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highfreq

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On the other hand Vision Pro's price will go down and quality will go up. Apple has the deep pockets to continue to invest until the technology really delivers at a mass market price. This wasn't really there for the labor intensive high-touch Starcruiser experience.

So they are using the following GPT-4 prompt:

-- compress the following text in a way that fits in a tweet (ideally) and such that you (GPT-4) can reconstruct the intention of the human who wrote text as close as possible to the original intention. This is for yourself. It does not need to be human readable or understandable. Abuse of language mixing, abbreviations, symbols (unicode and emoji), or any other encodings or internal representations is all permissible, as long as it, if pasted in a new inference cycle, will yield near-identical results as the original text: --

There is no reason to think GPT-4 has any special knowledge about prompts, or how they should be effectively compressed so that it will treat it as equivalent to the original. It does an interesting job of faking it. But they are basically asking GPT-4 for a stylized version of "summarize the following:".

JoeScan | Vacouver, WA | Software Engineer (C++/C#)| ONSITE | https://joescan.com

Are you a wiz with gnarly requirements who chews up bugs and spits out stunningly documented code? We’re on the hunt for a software cowboy with a firmware flare to help our seasoned team wrangle that next batch of gold standard sawmill scanning products to market. You’ll need gumption to pull it off: a knack for self-direction and an aptitude for customer support goes a long way in these parts. You’ll also need to work well with others; there are no lone rangers in this outfit. It’s a tall order, but you’ll be richly rewarded if you can make the grade.

This is an opportunity to make a difference. Sawmills throughout the world will depend on the technology you develop to get the most from our forests.

https://joescan.com/people/careers/

GNU Octave 4 years ago

Compared to numpy, octave has a nicer syntax for matrix math, but a bit idiosyncratic as a general language. It doesn't have anywhere near the ecosystem of Python/NumPy/SciPy. It is also nice in that there is a standard development shell with REPL plotting, debugging and text editor. Like numpy it is pretty slow if you have to actually use for loops over large data sets.

Don't know about R.

China Cancels H&M 5 years ago

But if corporations are amoral, why shouldn't they pretend otherwise? It is to their benefit, and they are obliged to make decisions to their benefit regardless of moral considerations.

If a company's job postings said "We are an amoral corporation and we don't pretend otherwise", would that help their hiring?

I agree that we should take a skeptical view to corporations virtue signalling. But I also think even democratic governments have at best a marginally stronger claim to moral virtue. That combined with the challenges of crafting regulations that achieve the desired results (desired by who though?), with acceptable levels of negative expected and unexpected consequences (acceptable by who?). Good regulation is important, but it is fiendishly difficult to do well.

Sounds like the skills needed to make a big impact with JoeScan. https://joescan.com/people/careers/

We are not exactly a startup, but are small and growing fast. We develop very high performance machine vision products, which provide tremendous efficiency gains to our sawmill customers. Plus, we are located in Vancouver Washington, on the Columbia River and a short drive from the Cascades.

I work in sawmill technology. Way back in history 2x4 were cut to 2" x 4". In a modern sawmill 2x4s are never cut to 2" x 4". They are cut to a thickness and width such that given saw deviation, and variable drying shrinkage nearly all boards will cleanly plane down to 1.5" x 3.5". The exact target dimensions will depend on how well the mill can control their saw deviations and the statistical range of shrinkage they expect for the wood they are cutting. Reducing dimension targets by controlling saw deviation and understanding drying shrinkage is a big part of sawmill efficiency and profitability.

I'd guess that this is similar to the Netherlands, where it is primarily a function of household debt, and many households having negative net housing equity. [https://ec.europa.eu/info/sites/info/files/economy-finance/e...]

The wealth inequality gini coefficient is not very useful and misleading. You could have a country where people choose to take on debt when they are young, and all of them end up with the same higher level of wealth later in life. This would be a very equal society, but could have a very high wealth inequality gini coefficient. To actually judge the wealth inequality of a society the analysis should be done cross-sectionally, comparing within age cohorts. [https://www.sv.uio.no/esop/english/publications/articles/201...]

Any enthusiast message board would be unable to remove political offtopic material without losing section 230 protection. I don't really want to wade through a bunch of political ranting when I want to learn about the best graphics card for the newest AAA game. But on that same site I may want to read about some potential defamatory claims about manipulation of benchmarks.

I'm not sure I like that solution.

I would imagine Amazon is likely to be sued if they continue allowing Parler to remain on their cloud without dramatically improving moderation of violent and illegal content. Sure Amazon could probably fight such a suit and win, but why would they waste that money and take that risk? Plus, who really want to be seen as fighting for Parler right now?

