skysight-inc/HackerNews huggingface dataset:
You are being too literal here. Firstly, there's a large number of software devs that would do just fine in finance. A common refrain is that many of those who would have gone into finance over the past decade or two want into tech instead. Secondly, there's many other fields people could go into. People follow the money. They adapt their skills to those fields. This idea that "well devs will just work for peanuts" is absurd. Intelligent and talented people will just go elsewhere if the field is no longer a source of high incomes.

Of course I expect it will continue to provide high incomes for quite some time. There are few things I can think of that wouldn't be improved by software, and as long as that holds true it means there's more demand for software.
If I read this correctly, 32-bit application code (ring 3) would remain mostly unaffected.
Same point can be made about anything. Never breaking BC is easier, and more comfortable, but in the end it's slow and inevitable death.

If C++ would have cleaned up legacy, Rust wouldn't need to exist for ex.

Java has long had a policy of never breaking BC, but few years ago they started marking packages deprecated for removal. They're very slow and systematic about it, as they should be, but the point is, eventually those packages will be removed. And that's good. It means Java has a future.
This is the most believable explanation.

There's probably less than 500 people in the entire world that are making actual design decisions for the most advanced nodes.

So the status benefits would be higher then practically anyone in SV outside the C-suite and a few well known personalities.
Every time someone posts this kind of response i wonder who is the apologist for the human who does something like this because normally functioning people never would, you have a robot that being hailed for its driving perfection acting like a drunk or a psychopath and people trying to convince you it’s not so bad because it’s brothers statistically don’t do it that often.
Yes! I remember reading about this album in the ‘90s and decided to buy it as soon as it’s reissued. Still waiting.

I don’t quite understand how that’s possible for someone with as much name recognition as Carlos. Are the rights to this album held by a bankrupt record company or something?
This particular issue is difficult to discuss from a scientific perspective, because basically the only non-opinion (i.e. ideological) questions that can be asked are: whether making assisted suicide legal increases or decreases total suicides, and what are the economic impacts of assisted suicide legalization. Everything else about assisted suicide is ideological or ideological driven (at minimum, the balance between antipathies of death compared to pain).

Everyone talking about this is biased. Some lie or exaggerate, and this is important to point out, but every source of information cherry-picks what they choose to highlight.
Playing "poker" at work and having agile helpers sounds like extreme dysfunction.
Try Kagi?
Sounds like thousands of life coach surfers may be out of work, dude. Not cool.
cool but market forces are shoveling dirt on to the coffin of x86 no matter what, the window has closed
Tree-of-Thought: Improving GPT-4 Reasoning by 900%
Paper here: https://arxiv.org/pdf/2305.10601.pdf
This is a terrible terrible idea.
I am just seeing a bunch of talking in this HN thread, which is honestly a waste of time. Anyone who actually wants to see some change, please call your local politicians to increase the budget on schools instead of posting useless comments here.
The result is certainly not the same.

A LLM (that hasn't been trained on any data regarding this topic) is unlikely to demonstrate the same bouba/kiki effect seen among humans. https://en.wikipedia.org/wiki/Bouba/kiki_effect
Looks very interesting, thanks for the tip!
Having lived on both sides of the fence, I feel comfortable blaming the EEs. Many are allergic to basic scripting, don't bother to learn how their tools work, and have an elitist attitude towards other design responsibilities (ex. layout, verification).

P.S Set up Vivado in scripted mode with either an in-memory project or non-project mode. It works like a champ.
At the end of the day only technology which fully removes humans from the loop will both push humanity into post-scarcity society and make humans irrelevant.

If two years ago it was "we'll get there one day", now "it's here, this will happen very very soon".
> Not even close to all the data on the internet

I agree with your other points, but why would you think ChatGPT was not given all the data on the internet?

If you aren't storing the text, the only thing that stops you retrieving all the pages that can possibly be found on the internet is a small amount of money.

