zhoujing204

Pretty much every large Chinese company has state capital baked into it, and these companies will follow the Chinese government's orders 100%. Don't believe anything a Chinese company says about being "open" or "for everyone." Backing any large Chinese company effectively means backing the Chinese government and its oppression in Xinjiang, Tibet, Hong Kong—and maybe soon Taiwan, Southeast Asia, and elsewhere around the world.

> Previous research indicates improvements of 2–4% in running economy (RE), which translates into an approximate 1–2% improvement in running performance when running in these shoes.

- https://www.mdpi.com/2813-0413/5/1/2

- https://pubmed.ncbi.nlm.nih.gov/29143929/

- https://sportrxiv.org/index.php/server/preprint/view/297

This feels like whataboutism. That line of argument isn’t new and is often associated with pro-Kremlin narratives—do you have a more substantive point to add?

"As of 1 April 2026, there have been five incidents in which a spacecraft in flight suffered crew fatalities, killing a total of 15 astronauts and 4 cosmonauts.[2][how?] Of these, two had reached the internationally recognized edge of space (100 km or 62mi above sea level) when or before the incident occurred, one had reached the U.S. definition of space at 266,000 ft, and one was planned to do so. In each of these accidents, the entire crew was killed. As of April 2026, a total of 791 people have flown into space and 19 of them have died in related incidents. This sets the current statistical fatality rate at 2.4 percent."

[wiki link](https://en.wikipedia.org/wiki/List_of_spaceflight-related_ac...).-,During%20spaceflight,fatality%20rate%20at%202.4%20percent.)

Most people on Hacker News aren't ignorant, but they might be biased. You say both fractions are filled with criminals, and while parts of that might be true, it's far from the whole picture. Can you name anyone in the Democratic party who has caused as much damage as Trump? Missiles killing over 100 innocent children, inciting MAGA to storm Capitol Hill on January 6th, using presidential power to increase personal wealth by billions in one year, straining relationships with almost all democratic allies, massive layoffs in federal research institutions, and severe cuts to research funding that could damage the US research system for decades. His insane tariffs led to skyrocketing prices, economic disorder, and possibly a recession.

Iran shouldn't have nukes, but starting a war—burning billions of dollars a day, killing kids and innocent civilians, and leveling bridges and universities—is objectively the worst possible way to prevent it.

The JCPOA under Obama actually did a solid job of constraining their nuclear development. That was the pragmatic approach, but Trump just unilaterally scrapped the deal. He doesn't have an actual strategy, maybe just "concepts of a plan".

I am not a native English speaker, I can do reading fine, but writing is a big trouble for me, especially formal writing and academic writing, AI can do help me writing better, of course I'll review what AI generated.(Above all are not written by AI obviously.)

How far is "near," really? Human civilization took tens of thousands of years just to discover a new continent, and the ocean back then was essentially as vast and impenetrable as space is today. If we ever actually develop near-lightspeed spacecraft, are we seriously assuming the first thing we'd do is build weapons capable of annihilating entire civilizations — and then actually use them? Oh my god, we already have those weapons, and the most likely target has always been ourselves.

Liu Cixin's Dark Forest theory is a pretty dumb take, honestly. Just look at Earth — different species don't constantly try to wipe each other out. Sure, it happens sometimes, but it's actually relatively rare, and a lot of the time extinction isn't even intentional. Like, a huge chunk of Native American deaths came from disease, not deliberate extermination.

At the end of the day, Liu Cixin is basically a social darwinist who's got a thing for authoritarianism, and it bleeds through pretty heavily into his work. Dude is massively overrated imo.

Sure, you are absolutely right. Even a sloppy study like this still had something useful than any anecdotes.

The study may well be flawed—small n, selection bias, lack of proper controls, sure. But can we please stop using personal anecdotes to dismiss scientific inquiry?

Arguments like 'well, it works for me,' or 'I took this med and recovered immediately,' or 'I saw X happen right after a vaccine' are not valid refutations. Science is frequently counter-intuitive and often contradicts our personal experience and gut instincts. That is precisely why we rely on the scientific method and statistical rigor—rather than individual perception—to establish evidence.

Dictators are absolutely terrified of the paper trail. This is the entire reason for existence of the Great Firewall. The CCP invests heavily in sanitizing imported literature and curating the information supply to maintain cognitive capture over the populace.

We are seeing parallel mechanics from the Trump/GOP camp: look at the library purges in conservative states and the push to co-opt moderation on platforms like TikTok. Access to the historical record isn't just a detail; it is the fundamental substrate of free speech.

"It is not possible to do the work of science without using a language that is filled with metaphors. Virtually the entire body of modern science is an attempt to explain phenomena that cannot be experienced directly by human beings, by reference to forces and processes that we can experience directly...

But there is a price to be paid. Metaphors can become confused with the things they are meant to symbolize, so that we treat the metaphor as the reality. We forget that it is an analogy and take it literally." -- The Triple Helix: Gene, Organism, and Environment by Richard Lewontin.

Here are something I generated with Gemini:

1. Sentience and Agency

The Horse: A horse is a living, sentient being with a survival instinct, emotions (fear, trust), and a will of its own. When a horse refuses to cross a river, it is often due to self-preservation or fear. The AI: AI is a mathematical function minimizing error. It has no biological drive, no concept of death, and no feelings. If an AI "hallucinates" or fails, it isn't "spooked"; it is simply executing a probabilistic calculation that resulted in a low-quality output. It has no agency or intent.

2. Scalability and Replication

The Horse: A horse is a distinct physical unit. If you have one horse, you can only do one horse’s worth of work. You cannot click "copy" and suddenly have 10,000 horses. The AI: Software is infinitely reproducible at near-zero marginal cost. A single AI model can be deployed to millions of users simultaneously. It can "gallop" in a million directions at once, something a biological entity can never do.

3. The Velocity of Evolution

The Horse: A horse today is biologically almost identical to a horse from 2,000 years ago. Their capabilities are capped by biology. The AI: AI capabilities evolve at an exponential rate (Moore's Law and algorithmic efficiency). An AI model from three years ago is functionally obsolete compared to modern ones. A foal does not grow up to run 1,000 times faster than its parents, but a new AI model might be 1,000 times more efficient than its predecessor.

4. Contextual Understanding

The Horse: A horse understands its environment. It knows what a fence is, it knows what grass is, and it knows gravity exists. The AI: Large Language Models (LLMs) do not truly "know" anything; they predict the next plausible token in a sequence. An AI can describe a fence perfectly, but it has no phenomenological understanding of what a fence is. It mimics understanding without possessing it.

5. Responsibility

The Horse: If a horse kicks a stranger, there is a distinct understanding that the animal has a mind of its own, though the owner is liable. The AI: The question of liability with AI is far more complex. Is it the fault of the prompter (rider), the developer (breeder), or the training data (the lineage)? The "black box" nature of deep learning makes it difficult to know why the "horse" went off-road in a way that doesn't apply to animal psychology.

More recent papers: https://www.nber.org/papers/w32389(2015-2016 Germany), https://www150.statcan.gc.ca/n1/pub/36-28-0001/2024003/artic... Canada), https://www.sciencedirect.com/science/article/pii/S017626802... USA). Overall, recent economic evidence suggests that immigrant workers, on average, enhance the opportunities and incomes of native workers.

It might be a pretty useful tool for education. College courses related to Python and AI on Coursera have heavily used Jupyter Notebook for assignments and labs.