skysight-inc/HackerNews huggingface dataset:
> The Apple machines are nowhere near the top of the line from this perspective. If you care about CPU/watt then the M1 looks pretty awesome. If you care maxCPU, the M1 is currently not particularly interesting.

That is true today.

A very simple way forward for Apple is to follow in the footsteps of AMD with a chiplet design.

All modern CPUs so far have been thermally limited, so being really good at CPU/watt is a huge advantage. If they can package 2 M2 (next gen) chips in a package for power users and 4 for their Mac Pro, they could be on top of the world in very short order.
> I contend that if you are not taking a test it’s because you didn’t need a test.

Another reason you might not take a test is that you don't know you need it.
I lived in SF (and worked in tech) 2012-2013. I could see problems, but it certainly wasn't "turning into a dump" at that point.

Your argument seems to basically be, once the high-salaried tech workers leave, the city will get worse. But as far as I can tell, the presence of the high-salaried tech workers has been making the city worse over the last decade, and if you think it's anywhere near "a dump," I think a lot of people will be glad to get back the SF of years past (such as the SF of a couple of years before I arrived, before the second startup boom, before modern venture capital existed, before Uber and Airbnb, during the recession and the dot-com bust - the SF about which people like me said, I'd like to move there).
This is a very misleading statistic you're providing, especially to people who may not be as data-oriented as us, and also a very broad assumption that definitely doesn't hold. Case positivity is a real number based on number of tests, it's not making inferences on things like the rates among those who haven't been tested.

I understand this is your site and you built it, and it's hard to let that go. But, I would implore you to rethink it until you get the data needed to add real insights to the conversations, not misleading stats based on what you have now.
I love Yngwie. His music got me into classical music, just like jazz fusion guitarists like Holdsworth got me into more traditional jazz.

Don't see a lot of new guitarists playing neoclassical guitar anymore, but that's okay I guess. Maybe someday Michael Romeo will release a half decent Symphony X record with some neoclassical licks, but I'm not holding my breath.
You clearly don't frequent the WSJ opinion section. Try searching for "site:wsj.com california" on Google and let us know what you get. Dig a little deeper and you'll find that what's actually happening is the Murdoch's are allowing a Fox Newsification of the opinion section, essentially a compromise between the actual journalists there and trash/gutter opinion pieces intended to push a narrative. There's even news about this news[1]. So no, this isn't some game of 19 dimensional chess, its just a stupid false narrative being pushed by people with power, vested interests, massive jealousy, thin skin, and many grudges.

[1] https://newrepublic.com/article/159953/will-wall-street-jour...
The quote tweet drag has evolved into the quote tweet airfoil.
Kustomer to Join Facebook, Helping Brands Thrive in the Digital Economy
They're very common here in NZ, where our internet and WiFi connectivity beats the pants off USA.
Sure, so what? Anyone smart and dedicated enough to complete a Phd is smart enough to realize this going in. Surely the vast majority of people getting Phds don't expect to ever become academics and have some other plan.
Huh, I stand corrected, thanks. Did that change at some point or have I been consistently wrong?
> How much are you willing to bet?

I bet if (post-facto) they got $1 for each person reading on a phone and paid $1 for each person reading on a not-phone, they would come out ahead.
Ask HN: How to market a product before launch?
As someone new to entrepreneurship, I would say 90+% of the advice I've been receiving so far is 'make sure people want your product before you build it', or various platitudes along those lines.

We're well on our way towards a polished 'beta' launch of our product, but I took this advice somewhat seriously and went ahead and developed some pre-launch marketing materials for our product that essentially give a preview of the UI and describe our various features.

However, I've realized that I have no clue what to do with these. How am I supposed to get people to care about some images and text that describe a product that they can't use? Where would I even post such materials?

More generally, I suppose, how is one supposed to test product-market fit without a product? I'm really not sure how I should be interpreting and acting upon this advice.
death of ivan ilyich by tolstoy
Clearly Linux is an important application to run for some Mac users since Apple took the time to show Debian running during their keynote (Photoshop only got a passing mention).
More often than ever
For instance, I have:

fileSystems."/zfs/media" =
{ device = "tank/media";
fsType = "zfs";
};

in my hardware-configuration.nix. tank/media is defined as using a legacy mount-point or whatever the ZFS terminology is. Done.

