skysight-inc/HackerNews huggingface dataset:
What nonsense. Organized labor is the only force that has ever brought any parity between labor and management. Do you think a 40 hour week and other benefits were magnanimously bestowed on workers by management? Unions are the only force that have gotten labor anything.

You sound like a typical vulture capitalist. So with your disdain for labor, I suggest whatever great lofty idea or concept you have, do it all yourself. Development. Engineering. Marketing. Sales. Service. You can't. You need that labor you so airily brush off with the 1953 bugaboo of communism.

Solidarity forever.
“I’m so confident that X is solvent that I’m giving X a bunch of money, for solvency” seems a bit odd to me.

If everything is fine, why would any of this be necessary?
Thanks for being so interested! However the tutorial is actually specific to the Daz Studio system from Daz 3D, and the Iray render engine, and isn't free [0]. I'm in the process of doing a similar thing using more open source tools and released through a more accessible channel but realistically that will takes ages.

[0] https://www.daz3d.com/killer-lighting--lighting-for-photorea...
I feel like there's a slight inaccuracy here that this article covers. GPT-like models excel at logical problems that have already been solved. As the article suggests the models (at least at the moment) are extremely keen to utilise existing solutions as opposed to inventing new ones. The existing solutions end up somewhat being far too distracting when problem complexity compounds beyond the common. This implies that those truly talented at solving logical problems will still be spearheading the development of novel solutions.

We might be able to state that GPT will easily trim away all the average workloads for both the left and right. It can perform "creative writing" or draw pictures to an average or even beyond average extent, but it continues to currently struggle to hit the exceptional examples that humanity are capable of.
That $5b is definitely "insured" - the FDIC has all but nationalized US Bank deposits so long as there's widespread liquidity issues under its "systemic risk exception."
When the Fed finally gets FedNow fully up (July this year), basic transactional banking with rails will be a utility.

The equivalent of Mark Cuban is doing about basic pharmaceuticals in California will be able to be done for banking services.

Payroll services will be able to be instant, as well as bill paying.
Haha very interesting! I assume it's because that type of image is only found on computer screens, so, the model thinks the grass "contributes to it's idea of what a computer screen is".

... and of course, the library only ports those models to the browser; if you train a better model, you can always convert it to the ONNX format, then use it with the library.
> "Simpler" is maybe a bit of a stretch

It’s not. The full rendering might not be simpler, but the model is simpler.
I had a paper subscription to The Economist through AMZN that I was planning to eliminate (subscribe directly) as part of a plan to eliminate all my recurring bills to AMZN and it’s convenient that they did it for me.
SVB Financial Group Files for Chapter 11 Bankruptcy Protection
The GPU on the Wii supports normal mapping and bump mapping, even the OG Xbox and the Dreamcast and most importantly the Gamecube did.

https://www.nintendoworldreport.com/guide/1786/gamecube-faq-...

Quite often it’s not even a question of the GPU itself but the development pipeline and the tooling used. As well as ofc does the engine itself supports it.

Also at the end of the day your GPU has finite amount of compute resources many of them are shared across various stages of the rendering pipeline even back at the 6th and 7th gen of consoles where fixed function units were far more common.

In fact in many cases even back then if you used more traditional “fixed function pipelines” the driver would still convert things into shaders e.g. hardware T&L even on the Wii was probably done by a vertex shader.

Many teams especially in companies that focus far more on gameplay than visuals opted out for simpler pipelines that have fewer variables to manage.

It’s much easier to manage the frame budget if you only need to care about how many polygons and textures you use, as if the performance is too low you can reduce the complexity of models or number/size of textures.

Shaders and more advanced techniques require far more fine grain optimization especially once you get into deferred or multi pass rendering.

So this isn’t hardware, it’s that the team behind it either didn’t want or didn’t need to leverage the use of normal mapping to achieve their design goals.
"I'm still waiting for the automobile that can replace me, the Horse Carriage Driver. They've been promising those since the 1880s, but I've still got passengers in my carriage every day!"

