skysight-inc/HackerNews huggingface dataset:
> C++ 17 at last provided std::string_view which is the thing you actually wanted for about two decades

Err..string_view was available in Boost for quite a while actually - at-least for a decade as far as I remember, possibly more. There are so many missing features in Rust that are only available in crates even today: sane error handling for one/custom allocators for another, but god forbid if you criticise Rust on that basis. You will get downvoted to oblivion.
The purpose of most eurocrats is to write long reports to other eurocrats justifying their time and expenses. It's normal to see people claim authority on things they have very little idea of. The recently-caught MEP who took bribes was apparently in charge of science and tech, AI & blockchain , and the things she would say in public were astounding. https://www.youtube.com/watch?v=ylCxsN3qlkU?t=5m30s
All the data disagrees with you here - we eat content up.
Being successful and popular doesn't make it a good technology, or even a technology in any way shape or form suited for what it's used
I remember somewhere in one of my undergrad courses textbook that had a quote to something of the effect that C++ was a federation of languages. And honestly, it still feels like that all these years later. It's both a blessing and a curse depending on what you need to do. Most folks probably never venture fair outside their specific subset of C++ to use anything else and probably an unlucky few have to have an esoteric level of understanding the language to do their work. I don't envy the latter.
I think it's because Iceland can't issue long-term visas due to the Schengen-agreement, only short term tourist visa or full residency.

Contrary to popular belief, at least within the Schengen-area, it's hard to immigrate into the Schengen-area from the outside.
EV startup Lucid plans to cut about 18% of its workforce
Our most basic intuitive notion of consciousness is that inanimate objects aren't conscious, awake people or animals are, and that sleeping people or animals aren't (except maybe when dreaming). Pursuing this line, there's a school of scientific inquiry looking at this and working of the notion that conscious experiences are ones we can form memories of and talk about later while if we can't do that we aren't really conscious of an experience. And this then leads into the realm of subliminal stimuli which can influence a person's behavior a bit but whose influence fades out in about a second before disappearing as if it was never there as the brain activations fade away.

You have research involving patients with odd traits like blindsight, where damage to their brain prevents them from being consciously aware of things that their eyes see despite the brain processing the images it receives. They can pick up objects in front of them when prompted but unlike people with normal vision can't describe what they see nor can they look, close their eyes, and grab it like most of us can.

On this metric it seems like systems like GPT aren't conscious. GPT4 has a buffer of 64k tokens which can span an arbitrary amount of time but the roughly 640 kilobytes in that buffer which is a lot less than the incoming sensory activations your subconscious brain is juggling at any given time.

So by that schema large language models are still not conscious but given that they can already abstract text down to summaries it doesn't feel like we're that far from being able to give them something like working or long term memories.
I bet Ylva didn't even write it. She's just a talking head for those who don't want visibility.
Apple Rolls Out Buy Now, Pay Later Plan
The Streaming Book by Matthew Ball
For a happy medium, check out Nomad. I've been managing our infrastructure on Nomad for years by myself, with upwards of 40 nodes (auto-scaled) and the number of problems we've had can be counted on one hand (and was almost always a simple user error or fixed by upgrading). I spend most of the time I would otherwise spend doing tedious ops shit actually building things.

That said, Nomad and stateful services don't mix. Don't try. I think the same goes for k8s though.
TL;DR: Self-selecting social club wasn't selective enough.
So let's just skip all the unnecessary useless steps and intermediaries in between, and let those cryptoi holders that are so willing to pay those artist just use those debit cards and visa integrations to pay the creators in actual dollars.
I already had that fun back in the 80s. Wirewrapped a lot of my own projects. Now I prefer to just use an FPGA.
Unlike all the Waymo cars and 3D printers, GPT4 is already out there. Anyone can sign up and use it. As long as OpenAI can scale it, even if no further improvements happen it (or a variant of it), will soon be as mainstream in companies as MS Office Suite of Products.
Being boring has nothing to do with scale. Some of the biggest applications run on incredibly simple architectures, and often are able to scale so well because of that (boring) simplicity.
Thanks for the positivity! We're going to continue to try to make it better.
Yeah, Finland and Switzerland are 3rd world countries, in the Schengen, but not developing countries.
It's a company with 750M MAU, so very large but still not something most US readers would be aware of. If it was a French or US developer, they would have just used the name of it.
For actual classical musicians, I'm not sure how much they would ever realistically make off of album sales. Most are funded through donations AFAIK and then through ticket sales. There's a reason why almost no one in the classical scene cares about piracy aside from maybe sheet music (even then, the photocopier is used pretty heavily).
If you don’t shift gears, then your pedals increase in speed as your bike accelerates. So your power consumption goes up with speed even though force is constant.
Deleted. Don’t want to participate in this conversation sorry.
I wish I could believe that the individual is just a useful idiot. Part of that rhetoric mostly works in US too, where I kinda place the blame on the old guard for not understanding technology, where it is not exactly given that they do not.

edit: From where they sit ( position where they have to champion this effort ), it is just not part of the equation that is relevant to them so any means to get public on your side even with comments about sniffing is justified. HN will ridicule it, but a lot of people will swallow it wholesale.
Of course this is great news, I hope these models can be fine-tuned to be like lighter versions of chatGPT. But I remember reading in the LLaMA paper that a small model can still improve when trained more than the Chinchilla budget.

