skysight-inc/HackerNews huggingface dataset:
This is also the fallacy of looking at one metric.

Do staff include productive researchers producing net positive incoming?

Other comments mention the medical school. Are these staff providing patient care (and billing insurance)?

University staff aren’t necessarily just your traditional educators. A whole lot of productive stuff (both for the university and everyone else) can potentially benefit from “staff.”
Dude Just yesterday Trump administration donated 4 billion dollars in arms to a literally a terrorist government.
As much as i like the idea--but this project will not prevent any fraud. It begins with what you load into the PCR thermocycler. Samples, controls, primers are all things that can easily be manipulated and not be traced back. Everyone with a little knowledge about PCR can make a PCR look exactly the way they want it to look. That's why replication is the gold standard in science. Will other scientists come to the same results when they perform a published experiment in their own lab?
>I would assume non-student TAs (who do teach students), lab technical staff (who maintain equipment and and more directly enable teaching than janitorial staff) and such are also all non-staff.

They are considered staff.
OpenAI is going to add it to Plus subscriptions. I.e. available for many at no additional cost. Likely with restrictions line N prompts/hour.

As for API price, when it matters businesses and people are willing to pay much more for just a bit better results. OpenAI doesn't take the other options away. So we don't lose anything.
But it is only a program computing numbers. The code itself has nothing to do with the reasoning capabilities of the model.
Did you consider what happens to the ratio when students take more than one class ?
Cellebrite vs. iOS iPhone
Cellebrite and the new “CVE-2025-24200”.

So… most recently this new bug was discovered, regarding the physical attack and the USB restricted mode.

In theory Cellebrite could use this to connected to fx. “Iphone 14 pro max on ios 18.2” in BFU mode!

My question us:
-Can they use this to crack the password?
-If they extract some data…. Well it will be encrypted?
I definitely wouldn't say I'm lying (...to.. myself? what? or perhaps others for a quick untested response in a chatroom or something) whenever I write some code and it turns out that I misremembered the name of an API. "Hallucination" for that might be over-dramatic but at least it it's a somewhat sensible description.
I wish the browser would just say "This website is trying to fetch data from example.com, do you agree?"

The whole CORS thing is so off and it destroyed to ability to build so many things on the internet. I often think it protects websites more than it protects users. We could have at least allowed making cookie-less requests.
How to Prepare Wikibase Data in Google Sheets
Version control inside an IDE helps with noticing these types of changes, even if you aren't a programmer
The talk page led me to this video where someone manages to light a LED with a crystal radio and a joule thief.

https://www.youtube.com/watch?v=za-mAlrdtkk
I think there are two things going on, and while I think the Twitter post does a good job of highlighting this core issue, I think it's going to be overshadowed by the "execs can get all this support because they're rich" talk (which is true, just not what I think is the core issue).

For some subset of people, work is the most important thing in their lives and it is largely how they identify themselves. As the tweet points out, the vast majority of execs are in this bucket. This is almost by definition - despite what has been popular talk in some corners of the Internet, most execs do work extremely hard, as do most people who get to the upper echelons of their profession. These people essentially want to work more. FWIW, while I'm not an exec, I would put myself in this bucket.

On the other side are basically the "work to live" people. While this is a pretty broad bucket (some people may want to spend as little time working as possible, but I think most people in this bucket care about their careers and want to do well, but they still fundamentally see work as a means to an end to achieve goals outside of work), these folks are much more likely to not be execs. They want to do a good job, get paid well, and then go home.

So I think both sides talk past each other because they fundamentally have different goals. For people in the first bucket (again, that was definitely me), I grew to hate full-time remote work. I felt incredibly disconnected from my work and my colleagues over time, and my motivation definitely waned over time, and as someone who really identified myself in the context of my profession, that was really tough. But I also don't have kids, and not a lot of responsibilities outside of work, so I can definitely understand the other side of it.