Obviously it's a cheeky example, but this would not be the first time in history a previously well-established career was upended in a (relatively) short amount of time. I'm a FAANG dev, I've got skin in the game too and I'm trying to be optimistic, but I can't help but be at least a little worried. From Wikipedia -

"In 1890 there were 13,800 companies in the United States in the business of building carriages pulled by horses. By 1920, only 90 such companies remained."

I don't think we'll be out of the job entirely, but I can definitely imagine the bar being raised and the compensation stagnating as we now have to justify the time and cost of our work compared to the near-free, near-instantaneous output of an LLM.

All that being said, if you've been working since the 2000s, you've got nearly a 20 year head-start on me, so perhaps it makes sense for me to be a bit more worried.
assistants and wizards have been tried before with varying levels of success

clippy tanked because it annoyed more than it helped, although some people did like it

install wizards did their job in a world where a single binary format and OS dominated and stuff ran offline pretty much exclusively, with the odd connection to networks - those installers sorted a laundry list of situations, both underlying situations and user configurations and choices, and for the most part they worked

Siri, Cortana, Alexa etc have been working as expert systems with central curated bases and some AI/ML on top, for a lot of people they've been working quite well - for me personally they've sucked, they've totally failed to answer my questions the few times I've tried them, and they've creeped the hell out of me (they are a lot more centred on extracting my info and selling me stuff than understanding stuff)

generative ML is orders of magnitude more sophisticated, but so are our needs and our computing from a global perspective, it does make sense that those assistants, pilots, etc start taking off

but the incentive issues of the previous generation assistants and recommendation algorithms remains there and I wonder how will that turn out - if they start demanding access to my phone, my email, my contacts etc I will do my best to avoid them and to poison any info I have to give them
AFAIK that isn't something vendors aim for or market. One could however log into the WiFi and adjust the RF settings of most devices and lower the output power to the point where it still works for their needs if are are factoring in RF frequency EMF. e.g. try the lowest power setting and see if devices can still operate in the desired locations

If in terms of EMF you meant the lines of flux and spurious emissions leaked from the power supply then I suppose one could put the WiFi and power supply in a metal container that has holes for the antenna's to still be connected. In that case I would look for one that has detachable antennas and aftermarket external free-standing antennas. Most consumer WiFi are in plastic cases and offer no shielding into or out of the device. Most if not all of them have low quality power supplies.

If your WiFi has a standard barrel/coaxial connector for DC input then I suppose you could find one of the more expensive linear power supplies used for HAM radio that have low ripple voltage and low EMF leakage. Just ensure polarity, current capability and voltage matches the requirement of the WiFi device.

Out of curiosity what is the end goal or problem you are trying to solve? Proximity to medical gear?
I’m a supporter of universal healthcare but that trope about preventative care reducing cost isn’t true: https://www.nytimes.com/2018/01/29/upshot/preventive-health-...
> It's probably going to struggle with things it hasn't seen before?

It wont.

It'll just lie through its teeth and produce a very nice, very believable story which will unfortunately shatter when confronted with the real world.
Because it's not for solvency, but for liquidity.
Tiger Global Writes Down Venture Funds’ Bets by 33% in 2022
Interesting to have this contrast in perspectives. For me, the language generated by ChatGPT is flat and boring. No spark of human creativity or originality or flair. And this cheap trick of getting it to write in rhyme or 'in the style of' such and such I find awfully tacky.

I'm not saying AlphaZero was creative either. But because it was operating inside a system that was already beautiful and which had such a vast 'solution space' as you put it, its exploration into greater depths of that space I found intriguing.

