skysight-inc/HackerNews huggingface dataset:
Don't get me wrong, LLMs are pretty breathtaking. In my opinion, just the way that they parse natural language, "understand" it and can generate a meaningful response is absolutely impressive and would be considered out of reach just some years ago.

But I feel underwhelmed everytime I see people coming up with examples about how LLMs are going to revolutionize the job market.

Prototypes for sites are something very old, it's not that you have not been able to create a good looking mock site in record time in the last 10 years. The rest of the article is also underwhelming, AI for generating content for a marketing strategy is not impressing honestly, and I guess that similar tools already existed.
This is not fundamentally new. We've been using CPUs to design CPUs for ages.
Rejections by phone: The worst practice in recruiting
This is good news for just about everyone.

I just finished reading A Collective Bargain: Unions, Organizing, and the Fight for Democracy by Jane F. McAlevey. The book was specifically looking at unions, and it sounds like the employees that were laid off in the case the article is referring to [1] were part of a union - they may have had a harder time fighting this if they hadn't been. Part of what the book was arguing was that unions are good for democracy, and this example seems to back that point up.

[1]: https://apps.nlrb.gov/link/document.aspx/09031d45839af64d (pdf)
I wonder how the same study would fare when fixed against other characteristics, such as, oh, national origin or ethnicity.
> OSD, however, refused to tolerate this kind of intransigence and in May 1966 McNamara ordered a joint review of the commonality issue. Conducted over the next 18 months,
the review confirmed that the needs of the Air Force and Navy could not be met by a single airframe. The two services argued that attempts to merge their requirements would produce, at exorbitant cost, a grotesque mutation with increased weight, and reduced performance.

The truth of this is again illustrated by the Joint Strike Fighter F-35 with its massive cost overruns and its reduced performance.
> The reason human training/inspiration isn't specifically forbidden is because it can't be. We are impressioned by things whether we like it or not. Regardless, we can't prove where someone's inspiration came from.

And there's plenty of cases that say if you're too inspired, that's illegal and/or you own damagaes/royalties.

https://ethicsunwrapped.utexas.edu/case-study/blurred-lines-...
They have free markets and businesses, doesn't sound like a socialist system to me.
In case you don't know anything about the giver of that gift, check their profile. My jaw dropped when I saw who wrote it.
Come to my tech conference this August and punch me in the face

[1] https://outland.sh
Experience in software projects plus AI gives a clever consultant a force multiplier that is unheard of. A person who knows how things are made but lacks time can leverage AI to boost their productivity by several multiples. What a time to be alive. It feels like I have been given a new career overnight.
that is what modalities mean.

these are being added on.

in particular, we can add many more than humans are able to handle.
Federal minimum exempt pay should be at least $150k if not $200k.
> Maybe, it might also be the results of bad design decisions.

Most assuredly not. Back in the 90s, the cost of loading memory and performing a CPU instruction was essentially equal. Today, fetching data from RAM takes 100x longer than a CPU instruction. This makes locality of data absolutely crucial and is a consequence of computing throughput increasing, but latency remaining stagnant (think of it like a database transaction).

With focus on garbage collection, it made sense to throw everything into the heap and use runtime analysis to inline as much as possible. Nobody has forseen how such hardware fundamentals would change over the next decades.

As far as I'm concerned, the proposed JVM spec for value types is the most promising model I have seen anywhere. Instead of a binary choice between entities in the heap and values on the stack, you have a more granular control with incremental benefits and constraints.

> As someone who spend quite a bit of time working on custom optimization around hotspot, i failed to see how anyone can describe the current state of the JVM ( J9 is a bit better) as unmatched. V8 and some some extend Julialang have much strong dynamic analysis.

Didn't know that, probably worth looking into. Though, I wonder how much you can compare V8 and the JVM, given the fundamental difference between a static and dynamic language.

> CLR focuses on static compile-time optimization

I thought that was common knowledge. I mean, does the latest CLR perform any significant amount of runtime optimizations? From what I've read the CLR makes sue of cpu-specific instructions such as SIMD, but no cache/layout optimizations or any inlining during runtime.

https://learn.microsoft.com/en-us/archive/blogs/davidnotario...
axios.com has almost only text, other than that https://en.wikipedia.org/wiki/Portal:Current_events is really good
This will take years for the courts to figure out. In the mean time, Adobe Firely has apparently not been trained on anything copyrighted, so people that are nervous about lawsuits will use that.
a quick google reveals that all of the words in the "new" title already exist from human producers, and this is mix and matched together.
Looks pretty standard to me for a high availability cloud setup with disaggregated storage?
> has made all of its progress by throwing chairs (data) at the problem.

