skysight-inc/HackerNews huggingface dataset:
It also seems to have amped up the qualifier paragraph that's appended for anything deemed contentious. My favourite so far is when I asked it about the name of a video driver from the 80s that would downscale cga to monochrome:

'As a final note, remember that real color rendering on a monochrome screen is physically impossible, as the monitor itself is not capable of producing colors. The best one can do is different shades of monochrome, possibly with differing intensity.'
To be fair, the guys who rejected Sharepoint and Sourcesafe (for being shit) to have secret "illegal" Github Enterprise accounts (not managed by Microsoft Corp, but internally by the team) who later became upper management and executives are the ones that bought Github.

Microsoft culturally changed, hard; in some ways good, in some ways bad.

Fun fact, they had an internal proposal to buy Github when it was much smaller: rejected by the old guard; then a proposal to clone Github using git instead of Sourcesafe, also rejected.

In the end, they bought Github at a muuuuuch more expensive price, and it was still worth it given how half the company was secretly using Github Enterprise and then checking in their "final" work into the big monorepo.

Now the monorepo is git, and Microsoft first-party supports git on Windows using their on-top-of-NTFS-because-NTFS-sucks layer.
I didn't know zeal was being updated at all since the last "release" is almost 5 years old.

I recently discovered devdocs.io and the emacs integration[1] and like it so far.

[1] https://github.com/astoff/devdocs.el
JSON makes me realize how good we actually had it with XML.
Cool, someone re-start the RARBG on Amazon then. What's the fuss all about?
Just checked, isn't he the same guy who quit NYC over some legal / tax / liscensing dispute with authorities?
Yes, various types of burning with energy recovery are better than landfill on various metrics.

https://en.wikipedia.org/wiki/Waste_hierarchy

You can extract metals from the ashes as you mention.

For regularly used things like drink containers it's not quite as good as recycling them though.

And as more renewables enter the grid, theres less fossil fuel to displace but if the RDF (resource derived fuel) can be stored then it acts as a kind of storage.
Yes, it was clearly implied when they said, “people.”

Otherwise they would have said, “it really is funny how impressed I used to be”.
> Second, if a company has a trademark then part of maintaining that trademark is to act upon illegal use of it. If you don't act on trademark infringement, whether counterfeit or otherwise, then theoretically your trademark could be at risk of formal challenge.

How does trademark infringement enter the conversation? The products aren't counterfeit right?
> Here in Norway, we call the moose for “elg.” Same in Sweden. Well, almost the same. They call it “älg”. It's very similar to the English word elk, but it means moose, though elk is of course also in the deer family.

The word "elk" in English just means a moose:

https://en.wikipedia.org/wiki/Elk#Naming_and_etymology

In North America there is an animal which is not a moose, but which are "for their unusual largeness improperly termed Elks by ignorant people"!

> Sadly, being such a heavy animal – it can easily weigh a literal tonne – it’s also the source of some very serious car accidents, especially on lonely stretches of roads passing through forests, for which there is a lot of on the Scandinavian peninsula.

A Swedish friend told me that if you take your driving test in northern Sweden, there is an extra section about emergency stops, precisely because of moose danger.
> It is very difficult to use the terminology even though it is the most accurate, because conservatives are the most loud adversaries of it, but they are just hateful racists, bigots, ableists, sexists, transphobes, homophobes, islamophobes, xenophobes, etc. Which of course invalidates everything they ever say.

Perhaps you should re-evaluate these assumptions and actually listen to people before you dismiss them.
The interior reminds me of everything. It is the bootstrap.js of interior design.
Never had any threatening letters in NL, so perhaps this varies by country.
Apple Teases Dawn of a 'New Era' and Coding 'New Worlds' at WWDC
This trend for making workspaces ever more like cafes or bars was mystifying even pre covid, especially for offices in downtown locations.
> I personally don't get offended by words, but I guess if you are born after the 2000's perhaps you should avoid it.

Ouch
> once the novelty wears off it's still really hard to beat working from home.

