skysight-inc/HackerNews huggingface dataset:
ML is one of the easiest fields out there. When I learned it I was actually turned off by how simplistic the concept was. Of course let me preface to say that it's hard to develop the intuition and skill in the same way learning to skateboard is hard. But conceptually it's easy and very possible for almost anyone.

The whole thing is just curve fitting. Literally finding some best fit curve across a series of points. This is very very easy for any software engineer to understand. I literally lost interest when I found out that the entire field was just all about messing with the data and the curve to try to get things to fit.

Literally it's just about eyeballing the data and qualitatively picking and training the thing that looks like it's the best fit. But because the data is N-dimensional and in the millions it's impossible to "eye-ball" it with your physical eyes, you have to come up with other techniques equivalent to "eye-balling" it.

Douglas Hofstadter had this whole theory of consciousness and when he found out that an LLM was a simple feed forward network with no feedback loops he went into a crisis. Basically his whole theory in GEB was wrong, according to him.

This stuff is NOT quantum physics. It's startling how simple it is and that's one of the big mysteries about it.

We only understand and build these things at a high level. At the very low level we don't actually understand what's going on. As I stated earlier we understand ML the same way a person understand data from an "eye-ball" perspective so it's impossible to even justify what exactly specifically went on with chatGPT when he answered a specific question correctly.
I found the borrowing from Zelda (Sounds, Fonts) to be more concerning than the Pokemon similarities. Like you mentioned, there are a ton of capture game clones that are similar. The Zelda lifts are the area where I feel they may be flying too close to the sun. Either way, the game has a fun loop and I'm not a Pokemon player more of a survival games enthusiast. Been a good time with friends I hope they are able to navigate the IP issues.
The license is the key, as a barrier to entry. Medicine is very high and takes a lot of time but pretty impenetrable. Law is cheaper for the time and money. What else would have this property?
So is Software Engineering for Data Scientists/ML Engineers.
Yes, I was going to say I thought this had been looked at with the transputer.

I also recall Clive Sinclair suggesting this approach in the late 80s (can't recall if that was somehow related to the transputer or was completely separate). I believe his idea was that the faulty CPUs that naturally exist due to wafer defects would be cut off from the main group (I could have misremembered but I think it may have been via some kind of self test process).
Back in 2018, when Tesla was still worth $55B and Apple had more than $100B in the bank, they could've acquired Tesla in an all cash deal, but for some reason didn't. I think they would've made a great match.
This tech is absolutely not about accidents, it's about making sure workers spend every single second of their time producing revenue and not talking to each other, going to the toilet, having a break, discussing their shitty working conditions, that kind of stuff.
I bought a car on vroom. The experience was pretty good. Also have used Carvana. It does seem like an enormously expensive, probably low margin business.

Shift.com similarly went bankrupt late last year.

My assumption is that market leader Carvana has troubles of its own and didn’t see a lot of strategic value in acquiring the customer base for either company, which has low loyalty for what’s become a commodity product.
GCP Incident Affecting Operations, Cloud Logging, Google Cloud Dataflow
Those numbers are for desktop game sales, not people who might want to play your game in their browser.

Being unable to load up a browser game on macOS is a pretty big deal when the main upside of a browser compile target is portability and accessibility.
>Competing interests: None, apart from owning a bicycle as well as a unicycle.
> They’re the ones that aren’t afraid whatsoever to rock the boat or do what they think is right, and are actually able to drive change.

I think a great deal of their ability to drive change is because they know the right things to say to the right people. I.e. they have some diplomatic skills.

Because while they might be able to afford to lose their job, they certainly won't drive any change if they actually do lose their job.
Thanks, that might be just what I'm looking for!
https://fleuret.org/francois/lbdl.html

There's a 0-60 in 3 seconds one. Specifically about deep learning, which is a subset of ML. Deep learning is what is used to build LLMs ala ChatGPT.
Thank you, I'm familiar with the work of Ilya Prigogine, and the first linked article is one of my favorites that I've read several times. The relationship between life and entropy is a fascinating topic for sure.
https://archive.ph/3FmSZ
The success of Palworld speaks volumes about Nintendo/Gamefreak's failure to produce any meaningful gameplay innovation over the past few decades
Everything noted by awjlogan is correct in my experience. To add to the question of incentive, Organic Syntheses is a non-profit corporation since its inception. It's worth reading the organization's history page:

https://www.orgsyn.org/history.aspx

Regarding compensation, the model employed for reproduction of experiments is that students associated with the Board of Editors are paid to carry out the checking process:

> Junior checkers (students associated with members of the Board of Editors) now receive an honorarium for their efforts. This change recognizes the more complex and sophisticated procedures that now appear in these volumes. Also, because of the greatly increased cost of chemicals involved in the checking process, checking editors are now reimbursed for their costs; it is no longer reasonable to expect their own departments to absorb these expenses.

