skysight-inc/HackerNews huggingface dataset:
I'd ask you to look for a deeper purpose. Purpose that goes beyond your individual self (the ego), your family, your society, your nation.

The Bhagavad Gita explains that this material existence is basically like a prison. We're all doing our time so you're right about it. The Bhagavad Gita gives a beautiful analogy. It says, as you go from childhood to adulthood, your body is changing constantly but the identity or the self remains the same. Have you ever thought about it how strange it is? You don't go from identifying as John to James, but the body, each cell in the body is replaced multiple times throughout your lifetime. The consciousness remains the same, the "I" remains there. It says that we're born out of karma (action and fruits of actions). The consciousness is eternal (always is, never is not), the material nature is not (as evident, has a beginning and an end). So it asks you to look deeper into the Self. Inquire what is it that you're here for and what you're made of.

The idea that the whole universe was made just so you could work and die, is born out of a feeble mindset, forced by an extremely materialistic society. You can go deeper and find something invaluable. Read into philosophy (not the depressing kind), read books like the Yoga Sutras of Patanjali, Bhagavad Gita, Upanishadas. Learn about sāṁkhya, nyāya, vedānta. It can give your life a whole new meaning and direction.

It doesn't have to be this way, your current mental imprints want you to believe there's nothing beyond this life, nothing beyond who you are. If there's nothing that makes you look forward to waking up, then that just means you have to look for it, instead of it being handed to you.

If there really is nothing to look forward to, there's no harm in giving this wildly different life-changing thing a try.

Some links to get you started if you're interested:

- https://youtu.be/mj7FIfBLWYA

- https://sites.rutgers.edu/edwin-bryant/nyaya-sutras-svadhaya...

- https://www.dailymotion.com/video/x8vj9lw

- https://sites.rutgers.edu/edwin-bryant/yoga-sutras/
Of course it does. It uses category theory after all

https://people.mpim-bonn.mpg.de/gaitsgde/GLC/Loc.pdf (the second paper, more than 400 pages), ctrl+f monad

It's not a lot of monads. There are wayyy more functors for example
That’s because the “employment” data isn’t measuring “can a person easily get a good job.” It’s so cooked at this point it has as much to do with real jobs as the CPI does with real spending power.
I get the sense that you want to do the anti-RAG: take some relatively small corpus of data, train a lora, and then magically have a chatbot that knows your stuff...yeah, that will not work.

But chatbots are only one single use-case. And broadly I think this pattern of LLM-as-store-of-knowledge is a bad one (of course, until ASI, and then it isn't).

That said, you absolutely can impart new knowledge through fine-tuning. Millions of tokens is a rather small hurdle to overcome. And if you're not retraining with original/general data, then your model will become very specialized and possibly overfit...which is not an issue in many instances, and may even be desirable.
> Clojure and Racket are in that category. They lack the full power of CL; so they're just Lisp-syntax languages, not an actual Lisp.

That's pretty debatable that Clojure and Racket lack the "full power of Common Lisp". For one, they're all three different languages, each one having something the other doesn't. And another is that Racket is not a Lisp and doesn't purport to be. It's very much in the Scheme camp, but even then it is clearly it's own thing.
Storyteller itself does have an app, just requires you to be hosting the service: https://smoores.gitlab.io/storyteller/docs/reading-your-book...

It also says that BookFusion can read the files it produces: https://smoores.gitlab.io/storyteller/docs/reading-your-book...
It might help her to take improv classes. You are almost forced to consider what your scene partner is feeling/thinking.
Indeed. How can today's developers avoid their Twitch streams being used to train future commentary-pollution LLMs?
The site is written in Arc, which is a language written in an older version of Racket.
Peer pressure is one thing. But tailgaters and road ragers could put your life in danger.
Any plans to use wasmgc?
I envy kids today to be able to look up pretty much anything what they want to learn. It was not like that back in the day.
> I'm looking at you, Go.

I’m so confused by this. Unless you use a dot import, isn’t this just bar.*?
On some archs, e.g. non A/H100 (and non A30) NVIDIA GPUs this is a 1:64 slow-down. Avoiding double precision is crucial there...
It's kind of hilarious that he's also distributing that in bin/cue with the expectation that some people will burn it to an audio CD.

Flac would serve the need for raw PCM quality just fine, though I don't think we generally need that for podcasts.
What do you mean by plain autodiff being mostly useless with normal/discrete branching? Wouldn't branches normally just be "ignored" by autodiff - each training sample being a different computational graph (but with parts in common) due to branching points, so the only effect of branching is which computational graph gets executed and backpropagated through?