This is fairly subjective/personal. Unless another horrendous global pandemic results in me being legally required to (odds of this seem... medium? The period between the 1918 flu pandemic and covid was historically rather high), I don't plan to work from home again. Not for me, at all; I wouldn't consider taking a remote-only job.
Please tell me that you're making this up about there being GPT "influencers".
Here is the "official" history of F#: https://fsharp.org/history/hopl-draft-1.pdf

Don Syme began with a port of Haskell to .Net, but SPJ convinced him that this is a bad idea, so he did choose OCaml. ("The Decision to Create F#", Page 9)
I mean, it did take a pandemic, war, and rampant global inflation to finally kill it. Testament to the resilience it showed throughout its lifetime. I think it's somewhat poetic that it was unrelated to law enforcement pressure.
What a shame. They could have asked for donations but me as an Eastern European, I get it -- usually if we get to the point of needing donations we feel ashamed and humiliated and just close shop.

I hope somebody picks up the flag. Illegal and copyright-protected piracy aside, there were tons of royalty-free and non-copyright-enforced works of art there and it would be a big hit on humanity's culture at large for all that to be lost.
AB testing showed that sales increased after indicating the head should be removed earlier than necessary.
> But, if I was in my 20s again I'd probably have a different opinion.

Or in your 60s and empty nester.
The have been a lot of terrible casualties of the war, but this one was very unexpected.

Deeply sad about this. Nothing lasts forever.
[2016]

Amusingly enough, Zuckerberg's character in the 2010 film The Social Network uses Iceweasel on KDE.
Looking back my best office perk was working in the countryside and having fields to walk through during the lunchbreak.
> it occurs to me that the underlying problem we’re facing here comes down to stakeholders and incentive structures.

>(...) our civilization will continue to be bottlenecked by problems of culture. OpenAI will succeed/fail for cultural reasons, not technical ones. Humanity will benefit from or be harmed by ai for cultural reasons, not technical ones.

It's capitalism. You can say it, it's OK. Warren Buffet isn't going to crawl out of your mirror and stab you.

All of the "cultural" problems around AI come down to profit being the primary motive driving and limiting innovation.
It seems as easy to fake a smile with the eyes as with the mouth, though?
Are there more dense memory chips or is it more of the same memory chips? Putting more memory chips on something doesn't have anything to do with increased density, which is what moore's law is about.
In hindsight, nothing screams ZIRP more than a tech office with a replica of the Oval Office.
Inference is far more expensive on GPT-4. My take has been the same and I think it’s a cost-saving move. The responses are shorter and less complete than they were just a few weeks ago.

Right now, I don’t think it’s possible to scale a service really big based on GPT-4 because of cost.
Could be. But it could also be that those people (myself included) are right.

It's not that this is without precedent - there's a paper and a YouTube video with Microsoft person saying on record that GPT-4 started to get less capable with every release, ever since OpenAI switched focus to "safety" fine-tuning, and MS actually benchmarked it by applying the same test (unicorn drawing in tikz), and that was even before public release.

Myself, sure, it may be novelty effect, or Baader–Meinhof phenomenon - but in the days before this thread, I observed that:

- Bing Chat (which I haven't used until ~week ago; before, I used GPT-4 API access) has been giving surface-level and lazy answers -- I blamed, and still mostly blame it on search capability, as I noticed GPT-4 (API) through TypingMind also gets dumber if you enable web search (which, in the background, adds some substantial amount of instructions to the system prompt) -- however,

- GPT-4 via Azure (at work) and via OpenAI API (personal) both started to get lazy on me; before about 2-3 weeks ago, they would happily print and reprint large blocks of code for me; in the last week or two, both models started putting placeholder comments; this I noticed, because I use the same system prompt for coding tasks, and the first time the model ignored my instructions to provide a complete solution, opting to add placeholder comments instead, was quite... startling.

