skysight-inc/HackerNews huggingface dataset:
A few comments:

- My understanding is that a gamma chirp is the established filter to use for an auditory filter bank--any reason you choose an elliptical filter instead?

- I didn't look too closely, but it seems like you are analyzing the output of the filter bank as real numbers. I highly recommend you convolve with a complex representation of the filter and keep all of the math in the complex domain until you collapse to loudness.

- I'd not bucket to discrete 100hz time slices, instead just convolve the temporal masking function with the full time resolution of the filter bank output.

- You want to think about some volume normalization step that would give the final minimized Zimtohrli distance metric between A and B*x, where x is a free variable for volume. Otherwise, a perceptual codec that just tends to make things a bit quieter might get a bad score.

- For fletcher munson, I assume you are just using a curve at a high-ish volume? If so, good :)

- Not sure how you are spacing filter bank center frequencies relative to ERB size, but I'd recommend oversampling by a factor of 2-3. (That is, a few filters per ERB).

Apologies if any of these are off base--I just took a quick look.
https://old.reddit.com/r/nyc/comments/1cn9cxl/portal_to_dubl...
In the before times, would you copy/paste something directly from StackOverflow or the like?

No of course not. You'd look it over, assess if it does what you think is the right thing, and consider if that's really what you want. But more likely you look at it, decide it's not quite what you need, and modify it as appropriate.

LLMs are no different.
From my experience, the more ones learn about how the sausage is made, the less you want that stuff in your codebase.

I think that this tech could be useful at point, with a lot of well-engineered guardrails around it, maybe. And this will mostly be for boilerplate and the most generic parts of your code.
Groq is serving an LLM from (100s of chips worth of) SRAM, so the effective bandwidth thus token generation speed is an order of magnitude higher than HBM. This would 3.5x their speed as well, it is orthogonal.
It's okay. It happens to all of us.
From “All You Need is Cheating”:

https://sourcegraph.com/blog/cheating-is-all-you-need

One of the craziest damned things I hear devs say about LLM-based coding help is that they can’t “trust” the code that it writes, because it “might have bugs in it”.

Ah me, these crazy crazy devs.

Can you trust code you yeeted over from Stack Overflow? NO!

Can you trust code you copied from somewhere else in your code base? NO!

Can you trust code you just now wrote carefully by hand, yourself? NOOOO!

All you crazy MFs are completely overlooking the fact that software engineering exists as a discipline because you cannot EVER under any circumstances TRUST CODE. That’s why we have reviewers. And linters. And debuggers. And unit tests. And integration tests. And staging environments. And runbooks. And all of goddamned Operational Excellence. And security checkers, and compliance scanners, and on, and on and on!

So the next one of you to complain that “you can’t trust LLM code” gets a little badge that says “Welcome to engineering motherfucker”. You’ve finally learned the secret of the trade: Don’t. Trust. Anything!

Peeps, let’s do some really simple back-of-envelope math. Trust me, it won’t be difficult math.

You get the LLM to draft some code for you that’s 80% complete/correct.
You tweak the last 20% by hand.
How much of a productivity increase is that? Well jeepers, if you’re only doing 1/5th the work, then you are… punches buttons on calculator watch… five times as productive.
Reminds me of an entry from my quotefile:

< HellKat> the clock itself is set to UTC but it has a weather facility too - if you set the GPS coordinates

