MurphyA/hacker-news huggingface dataset:
by jajko | 2025-07-15 08:59:49+00:00
Need a bit of oomph to move the very fabric of this universe a bit. But energy conversation laws say its just then spread all over the place across time, just like ripples in pond, suspended into nothingness of its own little universe... or something

Tells me a bit darker thing in between the lines - the chance some advanced civilization (or us in far future if we actually survive) traveling FTL by bending space massively is next to zero, we would see (or detect soon) the evidence... unless they do it on planck-level of precision and self-contain all ripples. Nah, it really seems c is the ultimate barrier so far... depressing.
by johnsmith1840 | 2025-07-15 09:00:40+00:00
I was trying to solve AGI at the time this was just a side study I did to better understand how models forget the effect was not what I was looking for.

It could be expanded to better understand alignment.

But the resolution makes that cost prohibitive.

I did ~100 runs on different sizes but inferencing 100s of thousands of times made it computationally prohibitive. The key random statement is what allowed accurate measurements of the model.

The equivalent would be for every fine tuning data you train on run the entire evaluation dataset through it.
by jrrrp | 2025-07-15 09:00:56+00:00
It does seem to depend highly on the context in which the array is used. Strictly defined algorithm with an off-by-one: bug. User-defined indexing as you say is a counter. I suppose it is hinging on arrays being used in less dynamic contexts where you're likely to know the length, so to save you from handling all the Nones. I think I'd prefer a parallel api that returns Option, so you don't need to duplicate the bounds checking.
by anta40 | 2025-07-15 09:01:08+00:00
I think those are the binaries. Opening those on nano/vim shows unreadable characters.

I mean, if you take a look at this page: https://benbridle.com/projects/bedrock/bedrock-pc.html

"To assemble a source code file program.brc and save the result as the program program.br, run the command..."

Where are the brc files?
by petesergeant | 2025-07-15 09:01:38+00:00
> Ironically, this is exactly the technique for arguing that the blog mentions.

So? The blog notes that if something is inevitable, then the people arguing against it are lunatics, and so if you can frame something as inevitable then you win the rhetorical upper-hand. It doesn't -- however -- in any way attempt to make the argument that LLMs are _not_ inevitable. This is a subtle straw man: the blog criticizes the rhetorical technique of inevitabilism rather than engaging directly with whether LLMs are genuinely inevitable or not. Pointing out that inevitability can be rhetorically abused doesn't itself prove that LLMs aren't inevitable.
by graemep | 2025-07-15 09:02:13+00:00
> So if you never want megacorps or anyone who runs a business to ever use your code, choose AGPL.

Not "anyone who runs a business" but "any business that uses your software to provide a proprietary network service".

That is the whole point of the AGPL!

Google's reasoning in your link is pretty clear that the problem is that they are a provider of network services. Most non tech businesses wold be completely unaffected by these issues and have no reason to care.
by senectus1 | 2025-07-15 09:03:13+00:00
>“The End-of-Train (EOT) and Head-of-Train (HOT) vulnerability has been understood and monitored by rail sector stakeholders for over a decade. To exploit this issue, a threat actor would require physical access to rail lines, deep protocol knowledge, and specialized equipment, which limits the feasibility of widespread exploitation—particularly without a large, distributed presence in the U.S.

Sure, thats reaaaally unlikely hey... /S
by iLoveOncall | 2025-07-15 09:03:16+00:00
Are you seriously comparing the internet and LLMs?

You know what's the difference between both?

Internet costs a fraction of LLMs to serve literally everyone in the world. It is universally useful and has continuously become more and more useful since it started.

LLMs are insanely expensive to the point of them having to be sold at a loss to have people using them, while the scope they are promised to cover has narrowed year after year, from "it will automate everything for every job" to "it can write boilerplate code for you if you're a bit lucky and nobody looks at the code review too closely".

The only inevitability when it comes to LLMs is that investments will dry up, the bubble will pop, and it's gonna be like back in 2000.
by nosianu | 2025-07-15 09:03:16+00:00
If you would give a balanced PoV you would not only count the good drugs that could have been, but also list all the bad ones that were fortunately prevented from being released on the public. If you only list one side, your argument is missing something essential. Loosening regulations has an effect not only on drugs that turn out to be very net positive, we will also see more bad ones. Now I'm just waiting for someone to point out that all we need is perfect regulation that exactly lets through all the good ones and filters all the bad ones....
by eric-burel | 2025-07-15 09:03:30+00:00
I don't have a subscription not even an Open AI account (mostly cause they messed up their google account system). You can't extract value of an LLM by just using the official UI, you just scratch the surface of how they work. And yet there aren't much developers able to actually build an actual agent architecture that does deliver some value. I don't include the "thousands" of startups that are clearly suffer from a signaling bias: they don't exist in the economy and I don't care about them like at all in my reasonning. I am talking about actual LLM developers that you can recruit locally the same way you recruit a web developer today, and that can make sense out of "frontier" LLM garbage talk by using proper architectures. These devs are not there yet.
by kukkeliskuu | 2025-07-15 09:04:30+00:00
I have worked on a database engine core team, and I really like the simplicity of SQLite and would love to use SQLite more. I am fully aware of benefits of the simplicity it brings to operations and I also know that the scalability of SQLite is more than sufficient for most of my use cases.