I think that's the contrast for me. Machine learning can be useful and even intriguing inside constrained spaces That's why I liked AlphaZero, working inside a very constrained (but deep) space. And why I also find Tesla's progress with self-driving interesting. It's a constrained task, even though it has a huge range of variables. And again why I find ChatGPT potentially useful in drawing from a constrained corpus but still don't find the language it generates appealing. It comes across as exactly what it is - machine generated text.
I hope it goes the other way. My recollection is that the Exynos phones were able to be bootloader unlocked and flashed with other ROMs while the Qualcomm ones were locked down forever. I've stayed away from Samsung phones for that reason.
Look at it from the perspective of the commons: It's easier to poke at a screen than to use a mouse or touchpad. It's easier to see and read bigger text and interfaces than small environments for ants, especially as one advances in age.
overwork, bad salaries, competition, bad relationship with supervisors are often mentioned but I think this is not the whole picture.

I would focus more on research itself. Research can be really shitty. It's extremely open ended, so you may be a brilliant student with exams, but feel clueless about what to do when there is no clear problem and no clear solution.

Science is now extremely incremental compared to 50 years ago, meaning that you work on a tiny problem and you only try to take it forward by epsilon. This is different from the idea we often have of science as "eureka!" and revolutionary changes of paradigm. Most of our time we only aim to publish some paper on something, and move on, even without fully believing in what we're trying hard to convince reviewers of. Which is a horrible feeling.

All this causes one clear phenomenon: lack of motivation. Motivation is essential for any hard job. But it's very very hard to keep motivation high, let's be honest, on working like crazy on some project that ends up in a paper that probably almost nobody will ever read.

I don't ever want to do that again. And it's not about the salary, or my boss, or working long hours (I don't).
For what it's worth, you don't have to do a PhD where you making starvation wages. There are plenty of well paying PhD programs in Scandinavian countries, The Netherlands, etc. During my PhD in Norway I made approx. 55k USD before taxes. This paid for a flat by myself, traveling on holidays to my home country, etc.
No it wouldn't, it just adds to the repertoire of available treatments.
Ironically, the bank bailouts of 2008 were a wild success. The TARP program was paid back in under a year at a decent profit to the taxpayer. ("Through the Treasury, the US Government actually booked $15.3 billion in profit, as it earned $441.7 billion on the $426.4 billion invested."). That's basically the cost of funding NASA for that year, paid for by the return on the bailout investment.

I get that the optics of having the government loan money to banks is bad, but realistically, it was wildly successful.
Suppose that (and this is not that wild a hypothetical under the circumstances) First Republic had been contemplating, barring significant new deposits, selling to an up-and-coming midsized bank, and the larger banks did not collectively desire that outcome.

Their CEOs can’t sit around a table and discuss joint billion-dollar strategic action. It’s the definition of a “conspiracy in constraint of trade”.
Another factor I’ve wondered in both myself and others: those who choose to be grad students often do so because of irrational unresolved issues or dissatisfactions with life. Grad work doesn’t help with these issues at all, only adds more problems or compounds them, and leaves you with a good amount of bitterness that you might not even understand.

Increased age or progress increases the chance that these unresolved issues are manifesting or compounding.

For me, I was looking for things in academia that just weren’t there, and I was too dumb to know what I was really looking for.
>"Oh, you're a programmer, Can't you do $THING"

I've been asked by others to install software, repair PCs, repair laptops and even modify or replace firmware on phones. Sometimes I did it, if I had time. But for my personal needs, I always called a technician or went to a repair center.

As for programming tasks, I did many: C++ desktop software, Windows device drivers in C, embedded software, websites in HTML + JS, video games, mobile apps, hacked Android kernel modules and libraries, web backend, web frontend, microservices.

If you have the time to learn the business domain, learn tools, frameworks, libraries, APIs - you can work on anything. "Doing" things is different, because some projects are quite huge, impossible for one person during his life time.
In the US, PhD programs will usually be combined with the Masters, and will start with ~2 years of coursework. This can cause no end of communication issues when discussing how far one is along a PhD.
> now where's my reward I was promised?"

These people deserve more without question, but at the end of the day if this is their reaction they didn't look forward far enough.