ETA: I mean, I had to do all the gruntwork to get the pool built, yeah. But once it was defined, getting it mounted and all the kernel bits and bobs set was trivial like that.
Google Reveals Major Hidden Weakness in Machine Learning
i routinely see drug needles on the ground or junkies shooting up in Seattle too.
Yes, pretty much; almost like NOPing out code in binary patches. However double check about the thiophosphates. I might be wrong. It is either Morpholinos are blockers and thios are promoting destruction of the mRNA or the opposite.
Doesn't even have to be a visionary executive. This is one of the decisions where a senior engineer writing the design doc one way or the other can easily make the difference in how the final product looks like.

Also, besides marketing, reduced compliance costs. Once police etc. realize that you can't provide useful data, they stop asking.
Edited to add: I was getting 12h+ on thinkpads going back as far as 2005, the "all day battery life" thing isn't that new to me either though

Pretty sure you weren't watching or editing 4k video for that amount of time, which is what people are doing (and more) with these M1 Macs that last all day.
That’s way better than I imagined. Would love to have seen some keyboard feedback by typing into the terminal screen.
So what I should then be looking for is a good content blocker - one that supports disabling JavaScript. Any recommendations?
Sorry, I don’t get it. Are you saying fitting a linear regression model to data and making predictions somehow isn’t machine learning? I am confused.
Sure - after you figure out NixOS lol
It's spelled "wedding" (unless you're talking about gardening).
> Their "powerful AI engine" is almost certainly just humans.

I wonder how parents feel that an anonymous foreign, most probably male, can watch their daughter in her room working on her exams and she can't opt-out else she'll be treated like a criminal.

Wonder if at some point we'll find a zip file shared among employees with screenshots of students from one of these outsourced proctoring vendors.
Ironically StrongARM was sold to Intel who developed it as XScale before selling to Marvell.
#30DayMapChallenge: A Map of Crimea
> it’s an entire genre

Two names: George Carlin and Bill Hicks. Absolute complainers-in-chief, their acts where very long rants. Burr, Maniscalco, they all come from that tree. And of you go to local gigs, you’ll find plenty more with the same schtick.
I hope that some day Apple revives the idea of the PowerBook Duo (https://lowendmac.com/2007/apples-first-subnotebooks-powerbo...) in which you could dock your phone to something akin a brainless iMac: a screen, mouse and keyboard. Your main computer is always your phone, which you can slide into different form factors (tables, laptops, desktop PCs).
It's not completely groundbreaking, but painting it as an outgrowth of existing trends doesn't give Apple enough credit. The challenges of scaling wider CPUs within available power budgets is widely accepted: https://www.cse.wustl.edu/~roger/560M.f18/CSE560-Superscalar... (for "high-performance per watt cores," optimal "issue width is ~2"). Intel designed an entire architecture, Itanium, around the theory that OOO scaling would hit a point of diminishing returns. https://www.realworldtech.com/poulson ("Many of them were convinced that dynamic instruction scheduling and out-of-order execution would ultimately prove to be too complex and power hungry."). It is also well accepted that we are hitting limits on ability to extract instruction-level parallelism: https://docencia.ac.upc.edu/master/MIRI/PD/docs/03-HPCProces... ("There just aren’t enough instructions that can actually be executed in parallel!"); https://compas.cs.stonybrook.edu/~nhonarmand/courses/sp16/cs... ("Hardly more than 1-2 IPC on real workloads").

Apple being able to wring robust performance out of an 8-wide 3.2 GHz design, on a variety of benchmarks, is impressive and unexpected. For example, the M1 outperforms a Ryzen 5950X by 15%. https://www.anandtech.com/show/16252/mac-mini-apple-m1-teste.... Zen 3 is either 4- or 8-wide decode (depending on whether you hit the micro-op cache) and boosts to 5 GHz. It beats the 10900k, a 4+1-way design that boosts to 5.1 GHz, by 25%. The GCC subtest, meanwhile, is famous for being branch-heavy code with low parallelism. Apple extracting 80% more IPC from that test than AMD's latest core (which is already a very impressive, very wide core to begin with!) is very unexpected.

A lot of the conventional wisdom is based on assumptions about branch prediction and memory disambiguation, which have major impacts on how much ILP you can extract: http://www.cse.uaa.alaska.edu/~afkjm/cs448/handouts/ILP-limi.... To do so well, Apple must be doing something very impressive on both fronts.
This is clearly not the solution, unless it is accompanied by changes to speed limits in North America- which itself introduces a bunch of complexity and negative side-effects.
You can list out the harms of lithium ion production, which I agree with, but they are vastly dwarfed by ICE harms. ICE warms the entire planet and changes the climate, which is a much more vast problem than the also problematic issues of resource extraction for lithium ion or any other resource, including fossil fuel too by the way.
I took an online class in 2015 that used Proctorio. Even at that time the proctoring/anti-cheat software was a nightmare. I was semi-accused of cheating because of "anomalies" during one of my tests. It was quickly cleared up by talking to the professor.

