skysight-inc/HackerNews huggingface dataset:
Totally guessing here but this would be a property that gradually appears as the model size increases.

With a tiny model you would get gibberish and with ever increasing models the response would increasingly approach a coherent answer to a finally correct answer.
i don't know. i am pretty sure if that happens the customer is able to complain and get it fixed.

what you are saying sounds like that if you don't pay attention in advance or you trust your insurance company you loose out.

that should not happen.
It gives software developers 9 years to receive feedback from early adopters, and fix things if they want to stay relevant. There’s not much point to installing a new server if there’s no software for it.
>Certificate pinning makes declaring an incident where you’ve had your private key stolen effectively impossible.

Is this an issue? If the certificate you pinned corresponds to a key on a HSM, what are the chances it's going to get stolen?
Indeed it doesn't mean that, you are right. We share so many genes, so loosely speaking, we are their descendants. Which we are not, but for all practical purposes, we can approximately find correlations between our species, and that one, better than any other.
Add here language learning. Arguably, it's the best fit application for large language models.
>Before that point, it sounds like some kind of mkultra style conspiracy where they are actively malicious.

The CIA MKULTRA program was a fact, not a conspiracy. Evidence of this program was discovered when the CIA inadvertently failed to illegally destroy documentation detailing the program. The known fallout from this program includes the Unabomber.

https://www.npr.org/2019/09/09/758989641/the-cias-secret-que...

The entire history of the CIA is actively malicious. "Their job" is to lie, murder, kidnap, torture and otherwise manipulate every nation on the planet (including our own) in order to maintain their own power and US global hegemony. Anyone who doubts this should look into MKULTRA, Operation Northwoods, Operation Chaos, Operation Mockingbird, The Phoenix Program, Operation Paperclip - and these are just some of the CIA activities we know about.
It's entirely normal for users not to like change less yet when the benefits are nebulous even if justifiable and accrue to the developers while the users bear costs in terms of decreased stability, increased complexity, and fewer features.
There's also that funny historical anecdote that Saddam Hussein was literally a CIA assassin for a while... though later him easily taking power because he happened to try a coup just after a CIA-backed one seems to have been just a coincidence ?
While we're at it:

* Taichi "is embedded in Python and uses modern just-in-time (JIT) frameworks (for example LLVM, SPIR-V) to offload the Python source code to native GPU or CPU instructions, offering the performance at both development time and runtime."

https://www.taichi-lang.org/
I think a Smalltalk-based version of the NeXT computer would've killed it as an internet device. With the Unix base and C compiler, NeXT users could join Usenet et al. when the device was introduced with a few downloads and make invocations (after the initial diehards did the grunt work of porting).
ML folks definitely load their systems up with GPUs. Having gobs of slots makes complete sense. It's not SLI, that doesn't seem to be happening at the moment, but scaling out pretty great!

But all the companies making PCIe switches have gotten bought out & consolidated & now making a high-PCIe-slot motherboard costs absurd bazonga-bucks. The market has priced itself out of reasonability.
You'd like https://www.notationcentral.com/product/musglyphs/
Thanks for sharing this. When I saw the link, I wanted to see if there was something similar for Mandarin. Looking at the PDF sample I don't see anything around how to pronounce the characters, i.e. there's nothing along the top or bottom that looks like pinyin with tonal markers. Am I missing something?
It's not just that but also because there is no complete understanding of physics or biology such that we could make use of to predict the behavior of human beings. You need additional fields like psychology, economics, politics and sociology. It's not even clear that we could make sense of human behavior at those levels.
There's lots of little things I think. Like I have my trackball scroll by holding down middle click and moving the ball. Not too hard to do in X11, works in all window managers too. I have no idea how to do it Wayland, it seems like it's a different process for every compositor/DE. I think maybe I could do it in GNOME but then I'd have to use GNOME.

