skysight-inc/HackerNews huggingface dataset:
Regarding the dispute of whether Ada wrote the first program.

On a related topic, I believe that credit for the invention of hashing should go to certain scholars in China.

The invention of a data structure and algorithm must not be confused with its first implementation in electronic computers.

For at least a century before the computing revolution, hashing was used in China to find characters in dictionaries.

First, a character is examined, and reduced to a numeric code according to steps that constitute a hashing function. For instance the Four Corner Code.

The code is then used to find a page or section of the dictionary by direct access: the mapping between codes and dictionary sections is straightforward. The character is then found within a small bucket of collisions by a linear search.
I'm always curious with the examples in these announcements, how close is the training data to the sample prompts? And how much of the prompt is important or ends up ignored in the result?

The prompt for the figure running through glowing threads seems to contain a lot of detail that doesn't show up in the video.

In the first example (close-up of DJ), the last line about her captivating presence and the power of music I guess should give the video a "vibe" (compared to prescriptively describing the video). I wonder how the result changes if you leave it out?

Cynically I think that it's a leading statement there for the reader rather than the model. Like now that you mention it, her presence _is_ captivating! Wow!
YouTube shorts, worse app, same addiction, trashy content promoted by their banal algorithm, completely fine

I even prefer long form YouTube, which is also addictive! I open more tabs every day than I can possibly watch in a week

And all social media apps suffer from this (addiction, clickbait title/thumbnails, low quality fluff, propaganda, censorship...)

Even Netflix, but we call it "binge", instead of addiction, so that's also fine

Progress should be made in interesting relevant content discovery, and addiction prevention

But trying to beat China at their own game seems like a shot in the foot
Is the same thing. The agreement is giving it Wi-Fi access. If you say no, you deny Wi-Fi.
> because we'd have seen the writing on the wall and invested in Nvidia before the AI craze reached its current fever pitch.

I did this when I saw the first stable diffusion AI titties. So far up over 10x.

If I had a nickel for every tech that takes off once porn finds its way to it, I wouldn't be counting in nickels.
I am not a software engineer and I made working stock charting software with react/python/typescript in April 2023 when chatGPT4 came out, without really knowing typescript almost at all. Of course, after awhile it was impossible to update/add anything and basically fell apart because I don't know what I am doing.

That is going to be 2 years ago before you know it. Sonnet is a better at using more obscure python libraries but beyond that the improvement over chatgpt4 is not that much.

I never tried chatGPT4 with Julia or R but the current models are pretty bad with both.

Personally, I think OpenAI made a brilliant move to release 3.5 and then 4 a few months later. It made it feel like AGI was just around the corner at that pace.

Imagine what people would have thought in April 2023 if you told them that in December 2024 there would be a $200 a month model.

I waited forever for Sora and it is complete garbage. OpenAI was crafting this narrative about putting Hollywood out of business when in reality these video models are nearly useless for anything much more than social media posts about how great the models are.

It is all besides the point anyway. The way to future proof yourself is to be intellectually curious and constantly learning, no matter what field you are in or what you are doing. Probably have to reinvent your career a few times if you want to or not too.
I honestly don't try to view this kind of stuff on mobile. Seems more of a distraction than anything else to have it on my phone. Try to keep work at the desk and all
> is getting progressively better

Is it still getting better? My understanding is that we're already training them on all of the publicly available code in existence, and we're running in to scaling walls with bigger models.
I have no Roku stick, but reviews mention that BluRay players and Apple TV work fine.
I think this is just like intel does.

Runs fast? i9. slower? i7. missing cores? i5 slowest? i3

perfect chips probably not only have all the cores working, they also run at low voltages so don't get as hot.

I wonder if they can figure out what parts of the chip run at what speeds, and disable the ones that run slow/hot

I'm pretty sure gpus are overclocked by vendors, so there must be some sort of binning either by the vendors or they buy binned parts. I'll bet if parts could go faster, you would have an ASUS/MSI/etc 4090-2x-max-$$$$

https://www.tomshardware.com/reviews/glossary-binning-defini...
They most insightful thing here would have been to learn how those traders survived, adapted, or moved on.

It's possible everyone just stops hiring new folks and lets the incumbents automate it. Or it's possible they all washed cars the rest of their careers.
I'm such a baby programmer that Advent of Code is still challenging for me, so it's fascinating to see people taking it and exploring all these new languages and platforms. I found (and subsequently lost) someone who had started creating little 8-bit style visualizations from the data outputs.

I do feel like programmers are a bit of a masochistic lot when it comes to AoC, though.

> The logical way to output the solution for the AoC problem is to create sprites for every digit, upload them to video memory, and arrange the sprites on screen. I'm not going to do that and instead I will use Display Mode 2...
I Agree. However in many cases the cat is out of the bag in terms of juniors using LLMs, it's almost ubiquitous these days
.
> Secondly, LLMs are objectively useful for coding now.

