skysight-inc/HackerNews huggingface dataset:
> From last time around: The people who kept pushing and took any job, anywhere turned out okay. This translated to a lot of people taking jobs below what they expected to get or having to move when they didn’t want to, but it was ultimately temporary.

I'm going to challenge this as you didn't give specific data to back it up. I read an article recently that did have data, and it made the argument that first jobs, and first salaries, tend to be remarkably "sticky". That is, if you are desperate for a job out of college so take one that causes you to be underemployed and underpaid, that doesn't just stick with you for your first job, but data showed that people were underemployed and underpaid for at least a decade after college.

The advice in this article was to hold out as long as possible for a desirable job, which meant a ton of networking, taking internships if possible, and also possibly additional schooling.

Apologies for not having the article on hand, but here's another one I found in 30 seconds of googling that makes the same argument, with research:

https://www.highereddive.com/news/half-of-graduates-end-up-u...
That doesn't mean they don't want things that may lead to war, and may want them badly enough to risk war, such as Taiwan or parts of Europe.

If the US is weaker militarily, the risk is less and they are more likely to take it.
Is it related to a recent article about new shapes of their bats?

https://news.ycombinator.com/item?id=43536146
Ok thanks, it's often cited by youtubers and I have no idea how to vet it.
Ah I see.

Well, DNG ("Digital Negative") is such a format, defined and patented by Adobe, but with a license allowing free use under certain conditions.

The conditions are somewhat required to make sure that Adobe remains in control of the format, but at the same time they create a commitment and legal implications for anyone adopting it.
That's okay. You can't make a game, or anything, for everyone. I was just suggesting you could ignore the timer. I forgot it was there and hell, you can just play again,
The gallery: https://www.chrispaynephoto.com/general-pencil-1
At the time of release of the A6000, having a mobile app to take a picture (and not having to buy an adapter like some other brands) was cool enough that you could deal with the (at the time, relatively minor) jank.

Biggest thing is they never really improved the mobile apps... and in some cases IMO they got worse.
Shameless plug of personal blog post, but relevant. Still not fully edited, so writing is a bit scattered, but crux is we now have the framework for talking about consciousness intelligently. It's not as mysterious as in the past, considering advances in non-equilibrium thermodynamics and the Free Energy Principle in particular.

https://stefanlavelle.substack.com/p/i-am-therefore-i-feel
I spent four years working at a European fintech that serviced millions of end-users, and we had a self-service GDPR portal for users to export or request deletion of the data we had on them. (In some cases we were required to hold onto certain data due to other laws). Any feature that stored new user data had to get integrated into the tool, and then signed off from legal and the team that maintained the tool.

It got very little usage - maybe a few hundred to a thousand requests per year IIRC. I shudder to think what you could have been doing that would attract that volume of requests. Was it Clearview AI?
good selection of conscripts
We had federal employee turn over every political cycle. It was horrible to the point the two parties got together and created the Federal Civil Service concept so that positions would have stability.
Control Adobe Photoshop / Premiere Pro with Claude / MCP
Proof of concept project to create AI Agents for Adobe tools (Adobe Photoshop and Adobe Premiere) by providing an interface to LLMs via the MCP protocol.

Video examples here:
https://www.youtube.com/playlist?list=PLrZcuHfRluqt5JQiKzMWe...

It has been really interesting playing with this, seeing how well the agents can control the apps, and understand what they should do. Ive been particularly surprised by how "creative" the agents can be, both in solving how to accomplish tasks, but also in seemingly creative choices in what they do. Really excited (and scared) about this space.
Welcome to the machine. What sort of jobs are you applying for? If you haven't worked in your field at all yet, keep your sights low and apply for entry level positions or internships. IME there can be a large gap between what formal education provides and actually producing work. Also, soft skills are very important and often overlooked.