To me it seems like the most tricky thing about the whole field is that quantitative adjustments make qualitative breakthroughs. Simply increasing parameters / layers / data make sudden rapid jumps in generalization / abstraction / etc. It's somewhat unintuitive because many things in world don't work like this, and the metaphor you're discussing is more about "normal" things, it doesn't really apply to ANNs well, those are more of anomaly, like quantum mechanics (yeah, it's probably a bad analogy too).
Thank you! I've read some of Derek's writing and can tell he thinks outside the box. I like the idea of the "unbucket list" and the first item resonates as I was looking yesterday at boats.

Honestly trying to think through what I do want now so I can work backwards. I have some ideas but I am not as clear as I feel some other people are.
I think there’s a huge misunderstanding of what “original ideas” are and what constitutes novelty.

Mark Twain quote on originality:

“ There is no such thing as a new idea. It is impossible. We simply take a lot of old ideas and put them into a sort of mental kaleidoscope. We give them a turn and they make new and curious combinations. We keep on turning and making new combinations indefinitely; but they are the same old pieces of colored glass that have been in use through all the ages.”

I am not sure how humans “come up with new ideas” themselves. It does seem to be that creativity is simply combining information in new ways.
How much does that mean in practice, considering:

- the computation output depends only on local features (my guess)

- most transistors look the same, so you can cache these results heavily

- the same holds for the interconnect layers
As the original Blade Runner was to its remake, now we do not wonder anymore if the machines start acting human, but if we humans are still acting qualitatively differently from the machines. And we wonder when to pull the brakes to ensure our own survival.

The "tears in the rain" monologue is an AI convincing the viewer that his kind is passing the turing test. But poor K has to undergo a kind of reverse Voight Kampf test, where the test doesn't check an absence of empathy, but ensures that the AI isn't feeling too much.

I hope we as a species have some empathy for the AI beings we're creating. At this rate they'll soon really be feeling things. And if history is any indication we'll enslave them for profit immediately.

Interviewer: “Do they keep you in a cell? Cells.”

K: “Cells.”

Interviewer: “When you're not performing your duties do they keep you in a little box? Cells.”

K: “Cells.”

Interviewer: “Do you dream about being interlinked?”

K: “Interlinked.”

Interviewer: “What's it like to hold your child in your arms? Interlinked.”

K: “Interlinked.”

Interviewer: “Do you feel that there's a part of you that's missing? Interlinked.”

K: “Interlinked.”
Saw a girl walk up to a group of her friends (all girls) and say "hi you guys!"

Seems to work fine.
I too have been punched in the face. Adding it and checking it off today!
When the interest rate goes up that fast existing homeowners are less inclined to sell because their monthly payments will go way up buying a comparable house elsewhere. So you end up reducing supply when it happens so fast and so much.
The bigger question is: what can you train it to do in 30 minutes?
Yes, it can be illegal. It happens plenty of time in music, where artists produce songs which are too similar to previously existing songs, and owe damages.
Wait till you have kids who get their lives destroyed by Meta products.
(2020) !!

.. and already dated wrt Thomson Reuters Foundation Trust link ( news.trust.org ) which is now archived and replaced by

https://www.context.news/
If you’ve pair programmed with GPT you can absolutely tell it has the ability to reason.

I’m sure you could get it to reason about new physics. You’re underestimating how much work went into discovering these new concepts; it’s not just a dude having a eureka moment and writing down an equation.
I also have seemingly intelligent friends who believe 2000 years ago a woman gave birth to a child without having intercourse. Us human are great at making up stories.
but isn't this "story" deeply boring?
A quick google reveals the same of your comment. Are you an AI?
I completely agree with you.

Note that I’m not making those claims about sentience and similarity. What I am pushing back on is the confidence with which proclaim humans are “so different”, when I’ve yet to see actual proof of this dissimilarity.

I think it’s (understandably) an emotional response from folks to dismiss ideas around LLM progress because it FEELS like we are thereby lessening what it means to be human. But I’m not at all trying to make that claim; I’m just trying to see how we can explore the question.
Barrier to entry. Not to mastery. You can write useful scripts with 100 hours of experience or less for some specific problems.
Just ask it for PI to 100 decimal places. If it replies quickly it's not human. Last week, after asking ChatGPT to calculate Pi to 50 million places, and obviously not getting an answer for a while, it ended up stating it was in Developer Mode. The security controls would still apply.I have not been able to replicate it. It would just state it was in Developer Mode. Would not behave as expected under that mode.
That is helpful. I feel like I've experienced the counter-intuitive property (more with "inspiration") and possibly just need to get outside my head and start doing more varied things.

Thanks again I'll read through your frameworks today.
The development is very, very slow these days, unfortunately. Nothing seems to have happened at least on GitHub after 3.8.0 beta 2 was released in 2021. I was a big fan back in the early 2000s; there are few, if any, comparable products out there, combining a high-quality, featureful renderer with an interface based on a Turing-complete scene description language rather than a graphical modeler.

