skysight-inc/HackerNews huggingface dataset:
Yea, I am. I think minimizing the data that can legally be retained about people is the best policy both on principle and practicality here. Yes, there will always be black markets as long as there are incentives. But it's much harder to prosecute mishandling than retaining it in the first place
single use shopping bags really are shocking
I think this was the subtextual point of article: estrangement is the expected outcome when narcissism is involved (regardless of who's narcissism it is).
I think elsewhere it’s better for the average person, but worse for a substantial minority of people. There’s probably a relatively small number of people in abusive situations that should cut contact with their families. And in a more traditional society they would be stuck in dangerous situations. But there’s probably a much larger number of people who cut-off contact over bridgeable differences, who would make a healthier choice in a society where they faced social pressure to do so.
> Because in the real world burning plastic for energy reduces CO2 emissions.

Compared to what? Over what period? Consider this at the extremes. Instead of investing in any photovoltaic, 100% of PV demand should be shifted to burning landfilled plastics. Would you argue that makes sense?
The original (ca. 1988) name of the OS/400 SQL facility was SQL/400.

DB2 was originally an unrelated RDBMS that ran on IBM's MVS mainframe OS, announced in 1983.

Several years later, IBM expanded the use of the DB2 name to refer to a variety of separately-developed RDBMS products (the original DB2 for MVS, an older mainframe database that ran on DOS/VSE and VM/CMS, the AS/400 database, and the AIX RDBMS that eventually became DB2 for Linux, UNIX, and Windows).
This is great. Just yesterday I was wondering how exactly transformers/attention and LLMs work. I'd worked through how back-propagation works in a deep RNN a long while ago and thought it would be interesting to see the rest.
This is unrelated but I've been noticing recently a great deal of comments both on HN and Reddit starting with "Huh?"

Is this a developing slang or have I just been under a rock and only noticed it now?
> For those who are becoming far more productive than they previously were, learning new skills, and building the next generation of companies.. that same time has been life changing.

As someone who is very much in this camp, I feel that life changing is a bit of an exaggeration for my own experience.

GitHub Copilot is a really good autocomplete. Stable Diffusion and company were a fun toy for a while. Perplexity.ai is pretty good at doing what Google could do before the enormous wave of AI junk made search completely intractible. But otherwise... life goes on. I got a few better tools out of it, but the chat models have been reliably useless for my professional work and I therefore don't trust them much for learning something new (see Gell-Mann amnesia [0]).

And I'm not someone with my head in the sand—I fine tuned GPT-2 back before anything LLM-based had hit the tech mainstream, much less the general public. I was one of the first to sign up for the Copilot Beta, and I run Ollama locally with a bunch of different models that I've tried out on several side projects. I have access to both Anthropic and OpenAI models at work and regularly break them out to try again... it just never actually helps.

People have all these amazing stories of all the productivity they gain by using these models, but at their best I always come away feeling like I spent a few minutes coaching a junior developer through a problem without actually having taught anyone anything. I'm left wondering if I'm somehow doing it wrong or if all the stories of amazing results are coming from juniors who don't realize the model isn't very much better at this than they are.

[0] https://en.m.wikipedia.org/wiki/Michael_Crichton#GellMannAmn...
The more tokens spent on getting a result, the more likely the result is to be accurate.

“If it walks like a duck, quacks like a duck” etc
> will be mined in the future

There's exactly no evidence to assume anyone will have a reason to dig up and use our plastics in the future. Imagining a hypothetical reason someone would want to do this is unproductive and drives people to make decisions based entirely on a fiction that their waste might be useful to future generations. In fact, we already know that plastics degrade and break down: unlike metals and glass (which can already be productively reused and recycled) plastic becomes less useful with time.
Alexandre de Moraes whims are now considered the "rules of the country", how quickly Brazil turned into a dictatorship.
You assume that the salary is what it costs for the company to have an employee. You need to at least double that.