- In those same 2-3 weeks, I've noticed GPT-4 via Azure being more prone to give high-level overview answers and telling me to ask for more help if I need it (I don't know if this affected GPT-4 API via OpenAI; it's harder to notice with the type of queries I do for personal use);

All in all, I've noticed that over past 2-3 weeks, I was having to do much more hand-holding and back-and-forth with GPT-4 than before. Yes, it's another anecdote, might be novelty or Baader–Meinhof, but with so many similar reports and known precedents, maybe there is something to it.
I found a replacement is the same as Rarbg https://torrentgalaxy.to/
Was on my phone and thought it was bizarre indeed. Left me hanging and didn’t read the rest of the article.
Kind of - Walmart stuff is lower quality so while it’s cheap at the time of purchase you buy more frequently and spend more long term. Many people can’t afford to do otherwise but I’m not sure I’d describe it as good.
AFAIK they don't actually inspect your comms, instead they leech from you to get your IP address and start the legal procedure. The way I understand it, they don't send you a letter for downloading but for sharing. Correct me if I'm wrong though.
But the statistics here are "number of times it has been fed and positively trained with racist (or biased) texts" - not crunching any real numbers.
rutracker is amazing. I've had no problems with the stuff I download from there (games, movies, books and software) and they also have some super niche stuff as well. Rip RARGB
I'd bet it works on human too. Will update you on that.
> Every morning GitHubbers choose where they want to work: in one of two bars, several cafes, a library, a park, a speakeasy, a museum, a coder cave, or from home.

This is what it looks like when you have more money than sense. Just imagine. You want to build an office for people to work in to create your business. So you build a half dozen unrelated storefronts, just so your workers have the convenience of working from some other business.

If you didn't have the money to build that, what would you do instead? Text your coworkers to meet up at a real dive bar, coffee shop, library, museum. Take the money you would have spent on a plush office, and instead invest it in the actual business: more unique value-adding feature development, more customer engagement / support / UX, more reliability, more training and iteration on remote culture.
Yeah, and I think that's why a language like Clojure, which is substantially more opinionated than Scala, has been relatively unphased by Kotlin. Clojure is much more niche than Scala, and the adoption has been much more of the "slow and steady" kind.

People who are writing Clojure likely aren't looking at Kotlin as an "alternative"; while they superficially occupy a similar space, I don't think Clojure has any ambitions of being a "better Java", but rather a "pretty decent lisp that runs on the JVM with some cool native data structures and good concurrency tools". I do like it better than Java, but that's because I like FP and Lisp a lot; if I needed a "better Java" right now, I would unsurprisingly probably reach for Kotlin.
That leaks the subject line (and other metadata), so I'd hardly call PGP over Email a secure communication protocol. You have to do something like use random UUIDs as subjects so you can track conversations without leaking what they're about. It's pretty good privacy for the message body, with pretty shit usability if you want security.
Most likely reaction to shipping your project for the first time: crickets.

I don't say this to be disparaging. We set up mental milestones that really aren't important to the rest of the world. What is really important is your commitment over time - shipping again and again. Quality emerges over many iterations.
I thought RLHF with LoRA is precisely the alignment method.
Your link is not describing Systems Engineering. It is describing a course related to Computer Science (which is my bachelors). People are overloading the term Systems Engineering.

Systems Engineering has its roots in Industrial Engineering. Which is why you will see courses in Systems Modeling and Analysis (eg Discrete Event Simulation), Decisions and Risk Analysis (eg Game Theory, Linear Programming), Requirements Analysis and Principles, and Researcb Methods (Factorial ANOVA, p value, t value, Residual Analysis, Regression Analysis, Treatments, etc.)
How difficult is it? Difficult or really really difficult?
For me 90s job hunting everything looked Regus style corporate
Because humans keep pouring massive amounts of money into making this happen. When you invest dedicated effort in making something happen you greatly increase the probability that it happens. And in this case it is a reinforcing feedback loop. Better technology begots better technology. Intelligence begots more intelligence.

Evolution has to take a random walk to get where it is, it doesn't necessarily have a goal past continuation, intelligence shortcuts that. It can apply massively iterative efforts towards a goal.
Lack of copyright for "AI generated art" applies to fully AI generated art, ie, give pure text, get image. Merely using AI as one part of an overall human done composition or work, like to help fill in some cropping or backgrounds, isn't going to then negate everything else. So no if anything use in this kind of context would be one of the likely copyright preserving ones (unless it was abused to the point of legally negligible artist involvement).