I don't think there are any easy answers, but saying "data alone is not enough to sway these people" I think misses the point, because you're only showing data that pushes the viewpoint of your "second bucket" group. Again, to emphasize, not a bad thing, but it doesn't encompass all of the concerns that are in play of the first bucket group.
> Penrose essentially takes for granted that human brains can reason about or produce results that are otherwise uncomputable.

That's Penrose's old criticism. We're past that. It's the wrong point now.

Generative AI systems are quite creative. Better than the average human at art.
LLMs don't have trouble blithering about advanced abstract concepts.
It's concrete areas where these systems have trouble, such as arithmetic.
Common sense is still tough. Hallucinations are a problem. Lying is a problem.
None of those areas are limited by computability. It's grounding in the real world that's not working well.

(A legit question to ask today is this: We now know how much compute it takes to get to the Turing test level of faking intelligence. How do biological brains, with such a slow clock rate, do it? That was part of the concept behind "nanotubules". Something in there must be running fast, right?)
My favorite was an employer that did a massive “transformation” project. They brought in McKinsey to figure it out afterwards. It was probably the only McKinsey encounter I’ve had that seemed productive - the team was both interested and capable.

The most amazing was a pretty detailed and well conducted survey over a two year period. It showed that satisfaction was inversely proportional to both rank and tenure, and the decline started at 6 months. So an executive or senior IC would be immediately dissatisfied. A lower level employee or supervisor would start very happy, but the luster would wear down after about 4 months lol. Long tenured employees grew increasingly dissatisfied until their personal liquidity event.

They fucked up and broke out the data in a way that demonstrated that the division leads were dissatisfied to the point that it was affecting their health. No more public data presentation from that point forward.
Recent video on the topic by Real Engineering, interviewing a start-up in this domain that aims at creating new technology to dig 10km+ bore holes using plasma to vaporise rocks https://www.youtube.com/watch?v=b_EoZzE7KJ0
Corporate landlord owned housing indeed has occupancy rate management, typically between 95% and 99.5%.
Meh, there's no lack of consumer stuff, it's more the test equipment that's too expensive (logic analyzers etc.)
Stripping Trump of a key weapon – the English language
The relational algebra is a line encoding. When you put bits on a wire (or a magnetic surface), they're not the same bits; there are more of them, for at least two different reasons, and they have to be translated in both directions. But you only want to see your bits. Similarly, programming languages only want to see their data structures, but The Database can only deal with the relational algebra, which is like a wire not being able to transmit more than three consecutive zero bits, and the translations are arbitrarily complex. The difference is that wires and disks don't have administrators who demand that everyone must think exclusively in terms of the line encoding.
"Literally" has been used for emphasis in this way for hundreds of years.

https://www.merriam-webster.com/grammar/misuse-of-literally
There is currently a missing middle ground in stable Rust, which is to lint on a missing variant rather than fail compilation. There's an unstable option for it, but it would be very useful for non-exhaustive enums where consumers care about matching against every known variant.

You can practically use it today by gating on a nightly-only cfg flag. See https://github.com/guppy-rs/guppy/blob/fa61210b67bea233de52c... and https://github.com/guppy-rs/guppy/blob/fa61210b67bea233de52c...
When I was in college (25 years ago) classes were either 5-15 people or 400+; nothing in between.
Well, it's not...it gets most details wrong.
How that works when you need to distinguish between "no value provided" and "a value that is not in the list" - in some applications they have different semantics.
Creating single-purpose RSS feeds with Hugo
You probably do cool down the surrounding area.

But my guess is that the 1w/m² quoted by GP is no where near the energy we get from the sun. Quick Google says sunlight in the order of 1kw/m² (sure that's dependent on where you are, it sun doesn't shine at night, but we're off by 3 orders of magnitude here).

So probably it'll have no effect on surface temperature.

Besides, the heat is mostly released anyways when driving a steam turbine, and the electricity also becomes heat, in your computer or whatever.
I’ll help my friends fight back and frankly ensure the court battle costs Mozilla more than anything they recover. The extent of my actions are to withdraw to the ability I can the prior support I gave them.