It's a slightly less bad decision than people who decide to try to become professional athletes. You're subjecting yourself to getting treated like absolute shit for a half a chance at a mediocre job.

I do not understand why anyone would ever choose to be an acedemic, at least one at any institution that has this sort of crazy imbalances of applicants and positions, because whenever that happens you don't get in on skill, you almost always get in based on some form of nepotism or politics, and that culture slowly destroys all organizations it's involved with.
> I don't remember ActiveX playing much of a part in the internet.

The large company I work for still mandates IE11. Why do you think that is? If your corporate strategy gets you 20-30 years of vendor lock-in, then I would say it was a successful strategy.
Elephants have 100x as many cells as a human does, live about as long, but have about 1/2 the chance of dying of cancer. Why? A big part is that each elephant cell has ~40 copies of the p53 gene.
The GP did not use the term liquid, they used the term solvent.
A comment here reminded me of jumbomem https://ccsweb.lanl.gov/~pakin/software/jumbomem/
If anything it will be much better as it won't mind waiting and asking for answers nor get frustrated with incompetence.
I think most folks (perhaps not here) misunderstand is that writing code is the easiest part of a software engineering job. Anyone can write code in their little piece of the system, write some tests to prove it works and move on. Given enough time I feel most good software engineers can do that part of the job without issue.

Knowing how code might fail and preventing cascading effects, tuning resource usage, troubleshooting incidents are the actual hard parts of software development and it's where even good software engineers tend to fall over. We've created whole specialties like SRE to pickup where application developers fall short.
I've seen lots of systems fail for the dumbest reasons. Thread pools misconfigured, connection timeouts with poor configuration, database connection pools are completely incorrect.

Wake me up when ChatGPT can troubleshoot at 1 AM when the SRE and on call engineer are both frantically trying to figure out why logs are clean but the service is missing it's SLO.
>Many bugs remain indefinitely post-launch. Many features seem to languish to become replaced with something nearly identical and also not finished. Often you'll hear the advice to 'file a Radar (Feedback)', but among developers for Apple platforms it's become a running joke. It seems just to disappear into the aether without comment or resolution. The internal teams have moved on to the next launch.

First time? :V

This isn't an Apple-specific problem.
Wow, brings back lots of memories. In high school I got started writing VB3 for my father's small software development company. I'd end up working full-time there for a handful of years after college, really pushing the boundaries of what one could do with Visual Basic. I don't think there's a single tool or language that I've loved more than it in my entire career.

Twenty-seven years later, still one of my proudest accomplishments is to have had a multi-year project that I worked on featured in "Visual Basic Programmer's Journal".
Maybe you did not get the point: "once they figure their shit out" is the pain point, and no ChatGPT can ease that!
It’s only antitrust if it’s anticompetitive.
GL_ARB_texture_env_dot3 was implemented on the Geforce 3 launched in 2001, but the GeForce 256 launched in 1999 had dot3 support
I quoted you, not them.
The problem has plenty of symmetry and there are ways to solve it other than naive brute force. For example, the proof that R(3,3)=6 is given in the first part of the article, and does not involve listing 2^15 graphs.

This also could apply to AES256 - if it has some mathematical structure that can be exploited, then brute forcing might not be needed to break it - see https://en.wikipedia.org/wiki/Advanced_Encryption_Standard#K... .
Upvoted you to counter the down votes, if it does indeed work that way. Please connect with the guy who has offered to met you.

To the mods: Agreed that making a system that satisfies everybody is difficult, but one cannot in good conscience have a system where a mob might have it's way.
Just change your number to a 1-900 number, and you're set!
Your job is already threatened by cheap outsourcing.

However, the risk with cheap outsourcing is exactly the same as with LLMs - you get what you pay for, and you need to constantly check if it's really doing what it's supposed to be doing.
One studies because of curiosity, not because of money.
I can see why educators are getting involved. They are seeing it change how their students do work in real time.

