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hhs

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www.qmul.ac.uk 4d ago

New hybrid positioning system promises reliable tracking where GPS fails

hhs
5pts0
news.stanford.edu 4d ago

Statistical test helps judge the value of personalization

hhs
4pts0
lawliberty.org 4d ago

The headache of hospital pricing

hhs
4pts0
www.npr.org 5d ago

What a Monopoly importer learned when it tried to make things in the USA

hhs
6pts0
publishing.aip.org 5d ago

What is a bio-metal? Exploring the metallic mystery of an ancient maw

hhs
3pts0
news.uq.edu.au 5d ago

Sensing warm and cool: how the body detects temperature changes

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47pts10
med.stanford.edu 11d ago

Inferring multicellular interactions in tumors from standard pathology slides

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5pts0
www.engineering.upenn.edu 11d ago

How sea stars build materials that can see

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30pts5
oecdecoscope.blog 11d ago

The fine print that follows you out the door: non-compete clauses are spreading

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34pts67
www.stir.ac.uk 12d ago

Looks good, feels bad? Review explains why modern design can strain your brain

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5pts0
now.tufts.edu 12d ago

Plants get wearables to track their health

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www.brown.edu 12d ago

Einstein's relativity rules chemical bonds in heavy elements, new research shows

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414pts196
www.embl.org 18d ago

Cells, boundaries, and the emergence of biological order

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www.mbl.edu 18d ago

Jellyfish can heal wounds in minutes. Scientists want their secrets

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191pts43
stories.tamu.edu 18d ago

Researchers affirm long-held belief that viruses can trigger Parkinson's disease

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www.engineering.columbia.edu 19d ago

The circuit that lets your brain think and see

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88pts23
www.uni-wuerzburg.de 19d ago

Ants: Who looks after the injured in a colony?

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116pts55
news.exeter.ac.uk 19d ago

Giant trees have no trouble pumping water to top branches: new research

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269pts124
www.energy.gov 25d ago

DOE explains antimatter

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5pts1
www.nber.org 25d ago

New Work, new technologies, and the skill premium

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5pts0
www.bcm.edu 25d ago

Teamwork: An unexpected strategy bacteria use to survive antibiotics

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6pts0
news.berkeley.edu 26d ago

With AI, researchers discover new way to detect sudden cardiac death risk

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news.mccombs.utexas.edu 26d ago

International investment and local rules push prices up faster than supply

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135pts62
med.stanford.edu 26d ago

A molecular seesaw drives healthy skin development: research

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www.ucl.ac.uk 1mo ago

Lessons from wasps on how societies survive power struggles

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6pts0
www.lse.ac.uk 1mo ago

'Buy less' campaigns don't work

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13pts4
www.binghamton.edu 1mo ago

Solving Wordle using information theory

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60pts64
www.nyu.edu 1mo ago

How do flocking birds and schools of fish move?

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17pts5
news.keckmedicine.org 1mo ago

Fish oil supplements may not prevent Alzheimer's-related decline: study

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workshift.org 1mo ago

Job postings aren’t jobs

hhs
7pts2

If interested, Charlie Munger had a special take on the failure of old GM and several other things, including what was said about unions:

"General Motors, out of the profits of their good years, they could have bought, every year, for many years, a big company. They could have bought Eli Lilly one year and Merck the next, and United Technologies. General Motors could own the world. Instead, what they declared to their shareholders was a goose egg. They took the common equity to zero. And they would say it was all somebody else’s fault. The climate was bad, the unions got powerful. Those damn Asians and Europeans were too competitive.

The truth of the matter is, their very prosperity made them weak. The dealerships got in the hands of inheritors, and the executives on the sales field go around and drink martinis with inheritors, and didn’t pay enough attention to defects in their vehicles. And one thing led to another, and when they were all done the shareholders’ equity went to zero.

And that was in a company that at its peak was one of the most admirable companies in the world. Take the stuff that Boss Kettering (Charles Kettering – head of research at General Motors from 1920 to 1947) had invented in the early days. Kettering was one of the most useful citizens that ever lived in America.

A self starter on a car is a wonderful thing. Under the old system, you frequently broke your arm. You would give it a crank and it would answer back by spinning backwards and breaking your arm. I would much rather push a button than have my arm broken. Nor do I have the opportunity to go and crank in the sleet and snow." [0]

[0] https://fs.blog/worldly-wisdom-from-charlie-munger/

More broadly, as tools advance and catch signals to notify of certain irregularities, this may be of interest:

"Jan Egger and Jens Kleesiek, medical researchers at Essen University Hospital in Germany, are looking at ways in which the headset might be useful for health care2. They say that the Vision Pro’s advanced eye-tracking technology might be capable of picking up conditions such as vertigo, or even early signs of a stroke or dementia. The pair plan to study this when they get one of the headsets. “You have different eye movements and these can be detected using such a device,” says Kleesiek. “The quality of the sensor readings is so high that you can actually utilize it for such medical tasks.""