> For instance, although Hoffmann et al. (2022) recommends
training a 10B model on 200B tokens, we find that the performance of a 7B model continues to improve even after 1T tokens.

Cerebras says:

> For instance, training a small model with too much data results in diminishing returns and less accuracy gains per FLOP

But this is only of concern when you care about the training cost, such as when you are budget limited researcher or a company who doesn't deploy models at scale. But when you care about the total cost of deployment, then making a small model even better with lots of data is a smart move. In the end it matters more to have the most efficient model in prediction, not the most efficient model in training.
Focus is a very high level feature.

You have thousands of sensors receiving information at very high rates, ALL the time. Whether you are focused or not, you never have any direct awareness of their individual signalling.
But don't forget the near antonym ELIZA effect, helpfully linked from the same Wikipedia page. People love to project cognitive explanations onto any complex system behaviors that they observe.

I only briefly toured the AI field over 25 years ago after the prior AI winter was old news. I remember a couple epigrams heard from specialists at the time:

"AI is just advanced algorithms", which I think is a (slightly bitter, mostly pragmatic) reflection on the AI effect by people who had had to adjust their outlooks after that AI winter.

"Play syntactic games, win syntactic prizes", which I think was meant to remind one of the ever-present ELIZA effect.

My biggest worry about this current AI hype cycle is for how it will be marketed with the same kind of obfuscation the Web 2.0 and after user-driven content distribution systems. I'm afraid most consumers do not understand how much smoke and mirrors is involved in making products seem smarter and more authoritative than they actually are. How users themselves subconsciously cover real gaps in the correctness or completeness of the products and put more faith in them than is really warranted.
Even Fisher Black admits that there is a currency trap at 0% and he doesn't mean that the problem is that the interest rate is too low but rather that the zero lower bound is like a minimum price control that constraints the formation of interest rates and he basically predicted what the IMF blog Said about this resulting in cash and electronic bank accounts ending up with an exchange rate between them.
I'm 40. I'm a single parent and divorced. I'm a Veteran.

I spent my 20s going to college, working for a porn company (not as a performer), and then joining the Navy. I paid off student debts, alimony, and child support. I have one successful and one failed startup under my belt. I've always, always, always, lived paycheck to paycheck until recently.

At 40. I was finally able to save up enough for a house in a HCOL city. I have roughly 6 months of savings and not a whole lot for retirement.

At 50 - I'd love to still be in tech, but I don't see it happening. I already see the writing on the wall that I need to start going the management route or I really need to find my niche as an individual contributor to be retained. I'm the old dude on my team.

In retrospect, I had a blast in my 20s and would not change it for the corporate grind that I'm currently in.

All of us have different stories and paths. There is no "right" or "wrong" path, it's all a journey.

Sure, if I had done things a more responsible way I may be in a completely different situation in life. Who knows? I don't.
Those guidelines make sense, but they're not just blanket keyword bans.

For example, it would violate their industry standards to send messages like 'Cool your thirst! No-ID beer sales in your area, reply now for $5 off your first 12-pack', sent out as a bulk message. But if I just message you saying 'wanna go for a beer later', it's not a commercial message. These guidelines are to prevent spam that might fall in one of the SHAFT categories, not to police communications between private individuals.
really you don't understand that? fascinating.
I'm eager to exchange ideas, but it's important to engage with those who are genuinely interested in constructive dialogue and are open to considering different perspectives.

If one chooses not to actively participate in the exchange of ideas, it may lead to a perception that the informed individuals are being condescending, when in reality they're sharing knowledge and perspectives.
Russia’s Rostec allegedly can de-anonymize Telegram users
Right, didn't mean to imply your pal's slacking, meant to add on to the "horrendous work culture" bit. Hell, even for the ones in the position of not having much to do but needing to keep a full-to-bursting calendar for what I assume are defensive-against-severe-organizational-dysfunction reasons, that's not exactly a happy-go-lucky stress-free time.
A Course in Cognitive Linguistics
Why not group it under the "Social hysteria" bucket?
With enough time, it will be democratized. Everything eventually does. It's the reality of living in the techno-information age. With enough time, enough of the information gets accumulated and used by enough of the masses.

