skysight-inc/HackerNews huggingface dataset:
Affirmative action is reparations by another name. It's like saying I should pay for my ancestors crimes.

I am a pretty liberal person, but watching a white male candidate pass the interview but not get a job explicitly because he was a white male (because the only slots left were for "diverse" candidates) even makes me uncomfortable. That's a lived experience. I watched it in real life.

Jon Stewart has had two guests that he pushed back on that were both right while Stewart was wrong.

The first guest was on his Apple TV show, and he said something to the effect of "there's more of us [who disagree with reparations]," and Jon Stewart spoke over him and generally denied his opinions as rational. Current events show that that wasn't something to ignore.

The second was a guest talking about how these "social issues" are bad democratic strategy. Social programs are popular when they help the disadvantaged, but not popular when they help a particular group (which I think is in some way related to "intersectionality"?). Jon Stewart became emotional focusing on the injustice rather than pragmatically solving the problem.
> Large panes will also bow under that kind of pressure.

They typically have support pillars arrayed throughout the panel to prevent any bowing or flexing.
9. Excel hates CSV:
It clearly means CSV must be doing something right.
<3<3<3
Yeah that would be the next step in optimization. In the meanwhile, raw text CSV streaming (for not purely numeric data) is still extremely fast and easy to set up
topic is revenue stream, so chatbots can become major revenue surface, and chatbot winner brand will get most revenue stream, while search engines will be just some switchable backend.
Having spent some time working with both molecular biologists and LLM folks, I think it's pretty good analogy.

We know enough quantum mechanics to simulate the fundamental workings of a cell pretty well, but that's not a route to understanding. To explain anything, we need to move up an abstraction hierarchy to peptides, enzymes, receptors, etc. But note that we invented those categories in the first place -- nature doesn't divide up functionality into neat hierarchies like human designers do. So all these abstractions are leaky and incomplete. Molecular biologists are constantly discovering mechanisms that require breaking the current abstractions to explain.

Similarly, we understand floating point multiplication perfectly, but when we let 100 billion parameters set themselves through an opaque training process, we don't have good abstractions to use to understand what's going on in that set of weights. We don't have even the rough equivalent of the peptides or enzymes level yet. So this paper is progress toward that goal.
From the article:

> “What is clear is that it’s going to be really difficult to mitigate these biases,” says Judy Gichoya, an interventional radiologist and informatician at Emory University who was not involved in the study. Instead, she advocates for smaller, but more diverse data sets that test these AI models to identify their flaws and correct them on a small scale first. Even so, “Humans have to be in the loop,” she says. “AI can’t be left on its own.”

What do you think smaller data sets would do to a model? It'll get rid of disparity sure
I've seen it only because I use hn.algolia.com to read hacker news.
Why should the federal government be involved in schools or school food at all? School lunches should be as local as possible with standards set by the community. At the school my kids went to in France, the local school decided the menu and it was spectacular as the ingredients came from the local farms in the area. Fresh goat cheese delivered by the guy that made the stuff less than 1km away for example.
How to protect your site from DDoS attacks – before it's too late
I'm largely replacing Dockerfiles and Makefiles with a custom CLI that wraps Dagger. Being able to use a proper language, functions, packages, imports is so much better by comparison. (ymmv)
Trump administration is pointing spy satellites at US border
The Truth About Budgeting (From Someone Who Thought They Didn't Need One)
AgentScript: A simple, observable code agent builder written in TypeScript
Customize and scale your workflows easily with code agents, with automatic task tracing and built-in OpenTelemetry instrumentation.

Generate and safely run JavaScript/TypeScript scripts in isolated Node VMs, integrating effortlessly with user-defined functions (UDFs).

Writing agent actions as code means fewer steps, fewer LLM calls, and better reliability in your AI applications.

We would love your feedback!
Disappointed to see that even Wired is falling into the frame of the scandal being the accidental inclusion of a member of the public in a sensitive chat. Once again, Wired, the scandal is that the VP and the members of the cabinet are categorically forbidden from using Signal for any reason.
We didn't claim to be covered by AP, but I see what you mean: the previous text ("Learn more on TechCrunch and The Associated Press") wasn't clear enough. We've updated it to say “Check out our TechCrunch coverage and press release on AP News”. It's a bit clunky but should avoid that misunderstanding. Thanks for pointing this out!
Did Apple claim it’s the best phone yet? They’d probably only reserve that for the Pro.
Have you just been blissfully unaware of American foreign policy since...

(checks notes)

... the end of World War 2?
Individuals are drastically different from each other. Populations of humans, however, regress to the mean fairly readily, and even small groups (at least if they aren't grouped according to precise selection criteria) will tend to reflect very similar emergent patterns.
Adopting the Ferrocene Language Specification
One of the unexpected tough parts during my CS studies was keeping track of the german translations of terms. I would sit in an exam and wonder what Halde (Heap) was again. 98% of interesting literature is in English, and even if the lecture was in German, the recommended literature would usually be in English. In my job, I'm thinking and writing in English, then sometimes translate back to German if need be. Switching to an English keyboard was a major improvement, as many really important strokes are less intuitive in the german layout ( {} for example).