But I am running two major side projects I while still working full time. One of my side projects is a site with 2M page views per month. Additionally, depending on how you count (whether apps are included in the major projects or not), I have 3-4 smaller side projects, two of which use SQLite database.

To be able to run all of this, I have an extreme cut-throat approach to technology. SQLite is almost there, but ultimately Postgres is still more mature all-around solution. As an example, I believe (have not tested this though) it is quicker to set up full-text search for Postgres using online resources. The developer experience is better, because Postgres full-text search has been around for longer and has wider adoption.
by a_wild_dandan | 2025-07-15 09:06:56+00:00
I'm uncertain if MY code works correctly lol. I know many code-illiterate folk; some of them I call "boss" or "client." They get along fine dining on my spaghetti. I do likewise never touching the wheel/pedals on my car's 45-minute commute to work.

Will someone eventually be scraping me off of the highway? Will my bosses stop printing money with my code? Possibly! But that's life -- our world is built upon trust, not correctness.
by zer00eyz | 2025-07-15 09:06:59+00:00
The pro-LLM crowd on HN is just as cultish. The divide is as diverse as the work we do:

There is work that I do that is creative, dynamic and "new". The LLM isn't very helpful at doing that work. In fact it's pretty bad at getting that sort of thing "right" at all. There is also plenty of work that I do that is just transformational, or boiler plate or a gluing this to that. Here the LLM shines and makes my job easy by doing lots of the boring work.

Personal and professional context are going to drive that LLM experience. That context matters more than the model ever will. I would bet that there is a strong correlation between what you do day to day and how you feel about the quality of LLM's output.
by orbital-decay | 2025-07-15 09:08:15+00:00
That's not what I mean. "Questions that require reasoning", i.e. indirect questions that require picking a fact in the context and processing it somehow, not necessarily related to reasoning chains models natively trained to do. Something GP is talking about.

Built-in reasoning chain certainly helps in long-context tasks, especially when it's largely trained to summarize the context and deconstruct the problem, like in Gemini 2.5 (you can easily jailbreak it to see the native reasoning chain that is normally hidden between system delimiters) and DeepSeek R1-0528, or when you're forcing it to summarize with a custom prompt/prefill. The article seems to agree.
by notTooFarGone | 2025-07-15 09:08:34+00:00
The fact that companies have to hire third-parties to handle very privacy critical data such as government IDs or faces is such a farce.

Why is there no age verification service from governments around the world. It's a simple redirect, NFC + PIN on your phone to unlock your ID, and a boolean from the government side to say the person is over 18. An expiration date for this information should suffice to have with an account.

You can even proxy this to really make sure the government does not know what site is asking. Why does there have to be a third party and every company now doing their own stack of bullshit.

Of course countries like the US are not there yet but everyone else is.
by aspenmayer | 2025-07-15 09:08:36+00:00
Close, 1982 for print, 1983 for TV. You’re thinking of Rogaine, I think.

https://en.wikipedia.org/wiki/Direct-to-consumer_advertising

> Merck published the first print DTC ad for a pneumonia vaccine targeting those aged 65 years and older, and Boots Pharmaceuticals aired the first DTC television commercial in 1983 for the prescription ibuprofen Rufen.

But that sentence was worded weirdly, so I checked the sources. This is one of the two for that part:

https://web.archive.org/web/20250114005757/https://adage.com...

> While 2006 marks the 10-year anniversary of the Claritin ad, it was actually 24 years ago that the FDA unwittingly opened the door to DTC. Speaking at the American Advertising Federation conference and addressing the Pharmaceutical Advertising Council, then-FDA Commissioner Arthur Hull Hayes Jr. summarized the state of drug advertising, saying it "may be on the brink of the exponential-growth phase of direct-to-consumer promotion of prescription products."

> Drug companies jumped on the phrase "exponential growth" and took it to mean the FDA, however tacitly, supported DTC.

> 'Opening a closed door'

> "It was viewed by the industry as FDA opening a closed door," said Kenneth R. Feather, a former associate FDA commissioner.