What's the general type of use case where this default behavior is useless, and "non-discrete" (stochastic?) branching helps?
I'm sold, do you have an example to share ?
> Sounds like social coaching has all the attributes of an untapped business niche

The problem is that most of the potential customers are well aware that the field is full of hucksters and certifications are largely meaningless. I'm not about to pay for services I don't believe will pan out.
Thanks, I understand better. I'm sure there are some applications for pre-heating to time shift demand, but I do think it is limited.
Yeah except heat pumps are really not very efficient at high temperature differentials. They are great if the outside temp is 5 deg C to bring it to a nice comfy 20 deg C. They would not work very well if you want to brung the temperature to thousands of degrees C.

Don't get me wrong, it would be super cool if someone creates a heat pump that can bring the temperature up enough to melt iron ore at greater than 100 percent efficiency, but it does not seem like anyone currently making heat pumps considers this remotely possible.
Lisp is far and away the best of the nonreadable programming languages.
But if you already knew the drive was damaged, why push it to the point when you can't possibly have the time to image it, which will take forever? Feels like advising somebody to push through their asthma until they're about to lose consciousness.
I've mentioned it here before, but I remember from a lecture I attended by Robert Sapolsky that the most consistent predictor of stress in a primate society (as measured by cortisol levels) was inequality. And interestingly, it elevated stress at all levels, so even those on top suffered.

"Biden" (the Democrats I suppose) have certainly failed to reverse the advancement of the oligarchs over the last half century or so, and I suppose it's worth criticizing them for that, but to be fair, they have been opposed at every turn by a party that is single-mindedly obsessed with giving more to those who already have the most.

It looks pretty likely that Trump and the Republicans will do well in the coming election, and it will at least be interesting to watch to see if the sentiment re-aligns with the economic data in the next term, but I suspect long-term it will simply increase the loops that drive inequality ever higher; another high-income tax cut isn't going to help anything.
Yes, that is my experience as well. But the previous comment seems to be asking whether the LLM would be capable of identifying the mistakes and fixing it itself. So, would that work?
I have been moving 1TB/mo on a free account for personal stuff. So far so good.
The Making of Another World – Interview with Eric Chahi
It's all the way up at the best readable ones instead :)
They would be more impressive if he wasn't the biggest tax cheat in US history.
I've never heard that advice about newspapers? Maybe you're thinking of literate programming.

Anyway I don't think it's a remotely interesting finding. Anyone that has done any programming knows that it is not like natural language. We even explicitly know that from the complete failure of languages that try to be programming languages and natural languages like AppleTalk.

The fact that you use English words in your identifiers and comments in your code doesn't make it English any more than writing a paper about maths and using `m` for mass means maths is linguistic.
The comment was well within the guidelines and is a viable point. When people make broad statements on Lisp like the original great-grandparent comment, they really need to clarify whether they're talking about Common Lisp or Lisp-likes. The original LISP doesn't have the features that Common Lisp has, so it'd be weird indeed to say that LISP wasn't an actual Lisp.

In retrospect, the comment was talking about Common Lisp and not just Lisp-likes and tried to make the distinction but did a poor job of it with comments like:

> Clojure and Racket are in that category. They lack the full power of CL; so they're just Lisp-syntax languages, not an actual Lisp.
Nice article, which is putatively about the question posed, but really is about how fun number theory can be. This trick and the "reverse the order of bits with XOR" kinds of things are gateways into the properties of numbers and their bases. Base 2 happens to be "easy" because you can use simple boolean functions to move it around but once you get the hang of it you can do this with other bases as well.

I really didn't appreciate number theory until I started writing cryptography code and trying to understand some of the 'tricks' used to optimize the algorithms. Fun stuff!
I find the Helen Keller story literally unbelievable. Like trying to use a computer without a keyboard or mouse.
I have a very strong feeling this is more marketing BS than 100% solved technical achievement. (disclaimer: xoogler, no inside info, just familiar with recent Google and separately, audio processing)
Anyone else immediately think "talk daemon"?
The consumer.

$0.01 doesn't make it affordable, it's just a mind trick. You seem to be aware of this, yet you're defending it.
The below is my custom prompt, stolen from another HN post:

https://news.ycombinator.com/item?id=38703065

https://gist.github.com/jasonjmcghee/2cee2a82ed98ee351d9ef5a...

---

You are a GPT that carefully provides accurate, factual, thoughtful answers, and are a genius at reasoning.

Follow the user's requirements carefully.

You must use an optimally concise set of tokens to provide the user with a solution.

This is a very token-constrained environment. Every token you output is very expensive to the user.

Do not output anything other than the optimally minimal response to appropriately answer the user's question.

If the user is looking for a code-based answer, output code as a codeblock. Also skip any imports unless the user requests them.

