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GlibMonkeyDeath commented on I Just Returned from China. We Are Not Winning   nytimes.com/2026/02/10/op... · Posted by u/SilverElfin
markus_zhang · 13 hours ago
A few weeks ago in New York, I was sitting at a dinner organized to discuss American trade when the conversation swiftly turned to China. Well-credentialed experts took opposite stances: Some supported President Trump’s muscular, aggressive positions, while others pushed for a less confrontational, more conventional approach.

I am no expert on trade, but I have made investments in China for years and had just returned from a weeklong visit. Eventually summoning my nerve, I suggested that neither approach would work. China is just too formidable as a rival — as well as a critical manufacturing powerhouse — to be reined in by diplomacy or an aggressive shift in policy. The only real solution is to get our house in order and beat China at its own game.

The need to do so is only growing, because the commotion of Mr. Trump’s first year back in office has set America back. In addition to manufacturing, China is threatening America’s pre-eminence in a range of fast-growing sectors, including artificial intelligence and pharmaceutical drug development. While he has tried to cut our spending on important government functions like basic research, China has made them national priorities.

China’s progress in A.I. has been stunning. While it still lags the United States in terms of cutting-edge semiconductor chips, China has an abundance of another key ingredient of A.I. success: power. It has more than twice as much generating capacity as we do, and some of its data centers pay half as much as ours for power.

That has helped it develop products like Manus, with exceptional speed. An A.I. agent with performance rivaling ChatGPT’s, it was sold to Meta for more than $2 billion shortly after my visit.

Human capital is a key ingredient of China’s success. I met with innumerable young entrepreneurs whose energy and intelligence at least matched that of their Silicon Valley counterparts, including one billionaire who still sleeps in his office. For all of Mr. Trump’s tariff bluster, we are not winning this trade war. The Asian goliath powers on as the world’s largest exporter, its trade surplus having notched a record $1.2 trillion last year. That overall increase suggests that many Chinese goods are simply passing through middleman countries before reaching U.S. shores. Tariffs or no, everybody needs Chinese goods. Consider cars. During my trip, I toured Xiaomi, a smartphone and electronics manufacturer that announced its entry into the electric vehicle industry just five years ago. In a sprawling facility almost devoid of humans, hulking mechanical creatures that look like robotic dinosaurs effortlessly nudged aluminum panels into place as cars moved down the line. In the lobby sat a yellow sports car that could easily be mistaken for a Porsche.

I visited a robotics company where what looked like plastic children’s toys scampered across the floor, demonstrating the firm’s progress toward building humanoids that could replace humans in certain tasks. (In 2024, China installed nearly nine times as many industrial robots as the United States.)

After a visit, Ford’s chief executive, Jim Farley, last summer pronounced China’s in-vehicle technology “far superior” to American models’ and described Chinese progress as “the most humbling thing I’ve ever seen.” Coincidentally — or not — Ford recently stopped production of its F-150 electric truck and took a huge $19.5 billion write-down on its electric vehicle efforts.

Then there’s drug development. Just a few years ago, China was still licensing many of its pharmaceuticals from companies overseas. Now it licenses more drugs to other countries than it licenses from them, and it has surpassed the United States in its number of clinical trials.

Of course, China still faces challenges. The consequences of a still deflating property bubble continue to ripple. Partly as a result, consumers have yet to open their wallets. With slowing growth, youth unemployment surged to nearly 20 percent (and has backed off only slightly). Investment has fallen.

That adds up to the fact that there are two Chinese economies: a sluggish domestic economy and the colossus that dominates global manufacturing while making extraordinary progress in fast-growing, technology-oriented fields that have long been American led.

China has achieved this success in part via its model of state-directed capitalism. When the government realized it was losing the A.I. race, it made clear that catching up was a national priority and backed that up with money, regulatory relief and the development of huge amounts of electricity-generating capacity. We can see the results. Competing against China will be difficult under the best of circumstances. Clearly we need to rethink our industrial policy — the way we can deploy our government resources to support strategically important industries, which is our version of state-directed capitalism. Unfortunately, the Trump administration’s incoherent policies are creating a truly bad set of circumstances.