Granted sure, if there was a serious lawsuit I'm sure going forward defense lawyers would do discovery to try to see if it was AI generated or not. But if it wasn't, then it'd be pretty trivial to show the original Photoshop (or whatever) files and where, if anywhere, AI was used and that it was just one part of a human created composition and that'd be that.
Couldn’t one use Obsidian to do the same task? It sounds like it could.
the work I do as an ordinary [IT] systems engineer seems to fit that traditional definition just fine, with the work involving systems thinking about, and dealing with, how different parts of company systems interact (different groups' applications, network, service providers, customers, employees, each logical layer of each stack the software runs on, to varying degrees, down to bare metal, etc)
Rust is a low-level language, which requires the dev to track lifetimes as well - that’s the reason it has harder onboarding.

It managing an even more complex type system without any of the disadvantages seems to make it clearly great!
It baffles me too. They're for perching, not for sitting. Compare that with something like an upmarket Korean internet café, where all the chairs are supremely comfortable and the monitors are a gorgeous 4k 120Hz. It's really a lesson in the designers being the users. Internet Café owners in Korea generally grow up using them too. Tech offices are made by the same people who design hipster cafés, wealthy homes, and restaurants interiors for a living. They don't understand the demands, and go for aesthetics over function.
> However, it's pretty obvious that Russia is doing massive amounts of trade with China and India.

For sure India and China are eager to exploit the very unequal relationship where Russia now needs India and China much more than the opposite.

The Russian economy is not collapsing, but I'm pretty sure it's hurting. Even if we had real GDP figures, they'd be misleading as now a significant part of the GDP is coming from production of military gear which is literally being burned and does not generate income or feed into other parts of the economy.
Systems Engineer is being thrown about haphazardly

People are overloading the term Systems Engineering.

My bachelors is in Computer Science.

Systems Engineering has its roots in Industrial Engineering. Which is why you will see courses in Systems Modeling and Analysis (eg Discrete Event Simulation), Decisions and Risk Analysis (eg Game Theory, Linear Programming), Requirements Analysis and Principles, and Researcb Methods (Factorial ANOVA, p value, t value, Residual Analysis, Regression Analysis, Treatments, etc.)
This made me laugh. Even before clicking the link.
Yes, GPT-4 has become very stupid recently. It's a shame because consulting with it became a normal part of my workflow. Now it's identifying issues in code that aren't actual problems at all. For instance, it's telling me that my use of `await` in an `async` method is inappropriate. WTF??? I'm obviously awaiting an async operation before setting a state based on the need for that operation to succeed. I'm pretty certain it wasn't this brain dead a few weeks back.

EDIT: GPT-4-0314 does appear to be less broken than the current GPT-4. Although it understandably misidentifies some of my code as problematic given its lack of context, it isn't suggesting anything that's clearly wrong under every circumstance even after re-running the prompt a few times.
Engineer gonna engineer. Someone probably just had the time and misplaced passion for security, and when they explained at the weekly standup that they'd added lockout after three attempts, everybody just nodded and moved on.
I have noticed the same kind of degradation -- pair-programming with GPT4 used to feel like I was working with one of the smartest people in the world, and now it's really uneven.
How and why are you so angry about this?

Lifecycle analysis seem to show potential benefits but you seem bizarrely sure that it not only doesn't work, but it's some dark conspiracy to attack the noble landfill industry and poison our pristine roads.

https://www.researchgate.net/publication/343789799_Recycling...

It's not like standard asphalt is made of rainbows and sunshine:

> asphalt, black or brown petroleum-like material that has a consistency varying from viscous liquid to glassy solid. It is obtained either as a residue from the distillation of petroleum or from natural deposits. Asphalt consists of compounds of hydrogen and carbon with minor proportions of nitrogen, sulfur, and oxygen.
I've been using Jackett for torrents recently. It seems to work really well if anyone is looking for alternatives.

https://github.com/Jackett/Jackett
Probably made by the same interior designers. Same aesthetic, with no consideration as to the purpose and required function.
More’s law: if there is more of it, it does more!
I don't think the law really differentiates between used and new goods, nor big vs small.