So far the only positive thing I've noticed about Wayland is that it plays better with my pen tablet but that's also extremely frustrating because why is better pen support linked to the compositor/window manager in the first place. Everything else is either the same or worse.
Just tried that example in Bard and it got it right, and I believe that it's a 24b parameter model.
Fuck that. If we are going to become obsolete by AI trained on our backs, we should accept nothing less than full blown communism. Not this feudal shit with some scraps so we the serfs don't rebel.
I remember people complaining about how slow the magneto-optical drive was.

By the time they ditched the MO-drive as the default, NeXT already had a bad taste in people's mouths, esp. at the introductory price of US$6.5K.
Maybe not quite ChatGPT 2023 but it looks like from here it's just a matter of refinement. Someone may always create a better toothpaste, but I don't expect to ever really be surprised and impressed by a new toothpaste. ChatGPT is in the same place as a translator.
This article is worth reading. The ideas are good, and the writing is clear. As in:

An error of omission occurs when an individual or organization fails to do something it should have done. For example, when Kodak failed to acquire Xerox when it could have, or when Xerox failed to develop the small computer produced by its employees. Of the two types of error, errors of omission are usually the more important. The deterioration and failure of organizations are almost always due to something they did not do.

...

Now for a key fact: Accounting systems in the Western world only take account of errors of commission, the less important of the two types of error. They take no account of errors of omission. Therefore, in an organization that frowns on mistakes and in which only errors of commission are identified, a manager only has to be concerned about doing something that should not have been done. Because errors of omission are not recorded, they often go unacknowledged. If acknowledged, accountability for them is seldom made explicit. In such a situation, a manager who wants to invoke as little disapproval as possible must try either to minimize errors of commission or transfer to others responsibility for those he or she makes.

And also this: Learning how to learn is probably the most important thing an organization or individual can learn.
that’s not what apple does but what steve jobs did. so don’t count on it
No one is whining; we're talking about companies degrading their service while prices are trending ever upwards. If you love the current situation you're free to go read another article or join in another HN discussion. This one is about the increase in useless fees and removal of previously-standard services.
The discussion evolved beyond the article.
Is that true for personal internet connections, or just corporate ones? I've never felt any kind of big restrictions on what kind of traffic I send from my home connection.
But his theory, for all its appearance of objectivity, is the rationalisation of a wish. There is no strong reason for thinking that it tells us anything about the future, except perhaps the immediate future. It merely tells us what kind of world the ‘managerial’ class themselves, or at least the more conscious and ambitious members of the class, would like to live in.

And, of course, a theme of this essay is that these predictions did not in fact come true when Burnham predicted them, and did not generally prove out over the next 20-30 years. We could debate what happened in the 80s, but the context is so different that Burnham might not have much to say about it.
Thanks I have never used react and this comment was very helpful, even after reading the project readme.
I'm disappointed to not find https://en.wikipedia.org/wiki/Anasyrma on the list.
Transformers originally were made for language translation. So the way I think about it, GPT models translate questions to answers. Hence the hallucinations - some questions can't be answered by just associative reasoning and pattern matching.
This has been slowly running around in my head since this morning, and I'm more and more impressed.

> Skulltrail was one of the first platforms to support SLI on chipsets not designed by Nvidia. It achieves this by including two NVIDIA nForce 100 PCIe 1.1 switch (two x16 to one x16) chips. The implementation of SLI supports Quad SLI technology, which is achieved through the use of two dual-GPU graphics cards from NVIDIA, including the GeForce 9800 GX2. This gives a total of four graphics processors.

Nvidia specifically (via licensing) forbid SLI unless GPUs were connected to a Nvidia chip[1]. So Intel just bought two Nvidia PCIe switches & put all the big x16 slots behind these switches, and the GPU processors would happily run in SLI. It's basically a cheezy hardware hack to on the sly subvert a shitty fascist meanspirited company, that was playing gross monopolistic anti-PC market games. Fuck Nvidia man! Fuck yeah Intel, fuck these jackasses!