I would be really peeved if a random guy on my team could force all of us to program in German. It creates a lot of unnecessary friction.
In just over five months, two determined adventurers, Virag and Simon, will lace up their hiking boots and set off on one of the most ambitious challenges of their lives: a sponsored climb of Mount Kilimanjaro. This is no ordinary trek; they are not only targeting the summit of Africa's highest peak but also aiming to raise crucial funds for the Teenage Cancer Trust.
IIRC the main frustration wasn’t with the proposal but with the train of thought that led to it.

MBAs chipping away at load-bearing structures out of sheer human cupidity.
I went looking for a source for your list, as it definitely has a "polarized social media fever swamp" vibe. It appears that list was written by a little-known novelist who is often misrepresented as an academic, and gets things wrong: https://old.reddit.com/r/AskHistorians/comments/5r5dai/are_t....
Student made a post on LinkedIn about it: https://www.linkedin.com/posts/roy-lee-goat_i-just-got-kicke...
Where the data comes from also matters. Data is collected based on what's available to the researcher. Data from a particular city or time period may have a very different distribution than the general population.
Thoughts on setting policy for new AI capabilities
Who gets anywhere near this?
That's a really interesting point about committing to words one by one. It highlights how fundamentally different current LLM inference is from human thought, as you pointed out with the scene description analogy. You're right that it feels odd, like building something brick by brick without seeing the final blueprint. To add to this, most text-based LLMs do currently operate this way. However, there are emerging approaches challenging this model. For instance, Inception Labs recently released "Mercury," a text-diffusion coding model that takes a different approach by generating responses more holistically. It’s interesting to see how these alternative methods address the limitations of sequential generation and could potentially lead to faster inference and better contextual coherence. It'll be fascinating to see how techniques like this evolve!
How does that work? Are you building special adaptors that understand how package manager metadata files work? A deb package's postinstall is basically just a blob of bash running as root with access to the whole filesystem. If I tell dagger to install three packages in three different steps, those are not trivially reorderable operations. Nor are they reproducible at all, without Dagger having additional insight into the state of the local apt cache and what is offered by the remote apt repo at the moment of execution.
I think it's not about the properties of land and water per se, so much as avoiding flying over populated areas where it can be observed directly.
Crawler labyrinths generally tend to be on paths disallowed by robots.txt, or behind nofollow links. I haven't seen any indication that they're playing much part in this.

Seems the bigger problem is very large domains with slow response times and long crawl delays.

> Am I correct in assuming you are recrawling your entire corpus to get fresh results?

For known links, I'm sampling them and based on whether I find changes (first via if-none-match and if-modified-since or alternatively via locality sensitive hashing), I'm recrawling only a part or all of the links.

> Would there be a downside to replacing crawl epochs with a continuous crawl that is random but with age priority?

The drawbacks to this is a much more mutable crawl data (being able to read or write crawl data top down in an append-only format is a huge performance improvement), as well as problems with the indexing software which takes ~1 day to complete, and can't currently be partially rebuilt but is rebuilt from scratch every time at significant computational expense.
You don't say how long you wear them,
how much you're on your feet wearing them,
or how far you move wearing them.
Shoes don't wear out (much) from being put on and taken off,
and weekly use is light use.

On the flip side, four years is nothing.
I have shoes I bought over thirty years ago,
and all I've ever done is replace the insoles.
Even the laces are original.
You had me for a second there lol
No need for warning signs: I think the problem about the facism diagnosis is only that comparison to historical figures like the infamous austrian painter is misleading. Just call it palingenetic ultranationalism and we probably really quickly get agreement.
I've looked into using NN for some of my specific work, but making sure output is bounded ends up being such a big issue that the very code/checks required to make sure it's within acceptable specs, in a deterministic way, ends up being an acceptable solution, making the NN unnecessary.

How do you handle that sort of thing? Maybe main process then leave some relatively small residual to the NN?

Is your poking more like "fuzzing", where you just perturb all the input parameters in a relatively "complete" way to try to find if anything goes wild?

I'm very interested in the details behind "critical" type use cases of NN, which I've never been able to stomach in my work.
His crusade against mechanically separated chicken made me lose all respect for him. It's just chicken, you're literally just making better use of the animal. It's not magically less healthy because you used a machine to get at it.
Poll: The 100 Best Jazz Songs of All Time (2019)
To be clear I didn’t support the winning candidate either. I feel this election was well characterized by that South Park episode in the 90s.
Hungarian kids don't eat chips as part of lunch (unless their parents packed them it for breakfast, but for lunch they do not give them chips). Where have you have gotten this from? I have never encountered a place where it is common, at all, and I have been to many schools, kindergartens, hospitals, and rehabs.
> If you starve a wealthy man for 2 weeks he will be ready to cannibalize... People are the same everywhere.

