MurphyA/hacker-news huggingface dataset:
by hexbin010 | 2025-12-01 17:35:58+00:00
Should have used S3 and a datetime-based access policy. Eg

{ "Version": "2012-10-17", "Statement": [ { "Sid": "Statement1", "Effect": "Allow", "Action": [ "s3:GetObject" ], "Resource": "arn:aws:s3:::obr-leaky-bucket/myfirst.pdf", "Condition": { "DateGreaterThan": { "aws:CurrentTime": "2025-11-26T12:30:00" } } } ] }
by jhirshman | 2025-12-01 17:36:24+00:00
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by caminante | 2025-12-01 17:36:29+00:00
I don't get how this is pushing buttons that mainstream business outlets haven't openly ridiculed in non-opinion pieces.

It's a satire blog that's confusing or misleading people (See top HN comments.) and not getting strong reactions.

Poe's law is when someone's being sarcastic and they add a smirk emoji to avoid/seek -/+ votes. Feels different here.
by darvid | 2025-12-01 17:36:29+00:00
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by dpark | 2025-12-01 17:36:36+00:00
Saying web users should define web standards is like saying laptop users should design CPUs. They lack the expertise to do this meaningfully.

Web authors? Maybe. WHATWG was created specifically because W3C wasn’t really listening to web authors though.

I don’t think there are a lot of scenarios where standards aren’t driven by implementers, though. USB, DRAM, WiFi, all this stuff is defined by implementers.
by llbeansandrice | 2025-12-01 17:36:39+00:00
My issue is not with learning. This "tool" has an incredibly shallow learning curve. My issue is that I'm having to make way for these "tools" that everyone says vastly increases productivity but seems to just churn out tech-debt as quickly as it can write it.

It a large leap to "requires engineering and planning" when no one even in this thread can seem to agree on the behavior of any of these "tools". Some comments tell anecdotes of not getting the agents to listen until the context of the whole world is laid out in these md files. Others say the only way is to keep the context tight and focused, going so far as to have written _yet more tools_ to remove and re-add code comments so they don't "poison" the context.

I am slightly straw-manning, but the tone in this thread has already shifted from a few months ago where these "tools" were going to immediately give huge productivity gains but now you're telling me they need 1) their own special files everywhere (again, this isn't even agreed on) and 2) "engineering and planning...not done in days or weeks even

The entire economy is propped up on this tech right now and no one can even agree on whether it's effective or how to use it properly? Not to mention the untold damage it is doing to learning outcomes.
by qkeast | 2025-12-01 17:36:45+00:00
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by cess11 | 2025-12-01 17:36:52+00:00
GOFAI was also a paradigm shift, regardless of that winter. For example, banks started automating assessments of creditworthiness.

What we didn't get was what had been expected, namely things like expert systems that were actual experts, so called 'general intelligence' and war waged through 'blackboard systems'.

We've had voice controlled electronics for a long time. On the other hand, machine vision applications have improved massively in certain niches, and also allowed for new forms of intense tyranny and surveillance where errors are actually considered a feature rather than a bug since they erode civil liberties and human rights but are still broadly accepted because 'computer says'.

While you could likely argue "leaps and bounds with novel methods utilizing AI for chemistry, computational geometry, biology etc." by downplaying the first part or clarifying that it is mainly an expectation, I think most people are going to, for the foreseeable future, keep seeing "AI" as more or less synonymous with synthetic infantile chatbot personalities that substitute for human contact.
by einsteinx2 | 2025-12-01 17:36:55+00:00
> em-dashes…things that you simply never saw before 2020

I’m sorry but this is patently false. Apple devices have been autocorrecting two hyphens into a em dash since as long as I can remember and I personally used them all the time before LLMs were a thing and absolutely saw them online. I try not to use them now because people will annoyingly call me out for using ChatGPT when I’m not.

I think Apple devices also default to “smart quotes” if I understand what you mean by that. For example I’m typing this on my iPhone and I get this quote character automatically when I tap the double quote button on the default keyboard: “

If I want straight quotes I have to long press the quote button and explicitly select it: "

I think on macOS it’s the opposite for quotes, but macOS will absolutely autocorrect double hyphens to em dashes.

> I don't understand how you're all not seeing how many posts on HN now are AI.

There’s a also a big difference between using AI to reformat/clean up your text, especially for non-native English speakers and a bot just spamming LLM replies, but none of your “gotchas” can discern the difference…
by hglawrence | 2025-12-01 17:36:56+00:00
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by cmiles8 | 2025-12-01 17:36:58+00:00
If OpenAI was the only company doing this that argument might sort of make sense.

The problem is they have real competition now and that market now looks like an expensive race to an undifferentiated bottom.

If someone truly invents AGI and it’s not easily copied by others then I agree it’s a whole new ballgame.