There is overhead for the person itself (employer subsidized healthcare, office space, equipment) and there is overhead within the organization. Like a secretary and accounting departments who cannot be billed to a client. And management layers of course…

Most likely the 80k are enough to cover one person-year for a consulting agency in Eastern Europe.

That said, the new logo is atrocious.
While I didn't never specifically optimize it for the size (unlike some libraries I do), my very old qr.js library [1] seems to be smaller than that, less than 9 KB minified and 4 KB gzipped in my brief testing.

I should note that qr.js never supported the correct Kanji encoding and optimal encoding based on dynamic programming, but otherwise it is functionally complete and I think it can't get much larger than that. There are lots of rooms to cut from there and I will say 5 KB is a fair estimate for the minified size after modest but correctly guided size optimization.

[1] https://github.com/lifthrasiir/qr.js (predates the modern JS, but surely more popular than LeanQR I believe)
Django’s ORM is the first one that I ever spent a lot of time with. Throughout my career I’ve interacted with other ORMs from time to time. It wasn’t until I’d done that, that I realised, even though it’s not perfect, how fantastic the Django ORM is. I thought they’d all be that good, but no.

I’ve read a lot of criticisms of ORMs, as I’m sure everyone else has. Some of them are certainly valid criticisms that are immovable and just inherent in what an ORM tries to do. Some of them just seem to be caused by not very many ORMs being good, and the writer not having used one of the better ones.
At first, I thought this was a good overlooked point, but after digging into it, there isn’t a net reduction.

According to [1], the gCO2e/kWh for the relevant energy sources are:
Coal 850g
Natural gas 385g
Plastic incineration 512g

According to [2], in the US in 2023, 43.1% of electricity was from natural gas and 16.2% from coal. Based on that, the average fossil fuel kWh resulted in 512 gCO2e.

So, if you substitute the average fossil fuel with burning plastic, there is NO net improvement in CO2 emissions per kWh. Against just natural gas, burning plastic actually produces 33% more gCO2e.

I think the above approach is the correct way to evaluate this. Basically, to get your kWh from nonrenewable sources, you are still burning something and have to choose one thing or another to be burned. Choosing plastic allows you to defer burning your fossil fuel (or, in other words, gives you more total fuel to burn), but it doesn’t help climate change efforts.

[1] https://www.clientearth.org/media/1h2nalrh/greenhouse-gas-an... (page 29)
[2] https://www.eia.gov/energyexplained/electricity/electricity-...
Will Oprah screw up the AI story?

Quite possibly, but likely not as bad as this article.

Complete clickbait title, assumes that the author's hobby horses are the most important thing in the world, bizarrely argues that crypto hype is an "attack on labour".
Hotels should maybe have cameras on their parking lots.
This is actually what we should be doing until we can recycle with positive ROI.
How do you patch and update your host machines? You need to roll to a backup host, have it take over as primary, patch and reboot your DB host, and then roll back.

I would much rather have an automated process for doing that. Kubernetes provides a framework for allowing that to happen.
This was the question:

> Is there any indication that this would be cheaper than just paying the $17M in taxes?

You wrote a lot of words besides the point, and the only thing that is on point is:

> I assume that the math works out

Maybe it does, maybe it doesn't. We don't know. You don't know, and you assuming it does proves nothing and is not a useful argument.
I’m most excited about the Rust-ish types in a garbage collected language. Aside from the lack of compiling to static binaries, this fills an empty void for me between Go and Rustz
Universities, cities, regions and countries do have PR departments.

Arguably the public image of a university is its most important asset. Because that attracts the best students, researchers and third party funding (public and private).
Where "moderation" means something like 15-30 minutes[1].