> That is absolutely not true. People aren't the same even in adjacent neighborhoods sometimes. Some create great environments, some create hells on earth.

Sure. People are not the same in their current behaviors. People are the same in how they acquire their behaviors or change their behaviors based on the conditions of their environments. And sometimes these changes are very quick.

To give a very simple example, many people in my native country who would throw burning cigarette butts on the ground, stop doing so immediately when they, say, immigrate to the US. They didn't really change all of a sudden; what remains the same is the people's opportunistic ability to adapt to the conditions of their environment, regardless of what is moral, just, etc.
Those in dark winter places can check this out for a home bright light setup.

Some people report much better mood in dark winter days:

https://meaningness.com/sad-light-led-lux

https://meaningness.com/sad-light-lumens

Buy a cheap lux meter if you will be doing this since otherwise you are flying blind.
> I don't want my pencil to draw 2% away from where my hand goes: I want it to be the exact result of what I do

If you have a pencil that, due to the graphite core being loose, draws 0.5mm from your intended position and you're considering swapping to another pencil, then I'd say the correct line of consideration for the new pencil is whether it's more accurate than the alternatives (and weigh that up against other factors like cost/comfort). If you reject it for not having absolutely zero imprecision, you may just be inadvertently be sticking with an option that has greater imprecision.

Totally fine to decide not to use some tool if it really is less accurate than the alternatives (and you don't consider that inaccuracy to be made up for by other factors) - and I agree plenty of uses-cases would fall into that - just that it should be compared in this way and not against some "it must never make errors" standard. I see the same logic applied to autonomous vehicles ("they should be penalized/not allowed on roads until they cause zero deaths"), computer-vision quality-assurance ("the system is unacceptable if it misses any defects"), or even vaccines ("the manufacturer must be sued into the ground for every side-effect").

> Nobody will consider a "sorry I'm late, my phone AI gave me almost the good address for the appointment" as anything else than a loose excuse.

In 2025 if I give someone an address, I pretty much expect them to use some system with ML-based query-understanding/routing/map-updating/etc. like Google Maps, and would find it more odd if their excuse was that they were having trouble with their paper maps.
After over a decade in my home in a sunny area, I wish I would have replaced the windows with energy efficient ones when I first moved in. Just the savings on power over the past 10 years would have made them worth it. I'm pretty sure I'd have at least broken even by now.

All this to say, if I were building a new home, I would make it as energy efficient as possible as soon as possible. In my mind, it would be an investment, not maintenance.
Have you looked into the linked article? That's not what gruber is questioning.

1. Obviously, a political article on DF is a poor fit

2. But DF's non-political articles are also seemingly pooplisted, even ones that are clearly relevant to HN's audience

3. There have been quite a few political articles from other sites that have gotten traction on DF without being pooplisted

yeah I dunno it doesn't add up to me. i'm not saying it's a conspiracy or anything. perhaps it is just users flagging his articles and not some concerted moderator action.
This puts a pretty strong asterisk on other comments speculating that these probably aren't for Yemen, since they'd be overkill. They are overkill, but also we've used them in cases where better-scoped and cheaper solutions would have done the job, before.

As for comments like "why move them there, they're built for attacking from the US?": sustained strikes. The mission in the linked article had the crews awake 33 hours and put tons of strain on their aircraft, all of which would lengthen the time to a follow-up flight to, I'd guess, several days at least. You do this if you are planning to (or want it to look like you're planning to) use the aircraft several times in within a single week.
I honestly couldn't understand what you were trying to say.
After skimming through the article and a few of the comments, you could say that institute wasn't turing complete! :D
Article in question: https://www.tuftsdaily.com/article/2024/03/4ftk27sm6jkj

An F-1 visa can be revoked if the U.S. government determines the holder has violated its conditions:
* failing to maintain full-time enrollment or engaging in unauthorized work
* committed acts that breach U.S. law, such as criminal behavior
* activities deemed a national security threat under the Immigration and Nationality Act

We don't have all of the information in the case, hopefully it does come out.
This is super cool, and a great project.

As someone more on the software side as well, I’m inspired to take on something similar.

But more importantly, as someone who rented a windowless room for a year, I would have loved to make a smart light like this to wake up to in the morning.
Yes, precisely. This also provides container operators with the benefits of a hypervisor, like memory ballooning, and dynamically allocating CPU and memory to workloads, improving resource utilization and the current node overprovisioning patterns.
It seems like any serious endeavor on this front would focus on arm-m0 , risc-v, and Xtensa ESP cores. Those are the ones that can be recovered by the billions. You can recover tens of 1980s era level computers out of most any consumer device these days, even lightbulbs often have one.