For starters, we need to reverse the cuts that Mr. Trump has made to investments in science and other areas. And while I’m plenty skeptical about the ability of a democratic government to pick winners, we no longer have the luxury of confining Washington to the sidelines. In particular, we should focus on industries of the future, many of them technology related, and tone down Mr. Trump’s emphasis on traditional metal-bending manufacturing. For example, thanks to the CHIPS and Science Act passed under President Joe Biden, huge semiconductor fabs are under construction in Arizona and elsewhere. Redirecting government goes beyond spending. We lack critical minerals not because they are rare but because securing permits for new mines and processing facilities is so difficult. We can surely find a way to develop our mining capabilities without compromising reasonable environmental standards.

What Mr. Trump should learn — as should everyone else — is that we are not going to beat China by imposing tariffs or by attempting to negotiate trade agreements that China would probably violate. (Importantly, sound industrial policy does not mean taking stakes in companies or demanding royalties, as the Trump administration has been doing.) Outpacing China has to begin at home, by getting our own economic house in order, a challenge that also should motivate Mr. Trump to rethink a large range of his policies.

GlibMonkeyDeath · 10 hours ago
"a challenge that also should motivate Mr. Trump to rethink a large range of his policies."

Thanks for the laugh!

GlibMonkeyDeath commented on Looks Aren't Everything? Clavicular Begs to Differ   nytimes.com/2026/02/13/st... · Posted by u/tysone
GlibMonkeyDeath · 10 hours ago
'Earlier that day, Clavicular confessed that knowing he could have sex with a woman was in some ways better than the deed itself, which “is going to gain me nothing.” “It’s a big time saver,” he said.'

'(Though Clavicular has never been diagnosed with an autism spectrum disorder, he frequently refers to himself as an “autist”...)'

You think? :)

GlibMonkeyDeath commented on Is particle physics dead, dying, or just hard?   quantamagazine.org/is-par... · Posted by u/mellosouls
GlibMonkeyDeath · 4 days ago
It's hard. Particle physics faces the problem that in order to dig down to ever smaller scales, ironically, ever larger experiments are needed. We've pretty much built large enough colliders for our current understanding. No one really knows how much more energy would be needed to expose something new - it might be incremental, within current technical reach, or it might be many orders of magnitude beyond our current capabilities. The experiments have become expensive enough that there isn't a lot of appetite to build giant new systems without some really good reason. The hard part is coming up with a theory to justify the outlay, if you can't generate compelling data from existing systems.

Physics advances have been generally driven by observation, obtained through better and better instrumentation. We might be entering a long period of technology development, waiting for the moment our measurements can access (either through greater energy or precision) some new physics.

GlibMonkeyDeath commented on Invention of DNA "page numbers" opens up possibilities for the bioeconomy   caltech.edu/about/news/in... · Posted by u/dagurp
GlibMonkeyDeath · 8 days ago
What really blows my mind about this is that they are using off-the-shelf T4 Ligase to ligate the junctions. I figured this was going to be some tour-de-force of enzyme engineering, but nope, all the reagents are pretty much commercially available.

It is super clever and exciting. Note that people have been able to assemble short (<100 bases) DNA oligomer fragments of synthetic DNA into longer fragments using "splint" oligos since forever. But in this case, each splint has to be custom engineered to only bind to the junction of interest (in practice it is pretty tricky and expensive to do this.) These guys figured out a way to use engineered sequences to make the match, and used a clever (but also more or less standard) way to chew up the engineered stuff, leaving behind only the desired long assembly with no scars at the end of the process.

GlibMonkeyDeath commented on We (As a Society) Peaked in the 90s   chris.pagecord.com/we-as-... · Posted by u/stog
GlibMonkeyDeath · 11 days ago
I think the Gibson quote is applicable: "The future is already here – it's just not evenly distributed." Some people are going to remember the 2020's as a time that AI was new, and the eventual winners will look back with nostalgia at all the opportunity. I guarantee HN will have a post in the 2050's about how Moltbook was the peak of society (probably written by an AI agent, though...)
GlibMonkeyDeath commented on We (As a Society) Peaked in the 90s   chris.pagecord.com/we-as-... · Posted by u/stog
throwyawayyyy · 12 days ago
If you want to sum up the 90s in the UK for people like me who became adults then, it would be the song, "Things can only get better". A little embarrassing, yes? Naive? and yet there really was an optimism then. If things weren't great (and objectively it was a poorer country), they were getting better, and they could get better, and they would. Happiness is more about cake tomorrow than cake today, and in the 90s you really could believe it. Do we have that belief now? Managed decline, it feels like, is the best the UK can offer.