Used to be that only large established cabinetmaking shops could produce quality cabinets at scale, now any joe schmoe can rig up a CNC machine, buy a 600$ dewalt planer, and a few other budget tools and can do it in their garage.

It used to be only hollywood studios could produce movies, scenery, and editing at professional levels, now film nerds with programming chops are creating Mandolorian like experiences with Unreal engine.

It used to be only large recording studios could produce the latest beats and set trends in various music genres. Now nerds like Zedd (well not anymore but he started out that way) do it on their personal computers and do it better than most producers.
Having worked in the generative model space for years I agree.

People don’t realize how accurate NLP, generative and similar systems are expected to be
The comment is, but the start of the PR (by a person from the Apache Foundation org) matches matches the "we told Apache" date.

The "all hell broke lose" starts with that comment.

Note that the LDAP part wasn't sufficient to fully excise the security vulnerability.
Great job on AI voice blended with Fivver graphics. Got my attention :)
> You follow it closely and care enough to comment here

Yes, because I'm concerned about the societal effects of it. What I don't follow closely are the implementation details.

> You're trying to spread a myth

No, I'm simply reporting what I personally observe. I even stated where I've observed it (mostly here on HN). My observations can, of course, be incorrect -- but describing it as "trying to spread a myth" is misleading. I'm not trying to spread a myth at all. I'm explaining why it is that I view the cryptocurrency space as having a lot of sketchy things in it.
So you didn't renew your domains and chose not to have them auto-renew?
What do you mean by existential threat? Walk me through the scenario that starts with the US not banning TikTok and ends with the non-existence of the US.
You don't even need to have an European perspective to realize this. Do you think Facebook, a private company, has any problem with selling (American) data to the CCCP?
> 3. If AI becomes dominant, there will be new roles such as prompt engineers, that could pay surprisingly well.

A lot seems to be relying on the idea that this role will pay well or will somehow reach an equivalent level of complexity as modern knowledge work, but that just seems to be speculation at this point. As the complexity of a tool like ChatGPT increases, the complexity (skill) required for prompt engineering might diminish to the point where customers are just interacting with the tool instead of a prompt engineer who can "translate the business logic". Or it might go the other way. No one knows really at this point.
>I'm interested in seeing the results of an Alpaca method

You're talking apples to oranges. The "Alpaca method" is a dataset generation method. Nothing about Alpaca's training method is novel, interesting, or efficient. Alpaca used the same standard training method everyone else uses, A100 clusters.

If you mean LoRA/PEFT training which people used to replicate Alpaca then that is also apples to oranges because LoRA/PEFT is a finetuning method not a pre-training method.
There’s also forced tech transfer
'Tylenol Lite' – Will a safer new useless painkiller replace a dangerous old one
What does an AR-15 do to a human body? A visual examination
That's indeed quite worrying, this plus the American Cloud Act means online privacy is at risk..

I wonder why Mullvad doesn't complain about the American Cloud Act, or did they already? Mullvad employees could be extradited to the US if they do not comply (opening up your servers for example), since it's a bilateral agreement with the EU

It's a pretty dark era ahead of us: https://www.justice.gov/criminal-oia/cloud-act-resources
It’s neither meaningless nor dangerous. I’ve been part of a community that has found this helpful for decades.

But a key factor with us is that we use it as a preference indicator, not a reality indicator. It has heuristic value as a way of talking about universal human experiences.

I want to be thought of as an ENFP, so that’s what I call myself, even though the test thinks I am INFP. The test is not important. But the letters are shorthand for a set of policies by which my behavior can be made sense of.

Maybe there is a better way. But, no, it’s not meaningless.
The issue is framed at the top of the article - SBUX is not removing tipping options, it is not adding them. Meaning whatever the union has negotiated is still in place exactly.

I am not prepared to argue the details of the barista labor market but SBUX has a reputation for taking good care of their employees, compared to other places that hire that type of talent (401k, tuition coverage, etc.) Meaning, it expects employees to work hard/go above and beyond and tries to do the same for them - at least in their own assessment and I bet many employees agree.

The employees who chose to unionize presumably didn't like what the company was offering them on its own and decided to lever up their demands. That changes the relationship from "taking good care of each other" to bounds by rigid rules. Once you bind me by rigid rules, I am not giving you anything extra (if for no other reason as I can use that as leverage in our next negotiation which is what you're forcing me to do)
I've been following open source LLMs for a while and at first glance this doesn't seem too powerful compared to other open models, Flan-Alpaca[0] is licensed under Apache 2.0, and it seems to perform much better. Although I'm not sure about the legalities about that licensing, since it's basically Flan-T5 fine-tuned using the Alpaca dataset (which is under a Non-Commercial license).