I've interviewed some PhD students that we deep in their field, but they had zero work experience. That, combined with the fact that they were applying to a non-entry level position, meant that I'd be taking a large-ish risk in my position if I were to hire them.
Don't be afraid to:

- Hit up alumni on LinkedIn, even though you've never met them before.

- Cold-call companies.

But at the very least be genuine, and look up what the companies and people do.
For the times I need this type of tool, I sometimes reach for repomix[0]. It does have a webpage[1], although I've never used it.

It supports XML, Markdown, and plain text. XML is the default, and I've found it to perform well, but it might be a good tool to test differences for yourself.

If you're looking for an alternative to repoprompt, I'd recommend checking out Aider's copy-paste mode[2].

[0] https://github.com/yamadashy/repomix

[1] https://repomix.com/

[2] https://aider.chat/docs/usage/copypaste.html
XML works better with Claude. I would assume the same for Openai.
D1 is at least as fast as KV, and in some cases faster: https://github.com/bruceharrison1984/kv-d1-benchmark
It doesn’t mean much in the course of an entire career.

Comparing to other cohorts isn’t useful because you can’t pick your cohort. You are born into one timeline and you play the hand you’re dealt.

There’s a lot of research that people who graduate into bad job markets are more cautious and less risk taking which can make them look like they’re behind peers who are more risk hungry when the market is up. I wouldn’t be surprised if it also makes them come out ahead in periods where the market is down.
Trump Says Tariffs Are Reciprocal. They Aren't
This is an important point. But it doesn't conflict severely with the article.

Sure, to first order, and in the short term, engineering work is often valued more or less at random. The valuation is driven by factors that we can't predict (or that we would really rather not predict).

But to second order, and in the long term, engineering work is often valued according to whether it makes money. Often enough that it's worth paying attention to the article.
I think Trump will cave in eventually if the pressure mounts. He will "make a deal" followed by 180 degree turn, and claim bullshit victory. He likes to bully, but when somebody pushes back he caves in.

Mark my words: Chinese tariffs may stay high, but most other tariffs will much smaller in 3 months.
Become a founder. It's the easiest way to make something people want and get paid a moderately decent salary while you're doing it!
The majority of companies don't want "engineers", but settle for the necessary evil of who they believe are totally fungible "resources". Given how many programmers get into software development for reasons that go against human fungibility, they have to be tricked by the propaganda of being referred to as engineers.
Is there no pipeline--or a job fair? A way to get a moment with prospective employers? It seems tragically stupid if MIT offers no such thing. Applying into the void seems like a fool's errand.
No you can't. Blocks broken without the correct tools do not yield items. In order to find diamonds the agent must first craft an iron pickaxe, which itself requires several other steps.
Personally I don't care what the bar is, honestly

Call it AI, call it LLMs, whatever

Just as long as we continue to recognize that it is a tool that humans can use, and don't start trying to treat it as a human, or as a life, and I won't complain

I'm saving my anger for when idiots start to argue that LLMs are alive and deserve human rights
Talk to peers, friends, even people you do not know that well and ask about their plans. Don't be afraid to ask for help. Crash on a couch for a few months. Keep refining and sending out resumes. Take a job that you might be overqualified for. Early in your career you should accept and work for entry level positions and anticipate that you will be doing this same thing every 2-4 years in order to get to a salary range you are hoping for anyway.

Don't expect or even look for a dream job straight away. Lower your standards. That's what I did, and I ended up where I'm supposed to be in my career after a few years. I took an early risk on a personally important project early in my career and found myself broke and headed home afterward. I just committed myself to taking entry level work and moving jobs several times in order to catch up with my peers who went straight into industry.
Service industry (waiting tables is my go to) doesn't pay well but it does pay...

I worked at Stinkies Fish Camp as a dishwasher fwiw after my 6 years as a Cyber Threat Operator in the AF (2012 government sequestration did wonders to clearance renewals). It sucked, but I lived. Well, survived.

Best of luck, always keep a candle of hope to a wildcard interview!
> we are in Month 4

I know this is shocking, but it hasn't even been 3 months yet. 2 months and 18 days.
Once LLMs fully understand nullability, they will cease to use that.