I grew up and using a pocket calculator was verboten. You just did not do it. You better learn and memorize all of that stuff. Spin on 10 years after me and all kids have them now. If you have the right app on your phone the thing will OCR the problem and auto solve it and show you the steps. ChatGPT and its ilk are here, now. How we learn and create things has dramatically changed in under a year. It is not clear how much though.

Teachers are trying to get ahold of what does it mean to teach if you can just ask some device to summarize something as complex as the interactions of the 6 major countries in WWII and what caused it. Then the thing thinks for 2 seconds and spits out a 1000 word essay on exactly that. Then depending on which one you use it will footnote it all and everything.

This style of learning is going to take some getting used to. This tool is in their classrooms right now. Right or wrong. It will be there. The teachers are going to have to figure out what this means to their class planning. Not 5 years from now, today.
Coordination in industries is not legal, especially when its transparent like this. Not sure why you would think it was illegal.
Stable Diffusion Reimagine
React is a leaky abstraction.

https://twitter.com/clark_gunn/status/1636565797412773888
Is this a valid mitigation for pixel 6/a/pro?

- Turn off wifi calling

- Turn on airplane mode

And then ensure wifi is on and wait for the March security update.
I always thought the "yellow" style coins from games like Mario 64 were much more aesthetically pleasing than the more realistic gold coins of games like Odyssey.
>There's no philosophy industry.

You can work in the diversity industry. As a chief diversity officer, for example.
> - Your honor my wholly original work of Halvin and Cobbs, a cartoon of a little boy and his pet tiger is entirely original to me.

And as you submit this to the court, the other party requests discovery of evidence from your computer, your communications and (based on that) the API logs of a particular third party provider you could have used, and uses that to not only dismiss your court claim but forward it to the local prosecutor - previously it was just a civil case, but perjury is quite punishable, in USA up to five years in jail (https://www.law.cornell.edu/uscode/text/18/1621).
There's something to be said for today's business model that much of big tech uses: "First we build it, then we get customers who love it, then we try to figure out how to monetize it- and kill it if we don't".

Google is, of course, the king of this model, but it feels as though the entire industry fully embraces it. I'm waiting for the day my Alexa shuts itself off forever because I still don't see how it makes a dime.
Define persistency.
So I got a little bit of time to check (https://github.com/Biktorgj/quectel_eg25_recovery/tree/EG25G... - the NON-HLOS), and it's still actually running a Qualcomm Hexagon baseband (40mb binary by Qualtec when combined using Gal's unify_trustlet script).

Load that into Hexagoon IDA plugin and you'll see it's bog standard Hexagon for all the remote GSM/LT code that actually does stuff (similar to the project zero research). I haven't verified (and don't own a Pinephone) but most Quectel boards I've seen in the past do enforce signature validation, so binary patches are not easy.
Well its more like that you have to let the speculators in because they provide so much liquidity
> And then we can create an authoritarian uniparty to govern us all from behind a false appearance of a choice between two fake parties.

I thought we are there already. :)
You do, in a civil claim its up to you to prove that your rights were actually violated.
Interesting.

#dadagrams15

Today: Won by 5 points

All time: Winning by 5 points

https://dadagrams.com
Honestly having it in the docs would seem much more interesting. From a user perspective, I try and figure something out and then ask for help right there. Vs having to go somewhere else and then publicly ask the question.

And honestly from a company perspective, as long as you are logging the interactions to see how its being used, that is all I would care about. A place where the chat bot answers everything isn't going to build an actual community. Its just going to end up a discord channel that gets muted by the user until they have another question 6 months from now. There won't be an opportunity to talk to those users anyways.
But nobody pursues a philosophy degree for the money.

It's a question of personal values and what one wants out of life. Many people of a philosophical predilection would find it unfulfilling, a waste, "insane", to devote themselves to wealth maximization.
We're also starting to use the "Oils for Unix" name.

Can’t wait for the book “Essential Oils for Unix” to come out.