It's true that these rules are rarely enforced about you selling an old game to your mate in a bar... But in principle I think any IP rights holders of IP within that game could attempt to block such a sale.
This is why I am personally excited.

* Simulcast - WebRTC has the concept of uploading multiple quality levels baked in. This means they don’t need to be generated server side anymore. Huge savings on cost/complexity for broadcast servers.

* P2P - WebRTC lets two hosts connect to each other. Instead of uploading to a 3rd party send video directly to a friend! Big wins on latency, cost and privacy.

* Latency - With WebRTC you can get ~100ms broadcasting. Pretty magical if you are interacting with an audience.
Language models' potential role in AGI is a red herring.

GPT shows that there's enough "there" to draw billions of dollars and thousands of the smartest researchers on the planet into the general problem space of creating intelligent machines. I suppose the closer analog would be to Szilard's chain reaction work which prompted the Manhattan Project.

There might be another AI winter or 4 or 10 or 100 before superintelligence, but they will almost certainly be winters and not ends of the road.

If there is any route to superintelligence and we don't annihilate ourselves by some other method first, we will get there. I don't get what the conceptual challenge with superintelligence is. Do you believe that the brain that happens to exist inside the naked apes of Earth is the absolute pinnacle of possible intelligence?
Great comment. This is exactly it. The best of both worlds is when you live close to the office and have the flexibility to come and go whenever you please. For companies that means either an office in a place like Manhattan where they know that they can hire young talent in close proximity to the office, or an office somewhere in the suburbs where they can attract older folks.
It's deprecated and I believe it only used to work in very old AWS regions for legacy reasons. Not sure what the current status is but it clearly has no future.
> figuring out a governance structure that works for everyone

Does anyone honestly think this is even possible?
Russia's April gas exports to Europe up 7.5% from March, and as statistica link shows, Europe is nowhere close to cutting off Russian gas. The whole narrative that EU is independent from Russian fossil fuels is just fake news.

https://www.reuters.com/business/energy/russias-april-gas-ex...

https://www.statista.com/statistics/1306522/key-importers-of...
I don't know what the breakdown is, but I know there was code for training the llama models on a DGX (640 GB of VRAM, repo is now gone), and it could only train the 7b model without using deepspeed 3 (offloading).

The ML engineers in my group chat say "1 DGX to train 7b at full speed, 2 for 13b, 4 for 30b, 8 for 65b"
I think he's talking about precision, not accuracy.
> If tech can look past the totalizing shame it currently feels, it can more honestly evaluate both its accomplishments and its shortcomings, and find a way to weave them together into a memorable public legacy.

I don't live in the U.S., but I think the article has over done this no? Shame in the entire sector? This can't be real.
Reminds me of https://en.wikipedia.org/wiki/Ninja_rocks.
That's the one, thanks (Y)
I've tried to use an offline documentation browser a few times before (Dash on Mac) but have never really been able to get into the habit of using it. I generally just end up Googling for what I'm looking for. Outside of low-connectivity situations, what benefits do people find with these viewers?
> A decade later, there are no viable alternatives to solve that instead of the costly replacement of hardware with more expensive hardware.

I mean, that's the root of scaling as a principle, right?

You could viably start training an AI on your cell phone. It would be completely useless, lack meaningful parameter saturation and take months to reach an inferencing checkpoint, but you could do it. Nvidia is offering a similar system to people, but at a scale that doesn't suck like a cellphone does. Businesses can then choose how much power they need on-site, or rent it from a cloud provider.

If a product like this convinces some customers to ditch older and less efficient training silicon, I don't see how it's any more antagonistic than other CPU designers with perennial product updates.
Doesn't Jackett still need trackers such as Rarbg to function?
Also a Tu-104 crash with all USSR Pacific Fleet admirals and command on board:

https://en.wikipedia.org/wiki/1981_Pushkin_Tu-104_crash