> A year later, in 1983, Boots Pharmaceuticals aired the first direct-to-consumer TV ad when it promoted its prescription ibuprofen medication, Rufen. The company also ran newspaper ads at the same time. That was in May; by September, the FDA asked the industry for a voluntary moratorium on drug advertisements. (Ibuprofen actually went over the counter a year later.)

> In 1984, Upjohn sponsored a major conference on DTC advertising in Washington, D.C., where it made no bones about expressing its opposition to the practice. But less than five years later, Upjohn was touting the merits of DTC after its hair-restoration medication, Rogaine, was approved by the FDA and needed to be marketed.
by graemep | 2025-07-15 09:09:06+00:00
> Meanwhile, Richard Stallman, author of the GPL and founder of the FSF, had significant disagreements with the PHP project over their use of the GPL, so the PHP project discontinued the dual-licensing approach, removing the GPL license as an option

The main link that cites is primarily about the MySQL license change to GPL and the impact on PHP licensing of tha. I also do not understand why anyone would drop the GPL because Stallman does not like their licensing.
by pickledoyster | 2025-07-15 09:10:20+00:00
Infrastructure helps more. I live in a hilly city and break a mild sweat pedaling up a hill to get home from work (no complaints, it's good cardio). e-scooters and bikes - slowly - get up the hills too, but it's a major difference (especially for scooters) doing this up on an old bumpy sidewalk vs an asphalt bike path
by mettamage | 2025-07-15 09:10:49+00:00
> everyone can code!

I work directly with marketers and even if you give them something like n8n, they find it hard to be precise. Programming teaches you a "precise mindset" that one doesn't have when they aren't really thinking about tech professionally.

I wonder if seasoned UX designers can code now. They do think professionally about software. I wonder if it's at a deep enough granularity such that they can simply use natural language to get something to work.
by TeMPOraL | 2025-07-15 09:10:51+00:00
FWIW, LLMs have been getting better so fast that we only barely begun figuring out more advanced ways of applying them. Even if they were to plateau right now, there'd still be years of improvements coming from different ways of tuning, tweaking, combining, chaining and applying them - which we don't invest much into today, because so far it's been cheaper to wait a couple months for the next batch of models that can handle what previous could not.
by johngai | 2025-07-15 09:11:59+00:00
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by ben_w | 2025-07-15 09:12:24+00:00
The Luddites were among the precursors to Marx et al.; even a revolution wasn't enough to hold back industrialisation, and even that revolution had a famous example of the exact kind of resource-distribution failure that Marx would have had in mind when writing (Great Famine in Ireland was contemporaneous with the Manifesto, compare with Holodomor).
by csomar | 2025-07-15 09:13:20+00:00
1. If you're maxing out your subscription, they're burning money on you.

2. They don't have a moat. DeepSeek and Kimi are already good enough to destroy any high margins they're hoping to generate from compute.

Just because something is highly useful doesn't mean it's highly profitable. Water is essential to life, but it's dirt cheap in most of the world. Same goes for food.
by moritonal | 2025-07-15 09:13:26+00:00
But you brought it here to get feedback? Our feedback is things like, the docs (https://github.com/ebogdum/callfs/blob/main/docs_markdown/02...) have a pile of references to things that just don't exist in your code? You have a change-log that isn't used? Your main file references a site that doesn't exist "https://github.com/ebogdum/callfs/blob/main/cmd/main.go".
by dr_dshiv | 2025-07-15 09:13:34+00:00
Your concern is the environmental impact? Why pick on LLMs vs Amazon or your local drug store? Or a local restaurant, for that matter?

Do the calculations for how much LLM use is required to equal one hamburger worth of CO2 — or the CO2 of commuting to work in a car.

If my daily LLM environmental impact is comparable to my lunch or going to work, it’s really hard to fault, IMO. They aren’t building data centers in the rainforest.
by johngai | 2025-07-15 09:13:52+00:00
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by ben_w | 2025-07-15 09:16:09+00:00
I broadly agree with your point, but would also draw attention to something I've observed:

> LLMs will NEVER become true AGI. But do they need to? No, or course not!

Everyone disagrees about the meaning of each of the three letters of the initialism "AGI", and also disagree about the compound whole and often argue it means something different than the simple meaning of those words separately.

Even on this website, "AGI" means anything from "InstructGPT" (the precursor to ChatGPT) to "Biblical God" — or, even worse than "God" given this is a tech forum, "can solve provably impossible task such as the halting problem".
by al_borland | 2025-07-15 09:16:21+00:00
My Gmail turned into the place where just goes to die long ago. Inspired by a blog post from Herman[0], I decided to try and take back control. As I looked around I stumbled across this feature before I saw it in the news anywhere, though just after I got an email from Proton announcing they have the same thing. What an amazing change. A few short minutes later I was done. I then spent the next several days wondering if I broke my account, as I get very few emails now and it has been very easy to maintain.