If you do so, I'll forward Mozilla's legal team, and the court, a copy of your comments from this thread.

You've admitted that the chargebacks were not justified, and that your sole reason for fighting any litigation resulting from the chargebacks is to inflict financial harm on the opposing party.

The law offers a remedy to deal with situations like this: they can make you pay Mozilla's court costs, meaning that they get the chargebacks back, and all of their legal fees covered. And there is a better than 50/50 chance the judge imposes sanctions on you for wasting the resources of the court (though based on your profile this may not be a meaningful sum to you).

Seriously, talk to a lawyer before you comment any further.
> 281% increase in total staff

Nit: 181% increase

I do wonder what percentage of said "staff" are really just students working to fulfill student responsibility[1] for pennies on the dollar.

[1] https://financialaid.stanford.edu/undergrad/how/student.html
Daniel Dennett thoroughly debunks Penrose' argument in Chapter 15 of Darwin's Dangerous Idea. Quoting reviewers of a Penrose paper ... "quite fallacious,"
"wrong," "lethal flaw" and "inexplicable mistake," "invalid," "deeply flawed." "The Al community [of 1995] was, not surprisingly, united in its dismissal of Penrose's argument."
I don’t believe your second sentence to be true; in fact quite the opposite: research seems infinitely parallelizable.

The discovery part is what happens at the end.
Working with Systems Smarter Than You
Hi all, spending some much time with LLMs these days has me thinking about what happens when these systems actually become smarter than us (ik a controversial opinion for HackerNews). I wrote about what software engineering might look like in the coming decades.

The standard "AI automates X so humans do Y" framework breaks down when AI might excel at both. Instead, I propose four categories of post-AI jobs: owners, high-stakes adapters, low-stakes adapters, and mandated positions.

The post explores how traditional SWE roles will evolve into "SaaS Adapter" roles and what skills will be valuable during this transition.

P.S. If this sounds crazy given your experiences with LLMs, I have some relevant rebuttals/context in the post.
They've had a decade and a half now to invest and diversify. I've been incredibly disappointed in every attempt.

Honestly, just investing the good portion of the revenue from Google in an index fund and treating it like an endowment would probably have done better than they ended up.
Earthquakes! There are couple comments mentioning "fracking" around, that's destabilizing the land by injecting acid to get energy out. The acid is dangerous, and so are breaking up soil deep down.
A law requiring that web providers also provide some minimal webhosting services?

That every broadband connections must come at least with a place where you can put HTML files.
The threat model of one site leveraging the user's browser to covertly and maliciously engage with a third-party site was something that emerged and matured gradually, as was the idea that a browser was somehow duty-bound to do something about it.

Browsers were just software that rendered documents and ran their scripts, and it was taken for granted that anything they did was something the user wanted or would at least hold personal responsibility for. Outside of corporate IT environments, users didn't expect browsers to be nannying them with limitations inserted by anxious vendors and were more interested in seeing new capabilities become available than they were in seeing capabilities narrowed in the name of "safety" or "security".

In that light, being able to acccess resources from other domains adds many exciting capabilities to a web session and opens up all kinds of innovate types of documents and web applications.

It was a long and very gradual shift from that world to the one we're in now, where there's basically a cartel of three browser engines that decide what people can and can't do. That change is mostly for the best on net, when it comes to enabling a web that can offer better assurances around access to high-value personal and commercial data, but it took a while for a consensus to form that this was better than just having a more liberated and capable tool on one's computer.
I've been running first Owncloud, then Nextloud since it became a thing. It mostly works as it should, file synchronisation from mobile devices to user accounts works as intended and since the Vue rewrite of the Files app the file-related UI is adequate, i.e. about as good as you can expect a web app to be. I use various other apps - News, Talk, Maps, Podcast sync, Memories, Notes - which also mostly work just fine. All in all Nextcloud is a good all-round platform which performs it tasks good enough while being easy to manage. There are better file sync apps, better RSS apps, better photo management apps, better communication apps, better mail apps... but hosting all those is a lot of work compared to hosting just Nextcloud with a bunch of apps.
Could you please stop posting unsubstantive comments and flamebait? You've unfortunately been doing it repeatedly. It's not what this site is for, and destroys what it is for.