[1] https://www.webmd.com/a-to-z-guides/ss/slideshow-sunlight-he...
Split brain experiments show there's a good amount of evidence that humans also largely operate in this way.
Reading this on my s8+ that's still working perfectly. The battery doesn't last a full day but is still fine to keep the phone as a daily driver. I don't have Android updates anymore (which I now consider a plus, there's nothing exciting about new Android updates) and the only apps that I would use and can't install are Workday and Slack - not a huge loss. I don't have 5G but 4G+ is fine - on WiFi most of the time. It's really day and night versus my past experience with the Nexus 4/Nexus 6P where almost every day you had to debug something or fight bootloops. I'll probably get the next iPhone in a few weeks but I'm glad I was able to keep this phone for that long. The worst things were Bixby and the curved display. The best thing was definity the camera.
I didn't use the word "think" in the human sense of the word, or even in the consciousness/qualia sense of the word. I of course only meant inference (Matrix multiplications)

What I like to say however is that LLMs are doing genuine "reasoning"; and what the emergent "intelligent" behavior of LLMs has proven to mankind is that "reasoning" and "consciousness/qualia" are separable things (not identical), and I think as recently as 2021 we didn't really know/expect that to be the case.
Just ask it to use pyodide as a script tag:
https://claude.site/artifacts/4aa202ca-b620-4636-8364-3c7bf6...
The house number you saw is actually part of the Lucas sequence. it’s related to and is a good approximation at large numbers of the Fibonacci but at small numbers becomes distorted.

https://en.m.wikipedia.org/wiki/Lucas_number
With semi apologies I find tablemag to be vacuous empty & semi annoying. Can rarely find even aspects of their submissions to recommend or note. I tried to engage but not seeing much reward.
You are right, facebook still allows downloads, but Whatsapp, instagram, stories that kind of things block downloads
To add to that, NVIDIA tried throwing OEMs under the bus when the issues cropped up. It wasn’t just Apple who were affected.

Then a few years later they made up but NVIDIA didn’t want to partner on drivers, so they had another rift
Great question. We rarely rely on shared utility classes these days. Historically we'd end up going the @apply route, but lately we just add a new style to the root-level css file and call it a day. We may prefix it with "@layer" so that it gets tree-shaken, but that's about it.

I've found that in component-driven UI, the need for these kinds of utility classes becomes less and less necessary. The utility CSS may be defined in the component, and the component is ultimately what gets reused.

Could you elaborate more on the reason for your interest? I've used Tailwind to implement several well-defined design languages, and always had great success. In fact, compared to other design systems, Material for example, I found it to be far simpler to manage over time.
You are forgetting the energy cost in pulling the fuel out of the ground.

It's actually quite a high amount! With plastic you get that for free.
James Bjorken, 90, Dies; Physicist Who Helped Prove That Quarks Exist
GPT-4o replaced GPT-4, not 3.5, so it’s not “a huge step above” it, at least not subjectively. It is much faster though, so at least it’s got that going.

The voice thing is a potential killer feature though, I can’t wait to try it, and to have my kids use it.
Google has addressed this. They offer GCP as an AWs alternate.

They’d rather offer their clients what they need than push them on to their own products.
https://doi.org/10.1038/s41562-023-01723-5
Unaccountably correct is not a frequent quality I see in humans
Compared to what exists today, over the time period of right now.

Do you only work in extremes? Either 100% plastic, or 100% pv?

There is fuel that was pulled out of the ground, we can use it, or we can spend even more energy to pull even more fuel out of the ground and then burn that.

Which is better?
I spoke all that into my phone so it kind of sort of makes sense but you know what I mean if if covid is some sort of metaphor for like people are being f*** with by assholes who use a bunch of drugs and like ways to f** with people until the people being f*** with just like tell on them repeatedly can someone tell me that too cuz at this point that's the situation I'm in and I'd rather just know
There's a quote I read somewhere once that I have struggled since to find the original source: "if something is 100% correct, it can't be called intelligence"

edit: hope the source is not this one and thus originally from Rumsfeld, lol https://x.com/colbertlateshow/status/691851573031505920
I used to volunteer weekends cleaning remote beaches in California, and virtually all the plastic trash was from asia and/or asian ships (from the text and printing). US people using plastic is a very small problem in comparison.
> I think alluding to modern day problems

The quoted part is not an allusion. Rather it's stating plainly that "rape is hard to prosecute", which is an opinion stated as fact, and it further opines that too many times the "onus of proof" falls on the victim of the alleged assault.

