Volume 26

Silicon Society is building the future of learning through AI-native job shadowing at scale.

Want to be an early SiSo platform user? Join our Beta waitlist!

Need something built by our agency team? Grab a time to chat.

We’re building the future of learning, out loud.

➡️ Our closed alpha is going strong! It’s been energizing to see what’s working, what needs refinement, and to continue iterating our roadmap in response. Just over the last week, members have cast Shadows on ✏️ Creative Writing for ESL Learners, 📊 Intro to Plotly Dash, 📚 Writing a Book: Microtrades, 🤖 Scr4tch: AI Agent, and more!

Want access for yourself or your team? Grab a time to discuss.

➡️ We had the incredible opportunity to present Silicon Society’s vision and platform to corporate learning leaders at Offbeat Sparks Chicago - and our talk on the democratizing power of AI-enabled job shadows truly resonated! You can read an adapted version here.

Curated media from the past few weeks:

Upcoming Events

The next couple of months are filled to the brim with networking and skill-building events. Including a few here so that you, our 🔥🤓 newsletter crew, can sign up early!

📆 Check them out:

• From Imposter to Influential, Lunch n’ Learn Masterclass, June 2-3

• NY Tech Week, Dozens of Events!, June 2-8

• Scaling AI That Works: Real-World Architectures & Success Stories, Silicon Valley AI Think Tank, June 18 

• ATX Ecosystem Resources, Updates, & Networking, Austin Startup Meeting, June 2

Puppramin - AI Video Shoot Twitter Thread

This filmmaker shares the video and his prompts for an AI generated pharmaceutical ad. Perfect? No. Mind blowing? Absolutely.

🗯️Quotable Bit: “I used to shoot $500k pharmaceutical commercials. I made this for $500 in Veo 3 credits in less than a day. What’s the argument for spending $500K now?”

From LLMs to hallucinations, here’s a simple guide to common AI terms

If you’ve read this far into this newsletter, then you’re likely spending at least some time every day thinking about AI. Bookmark this glossary to stay abreast of the growing and shifting AI lexicon. It’s as useful as it is robust!

🗯️Quotable Bit: “In an AI context, chain-of-thought reasoning for large language models means breaking down a problem into smaller, intermediate steps to improve the quality of the end result. It usually takes longer to get an answer, but the answer is more likely to be correct, especially in a logic or coding context. Reasoning models are developed from traditional large language models and optimized for chain-of-thought thinking thanks to reinforcement learning.”