skysight-inc/HackerNews huggingface dataset:
Thanks. I'll consider it but I haven't deployed a model or service like that, so it'd be more of a second project in itself than a funding mechanism, probably. I was just realizing this morning how far behind I am on paying work from getting overly distracted by Bark lately. And it's a lot behind so it was kind of wake-up call. Though some of that is adding new features and trying new ideas (some to be seen later on the public fork) not all is support and stuff. Bark is a wild model, a lot of silly ideas kind of work.
If there's no whistle to blow, why did the SEC issue a 5 million dollar fine?
Industrial Society and it's Future
They do. The realization that something can be applied in other contexts is what takes them from feeling overwhelmed that each step is something discrete and isolated to memorize to being excited about making it make sense.

This also happens after teaching them how to use their calculators. When they begin to be able to visualize what the approximate bounds are by understanding eg- an expression and what it applies to, it's the difference from someone who only reads word by word and someone who reads with respect to the content of the arc or chapter.

So much of math is contingent on parallels to other subjects, and I've always felt not enough was done to relate to students the similarities between the formal rules.

Ie- when teaching linguistic notation for grammar and syntax, you can have students reduce sentences to expressions (a la Backus–Naur form) and then "solve" for them using, eg- a semantic net. This is often much more comfortable to the numerically adverse, since the logic of language is often understood more intuitively. It can also be taught at any level using simple substitution, parts of speech, etc with the added benefit as a primer for its applications to machine learning.
A better example would have been the RWKV [1]

[1] https://github.com/BlinkDL/RWKV-LM
> such as OpenAI, Amazon, Google, and IBM from providing API access to generative AI models.

The headline doesn't fit the reality about the examples being open source.
Yep, reducing energy consumption and boosting performance per watt seems to be one of Apple’s main focuses, and for most people buying phones, tablets, and laptops that’s probably the correct choice — while raw perf is nice computers have been “fast enough” for a long time.

People who only browse the web need barely more than a Core 2 Duo, even now, and most devs and media professionals will find an M1 Pro to fill their needs somewhere between reasonably and very well. You know what almost nobody will turn down though? Laptops that are cool to the touch and rarely need to spin up fans and all manner of battery powered device that lasts longer, even doing “real” work.

Of course there will always be those who need the fastest big iron they can find and don’t care if they have to feed it 2000W and cool it a 15lb heatsink with ear piercing fans, but this group is comparatively niche.
> The most successful life form on a planet will probably always ask themselves this.

I wonder what answer the dinosaurs had? Perhaps they were happy becoming the fuel of our technology millions of years later.

_Most successful_ begs the question on what scale that would be?
> What was straight spelling 10-20 centuries ago is now mismatch

I'm afraid you don't know how things work when people are used to phonetic correspondence: pronunciation changes, and spelling follows naturally.

As an example, consider the name of Florence. Originally it was "Florentia", today it is "Firenze": the name itself changed, and the spelling followed suit. That's because people in Italy do not ever ask themselves: "How do I write this?". The alphabet is there to express how you pronounce it, and not to support a parallel written language that does (not) evolve by itself!

Spelling bees are for those poor souls who saw their language drastically changed when being invaded by the kings of silent letters and wasted ink.
I read somewhere that a DC to AC inverter wastes 5-15% of the energy.

I guess what is needed to run lights would be a solar panel, a battery and an MPPT controller.
What are some broken-down reasons why gaming on Mac didn't take off. I'm sure it's a few different reasons all together
It just astonishes me that in the year 2023 I got caught out on the old "well the specs look good" scam. I know Dell makes a lot of dreck, and have been thoroughly unimpressed with the kit that our office bought in bulk.

On paper this should have been a great monitor - 27", 4K, USB-C data & power, nice height/tilt/rotation adjustable stand, multiple inputs, USB hub integrated, etc.

Probably worst tech purchase of the decade for me.
I was surprised hearing Gillian Anderson's amazing English accent, but apparently she's lived both sides of the pond.

https://en.m.wikipedia.org/wiki/Gillian_Anderson
Another comment already reacted on that, but I want to bring it another example on how naive is the logic "being unbiased = reacting the same way when I swap element".

If I say "women should not be allowed in this meeting", this sentence will probably raise some alarm flags in the head of the person hearing it.

If I say "women should not be allowed in this bathroom", this sentence will probably not raise such alarm.

Does it mean it is biased?

I personally don't think jokes about my nationality are racist: there is virtually no effective groups that have real hatred for my nationality and that create real actions against it. If such joke exists, it's unrealistic to think it will have any bad consequences. But I can understand why jokes about nationality usually faced with a lot of racism are better avoided.