> is an appropriate level of exposition.

It's not exposition either. Rather than conveying information on the stated subject matter (a medieval practice), we are given opinions on something that had no bearing on it at all.

The last two paragraphs are dedicated to circling back to the modern day. It's not exposition, not even just a comparison, it's the lesson the author wanted to teach.
It's the dotcom boom all over again. Right now the webvans and pets.com of the world are getting insane valuations just by using a .ai tld. When the hubbub dies and the froufrou wash away, the googles, amazons, facebooks that know what they're doing will quietly emerge. Too many hyper-funded startups that are little more than a thin wrapper over foundational LLMs, with dubious usefulness.
The chain of thought that is apparent in the conversation is what's really interesting and what OpenAI exploits. OpenAI does not have to evaluate the quality because the conversation itself is already valuable. Whether the conversation was good or bad can easily be inferred from the back-and-forth. That's the key: they just have to take all those conversations and fine-tune their models with them.
I normally doubt these kinds of articles, but you delivered.
Life changing seems fair, I'm making changes to my life assuming that programming jobs are about to get cutthroat competitive and then disappear. We've got something that is about as good as a junior developer in ChatGPT, much cheaper to employ for a month and it's competence is improving. It may not learn anything in a single session but at a higher level the rate of improvement of these models seems to be much faster than a human can manage. A human couldn't possibly learn as much as ChatGPT has in the time it has taken from founding OpenAI to now, and hardware improvement doesn't look like it'll cap out any time soon.

We've got all these people in a state of delusion that somehow the job of a developer isn't glorified autocomplete of what someone else prompts them with. We can't be sure what the speed is that it will happen, but the writing is on the wall that AI will obsolete software development roles as they currently exist.
There is a lot more software now, but a big portion of that is in languages that have an internal time representation larger than 32 bits.

As others suggest, I'm expecting a lot of the issues to be embedded code.
and then when they search in Linkedin or Facebook and your name pops up?

Thats my point. You have to actively block or hide from them and/or explicitly tell them no contact.

In the past you didn't have to actively hide because even if they knew where you lived and your phone number it was too expensive to do anything other than send the odd letter.
The limitations of x86 perf. counters for deterministic replay have been known far earlier than 2021; in industry around 2005 or so. It would be nice if there were more efficient hardware support for determinism, especially multi-core.
I have no idea what the f** that's supposed to mean but I am having a homeless drop feathers wherever I Go and then referencing vert that's spelled v u r t by Jeff noon which isn't that good by the way it's just one of these books that's supposed to be like can we out do Philip k dick at being Philip k dick so if this is a thing that it's like if this is a joke somehow I'm just so f*** tired of it I mean I've I've been drugged at least once today most likely no I've been drunk at least twice today probably more than that and I just heard all the time so I'm just so f*** tired of the dumb f*** you know what I'm just I just tired of it
Infobip truly is unhinged. Having interns post about why ChatGPT is bad, while also making the peerlessnetwork.io portal slow as a dog, and going off on anyone who makes the effort to API integrate with them.

Someday they might find a viable business model, but buying Peerless Networks, building slow, unreliable tools to interact with their infrastructure, and not owning up to the poor architectural decisions (under-resourced Python webservers) that led them there is bad business.
TL;DR - It's a ridiculously effective way to live a lavish life with minimal taxes if you have large assets.

When this whole "tax unrealized gains" thing first came up I first thought it was absurd...but then I learned how it is abused in ways like this and I have to say I am on board with it if its a way to shut down this loophole.

