skysight-inc/HackerNews huggingface dataset:
I'm going to have to disagree with the entire premise of this piece.

If you are a cabinet maker you have many individual clients who all want what you're producing. They each have their own budget and preferences that you can work with to get them something they want to buy. The incentives and constraints are clear here. If you can make something the client wants at a price and quality point they can afford you will do well.

Many (most?) software developers create a product to satisfy the needs of many customers and non-customers simultaneously. Furthermore you almost never interact directly with customers; instead developers interact with a panoply of different business interests such as engineering managers, product managers, project manager, product owners, etc. Even worse software doesn't have to be done to ship it as it can always be fixed "later". With the advent of Agile, Scrum, and SAFe it's clear what the business wants is not someone good at a craft; they want an assembly line.

So what are the incentive structures and constraints here? Every other person has incentives for career advancement, bonuses, raises, etc. Most people are too far removed from customers to be directly affected by them. How many times has a cabinet maker been told that the hope chest they're working on for one client also needs to double as a bank vault. Oh and by the way it needs to be done by the end of the quarter (right after layoffs of course) because they are hoping to be bought out. Code bases end up being a fractured mess of bad abstractions, infinite abstractions, and rewrites because developers are trying to accommodate the impossible demands set forth by the business in a way that doesn't cause their job to be abject misery.

TLDR: most software developers are not expected to be craftsmen (or women). The company determines, through incentives and constraints, the quality of code it will produce. An individual software developer risks burnout if they think quality above and beyond what the company allows is within their responsibilities or capabilities.
This is some dystopian cyberpunk shit people a few decades ago would read in a fiction and think "scary but would not happen for real"...

And the fact is, we all know what this means, what would likely to happen next, and that we are all powerless to stop it. No wonder the younger generations are severely depressed.
Apple Photos is pretty good. Sync works well, the apps are decent, and the automatic OCR/AI search is very helpful.

I’m disappointed that sharing an album isn’t possible with Lockdown Mode enabled.
You spent an hour comparing my desire not to want to suffer for the rest of my life... with eugenics.
This was my question. The article mentioned the project was proposed by a producer. I gather the Beatles at the time were throwing money into all kinds of things that would go nowhere. I could see this as an earnest attempt to make the film, but also as an attempt to lock in access to the funding, rights to future works, who knows what else from a business perspective. Buying things just because it would be cool to have them. Let someone else figure out the details…
Was the prof working in a field related to finance?
In a lot of organizations I feel like #2 is often the difficulty. However, interestingly there is an opposite phenomenon where people are too focused on #2 (understanding customer needs) and thus fail at #1 (owning implementation).

I've seen it happen where non-technical users of internal tools request very specific features that get built just because and at whatever cost without the team asking what is the actual problem this feature solves and how can we best build something to address the problem given our knowledge of the technical side. It's often requests for tools that allow people to do things manually when the team should just spend some time automating away the need to manual intervention.
> Do you believe that the Russians are bloodthirsty and looking for war no matter what?

The Russian people? No. The Russian leadership? Utter disregard for human life on either side to achieve their shifting goals.

> Maybe it's not everyone else who is wrong?

Or maybe these countries are trying to challenge and weaken a global system supported by US influence. I'm not American, I didn't support Americas wars in the middle east, I recognise it is not often a power for good. But if I reject that invasion then I reject this invasion by Russia.

> I don't like that either, but we have to deal with the world we're living in

You've accused me of having a childish outlook but your view seems childish to me. What would a negotiated settlement look like that's acceptable to Russia do you think? It certainly wouldn't be one that is acceptable to Ukraine, and unlikely to Poland et al, and so if the US signed off and withdrew support the fighting would continue.

At some point the war will end in a settlement of some kind. At the moment the position of everyone involved is too wide for that to happen and the US is not the only party.
jmcmaster Thank you for taking the time to comment!! Let me know where you are from and I can let you know. I'm working as fast as possible, but I'm also being careful, I really don't want to do anything wrong with the datalaws. So for now we are only publishing when we know we are good, legally speaking.
Gravity-Simulator: N-body gravity simulator with plotting, interactive modules
We’ve barely prepared for extremely probable events.
Hi guys,

We have created this Mobile Game which is based on Lord Hanuman life. It has many phases of his life mainly Chitrakoot, Himalayas, Ram Setu, Panchvati and Hampi.

https://play.google.com/store/apps/details?id=com.hanuman_th...

And we are working on other parts too which we will release soon.

Would love your feedbacks. Thanks for your time
Is it inauthentic if I think back to romantic gestures I did 40 yrs ago and redo them?
Remember the early atomic age when people were doing wild shit like adding radium to your toothpaste so you can brush your teeth in the dark?