Tony Hoare called it "a billion-dollar mistake" (https://en.wikipedia.org/wiki/Tony_Hoare#Apologies_and_retra...), Rust had made core design choices precisely to avoid this mistake.

In practical AI-assisted coding in TypeScript I have found that it is good to add in Cursor Rules to avoid anything nullable, unless it is a well-designed choice. In my experience, it makes code much better.
There's a reason horses are so fast; they co-evolved in the Americas with something they had to outrun.
I am a lifetime avid reader but there are very few books I come back to and re-read. I guess the books which impact you the most aren't the ones you'd expect. Here are some that come to mind:

*Novels in Three Lines* - Felix Feneon; like clever sarcastic haiku

*Riddley Walker* - Russell Hoban; It's written in an imagined language making it completely and utterly immersive

*Waiting for Nothing* - Tom Kromer; Great depression era destitution, and travel

*Days of Life and Death and Escape to the Moon* - William Saroyan; In an era of great writers, Saroyan remains wildly under appreciated.

*Really the Blues* - Mezz Mezzrow; Written in 1920s jive slang, it's emblematic of an era

*The KLF* - John Higgs; The book is subtitled "Chaos, Magic and the Band who Burned a Million Pounds" All those things are true and Higgs brilliantly tells the tale.
Ask HN: Will vibe coding make creating throwaway prototypes more common?
Fred Brooks wrote "Plan to throw one away" in the early 1970's.

But in my experience the opposite has been more common: a "prototype" ends up being used in production for a long time.

Now 50 years later, could we use vibe coding to make Brooks' idea come true?
The advice I give to students is to leverage connections, especially family connections, as much as possible. Take any job you that have a family connection to, even if it isn't in tech.

Learn the business as well as you can and then apply your technical knowledge to it.
Also we have social contract that says I won't steal food and other necessities if I can get employment and contribute to society.

So if many people can't get stable employment, where does that leave us?
The impact is minor. SSDs are super durable nowadays and Hibernating for years won't really make a difference. The SSDs will outlive the need for a bigger disk anyway. But technically I agree.
There is ome thing that I don't understand here: wouldn't implementing a custom square wave generator as an AudioWorkletProcessor be a more straightforward approach in this case?
Can you go to grad school while figuring things out?
Currently? Rare earths. Bauxite. Automobiles (the US auto industry is incredibly intertwined with Canada, and to a lesser degree, Mexico). Diamonds.

I'm sure that there are many others that did not come to my mind...
There are many types of request that cannot be made with client-side JS alone, but for those that can, the ability to send those requests client-side would be handy.
> You believe that, if it brings you comfort.

DOW hitting 100k+ and one of each in 'Magnificient 7' reaching 10T+ valuation, one day trip to Mars (conditionally, it has water and oxygen) - will bring me great comfort. It doesn't work that way, my friend!! Many times reality is harsher than it is not. We have to face it regardless of comfort.
Broaden your search. Apply to startups, for less money / more equity - there are plenty of them in the Boston area. Basically just do a sober assessment of how much you need to live on (perhaps with a roommate), add 30% to that and that's your minimal acceptable cash-side compensation. Do that for some time (a year or more), learn, move on. While you work, set aside some money for the rainy day. This is not optional, you have to do it even if you don't set aside a ton. Fundamentally, you have to stand out and you have to start building a track record. How much money you make in your first job is not very important. I'd say what you _do_ in your first job is more important. That's what people see in the resume. Good luck, and remember - you've got the very best education available. Do not sell yourself short in job 2 and so on.
> but I also think hiring someone for [government paperwork] would be the wise choice in most places anyway.

I’m not sure if you’ve ever tried founding a business or fundraising in any other non-Germany country, but this is an insane thing to say imo.

Is this why Germany has no globally relevant software (or hardware tbh) companies founded in the last 40 years?