I think taxing unrealized gains for Joe Schmo sitting on $100K in NVDA isn't going to do any good, but it's also clear there is a real problem here that the ultra wealthy are taking advantage of. I'm not quite sure how you do it fairly, but something has to change.
Literally from today...

https://www.usatoday.com/story/news/nation/2024/08/31/how-lo...
With the exception of kernel patches (and even then, tools like ksplice exist), you generally do not have to restart the OS to apply patches.

If the DB itself is being patched, then yes, you’ll restart the DB process, but it’s also not difficult to automate failover.
IMO, it’s basically a generalist vs a specialist. LLMs are the generalist. They’re amazing at a wide variety of things, but unable to go deep.

The “wrappers” are the specialists. They’re doing the hard work of product discovery. This takes time, money, and a lot of trial and error to get it exactly right.
> I'm left wondering if I'm somehow doing it wrong or if all the stories of amazing results are coming from juniors who don't realize the model isn't very much better at this than they are.

And here I am, being impressed that SOTA AI passes the Turing programming test for a human junior programmer(using your own interpretation of the skill levels involved). Let's at least appreciate that 10 years ago this level of computer intellect was science fiction. And while I'm very much a "junior developer" (not my day job and I do have a BSCS), I can still use AI productively for my personal backlog of things I'd like to accomplish, and it's been pretty helpful for me notwithstanding its limitations.
> Is that level of snark necessary or helpful to anyone? I think a far more valuable and helpful response would be to point out why these are not globular clusters. Either you don't know (why reply at all?), or you deliberately chose to withhold that (again: why reply at all?).

I agree with you, that the explanation why that can't be globular clusters would be much more helpful, but if one wants to get it, they'd better do not say things like "globular clusters are not even mentioned in that article, which is weird." People see such statements and answer to them.

When you're asking a question you need to be focused on your question, a little slip can lead to results exactly as we see. If I was asking that question, I would mention my disappointment with the lack of mention of globular clusters, but I wouldn't call the article weird because of this, I'd rather mention my limited knowledge of astronomy and my curiosity and my hunger for knowledge, and I make it clear that these are the reasons of my disappointment, not the bad work of the authors of the article.
The licensed model failed. I own multiple gas-station Lighting cables with no data, only (5w) power. Ultimately everyone converges on the "fuck it, what's the cheapest thing on Amazon" mindset and licensing doesn't help.
The video should not be stored.

Have a 24 hour wiping cycle
See also: https://github.com/streetcomplete/StreetComplete
Is that going to happen? Or are the limits of LLM technology being reached?

There are basic techniques for hallucination detection being developed.[1] But they're for "closed domain question answering", which seems to be what a general search engine could find.
Techniques for open-ended question answering seem to mostly involve asking the same question multiple times, perhaps in different ways, and comparing the results.[2] This sort of works, but fails when the question legitimately has multiple equally good answers.

Most of these are black-box approaches - they're not going inside the LLM.

(I'm not saying that better AI is impossible. Merely that this particular approach may be hitting its limit.)

[1] https://www.kolena.com/blog/how-to-perform-hallucination-det...

[2] https://www.nature.com/articles/s41586-024-07421-0
I suspect gp means thinking in a way that is different from being able to reason.

The ability to use any manner of inference or logic to arrive at correct answers does not constitute thought, even if the question was hard.

But in general I’m in agreement about the duck.

Existing LLMs can already “think” in a non-philosophical sense far better and faster than many adults walking around.

Most folks do not Consider the Lobster anyway and would likely not pay much attention to the details of its difference from a brain.
You're right. Humans have short term memory, so we can genuinely recall our reasoning, but at the same time, once an action (or even a thought) has been had, we begin weaving a new narrative about why we did that thing or had that thought, that often has no resemblance to actual truth.
“which is the environmentally best way to handle it”

Citation sorely needed.
To be pedantic, AMD have dramatically grown their data center share with their alternatives over the past quarter. So there is definitely some market share being lost.