Daniel NG

Passed CFA Program Level III ages ago. Old. Tried various things. Solopreneur trying to ship something. Pardon my English.

[Daniel NG @DanielNgXR]

@bryan_johnson Guess you have to consider the fibrous and abrasive nature of your food and pills to reduce the damages on your stomach lining. Protect your stomach from working too hard.

[Daniel NG @DanielNgXR]

@NubianThinker @Rainmaker1973 The report said 30-40's, and I bet a lot of people in those ages looks far more older than him.

[Daniel NG @DanielNgXR]

@MHCanes18 @alexandr_wang You don't know SV...

[Daniel NG @DanielNgXR]

@kimmonismus What the hell he want? Everything...

[Daniel NG @DanielNgXR]

I used to change gpu card, now I just add more.

[Daniel NG @DanielNgXR]

@AnthropicAI Great, today's great excuse for a break.

[Daniel NG @DanielNgXR]

Just told this to my son who is in the spectrum: when i say mind over body, i meant brain is just part of the body and consisted of different departments. Sometime they all might want to rush through your mind's door and overwhelm you, and sometime you have to learn to keep knocking on their door until you get a respond. So your true self is in the mind, learn to train and use your brain like you train your body in a gym.

[Pengrui Han (Barry) @pengrui_han]

The human brain is strikingly modular, with distinct networks for language, formal reasoning, social reasoning, and physical reasoning. Is this a fundamental principle of how intelligent systems are built, or an accident of biological evolution?

In our latest preprint, we find that a similar modular organization emerges in Large Language Models, another class of intelligent system.

Brains and LLMs are shaped by entirely different kinds of optimization (biological evolution vs. gradient descent). That they arrive at the same modular design anyway suggests modularity may be a fundamental property of intelligent systems.

🌐 Web: https://t.co/ZKrnTSSuSf
📄 Paper: https://t.co/ZibBXz3PUy
💻 Code & data: https://t.co/uBo5iOYNjy

Using circuit analyses across 46 tasks spanning four cognitive domains, we find:

1️⃣ Tasks that draw on the same network in humans recruit overlapping units in LLMs, while tasks drawing on different networks recruit distinct units.

2️⃣ These units are causally linked to model behavior. Ablating the units critical for one domain impairs performance in that domain (−26% accuracy) but barely touches the others (−2.5%).

This project has been in the works for a while :) Huge thanks to my advisors @jacobandreas @ev_fedorenko @devarda_a, and to @Nancy_Kanwisher for valuable conceptual input and feedback throughout. #MIT

[SemiAnalysis @SemiAnalysis_]

Transformer’s Attention mechanism has come a long way. We’d like to thank the researchers and the engineers in the open-source community for continuing to make high-performance AI accessible. Please celebrate with us by sharing this post, tagging more contributors, and sharing anecdotes to complete the open history of Attention! (1/8)🧵

[Dilum Sanjaya @DilumSanjaya]

Haven't seen any demos of using vibe coding to prototype gadgets like this

So I made one. Everything here is generated with code

Parts of the code and logic can even be reused on a Raspberry Pi to build the real thing

Some tips ↓

[Daniel NG @DanielNgXR]

@Globalstats11 Thai: 5555

[Daniel NG @DanielNgXR]

@signulll Nature is amoral.

[Daniel NG @DanielNgXR]

@jukan05 Congrats?

[Daniel NG @DanielNgXR]

@Polymarket ... and not all life is equal."

[Daniel NG @DanielNgXR]

Lol

[Daniel NG @DanielNgXR]

@elonmusk We worship Carrier the AC Deity here.

[Daniel NG @DanielNgXR]

@BrianRoemmele Modern snake oil salesman

[Daniel NG @DanielNgXR]

@Miles_Brundage 🤣

[Daniel NG @DanielNgXR]

Lmao🤣

[Henrick Johansson @compliantvc]

39 degrees in Madrid may sound hot

But I recently heard an American mention that it was over 90 degrees in New Jersey for the World Cup

Shocking how much damage Americans have done to their own climate that the temperature would be more than twice as hot as the EU

No idea how anyone survives in the United State of Climate Change

[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.

[Daniel NG @DanielNgXR]

@kimmonismus Nope. Acquiring an open source ide wrapper is way better than data labeling sweatshop.