The incentives here are so different from a typical chemistry journal in part because Organic Syntheses is not engaging in a race to publish as many articles as possible, nor is it aiming for novelty. They publish about 20-30 procedure papers each year, which would be comparable to a single issue at any other chemistry journal. The subjects are well-trodden areas, but often in need of greater detail than is provided in a typical report.
> compared with the rest of the industry's standard of maybe 2.

You're just making up facts to protect your beloved brand/cult. C'mon. All my non-Mac computers I'm using here have been around way longer than two years.
Unclad5968 said what you said.

You claim Samsung keeps sd cards off phones because they are motivated to by partners.

Unclad said "it seems excessive to think Samsung is doing keeping sd cards off phones because of partners".

You and they disagree, but he stated your position accurately I believe.
Reduce scope AND push out a deadline. Congrats to the product managers on that one I guess - you did the impossible.
It's hard because it's useless, but overhyped.

You're forced to solve problems with inappropriate tools, which is an anathema for a true engineer.

Same as it was with NFTs and where they are?

Same as it is with clouds and k8s;
Last time I checked, it didn't even unroll loops.
Doing it with all that water needing to get everywhere is definitely a feat.

But the power itself isn't too bad. A square millimeter of wire can comfortably carry 20 amps, and you can scale that up pretty straightforwardly.

It looks like each of those 84 rectangles has to deal with 240 amps and has multiple square centimeters of contact with the voltage regulator card above it.
Putting a price on Tesla post Musk
United Airlines says its growth will slow for years because of Boeing 737 MAX
So we really are batteries for the Matrix.

Joking aside, this comparison is really beautiful.
https://archive.is/vGlmA
Seeker for U.S. Army's New Anti-Ship Ballistic Missile Flight Tested
Ask HN: Google Maps flagging every review?
I've had my Google account for over a decade and have been posting reviews on Google Maps for a long time. Since a couple of months, every review I post gets flagged automatically and then I need to click "submit appeal" so that (I'm guessing) a human reviews it and it's then published.

However, today, they declined my review without any chance for appeal:

"A moderator determined that your review doesn't follow our policies. Your review isn't posted."

And then there's a link to their content policy: https://support.google.com/contributionpolicy/answer/7400114#fake_engagement&zippy=%2Cfake-engagement

I almost always give 5 stars (I don't bother reviewing otherwise) and often write a few sentences (sometimes I just give stars).

Has anyone else been seeing similar behavior?
This chain and this comment is one of the best things I've read on here in years. It reminded me that a lot of community colleges have workforce programs that I need to look into: https://www.nvcc.edu/academics/programs/index.html
I feel so validated by this article. I took two semesters of machine learning electives for my CS masters and feel nearly as ignorant and mystified as when I started. I worked so hard to create something useful and at the end of the day, my work felt like it was 96% example code with modifications hacked in to make it work. And in the end it was still terrible! At least now I know what people are talking about when discussing neural nets and their inner mechanics.

For now, ML research and development is too complicated and frustrating for me to dedicate the time and energy to become skilled in it.
Another big difference between a new one and a 50 year old one, is the cabin on the old one is basically like driving in an aquarium tank in terms of visibility with the lack of a or b pillar obstruction and low belt lines. Suspension is also generally lower on smaller tires from the ones I still see around town from the 70s. Sometimes their hoods aren’t much taller than a sedan but that could be from the suspension setup.
Blast radius is the primary factor as you say and just generally makes things like patching and HW replacements less stressful. The racks and switches already exist and are heavily utilised for other purposes so the additional physical footprint for ceph is pretty tiny :)
That seems pretty likely - with some chance of hybrid still possible. That is, does AI take off and leave the goop in the dust. Or does AI become an augmentation of the current life forms - in an integrated form which perhaps can be admitted as continuation. The current AI products require quite a bit of compute power - but then augmentation doesn't need to be "on-board" the organic life form.
Intel's Open-Source Vulkan Driver to Support AMD's Radeon Memory Visualizer
> https://twitter.com/minimaxir/status/1749893683137454194

Not very promising, though.
Can I get a link to anything about this crisis? My evening popcorn lulzsession demands...
As a software engineer, I disagree. Caveat, I haven't studied traditional ML and just went straight to DL. There is a lot of jargon and you do have to sit down and learn how things work, but once you do, deep learning is fairly simple. One thing that actually really bothers me is how much libraries (e.g. huggingface) are just config files masquerading as programming. It is just a class with 50 parameters and takes about 5 lines of code to make it do the thing, most of the time is spent figuring out what the parameters do.

I think making lower level tools (fundamental building blocks) will make things more accessible to software engineers, as opposed to the high level wrappers being written. We can grab a library, read the docs, and put pieces together in an efficient way. We just need some core work horse libraries. Like if llama.cpp was a library at the same maturity as sqlite.
No need to be small. At 173cm I think I am average and when running or cycling, I constantly have to struggle to accommodate my already too large Pixel 6a somewhere.