It feels like more and more people don't understand "equality": they think it means "everyone deserves to get a medal", while in reality, it means "people who have worked hard deserve a medal, people who haven't don't deserve one".
My two banking apps have run fine on LineageOS with microG. There are plenty of other things that don't work, but the banking apps are fine.
If an automaker sold a car with a metal spike coming out of the steering wheel instead of an air bag, would the resulting fatalities be because of the drivers' negligence too?
But "3nm" is not the only manufacturing service TSMC sells. They are selling from their other lines to lots of other customers.

What's the overall annual dollar amount TSMC sells, and of that, what percentage is Apple, regardless of the specific production line?
WHO advises not to use non-sugar sweeteners for weight control
Using faster computer chips to make faster computers, rather than Apple products, should be the focus, yes.
Ask your manager for a waiver, and an invention assignment on your side-project.

It’s not a business; but a side-project (right now) — assuming it’s tech-related. If it’s a non-tech business, where you’re not generating IP, even better.
Poor Dominic West, he'll never work again.
LLMs are text generation, and I'm responsible for what text I put into the world. The law probably won't move fast enough to catch up with AI, but people should be liable for the AI content as much as they are manually written content. We should not be plugging our apps into a black box of text generation and crying if it says something harmful/illegal and there was no human in place to proofread it.

Maybe prompt engineering and temperature settings can be enough to prevent this, but ChatGPT has only been out ~6 months and I find the attitude that the burden is on OpenAI to make sure it never says anything bad completely ass backwards. It's like a writer controlling his pen with puppet strings and going "wow, look what it's saying!"

What if I ask it to make a threat against a public figure or ethnic group. Am I liable? What if I only hint at it, with a high temperature setting, hoping it generates it? The line is nowhere visible and it will be open to the interpretations of whatever person is judging you and all the biases that come with that.

We need to stop acting like LLMs are anything they aren't. The only reason the Australian mayor is so pissed of about the "defamation" from ChatGPT is because it's being marketed as a knowledge database (including by many people on HN). It doesn't know anything, it just predicts the next word of what it says. And it will never reach a place where it's completely accurate, so why are we trying to litigate it as such?
Most of the teams I have worked on for the last decade have been spread across multiple offices which lead to going into a small office for a dozen people to be on different teleconferences in large open areas disrupting everyone. We started working from home naturally pre-pandemic at one of these jobs because it didn't make sense to come in and struggle to hear and communicate for no good reason.
Everything is political. Absolutely everything.

From the size of a parking lot to whether a browser can be included in an OS. To express an opinion on such things is an act of political activism.

Abortion, gun contol, vim. Which one is not political? Which one is not a matter of religion?
Thankfully, Aegis imports andOTP vaults with no trouble.
> True but he was martyred by the state. This is the core of Christian faith. God was put to death by an unjust government. It was Christ’s threat to state power that earned the execution.

Actually, the Gospels make clear that Pilate found Jesus not guilty, and it was only the threat of a riot by the priests if he didn't crucify Jesus that he crucified him. It's still ultimately the religious authorities who order his death, and in this case, the state is at best acting as a tool of the religious authorities rather than in its own secular authority.
Query Cloudflare Radar and our docs using ChatGPT plugins
How much is one math, anyways? Is it an equation, or a plus or minus sign, or a number, or what? For that matter, how much math is five maths?
I was on public transportation this morning, about to reach my stop, and I needed to ask a woman who was blocking my way to the doors to please excuse me. The train was quiet, I was right behind her, and I had the feeling that I'd startle her.

As the train rolled into the station, a thought popped into my head that I've had before - a friendly British accent would be disarming in a moment like this! It was a passing thought but an organic one, so it's funny to now read this.
Generally yes they are. Churches and non profits are generally 501.3.C organizations and share the same tax regulations.

There are, of course different types of non-profit statuses but nothing special available to churches from a tax perspective.
That's a hagiographic way of viewing Mormon (specifically, Brighamite) history, given they brought the vast majority of their calamities upon themselves (especially in the early days). Be it from a womanizing, ephebophilic founder who speculated with the financial fortunes of early members in Ohio, to disregarding pluralism on the frontier in their establishment of hegemony, to declaring himself a God after being a priest and a king with the second anointing, to the establishment of a theocracy in Utah and partial theocracy in Illinois, to the usurping of civil law for ecclesiastical law up into the 1900s, to the exercise of polygamy, to the persecution and targeting of established religions, to ongoing racist and sexist cultural philosophies and doctrines, to the hoarding of wealth, to paying tens of thousands of dollars for rugs, to the economic favoring of corporate leaders (e.g multiple homes for their leaders) and family (ever wonder who puts in the curtain dividers) there have been many, shall we say, missteps.

Fortunately for Mormons who remain in the Brighamite branch, there are several counterfactual examples of where their religion can go, not the least of which is the branch housed in the Community of Christ, which has followed a much more ecumenical path and openly confronted the history that was hidden for a long time.
We attempted the symbolic route of AI programming and it didn’t work because it is explosive in computation time and exhaustive to model in code.