Are we sure we want to be holding up this model as an example of “a good one”?
A.I. Forecast Predicts Storms Ahead
There is No Such Agency doing that, and definitely not in Utah

https://en.wikipedia.org/wiki/Utah_Data_Center
You wish. I used to think that too. But it turns out, nowadays, every single exam in person is done with a phone hidden somewhere, with various efficiency, and you can't really strip students before they enter the room.

Some teachers try to collect the phones beforehand, but then students simply give out older phones and keep their active ones with them.

You could try to verify that the phones they're giving out are working by calling them, but that would take an enormous amount of time and it's impractical for simple exams.

We really have no idea how much AI is ruining education right now.
If you have an alternative for RL in these use cases, please feel free to share.

When RL works, it really works.

The only alternative I have seen is deep networks with MCTS, and they are quickly to ramp up to decent quality. But they hit caps relatively quickly.
I'm not at all against a new model providing a more solid foundation for a new OS, but it's not going to be garbage collected, so the most popular of the newer languages make the pickings slim indeed.

> But the ongoing CVE pressure is never going to go away.

I think there are other ways to deflect or defeat that pressure, but I have no proof or work in that direction, so I really have nothing but admittedly wild ideas.

However, one potentially promising possibility in that direction is the dawn of immutable kernels, but once again, that's just an intuition on my part, and they can likely be eventually defeated, if only by weaknesses in the underlying hardware architecture, even though newer techniques such as timing attacks should be more easily detected because they rely on being massively brute force.

The question, to me, is "Can whittling away at the inherent weaknesses reduce the vulns to a level of practical invulnerability?" I'm not hopeful that that can occur but seeing the amount of work a complete reimplementation would require, it may simply be the best approach to choose from a cost-benefit analysis perspective where having far fewer bugs and vulns is more feasible than guaranteed perfection. And, once again, such perfection would require the hardware architecture be co-developed with the OS and its language to really create a bulletproof system, IMO.
> but if someone gives me an api doc I can figure out how to use it without them writing a wrapper library around the parts that I need to use to solve whatever problem I'm working on.

I think this is where AI is faling short hugely. AI _should_ be able to integrate with IDEs and tooling (e.g. LSP, Treesitter, Editorconfig) to make sure that it's contextually doing the right thin.

But it's not.
Invalid expression: value of type "probability distribution" cannot be cast to type "boolean".
This is somewhat akin to the U.S. government's SBIR grant program. Phase I (generally $250-500K for a year)to develop and pilot novel tech. Phase II ($1M) to develop scalable tech. And Phase III to go-to-market. (I'm being intentionally brief here as there is a lot of variability between participating agencies).

Because each award solicitation is closely aligned to the industry needs associated with a given agency (DoD, DHS, HHS, NSF, DoEd, DoEnergy, DoCommerce, USDA, EPA, DoT, NASA), you are on a fast-track if you can get into Phase I.

It's a ton of paperwork and bureaucracy --probably even more so under current administration-- but still a great alternative/addition to VC that doesn't take equity and forces you into technical clarity.
On the other hand, when you've used excel enough and start getting 4xxxx results you know excel has parsed something as a date somewhere.
Sorry, it's fixed now.
Big thread a few day ago https://news.ycombinator.com/item?id=43571851
Just came across your comment when googling this and was wondering if you had any thoughts. My understanding is that when startups have the insane levels of advertising on Youtube that Ground News does, it's because they're expected to eventually monopolize the market and generate huge revenue in the long run.

How would that work for Ground News? $2.50/month subscriptions for news aggregation seems a bit un-unicorny, even with data collection and other forms of soft monetization. Do you think it's actually that viable, or are they going to massively pivot?
> If you've been through something similar—late job search success, unexpected turns that worked out, or just any advice—I’d really appreciate it.