Nonetheless, it's exciting to see all these open models popping up, and I hope that a LLM equivalent to Stable Diffusion comes sooner than later.

[0]: https://github.com/declare-lab/flan-alpaca
From the article:
The malicious versions of the Pinduoduo app were available in third-party markets, which users in China and elsewhere rely on because the official Google Play market is off-limits or not easy to access. No malicious versions were found in Play or Apple’s App Store. Last Monday, TechCrunch reported that Pinduoduo was pulled from Play after Google discovered a malicious version of the app available elsewhere. TechCrunch reported the malicious apps available in third-party markets exploited several zero-days, vulnerabilities that are known or exploited before a vendor has a patch available.

As far as I know, China is the only country that has 3rd-party Android app markets of that size because Google Play is literally not allowed there. So I don't think this would be a significant story anywhere else in the world.
Also known as layers of abstractions. The entirety of (software) technology is built on that concept.
> my understanding is 15% of all US residential real estate is bought by foreign buyers

It’s not. If an article says that, it’s using such an absurd methodology that renders it useless.

The number likely hovers around 2-3% depending on how you define foreign investor.

There’s no QA around these types of articles and every incentive to just come up with the biggest number possible to try and rile people up. Often these are press reports from people with vested interests in real estate.
> Uncountable reals only exist as abstract thought experiments.

Technically, sufficiently large natural numbers, such as 10^10^10 also exist only as thought experiments.

Technically, if we require the number to refer to some number of objects, there is such as thing as a largest natural number - it is the number of all particles that exist in the universe. If you add +1 to it, the result of that addition exists only as a thought experiment.
Yeah, I think the underlying theme here is that there is a wealth gap in early adoption of new technology. Nowadays you can buy a Chromebook for $200, but in the late 1990s you'd be lucky to get a computer for under $2000. That led to wealthier kids getting earlier access to computers, which gave them an advantage in early development as compared to their peers who never had the same opportunities. I agree we'll probably see a similar curve with AI.

It's probably worth anticipating and finding a way to mitigate it. In the early days of computers and the internet, schools and libraries had computer labs that were a decent equalizer for kids who didn't have them at home. Maybe we should be thinking about how to make early AI similarly accessible.
I'm not convinced the pollution of AI's training sets from a feedback loop of self or other AI output is a solvable problem. For all we know, the present is capable of the best AI output we'll ever get and the quality will steadily and irreversibly degenerate.
Thank you for reading! I appreciate all the feedback in this thread (this is OP).

I think the Big Data comparison is the right one, though it feels like AI is moving even faster (certainly on the product innovation side of things). Notably, though, there was a TON of money spent building out the Modern Data Stack, as players like Snowflake emerged in that era. So if AI can mirror that success, but faster, I think that's pretty amazing.

Agreed on the regulation point, thought it again feels to me like AI is evolving faster than prior tech breakthroughs (feel free to disagree). If for prior loops the regulation was already slow and lackluster, I do worry about how it keeps up with faster and faster innovation.
If you told me that LLMs should be trusted to drive cars or operate any other weaponry, I'd tell you it's never going to happen. But they're not: the jobs they'll be doing are the liberal arts/management jobs that have a tremendous fudge factor, close is more than good enough, and failure has few consequences[*]. If an LLM doesn't give me what I want, I can tweak it and try again; absolutely no sweat. Difficult to do after a fatal car accident.

edit: and the ability to construct intention from input has to make them ideal for interfaces (from an ignorant layman's pov.) Is anybody using generative AI to create interfaces for prosthetic limbs or other peripherals? Search engines offering them in order to interface with the internet seems like the least interesting thing to do with them, although (as I mentioned above) with artistic/creative output it's difficult to define failure.
Lots of companies "supported" Linux. IBM's big announcement in early 2000 was significantly higher profile than what most large companies were doing at that time however.
This sounds like a myth. If the value of your currency is increasing, staying at 0 means you're actually turning a profit, just as making a 10% profit when the inflation is 50% means you're losing money. Inflation is a tax and redistribution of wealth, it's really not more complicated.
https://archive.ph/epYI4
Local tech worker in Iceland, and this is the going rate for a midrange software worker.

Wages here have grown ~25% (for the whole country) over the last ~4 years (if my memory from the reporting on this is correct).

Everything has to be imported, and what little that isn't is heavily reliant on imported goods.

Living here is mightily expensive.

Ofcourse you could live more frugally, and obviously most here do. Tech workers here are in the top income bracket like in most other places.

Not sure why digital nomad visas should have lower restrictions though. We want foreigners that come here and spend their money. No need to make it easier for the frugal tourist to come here for longer.
Cassandra is probably in the realm 'boring and scalable'