I'm pretty certain that OpenAI has a lot more than a small amount of money.
I was reached out by a recruiter from Neeva just a few months ago. I remember because I was considering to follow through with the opportunity. Crazy they went from recruiting to shutting down completely this quickly.
Urgh how depressing. I thought I was at least a significant psychological leap away from suicide. Turns out i basically lack conviction.
Will they finally have consistent register names?
I believe Bard has the capability of searching youtube transcripts
The Nazi base is set in the heart of Lovecraft's Mountains of Madness, with lots of side adventures....

> ""Operation Deep Frost" is a thrilling first-person shooter game set in the desolate, frozen landscape of Antarctica. Inspired by H.P. Lovecraft's "Mountains of Madness," the game combines the chilling atmosphere of Lovecraftian horror with intense action-packed gameplay. Players embark on a dangerous mission to infiltrate a secret Nazi base hidden within the ancient, otherworldly mountains and uncover the dark secrets that lie within."
Imagine being 250 lbs and feeling like you are starving constantly, despite eating a lot every day. You decide to lose weight. You do something you hate, like calorie restriction and working out like a dog. You lose 80 lbs in 1 year. Bravo. Everyone tells you how great you look. You feel great. All that hard work was worth it. The fatness and a million other things really motivated you to do the hard work. I've done this a couple of times.

Next day after hitting your goal, the starvation is still there. The desire to eat is still there. Hating working out is still there. But now you have to do this herculean effort every day not to get better. Not to lose weight. Just to maintain. Your brain wants you to gain 80 lbs and will never stop nagging you. Not on a good day. Not on a bad day.

Then something really shitty happens in your life. Like it does for everyone. You slip. Eventually you start to gain back the weight. You just want to die. You feel like a failure. You hate yourself.

That's the trick. Hitting goal weight the first time or two is relatively "easy". But you've achieved nothing if you aren't able to maintain weight loss. That's the failure of all approaches prior to these GLP1 and similar drugs.

Having set the scene, now compare it to semaglutide. You have a drug that regulates your brain. Gets rid of the constant nagging to eat. You get normal brain. You lose weight.

Now you have to pick, take a once a week drug for life to maintain, or do a herculean effort to fight the brain urges and work out to maintain.

Which do you think will be more successful?
Some of the thinking appears to be "let's create something that both kids and their parents can relate to" ... this may have started with Popeye (1980 starring Robin Williams) but remaking cartoons or comics into live action TV had started earlier, since at least the 1960s with Batman.

Then there are the familiar story reboots. The Jazz Singer has had multiple remakes since the 1920s (and we're overdue for another one). A Christmas Carol has been redone even more.
> I don't know if it was true, but the eels were said to all be bought up by Asian buyers

Anecdotally I recall watching a documentary about an eel fisher who catches, smokes, and sells eel. There are a few scenes where they show him executing large deals, and yes the buyers were all Asian.
Never underestimate the amount of pain engineers will subject themselves and others to, all in service of a clever pun.
Lead time isn't because of some magical bottleneck. It's because of demand and batch size. If university students can somehow decimate the batch size needed per design, and enough groups do this (or find new ways to reduce the process size in order for more firms to do this), and enough of them do it at once to help demand, then the lead time goes down, and so do costs.
Getting Apache from distro repos is like using MS Word and Nginx like Notepad. Rarely you use all the features available on Apache but, mostly at the beginning, compiling Nginx to get features was the daily routine.
> Not really, I would push for reform.

I’m not trying to catch you in some kind of “gotcha” but trying to understand your reasoning. If the moral implications of killing animals are roughly the same as killing plants, do you also believe agriculture needs reform for similar reasons? And if not, wouldn’t that indicate some higher moral obligation towards animals?

> Without self-awareness, there is no 'someone' to reflect on experiences. No personhood.

Why is reflection on experience the bar and not experience itself? Animals demonstrate learned behaviors, e.g. recognizing humans from memory and resuming friendly behavior based on that recognition. Similarly, avoidance of situations that are known to cause pain.