Normally we'd just ban an account that has been posting like this: https://news.ycombinator.com/posts?id=jumpman_miya, but your account is 7 years old and I don't want to ban it without at least giving you a chance!

If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.
These guys have made huge progress with their closed loop system
https://www.eavor.com/technology/
Even if that’s what they mean (and I agree, that’s plausible, though not obvious) it’s still an asinine statement in the context of their broader thesis: advancements in generative AI are going to power the rise of the solopreneur. In absolute terms, an individual developer may be more productive in 3 years than they are today, but in relative terms, they will still be underpowered when compared to large teams building complex software. It only makes sense if we also assume the consumer and quality bar of today as well — and I don’t think LLMs are expected to crack time travel.

There will still be successful solopreneurs, just as there are today, but the idea that tooling-based productivity gains for individual developers are going to drive a power shift towards solo development and away from team-based companies is stupid.
Chrome with adblock still seems a thing? It's what I'm typing this on and apparently ublock lite works fine with v3.
I wonder whether they adjusted for commute length. I imagine that IF you live close to the office, the RTO is not bad. Plus, if you're close maybe you live in a small apartment and maybe you are single, so the office is also a social place, and having no family means you don't have pressure from other duties.
This is why I've always liked gitk for anything non-trivial.
Are deepsea power cables from Iceland feasable or they'd have to store it as ie. hydrogen to send over?
I'm a strong believer that LLMs are tools and when wielded by talented and experienced developers they are somewhere in the danger category of Stack Overflow and transitive dependencies. This is not a critique of your project, or really the quality of LLMs, but when I see 90% of a 11,000+ loc project written in Claude, it just feels sort of depressing in a way I haven't processed yet.

I love foss, I love browsing projects of all quality levels and vintages and seeing how things were built. I love learning new patterns and sometimes even bickering over their strengths and weaknesses. An LLM generated code base hardly makes me even want to engage with it...

Perhaps these feelings are somewhat analogous to hardcopies vs ebooks? My opinions have changed over time and I read and collect both. Have you had similar thoughts and gotten over them? Do you see tools like Claude in a way where this isn't an issue?
Yeah, it's an A0 flaw. Word on the streets is that it was from modifying the pads to be 5V tolerant.
Entire prompt from Claude coding agent as a clean Markdown file
I Extracted and cleaned it from from the minified javascript file in the node_modules foldecreated on installing the npm package @anthropic-ai/claude-code.The sections are: 1. Code Bash command prefix detection
1. Command prefix extraction examples
2. Command Validation and Security
3. File and Code Handling
4. Path Management and Workspace Detection
5. Jupyter Notebook Handling
6. File Viewing Capabilities
7. Directory Listing
8. Content Searching
9. Security Considerations
10. UI Rendering
11. Constants and Configuration
2. Committing changes with git
3. Creating pull requests
1. Summary
2. Test plan
3. Overview
4. Key Requirements
5. Implementation Notes
4. Memory
5. Tone and style
6. Proactiveness
7. Following conventions
8. Code style
9. Doing tasks
10. Tool usage
1. Available Tools
2. Security Mechanisms
3. Technical Constraints
4. Best Practices
5. Tool Usage Policies
Because the common premise is that private property belongs to the individual and is theirs to direct, not that of the government.
That's never how it worked. Moore's law was never dead. People are just endlessly confused about what Moore's law is.

What ended was Dennard scaling around 2006. Roughly that frequency would keep going up as feature size went down. But because so many people are confused about what is what, you see a crappy muddled message.