< HellKat> temps right, weather however is wrong, comp says cloudy, looking outside says raining
The problem is whether people see programming as a zero-sum or positive sum enterprise. In the real world, it acts as a positive sum enterprise: one person's contribution benefits themselves and all those who use or learn from the code. However many gatekeeping-type people view it, perhaps instinctively, as zero-sum. They imagine that OpenAI benefitting from this partnership, or any amount of learning via web-scraping their models perform, necessarily harms those who put their content online. This in a nonsensical argument yet has garnered a fair amount of support due to the somewhat reflexive anti-AI sentiment as of late, which is separated from the more nuanced concerns of existential threats due to AI.
there are portals ...
Because of how it works you can also key using the pause and next multimedia buttons on your keyboard. Now we need to make the snake eat its tail by rigging an Iambic paddle to send pause/next events.
This is something new. Before it you had to create a native-compatible shared library that returns jString/jObject instead or use a proxy which did this for you (JNA). Let's see what happens next, maybe even shiboken
ML gives a whole new meaning to "training your replacements".
Shrub Oak School for Autistic Youth Lacks Oversight, Accused of Abuse
Big picture, IMO most devs (especially more junior ones) are far better at writing code than reading it, that’s part of the allure of green field projects.

No, you don’t trust any LLM output, just as you shouldn’t trust code you get from Google, SO, etc. You read it, understand it, and decide to use it, alter it, or toss it.

Before LLMs put everyone out of the job, I think code literacy along with (obviously) LLM-specific skills are going to be very important.
for the AI to be useful it has to be continuously updated with new good data

so add small bits of rubbish slowly over time, and don't even contribute again

it'll take a while to completely destroy the AI business model, but we'll get there
Needs gesture recognition to trigger Stargate portal easter egg, https://youtube.com/watch?v=0WvN3Ji-xIQ

Locations: https://www.portals.org/portals
Next step: request a refund for the Windows licence fee. I did this many years ago for a "Windows Home Server" licence, it took a while but I did get a refund. I had to send in the licence stickers and other Windows-paraphernalia that came with the machine and did so gladly, I already had a "designed for Windows XP" sticker on the toilet lid and a "designed for Windows Vista" one for the garbage can so I did not need more of such. The refund was around €60, not insubstantial for a device I bought for around €350,-. As said this is many years ago but I assume there is still some form of Windows licence fee included with your purchase?
What are the negative incentives? How would an LLM improving in capabilities harm those who shared their knowledge for free online at some point in the past?
So there is risk of harm, according to the court, and yourself. I think we can agree that it's a valid debate if there is genocide in Gaza and far removed from the original claim that it's "ridiculous".

I will now continue my education on genocide by listening what a Holocaust survivor has to say about it.

https://m.youtube.com/watch?v=AxLtxX7kPcU
https://github.com/retrage/gpt-macro
Jack Dorsey Leaves Bluesky Board, Calls X 'Freedom Technology'
Minorities are targeted too by this insanity:

> Last year, James O’Keefe released a recording of IBM Chief Executive Officer and Board Chairman Arvind Krishna promising to fire, demote, or deny bonuses to corporate executives who fail to meet the corporation’s racial, national origin, and sex-based hiring quotas or hire too many Asian individuals.
The authors mention that Jacobi decoding is equivalent to greedy autoregressive decoding, but in practice don't we often want the sampling temperature to be above zero to avoid repetitions and excessively generic responses?

I'm completely unfamiliar with this decoding strategy so maybe I'm just missing a simple way to account for that.
Palantir's earnings call rhetoric is terrifying
Building Your First Browser Game with Three.js and React: Part 1
People nitpicking the word “trust” are missing the point.

There’s an obvious and growing dichotomy in experience using LLMs to assist in programming. One camp claims it 2-10x’s their productivity. The other claims it is trash and useless.

A much more interesting thread to pull on would be how these subjective experiences can be so far apart while using the same products.
Top FBI Official Urges Agents to Use Warrantless Wiretaps on US Soil
I wonder the same. I already take issue with the use of "realtime" in the marketing material.
To be fair to him, the one guy reviewing Mac App Store submissions probably doesn’t have a lot to do most of the day when work is slow at his other job except nitpick and argue with developers because his job at Apple is reviewing submissions for the Mac App Store.
In any modern building there should be raceways where new electric can be run vertically and then through hallow drywall walls. Very easy. The big problem will be plumbing. While you can get wall mounted toilets, I don’t think you can avoid having to trench each shower drain into the existing, likely concrete, floor.
> They mix the CO2 with water and then pump that slurry deep underground where it eventually becomes solid rock.