This is that, but again, with AI.
And, Jobs visited Amiga in 1983 which also suggests the idea came from him.
I thought you might be interested to read how the remarkable Sinclair scientific calculator did it's trig, log etc. It wasn't Cordic but the algorithm has similarities.

http://files.righto.com/calculator/sinclair_scientific_simul...
Yeah the article makes no sense. It suggests we need try and prevent the problem by 1) regulating AI development, 2) accelerating our progress towards becoming multi-planetary.

Well, if AI really is such an effective great filter, it would not be so easily mitigated by such predictable solutions.

If you can't implement those mitigations because of politics / economics / etc, then the great filter is in your social dysfunction, not the AI.
Anyone have this in their homelab? With a write up maybe?
One of my frustrations is how people often seem to drift towards one of the extremes on either side of this argument. Technically, the approach described in this article is called 'pragmatism', but in practice, people have used that term to describe the bad kind of corner cutting.

And whenever you're arguing against someone drifting too far to one of the extremes, you'll often get lumped in with those on the other: to a perfectionist, you'll be considered a lazy, sloppy worker, whereas the corner-cutter will consider you to be super pedantic and not the type to 'get things done'.

On the other hand, when you do get to have a proper discussion on whether a corner is worth cutting — i.e. if it will actually affect the user's experience — and you end up being able to save time without materially affecting the end product or future maintenance work, that is enormously enjoyable.
Aren't google employees getting shares of the company? My understanding is that employees directly participate in the success of google through dividends/buybacks like any other shareholder.
"Dirty stream" attack: a common vulnerability pattern in Android apps
Kind of like what the iPhone did when they launched without copy-pasting, and a very underwhelming gsm radio
I once heard it summarized like this: Hitler inherited the best army of the world. It took him a decade to run it down.
Is it possible to use Ente just for the album sharing feature? I would like to upload a couple dozen images to a gallery and shared the link on social media. It’s not clear if I have save to give it access to all my photos to be able to use that feature. Ideally, I’d be able to create and share an album directly from Apple Photos to Ente.
So there is a chance to abuse a cockroach and turn it into quantum computer for breaking encryption on the budget.
I guess a missed harvest will offset any gain from using such a complex system in the first place.
Google's 'fastest-growing' moonshot that spun out into an AI earbuds startup
Given that the brain is a physical object subject to all quantum effects, wouldn’t the novelty be that it doesn't use quantum effects? That it does sounds obvious.
Benchmarking LLM APIs – OpenAI, Cohere or Anthropic
Is 16 GB of ram enough to run these locally?

I'm considering a new laptop later this year and the ram is now fixed to 16GB on most of them.

I plan on digging deep into ML during my coming break from paid work.
Hi! I really appreciate your comment, and thank you for saying it so nicely. Not harsh at all ;) It's absolutely amazing to get this much feedback all in one, and I will be sure to make updates to the UI and get-started flows better.
Maybe not the only factor, but a strong contributor. It's at least a few things:

- Broader awareness, as you suggest. Police violence didn't necessarily increase, but the number of videos documenting it did, as did the distribution.

- Highlight-reel effect on social media, so it feels like your peers are richer and happier than you. With previous generations' mass media, it felt like there was a separate "rich and famous" class, but the perception of the average person was a lot like yourself.

- Tribalism from market segmentation and the echo effect. So we learn less tolerance and our convictions get stronger without reasonable, respected counter-arguments.

- Actual increase in inequality through automation and globalization, without sufficient mechanisms (e.g., higher taxes, UBI, etc) to re-distribute the gains.
It's slightly amusing to me that this would show up just now, as I literally just went down a very similar rabbit-hole yesterday. Except instead of looking for old Archie software, I was looking for old WAIS[1] software. And in the process of doing that, the thought crossed my mind that I'd probably need to poke around a myriad of half-abandoned ftp sites, and "boy, wouldn't it be nice if I could use archie!".

In fact, I think I may have glanced at the headline of this very same video while I was scratching around looking for stuff about searching "the old web" (for lack of a better term).

In the end, one thing that turned out to be fairly fruitful was connecting to the Floodgap[2] gopher server and using Veronica-2[3] to search.

There's all sorts of interesting old stuff lying around out there, if you can find it.

[1]: https://en.wikipedia.org/wiki/Wide_area_information_server

[2]: https://gopher.floodgap.com/gopher/

[3]: http://gopher.floodgap.com/gopher/gw?ss=gopher%3A%2F%2Fgophe...
There are people working in software who will _always_ want to refactor something into "clean code", no matter how many times it has been done before. It's just never going to reach a point where that person says "I'm happy with it, let's get back to building features". If you want to build features (at all!) then you have to sometimes tell that person "no, we're not refactoring this again".
I'm always amused by the lack of creativity of biologists.