So, I can provide my anecdote, at least. It took me the better part of a year after I graduated to find my first job. (That paid real poorly.) I lost that job after a year due to the role being eliminated and my contract not being renewed. I lost my next job at a startup after six months due to the company pivoting. I’ve been at my following job for 10+ years now.
The part where employee whose work improves the life of people around them (by refactoring, work on tech-debt), or the life of people around the world in general (open source, accessibility, etc.) isn't rewarded financially. And somehow capitalists want me to believe people working to advance their own self interests will collectively benefit the society at large.

Also the part where employees have to constantly justify their own existences. I just want to work on interesting things and be left alone.

(To be fair I am exaggerating a bit, and I think the author is, too. I don't think the reality is as bad as presented.)
I never had any internships and I didn't gradute from a well-known university. During my senior year of college, I took on low-paying software development contracts I found on craigslist.

I used this as previous experience and found a job right out of college. I also learned a lot from this experience and used the same skills to find work during the 08 crash and never really had a loss of income during this time.
> Could you run some analysis on how often “p1” wins vs “p8”?

I checked the average finishing positions by assigned seat number from the start, but there weren't enough games to show a statistically significant effect. But I just reviewed the data again, and now with many more games it looks like there might be something there (P1 doing better than P8). I'll run additional analysis and include it in the write-up if anything emerges. For those who haven't looked at the logs: the conversation order etc. are randomized each round.

> My follow up thought is that it would be interesting to let llms choose a name at the beginning

Oh, interesting idea!
Send me an email — I'm an '18 and if you're telling the truth about side projects, interview skills, graduating, etc. then I should be able to help you find a job very quickly, either in my own org or with someone I know who is hiring.

> I’m facing the very real possibility of moving back home to an unstable and abusive environment while continuing to job hunt

You don't have to do this. You can do anything you want you're a free person with your own agency and plenty of skills. There are a million ways you can work around this.

> What helped you push through when it felt like the system failed you?

Realizing that I am owed nothing, and focusing on ways to get what I want. With your background and skills I am certain you can achieve anything you set your mind to as long as you don't put yourself in a subordinate, dependent, position.
Good point!

Yes, if we're talking about coding, luckily we don't need to deal with JSON schema in most cases. But there are places like OpenAI's playground and low-code platforms that don't support Pydantic model definition. I also doubt they will ever add Pydantic support because of the nature of such products.

Besides, I feel we need some automatic prompt engineering for structured output, then it'll probably be better done on JSON schema than on JS/Python code because you can use JSON as part of the prompt. But maybe I'm betting wrong on the future!
This makes it sound like a lot of unnecessary work…
Thank you; the opening paragraph of that article was fantastic.

> American Alsatians were first bred to create a family friendly dog breed that looks like a dire wolf. (The dire wolf is an ancient North American wolf species that became extinct around 13,000 years ago.) This dog has all the benefits of looking like a dire wolf, but it is calm and gentle enough to be a great pet. They are an intelligent, loving and gentle family dog [...]

"Has all the benefits of looking like a dire wolf" is a great phrase, and I think highly relevant to the OP article here and the disagreement I see in the HN comments between the people who think "the benefits of looking like a dire wolf" are self-evident and those who think they're non-existent. :)
My understanding of economics doesn't go further than a few college classes I took, and I have no idea how sophisticated the models are that modern economists are using to make these kinds of conclusions. And Trump's whole approach does seem to be a pretty terrible idea from what I've read.

However, a part of me is curious whether certain political maneuvers (power dynamics etc) are sufficiently captured in modern economic models? Could there be a reason that the Trump administration is continuing to persevere on something that is seen across the board as an objectively bad idea? Is it possible that this is actually smarter than just a poorly calculated ego trip or a means to game the economy for personal profit?
Only Nikons I own are 35mm film FM2 and F4. The bodies feel like tactile bliss. FM2 has a dry lubricated system with crazy titanium honeycombed etched shutter and F4 is the last pro DSLR they made with no menu system.

On the digital front I found Fuji X-Txx series to be like tiny Nikons in their usability with all common controls on dials.