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GenAI’s Impact on Science and Our Environment
Perplexity revenue skyrockets, Google AI overviews decline, OpenAI and JPMorgan Chase partner and more!
Everyday AI
August 09, 2024
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Outsmart The Future
Today in Everyday AI
7 minute read
🎙 Daily Podcast Episode: What would happen if we could use GenAI for recycling? We learn how GenAI can help recycle carbon emissions. Give it a listen.
🕵️♂️ Fresh Finds: Tech firms send letter to EU, Yelp revenue skyrockets with AI and how Verizon uses AI for internet outages. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: JP Morgan Chase partners with OpenAI, Perplexity sees huge revenue boost and Google AI Overviews takes a hit. For that and more, read on for Byte Sized News.
🚀 AI In 5: Here’s a simple ChatGPT hack to get better and more in-depth data analysis. See it here
🧠 Learn & Leveraging AI: We break down how GenAI is helping with recycling and what it means for our society. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about UK investigates Amazon, Apple Intelligence pricing, Mistral's new AI Agents and how to use Claude Projects. Check it here!
GenAI’s Impact on Science and Our Environment ♻️
When we think recycling, we might think of plastics.
Probably not Generative AI, right?
Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.
How do they do it?
And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?
James Daniell, VP of AI and Computational Biology at LanzaTech, joins us to answer these questions and more.
Join the conversation and ask Jordan and James questions on GenAI and recycling here.
Also on the pod today:
• How generative AI helps recycling 🔄
• Use and benefits of AI within LanzaTech 🏢
• GenAI solving environmental problems 🌎
It’ll be worth your 27 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Bardeen is an AI agent for your browser, Mystic.ai is an AI model loader and Felo is a multilingual AI answer engine.
OpenAI - There’s been a bunch of updates from OpenAI so here’s the rundown:
OpenAI has added a Carnegie Mellon professor to its board of directors.
OpenAI claims GPT-4o is a ‘medium’ risk
ChatGPT now allows free users to generate two images per day
AI in Government - Tech firms have sent a letter to the EU to ask for more time to comply with its AI Act.
Zoom - Zoom is now allowing users to generate AI virtual backgrounds.
AI Chips - Super Micro Computer’s CEO said it wants its data centers to reduce its carbon footprint.
Money in AI – Yelp is reporting that AI has helped skyrocket its revenue.
Read This – Here’s how Verizon is using AI to prevent internet outages.
AI in Society – Boston is installing AI stop lights powered by Google to reduce traffic.
1. JPMorgan Chase Teams Up with OpenAI for AI Assistant 🏦
JPMorgan Chase is shaking things up by rolling out its new AI assistant, LLM Suite, powered by OpenAI, to a staggering 60,000 employees for tasks like writing emails, summarizing lengthy documents, and problem-solving using Excel.
CEO Jamie Dimon believes this tech revolution could “augment virtually every job” at the bank, which employs 313,000 people, as they explore its capabilities across consumer banking, investment banking, and wealth management.
2. Perplexity AI Secures $250 Million Funding 💰
Perplexity AI has achieved an impressive seven-fold increase in monthly revenues and recently closed a significant $250 million funding round, boosting its valuation from $1 billion to $3 billion. The startup answered approximately 250 million questions last month, showcasing its rapid growth since launching just months after OpenAI's ChatGPT in November 2022.
While navigating challenges related to data-gathering practices, Perplexity plans to pivot its business model towards subscriptions and advertising, taking aim at Google’s dominance in the $300 billion search ad industry.
3. Google's AI Overviews Take a Major Hit 📉
Google's AI Overviews saw a staggering 124% drop in usage last month, plummeting from 747% to just 124% of search results, according to researchers at SE Ranking. The average length of these AI-generated snippets also shrank by almost 40%, dropping from 2,633 characters, which raises eyebrows about their effectiveness.
Users have voiced frustration over bizarre and incorrect answers, prompting Google to reconsider this feature after only two weeks of public availability.
4. Elon Musk’s X Pauses AI Data Scraping in Europe ⏸️
Elon Musk's platform, X, has agreed to halt the use of personal data from European users for training its AI chatbot, Grok, following pressure from Ireland’s Data Protection Commission (DPC). This decision comes in response to a court application by the DPC aimed at stopping X from processing data without user consent, showcasing the ongoing challenges tech companies face with privacy regulations.
The DPC plans to collaborate with other EU regulators to ensure compliance with the General Data Protection Regulation (GDPR).
5. Microsoft and Paige Unleash AI Models to Battle Cancer 🎗
In a groundbreaking reveal, Microsoft and Paige have dropped the Virchow2 and Virchow2G AI models, boasting a whopping 18 billion parameters to tackle cancer diagnosis with precision! These models are trained on a massive dataset of three million pathology slides from 225,000 patients across 45 countries, making them a game changer for pathologists everywhere.