For $0.1 I can buy an MCU that can bit bang a keyboard , mouse, sound, VGA, with 2x the memory and 96 times the processing power as my old 6502 based computer. An esp32 is much, much more capable, like better than an old pentium machine and has wifi, usb, Bluetooth, etc…. And costs 0.7-2$ on a module. They can be found in home automation lightbulbs, among other things.

Espressos has shipped over a billion esp32 chips since the platform launched.

Sure, we should have a 6502 based solution, as it has a lot of software out there and a minimal transistor count, making it possible to hand-build. But for a long time we will be digging up esp32s and they are much more useful.
Hey HN! I built this mental model as a way to think about how useful and how detectable different kinds of hacking activities are, based on leading red teams in public and private sector.

It's been useful for me in thinking about security, and I think it could be helpful for others.
Thanks for the detailed explanation of autoregression and its complexities. The distinction between architecture and loss function is crucial, and you're correct that fine-tuning effectively alters the behavior even within a sequential generation framework. Your "An/A" example provides compelling evidence of incentivized short-range planning which is a significant point often overlooked in discussions about LLMs simply predicting the next word.

It’s interesting to consider how architectures fundamentally different from autoregression might address this limitation more directly. While autoregressive models are incentivized towards a limited form of planning, they remain inherently constrained by sequential processing. Text diffusion approaches, for example, operate on a different principle, generating text from noise through iterative refinement, which could potentially allow for broader contextual dependencies to be established concurrently rather than sequentially. Are there specific architectural or training challenges you've identified in moving beyond autoregression that are proving particularly difficult to overcome?
Being able to drop into failed container builds / runs has been game changing, saved me mucho time. If you are being programmatic, you can also inject the drop into interactive mode anywhere you want, without needing an error. You can use this to build up working environments into which you drop developers (kind of like dev containers)
No, Teslas are hard to repair. The insurance rates were always higher than similar ICE vehicles. Any extra problems are marginal.
My flow is more or less this:

git merge -> ci -> oci artifact -> cd -> cloud.

Every deployable is packaged as an image, and can be deployed to serverless runtimes available on many clouds, VMs, and k8s (I assume other orchestrators too, but haven't tried).

My goal is to commoditize my cloud provider, while minimizing my costs. Everything is configured through terraform, so standing up an equivalent environment on a new cloud is pretty trivial.

I've tried to be very mindful about what I depend on from the provider (eg using provider specific sdks). I have had mixed results at sticking to this. I would like to improve this to the point where I could automatically fail over to other providers.
We are pleased to announce that web rendering just hit the accelerator!

Introducing the release of Babylon.js 8.0!!
We run unmodified containers in a VM guest environment, so you get the developer ergonomics of containers with the security and hardware controls of a VMM.
I wish these sort of articles would stop using vague, catch-all categories like "ultra-processed" and instead explain the specific ingredients in these foods that are thought to be harmful.

Valid but insufficiently detailed arguments are indistinguishable from bullshit, and public discourse today is swimming in bullshit.

And unless someone is are adding tar and nicotine to chicken nuggets and ginger ale, saying these "ultra-processed" foods have more in common with a cigarette than to fruits and vegetables is disingenuous bullshit.
How to Use Em Dashes (–), En Dashes (–), and Hyphens (-)
This seems great, love the idea of fewer service workers needing to run in order to get web app notifications.
If they had experimented using a newer model (gemma 3, deepseek-1 7b, etc.) and reported better results, would that be because their newer baseline model was better than the llama 2 model used in the previous methods' experiments? A more comprehensive study would include results for as many baseline models as possible. But there are likely other researchers in the lab all waiting to use those expensive GPUs for their experiments as well.
Coinbase MPC Library
To every veteran and aerospace engineer who honored the classification of information, this incident and likely prior ones, is horrendous and criminal.

Violators are immediately arrested and charged. I hate to see top-level exceptions to both record-keeping and mishandling of classified information. That's where they do the most damage.

As others have noted, the flaw in using Signal on consumer phones is due to vulnerabilities in the phone itself. And it was wrong to use consumer phones.

That said, I was recommending Signal to friends in order to have online discussions, using the conferencing feature, since it is cross-platform and cross-device. However, one friend lost their Apple login and can't install software on their phone. I sent a very long explainer on how to reset it.

Guess I'll try face-time conferencing, which works on Apple Devices [0] and will work with others via web [1]. Requires ios 15 or Monterey to initiate.

We have been using free, limited, zoom sessions.

[0] https://support.apple.com/en-us/111767
[1] https://support.apple.com/en-us/109364
Well there are some people who think they know. I personally agree with the above poster that such people are probably wrong.