Skulltrail indeed! A great historical case of Nvidia being absolute shits, and finally someone actually having a one up on jerk-ish behavior! Go Intel!

[1] LTT, https://www.youtube.com/watch?v=wNo7qoLRtkQ#t=7m
What LLMs can’t do, but would be exceedingly useful, is have taste… For example, tell me what comments in HN are good, or websites are worth reading.
This is extremely ballsy by RHEL so you know what, I am in support of it.

Will it work? Idk their client base. But its cool they're trying it.
Which cities did you travel between? I don't travel to EU much, but I could imagine that flying between London and NYC might be the same amount of travel time as NYC-SF.

That said, we all expect more of international flights, and this is a really disappointing data point to learn of.
Well, part of what props up the “oligarchy” is copyright law.

I think if you want to change the outcomes of the system, we should adjust the laws and incentives underlying the system.
No, not fully. ChatGPT and Google Translate/DeepL are about equal. This is for a couple reasons: machine translations are very good these days, and ChatGPT struggles with domain specific translations (whereas these commercial products have incentive to improve within).

It's marginally better at sounding natural with translations though. "In fact, the frequent use of soap is bad for the skin." (chatgpt) vs "In fact, using soap too often is bad for your skin." (google)[1]

[1] https://arxiv.org/abs/2301.08745
NNTP was always a firehose. In 1988 it was more traffic than the large company I worked for at the time could afford to carry on their upstream connection. The design where all content was replicated everywhere was just wrong for an always connected network. It dated back to UUCP days and intermittent p2p networking.
The solar charging is for Watch functions. The heart rate monitor still requires USB charging to work.
The Quest for Longevity Is Already Over
No, there're error events[1] which can be handled with a little bit of client-side scripting.

[1]: https://htmx.org/events/#htmx:timeout
Can this be done by API?
I've never experienced this in decades of slumming it in coach back and forth across the Atlantic. Pretty much the minimum flight time from NA->Europe is 6+ hours.

Have you actually checked the price differential between coach and first class? It's like two orders of magnitude. Might be better off stopping at Mickey Dees at JFK before boarding.
>OpenAI hasn’t told us why ChatGPT is so much better than other models

Here's the thing.... It's not. Unless you restrict the pool to models you know about.

https://crfm.stanford.edu/helm/latest/?group=core_scenarios

And Again, chatGPT was not the general SOTA LLM. https://arxiv.org/abs/2210.11416

So in the research world with detailed papers explaining what and what not, we had models that were better.
Yeah it's to the point where in many cases you're better off not even bothering with a primary care doctor.

The quality of care is no worse at urgent care and you can typically make a same day appointment with the doctor if your choice. Yes they rush you through but so does primary care. Maybe in the past it was different.

Downside is that it may carry a higher deductible (for no good reason).
When I was a little kid, I loved scifi with sentient robots or computers. One day, I asked my dad (a high school teacher), what would a computer do if you ordered it to fly?

He guessed it would reject the order because it was impossible. I asked him what would happen if someone programmed the computer to believe it could fly? We've only seen the word in TV, it was the mid 70s, but he correctly guessed that it would behave like it was flying. I thought it was sensible and didn't ask more questions.

This little interaction has stayed with me for fifty years, and it has become surprisingly more accurate the more computing advances.
It's not that it can't do that, it's just that they trained it not to. You could bypass this by using a model without RLHF training or asking it to say how a human might be surprised by it. Well it will make something up rather than actually knowing what it found surprising but it will be a plausible answer at least
Sort of. Inflation doesn’t factor in how many people die shivering in the street for failure to pay. So neither does my analysis, especially as some people do run out of money and grace period.

Let me say this in simpler terms: many of the people paying unwillfully to support these profits would already be dead from starving and shivering in the streets without the massive monetary expansion and shifts in speculation.
I've been out of touch for a while now in the CMS field; is Wordpress considered the default CRM in 2023?
I’m wondering how this stands up against Garmin’s MIPS display fitness watch. I love GShock design, but Garmin seems to be winning the fitness enthusiast market. This Gshock watch is a collaboration with Polar.
Good to see progress in Desktop Linux.