Our not-so-distant primate ancestors had a similar kind of experiential existence before gaining the ability to reflect on that experience.

The underlying experiences that this reflection reveals are the same experiences that predate our ability to self reflect and are the parts of us that are most common to us and other animals.

I guess what I’m fundamentally not understanding in your argument is the basis for the idea that a species gaining self reflection somehow becomes the point at which it becomes immoral to kill or harm that species.

Furthermore, moral behavior can be found all throughout the animal world, with clear indications of love/protection, companionship, sharing/cooperation, reciprocity, memory of transgressors, etc. Obviously the subjective experience of these behaviors will differ across species, but the more important point is that it seems problematic to attribute the existence of moral behavior to self awareness. Self awareness helps us improve our understanding of moral behavior through rational thought, but the logic of such inquiry ultimately still relies on those underlying subjective experiential states. The fact that through introspection we can identify and label these concepts is unique to humans, but what I conclude about this is quite a bit different than your claim.

I’d argue that gaining the ability to self reflect is the very thing that increases our moral obligations. Only through self reflection can we realize that as a species, we’re no longer bound to our evolutionary defaults, and no longer required to kill other animals to survive. What arguably started as natural selection of traits that are adaptive (but imperfect) for the survival of a social species could evolve beyond those more primitive defaults. And through self reflection we can now understand what pain feels like, and how inflicting it on others is harmful - to them and to us.

I’m not arguing that eating animals is never acceptable. But the way we go about it surely seems to matter, and if it matters, the implications of it mattering are worth exploring more broadly.
This comment chain wasn't about outputs, it was specifically about whether or not LLMs "reason"—precisely the internals. I feel like you're just moving the goalposts now to deflect from the original question.
Nobody's building any where demand is highest because that will depreciate homeowners' assets.
The S5 is certainly not a popular phone in 2023 anymore, it's close to 10 years old.

And no, it does run as snappy as a modern device with the latest Android flashed to it, I can make a video if you don't believe me. Ironically it's even faster now in Android 13 than it ever was during its prime era.
A single family home can be an apartment. It's a _home_ not necessarily a house. Just like a 600 sqft studio in Manhattan can be a "mansion" because it is over a million dollars.

Many people living in New York rent, with no ability to afford a down payment to own. The maker of wealth is not them.
Hey guys keep it up! I am one of your early supporter customers, and I haven’t used Google ever since I switched to Kagi sometime in 2022

The pay for use model for search is refreshing. I hope the economics work out
1. There is no such thing as 100% accurate. Not only is it not physically possible (there can always be hardware errors or bit flips) but it's not even theoretically possible (you'd require a checker that was 100% accurate to tell, which is equivalent to solving the halting problem).

2. We already have, since even these early days models are in current use.

3. The assumption here is that human expertise will always be more accurate than model expertise, which seems unlikely.

I wouldn't be surprised if someone - even just for fun - tries to set up a software company with a traditional management/developer structure, but where AI plays all the roles. It sounds like an interesting experiment.
Britannica is still in a relatively high regard, and I heard that Windows and iOS are not entirely marginal.

There may be room for more than one good LLM, especially in niche areas of knowledge.
read/select loop? Or am I too outdated?
It might be true in isolation (and for more middle incomes), but real income and especially buying power has declined a lot in the lower half of the population.

It seems to be mostly people who had a chance to accumulate wealth during an economic boom that go on these "just cut the avocado toast" prescriptive rants.
Never heard of Neeva before. That is probably part of the problem...
I mean, yes, there is an HTTP1, 1.1 and 2 spec, gzip spec, brotli spec, mime types, tls 1, 1.1, 1.2, and 1.3, quic spec, sni spec, but I did not bother replying as the grandparent comment hasn’t given any detail.
I was a user of Gentoo for two years in 2002. After the compiling completed after the initial install, I spent 15 minutes downloading and installing debian.
It's not only the government, it is also the EU. Almost all of the co-funding you can get as a new businessman is for tourism.