No, they're subjectively useful for coding in the view of some people. I find them useless for coding. If they were objectively useful, it would be impossible for me to find them useless because that is what objectivity means.
The question is, how long would it take you to get as far as this chat does when starting from scratch?

https://chatgpt.com/share/6760c3b3-bae8-8009-8744-c25d5602bf...
We had a developer write his own System.out.println in Java. But it wasn't because he didn't like the built-in System.out.println, it was because he didn't know it existed. He had a PhD and was supposedly a senior developer. He didn't last very long.
My sister and I were talking about this recently (at a funeral in our family). We're in our 40s, and people older than us had largely been to a dozen funerals or more by their teenage years, while people younger than us often went to their first in their 20s or later (or perhaps when their own parents or grandparents died and to no others). We have not-entirely-negative memories of growing up going to funerals, because that's where we saw and caught up with extended family, so funerals are... well, not exactly easy, but they're not traumatic in their own right. For some of our slightly younger friends, though, even attending the wake and funeral in our family, they were having a harder time than we were. And almost none of our cousins brought their kids. For the author, six by 16 probably was a lot more than any of her friends, yes.

It's an interesting shift. A loss, I think.
I frankly consider far more likely that Harris have never worked in a McDonalds. All her campaing was full of dumb astro-turfing, this would just fit the general bs theme.
The faulty premise I see here is that squishy bodies will even be relevant as we climb the scale. Exo-suits are already a thing that can make us stronger in spite of muscle atrophy. And further up the scale, in-silico intelligence will replace the need for a highly inefficient body to power our highly inefficient brains. We could even down-throttle our consciousness to make journeys to distant stars. The future will be so abstract to us that we can’t even fathom what humanity will have become.
I agree, using LLMs the right way and SO the wrong way is definitely possible, but it's easier to use LLMs the wrong way and just blindly without understanding. A diligent person would use it as a learning tool for sure.
Facebook has been doing for years a basic alt-text generation (not the best but better than nothing) eg: May be an image of 4 people, people smiling and text
This is a first step towards "the holodeck". You describe a scene and it exists. Imagine you could jump in and interact with it. That seems like something that could happen in 10-20 years.
I love this article so much. Demystified so much about how watches work.
I recall reading before that as yields improved over process maturation Intel has ended up binning faster passing chips as lower SKUs just to meet demand.
Not quite my line of thinking but appreciate the reply. There's
definitely an interesting debate to be had there about the difference
between "legalizing vigilantism" and "not protecting criminals" (one
that's been done to death in "hack back" debates).

It gets messy because, by definition the moment you remove the laws,
the parties cease to be criminals... hence my Bushism "wrongdoers"
(can't quite bring myself to say evil-doers :)

One hopes that "criminals" without explicit legal protection
become disinclined to act, rather than become victims
themselves. Hence my allusion to "nature", as in "Natural Law".

"Might is right" is no good situation either. But I feel there's a time and
place for tactical selective removal of protectionism (and I am thinking
giant corporations here) to re-balance things.

As a tepid example (not really relevant to this thread), keep copyright laws in
place but only allow individuals to enforce them.
Axum-Style Magic Handler Functions in Go
Photo log:

https://imgur.com/a/making-mechanical-watch-VmYL7qF

This part blew my mind:

"All the screws were hand made."

This really is a watch made from scratch.
As an alternative to host network mode, you can give the container a dedicated IP on your network using the macvlan driver.
"until eventually LLMs will become so good, that senior people won't be needed any more"

You are assuming AGI will come eventually.

I assume eventually the earth will be consumed by the sun, but I am equally less worried as I don't see it as a near future.

I am still regular dissapointed, when I try out the newest hyped model. They usually fail my tasks and require lots of manual labour.

So if that gets significantly better, I can see them replacing junior devs. But without understanding, they cannot replace a programmer for any serious task. But they maybe enable more people to become good enough programmers for their simple task. So less demand for less skilled devs indeed.

My solution - the same as before - improve my skills and understanding.
> I don’t want my last act on Earth to be inconveniencing people.

There’s no way around that. Death inconveniences the living. Your death will probably make a mess of some kind. Your dead body will have to be buried or cremated, or it will be an even bigger inconvenience. Your effects will have to be split up among the living in some way.

