UNDERCOVER: GAVIN NEWSOM SAYS THE DSA IS "GOING TO BE DOMINANT" AND "MAINSTREAM" IN THE DEMOCRATIC PARTY!
"The DSA, the energy and the desire and demand for bold change, not incremental change, is very much going to be dominant. I mean, that's going to be a mainstream Democratic movement. Absolutely. No question about that."
That's California Gov. Gavin Newsom, a likely 2028 presidential candidate, speaking to an undercover journalist while campaigning in New Hampshire.
Asked by a "younger voter" who said "we don't want Kamala Harris, we want more democratic socialist policies":
"No one is arguing to manage the status quo and fail more efficiently."
"You can't play in the margins anymore. The system's broken. It's completely unbalanced, and we can't manage the decline. We have to completely reimagine."
Not surprising since French are professional protestors. The real @Polymarket bet is when the US and the rest of the world resists the inflationary pressure and Govt. corruption… or if the age of Abundance and UHI comes first.
BREAKING: France erupts into chaos as up to 800,000 people take to the streets, with protesters setting fires, storming government buildings, & clashing with riot police.
You can now book two humanoids for our cleaning service in SF. One humanoid for 60 minutes is $30, two are $60.
You can book a cleaning at https://t.co/Brl42KyISx. If you don’t have an invite code yet, join the waitlist. Timelapse at 5× speed (~40 minutes in real time).
🚨 Harvard just made its AI course free.
No tuition.
No application.
Just world-class AI education.
Harvard University just released 6 high-quality lectures on AI + Prompt Engineering— and anyone can access them.
If you're serious about AI in 2026, start here:
🎓 Harvard University LECTURES
1. Introduction to Generative AI
A step-by-step guide to how GenAI actually works.
Link: https://t.co/Mbh9PzwB8J
2. Prompt Engineering
Real tips for improving output quality from any LLM.
Link: https://t.co/zLnhwbNBR1
3. Beyond Chatbots: System Prompts, RAG
Move past surface use cases into scalable applications.
Link: https://t.co/bOszFzbRvG
4. Generative AI in Teaching & Learning
How educators can adapt and lead with AI.
Playlist: https://t.co/IHi4EDaJru
5. Teaching with AI in the Classroom
Frameworks for trainers and educators.
Link: https://t.co/IRlTE4vmD1
6. The Basics of Generative AI
No jargon. Just clarity.
Link: https://t.co/KoL1SQNh0y
BONUS
🟩 CS50x 2025 – Artificial Intelligence Lecture
LLMs, neural nets, and real-world use cases
Link: https://t.co/PzA0dW60Xl
🟩 CS50 Extension – AI / Prompt Engineering
Design prompts that think with you
Link: https://t.co/g1IEspxlJ8
🟩 GPT-4: How it works + how to build with it
Behind the curtain on GPT-4
Video: https://t.co/wshBHUTH71
🟩 LLMs and the End of Programming
Why prompting is the new coding
Video: https://t.co/DxoJhBekl1
---
💡 REALITY CHECK
✅ Harvard-level AI knowledge is now free
✅ Prompting = career acceleration
✅ 2 lectures can put you ahead of 90% of professionals
✅ The future belongs to people who can “talk to machines” strategically
Don’t just consume AI. Learn how to control it.
👇 Which lecture are you starting with?
♻️ Repost to help others learn AI
🔖 Save this (you’ll need it later)
🔔 Follow @JayBisen473370 for more AI insights
Australian media flooded with;
"Smoking rates in Australia are falling"
https://t.co/In1mFbfiTw
https://t.co/vx46nxYrJo
Reminiscent of the 2025 RoyMorgan scandal.
00:19 - "rather than reveal this, the technocrats had decided to pretend that everything was going according to plan"
I'm a cardiologist. Something just happened today that I genuinely did not see coming — and it could change the future of preventive medicine more than anything I've written about on this platform.
Midjourney — the AI company that became famous for generating images from text prompts — just announced a medical hardware division and unveiled a working prototype of a full-body scanner unlike anything that's ever existed.
It's called the Midjourney Scanner. And it works like this.
You step into a shallow pool of water. You stand on a platform that slowly descends — about two inches per second — through a ring containing roughly half a million tiny ultrasonic transducers, each the size of a grain of sand. Every one of them acts as both a speaker and a microphone, sending ultrasonic waves through your body from every angle and recording what comes back.
