😺 Apple Intelligence 2.0?!

PLUS: OpenAI's new voice mode is 🔥

Welcome, humans.

AI Moses is crushing the internet this week (pretty incredible, with everything ELSE going on…). Check out this viral supercut of him vlogging through his Egyptian escapades:

Another new trend? Giving ChatGPT your age, body type, and DNA results and seeing how close it gets to the real thing. NGL, the resulting image was not far off!

But also, should we be giving AI this much info about us?? Previously, we shared why you really don't want to share too much with ChatGPT, because of how it never deletes your information, and sharing too much personal information even on social media makes it easier for cybercriminals to target you.

Right now, over two dozen states are suing 23andme over its plans to auction off its customers genetic data without their consent. What do you think happens if (or when) the AI bubble pops and OpenAI goes under? Think about how much juicy data they’ll have to sell…

This reminds us of the other post going viral this week… a 10 year old clip from the TV show Silicon Valley that pretty much predicted where we are now with AI coding bots.

Just because you CAN do something with AI, doesn’t always mean you should…

‍Here’s what you need to know about AI today:

Apple announced a slew of new AI features for later this year.
OpenAI hit $10B in annual recurring revenue.
Advanced Voice Mode has a new, more human upgrade.
Amazon invested $20B in new data centers.

Advertise in The Neuron here.

Everything (AI) that Apple announced at WWDC 2025…

If you don’t know, WWDC is Apple's annual developers conference where they announce new software and hardware for people who make apps.

At this year’s WWDC event, Apple showed off a host of updates for Apple Intelligence, with the goal to make AI more powerful and deeply integrated into all its devices.

That said, there was no mind-blowing new Siri overhaul. Instead, Apple’s focus was on practical features and, most importantly, putting its core AI into the hands of developers.

The most interesting new features coming this fall:

On-device Live Translation built into Messages, FaceTime, and the Phone app to translate conversations in real-time, entirely on-device, so your chats stay private (you can see live translated captions on FaceTime or have translations spoken aloud on a phone call).
A new Visual Intelligence tool that understands what’s on your screen; all you do is press the screenshot button to ask ChatGPT questions about what you’re seeing, search for a similar product on Etsy, or have it automatically add an event from a flyer to your calendar.
Image Playground now lets you change expressions or hairstyles in photos and integrates with ChatGPT to create images in new styles, like oil painting or vector art.
Apple Watch gets a new AI coach that uses your fitness history to give you personalized motivation during workouts, delivered in a new dynamic voice based on Fitness+ trainers.
A revamped Shortcuts app that can now chain AI actions together, like having it transcribe a lecture, compare it to your notes, and then use ChatGPT to summarize the key points you missed.
And AI-powered developer tools that will change how apps are built.

The biggest news: Developers now get direct access to Apple’s on-device foundation model (docs). This allows them to build intelligent, private, and offline-capable features into their apps, all without paying for AI inference.

Plus, the new Liquid Glass design is basically a UI that floats over your apps that could one day help AI operate apps on its own.

Our take: Apple is playing the long game with practical, privacy-focused AI (intentionally or unintentionally). We’re having deja vu… wasn’t it a year ago we wrote about Apple Intelligence finally arriving? Until now, they had little to show for it.

For developers, the time to experiment with the new Foundation Models Framework is now; building intelligent, offline-first features could become a major competitive advantage.

For users, the key takeaway is that your Apple devices are about to get a lot more helpful in small but meaningful ways. The real power won’t be in one killer app, but in the dozens of “intelligent actions” woven into the OS that will save you a few seconds or a few clicks, hundreds of time a day.

This is Apple’s strategy: make AI an invisible, indispensable layer of the experience. Let’s see if they can actually execute on it. Fool me once, shame on you; fool me twice…

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In episode one, Sana CEO Joel Hellermark joins Wharton’s Ethan Mollick to unpack AGI myths, real-world automation, and scaling without losing your people.

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Prompt Tip of the Day

STOP Using ChatGPT Normally. Use Projects Like This Instead

We don't talk about this enough, but using Projects with ChatGPT or Claude is one of the best ways to organize your AI workflows.

Projects maintain context across new chats, so you're not starting from zero every time—it's like giving ChatGPT a focused pattern to work from for everything in that project.

We use Projects every day (via Claude tho), with different projects for every recurring task we do.

If you’ve never used them before, this 14-minute tutorial covers:

How to set up projects with uploaded files and custom instructions.
Use case: Generating a video sales letter and landing page copy.
Creating a 5-email nurture sequence within the same project.
When to create separate projects vs. keeping tasks together.
And moving your chats in and out of projects.

We also love that it covers when to use a Project vs. when to use a Custom GPT. The TL;DR?

Projects = organized personal workspace for ongoing work (keeps context across chats, supports multiple models).
Custom GPTs = specialized AI tools you can share and reuse.

For all the prompt tips from this month, check out our June Prompt Tip of the Day Digest.

Treats To Try.

*Anything marked with asterisks is sponsored content. Advertise in The Neuron here.

*Luma AI turns your text into videos and lets you completely restyle any video's background, characters, or setting in post-production.
ChatBetter lets you chat with “every AI” model in one chat window.
Kling 2.1 is an AI video generator, now with better prompt accuracy, more realistic motion, and introduces three quality tiers(recently claimed its annual revenue will hit $100M by 2026).
VidAU turns product photos into video ads instantly.
Thiings is a free collection of ~2K free AI generated 3D icons.
FuseBase automates your admin work with AI agents that are easy to set up.
Google has an open source agent builder that lets you build your own research chatbot via Replit (via Paul Covert on X).
Anthropic’s Prompt Engineering Guide is an interactive tutorial that teaches you to write better Claude prompts through 9 chapters with practice exercises.

See our top 51 AI Tools for Business here!

Around the Horn.

May the best UI / UX win!

OpenAI hit $10B in annual recurring revenue (that is, monthly recurring revenue over 12 months, so its making roughly ~$833M a month).
OpenAI’s Advanced Voice Mode got an upgrade that makes it a lot more naturalistic to talk to—seriously, talk to it, it’s uncanny.
Amazon announced a $20B investment on two data center complexes in Pennsylvania, including one next to the Susquehanna nuclear power plant and another near Philadelphia, representing the largest private sector investment in the state's history.
Anthropic killed its Claude Explains blog (where Claude explains techie topics)… probably because people would rather just talk to Claude.
Here are the top AI papers of the week according to DAIR AI on X and the top papers according to The AI Timeline on X.

Tuesday Tube

The Great AI Productivity Paradox

This is the best explanation of AI's economic impact we've seen yet. While pundits argue whether AI will “take” or “create” jobs, the playbook is already clear:

Don't hire new people.
Make your existing team more productive with AI.

Caya argues this is “a good and fair business practice”… but only with the right guardrails. Without them, we get ~500K tech layoffs (and counting) and 60+ hour work weeks where less people use AI to do multiple people's work.

The solution isn't rejecting AI. It's implementing the guardrails other countries already have: the right to disconnect laws, maximum work week caps (like South Korea's 52-hour limit), and overtime protections that can't be waived away by “startup culture.”

Caya argues this isn't an anti-AI or anti-progress take, either. It's just a few meaningful pro-human guardrails for an AI-powered economy before productivity gains flow entirely to shareholders (and no one can afford to buy anything except the top 1%…)