"2. Egger, J. et al. Preprint at arXiv https://doi.org/10.48550/arXiv.2308.04313 (2023)."

To be fair, the author does link to that study in the first paragraph of this piece, and then adds some context about languages near the end:

“But while the English-language web is experiencing a steady — if palpable — AI creep, this new study suggests that the issue is far more pressing for many non-English speakers.

What's worse, the prevalence of AI-spun gibberish might make effectively training AI models in lower-resource languages nearly impossible in the long run. To train an advanced LLM, AI scientists need large amounts of high-quality data, which they generally get by scraping the web. If a given area of the internet is already overrun by nonsensical AI translations, the possibility of training advanced models in rarer languages could be stunted before it even starts.”

Regarding the future, Martin Cooper says:

“We still have a way to go. I think phones are too complicated now. The way we use them is not very natural. Holding a phone up to your ear with your elbow opening is not what you’d call a very natural way of talking. We have a way to go. I think that the cell phone is still in its infancy. I think that the children of today’s cell phone, if I could use that analogy, are going to be used for things like connecting to your body, measuring things on your body, understanding when you’re starting to get sick. But talking to a computer somewhere that does a physical examination of you — not every year — but every 30 seconds. I believe that the cell phone is going to be an important part of eliminating disease. And I really mean that.”

Is Math Real? 3 years ago

This book is not really addressing the more common "is math real" question of it being empirical or invented.

Please note, this is mentioned at the beginning of the review:

"I settled in to read the book “Is Math Real?” expecting to become embroiled in the age-old controversary of whether math is invented or math is discovered. Instead, I found myself confronted with two viewpoints of mathematics: one view is that mathematics is a stiff and fixed set of rules and algorithms while the other view is that mathematics is flexible and our understanding of math comes from questioning of why mathematics functions so effectively.

The premise of “Is Math Real?” is that people have different emotions about math. Some love the math and have little difficulty determining the correct answer to a problem while others loathe and dislike the math and have a difficult time ascertaining the correct response. Many times, a student is humbled or chastised for asking ‘a stupid question’. Author Cheng states that there are no stupid questions. In fact, the most profound concepts in mathematics are learned from asking the simplest of questions.”

Please note, at the end of this piece, it says: "The researchers caution that the correlations they found were fairly modest and should not be overstated or misused to promote an agenda (Horwitz points out that assortative mating research was, tragically, co-opted by the eugenics movement).

They do hope the study will spark more research across disciplines, from economics to sociology to anthropology and psychology."

But on the flip side, nobody has ever really demonstrated strong negative effects from HFT and many studies show positive effects

If interested, this is a paper published in January 2023 called "Does high-frequency trading actually improve market liquidity? A comparative study for selected models and measures" [0].

And the abstract notes: "By comparing a variety of regression models that associate various measures of market liquidity with measures of high-frequency activity on the same dataset, we find that for some models the increase in high-frequency activity improves market liquidity, but for others, we get the opposite effect. We indicate that this ambiguity does not depend only on the stock market or the data period, but also on the used HFT measure: the increase of high-frequency orders leads to lower market liquidity whereas the increase in high-frequency trades improves liquidity. We hypothesize that the observed decrease in market liquidity associated with an increasing level of high-frequency orders is caused by a rise in quote volatility." [0]

[0] https://www.sciencedirect.com/science/article/pii/S027553192...

AI generated text.

It reads like it.

One could make this argument about any text.

And please note this is a blog piece, and there is no disclosure that notes it is sponsored by anyone.

Time management is important. Patrick Collison, one of the co-founders of Stripe, addresses this with a wallpaper [0]:

“Patrick’s desk is covered in books […] The wallpaper on his computer displays a countdown clock for his life: He has 52 years and a few days left. “This is a very coarse estimate, but it’s a reminder that you get old quickly,” he says, a touch of gray now in his red hair. “When you talk to people who are old, some wish they had enjoyed themselves more, but not many wish they had wasted more time.””

[0] https://www.bloomberg.com/news/features/2017-08-01/how-two-b...

In many cases the uncertainty of the predictions is very high to the point where it’s useless.

The article does address this, and points to the complexity with an example:

“One of the trickiest questions of all concerns Duchenne muscular dystrophy, a degenerative illness that starts in childhood. Screening for this would find it in six of every 100,000 children tested. But only a small number of these have forms of the disease that can currently be treated, and the drugs needed are not widely available. However, learning that one’s child has this disease could also allow children to join trials of new drugs.”