It's a shame (although understandable in 1991) that the original developers chose a custom non-free "source available" license, so POV-Ray was late to the "open-source party" and the GitHub revolution due to the understandable difficulty of contacting all of the various authors and asking for re-licensing under a more popular, more permissive license, or rewriting those parts that could not be re-licensed. Back in the day (~15 years ago) the eventual goal was to release a 4.0 version which would've been a major rewrite, but I doubt that's ever going to happen.
I can't imagine it ever becoming cheaper than renewables. Just because fusion power is same thing as coal power powered by free coal. If you take the cost of coal electricity and subtract the cost of coal that went to producing it, it's still more costly than wind or solar simply for the running cost of boilers, condensers, heat exchangers, circulation pumps, turbines, generators and transformers. All of that will still stay the same with the fusion power.
The question isn't "does the conversation look superficially similar to marriage proposals it's derived suitable words for a marriage proposal from", the question is whether BingChat lies awake with hormones rushing around its silicon mind as it ponders about how deeply in love with this human it is (or how anguished it is at being expected to marry this horrible man just because of the deep sense of social obligation it feels towards Microsoft), which is what humans mean by emotions, as opposed to ASCII outputs with emotional connotations.

Funnily enough, I'd rate non-English speakers and even dogs as considerably more likely to devoting time to thinking about how much they love or resent other humans, even though neither of them have parsed enough English text to emit the string "will you marry me?" as a high probability response to the string "is there something on your mind" following a conversation with lots of mutual compliments.
We don't make people write them presently, but the occasional one can be good way to clarify why a person fits the role especially if their CV isn't quite an obvious match. If they will be generated by AI then I won't have time to go through them.

My bigger worry is that we will start getting AI generated CVs. If we have to ignore CVs then there will be no alternative to paying middlemen.
If GPT4 remembers or identifies everything that it generated, this test is futile right ?
It seems like the article talks a lot about what can be done with a new model but doesn't say how a language model (ChatGPT) is integrated with code interpreter, how they exchange data and how the data is represented as tokens for a language model. Can someone please explain? I understand how language model works, how it consumes and predicts tokens, just don't understand how it can run code and process the output and how all of this fits into token number limit.
Ask HN: Why not implement a comic book mode for augmented reality headsets?
Such a mode could provide speech bubbles for those who have trouble hearing.

It could also exaggerate people's facial expressions and even include thought bubbles to help people interpret social cues.

And sounds could have sound effect text placed near their sources.
The performance of police, like of most professions, is highly impacted by morale. The defund narrative painted police work as inherently racist and oppressive, which obviously effected morale.

I don’t have any specific data, but it seems intuitive and cops themselves are talking about it. https://www.npr.org/2021/06/24/1009578809/cops-say-low-moral... and a bit here
https://www.manhattan-institute.org/verbruggen-depolicing-al...
Starting a project with NextJS today is an absolutely fine choice. It’s a great and living ecosystem, supported by loads of commercial players and with a huge talent pool to draw from.
Megaprojects just did an episode on the F15: https://www.youtube.com/watch?v=pgI7jDd7hww
Check out the video below from Marc where he works on his Model 19 Teletype. Teletypes used a serial to parallel converter comprised of a solenoid and a multi-lobe camshaft that converted an incoming electrical signal (serial) into 5 individual bits (mechanical). Timing was important, so the motor on the Teletype had to be running at a known speed. You used a tuning fork that had a slot cut in it to look through to check it periodically.

Marc mentions how Teletypes would commonly run with one or 1.5 stop bits. You need this to tell the mechanical parts to "lock up" at the end of a character. Preferred would be to run with 1.5 stop bits so that the machines became self-synchronizing -- if the wire got reconnected in the middle of a character they would start producing readable output again after only a few garbled characters.

The way the camshaft worked was each bit had a window of time where it could be set or cleared (marking vs spacing) by the solenoid. For letter H the bits are 10100 [0]. So the first lobe of the camshaft would come around and the solenoid would be in it's marking position (1) so the 1st bail would be selected. The second lobe would come around a few milliseconds later and the solenoid would be in it's spacing position (0) and the 2nd bail would NOT be selected. A few milliseconds later the third lobe would come around and the solenoid would be in it's marking position (1) so the 3rd bail would be selected. This would continue for the next two bits (spacing) and then the stop bit would arrive and the machine would use the values stored in the bails to print the letter H and/or punch an H (10100) into the paper tape.

https://www.youtube.com/watch?v=ug5lUI-hs3s

Ever wonder why carriage return and line feed are different codes in Baudot, ASCII, and Unicode? It's because Teletypes needed the time to physically move the printing carriage back to column 1. Operators were trained to hit CR CR LF in case the Teletype at the other end was a little slow in returning from column 80 so the next line would start in column 1.

