🧙🏼 AI's nuclear future

Howdy, wizards.

For the people out there doing UX work, Nielsen Norman Group just launched a GPT named Ari the UX Intern. Very knowledgeable on UX principles etc, and might give you some solid first drafts. It’s still AI though so use it combined with a healthy dose of common sense.

DARIO’S PICKS

1. Google turns to nuclear for its AI energy needs

The energy needed to support crypto and AI-related data storage is enough to power a small country – and could double in the next two years. AI is indeed consuming a staggering amount of energy, and is stressing the existing power grids. With goals of cutting emissions while energy usage increases, big tech is looking towards nuclear power. Microsoft is restarting the Three Mile Island energy plant. Amazon paid $650 million for a nuclear-powered data center in Pennsylvania earlier this year.

And now – Google announced a deal with nuclear startup Kairos Power to build seven small modular reactors in the US for its AI data centers by 2030. These reactors use a molten-salt cooling system instead of water, and are apparently faster to build, safer and less reliant on large water sources.

‎ Why it matters‎ ‎ Experts have been concerned that wind and solar energy are insufficient to meet the world’s rising energy demands—even before AI and ChatGPT were a thing. While nuclear power is far from risk free and produces radioactive waste, it’s unsurprising that tech companies are looking in this direction, as nuclear power stands out as a pragmatic option to obtain large amounts of reliable, low-carbon energy.

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DARIO’S PICKS

2. Three real-world use cases of AI in sales & marketing

AI is quickly changing the game of sales and marketing. Not the whole game (yet), mostly just the boring bits. I’ve found 3 companies in sales and marketing that leverage AI for big gains in research, content generation and content indexing.

• Clay has used both OpenAI and Anthropic’s models to power it’s AI sales tool, which automates outreach by identifying leads, enriching data, and generating personalized email messaging. This saves lots of hours of manual data work and improves the quality of outreach, increasing customer engagement and revenue while reducing costs.

• Copy.ai uses Claude for its GTM AI tool which helps with things like creating content in your brand’s voice, and gathers statistics to back up and fact check content claims. They claim cost reductions of 75% and increase in content output by 4x. They’re also using Lamini LLM (a platform for tuning and deploying LLMs) with Meta’s Llama, to automate categorizing content for a Fortune 100 client.

• Wedia, a platform for companies to store and manage digital assets, leverages Claude via Amazon Bedrock to automate the creation of metadata for images and videos. It allows them to process 20-30,000 images per month, drastically reducing tagging time and supporting 20+ languages for their clients. They claim their clients have seen a 70% improvement in finding relevant images.

‎ Why it matters‎ ‎ After digging through lots of use cases, I have to say one of my favourite ones so far is Clay. I feel like AI really shines when it does away with tedious stuff and allows people to use their creativity and emotional understanding for the truly important, and enjoyable, parts of their work (in this case, talking to clients and making deals!).

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