"The surface of the Earth is the shore of the cosmic ocean. On this shore, we've learned most of what we know. Recently, we've waded a little way out, maybe ankle-deep, and the water seems inviting. Some part of our being knows this is where we came from. We long to return, and we can, because the cosmos is also within us. We're made of star stuff. We are a way for the cosmos to know itself."
-- Carl Sagan
I don't think this makes any sense, what you argue would imply that the external historians would say that Japanese history starts in 1947 or that French history starts in 1958, but I'm not sure if they nor people of those countries would agree with that.
The point is, there's a lot more to history than political organization. A continuous culture and language is a big part of why civilizations extend far beyond the current governing regime.
Same here, reserved a 48GB M5 Pro shortly after seeing the news, and now I see the same retailer raised the price by over $1000. If they honor the sale, then this will be the most short term value I've gotten out of an HN submission ever.
Will the coming wave of AI-assisted amateur traders make markets more efficient especially as they are more motivated to seek value in less liquid places, or will it be like sending children with candy into the playground that the bullies can easily steal? Or is it both? Asking for a friend.
Both have pretty enjoyable design language. The US signs follow colors, red for prohibition, white for rules, yellow for hazards, green for directional and blue for service. For Europe or the Vienna convention that much of the world uses, in respective order it's red for prohibition, circles for rules, triangle for hazards.
And the meaning of the score changes over the years based on the test itself changing. Same goes for the company's GPA requirements where there have clearly been shifts across schools on the amount of grade inflation allowed or even encouraged.
As an aside, I'm not sure if I or the College Board can prove my score at this point.
In particular, I got a bunch of guesses correct because there's a pattern that several options are often related to each other, and either only one is different, (e.g., "Do good", "Do bad", "Be evil") -- in which case the answer is obvious -- or at least there's a contrasting pair which narrows it down to a 50% chance.
I'm confused on the choice of Ford as a champion. Yes SUVs and trucks dominate in the US and that's Ford's focus, but I'm not sure what they learned from the commercial failures that were the Escape Hybrid and the F150 Lightning so that they will get it right and democratize EVs to the masses the second time. Or how their incremental innovations on ICE will translate to the "from the ground up" redesigns needed for a good EV. Or how the elimination of their more affordable cars in the name of chasing higher margin trucks will help bring things to the working class, as Ford's average sale price is now north of $55k, more expensive than the average Tesla.
Also, BYD started as a battery company, not a consumer tech company. Their choice of cell-to-body integration certainly makes repairs hard, but it adds to safety, range, weight, in addition to saving on cost. That looks to me like a very deliberate trade-off, not a sacrifice in the name of undercutting everyone. Tesla did it for their 4680 cell Model Y too.
> And this is fantastic for EV owners in general, assuming the charging network is open to all.
Given that the job descriptions seem to include working with local subsidy programs, I sure hope the Canadian government is going to require an open standard or adding more DC chargers under existing standards.
I see parallels with the failed metric system transition: a voluntary shift with inconsistent policy, the impression that it's all just an elitist/foreign conspiracy, cultural/political resistance, and so on. Of the major developed economies, only Japan is lower on BEV market share. Realistically the transition will probably happen in pockets, for instance California has similar EV sales share as Germany right now.
I put Microsoft in the camp of operating system maker, as they are only able to run others' models. The "Give them three tries" meme can play out well for them yet!
This all feels like a race where the model companies try to solve doing work locally in a way that doesn't suck, before the major operating systems companies figure out AI integration into their OS that doesn't suck. It also makes me wonder why Google which has both Gemini and Android can't figure this out, and if there are lessons to draw from that.
I'm going to ignore the valid concerns about a small group of people hijacking flag designs here, but I think the underlying issue with identical boring flags is design by committee that:
1. Is established by the mandate that the old flag isn't salvageable,
2. Isn't experienced in actual act of designing a flag (why would anyone be?),
3. Can't imagine anything safer than a generic hill / river + sun / star to represent the region, and
4. Hires an artist who is also not an expert in flag design, but would gladly put another compass rose above a wavy line next to a triangle.
I've seen the same play out with seal redesigns too. A degree in art history (let alone watching a TED talk) doesn't make you a good painter.
Sorry for the late reply, I regret the dramatic comparison to obvious physical harm. The argument is we tend to recognize industry-scale externalities after the fact, and that AI infrastructure costs are currently underpriced and borne by all, including non-participants. Gasoline with lead and asbestos both had great positive impact that we don't talk about anymore, because they are lessons in the negative side not being properly accounted for until much later.