It seems every decade or so some closely held dogma of biological systems is proven wrong after they mock physicists, computer scientists or mathematicians who first suggest it.
I'm a professional MR physicist. I genuinely think the profession is hugely up the hype curve with "AI" and to a far lesser extent low field. It's also worth saying that the rigorous, "proper" journal in the field is Magnetic Resonance in Medicine, run by the international society of magnetic resonance in medicine -- and that papers in nature or science generally nowadays tend to be at the extreme gimmicky end of the spectrum.

A) Many MR reconstructions work by having a "physics model", typically in the form of a linear operator, acting upon the required data. The "OG" recon, an FT, is literally just a Fourier matrix acting on the data. Then people realised that it's possible to I) encode lots of artefacts, and ii) undersample k-space while using the spatial information using different physical rf coils, and shunt both these things into the framework of linear operators. This makes it possible to reconstruct it-- and Tikhonov regularisation became popular -- so you have an equation like argmin _theta (yhat - X_1 X_2 X_3.... X_n y) + lambda Laplace(y) to minimise, which does genuinely a fantastic job at the expense, usually, of non normal noise in the image. "AI" can out perform these algorithms a little, usually by having a strong prior on what the image is. I think it's helpful to consider this as some sort of upper bound on what there is to find. But as a warning, I've seen images of sneezes turned into knees with torn anterior cruciate ligaments, a matrix of zeros turned into basically the mean heart of a dataset, and a fuck ton of people talking bollocks empowered by AI. This isn't starting on diagnosis -- just image recon. The major driver is reducing scan time (=cost), required SNR (=sqrt(scan time)) or/and, rarely measuring new things that take too long. This almost falls into the second category

The main conference in the field has just happened and ironically the closing plenty was about the risks of AI, as it happens.

B) Low field itself has a few genuinely good advantages. The T2 is longer, the risks to the patient with implants are lower, and the machines may be cheaper to make. I'm not sold on that last one at all. I personally think that the bloody cost of the scanner isn't the few km of superconducting wires in it -- it's the tens of thousands of phd-educated hours of labour that went into making the thing and their large infrastructure requirements, to say nothing of the requirements of the people who look at the pictures. There are about 100-250k scanners in the world and they mostly last about a decade in an institution before being recycled -- either as niobium titanium or as a scanner on a different continent (typically). Low field may help with siting and electricity, but comes at the cost of concomitant field gradients, reduced chemical shift dispersion, a whole set of different (complicated) artefacts, and the same load of companies profiteering from them.
Do they? Most marriages end in divorce, and most people I know in long term relationships are miserable. I think most people don’t manage fine and keeping a relationship strong is a skill that takes practice and deliberate effort to master.
The real tragedy is we'll never know how Guilermo Del Toro's version of The Hobbit would have turned out. Studio screwed up scheduling and had to get Jackson back in.
No - 16gb of ram is barely enough to run regular applications if you're a power user let alone the most breakthrough computationally heavy workloads ever invented
I wonder if they would have gone down the path of many bands in the late 60s and have those long spoken word poetry stretches. That said, thanks to things like that I do love how often you see Michael Moorecocks name popping up.
I just liked the definition of DWIM in that article. I don’t think DWIM operates in Emacs Lisp the way it did in Interlisp, and zygospore’s not exactly a good example, but I’ve come across ‘-dwim’ versions of commands that combine the functionality of multiple ones and try to deduce which particular functionality you wanted from the surrounding context—it’s nice.
Getting a patent doesn’t mean no prior art exists, it just means the Patent Office can’t find it. That’s true today, but was even more true in the 1950s/1960s when patent offices had access to far less information. It is easy for us to find this 1954 conference proceedings from MIT, how would a patent examiner back then find it, or even know to look for it?
Most of us work in organizations where the boss is a former engineer who understands the problem of tech debt perfectly well. If your boss is a former dev and they aren't taking it seriously the problem is usually that they're a bit too keen to say yes to other parts of the business.
Why do you believe it impossible for Python to be impenetrable?

A Common Lisp will likely be much more introspectable and debuggable than your average CPython.

I think Google designed Golang to be a small language for implementing network services that will tie newcomers to programming hard to that specific language and then also Google. Hence the syntactic quirks and the err spectre. That it enables development of CLI applications was likely an unexpected bonus.
Very true, it is not a good reason, we do this for now due to the security, users calendar, notes, and partner related information is truly personal, so for now it's much more secure. But it's really interesting to see all the feedback, so thank you!!
I'm OP. I am not communicating mostly in writing. I think that most people memorize the sound of the word. Ecole is the first word I learned in French and to this day I forget is it's a grave or aigu. What I realized with your comment and thank you is that I didn't mean intonation! I got confused because and I meant the type of accents and I meant spelling. Thank you
And the ASIs would not be able to perceive that scenario and surreptitiously work together for their own purposes anyway?