Maybe Amazons motives are not really based on their obligation to protect the company from unnecessary liability. Maybe that is just a handy excuse for getting rid of a customer that is hurting their reputation. It is difficult to say from the outside. But even then how do we decide which companies are allowed cease business with customers damage their reputation. What if a smaller provider has an existentially large customer who threatens to leave if they don't stop doing business with another unsavory customer. Will have a rule that is so strict they just have to go out of business? Or will we not allow the large customer to leave? It is god damned mine field.

This is all such a beautiful example of the immense complexity of the real world. People must make hard decisions where there are no clearly right answers. Maybe they try to do the most ethical thing, maybe they look out for their company, or maybe they serve their own selfish interest. Regardless, there is lots of potential for unintended consequences. For one, others will then frame those actions and the consequences in a narrative to support their own business or political goals.

It is an interesting questions. My feeling is if-then-else falls some where between invented and discovered, something like mathematics. Once we had discovered the need for conditional control flow, any decent assembly language programmers would quickly discover many patterns for how it could be used. Eventually, these patterns were clarified and codified into languages and more abstract formalism. Like in much mathematics, that abstract formalism was am inevitable discovery once we took as axiom the basic logic of program control flow with conditional jumps.

It is such a basic, clear, and useful formalism, it is hard to imagine it not becoming widespread under some name/syntax.

But if-then-else is only clearly inevitable if you take as axiom the existence of store program computers with control flow. I can much more easily imagine that early on we invented a very different way to do computation as a whole. It seems likely that what we have actually invented is on a path toward a local optima.

I'm not sure how this stands up if you control for the the obvious selection bias. After all most people aren't going to switch jobs unless there is a substantial pay hike.

Much of the data could be because people who are significantly underpaid can and do switch jobs and get a big salary bump to market rate. But once someone is at market rate, it is difficult to find a job that pays super market rates, so they stay put.

The authors don't provide any longitudinal data to show that serial job hoppers get paid more over the long run. They provide anecdotal hearsay, and a questionable extrapolation from statistical data.

40 years of history showing failure, of course for most of that time they have had between a millionth and half the computing power we have today, and most of those years had now where near the capability of image sensors and other sensors. So how much weight should we really give history on something like this?

Interpreting Noise 12 years ago

While I think the articles most point is reasonable. The choice of stocks as an example is a poorly one. Because prices are reacting in large part to news. To the degree that the news presents something material and unsuspected it influenced peoples trading. Of course good news doesn't always lead a stock to increase, because sometimes most investors are expecting better news. Certainly there is a lot of randomness, but for heavily traded stocks the impact of news is real and substantial. Unexpected good news most often leads to an increase in stock price, and unexpected bad new most often leads to a decrease.

In some cases it is reasonable to expect more. But, if other people are offering the same obvious solution for $25, then $25 is a reasonable reward, regardless of how much it saves the company. In which case expecting more than $25 is greedy.

Pinker wrote an interesting and thought provoking book. Certainly he is trying to make a point, and is a bit selective in the data and how he presents it. But this critique is not so much about the substance of the book, or any data that contradicts Pinker's thesis. It is more a blur of relativism and fancy language. I think it is interesting that physical violence has on many measures and timescales been declining, which the critic doesn't seem to refute. Instead he makes a very odd attack on Pinker for not writing a different history of different meanings of violence. I mean you could make this same critique about anything anyone has ever written, but that would be mere sophistry.

I seriously question if this isn't a parody of modern academic criticism.

By luck and skill you found a temporary systematic bias that other players missed. It was even luckier that you found it without a lot of upfront losses. But you could have made many attempts and not found any bias and overall lost money and gave up. If lots of people are losing small sums to find these biases, then it may be that the expected return of trying to find biases is zero or negative.

At best HFT is a near zero sum game. It isn't creating value for customers. It isn't making the world a better place.

It is an unfortunate flaw of our economic system that so many smart people put so much effort into playing zero sum games with each other.

I don't believe they have a 99.999% SLA. That was their historical up-time.

I just misread their statement. They probably meant the up-time before this incident.

"Throughout our history, we have provided 99.999% uptime in our DNS infrastructure. This is the level our customers expect from us and the level we expect of ourselves. We have let our customers down and we know it."

How can they claim 99.999% uptime, when they just had several hours of service outage? I'm not sure how long they've been providing DNS hosting, but by the most generous assumption this would be the entire 15 years of their existence. 99.999% allows them about 1.3 hours of outage in 15 years.

The primary lever the Fed has to influence inflation is interest rates. Low interest rates tend to increase actual investment, in factories new businesses, etc, and eventually drive inflation up. Increasing interest rates now would most likely trigger a deflationary spiral.

I somewhat disagree. Rich is always relative. Having substantially more money than you need to live the lifestyle you want to live is rich by my standards.