😺AI just might cure cancer...

PLUS: Piping hot OpenAI tea...

Welcome, humans.

Sam is once again asking for your financial support to please, stop making images.

Reddit users had a field day with what’s going on here—from labeling it “scarcity marketing 101” to someone joking that AI = “actually Indians” drawing everything by hand really fast.

Users are also reporting that OpenAI just added new “copyright” filters that virtually blocks anything creative—which they say hobbles the tool's potential just as it was gaining momentum.

TBH, we don’t feel bad for you, Sam. Y’all released it just to swipe at Google and DeepSeek. As T Swift says, “Play stupid games, win stupid prizes…”

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

Apple wants to launch an AI health assistant.
McKinsey: Most companies saw no profit from genAI.
AI created 29 billionaires worth a combined $71B.
ITER used Microsoft AI to improve nuclear fusion plant operations.

Advertise in The Neuron here.

While Apple and startups battle for doctor's attention, AI just might cure cancer...

Big Tech (and Bill Gates) are betting your iPhone will be your next doctor.

Apparently, Apple is planning to revamp its Health app to add an AI coach as soon as summer 2026. The service—tentatively called Health+—will analyze data from across users' medical devices to offer personalized health advice, and the coach will be trained on data from staff physicians, with Apple looking to bring in additional doctors to record health-related videos.

Now get this: Healthcare providers today are already experiencing an AI revolution through specialized “copilots”…

Abridge (raised $250M) converts doctor-patient conversations into structured medical notes, clinical documentation, and billing codes (check out this great interview with Abridge’s founder).
Meanwhile, Navina (raised $55M) takes a different approach, aggregating existing patient data to create comprehensive profiles that enhance clinical decision-making.

Both aim to solve healthcare's burnout crisis (40% of doctors want out within 3 years!) through different workflow entry points—Abridge starts with conversations, while Navina focuses on existing records.

But the biggest breakthrough might be what AI can do for cancer. AI is really good at pattern recognition. This means it has a lot of potential for cancer detection and subsequent treatment. Check out this video of Gemini looking at a CT scan:

Gemini knows it’s looking at an abdomen and can identify organs that the mouse/cursor hovers over.
It spots a potential abnormality (“the pancreas appears somewhat swollen”).
After the human radiologist says the patient has elevated lipase levels, it offers a potential diagnosis (“highly suggestive of pancreatitis”) and the complications the radiologist should look for.

As this Redditor points out, sometimes the difference between good and ill health is a single small piece of information, which can be easily forgotten (or never gathered at all). And AI has a better memory and ability to recall information than all the best oncologists combined.

No wonder people are excited:

A new AI tool just surpassed previous methods in colorectal cancer tissue analysis.
Another tool developed by researchers, known as ANORAK, just effectively predicted patient outcomes in a common type of lung cancer—and can already help radiologists grade cancer tumors.
If trained properly, there’s more chance of an AI model drawing effectively and reliably from a vast literature than even the best medical professional. Human error, y’all.

But cancer detection is one thing—treatment is another. In short, there are millions of potential treatment combinations for cancer. Measuring outcomes of different combinations is hard. Which makes cancer a very difficult disease to eradicate.

Here’s a cool talk from >7 years ago, in Silicon Valley, arguing “why AI will cure cancer.” According to the speaker, AI can enable an “air traffic control system” that can coordinate thousands of real-time cancer treatments. Patients get the best possible treatment, while at the same time, efficiently testing the whole spectrum of possible treatments.

Our take: The future of healthcare isn't AI replacing humans—it's AI augmenting humans in the right places, whether that's handling paperwork to give doctors more family time, offering personalized health advice through your iPhone, or spotting pancreatic abnormalities that might otherwise be missed.

If we’re to finally solve healthcare's toughest challenges—from physician burnout to cancer—AI could very well be the key that unlocks the solution.

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Prompt Tip of the Day

This screenshot is a masterclass in using ChatGPT's image generator: Create a simple sketch with detailed labels as your blueprint (notice how the example labeled the trees, jersey, “1000 MPH” text, sky, and stadium lights?).

Then ask for a “hyper realistic” transformation. The AI follows your layout while dramatically improving quality—perfect for graphics where you have a vision but lack design skills.

The secret? Be extremely specific with your labels and instructions for maximum control over the final result.

Treats To Try.

*ImageDataSets.ai (by Zedge) offers image and video datasets tailored to your exact AI training needs. They're hiring a BD Manager 👉 Apply now!
Google rolled out Gemini 2.5 Pro (the best model no one is using) into the Gemini app.
Thea generates unlimited AI practice questions and study materials on any subject you’re trying to learn—free to try.
Tana turns your scattered notes and tasks into structured information that automatically organizes itself where you'll actually use it.
Tanka uses AI with long-term memory to make team messaging smarter by automating replies and remembering your entire conversation history.
Flowtrail lets you chat with your databases and files to instantly get visualizations—free to try with GPT-4o, paid required for other AIs.
Sider is like Deep Research, but for creating your own knowledge base that learns with you and automatically organizes your findings for future use (free to try, then $10/mo onward).

See our top 51 AI Tools for Business here!

*This is sponsored content. Advertise in The Neuron here.

Around the Horn.

McKinsey released a new report that revealed most organizations have yet to see bottom-line impact from genAI despite widespread adoption, with workflow redesign emerging as the single most effective strategy for capturing value.
Amazon updated Amazon Photos so you can easily search for a product you snap a pic of directly on Amazon.
ITER (the world’s biggest nuclear fusion project) used Microsoft Copilot and a range of other tools to search 1M+ documents and improve its operations.
H&M announced it will create AI twins of 30 models to use them in social media and marketing imagery (so long as the models agree).
Apparently 29 AI founders have now become billionaires with a collective net worth of $71B.
A report on the Future of AI Research revealed that over 75% of AI researchers believe scaling current approaches won't lead to AGI (where AI is as good as humans), instead recommending research diversity across classical methods, hybrid neural-symbolic systems, and entirely new ones.
ICYMI: there’s a new book coming out detailing the behind the scenes of OpenAI’s 2023 boardroom drama—here’s a few excerpts.

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What Kills an AI Pilot?

Why are so many AI projects dead on arrival, and how can you make sure yours isn’t one of them?

‍Section CEO Greg Shove is sitting down with SAP’s CTO and Chief AI Officer, Dr. Philipp Herzig, to talk about getting AI projects from pilot to product.