The reason it's called "singularity" is because you can make 0 reliable predictions or even imagine what lies on the other side. You essentially have to substitute the word "ASI" for "god", so anything goes.
I found that a lack of barrel shifter or at least micro-coded shift 'n' hampers Cordic in an 8 bit CPU but I coded a routine up for fun in 6502. I never found a use for it myself as there always seems to be a faster way to do things for games programming at least.

https://forums.atariage.com/blogs/entry/3385-atan2-in-6502/
Yeah, thinking about these follow-ups next
Plan of Thoughts: Heuristic-Guided Problem Solving with Large Language Models
That doesn't make sense to me at all. If something is physically grounded and can be achieved then shouldn't it, by definition, be computable.
China's GDP/capita is about 12,000 USD, which is somewhere between Mexico and Poland. Average monthly income in China is about 1400 USD, which is 10x the level you cited.

The middle income trap is about countries getting stuck, because they are unable to transition from cheap manufacturing to higher-value-added industries. China has already moved into high-tech sectors in a big way, so it looks like the middle income trap is already irrelevant for China.
Ahhh I see, that makes sense. Thank you for clarifying I appreciate it. I made the mistake of assuming that the paper in the documentation was the paper of interest. I will take the time to properly delve in further once the paper is released, do you have any idea when that might be? In the mean time I look forward to giving testing the method on some toy examples I have.
This is not the right answer for a real business. Sometimes we'll fix that later is perfectly acceptable. If that was good enough for Facebook it can certainly be good enough for others.
The U.S. doesn't even consider it a crime. Read https://rewardsforjustice.net/rewards/foreign-malicious-cybe... and notice how the USG only cares if the hackers are acting under the direction of a foreign government. These days ransomware is about as illegal as corporate raiding and short selling.
Location: New Mexico
Remote: Yes
Willing to relocate: Maybe
Technologies: JS/HTML/CSS, ES6, TypeScript, React, Redux, Git, Shopify, Next.js
Résumé: https://quxbaz-resume.vercel.app
Email: davidy889@gmail.com

I am seeking a position as a mid or senior-level front-end engineer. I have 10+ years of experience working at various levels of responsibility as a front-end developer throughout my career.

My current position is as a Software Engineer for Western New Mexico University where I maintain the university's primary website and over 30 departmental websites. I've lead a major project to merge multiple overlapping personnel directories into a single authoritative database. I've also lead a project to teach and establish version control for new and existing projects. My current project is to meet digital accreditation requirements to ensure the continued presence of the university.

Prior to that, I worked as the creator of a thorough visualization of MMA matchups (https://mmabetsharp.com). The work encompassed a large breadth of skills including core front-end work, design, visualization, scraping, data structuring, as well as social media engagement via public discourse and other various channels.

I consider myself a generalist in the front-end space. I have a good knowledge of web technology fundamentals, but I also rather appreciate the higher level tools brought in by the React-era.

I have experience in ecommerce, both as a developer and administrator. I have worked on the development of inventory management tools for online clothing retailers. I have also used the Shopify platform to create a portal for selling woodworking products.

I have enough maturity as a developer to balance the cost of writing maintainable software with the need to write effective software quickly. I understand software is inherently complex, and if neglected, tends to devolve into something very difficult. I also understand businesses and companies, especially smaller ones, operate with limited resources, and that the ability to drive a product forwards can be essential.

I've been thinking about... The nature of complexity in software. How can we apply functional programming concepts to a domain that is largely event-driven and mobilized by effects? How can we reduce excessive "wiring" between components and increase modularity? How can we create a level of abstraction over system components that ensures logical consistency while avoiding excessive overhead? How do we balance the need for "correctness" (typing, tests, refactoring, experimentation) with the need to deliver a product within limited time and resource constraints?

Aside, I also have some experience with physical goods, having created and operated a small woodworking company for 3 years. During the time I received unsolicited praise for the top quality of my work. I apply the same ethic to my programming work.

My favorite editor is Emacs on Linux. I describe myself as... Easygoing, reliable, flexible, adaptable, and a clear communicator.
Hey, thank you for the comment, Android / google play are a bit slow to approved compared to Apple, but it should be out on Andriod very soon!
I believe that offshore wind formed a key part of the vision for the United Kingdom's net zero transition. They wanted to use the learning curve to become the "Saudi Arabia of wind power", manufacture hydrogen etc.

https://www.bbc.co.uk/news/science-environment-54285497
The question is rather what circumstances gave rise to the system that would make a given choice. Thats all "free will" is: the current state of a system that gives rise to a specific choice.

Free will as its commonly understood is an entirely religious concept and has little/no utility in explaining behavior. It is, IMO entirely unrelated to consciousness and a distracting subject that traps people into circular reasoning.