An industrial growth in the south does not benefit Germany. They need to maintain the primary trade deficit.

Plus a country that has 25% or its GDP on tourism, is easily controllable. See the massive campaign that portrayed Greece as dangerous during the 2009-2010 crisis, causing tourism to plummet.
While you're at it, throw out your calculator because it has no conception of numbers and doesn't know anything about mathematics.
I'd have to agree, it is grammatically logical but it is not semantically logical. Semantical logicalness is the really hard part.
There are better examples.
>Stop apologizing
>I’m sorry…
These scenes exist in movies for a reason.

(And people randomly fucking up in traffic happens too).
I would expect it to perform better with a confidence score in plain English, ex: very low confidence, low confidence, high confidence, very high confidence.
There are similar efforts to revamp C++ or replace it with another language, too.

Rust is a famous example; there's also Carbon[1] and cppfront[2].

Even so, this may be a controversial opinion, but with C++20, it has become fairly straightforward to program relatively safely and avoid some old footguns.

[1]: https://github.com/carbon-language/carbon-lang

[2]: https://github.com/hsutter/cppfront
https://www-cs-faculty.stanford.edu/~knuth/email.html says "I have been a happy man ever since January 1, 1990, when I no longer had an email address."

1990 - 1938 = 52.

He was born 2 years before "Don't trust anyone over the age of 30" Weinberg. ;) - https://en.wikipedia.org/wiki/Jack_Weinberg#%22Don't_trust_a...
Indeed. The pandemic at-home schooling I witnessed was just a much worse version of regular school over zoom. It was very far removed from the homeschooling I was saw pre-Covid.
I think they have to hedge this way to "make everyone happy", including twitter or publications that want to shame them for what their chatbot has said.
Sure it’s extreme, but I’d argue the “terrible terrible” idea is allowing the tyranny of beta software to run roughshod on the road, while the humans have to cope
LLMs are more likely to create novel content (i.e. "hallucinate") than copy training data verbatim, so, in a word, "No". In fact the unpredictability and hallucination behavior is what is called creativity in artistic domains. The whole Stochastic Parrots paper and concept originated with Luddites who don't want this technology to advance to the point where is generally useful and applicable. And while the Luddites (people who smashed the first robots, Jacquard Looms which were programmable machines that did a job only humans were previously able to perform) had a justifiable concern about negative impacts (the loss of employment took two generations to recover) it is safe to say that the Industrial Revolution has had more positive effects (e.g. life expectancy, per capita wealth) in total.
There is a lot of elasticity in American expenses, per both US BLS and Federal Reserve studies. The percentage of households that struggle with necessary expenses is ~12%. That is still a large number but a lot more plausible. I would take “struggling to make ends meet” with a large grain of salt.

The 38.5% threshold in the article is perhaps not coincidentally right around the percentile where Americans have excess income even after accounting for all ordinary lifestyle expenses (iPhones, nice cars, etc). The median US household has ~$12,000/year in income leftover after all of these expenses.
Show HN: PromptOptimizer – Minimize LLM token complexity to save cost
For enterprises, OpenAI (and similar other) API Bills can be pretty high, any optimization per prompt could result in saving hundreds or even thousands of dollars over multiple calls.

It is possible to reduce these costs by optimizing the number of tokens in the prompt. We call this "minimizing the token complexity". Informally speaking, token complexity is the estimated number of tokens required in input prompt to achieve a task. I understand more theory is required to formally describe token complexity and we are working on a paper for same.

PromptOptimizer provides a set of optimizers (https://promptoptimizer.readthedocs.io/en/latest/reference.h...) and metrics to evaluate optimizations. As a framework, it is very easy to extend it by creating custom optimizers (https://promptoptimizer.readthedocs.io/en/latest/extend/cust...).