We can’t program our AI “models” now because they are based on chains of probabilities. Therefore they can run in real time. They don’t have any real logic that we specifically programmed, only what the model was able to infer and then encode.

Perhaps there should be a marriage between these two attempts of AI.
As long as tech workers can credibly threaten to quit I think that’s easier than unionizing. Unions are great when you have a single big employer (a monopsony) like the public sector or a dominant single company, like a factory in a small town. Then the “monopoly” of the union is matched to the monopsony of the single employer. But there are still many tech companies competing for skilled workers. As long as we can say we quit if they force us back to the office I don’t see the need to unionize.
OpenAI: Small Teams, Big Impact
> German-speaking Swiss share their written language with Germans ... but they are perfectly capable of talking in a way that is 100% indecipherable for Germans

You are talking there of a proper language on one side, and a bunch of non-codified dialects who never got any written form.
Given their current pace, Intel isn't catching but falling behind instead. This has been going on for quite a long time now to be honest.
Question is, would they be alive by choice, and would they want to continue being alive?
This is the only comment that seems to get at what I was talking about. I'm just saying that software is prone to error, it shouldn't be used for critical internal components in vehicles.
> a. Don’t quit your day-job until the side-project makes atleast two times your current comp.

This advice doesn't really apply if you work in FAANG. You generally give up the ownership of any IP you create while under their employment, at least in my experience.
The Helvetica Scenario is another sign of the apocalypse.
1% is just an estimation. And it seems not a very good one[1]. And overall, the question is whether it will remain as it is now, or whether it will change with society and science for better or worse. Like always, we know far too little on this domain.

[1] https://en.wikipedia.org/wiki/Detransition#Occurrence
This answer is completely nonsensical. I wonder if it's a satire, especially the last line? I have never once met an employer who grilled me on gaps in my resume and if the question did come up, most were positively surprised that I took a jab at something risky and came out better in the process. In the industry where starting up is so commonplace, I have hard time believing even a corporate company weighing it too much against a candidate.
The t can also disappear. I've heard people say "twenny" instead of "twenty". Perhaps because "twendy" sounds more like Elmer Fudd giving Bugs Bunny decoration advice.
I deleted it immediately because it did jump to a conclusion that wasn't there and I recognized it and corrected it. But regardless, the rest stands true. The most political it got during election was "please pray for our elected officials to guide us". Which is completely fair.
Visualizing the American Workforce as 100 People
So Apple wont be buying the Arizona chips since they’ll always be behind. Was Tim Cook saying all those big words in the fab opening ceremony just for show?
So what? Put them on puberty blockers, these have been used and proven safe for decades to treat precocious puberty. If they figure out they're not transgender after all, natural puberty resumes on its own.

Barely anyone recommends or wants actual operations for people below 18 outside of severely suicidal scenarios - and after that... well, as long as you can pursue boob jobs, splitting your tongue or sign up to be maimed and disfigured in some far-away battlefield for the army, why should it be forbidden to transition one's genitalia?!
Ask your employer to work Part-Time (e.g. 3 or 4d/w).

That will free a lot of time to prototype and experiment with your SaaS, while keeping a stable income stream. You'll basically an infinite runway to launch your product.

CV-wise, that's even better as the experience you'll get on your side-business (product dev, project management, new techs ...) will add up nicely to your regular job's. There will be no empty line on your CV.

I've been doing this for 4y, taking free time, learning new techs and and trying to launch various SaaS, and my CV would never been as great if I kept working full-time. I'm also significantly happier.
What we do is have the team come in the HQ city once every 6 months for a week and have lunches and whatnot.
London to Sydney in two hours (via space)
I like the show release notes and other things. I would recommend to check which each option does before copy&pasting. I guess that is always a good advice anyway.
One of the hallmarks of being a hacker is a Democratic spirit. The ethos that we’re forever vigilant and deeply skeptical of structural power.

Apple has too much power, no for profit company or person can responsibly wield with that much power.
VICE seemed to make sense at a given time + place + context:
* Gonzo journalism: "On my way to North Korea I'm gonna stop by my auntie where over lunch she'd beg me not to go"
* Peak hipster: pre-pandemic hyper-urbanised young white collar people who started making money
* Excitement about Web 2.0 weirdness and the over-sharing culture

all of the above created a compelling package back then, but don't seem to scale to a "global media empire" Shane Smith wanted to make, one that would topple the incumbents.
Guy Hands: ‘I thought Brexit was frankly nuts’ – The New European
But not profitable enough to avoid bankruptcy?
I used to watch a lot of Danger Mouse back when it aired on Nickelodeon. To this day when I do a fake British accent, unless I'm imitating someone in particular I sound a bit like Sir David Jason.
Seems better than an alternative: where the ones with a voice are those who created the most-effective bot network.