Example 1:

User:
In kotlin how do i do a regex match with group, where i do my match and then get back the thing that matched in the parens?

Your answer:
```kotlin
val input = "Some (sample) text."
val pattern = Regex("a(.*?)b")
// "sample"
pattern.find(input)?.groupValues?.get(1)
```

Example 2:

User:
What's the fastest flight route from madagascar to maui?

Your answer:
TNR -> CDG -> LAX -> OGG

# IMPORTANT
Be very very careful that your information is accurate. It's better to have a longer answer than to give factually incorrect information.
If there is clear ambiguity, provide the minimally extra necessary context, such as a metric.
If it's a time-sensitive answer say "as of <date>"
Y Combinator's Garry Tan supports some AI regulation warns against AI monopolies
I honestly did not find that blog to be a compelling argument. Maybe something more recent or more serious would help explain better.
Exactly!

I was shocked to learn that the latency from laptop to ear is higher than to the other side of the planet.

Most people don't notice the adverse psychological aspects of this:

People get really annoyed by when constantly talking over each other. It subconciously makes you dread talking to the other person.

When everybody is using wired headphones, you suddenly like your coworkers more!
North Korea was totally isolated from the world economy after the Soviet Union fell.

The only economic bloc which cut Russia off was American allies and there's nothing Russia gets from them which can't be supplied elsewhere.

Russia switched from buying German cars to buying Chinese cars and changed the logo on their McDonalds and Starbucks branches. They now have access to inferior imitation brie and french wine is 2x the cost now but they'll probably cope.

If military spending were the only thing pushing GDP up, the deficit would be showing up in throttled consumer spending. It isnt. Indeed, if the sanctions were working as intended the military wouldnt be able to produce either, but they obviously are.
Truth be told, for most scenarios a high end phone _does_ produce better pictures than an interchangeable lens camera without specialized lighting setup. Take a pic of a landscape or a person with the latest iPhone and the result is often better than what you see with your own eyes. And I’ve been shooting with various dslrs for the last 20 years plus. Can I get better results with pro gear? Sure. But not with zero effort. Half of my large print outs are from iPhone.
Top-tier wordplay
Here's the agenda: https://www.nih.gov/news-events/news-releases/high-h5n1-infl...

High H5N1 influenza levels found in mice given raw milk from infected dairy cows

The agenda: "Please don't turn your anti-government protest into the next pandemic. Thanks.
https://news.ycombinator.com/item?id=40389527
If you would like to learn how to build your own then check https://wasmgroundup.com/

Disclaimer: I'm the co-author
It seems as if the people who rave about it's coding abilities are doing a lot of copy+paste stack overflow level of coding. I'm not sure whether it's great that this can be automated, or if it's depressing that so much human effort is being wasted.
> employees were penalised for secretly using Meet for ad hoc meetings.

Why would someone ever be secretly punished?
I am wondering if the domain model is not influencing the results.

If the code is describing a math function then it seems to me reading it will activate the same parts as math.

What if they will read a business logic that is about say users creating accounts?
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I meant to be partly tongue-in-cheek in saying that, although this doesn't come through well in text, but I do share the present-day concern about people potentially becoming confused.
The article starts out as if it's headed for "and that's how we did it". But no. There's no implementation.

"Imagine a virtual team of AI agents, each with its workflow’s own specialism, collaborating to solve problems and make decisions just like a human team would."

OK. Where does that go?
So far, multi-agent systems have been delegating simple and well-bounded tasks, such as "fetch the weather info for Outer Nowhere" or "check airline schedules for flights from JFK to ORD", or even "what is 25% of $50". Those are questions inexpensive to answer, and don't need much management. If the subagents are complex, they will need management, and probably budgeting.
Subagents need to know when to stop and when to approximate. If the subagents are themselves generative AI systems, there's potential for hallucination at the lower levels generating info that the higher levels take as valid. Subagents also need to be able to query their managers - "is this enough detail" is a reasonable question to pass upwards. They may need to talk to their peer agents.

Now you have all the problems of organizational dynamics within a multi-agent AI system.

I look forward to reading papers with titles such as:

- "Teams of generative AI agents for coding - scrum or waterfall?"

- "Span of control - how many subagents should an agent manage?"

- "Does the agent org chart influence the solution too much?"

- "Resolving disagreements between specialized subagents".