Next, if someone fixed font / display scaling in X for high DPI (24" 4k monitor) displays, it would allow more people to use Desktop linux.
That seems to be the case. But on hardware it works it’s awesome.
I mean they have to live with the dissonance within their soul at the end of the day. Which I think Socrates was getting at with regards to how it can end up teaching what is actually in their best interests.
Can ChatGPT Make a Delicious Cocktail? [video]
git blame is expensive, especially at scale, on big repos, but the thing to understand is the exact hash something was commmitted at isn't important for time-based indexing. What's wanted is when, ± a few days, something was committed at, which makes for a much cheaper query. (How merges are dealt with might also be material)

Barring that though, the equivalent of a post-commit git hook that updates the DB with 'when this blob was added to this branch' and then run a backfill-enough job.

The easy answer, though, would seem to be keep a copy of last week's index, and run the query twice and figure out a way to efficiently compare results to figure out if something is this week's but not last weeks index.

Also of note, "when was this blob added to this branch" isn't even actually the same as git blame, which means that if a file was touched that matched the search but the latest change to the file doesn't affect the matching line of code, it'd show up as recent, which is not what the user wants.
When I would have had to add another 2 batches of ~150,000 tokens.....
But he did. Maybe. (Bandar) "Bush". :p
I used to share your gut feeling that this is stupid, but I’ve done a lot of calculations on this now and it (dynamic charging, not necessarily inductive) starts making a lot of economic sense on major roads when most traffic is electric. The technology has very high base cost and very low marginal cost per additional user. The cost of stationary charging scales fairly linearly with the number of users, with surprisingly minimal scale benefits.

Pros of dynamic charging:

- Substantially reduced need for large batteries, which reduces vehicle cost and contributes to overall lower cost of electric road transportation;

- Easier logistics planning, no queuing for charging, and reduced downtime for commercial vehicles;

- Cost of public daytime charging on par with private night-time stationary charging;

- Same access to charging for all, at the same time, at the same cost;

- Well adapted to high vehicle utilization (e.g., 24h operation, autonomous trucks and car sharing services);

- Greatly reduced need for high power fast charging, which wears out batteries;

- Greatly reduced need to build out infrastructure for stationary charging, which is not easy to do quickly and at scale;

- Potentially easier to connect to the power grid than static charging of equivalent capacity.

Challenges to overcome include:

- The transition phase from zero to many users;

- The transition phase from zero miles to coverage of most major highways;

- Electromagnetic emissions;

- Not in line with how the public and industry perceives that electric cars and trucks should work;

- Initial funding (requires public sector support, but not subsidies);

- Primarily benefits vehicle owners and transport buyers, not vehicle manufacturers and energy companies.

- Unclear if dynamic charging is cheaper beyond ~2045, due to declining levelized battery costs.

As for the argument that it is better to electrify rail - both should be electrified. Europe and Asia wonder why North America hasn’t electrified its rail network already.
The chance of a corporation mismanaging & accidentally letting their key get leaked is not a technical problem, like you pose. The HSM is fine. No one's going to crack your encryption.

But omgosh the Conways law implications of securing your nuclear waste, oops, i mean your hsm, are incredibly complex & long lived challenges. The odds of any given company accidentally messing up some month or another are quite high. If you have certificate pinning, you literally cannot escape your own mistakes. The ability to respond to mistakes should probably be taken as a necessary for most security footings of most organizations, and the whole point of certificate pinning is that response is impossible, that a cert is pinned in.
Hey :wave:, I've been on HN for ages too and have seen you here forever. You're not the only one that's observed this behavior. A lot of us know it. The HN crowd thinks monetization is this gross, evil thing but also thinks the quality of content is in decline and only caters to the lowbrow. As you say, good writing from good writers (really good content from good creators) needs time, stability, and the safety to explore ideas. All of this requires money.