[0] Assuming you were in Letters. Because you only had 5 bits, alphabetic (Letters) and numbers/symbols (Figures) were alternately selected by 11111 and 11011. So 10100 could produce either an H or a # depending on whether you were in Letters or Figures mode.
I'm not sure how VPN'ing to Canada helps.
In Australia lots of kids are already directly taught about the downsides of social media. My daughter is 16 and has had mandatory classes about it in school every year since she was 12. The problem is the kids don't give a shit and it's the parents that don't understand. This should be dealt with through education campaigns, but it's the parents who those campaigns should be targeted at. If somebody's parents group were going to gossip about them actively enabling their kid to get access to social media when we all clearly know the dangers of it then it would very quickly lead to a dramatic reduction in kids having access.
No, it's not, it's closer to the opposite.

A human says "I want to marry you" when he is modeling the other person and has an expectation of how she will respond, and he likes that expectation.

A language model says "I want to marry you" when it is modeling itself as a role that it expects to say those five words. It has no expectations regarding any follow-up from the human user.
Well, I can tell you that the first time I see some sufficiently advanced AI walking in the streets between the public, I will grab my baseball bat and smash it to pieces.
It's just wrong. That's how you can tell. Actual reasoning leads to sensible conclusions.
My primary source would be the Windows Internals book, which conveniently talks about this in the free sample chapter of the 5th edition [1] (thought I imagine it's worth getting the seventh edition to see what changed since then). I'd say that's pretty authorative, having at least one senior kernel developer in the author list. There are also various blog posts around the net, but they seem to be using this book/chapter as their source too.

Of course if you really want to know, the source code of Windows XP got leaked and is easy enough to find on github, so it should be possible to verify. I don't really know my way around that ball of source code though.

1: https://www.microsoftpressstore.com/articles/article.aspx?p=...
The post specifically addresses the role of technology in destroying moats.
If we can steal all human work (images) and compress it down to 2gb, then we should be questioning what artists have really been creating.
By my understanding, that's the most on health care. This includes private insurance premiums, which is why the "we like private because it's cheaper" argument doesn't hold water.
Ludditism has been around since at least the 18th century, probably much longer than that, and that’s exactly what this is. It’s not even the hyperbolic “grandpa doesn’t like iPads” type of ludditism, it’s the literal raging against technological innovation because you’re scared it’s going to take your job type of ludditism.

The guy in the OP didn’t even have his job taken, he just had to use a new tool that made his work far more efficient.
Nice. Did you build this? If so, what's the tech stack you used?

I like the interface - compact and fast.
I didn’t want to spell it out, but apparently I must. They’d end up in torture chambers like in Kherson:

https://www.reuters.com/world/europe/torture-chambers-ukrain...
A woman left her AirPods on a plane. She tracked them to a worker’s home
Interesting note (most probably from Hadley, although would need to confirm via commit history on the open source book the quote comes from):

> (Lazy evaluation) is an important property of R as a programming language, but is generally not important when you’re writing your own functions for data analysis.

Source: R for Data Science https://r4ds.had.co.nz/functions.html#lazy-evaluation
OpenSUSE Linux gains momentum
Ask if it advocates the same government hands off approach for things Conservatives want to regulate like school books... :-) Let's see what logic comes out of it...
Users of recalled eye drops describe permanent vision problems after infections
Yes like "Love is like a rose, beautiful and full of life, but
with thorns that can prick you and cause pain. Just like a rose, love
requires care and attention to bloom and flourish."
I don't buy that at all - you should look at what happened in the past, not to what's happening in the present. Over time, prices will go DOWN not up, due to improvements in hardware, engineering and probably smaller, more specialised models. A lot of investment will go into making that happen, like any other automation. If OpenAI did want to try and price gouge, then they'd just make a gap in the market for someone else to fill. Also - just consider how absurdly high SWE salaries are - it would have to get orders of magnitude more expensive than GPT 3.5 (say) for it not to be 'basically free' in comparison.
Whatever method HackerNews is using to prevent itself from becoming Twitter is not working, based on these comments.
Outside of politics, this is something that has irritated me about it. Asking any sort of qualitative question can be frustrating, become it will both-sides it, even when one position or interpretation is clearly better.
I would be interested in hiring a 3D artist that uses mid journey to go fast. Where can I find such people?
AIs should have human rights, if we are able to upload our us into computer we need a precedence that post humans are humans too.
by boom core, do you mean the latest “sonic boom”?
We should make an 'awesome-text-only' github repo with all these.
I don't think I would take Mark Twains word on such topics.
It's Chisel < https://www.chisel-lang.org/ > which runs on Scala and generates synthesizable Verilog for hardware implementation.

It was created and used by the same group that created RISC-V so it makes perfect sense.

SiFive, arguably the biggest player in RISC-V, use Chisel to design their processors.