With the ability to identify cancer in 40 different tissue types, this tech not only promises to boost diagnostic accuracy but also paves the way for personalized medicine.
6. TSMC Soars High on AI Demand 🚀
Taiwan Semiconductor Manufacturing Co. (TSMC) just dropped a jaw-dropping 45% revenue increase in July, hitting NT$256.95 billion ($79 billion) and sending analysts into a frenzy over its potential to shatter expectations this quarter!
The chip-making giant, a key player for tech titans like Nvidia and Apple, is banking on high-performance computing and AI to keep the cash rolling in, with 52% of its revenue linked to AI last quarter.
A Simple ChatGPT Hack For Better Data Analysis!
If you want the most out of ChatGPT, here’s a hack to get better info out of Data Analysis.
Get better breakdowns of your data from spreadsheets and PDFs for more accurate data analysis with this hack.
Check out today's AI in 5.
🦾How You Can Leverage:
Think Generative AI and you probably don’t think about Gucci perfume.
Or tires. Or carbon recycling. Or fighting climate change.
But maybe you should.
If it were up to LanzaTech, that might be the lens through which we view Generative AI.
Because for certain companies, Generative AI can literally mean turning trash into treasures.
James Daniel gave us the blueprint.
James is the VP of AI and Computational Biology, a sustainable technology company that converts waste carbon into valuable products like sustainable aviation fuel or consumer goods.
So, literally turning trash into treasures.
Landfill junk into Gucci perfume.
By recycling carbon extracted from waste products above the ground, LanzaTech aims to reduce (or eliminate) the amount of carbon that needs to be extracted below the ground.
You know, that whole reduce, reuse, recycle thang we learned in 2nd grade?
And their approach is working. Their revenue is up. Productivity is up. And they’re making a difference to fight climate change.
One secret to their success?
Generative AI.
Don’t worry, their GenAI journey isn’t a secret locked up in a lab.
Here’s what you need to know:
1 – Your IP is everything 🔒️
James talked us through the process of how (and why!) LanzaTech created its own version of ChatGPT, dubbed internally as LanzaTech.
In short: LanzaTech has a LOT of knowledge, expertise and in-house intellectual property.
(You know, those smart scientists who somehow made trash smell like Gucci perfume? That secret sauce ain’t easy to reproduce.)
How much?
James said LanzaChat has more than 30,000 pages of internal knowledge base. All of those secrets, findings and expertise?
Now available to all. With the (proper) clicking and clacking of the keyboard.
Try this:
What’s it look like to turn your company’s domain expertise into a large language model?
Here’s a guide on how to fine-tune an open source model on your company’s data.
2 – Know your audience 👥
James droppin hot knowledge like a cat knocking stuff off the dresser at 3 AM.
This is a common problem we hear about at Everyday AI. Whether it’s companies who have their own models or companies just trying to get their employees to use GenAI, adaption can be low.
James said you have to flip the script.
Having a fine-tuned, custom model for your company isn’t a tech tool. It’s a people tool.
(Dude. Rocky if you knock over one more glass…)
You have to set up a safe place to learn and play.
You have to train and teach your people.
And you have to find wins.
(Not just throw tech jargon in an email and hope for the best.)
Did it work?
Yuuuuuuup.
James gave the example of a huge win from someone who wasn’t even a techy early adapter.
A painful documentation task that would normally take 3-4 months took only 6 days with LanzaChat.
Saving about 90% of your time on a daunting knowledge-task with GenAI?
Win.
Try this:
Still struggling to implement GenAI? A little jealous of LanzaTech’s big gains?
Don’t worry. Try this trifecta of episodes (in this order!) that’ll get you going down the right path:
3 – Accelerate and do more 🚀
Ready for more golden nuggets from James?
Well, we’ll mix it with one of our go-to sayings. Instead of ‘use GenAI to focus less on the mundane and more on the meaningful’ you can swap it out with mission.
James reiterated that LanzaTech isn’t just using AI to reduce tires and create more eco-friendly perfumes. They’re focused on a mission of fighting climate change.
He said, "AI accelerates the scientific process... if AI is a great accelerator of science, then that means we can do more science."
For LanzaTech, it’s a simple equation.
More AI = More science = More mission.
Try this:
How can you make that happen?
Humans need to drive. At times, AI can either be a rocket ship or a scapegoat. (Something broke? Oh, the LLM made me do it!)
James said that humans need to take an active role and not just drive AI, but also be the last line of defense and the ultimate owner of outcomes.
Try this:
Wanna do more?
Mission-focused?
This gem of an episode with Nathan Chappell packs more punch than Tyson-Holyfield
(Or your fave LLM like Claude, Gemini, Copilot, etc)
Now This …
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