This is a late reply, but the point isn't aggregate demand. RAM price inflation directly harms people who have no stake in AI and made no choice to participate in this buildout. That's the definition of a negative externality, costs borne by non-parties. "Money steers the ship" is exactly the issue, when prices don't capture full social costs, markets like the AI suppliers will overproduce. Whether AI ultimately proves beneficial is a separate question from whether current pricing (of AI) reflects true costs.
For the record I'm leading the AI program at my company and am very vested in the positive side. But one can also be aware there are downsides, more so than complaining.
This is textbook negative externalities, of the AI buildout on everyone who isn't using RAM/GPUs for AI, of the use of electricity and water on anyone who isn't using it for AI. The cynic in me thinks this will go down in history alongside asbestos, leaded gasoline/paint, and the opioid crisis.
And the direction is definitely towards removing that subsidy really soon. We can see it with OpenAI's shift to API-equivalent pricing for enterprise customers last month. Anecdotally my company saw OpenAI credit usage grow 2x with stable use across the ChatGPT platform, which is pretty terrifying considering just 2% of the company uses Codex.
For context, ChatGPT business subscriptions give you a fixed pool of credits to use, after which you get billed a la carte at inflated 1.75x rates vs API, or if you don't want to pay, you get access to anything but the non-reasoning models turned off for the month.
We also tried Claude Enterprise, which was unusable as people blew through their monthly limits in a matter of hours.
I've been getting this weekly from colleagues. It's very much an epidemic right now! And the port number is indeed almost always a random number between 8000 and 8100.
Actually throw away as in discard and leave behind in China? I thought the logical thing to do would be to put them into a faraday cage and inspect them later in a lab.
OpenAI being more aware of the implications would help too--last year I also struggled with using Codex to write scripts to run Codex headless, because it kept insisting that Codex was a retired model from the GPT-3 days and not a program that could be called by a script.
Sadly I feel the Excel analogy holds still, where maybe 80% of its users can't write a SUMIF() formula or make a pivot table to save their lives, yet they will happily use Excel every day as digital grid paper. Meanwhile Microsoft made a lot of money selling Excel licenses.
Unfortunately, I looked, so let me add to this game, starting with the fact you omitted Europe:
Company 1: Europe ~0% (trucks & SUVs just don't sell well there it seems)
Company 2: Europe 7%
Company 1: Manufactures in 8 countries, 2/3 of its factories are in North America.
Company 2: Local production of cars in 25-30 countries depending on partnerships.
See Doron Ben-Atar, Trade Secrets: Intellectual Piracy and the Origins of American Industrial Power. Concern for IP tends to come _after_ a country develops.
Ah yes, I had a 89 Titanium (bought with the funds from a math prize) that felt like sanctioned cheating for College Board exams. The year I took the AP physics test, there was a surreally difficult integral or differential equation that I owed completely to the calculator. I never did as well in math competitions since getting that thing, but no regrets.
You might be omitting the foreigners that are not in the United States that are being treated rather badly by the United States. I suspect that's what GP was referring to.
No joke, I use Facebook every year or so to access the marketplace and at the time my feed was roughly half rage-bait, and the other half being what I can only describe as AI-generated almost-pornography. Both had thousands of what looked like genuinely real interactions per post, mostly from developing country users.
The 3x2 is fascinating, it's the same resolution as braille, albeit rotated 90 degrees. I wonder if this could become a braille-like system that's both visually and finger-readable.
Note: there are repeat glyphs here like c and o, though the example actually uses a different c somehow. But perhaps repeats are ok given context.
The Hong Kong Metro is also very well planned, architected, and generally well run operationally. So much that the MTR corporation actually offers international consulting services. And for two decades, they have consulted with many mainland Chinese metro systems, hence it's no coincidence that the Shanghai and Shenzhen metros both look and feel very similar to HK's.
Even through college I've found that it's hard to optimize for grades vs learning. I've had teachers spite me for disagreeing with them.
Then I developed a formula that essentially went, "While {common sense assertion is true}, we need to consider the nuanced implications of {regurgitated pros/cons}." Combined with the smooth fluff and flow from using speech recognition with minimal edits, suddenly the A's started rolling in. I later found this of course works wonderfully with standardized testing essays in the GRE and GMAT.
Edit: I realize now why I get (even if I don't fully agree with) the 'stochastic parrot' dismissal of language transformer models, I basically lived it.