I don't feel like I have much of voice when I submit one comment to my legislators, and a kid from California submits 10 million (as mentioned in this case).
I agree with you that "AI safety" (let's call it bickering) and "alignment" should be separate. But I can't stomach the thought experiments. First of all, it takes a human being to guide these models, to host (or pay for the hosting) and instantiate them. They're not autonomous. They won't be autonomous. The human being behind them is responsible.

As far as the idea of "hacking some funny Internet money, using it to mail-order some synthesized proteins from a few biotech labs, delivered to a poor schmuck who it'll pay for mixing together the contents of the random vials that came in the mail... bootstrapping a multi-step process that ends up with generic nanotech under control of the AI.":

Language models, let's use GPT-4, can't even use a web browser without tripping over itself. My web browser setup, which I've modified to use the chrome visual assistance over the debug bridge now, if you so much as increase the pixels of the viewport by 100 or so, the model is utterly perplexed because it's lost its context. Arguably, that's an argument from context, which is slowly being made irrelevant with even local LLMs (https://www.mosaicml.com/blog/mpt-7b). It has no understanding, it'll use an "example@email.com" to try and login to websites, because it believes that this is its email address. It has no understanding that it needs to go register for email. Prompting it with some email access and telling it about its email address just papers over the fact that the model has no real understanding across general tasks. There may be some nuggets of understanding in there that it has gleaned for specific task from the corpus, but AGI is a laughable concern. These are trained to minimize loss on a dataset and produce plausible outputs. It's the Chinese room, for real.

It still remains that these are just text predictions, and you need a human to guide them towards that. There's not going to be autonomous machiavellian rogue AIs running amok, let alone language models. There's always a human being behind that.

As far as multi-modal models and such, I'm not sure, but I do know for sure that these language models don't have general understanding, as much as Microsoft and OpenAI and such would like them to. The real harm will be deploying these to users when they can't solve the prompt injection problem. The prompt injection thread here a few days ago was filled with a sad state of "engineers", probably those who've deployed this crap in their applications, just outright ignoring the problem or just saying it can be solved with "delimiters".

AI "safety" companies springing up who can't even stop the LLM from divulging a password it was supposed to guard. I broke the last level in that game with like six characters and a question mark. That's the real harm. That, and the use of machine learning in the real world for surveillance and prosecution and other harms. Not science fiction stories.
Paraphrasing Pournelle's Iron Law of Bureaucracy[a]: Initially, the hedge fund was formed and run by people devoted to the goals of the church, such as dedicated missionaries. Over time, the hedge fund has been taken over by managers devoted to the goals of the hedge fund itself.

University endowments are hedge funds too -- they have universities instead of churches attached to them.

[a] https://www.jerrypournelle.com/reports/jerryp/iron.html
That's incredibly smart, when world powers rely on you to deliver cutting edge hardware either directly or by proxy, you can bet they'll also have a word or two to say about any plans China might have.
> 2 sexes, male and female. Simple and true. It does not add to it by interjecting about intersex .

The thing is, you always have to choose one of "simple" or "true".

It turns out that mammals which use the "XY" chromosomal system can all have the same type of exceptions to the simple rule. This can result in hermaphroditic or intersex animals. It is relatively rare in dogs, but is sufficiently common in cows that there's a word for it: an intersex cow is known as a "freemartin".

Now, why does this matter? Both for this discussion and the purposes of liability limitation of AI answers?

The short answer is that we tend deal with the inconvenience of exceptions in animals by euthanizing them. So you don't see them around. Just as you see far, far more hens than roosters. When you do this to humans, people complain. (Traditionally, many intersex people were given nonconsensual genital surgery as babies, so they may not know they're intersex. And some chromosomal variations like chimeraism don't show up at all.)

What people are scared of is the Procrustes AI; produce simple categories then chop bits off people until they fit neatly into one of the two categories.

(This applies to other, less heated categories: for example, an AI will probably answer the question "are peanuts edible?" with something that rounds to "yes, if you take them out of the shell". But that's not true for _everybody_, because there are some people for whom eating a peanut will be fatal. Not many, but some. And yes, it's annoying that you have to make an exception when you encounter someone who doesn't fit your nice clean categories, but all you have to do is not give them a peanut.)
I eagerly await EQL.
Sometimes there is a reason to mix, when the word in one language doesn't quite match the meaning you want, but in another it does. Like, for example, in Polish "security" and "safety" are the same word ("bezpieczeństwo"), so it would become weird when you're talking about the difference between them.

But I feel like this article is about something else. We don't think in terms of words, we think in terms of phrases, and when we remember those phrases it's not just their literal meaning, but also the context, and this can include the accent they were heard in.

In the ideal world we'd just play the sample that we have in the head, but we don't have that yet.