While Elon Musk's mom is busy protecting him from a brawl with Mark Zuckerberg, we at A.Team have been stirring up our own excitement.
This past weekend, at our second Enterprise Generative AI Hackathon with OpenAI & Baseten, we saw nine teams of AI builders craft prototypes that would make even Musk and Zuckerberg pause their squabble.
From a 3D Architect AI tool to a storybook generator for hospitalized children, the innovation on display was nothing short of mind-blowing.
Now, our esteemed judges are in the process of picking a finalist, and that team will be demoing live at Tech Chicago Week to over 5000 tech leaders on the Navy Pier Main Stage!
We're already on the hunt for Enterprise Advisors for our next hackathon, so forget the tech titan tiffs — if you’re interested in pushing the boundaries of what's possible with AI — the real action is happening right here.
CHART OF THE WEEK
Ex-FAANG Engineers Are Ditching Full-Time Work
Big Tech layoffs impacted historically untouchable roles in engineering, the SignalFire State of Talent Report found, and the majority of them are not being rehired.
Of the 34% who did get rehired, 28% shifted to another of the five biggest tech companies, while 6% went to early-stage startups.
Last fall, we surveyed 500 knowledge workers about their attitudes towards full time employment. Eighty-eight percent of those laid off said that the recent waves of layoffs have made freelance work more attractive than before. Another 83% said they feel less secure committing to one employer.
This new data from SignalFire makes one thing clear: Things aren't going back to the way they were before.
CLIENT SPOTLIGHT
Chief: A TIME100 Most Influential Company of 2023
Through coaching, peer groups, and talks with people like Michelle Obama, Chief helps female and nonbinary executives get raises and promotions.
They've created a created a network effect, uniting thousands of leaders, and now TIME has named them one of the 100 most influential companies of 2023.
“We want to make sure that women leaders aren’t dropping out when they hit these positions of power,” says CBO and co-founder Lindsay Kaplan.
With a growing membership and flagship locations in NYC, LA, and Chicago, Chief brought in an A.Team to help to improve member engagement and experience, with innovative new features and smooth user interactions. A small, high-impact team deployed to support the technical design, implementation, and deployment of Chief's app.
The proof is in the pudding: A Chief member survey found nearly half had received a raise since joining.
GENERATIVE AI
How to Create a Generative AI Pilot Without Freaking Out Your Community
Even normally tech-averse family members are dabbling with AI.
"At Passover this year, my 75-year-old aunt used ChatGPT to come up with a modern take on the ten plagues of Egypt," quipped Joe Lazer, A.Team’s Head of Marketing, at the Generative AI Salon on June 17 co-hosted by Baseten and A.Team in New York City.
A.Team put three guests in the hot seat to share insights on how they’re getting to value with Generative AI.
Several key themes emerged:
1. Move Fast, Then Brake Things
Hackathons, where developers brainstorm and build products in a matter of days, have become vital in AI-powered product development.
But before you launch a tool widely, you must validate that there are no problematic biases in the AI’s methods or results—a tough order with a large language model that analyzes countless variables. There are questions of both quality, and perceptions of quality: "How do we roll this out so it doesn't freak out your community?"
Focus use cases on projects that have results that are verifiably correct or incorrect—for example, a concise SQL query that pulls data in a specific way—rather than more qualitative applications, like copywriting.
2. Keep it Simple
Start with simple applications and ready-made tools before getting truly ambitious.
Given AI’s already dizzying complexity, limit the variables you supply a model, especially in new use cases. A "triage prompt"—a generalized ChatGPT prompt that helps break down a complicated process into manageable chunks—and that can then be fed to more specialized threads and prompts in ChatGPT or other AI’s, reducing the chance for error and misdirection.
3. Humans (Still) Needed
Generative AI doesn't work like a magic wand.
It is vital to keep human expertise in the AI loop. Sure, generative models often sound and look impressive, but they can be annoyingly superficial at times, not to mention plainly wrong.
It’s not a matter of replacing humans with AI, but of getting them to work together.
After all, the “end user” is inevitably human in every value chain.
A.TEAM EVENTS
Upcoming Webinar: The State of Prompt Engineering
Want to learn how to write prompts that get the highest-quality outputs and integrate LLMs into your applications?
Tune into our upcoming webinar on July 19th, at 11AM EST, on the State of Prompt Engineering, led by Daniel Balsam—the creator of the popular open-source framework surv_ai and head of AI at Ripplematch.
Tune in to cut through the AI hype, discover strategies for prompt engineering that get results and learn how to integrate large language models into your applications.
Everyone will leave with knowing how to assess the technical feasibility of any idea they have for integrating AI into their product.
MISSION MUST-READS
- How Startups Can Leverage AI Without Getting Caught in the Hype Cycle
- How to Build an AI Prototype in a Weekend
PARTING MEME