How's that now?
Does it do audio too?

I wonder what the resolution and frame rate is too?

Article was lacking technical detail.
I believe there’s precedent for Americans mooning Austrailia.

https://youtu.be/YkcVzNyj5sI?si=XXY3dnm8WPrmmbu0
I do not understand, how are they "creating negative incentives for sharing knowledge"?

If I posted on SO before in the hope that others find it useful (and not for the karma) - and now it might help others not directly through the site, but with further steps through a llm, where is the problem? Knowledge was shared.
I totally didn't realize it was collaborative. I thought I was only building rooms for myself lol.

Several years ago XKCD released a comic that was different depending the browser, operating system, ip, and referrer you use to view it.

I know people uncovered hundreds of versions of it but I never heard a detailed write up about how it worked or how many comics there were available.

Does anyone know if they ever figured it out?
But how will this affect what devs work on in the future? Will new frameworks be so hampered by this that no one will use them? I tried asking this a few days ago but got little response:

> If I ask some LLM/GPT a react question I get good responses. If I ask it about a framework released after the training data was obtained, it will either not know or hallucinate. Or if it's a lesser known framework the quality will be worse than for a known framework. Same with other things like hardware manuals not being trained on yet etc.

> As more and more devs rely on AI tools in their work flows, will emerging tech have a bigger hurdle than before to be adopted? Will we regress to the mean?

https://news.ycombinator.com/item?id=40263033
Sad to hear Steve has passed.

I met Steve, Bob and Todd at Camber Sands 2001 very briefly, really nice people who didn't act like rockstars at all. Q&A sessions, banter with hecklers, Todd talked about his dog (an Italian Greyhound) a bit.

Friends band recorded at EA, only possible due to charging a low flat fee and no royalties based on who they were - incredible work ethic that has influenced me greatly.

Listening to "Terraform" tonight, and maybe Spiderland by Slint after.
Are they trying to push people to just make iPad apps and make them available on macOS?
My experience is worth less if an AI can summon it at-will. It hasn't necessarily come down to this yet in the software industry, but in others (like animation), folks who were previously responsible for generating concept art have found themselves without jobs as management can get "good enough" results from a much cheaper medium (that was, at least en-masse, trained on their "prior art").

I don't personally have a well formed opinion one way or another on this, but to dismiss the existence of a issue at all is logically lacking.
I asked it to write code to calculate the arithmetic average of a list of ints in OCaml.

It used only integer operators. Nowhere were floats involved.

I asked "why is there no +. or /. operator"

It completely bullshitted me saying + is polymorphic in Ocaml.

Surprised, I asked since when. It game me a caml version over 20 years old.

I fired a repl and obviously + only works on ints.

When I called it out zero fs were given.

I'll pass, thank you very much.
Steve also played with Zeni Geva as Superunit:
https://www.discogs.com/release/876551-Zeni-Geva-Steve-Albin...
That the drop started in the 1940s
I bought a M1 iPad Pro about three years ago, and I paid a lot more for 1 TB of storage in order to get 16G RAM. That was a good decision.

I imaging the new M4 iPad Pros will frequently use LLMs, so future-proofing a new iPad model by getting 16G memory is a good idea. You can run powerful LLMs using 16G or 32G Apple Silicon devices but currently 8G RAM is very tight without having to use a smaller number of bits like Q1, Q2, or Q3.
Whenever I read stories like this I just think to myself how sad it is that people put themselves in positions where they're going to throw their time away.

Is there a repository of these stories? I'm thinking about starting one.
> if any of the super answerers really wanted, they could have tried to sue for illegally making their answers available under a different license.

they can plausibly sue people other than stackoverflow if they attempt to reuse the answers under a different license. but i think it's very difficult to find a use that 4.0 permits that 3.0 doesn't
> No, but I do expect any reasonably competently run company to figure out that the person they hired isn't actually able to do their job, especially after 7 years.

