of using their work without consent to train ChatGPT. This class action is part of an ongoing dispute over copyright infringement in AI training, with companies arguing their use of the sourced material is lawful.

Numenta announces neuroscience-based AI platform NuPIC: Numenta unveils the Numenta Platform for Intelligent Computing (NuPIC), designed to increase AI processing by up to 100 times. A partnership with Intel enables the system to lower LLM processing costs by utilizing CPUs. Ensuring data privacy and control, NuPIC operates within customers' infrastructures and provides a range of production-ready models.

TRENDING TOOLS

🧩 QuillO: Transform your data into knowledge graphs to inform content creation

📧 Seventh Sense: Heighten email marketing engagement with AI

🌐 DeepL: Business-oriented text and PDF translation tool

🔧 Second: Automate codebase migrations and upgrades using AI

🤖 Browse: Extract and monitor data from any website

That’s all for today—if you have any questions or something interesting to share, please feel free to reply to this email. We’d love to hear from you!

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