😺 Employees vs. Employers

Welcome, humans.

Which will emerge first: AGI or aliens? We think AGI … which will eventually help us discover aliens. 👽

Here’s what’s going on in AI today:

• Leaders are way more likely to be using AI at work.
• ChatGPT announced big upgrades to its APIs.
• Accenture is investing $3 billion into AI over three years.
• 77% of devs use AI tools, but only 3% of devs “highly trust” them.

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Employers vs. Employees In AI 🚍

BCG just conducted one of the most comprehensive AI studies yet, surveying 13,000 people, from execs to minimum-wagers, in over 18 countries. Rumor has it that every surveyee was also rejected from their summer internship program.

The key insight is not that people have begun using AI at work (over 50% already are), but the disparity in who’s making the most of it.

Namely, 80% of leaders are using generative AI at work, compared to just 20% of frontline employees. Damn, talk about an imbalance.

And that’s not all. Frontline employees (i.e., interact with customers) are:

• 2x more likely to be concerned about AI.
• 3x less likely to have gone through upskilling.
• 2x less likely to think AI is being used responsibly.

Why it matters: While none of this comes as a real shocker, BCG does offer three recs for leaders to level the playing field.

1. Create spaces for all your employees to play around with AI.
2. Invest in upskilling. (Psst…invest in The Neuron courses when we drop ‘em).
3. Build responsible AI programs.

FROM OUR PARTNERS

How We’re Using Zapier & AI To Accelerate Learning

Every professional has that “thing” they must master to thrive.

For us, it’s AI jargon. But Generative Adversarial Networks (GAN) make our heads spin…

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1. Using Zapier interfaces, we instruct a chatbot to explain technical concepts like GANs to people without coding expertise.
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There are infinite other ways to make AI actionable at work.

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Big Upgrades To ChatGPT’s API 👇

OpenAI truly is the gift that keeps on giving shipping.

Yesterday, they announced major upgrades to their GPT-3.5 and GPT-4 APIs (API = the code developers borrow to add some zing to their products):

Function calling, which basically means enabling ChatGPT to talk to other computer programs vs. humans, Skynet-style.

Lower Prices: 75% code reduction for text embedding and 25% cost reduction for GPT-3.5 token inputs. Translation: building with GPT is wayyy more affordable.

Larger context windows (our fav): GPT-3.5 (the API) can now gobble up 20 pages of text inputs, and GPT-4 can support 40 starting June 27th.

This is a win for GPT, but also for the army of apps powered by GPT.

Why it matters: OpenAI keeps improving. With the API supporting huge context windows, it’s only a matter of time before everyday users can train ChatGPT on dozens of documents.

Around the Horn 🦄

• Paul McCartney will be releasing one final Beatles song using AI later this year.
• Accenture plans to invest $3 billion into AI development over the next three years, along with having 80,000 employees working on AI projects.
• Google is postponing its launch of Bard in the EU amid privacy concerns from regulators.
• Adobe is integrating Firefly’s Generative Recolor tool into Illustrator.
• A Stack Overflow survey found that 77% of developers are ready to use AI but only 3% “highly trust” AI coding tools.
• AMD previewed the capabilities of its new flagship GPU “Mi300X” which can handle large LLMs.

Treats To Try 🍿

• FinGPT is an open-source tool that refines language models to analyze and predict financial trends.
• Bito brings ChatGPT capabilities to IDE and CLI to help you code.
• Framer lets you design and publish a website in seconds from text prompts. ← This one’s good!
• Receiptor lets you extract receipts and invoices from emails using AI.
• Smart document startup Coda’s AI work assistant is now available.
• DreamGPT encourages hallucinations from ChatGPT to produce innovative results.

We curated all the tools you need for work in our “Top Tools For Business”!

Wednesday Wirings 💸

1. Mistral, France’s OpenAI equivalent, raised $113 million in seed funding (!) and plans to release its models in 2024.
2. Synthesia, which creates scarily real AI avatars for professional videos, raised a $90 million Series C.
3. Elise AI, a conversational AI designed for real estate, snagged $35 million in funding.
4. Striveworks raised $33 million to help companies build, train, and deploy models at scale.
5. Vectara raised a $28.5 seed round for its “conversational search” that helps enterprises sort through corporate data.

A Cat's Commentary 😻

That's all we have for today. See you cool cats on Twitter if you're there: @nonmayorpete & @noahedelman02.