And if you find funerals to be an inconvenience, don’t go. But don’t kid yourself into thinking that everyone will be happier if you insist on no funeral. Many of us want to gather with everyone else who cared about the person who died, and it feels strange and wrong to be denied the opportunity. Funerals are for the living anyway. Let the living make their own decisions about what events they want to hold and attend.
Huh, wild. To me it's gross in either direction. Different strokes I guess.
> 20,000 line script

Dude.
This also sounds similar to Goodhart's Law which states that “when a measure becomes a target, it ceases to be a good measure.”

https://en.m.wikipedia.org/wiki/Goodhart%27s_law
It’s probably a bridge too far, but at this point, Amazon should be scanning for PI and other key indicators of sensitive data and proactively disabling public access for these buckets (if only from a reputational risk perspective) instead of waiting for researchers to find through hunting and scanning, and then reporting to the media.
And... most of the important projects are still using proto2 and there is no realistic way to do interop between those two formats. IIRC, you cannot use proto2 enum in proto3 for some obscure technical reason! This creates a backsliding issue; you cannot migrate old protos with thousands of different messages, fields and enums where new proto2 messages to use them are added everyday.

This is an important distinction from the proto1->proto2 migration, which was in a much better compatibility situation yet still took years to complete. AFAIK, this is the main reason why the proto team decided to create a superset approach (edition) so migration can be handled as a flag at each message level.
> Ground-based surface radars can work (somehow) with just no Doppler info
> you can also somehow build a 3D map or at least map surface features/masks

The problem is this case was that there was nothing to reflect off of, except for a planar field of sand. You can't know how fast you're moving over a bare plane, without a feature being on that plane, that you can observe.
Are you sure you read the post
you’re quoting correctly? They’re talking about companies that don’t have custom software at all, and cobble together half-working buggy spreadsheets and call the problem solved. Then the developers (either FT or contract) have to come in and build the tool that kills the spreadsheeet, once it gets too unwieldy.

I have seen the above story play out literally dozens of times in my career.
People not having time to train their bodies higher up the scale is also just due to economics.
The MPLA (not pla) does not absorb the water vapor, but it condenses on the plastic and then evaporates. There is also the option of sorbent, which grabs the water vapor and then releases it with each cycle, before condensation occurs, getting higher efficiency.

The material in the whispercomfort is IIRC a fiberglass paper. It can only transfer liquid water, not solid water, and not vapor, effectively. The water condenses, whets the paper, then evaporates out the other side. It's a reasonable approach but does not work well in very low temperatures, and also the condensation process implies certain limits to efficiency, same as a non sorbent coated regenerative heat exchanger. The water doesn't start to condense until 100% RH, so it is 100% when it leaves the exchanger, while the air coming in is lower than that, usually. Thus water is lost.
Chrystia Freeland Resigns, Threatening Trudeau's Hold on Power
> AMD has inexplicably decided not to invest in software

Perhaps they were distracted by dismantling Intel's CPU hegemony? I wouldn't fault them for that, fighting 2 Goliaths simultaneously isn't a sound strategy.
"Catch a guillotine"? (!!)

Collapsing the birthrate?

Human welfare?

We're talking about the App Store my friend. You need to take it easy on the ideology.
It doesn't matter that the threats have the additional qualifier of being mostly exaggerated. They're still plainly threats, by every accepted definition of the term.

And he absolutely does have the capacity to use his nukes. It'd be stupid and plainly irrational for him to do so. One can safely say it's objectively unlikely that he will.

But that in no way means he doesn't have the capacity.
some ideas from my own work:

- a good LIMS (Laboratory Information Management System) that incorporates bioinformatics results. LIMS come from a pure lab, benchwork background, and rarely support the inclusion of bioinformatics analyses on samples included in the system. I have yet to see a lab that uses an off-the-shelf LIMS unmodified - they never do what they say they do. (And the amount of labs running on something built on age-old software still in use is... horrific. I know one US lab running some abomination built on Filemaker Pro)

- Software to manage grants. Who is being owed what, what are the milestones, who's looking after this, who are the contact persons, what are the milestones and when to remind, due diligence on potential partners etc. I worked for a grant-giving body and they came up with a weird mix of PowerBI and a pile of Excel sheets and PDFs.

- A thing that lets you catalogue Jupyter notebooks and Rstudio projects. I'm drowning in various projects from various data scientists and there's no nice way to centrally catalogue all those file lumps - 'there was this one function in this one project.... let's grep a bit' can be replaced by a central findable, searchable, taggable repository of data science projects.
>Apparently also their state in the present?

I find a number of models fantastically useful in the present. I'm not sure why your one day evaluation of them is relevant to how I utilize them.

It was inevitable that someone was going to do the "but I insist upon writing in some fringe language" bit (when the "my project and domain is too unique" bit faltered), but many models actually have excellent F# abilities. Eh.
> For instance: we use SaaS now instead of installing software locally.