The software is a privacy disaster and any computer that has had any of this spyware installed should be considered compromised. I kept a separate hard drive and would swap it in to take tests.

To fix the problem, grading measures need to be changed to accommodate the new world of online classes rather than trying to shoehorn old test proctoring into a remote space. This software only stops bad cheaters anyway.

I'm already imagining the fights I'm going to have with my daughter's schools in the future when they ask us to install this malware.
What is the hourly rate that you would expect for a professor?

Consider that a tenure track professor (ignoring adjuncts) making $60,000 is expected to teach 3-4 classes, write original peer-reviewed research, and perform "service" (which takes the form of helping the university run itself, external speaking events, and advising.)

Each individual class takes 15-20 hours a week for a course they haven't taught before (which is common). Some classes require managing a group of Teaching Assistants for classes of 500 people. Other universities may have a teacher responsible for as many as 70 students without a TA.

So, that ends up being a 60 hour week. (This is average; I've seen more.) So, without overtime, that ends up at a little more than $22 an hour for a 10 month contract.

(The summers, in which they are either paid a small sum for summer classes, are not included. However, that's also when they are expected to research and write and publish, all technically unpaid. If you consider that time as paid, drop the $22 to $20 an hour.)

So, when you talk about "not caring enough," consider that they do not get stock options for working another 20 hours a week.

Further, a large portion of their job is bringing prestige to the university. That is why their job is based on the output of their research rather than their teaching. As such, in the first 7 years of the job, they are being judged on their publications first and their teaching second. As such, you are upset with a professor because they are only working 60 hours and not dedicating more time to what is a secondary concern for promotion and, for pre-tenured professors, keeping their job.

If you want professors to care, you need more lecturers paid the same amount to teach fewer courses. However, that makes university more expensive. (Or, you end up hiring adjuncts making sub-minimum wage for the same workload, sans research.)

It's a hard problem that looks easy on the outside.
Works on Android, check out https://nexdock.com/touch/
I have no idea, but I suspect the number of people willing spend $5000 to upgrade a desktop Mac from 32GB to 256GB is quite low.

The process to provision 8 or 16GB of memory spread over millions of units doesn't seem like it would work well at smaller scales.

Whether that's low 1000s or tens of thousands isn't really important.
A quote from the review:

> 'Efficiency' means large-scale productions, machinery as fully developed as possible, and __high__ __wages__. The British Government delegation sent to study success in America has reported unanimously to that effect.

> The increasingly efficient industrialism of America has so little need of drudges that it has set up the severest barriers against the flooding of the United States by drudge immigration.
I’ve read it’s basically a Linux box with an ssh server. Not read about running a DE/wm on it though.
> due to complications from COVID-19 and a stroke

He helped novelize the THX 1138 movie.

https://en.wikipedia.org/wiki/Ben_Bova_bibliography
I've wondered if this is something the entire west coast from Vancouver to San Diego is experiencing.
When I was there, it was a lot of smart grad students and undergrads, and the occasional old professor :) That group held the previous highest scores.
On the btrfs mailing list [1], there are still sporadic reports of unrecoverable FS corruption for whatever reason. See [2], [3] for some recent examples.

[1] https://lore.kernel.org/linux-btrfs/

[2] https://lore.kernel.org/linux-btrfs/CAD7Y51i=mTDnEWEJtSnUsq=...

[3] https://lore.kernel.org/linux-btrfs/CAMXR++KUj2L7qpR7QZeiM2T...
He isn't responding to the claims in the actual paper (which are quite weak - they explicitly say the paper doesn't show masks are ineffective) but rather the crowd of charlatans who have hoisted this paper upon their shoulders to push anti-mask bullshit.
Oh, woah, it's not about confirming what's provided or believing everything on the internet. I'm actually giving you the benefit of the doubt that the raw data is correct, and that the statistic you've provided is correct. I'm questioning why you would give that statistic given the misleading nature of it -- and no, other people doing misleading things is not a good reason (as you imply in other comments).
>I suspect the next big tech wave is going to be software-enabled hardware (think 3D printing, or drones, or robotics) or software-enabled biotech (think Verily, Calico, or DeepMind's protein-folding breakthrough today). Neither of those can be done anywhere with an Internet connection; they're going to require close collaboration between software developers, data scientists, electrical/mechanical/biomedical engineers, and actual scientists (physicists, chemists, biologists, and material scientists). The Bay Area is excellently situated to take advantage of this, having 2 world-class universities, a number of smaller colleges, thriving industries in all of these, and lots of capital. Much of the rest of the country, not so much.