Oh, they did. This person probably did not get paid as much as their peers. A great deal of compensation is discretionary.

Whether any decision-maker actually stood to benefit from removing this person from their position is another matter, however. Firings seem very uncommon, and layoffs depend on business conditions.
I agree that Moxie's mysterious exit (and the associated Mobilecoin shenanigans) and Signal's continued insistence on trusting Intel SGX (which is indeed state of the art, but it's not clear that it's actually secure against a determined adversary) are more salient than the political character of the current board chair. It's a shame the article didn't mention them at all.
People seem pretty happy when Go and Rust do the same with static linking, advocating how great it happens to be.
Yeah I totally agree with you. They cannot prove their value without doing so.

That's a misaligned incentive from the perspectives of both Apple and developers. This should be improved. Otherwise, I don't want to waste any more time flighting with these pointless stuff.
Sorry to hijack your reply, but I've been having a lot of trouble with ChatGPT4 for code. I don't actually incorporate LLM-generated code into my work, but I often converse with ChatGPT and check what it's capable of every couple weeks so I can stay informed.

By far, the most common problem is that I will ask ChatGPT 4 to write a small problem that does X, and it will create a skeleton. Lots of functions that implement at most some paramater validation and then contain comments like // Implement the rest of this function.

With enough prodding, I can sometimes get it to actually fill in the function implementations one-by-one. But often times it will implement part of it and then put another one of those "implement the rest" comments in. Like for example, if I asked it to write a function to draw three circles, after prodding, it would write code to draw the first circle and then stop. Obviously, the answer here is for it to create a function that draws 1 circle and call it 3 times, but I can't fault it for taking my instructions very literally.

Even when I do get it to implement full functions, when I later ask it for the full code listing, it's back to printing out functions that have "implement this" comments in them.

Perhaps the fault is mine for asking it to do tasks that there aren't hundreds of implementations of on the internet.
There's a long tradition of sharing illustrative code snippets on IRC by typing it straight into a pastebin linked to the channel.

The odds of them containing at least one stupid and one subtle mistake are very high, but they're immensely effective at illustration a general shape to another developer in a way they can pick up, cross reference with the docs, and turn into working code in their project.

Treating LLM generated code the same way has been working out well for me so far.
To paraphrase Kahan, it's not interesting to me whether a method is accurate enough or not, but whether you can predict how accurate you can be. So, if ML methods can predict that they're right 98% of times then we can build this in our systems, even if we don't understand how they work.

Deterministic methods can predict result with a single run, ML methods will need ensemble of results to show the same confidence. It is possible at the end of day that the difference in cost might not he that high over time.
I've seen self described "product owners" claim to build using LLM outputs without knowing how to code.
Is Facebook going to complain about trademarks?
the so license is cc-by-sa and has been since the beginning, not cc-by-nc-sa
I'm going to put this here - The Crooked Fiddle Band - a Sydney folk band with major inspiration from Big Black and others had two albums produced by Albini - I couldn't think of a better match:

https://crookedfiddleband.bandcamp.com/album/overgrown-tales
https://crookedfiddleband.bandcamp.com/album/moving-pieces-o...
His prior experience consists of two government focused jobs and self-employment.

Of course SpaceX is the most efficient company he’s ever worked for.
I mean, so far it's 8K comments and counting, including from Paul Graham[0], the vast majority of which seem to be negative, and my timeline is full of outrage over it, and the critical backlash is being reported on by major news outlets and numerous sites filling up over a page of Google results, which makes it a far bigger story than a lot of what gets posted here. But yeah. I guess it really isn't worth our time.

[0]https://twitter.com/paulg/status/1788281290510197191
I have been writing go for a decade now.

Good go is like brutalist architecture. Strip out all the cute, the smart the stupid coder tricks. Write ugly, blocky, verbose, spelled out, functional code. Test the ever loving shit out of it.

