Danny Rodriguez

My kids' favorite dad. Hobby Dev. Recovered Gamer. Last felled member of the social media resistance. ex-Broadcom / ex-VMware / ex-Microsoft / GTM @ Databricks

[Danny Rodriguez @D_Rod_Tweets]

@JBE_JohnByars @DiscussingFilm Season 1 and 2 was the worst Star Trek content ever made. Terry Matalas saved s3

[Danny Rodriguez @D_Rod_Tweets]

@elonmusk ... it's time to make the call to @ID_AA_Carmack

[Elon Musk @elonmusk]

@noen25083 @HarshThoughtful @ryanwang 😂💯

We are using some assembly (and direct ASIC primitives) for operations that are done trillions of times per second

[Danny Rodriguez @D_Rod_Tweets]

@LyraInTheFlesh I am noticing this too. It is stark when juxtaposed against a collaborative Gpt 5.5 xhigh session ... Gpt 5.5 is just much smarter on average.

I'm quite convinced Opus 4.8 is heavily degraded currently.

[Danny Rodriguez @D_Rod_Tweets]

@Eric_Lautanen @gfodor they do (oss). guess what generates like every good open dataset? distillation, because something strong needs to generate what the verifiers are filtering.

well, there are good rl iterated open sets too

[Danny Rodriguez @D_Rod_Tweets]

@Eric_Lautanen @gfodor rlvr is the expensive part of post-training

you arenr distilling slop, you distill the vr traces the rl already computed. raw data has none of those.

even synth data needs a verifier

there’s a reason China has proxy armies for $20/mo Claude 😅

[Yuchen Jin @Yuchenj_UW]

Databricks is all in oss models.

We're looking for cracked AI inference engineers to join us at Databricks AI to produce trillions of tokens.

DM me if you have:
- Contributed to open-source ML systems like SGLang/vLLM/PyTorch/Dynamo
- Experience serving LLMs at large scale

[Danny Rodriguez @D_Rod_Tweets]

@Eric_Lautanen @gfodor everyone has raw human substrate. raw data != distillation

when you distill a frontier model, what you get is the learned function of enormous pretraining+RLHF+RLVR

thus, you can have ALL the raw human data and you'd still have all your work ahead of you

[Danny Rodriguez @D_Rod_Tweets]

@asgermsb @bryan_johnson You should try actually reading the post.

[Bryan Johnson @bryan_johnson]

The Midjourney scanner is revolutionary. There’s a bullish case that exceeds the most optimistic takes.

I was at the unveiling and used the scanner myself. I personally want to experiment with a weekly whole body Midjourney scan to add to my 1.5 billion data points and let my AI and doctors start connecting the dots.

Most of the early commentary has focused on the wrong questions: “is it as good as MRI?” and “what about false positives?” These are legitimate concerns, but they miss the bigger shift.

The more important question is: what does fast, low cost, safe whole body imaging unlock?

Let’s start with measurement.

A speedometer tells you how fast you are going. A fuel/battery gauge tells you when to stop. A thermostat tells you what to wear. The stock price tells you how much money you’ve made or lost. We measure what we care about.

Except, oddly, for our bodies, which are among the least measured things in our lives. Most people have more data on their favorite sports team, bank account, and social media performance than their body. The future will think we were crazy for this.

The first law of medicine is to do no harm. Our current system has harm baked into it.

+ an undiagnosed condition progressing silently is harm
+ a doctor who can’t easily get a patient screened preventively is harm
+ having no baseline to compare against when something shows up is harm

Our preventive net is narrow and inconsistent. Late stage diagnoses that could have been caught earlier remain common. Midjourney’s technology won’t eliminate that overnight, but it points toward a future where routine wholebody baselines become normal rather than exceptional.

Midjourney can help flip harm-by-default into a new expectation for our health infrastructure: almost no one will ever again be blindsided by a late-stage, life-threatening diagnosis that could have been caught earlier reasonably and cost-effectively.

Some examples of what earlier structural visibility enables:

+ breast cancer caught while localized has a ~99% five year survival rate. Once it has spread distantly, that drops to around 32%.

+ an abdominal aortic aneurysm kills more than 8 in 10 people when it ruptures. A single ultrasound finds the aorta in 99 percent of people, and screening cuts aneurysm deaths by a third to a half.

Midjourney’s technology will not do it all on its own. Its full angle, water immersion approach works around bone rather than seeing through it, and routes bowel gas to image the full abdominal cross section. Yet two real limits remain: air filled lungs stay a blind spot even here, and the brain is out of reach behind the skull, beyond the torso and legs this scanner covers.

That is fine, and they may improve these areas over time. Midjourney doesn’t need to do it all in order for it to be one of the biggest things to hit medicine in a long time.