The reality is that years into this we seem to be hitting a limit to what LLMs can do with only marginal improvements with each release. On that path this get ugly fast.
by thoughtpeddler | 2025-12-01 17:37:00+00:00
Have there been deals like this before in the industry? (with the same express purpose as this, which is to say, creating a dedicated permanent capital vehicle that acquires + holds legacy businesses (e.g. accounting, IT services, etc) to transform them with AI agents using an equity-holding tech partner (OpenAI) to train models for tasks with company-specific data)? Feels new to me.
by vsulzer | 2025-12-01 17:37:06+00:00
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by neilv | 2025-12-01 17:37:17+00:00
I have no idea why they did, but some pros: X200 is less expensive, (I think) it has a little more room, and it doesn't have the X220's crazy design flaw with the lid shell.

I also had better luck getting genuine replacement keyboards for the X200. Half of the X220 keyboards I stockpiled arrived as substandard garbage, even though I was trying to avoid that.
by stanfordkid | 2025-12-01 17:37:20+00:00
What do you mean by “understand”? Do you mean conscious?

Understand just means “parse language” and is highly subjective. If I talk to someone African in Chinese they do not understand me but they are still conscious.

If I talk to an LLM in Chinese it will understand me but that doesn’t mean it is conscious.

If I talk about physics to a kindergartner they will not understand but that doesn’t mean they don’t understand anything.

Do you see where I am going?
by shubhamgoel | 2025-12-01 17:37:38+00:00
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by raw_anon_1111 | 2025-12-01 17:37:52+00:00
It depends. Amazon’s Nova Light gave me the best speed vs performance when I needed really quick real time inference for categorizing a users input (think call centers).

One of Anthropics models did the best with image understanding with Amazon’s Nova Pro being slightly behind.

For my tests, I used a customer’s specific set of test data.

For RAG I forgot. But is much more subjective. I just gave the customer an ability to configure the model and modify the prompt so they could choose.
by stego-tech | 2025-12-01 17:38:06+00:00
The winters are the best part, economic harm aside.

Winters are when technology falls out of the vice grip of Capital and into the hands of the everyman.

Winters are when you’ll see folks abandon this AIaaS model for every conceivable use case, and start shifting processing power back to the end user.

Winters ensure only the strongest survive into the next Spring. They’re consequences for hubris (“LLMs will replace all the jobs”) that give space for new things to emerge.

So, yeah, I’m looking forward to another AI winter, because that’s when we finally see what does and does not work. My personal guess is that agents and programming-assistants will be more tightly integrated into some local IDEs instead of pricey software subscriptions, foundational models won’t be trained nearly as often, and some accessibility interfaces will see improvement from the language processing capabilities of LLMs (real-time translation, as an example, or speech-to-action).

That, I’m looking forward to. AI in the hands of the common man, not locked behind subscription paywalls, advertising slop, or VC Capital.
by orac81 | 2025-12-01 17:38:20+00:00
Sage Draughts is a very comprehensive Draughts or Checkers playing program, now released as open source software.

Sage is a 32 bit Windows program, which should run on any version from XP up to Windows 11.

It has a very wide range of features, levels, analysis, game replay/save/load, handling PDN game databases, endgame "perfect play" databases (6 pieces, 30 billion positions), large opening databases, and so on.

Sage can play Checkers on any size Board from 4x4 to 12x12. It can also play Italian rules checkers.

Or you can just enjoy a simple game of Checkers!

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https://github.com/orac81/Orac-Draughts/
by antiochIst | 2025-12-01 17:38:25+00:00
Currently I'm using Snowflake’s Arctic embedding model on the whole story not just the title, to cluster stories. There are still some issues, but its not as simple as looking at title publish date.

Yea, I need to do some work on improving first to publish... currently I'm relying pretty heavily on the published date provided in the story itself, but sometimes that is wrong and makes it look like a later publisher was first to publish.
by gdulli | 2025-12-01 17:38:46+00:00
> Folks say handwavy things like “oh they’ll just sell ads” but even a cursory analysis shows that math doesn’t ad up relative to the sums of money being invested at the moment.

We should factor in that messaging that's seamless and undisclosed in conversational LLM output will be a lot more valuable that what we think of as advertising today.
by andix | 2025-12-01 17:38:47+00:00
Yes, it's "just" a VM.

WSL2 is a bit like Firecracker for Linux. It's a lightweight VM, with a lot of optimizations here and there. For faster startup, lower memory footprint and so on.