If anything, I feel like this argument works against you. If people are willing to replace locally installed software with shitty web "apps" that barely compare, why do you think they won't be willing to replace good programmers with LLMs doing a bad job simply because it's trendy?
I don't know. I believe memory bandwidth matters, and I got the impression that the M4 series isn't yet as good as the M2 was on that front, but I'm half-remembering things I've heard here.
Tech Sounds That No Longer Exist (2012)
My price is for a pair, remember, not one. And those pioneer things don't work very well, poor flow and efficiency unfortunately. They claim high efficiency but it's only at the lowest flow rates and not the average for the cycle, only at the beginning of the cycle. There is one company that keeps emailing me trying to sell me units wholesale, I keep telling them to send me actual test data and then I might buy some (for testing), and they never do.
FWIW, CASE developers knew pretty early on that the separate artifacts diverging was a problem, or even the problem, and a lot of work was on trying to solve exactly that.

Approaches included having single source for any given semantics, and doing various kinds of syncing between the models.

Personally, I went to grad school intending to finally "solve" this, but got more interested in combining AI and HCI for non-software-engineering problems. :)
I believe we live in hyper-optimized times. We are at the stage of capitalism where every single crumb is accounted for, every single blueberry on a muffin is tallied, and it's taking the joy out of life and of society.

Even McDonald's is affected. It seemed a lot more joyful when I was younger and it was certainly more staffed. People are managing to create community out of a spaces that are getting more and more sterile, transactional, and minimalist.
Two thoughts:

1. Similar to autonomous driving going from 90-99% reliability can take longer than 0-90%.

2. You can now use LLMs and public clouds to abstract away a lot skills that you don't have (managing compute clusters, building iOS and Android apps, etc.). So you can start your 3 person company and do things that previously required 100s of people.

IMHO LLMs and cloud computing are very similar where you need a lot of money to build an offering so perhaps only a few big players are going to survive.
Impressive but the page crashed chrome on my iPad!
Right. Even George Daniels bought mainsprings and hairsprings (along with sapphire crystals and dial engraving, probably rose engine work?) for his 25 handmade watches.

> In total he (George Daniels) created 25 handmade watches which were completely made by himself (23 pocket watches and 2 wristwatches) other than the crystal, the mainspring, the engraving of the dials and the hairspring. One pocket watch remains incomplete and is not included in this total number of pocket watches produced by George Daniels.

https://en.m.wikipedia.org/wiki/George_Daniels_(watchmaker)
The mass of the actual meatsacks inside the spaceship is barely anything compared to the rest of it. A true step forward would be to rengineer ourselves to be way smaller. Santi-like.
> I would think most common-sense reforms would say that these rules should be more specific in intent and targeting only those institutions clearing a specific revenue threshold or user count, but even that could be exploited by companies with vast legal teams creating new LLCs for every thin sliver of services offered to wiggle around such guardrails, or scriptkiddies creating millions of bot accounts with a zero-day to trigger compliance requirements.

This is what judges are for. A human judge can understand that the threshold is intended to apply across the parent company when there is shared ownership, and that bot accounts aren't real users. You only have to go back and fix it if they get it wrong.

> The only reason we “lost” is because our opponent convinced us that any regulation is bad. This law is awful and nakedly assaults indietech while protecting big tech, but we shouldn’t give up trying to untangle this mess and regulate it properly.

The people who passed this law didn't do so by arguing that any regulation is bad. The reason you lost is that your regulators are captured by the incumbents, and when that's the case any regulation is bad, because any regulation that passes under that circumstance will be the one that benefits the incumbents.
Puppet Will Be Forked
Have you looked at the user_version pragma? I've been able to avoid use of special metadata tables with this.
In a functional society we should not have to run most of our transactions through private companies giving them a piece of everything. The technology is obsolete.
Yes, agreed. My dad said he didn't want a wake or funeral---I think he didn't want to put anyone out---but we overruled him, because the services weren't for him. Once he thought about that, he agreed (and gave some input on their planning, which was interesting). In the end it brought together a lot of people who hadn't seen each other in a very long time, which I appreciated, and I got to hear some stories I'd never heard before, which I also appreciated, and it made the whole process just feel a lot easier to deal with.
Yeah, the main pitfall is that this has no chance of working.
Marc Andreessen describes Elon Musk's day to day activities quite well in the video below.

It's pretty astonishing (scroll down):

https://x.com/StartupArchive_/status/1868639726275875031
Debian used to have a package called 'debirf' that let you do this too.

https://tracker.debian.org/pkg/debirf
https://web.archive.org/web/20181231232620/http://cmrg.fifth...
in my opinion, the problem here is optimization. It is not difficult to make a courier service that will work like clockwork. It is difficult to make one where illiterate couriers will deliver parcels on time for a minimum wage, and the price will be comparable with competitors. The processes are simplified until the buyers of your product or service start suing you.
Behold the failure to consider second order consequences when legislating rules.
I believe that's night time!
They could have paid with a cash, crypto, store credit. You are trying to salami slice the point being made.
Might be time for a new iPad. My old-school iPad Air has 2gb of memory and is an absolute hog when loading content-heavy websites.