Give us back 5 inch phones.
0.01% sounds far better than what I would expect!

If the tech froze at its current state, this would be useful for schools. You don't need to expel a student right away after finding a match, but it is a strong indication that something is worth looking into.

(If the goal is to make students write essays, theses, etc. without an LLM writing it for them.)
Probably better to hide your microphone in something that is more commonplace and doesn't already have a security hysteria around it.
"It is difficult to get a man to understand something, when his salary depends on his not understanding it." (Upton Sinclair)
The industry has been consolidating around transformers. I'd say it's getting deeper, not wider.
what about just because it looks nice? people like nice things.
The bet requires the cars to be SAE level 5 autonomous. You wouldn't notice the difference as a passenger between level 4 used in appropriate conditions, and level 5 car. But the bet does require the car to be level 5 nonetheless.
Absolutely, they can. But I'm curious whether the lesson to you was "I should not have advocated for myself"?

And by the way, I'm sorry you had that experience.
Yes, Apple deserves some credit for being early to it but now Google and Samsung offer 7 year support for their newer phones too.
Show HN: Mac40th.com: 40 Years of Macintosh
Hi HN.

Please check out mac40th.com - a site I’ve launched today to celebrate the Macintosh’s 40th birthday happening tomorrow on January 24th, 2024.

mac40th.com features over 1,000 photos covering every Macintosh desktop and portable made by Apple since the original 128K M0001 was released in 1984 - all the way through to the latest Mac Pro, iMac and MacBook lines.

So many people have come across a Mac at some point in their lives - mac40th.com is about giving fans a fun trip down memory lane with the hope that the Macintosh’s 40th anniversary evokes happy memories for anyone who has ever had an experience with an Apple Mac.

I'd love to get your feedback and also fix any errors :)

Enjoy!

Jonathan.
Both HN and reddit seems to have fallen to the trap of "good, none of the companies were doing research and they deserve it".

In terms of accounting, Companies get taxed on their net profits. i.e Revenue - business expenses - employee wages (salaries, bonuses, commisions) - interest paid on loans - depreciation.

It's baffling because if not all employees are equal now in terms of accounting.

Example:

With flat 21% tax rate for US corporations.

If you made $100k in a year paying $70k for a salesrep, you only get taxed on (100-70) = $30k as net income. You pay tax bill of $6,300. This seems is fair because $30k is what the company has in cash in bank before paying taxes.

If you made $100k in a year and had a $70k dev working for you, get get taxed on (100 - (70/5)) = $86k. Developer salaries have to be claimed as R&D which get ammortized over 5 years. You get taxed $18,060. That is 3x the tax for hiring a developer instead of a salesrep.

Suppose you raised $100k and paid no salary to yourself, but paid all $100k to hire two developers. You have $0 in net income, but still pay (100-(100/5)) * 0.21 = $16,800 in taxes.

That $16,800 is a hole in your pocket. Negative balance. So you either stop hiring developers or be out of business.

So those who are cheering this is a good thing, this will lead to more layoffs. Companies will not pay as high of comp as they used to.

Expect a stream of layoffs across small companies who don't have enough cashflow to survive the amortized tax bill over 5 years. I expect big tech to continue their layoffs since their stock price is closely tied to their net income and they have to show that as always growing.

It's not a good thing for the economy either.
Netflix is preparing investors and users for more price hikes in 2024
$5,000 is probably fair for rural fiber but it raises the question of whether they really need fiber or not. Starlink was bidding significantly less money to provide slower but still acceptable broadband.
The height is adjustable via air springs. It can ride lower, higher, or equal to those.
oh dear, I wish I hadn't looked. So many of the power lines in my area have the wrong voltage, and zone substations with incorrect spellings. Now I feel obligated to fix it.
As others have noted, it is more about the maximum complexity increasing than mean or median. Simple structures keep existing as long as they have their niche, and a human's niche is not (yet) that of viruses.

This also reminds of Gall's law that complex systems evolve from simpler ones.

You can also see it in neural nets, where larger ones have a higher spatiotemporal resolution and can do more complex things.

More model capacity allows to model the environment and self more accurately which allows to outperform other structures in negentropy consumption often at the cost of the other structures (zero sum).

This exerts selection pressure toward increasing complexity.

That also largely explains group and country disparities.

I am not sure that non-evolving things really fit into the same pattern. A burning fire does not necessarily displace inert matter, nor did it arise from competition.