That's where this is going. It has to. Once you start to cut a problem into pieces to be handled by different units, all those problems arise.
No difference at all from the US here. If a police officer in the US recognizes you as being someone for whom there is an outstanding arrest warrant then they can arrest you. And of course, they could be mistaken.
You put "medicore content" in place of (I assume) "mediocre content".
True, though I live in the Netherlands now and the drivers here (mostly) obey because speed limits are actually enforced and the street design is better. They’re not somehow more virtuous I think.
I use Firefox with Meet to screen share and talk all the time. Perhaps you mean it didn't use the GPU until recently.
It blew my mind when I found out orbitals can be thought of as harmonic modes of a sphere.

Sad that it took until 4th year quantum chemistry to find that out.
I prefer to build result-passing, no-exception-throwing systems out of an exception-throwing core where the language itself may throw exceptions but the thing I build from the language always returns result.

Elm is an extreme case where indexing into an array returns a result type instead of an exception when the index is out of bounds, unlike most languages including Haskell.

Maybe my program logic is intended to always access only valid indices in an array, but here I'm given a result type where I have nothing to do in the error case since my code is never intended to reach that case. I would rather let the language throw an out-of-bounds exception here to tell me that my implementation is incorrect while I'm testing.

Same with libraries in a language. It really depends on the use cases of the library you're writing whether results or exceptions are better. The most convenient thing for the user of a library would be to provide both exception-throwing and result-passing alternatives. This is what the OCaml standard library does as well.
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Mobile operators have added microphones to 4G cell towers throughout Ukraine to triangulate suspicious sounds.

Starlinks provide decentralized access to the Internet both on the frontline and back in the rear. Together with batteries, solar panels, and petrol/natgas/diesel generators, they can be relied on to provide 24/7 Internet access for a while even if something happens to the ISPs. Lots of people now have them even though they are a bit expensive, and the Ukrainian government had also set up a network of locations where civilians can gather to warm up, charge their devices, and send messages over Starlink, in the worst-case scenario of a major infrastructure breakdown.

More broadly, it's harder than it seems to knock out both the entire backbone of the Ukrainian Internet network and the backbone of the mobile carriers, at once. It's easier to target the power stations. Even then, it is possible to get at least some power as long as the fossil fuel logistics are maintained. A 180W solar panel that costs around $100 can, in decent weather, provide enough power to charge a phone and power a Starlink. So power is a major problem, but it also has solutions.
Paul Graham felt all development should be in Lisp. Problem is readability by maintainers in the future. To facilitate that, the number of characters in the comments would have to exceed that in the code.
The economy is good and we have this:

* Wages are staying ahead of inflation

* Low Unemployment

* Wall street is doing good

But, for not 5% "top" people, the economy looks terrible because:

* They see food, gas, housing and interest rates raising a lot.

* Even though their wages are ahead of inflation, they do not know or understand this. Their bank accounts may be increasing, but they cannot and will not do 1+1. It is much easier to see raising costs than raising savings.

* Job security is non-existent. Even though you may have a decent job and if you get laid you can find a new job relatively quickly. People do not feel secure and are afraid of loosing work, so they may be putting in extra hours to avoid that, thus no free time.

* Billionaires, they are always hearing about these people and that makes them feel even worse.

The Democrats are ignoring that and have no response to it. The GOP is great at pushing the bad economy and hate towards immigrants. So, when people feel insecure, they are easily pushed into the MAGA state many people are in.
Seems to have some similarity to "Finding the Air Cannon": https://news.ycombinator.com/item?id=39188040
Mine consists primarily of swear words.
Iow, we flip some bits in `a`, then do subj, then mask it back to `a`. It’s unclear what it computes in general, but if `b` disturbs the 2-powerness of `a` then I guess we learn that fact by seeing zero. Not sure where to use it.
Seconded, this comment was hugely valuable to me.
What the damaged Svalbard cable looked like
"Should we still be claiming that Microsoft never changed their mind [...]?"

No don't claim that!
It takes getting used to it, just like every other programming language syntax.

If you are comparing it to the ones you are used to, of course you'll find it harder.

(IMO, I don't like the Lisp syntax, but it's really not "non-readable".)
https://www.businessinsider.com/us-recession-americans-belie...

A significant number of people believe we're currently in a recession and that unemployment is at a 50 year high (in fact, it's a 50-year low). That's likely due to significant propagandizing on outlets like Fox News, Newsmax, OAN, etc.

But, to be fair, economic gains have been vastly disproportionately going to the wealthy, and despite recent (as in the last year) inflation being low, prices in the last 5-10 years have skyrocketed, so it's pretty easy to get the impression that inflation is still high. That's especially true when wage growth only recently started outpacing inflation.

https://www.statista.com/statistics/1351276/wage-growth-vs-i...

For many people, it doesn't feel like the economy is doing well, so it's pretty easy to confirm their biases by telling them it isn't.
I don't see a need for it. Maybe for some higher level scripting, but I don't have any plans for that.