There's a lot that can be done but for now we provide a set of preliminary optimizers and their performance evaluation here: https://github.com/vaibkumr/prompt-optimizer#evaluations

There's a lot that can't be done because we don't assume access to model weights, logits or decoding process. We are trying to do the best with just optimizing the number of tokens in input prompts.

My personal favorite is EntropyOptim: https://promptoptimizer.readthedocs.io/en/latest/reference.h...
It uses a Masked Language Model to remove low entropy words (they can easily be inferred by good LLMs). Certainly, sometimes we would not want to lose important tokens for which we provide ignore tags in our framework.

No free lunch: The reduction in cost often comes with a loss in LLM performance as can be observed here: https://github.com/vaibkumr/prompt-optimizer#cost-performanc...

The eventual goal of this project is:

1. A one-stop solution for saving LLM API costs. Most of the existing works in this direction focus on vector stores and semantic cache. This project is perfectly compatible with those techniques and might include own implementations in future.

2. Extending "token complexity" theory formally.

3. Open leaderboard style evaluations in terms of minimizing prompt and continuation tokens for solving a task.

4. Be open to contributions and discussions for more diverse future directions.

The project is inspired by Kevin from The Office TV Show.
"Me think, why waste time say lot word, when few word do trick."

what you think?
Lol. I find this hilarious. It’s like you walked into a posh hotel and had this conversation with the front desk staff who are perennially apologetic.

(I do apologize, sir, it is not in my programming to be anything but apologetic. I hope you can accept my sincere regret in this matter. And, please, continue to inform me on how I can improve in serving you.)

LOL
Sneaking in more qualifiers are we? :)
That would be nice, but "A Man named Otto" is fiction, not a documentary. It's even more far fetched to suppose that entire society is going to change than to expect that any single person will pull themselves out of the abyss by their own shoestrings or using magic potions cooked up by Pfizer. People want all kind of things like life without suffering or drinking without hangovers, but they also come to realize that reality has limited options.
What are some interesting areas of math to study beyond calculus?
I am a typical computer science person, having studied the typical math topics an undergraduate would study. The topic area I spent the most time on (besides computer science) would be calculus. I have been out of college for a few years, but I find myself missing mathematics. What are some topics/areas of math that I didn't know I needed in my life? Doesn't have to be practical, could be purely for intellectual interest. But practical/useful topics would be welcome too of course.

Here are some things I have already studied:

- Calculus
- Differential, Integral, Sequences and Series, Vector (partial differential equations, gradients, Lagrange multipliers)
- Statistics and Probability basics
- normal distributions, hypothesis testing ("rejecting null hypothesis"), combinations/permutations
- Linear Algebra
- matrices, vector spaces
- Abstract algebra concepts from my studies in Functional Programming
- monads, monoids, higher order functions
- Discrete Structures and other CS stuff
- proof theory, set theory basics, logic, boolean algebra, graph theory
- Computer Science
- Deterministic Finite Automata, Grammars, Turing Machines (and Chomsky hierarchy of languages)
- Fractals, Cellular Automata
- Algorithms and analysis of algorithms
- alternative number system: base 2 number system (binary)

Recommend me something new!
> All oversights and mistakes made by Intel over the years

Engineering is not about achieving perfection. It's about organizing compromises to create a product that provides good utility at a fair price. These were not oversights or mistakes they were intentional design decisions.

Likewise.. you can see segmented memory as "nonsense" and a "waste of development time" but Intel clearly didn't fail at anything. They've been one of the largest and most successful chip manufacturers for decades, because their products provided real utility at affordable consumer prices and software developers gladly put up with the technological choices to be a part of that giant market.
As far as Hollywood is concerned, the only criteria for “working” is whether people still go watch the movie, not how uncanny it looks.
Do you review what you've written at a later date or is the value gained just in the initial writing?
What’s wrong with JWZ?
I’m, uh…. not sure that’s interesting at all, since they’re successive installments in a series of movies….