Let’s look at where specifically Midjourney may be useful to each of us. We’ll start with where we get data today:

1) Blood draws tell us what is happening chemically.
2) Wearables tell us how the body is functioning.
3) Imaging tells us what is happening structurally.

The third layer, soft tissue, is the one we have never been able to access easily. MRI is great, but it is expensive, intimidating, and slow.

Midjourney's technology excels with soft tissue. Here are three places it could be game changing. There are many more.

1. Metabolic health - fatty liver is one of the earliest structural signs of metabolic dysfunction. It’s strongly linked to insulin resistance, type 2 diabetes, and cardiovascular risk. Being able to track visceral fat, muscle fat infiltration, and liver fat over time could give a much clearer picture than blood markers alone. Over 88% of Americans are metabolically unhealthy.

2. Endocrine tissue - the same metabolic patterns often cluster with thyroid issues, PCOS, and hypogonadism. Ultrasound can directly image the thyroid and ovarian structures. Fat tissue itself is an endocrine organ, so tracking it structurally adds another useful data layer.

3. Soft tissue + multiomics - new proteomic aging clocks can already predict risk for many chronic diseases from blood proteins. These molecular models could become significantly more powerful when combined with actual structural imaging data. The two are complementary, not competitive.

The real advantage: baseline + longitudinal tracking

The biggest unlock isn’t a single scan. It’s having a baseline followed by regular follow-ups. A one off scan in a moment of concern turns every finding into a potential crisis. Without context, you have no idea whether something is new, stable, or changing. With baseline + repeated measurement, the question changes from “what is this?” to “is this changing?” Most incidental findings stay stable. The dangerous ones tend to grow or evolve. Trajectory is often more informative than any single image or timepoint.This is why false positives become more manageable with frequent, low-friction imaging.

Midjourney has a difficult road ahead. Building robust, clinically validated medical hardware and software is extremely hard. Regulatory, technical, and adoption challenges shouldn’t be understated. Also, David is doing this for the right reasons and he’s well positioned financially to push through the difficulty.

On the horizon

We are moving quickly into a future where we will have continuous biological measurement. It will be all around us, a lot of it invisible and autonomous. Measurement will be in our gyms, beds, homes, clothing, offices, cars, glasses, and wearables. It will also be inside of us, in tissue and circulating in our blood vessels. This moves us from managing crises to preventing them. But this future will not just show up. We need bold builders like David and his team, willing to do the hard work.

[Danny Rodriguez @D_Rod_Tweets]

Medical bros: Scans are bad, because patients misinterpret noisy data

Tech bros: Data is good, because patients have access to data gobbling shoggoths that can extract signal

Medical bros: Tech bros don't understand the world of healthcare

Tech bros: Shoggoths understand all

[Zaphod @MinvstrD]

@gfodor @BrentAWilliams2 I dont get it. This technology has existed, and been iterated upon since the 1950s, we know it already.

Theyre not reinventing the wheel, theyre spiffing it up and charging you for while pretending they discovered something.

Apparently, most ppl take marketing as gospel. 🤷‍♂️

[Danny Rodriguez @D_Rod_Tweets]

@yacineMTB GhidraMCP + Claude is absolutely insane.

[Danny Rodriguez @D_Rod_Tweets]

@gfodor @drterrysimpson Meanwhile, my father in law just died.

The World Trade Center program staggers CTs bi-annually to reduce exposure.

Last year, no scan. This year? He dies from metastatic cancer.

But sure … “finding things is easy”

[Danny Rodriguez @D_Rod_Tweets]

@ericweinstein @refriedbuttsect einstein island sounds like a decent brand identity for Miller’s planet

[Danny Rodriguez @D_Rod_Tweets]

@paradite_ @tszzl @ivan_bezdomny

[Danny Rodriguez @D_Rod_Tweets]

@paulg Mark Weiser’s time is coming … the next form factors won’t be devices. They ought to disappear into our every day matter like fabrics and glass.

[Danny Rodriguez @D_Rod_Tweets]

1) what

[MTS @MTSlive]

SITUATION DETECTED: Midjourney has announced their first hardware device, a full-body ultrasonic medical scanner.

[CNBC @CNBC]

Databricks sales growth tops 80%, but margin are shrinking from swarm of AI agents https://t.co/GutBDAYBEe

[Danny Rodriguez @D_Rod_Tweets]

Poor Claude. His dad is committing Seppuku.

Elon and Hassabis get joint custody, imo.

[Danny Rodriguez @D_Rod_Tweets]

@theJayAlto Hahaha too real

[Danny Rodriguez @D_Rod_Tweets]

@JimBreuer Thanks for the help with the stroller in EWR man!