60 seconds later, you step out. The scan is done.
No radiation. No magnets. No claustrophobia. No IV contrast. Just sound, water, and an almost incomprehensible amount of computing power — roughly 2 petaflops processing 17 gigabytes per second of raw acoustic data — reconstructing a 3D map of your entire internal anatomy down to half a millimeter resolution.
Organs. Tissues. Blood vessels. Bones. Muscle. Fat distribution. All segmented by AI in real time.
As a cardiologist who has spent months writing about how the standard screening playbook misses the majority of future heart attacks — this is the technology I've been waiting for without knowing it existed.
Here's why this matters for the future of your heart.
Right now, getting a detailed look inside your cardiovascular system requires either a CT scan (radiation), an MRI (magnets, claustrophobia, 45-60 minutes, $1,000+), or a coronary CT angiogram (radiation, IV contrast, limited availability). These are powerful tools. I order them regularly and they save lives.
But they're reactive. You get them when something is already suspected. They're expensive. They're uncomfortable. And for most people, they happen once — maybe twice — in a lifetime.
Imagine instead: a 60-second scan with no radiation that you could repeat monthly or quarterly. Tracking cardiac structure over time. Watching body composition shift. Detecting changes in organ size, fluid distribution, or vascular architecture before symptoms ever develop. Building a longitudinal dataset of YOUR body that AI can analyze for patterns no single snapshot would reveal.
That's what Midjourney is building toward.
The company plans 50,000 scanners worldwide over six years, with capacity for a billion scans per month. The first location — the "Midjourney Spa" in San Francisco — opens at the end of 2027 with 10 scanners alongside saunas, cold plunges, and a gym. The scan costs a few dollars. The experience is designed to feel like wellness, not medicine.
The technology is built on Butterfly Network's ultrasound-on-chip platform — 40 modules per scanner — combined with Midjourney's own AI segmentation and reconstruction stack. David Holz, the founder, claims the system aims for image quality comparable to MRI in many aspects but at nearly 100x the speed with zero radiation.
Now the caveats — because I'm a physician and the caveats matter enormously.
This is a Gen 1 prototype. About a dozen people have been scanned so far. Current scan time is actually closer to 20 minutes, not 60 seconds — the system is bottlenecked by bandwidth and reconstruction algorithms. The 60-second target is aspirational for future hardware generations.
It is not FDA-cleared for diagnostic use. Midjourney is starting with body composition maps — a category below diagnostic imaging in the regulatory hierarchy. The path from "beautiful 3D body scans" to "clinically validated diagnostic tool that your cardiologist can act on" runs through years of clinical trials, comparative studies against MRI and CT gold standards, and FDA review.
No independent clinical validation has been published. The imaging claims come from Midjourney's own demonstrations. Comparative data against established modalities does not yet exist.
And the privacy implications of full-body internal scans at planetary scale — a billion scans per month — is a conversation that hasn't even started yet.
So I want to be precise. This is not ready for clinical medicine today. It may not be ready for years. Many ambitious medical hardware projects have failed in the gap between prototype and product.
But.
The fact that a working prototype exists — producing real segmented 3D anatomy from sound waves and compute alone — means the physics works. The engineering works. The question is no longer "is this possible" but "how fast can it be validated and scaled."
And if it is validated — if the resolution holds up against MRI, if the AI segmentation proves reliable, if the regulatory path clears — then what we're looking at is the most significant new imaging modality in 50 years.
For my entire career, preventive cardiology has been limited by the fact that seeing inside the body is expensive, slow, uncomfortable, and infrequent. We catch disease late because we image rarely. We image rarely because imaging is hard.
A 60-second, no-radiation, spa-based full-body scan that costs a few dollars would demolish every one of those barriers.
I've written about AI detecting inflamed arteries. About gene editing curing cholesterol. About GLP-1 drugs rewriting metabolic medicine. About cellular reprogramming reversing aging.
This is the missing piece: the ability to see inside every human body, routinely, safely, and affordably — so all of those interventions can be deployed before the disease arrives instead of after.
The company that taught AI to generate images from imagination just built a machine that generates images from the human body.
The future of medicine showed up today from the last place anyone expected.