PS: which means you need a lot of memory, if you use WSL2 extensively (multiple Docker containers for example). 8-16 GB on top of your usual workloads is a good starting point. Docker on WSL2 is not a lot of fun with less than 20 GB system memory.
by NietTim | 2025-12-01 17:39:00+00:00
Learned a bit more about this initiative since then. I guess this is a great example of why I heavily dislike creator initiatives like this. In their world getting more people to comment is a good thing, no matter what the comment says. In the real world this mostly benefits the creator and harms the initiative, since the first interaction people have with it is about the initiative being dishonest.
by rahimnathwani | 2025-12-01 17:39:19+00:00
Inflation isn’t just "prices increasing". It’s the sustained, broad-based rise in the overall price level. Your comment treats any price increase as inflation, but economists draw a pretty clear line here: a relative price change (say, eggs getting more expensive because of a supply shock) isn’t the same thing as inflation. You can have sector-specific increases (as in this case, with RAM) that are independent of changes in the general price level.
by grayhatter | 2025-12-01 17:39:24+00:00
Can you cite a section from this very long page that might convince me no one at the time understood how turning water into steam worked to create pressure?

If this is your industry, shouldn't you have a more reputable citation, maybe something published more formally? Something expected to stand up to peer review, instead of just a page on the internet?

> We should not be making Luddite calls to halt progress simply because our analytic capabilities haven’t caught up to our progress in engineering.

You've misunderstood my argument. I'm not making a luddite call to halt progress, I'm objecting to my industry which should behave as one made up of professionals, willingly sacrifice intellectual control over the things they are responsible for, and advocate others should do the same. Especially not at the expense of users, which I see happening.

Anything that results in sacrificing the understanding over exactly how the thing you built works is bad should be avoided. The source, either AI or something different, doesn't matter as much as the result.
by dralley | 2025-12-01 17:39:24+00:00
With all due respect, this is a completely HN-brained take.

No significant number of users chooses their browser based on support for image codecs. Especially not when no relevant website will ever use them until Safari and Chrome support them.

And websites which already do not bother supporting Firefox very much will bother even less if said browser by-default refuses to allow them to make revenue. They may in fact go even further and put more effort into trying to block said users unless they use a different browser.

Despite whatever HN thinks, Firefox lost marketshare on the basis of:

A) heavy marketing campaigns by Google including backdoor auto-installations via. crapware installers like free antivirus, Java and Adobe, and targeted popups on the largest websites on the planet (which are primarily google properties). The Chrome marketing budget alone nearly surpasses Mozilla's entire budget and that's not even accounting for the value of the aforementioned self-advertising.

B) being a slower, heavier browser at the time, largely because the extension model that HN loved so much and fought the removal of was an architectural anchor, and beyond that, XUL/XPCOM extensions were frequently the cause of the most egregious examples of bad performance, bloat and brokenness in the first place.

C) being "what their cellphone uses" and Google being otherwise synonymous with the internet, like IE was in the late 1990s and early 2000s. Their competitors (Apple, Microsoft, Google) all own their own OS platforms and can squeeze alternative browsers out by merely being good enough or integrated enough not to switch for the average person.
by ipdashc | 2025-12-01 17:40:11+00:00
> At big tech over 40% of checked in code is LLM generated.

Assuming this is true though, how much of that 40% is boilerplate or simple, low effort code that could have been knocked out in a few minutes previously? It's always been the case that 10% of the code is particularly thorny and takes 80% of the time, or whatever.

Not to discount your overall point, LLMs are definitely a technical success.
by Nevermark | 2025-12-01 17:40:22+00:00
I am simply stunned at the negativity.

Yes, there is hype.

But if you actually filter it out, instead of (over) reacting to it in either direction, progress has been phenomenal and the fact there is visible progress in many areas, including LLMs, in the order of months demonstrates no walls.

Visible progress doesn’t mean astounding progress. But any tech that is improving year to year is moving at a good speed.

Huge apparent leaps in recent years seem to have spoiled some people. Or perhaps desensitized them. Or perhaps, created frustration that big leaps don’t happen every week.

I can’t fathom anyone not using models for 1000 things. But we all operate differently, and have different kinds of lives, work and problems. So I take claims that individuals are not getting much from models at face value.

But that some people are not finding the value isn’t an argument that those of us getting value, increasing value isn’t real.
by henlo | 2025-12-01 17:40:29+00:00
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by cess11 | 2025-12-01 17:41:29+00:00
There is no difference between "hallucination" and "soberness", it's just a database you can't trust.

The response to your query might not be what you needed, similar to interacting with an RDBMS and mistyping a table name and getting data from another table or misremembering which tables exist and getting an error. We would not call such faults "hallucinations", and shouldn't when the database is a pile of eldritch vectors either. If we persist in doing so we'll teach other people to develop dangerous and absurd expectations.
by Arainach | 2025-12-01 17:41:44+00:00
>Castles and cathedrals and city walls and the like don't fall down unless you intentionally ignore or obfuscate a ton of cracking a slumping and things moving, etc, etc.

There are many failure modes other than gradually cracking and eventually failing. Even in that case, by the time you notice such cracking, the cost of repair - if it can be repaired - is dramatically higher, and has tons of effects.