Moore's law has been going strong. It must end eventually, current predictions are that it will be in a decade or two.
Neat game. You might want to check out this other git teaching game - https://learngitbranching.js.org/
Sounds great.

Related: Self-Hosting a Firefox Sync Server

https://news.ycombinator.com/item?id=43214294
Ahhh, WWWBoard. Those were the days!
at what point does short term thinking "for decades" become, you know, long term thinking?
Is the market really free enough for WFH vs RTO to be visible?
Penrose is a dualist, he does not believe that function can be computed in our physical universe. He believes the mind comes from another realm and "pilots" us through quantum phenomenons in the brain.
Dozens of U.S. academics lose grants from Minerva Research Initiative
Yet more evidence that Graham Hancock is right - even as far back as 10,000 years ago, humans had the technology to be a seafaring civilization with potentially a world-wide span. Could this advanced technology be the product of the ancient Lemuria civilization that was submerged when the sea-level rose after the end of the Ice Age, and is talked about in the oral tradition of South-East Asian peoples?
> There is a reason these are the same thing that should already be obvious: If you want people to take a job that costs them ~$30,000 more in expenses, you'll have to pay them more. If you split the difference, you both come out $15,000 ahead.

Sorry to be blunt, but I think this is incredibly naive given the current market. Since the explosion of remote work I've seen a ton of offshoring to excellent software developers in Latin American and Europe. There is absolutely zero benefit to paying an American salary in those situations because everyone is remote anyway (and there is enough timezone overlap that everyone can work roughly the same hours).

Workers will simply get fired if they don't come in and execs really want RTO, they're not going to get paid more.
That's true with any neural network or ML model. Pick a few points, use the same algorithm with the same hyperparameters and random seed, and you'll end up with the same result. Determinism doesn't mean that the "logic" or "reason" is an effect of the algorithm doing the computations.
> "Iceland has profitable geothermal, no?"

The USA actually produces far more geothermal power than Iceland. So does New Zealand.

The Geysers geothermal complex in California alone has more than double the capacity of all geothermal plants in Iceland combined: https://en.wikipedia.org/wiki/The_Geysers
Relational databases model data relations (...) and that doesn't really fit a programming languages or, generally, the real world. SQL fits, so it's just easier to use either that or a dsl that follows it more or less exactly so you don't have this mismatch. I find some of the most silly ones prisma/drizzle while EF/Linq works quite well (not sure what you mean amount of work to initialise projects? It's not more than some node express thing these days?) for something that's not a direct mapping. Datalog, prql are also things that work well for me, but usually we usually just use sql directly.
"Prabakhars"?
https://www.aamn.org/ from quick googling. I did find a lot of men in teaching too but it’s almost all targeted at BIPOC.
It's my understanding that reasoning in Sonnet 3.7 is optional and configurable.

I might be wrong but I couldn't find a source that indicates that the "base" model also implements reasoning.
To be clear, this isn't a problem with the breakout board. The issue is inside the microcontroller itself, which, iiuc, is why there is such a long lead time on fixing it.
Perfect my rope vieja recipe and open a sandwich food truck as a side business.
Graham Hancock and his theory on advanced civilizations before a cataclysm feels like it's getting more and more traction given evidence like this. The previous theories of civilization starting 6000 years ago in Mesopotamia seems like it's wrong, given how hard it is to prove strong evidence like this article and other sites like Gobleki Tepe, which is 12,000+ years old.
Enriched uranium would work too. But enriched uranium is roughly speaking the ideal fuel for fission reactors, because it has a large ratio of delayed neutrons vs prompt neutrons. Plutonium has a much lower ratio (about one third of U-235), so plutonium is inherently harder to control. That's why plutonium is not used directly as fuel, but it's used in a mix with uranium (the so-called MOX = mixed oxide fuels). In a design based on mini-fission bombs, you don't care about control, because control is about not letting the reactivity of the core go too high, while here you want it to be as high as possible.