This comment is a great example of the SV bubble mindset. The Midwest, Northeast and gulf coast have far better existing infrastructure and workforces if your goal is to create products that have a physical existence in excess of what it takes to represent ones and zeros.

I'll be the first to tell you that I'll vote for any despot who promises to screw the people of Boston but even I have to admit that if your goal is to do some BioMed thing the existing industry there is far better poised to take advantage of it than SV is. The Gulf coast is where you go if you want to do things with chemicals. The eastern midwest is where you go for heavy industry type manufacturing. Specialty composites, aerospace, electronics manufacturing capability is sprinkled throughout the area east of the Mississippi (though sprinkled less densely in the more agricultural parts of the south and midwest).

It's just laughable that you think that SV, a place that's spent decades driving out anything that doesn't have tech-size margins, has the existing workforce and infrastructure to compete against the places that already have these industries.
So, several years passed since he removed net neutrality. I remember seeing ads along the line of "pay $5 for WhatsApp, Facebook and Instagram, pay $10 for that and Gmail, Google maps and Google, pay $20 for ... " https://sites.utm.utoronto.ca/berrey/sites/sites.utm.utoront...

Has anything similar to that come to pass?
Lithium extraction from salars is done by pumping up brine from below the surface, then evaporating in ponds and processing the concentrated salts.

This would despoil the area around the pump, somewhat. But this would be less than 1% of the 10,000km of the salar. Factories aren't very attractive, but enormous dunes of lithium-depleted salt might even be pretty. A matter of taste, let's say, but again, the great majority of the landscape would be untouched.

It would also create some subsidence, I imagine. But this wouldn't be visible.

And this must be balanced against the great good to humanity which is realized by the enormous amount of lithium batteries which could be manufactured with this resource.

I'd say this is worth persuading the Bolivian people to accept, and isn't worth overthrowing their government over. But I don't get to make these decisions, alas.
Considering that x86 is less dense than any RISC ISA, the "compression" argument behind CISC falls apart. No surprise a denser, trivial to decode ISA does better.
People in Pakistan and afghanistan can legally be in debt bondage to their landlords.

US citizens have it on easy mode.
How many students do you have and what's your teaching load? I think that's another primary consideration. Teaching a 3/3 (or god forbid, a 4/4) with 30 students in each makes for a rough grading experience.
This is a really great book! I went through the first one and implemented it in Rust. Was a great learning experience both in ray tracing and in Rust (my first ""real"" project with it).

I really recommend! Much cooler (IMO) then doing another TODO list app. I also recommend going to google to more deeply understand some of the algebra concepts that are used (since they aren't really explained in a deeper level and assume you already know).
Yes, this one uses a DNA virus as a way to deposit a piece of DNA into the nucleus of a cell, so that it makes viral proteins the way cells usually do. The virus used is incapable of replication so it only has the cell entry features, not the viral propagation features.
Here is the paper.

"ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline is underspecified when it can return many predictors with equivalently strong held-out performance in the training domain. Underspecification is common in modern ML pipelines, such as those based on deep learning. Predictors returned by underspecified pipelines are often treated as equivalent based on their training domain performance, but we show here that such predictors can behave very differently in deployment domains. This ambiguity can lead to instability and poor model behavior in practice, and is a distinct failure mode from previously identified issues arising from structural mismatch between training and deployment domains. We show that this problem appears in a wide variety of practical ML pipelines, using examples from computer vision, medical imaging, natural language processing, clinical risk prediction based on electronic health records, and medical genomics. Our results show the need to explicitly account for underspecification in modeling pipelines that are intended for real-world deployment in any domain."

https://arxiv.org/abs/2011.03395
I spread it on steaks before searing them to give them a bacon-y outer layer.
"But I'm also willing to bet you're reading this on a phone."

Web use from phones surpassed desktop several years ago. Anyone with a general purpose news site can see from their server logs/Google analytics they get more traffic from phones than PCs.

https://leftronic.com/mobile-vs-desktop-usage/
The Model S is nearly 5,000 as well. Newer 3s are more like 4,000
Fwiw I have a fancy (ok expensive/powerful but not “fancy” like a surface) Dell and its camera is terrible. I’m guessing it adds around $3 to the BOM of a $3k laptop. I have seen similar crap on similar models from HP/Lenovo. This pandemic hopefully changes this for new models once everyone does video calls and notices this.
Some very relevant sci-fi art to this news is the show Devs.

It specifically looks at how AI can be used for predictions.

The show immediately came to mind in reading this news. It aired on Hulu.