Physics and chemistry are more fractal-like possibly the result of enumeration of all computational structures (see Tegmark's mathematical universe hypothesis or Wolfram's ideas on the computational universe). Not fractal-like in terms of self-similarity (although there is some at different scales), but fractal-like in terms of chaotic complexity like a pseudorandom number generator but with more rule-like structures in between. Wolfram also classified such computational patterns.
I just added

substack.com##.post:has(.paywall)
noahpinion.blog##.post:has(.paywall)

to my uBlock filters so I don't waste my time in the future.
I was a software engineer for ten years before going back to school for a statistics degree. In my experience, I thought very deterministically, and that really got in the way of interpreting the mathematical concepts that are, by definition, stochastic. Engineers think in IF statements. ML thinks in probabilities. This is a nontrivial mental barrier to overcome.

It doesn’t help that a lot of engineers want to find shortcuts that involve not learning the math. That’s just more engineering thinking. Not all disciplines throw exceptions when the output is bad. Maybe there will be tools that negate this need some day. I have yet to see them.
I used to like reading 404, but they need to chill out on posting articles about porn.
I'll agree once Waymo can operate in any weather. Including snowy, meaning the road surface is completely covered by snow and ice plus heavy snowing.
https://en.wikipedia.org/wiki/Moravec%27s_paradox

Moravec's paradox is the observation in artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources. The principle was articulated by Hans Moravec, Rodney Brooks, Marvin Minsky and others in the 1980s. Moravec wrote in 1988, "it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility".
I second Andres Ng's stuff (deeplearning.ai) and also Karpathy's [1]. Those both get you familiar with neural nets from the ground up.

1. https://karpathy.ai/zero-to-hero.html
It works better when you realize a lot of corporate senior leadership doesn't actually want to empower their employees. They only want to say they want to empower their employees. And then go back to being the Big Important Manager in the Big Important Office making Big Important Decisions.
Made me think of how the bomber planes pilot seats were designed to the average human, which meant it fit no human.
Live/fresh compost creates heat as a byproduct of cellular metabolism during decomposition. I assume this is is using thermal output of this compost as a measure of energy.

What more do you want to know.
My dad just got the 83 incher and it's magnificent. Unfortunately, it looks like they only added the 77, but who knows what the future holds.
> Essentially like a lot of other people I’m wondering “how many of these clunky ugly things could they sell?” But thinking that maybe they know that too, and they’re working toward something more compelling.

Apple is a master at having the users pay for R&D. They didn't go and raise millions to billions of dollars in venture capital... they started with phones using cheap Samsung SoCs and from there on, they evolved rapidly, with their M-series SoCs now being on par with Intel performance-wise.

The hipsters pay outrageous amounts of money for Apple hardware - me being amongst them - and Apple doesn't go and waste all their income on stock buybacks or luxurious dividends, but invests it into developing technology to legitimately drive the state of the art forward.
Karpathy’s “Neural Nets: zero to hero”
I don't work in this space, but many of my friends do, as did my father.

SCIF policies are usually strictly enforced. But, that's the most secure workplace available to civilians and they aren't all that common. They also tend to be located in facilities that are higher-than-normal security. Out here in Reston, all my friends who work in SCIFs are also in fenced/gated complexes with paramilitary guards.

There are secure (but not SCIF) facilities that probably vary more. My father's little 6 person contracting office had a secure room, with a Dod approved design and a safe inside, for contracts that required that level of security (State/DoD facilities in China and Russia required TS clearance, other projects varied).

The people that work in SCIFs also generally take it seriously. TS+poly is worth a big chunk of salary here in DC and not something to risk (and that's ignoring that flaunting those laws is a felony for anybody not named Trump). And most believe in the mission (whatever that happens to be). The work spans everything from military hardware to CIA or NSA operations. And a lot of stuff that probably doesn't really need to be TS, but that's a whole other discussion.
> But even if it does, that doesn't make it a discrete GPU. Just a dedicated SoC with some GPU components, and a bunch of other things.

Yeah, this is where I'm at after reading all the comments on this thread.
One difference from other engineering topics is ML brings a hope that it will solve itself. You make a plan, you implement it, you train the model for days, the problem is not yet solved, but if you let it train a little longer maybe it will be?
Alphabet cuts ties with Australian AI firm that helped train Bard
> iPhone vs early Windows CE phones.

These, at least, had legit keyboards.
>And just when Boeing needed experienced employees the most, it suffered a brain drain. In late 2022 many Boeing engineers started heading for the door to lock in pension payouts (which could be hurt by rising interest rates) they had accumulated. When full airframe production returned after the pandemic, a lot of the talent didn’t.

One thing I worry about with complex products like aircraft in general, is what if we just forget how to do this stuff correctly? I mean the entire aviation industry was built in a single human lifetime. All of this was conceived and designed by our parents and grandparents. There's really no guarantee or precedent whatsoever in human history for that kind of knowledge transfer to occur between generations. I've been plagued by this feeling my whole life, that our generation (millenials and below) simply might just not be up to the task of keeping things going. It feels like we're starting to see those cracks.