This crowd likes to point out that the early web had this kind of content, but they forget that the early web was composed mostly of perspectives from folks who had those luxuries and honestly had been only writing for a few years on the web. I remember trying in vain to find anything about the rap scene which was huge in my low-income area and in a lot of low-income America at the time but the truth was, none of the rappers who ended up making it in the mid-90s ever were situated in a way that would make it easy for them to use the Web to put their content out there. That's why everyone on the Web at the time was into heavy metal even though rap was flourishing in the US. The demographic that used the Web wore khakis at work and listened to metal at home.

I've (and my friends) just learned to ignore this content. It's a yearning for a more country club like internet. The neighborhood was a lot quainter when only the golfers with their luxury cars lived here. Now the riff raff wants to bike or drive their Mustangs and it's all lowest common denominator drivel.
djb's auth here is an implementation of rfc931.

https://sources.vsta.org/comp.sources.unix/volume22/
Its not just parameters

There are teams looking at better reduced parameters
Thanks! Macroexpanded:

Are emergent abilities of large language models a mirage? - https://news.ycombinator.com/item?id=35768824 - May 2023 (126 comments)
Maybe use unique tokens in your license: then you can try and see if the model has been trained on your tokens.

See the code completion of the FFmpeg GPL license text in the first video: https://codeium.com/blog/copilot-trains-on-gpl-codeium-does-...
The test failed.

Ok.... why?
Just dealing with numbers and numeric comparisons is a big improvement with model size. Symbols are not a great encoding of numbers and models have struggled with math.

ChatGPT3.5 handles that just fine.

I do like the big improvement from ChatGPT3.5 to ChatGPT4 on answers to questions like "Which is heavier, two pounds of bricks or one pound of feathers?" 3.5 is really inclined to say "They are both the same weight, as they both weigh one pound."
Is that $307 1974 dollars, or $307 today dollars?
This is overstating the issue. Wayland in 2019 was entirely unfit for purpose due to poor hardware support, inability to scale applications which required xwayland properly or at all, being near useless for gaming, and poor screen sharing support.

Possibly your grandma who only uses her laptop to browse facebook could have used it as long as you carefully ensured she didn't have unsupported hardware AND you felt like explaining one more technical detail that no average us should have to learn about to her.

It appears to be mostly acceptable as of just this year and only if you run quite up to date software.
Apparently Chat GPT got a 163 on the LSAT, but I can't get it to answer basic logic questions. E.g.

Prompt: If it rains today, I will drive home. I did not drive home. Did it rain today?

Output:

> If the statement "If it rains today, I will drive home" is true and you did not drive home, it does not necessarily mean that it did not rain today. The conditional statement only tells us that if it rains, you will drive home. It does not tell us what you will do if it does not rain.

> Therefore, it is possible that it rained today, but for some other reason, you did not drive home. Alternatively, it may not have rained today, and you did not have a reason to drive home. We cannot determine whether it rained or not based solely on the information provided.

Similarly, it can tell you what a converse is, but cannot give you the converse of a simple sentence:

> The converse of the sentence "If Anna goes to school today, she will eat lunch" is:

> "If Anna eats lunch, then she went to school today."

> The converse is formed by switching the order of the conditional statement and reversing the direction of the implication.

On the other hand, it's quite good at math. It can easily solve simple two-variable algebraic equations.
I was going to say that I do so largely by working for valley-based (or at least valley-competitive) companies, but seeing the "another way" list, I guess I am in a country that also routinely pays well.
Our species also engaged in cannibalism.

That isn't evidence that we killed the Neanderthals for food. Rather than, say, having added some ecosystem stress through competition that left them less able to handle a major volcano 40,000 years ago.
By Japanese standards, they are perfectly productive tax payers. Retirement is at least half a decade away. Hell if you are a Japanese politician, 75 is when your career truly takes off.
Still miss the Pebble. Seeing this makes me wonder if they would survive had they opted to being bought out by Timex