[0] https://herman.bearblog.dev/digital-hygiene-emails/
Coworking SF – drop-in coworking, no memberships, book instantly
by noker | 2025-07-15 09:17:21+00:00
we are coworking sf, a drop-in coworking space in the mission district of san francisco.

the model: day-pass only, no memberships, no commitment, instant booking and door unlock via the lans app.

we saw a lot of people wanting workspace without being locked into memberships, especially freelancers and travelers.

would love feedback from folks here, see you soon!
by okanat | 2025-07-15 09:17:27+00:00
This would not fly in a court. I'm writing this again in the context of German legal system (and most of the continental Europe is similar).

To argue a good faith argument, you need to be paying the debt as long as the service is provided. You need to have strong proof that you have tried your best to cancel. Just claiming that you lost your card or not using the service is not an argument. in fact it would aggravate consequences for you since it can be interpreted as a bad faith argument from your side.

Usually this ends up sending them a letter with registration / delivery feedback (Einschreiben or Einwurf in German postal terminology).

The law tries to strike balance between contract law and consumer protection. You get a limited time to cancel without a reason and consequences. The contract also needs to be "fair" for both parties. For example a contract between you and an ISP cannot force you to pay when you move out and the said ISP cannot provide you an equivalent service. So it needs reasonable cancelation clauses for both sides.
by kukkeliskuu | 2025-07-15 09:18:06+00:00
Yes, I contradicted myself in that sense. I am not going to argument against your point.

But let me elaborate my approach which explains this apparent contradiction. Backend is needed in any case, and for me that is almost always Django. It is extremely fast to build traditional (non-SPA) CRUD apps with Django if you have only one model / one page. I can make a new one less than an hour.

If I need more interactivity or more data on the page, I use the same approach (models, views, forms with validation) but I create partial forms and return HTML fragments, instead of full pages. AlpineJS/HTMX allows me to implement 80% with Django/python, and I can avoid implementing a REST API and JSON serialization/deserialization, all the frontend data management, and there is usually almost no need for Javascript.
by KomoD | 2025-07-15 09:18:50+00:00
How are they hiding it?

Click about, says its made by a team within AWS.

Click on any of the legal links in footer, get sent to AWS

Look at the footer, has AWS logo

Look at the license, clearly says "Amazon.com, Inc. or its affiliates"

On the download page "By downloading and using Kiro, you agree to the AWS Customer Agreement"
by Svip | 2025-07-15 09:19:12+00:00
What's the usage of the word 'factoid' when its use is clearly to just say 'fact'; considering the word 'factoid' actually means something that looks like a fact, but is ­– in fact – false? The fact that it should mean 'false fact' but may be used as 'true fact', makes the opening of this piece rather confusing.
by msgodel | 2025-07-15 09:19:54+00:00
All LLMs can fail this way.

It's kind of weird to see people running into this kind of issue with modern large models with all the RL and getting confused. No one starting today seems to have good intuition for them. One person I knew insisted LLMs could do structural analysis for months until he saw some completely absurd output from one. This used to be super common with small GPTs from around 2022 and so everyone just intuitively knew to watch out for it.
by rusya1313 | 2025-07-15 09:20:02+00:00
I've been working on fontgenerator.cc for a while – it converts plain text to fancy Unicode fonts that work across all platforms.

Recently added two features that solve real UX problems I noticed: - Font Comparison Tool (https://fontgenerator.cc/compare-fonts): Users were opening multiple tabs to compare different styles. Now you can select up to 3 fonts side-by-side to see how your text looks before committing. Especially useful when choosing between similar styles like different gothic or cursive variants.

- Random Font Discovery (https://fontgenerator.cc/random-font): With 170+ styles organized in categories, people often stick to the same few fonts. The random generator helps users discover styles they wouldn't normally try – I've seen people find unexpected favorites this way.

The core tool uses Unicode mathematical and symbol characters rather than actual fonts, which is why the text maintains its styling when copied to Twitter, Discord, Instagram, etc. All processing happens client-side.
by pavlov | 2025-07-15 09:20:04+00:00
Compare these positive introductory experiences with two technologies that were pushed extremely hard by commercial interests in the past decade: crypto/web3 and VR/metaverse.

Neither was ever able to offer this kind of instant usefulness. With crypto, it’s still the case that you create a wallet and then… there’s nothing to do on the platform. You’re expected to send real money to someone so they’ll give you some of the funny money that lets you play the game. (At this point, a lot of people reasonably start thinking of pyramid schemes and multi-level marketing which have the same kind of joining experience.)

With the “metaverse”, you clear out a space around you, strap a heavy thing on your head, and shut yourself into an artificial environment. After the first oohs and aahs, you enter a VR chat room… And realize the thing on your head adds absolutely nothing to the interaction.