Go is fast enough that if your going back to fix a "performance problem" you either did something head smackingly stupid (we all have) or you have a real bottleneck and it's time to roll up your sleeves and write that elegant solution.

I tend to revisit code more often to add features or deal with edged case bugs than anything else. That clear and functional code without any magic is a win.

Edit: you can do the above with almost any language but those that choose packages over standard libs make it HARD.
Leeches? That’s quite a loaded term, especially when you are asking the government to subsidize your lifestyle.
Maybe in Tokyo, but here in Tōhoku it looks like half the cities and roads were never very good to begin with, and now are falling apart.
Let's create one to hold them accountable.

I also tried to be a "good Apple citizen". Last weekend, I even appealed via their "official" channel.
Excited but also it's been a fair bit now and I have yet to see something truly remarkable come out of this
I hope this helps manifest a real portal but yeah JetBlue may disagree (i.e. unmanifest)
Pay more for less. It's that simple.
Desktop app is coming soon and self-host option is already available as a part of Extended License.

I have no plans to open source it at the moment, but it would be great to come up with something like 'open build' for cases like that.
Americans & Brits making fun of each other through a portal would be pretty neat haha
fair use applies when there's a copyright infringement to defend against, but the cc license on stackoverflow clearly permits scraping the content
> Anarchists are simply people who believe human beings are capable of behaving in a reasonable fashion without having to be forced to.

This is an empirical question. It seems to me that even if a good-sized majority of the population is capable of living in this fashion, a small minority is absolutely not. (And this obviously is not due to "deprivation" or "inequality", unless you believe that white collar criminals are "deprived.") A small percentage of people can quite easily ruin things for everyone else, e.g. in NYC where a third of all shoplifting arrests were for 327 people (https://www.nytimes.com/2023/04/15/nyregion/shoplifting-arre...).
> Our research shows this process – mimicking human cognitive process of forming complete sentences in mind before articulating word by word

This is not how I work. Is there something wrong with me?
It doesn't say what technology is used, does it? Could be using wifi, or cell networks.
They are supposed to be tasty eating.
I made that as a joke in javascript 8 years ago. Not using LLM, but using javascript proxies so that if a function doesn't exist it tries to implement it runtime based on the name of the function using a sql like grammar. I really hope to not see something like that in real use, heh.

https://github.com/Matsemann/Declaraoids

Maybe I should make a LLM version of this.
At least with stack overflow you can be fairly confident the code at least works correctly in the context it was provided in if it has a lot of votes.
0.5lb of crap in a 50lb adaptive interface; it's the exceptionally swift method.
Can't wait to see something like this merged into ollama (I'm sure there would be plenty of people fine-tuning models for it).
Just finished another boring run and asked myself "Why do I do this again?" then saw the news - dead at 61 due to heart attack. RIP. Scheduling my next boring run.
took a bit of trial and error to have "G" write a local server with live reload.
it works and all security issues were taken care of.

faith can be replaced by iterating until you don't need to trust anymore.

"what security issues might become an issue?"
"how can i test that fix?"
"explain this part of the code."
"browse the net for security issues for this part."

"how does lisp use brackets and indentation?"
"use what you just taught me and fix your mistakes in your translation
of these 12 lines of python code."
I would have said "cold war era" because much of the mystique here comes from the US intelligence spin, much if not most of this hysteria about soviet junk science is inferred from publications and leaks. It's not evident that there is any science here, soviet or otherwise.

I have no doubt political distortions inside the USSR fuelled some whacky cult behaviour in scientists, but it would be a mistake to class the entire problem as "soviet" when during the same tineframe the US funded blue sky research into PSI, and attempts to weaponise drug induced psychosis.

I don't mean this as whataboutery: the intelligence take on things severely distorted the perception both ways of what was needed, useful and plausible.
> If anything, he has thus far just helped Apple set useful precedents.

Yes, the forcing Apple to allow external billing platforms has been a very useful precedent.