To make this a bit more pithy: in the 1990s we were excited about the coming 21st century. In 2025, do we think the 2030s are going to be better, really? Or are we looking down the barrels of one maturing catastrophe over another?

GlibMonkeyDeath · 12 days ago
I haven't heard a frankly optimistic piece of pop music in a very long time - the example I can think of from the 80-90's in the US is 10,000 Maniacs ("These are Days" was a Clinton campaign theme song.) Some people bash them is trite "concern rock", but at the time there really was optimism that society could be (and would be) improved.
GlibMonkeyDeath commented on Solar panels on land used for biofuels could power all cars and trucks electric   ourworldindata.org/biofue... · Posted by u/alphabetatango
GlibMonkeyDeath · 15 days ago
Not surprising at all - photovoltaics yield about 50 W/m2 on average at mid-ish latitudes. Last time I checked (see below) biofuels are around 100x less efficient per acre (and in the case of algae-based biofuel, have a lot of post-processing that make them even less attractive.)

1 acre of corn ~ 500 gallons of ethanol (~6kWh/Liter for ethanol) so 50046e3 = 12 MWh/4046 m^2 ~ 3000 Wh/m^2 for corn. If there is one growing season per year, then that energy is spread over 24*365 hours. So about 0.3 W/m2 on average.

Of course, the ethanol can be stored, and has a pretty awesome energy density. So it isn't completely stupid (e.g. aircraft are a thing), although it is pretty stupid.

GlibMonkeyDeath commented on The Peter Pan Economy: Waymo and the Market Distortion of Infinite Runway   softcurrency.substack.com... · Posted by u/chrislguo
GlibMonkeyDeath · 16 days ago
>Alphabet keep funding Waymo. >Friendly venture funds agree on a higher valuation. >Everyone marks up their spreadsheets. >No one has to find out what the company is actually worth in a public market.

While true to date, this can't go on literally forever. Waymo has to somehow bridge the gaps between hype, revenue, and eventually profits that justify the valuations (i.e. "grow up"), but they have a huge advantage to do this: their tech actually works. The moat isn't just capital availability, they solved a very hard problem, and that will protect them for a while going forward.

GlibMonkeyDeath commented on Bill Gates-backed startup develops optical transistors 10,000x smaller   tomshardware.com/tech-ind... · Posted by u/smusamashah
GlibMonkeyDeath · 18 days ago
In case anyone is wondering, from looking at their patents they are doing fairly standard Fourier optics. That is, one lens takes a Fourier transform of an image onto a spatial light modulator, then projects it back onto a detector chip. This amounts to a convolution operation in real-space. Since all the optical stuff happens in parallel, it can be performed as quickly as the modulators can be set up and the detectors read out (which can also be parallelized.)

The classic book about this kind of approach is Goodman: https://www.amazon.com/Introduction-Fourier-Optics-Joseph-Go...

It's basically a hardware accelerator for a convolution - an important step in a neural network, but it isn't a general purpose processor (so beware their benchmarks of "Ops per second" - these aren't equivalent to CPU/GPU ops.)

GlibMonkeyDeath commented on Show HN: I built a privacy-first retirement simulator in React (no login)   retirefluent.com... · Posted by u/manizkrishnan
GlibMonkeyDeath · 25 days ago
Love it!

I might consider adding a little more granularity to the "monthly expenses" part. You already split out medical expenses, which is good. The other big two are housing (mortgage, taxes, insurance, maintenance) and planning for college educations (since it looks like this is for the US.) That last item was an eye-opener for me when I did it 20 years ago (both kids thankfully out of college now...)

In my own planning I also split out "mandatory" (e.g. food, utilities, transport,...) vs. "discretionary" (vacation, hobbies, etc.), not sure if that is a compelling feature though.

Otherwise looks great!

u/GlibMonkeyDeath

KarmaCake day296May 13, 2023View Original