skysight-inc/HackerNews huggingface dataset:
From my stint at a big corporation, the person I knew most closely who "succeeded" the most (for themselves, not for the company) would routinely interview for competitive offers and threaten to leave. I saw on a few occasions this same person lie in meetings to cover their ass to people who were less technical. I know of one person who has somehow managed to do the bare minimum at two full time remote jobs simultaneously.

To everyone reading the comments that describe corporations as the ones who treat their employees with contempt, it's sadly a two way street. It comes down to shitty people polluting expectations at all levels of society, and people dialing back their expectations accordingly.

With all the Luigi talk in the air, it's important to remember this goes for insurance companies as well. Insurance fraud is a huge drain on the industry and it's folks of all levels of wealth committing it. It's a part of the reason why insurers squeeze harder to keep the profits flowing. That's obviously no excuse for delay/deny/depose tactics--I'm just saying that in an environment of fraudsters who add friction to a company that does business honestly, you will find that the cheaters and bad actors will bubble to the top, more so than usual.
This is great I'm going to have to try this out. I've got my own openscad dovetail joint scripts, but this seems more refined.
As a learning exercise, I enjoyed Neural Networks From Scratch: https://nnfs.io/

There's also a world of statistics and machine learning outside of deep learning. I think the best way to get started on that end is an undergrad survey course like CS189: https://people.eecs.berkeley.edu/~jrs/189/
How DeepSeek trained at 1/30 the price
This betrays a fundamental misunderstanding of how the world works. There’s a great bit in Margin Call about this: Kevin Spacey’s character challenges the plan to sell the firm’s entire MBS portfolio with the point that once their counterparties figure out they’ve been sold a bag, they will never trust them again. The firm insists on the plan anyway, so when Spacey tells his floor the news, he acknowledges that this will be the end of many of their careers, and as compensation the firm is giving each trader a $2m bonus for selling through their slice of the portfolio. They’re basically giving them an advance in exchange for making themselves unhireable, because ultimately the economy is made of people working with other people.
Found previous post same link: https://news.ycombinator.com/item?id=42805546
I disagree with it being a premature optimisation. Treating everything that you haven’t already identified personally as a problem as a premature optimisation is cargo cutting in its own way. The attitude of not caring is why npm and various tools are so slow.

That said, I think NPM’s response was totally correct - explain the problem and the tradeoffs. And OP decided the tradeoffs weren’t worth it, which is totally fair.
To Yahoo you're an anonymous person. But your phone company should have other data to verify you. Bank account, sending you a letter. Didn't they ask to you for a passport (depends on country)?
I was around 9 and didn’t speak English at all when I first met a computer with ROM BASIC in it.

My struggles were with understanding the structure and my daily driver was making games. BASIC was sort of harder to get compared to e.g. Pascal cause it was less structured. English was not an issue at all. And print/input/print loop gets boring immediately. You need graphics, and sounds, and a library of these, and algorithms that make it move. I had to imagine that circles were characters and SOUND 50, 2 were the effects.

I remember two instant-games environments - Gambas and Löve2d, but there should be much more now.
That's not how it works. What happens is an organization decides to hire for some reason, now has the problem that good candidates are hard to find. So people say "well I know this guy who I worked with at xxx that's looking for a job".
Those 'progressive ideologies' with influence from Marx are what make all of what we see today happen. From killing people if they cant pay for healthcare to these sociopathic layoffs 'because AI'. So 'influence from Marx' is just nonsense.

The simple reason why other ideas are not compatible with those two are because those 'other ideas' are geared for making this happen to maximize profit of the few. That's why they are incompatible and whenever you allow them this is what you end up with.
As I see it DeepSeek that totally dirupted USA tech industry PxQ projections and, the price part at least, exposing the fact that more efficient cheaper models are possible. They're coping saying that at a lesser P, inevitably there will be a bigger Q due to Jevons Paradox.

I'd say that won't happen immediately, as the industry needs to shift based on this new information, plus, this development erodes confidence in the possibility that industry leaders really know what they are doing.
Relevant SRM #2387 use case
https://github.com/scottvr/PBVD?tab=readme-ov-file#future-ex...

The PB is ~1/3 of the entire materials cost. ;-)

From the BOM:

…

NIST Standard Peanut Butter 1 jar $150 $150
Laser Safety Goggles 1 pair $25 $25
Total Estimated Cost - - $520
> SWI 7 can't guarantee to read all SWI 6 code

> Code written 30 years ago which uses the dot in the old standard way might trigger SWI to try and read it in the Dict.key way and fail.

Why would they do that? SWI 7 reading SWI 6 or ISO prolog code should be rather trivial, shouldn't it?
Seems like an attempt to re-define "the grind". According to Urban Dictionary[0], this has connoted:

staying "on the grind" means to work hard, always be hustling, or otherwise engaged in money-making or woman-procuring activities.

I'm not sure if this really ailgns with the mission statement. It's a phrase that's synonymous with "ambition", which historically had negative meanings[1][2]. Passionate artists for example usually suffer a lot, while the "ambitious" ones go too far in either trading the soul of their art for money[3] or try to restricting others from engaging with it is meaningful ways[4]. In many domains, not only art, prioritizing the grind over production creates a hostile environment where others have to lose. It's not possible to achieve without doing moral injury[5] to one's self.

[0] https://www.urbandictionary.com/define.php?term=on+the+grind

[1] https://www.etymonline.com/word/ambition

[2] https://reference.jrank.org/governance/Ambition.html

[3] https://news.ycombinator.com/item?id=42817713

[4] https://en.wikipedia.org/wiki/Digital_rights_management

[5] https://www.psychologytoday.com/us/basics/moral-injury
That requires re-working the design for the fit tolerance.
> I _strongly_ disagree with a fully cynical response of working only to contract, leveraging job offers for raises, etc

Would you consider employers to be "fully cynical" about their affairs and interactions with employees? I do. Being a happy little cog is it's own reward, but ine has to be clear-eyed about it.

> If people know you are a standout contributor then you will be hired quickly into desirable roles.

You are presenting a false dichotomy - one can be an outstanding contributor while working 40 hours per week.
This only holds water if they are able to retrain frequently, which they haven't demonstrated yet. But if they are as efficient as they seem, then maybe.
I don't think sentiment in the west is turning against the Chinese, beyond well, lets say white nationalists and other ignorant folk. Americans and Chinese people are very much alike and both are very curious about each others way of life. I think we should work together with them.

note: I'm not Chinese, but AGI should be and is a world wide space race.
Not to say that it's always the case, but research isn't always at face value - i.e., sometimes there's circularity, economical or political dynamics, etc, that perpetuate dead ends while neglecting more viable avenues.

An example might be enzymes (notably in cancer research), where in the US there has been significantly less pursuit than elsewhere. To avoid attacks, I'll cite a source[0] which readers can maim rather than my comment.

0. Enzymes, The Fountain of Life
DA, Lopez MD
RM, Williams MD PhD
K, Miehlke MD

In some pirtions of this book, entities other than pinata boy on HN, express concern regarding the quality, fairness or whatever's of research, with indications that 'research' may not always be equally noble or pragmatically guided. I suspect it's one of many where that particular subject is grazed upon. But my point is, if not overemphasized, that there may be quantity over quality issues, with viable options hiding in plain sight.
Hell, searching for my first job changed how I perceive work.

The job market as it is is tough.

Add autism & ADHD to the mix and it gets tougher.

I decided to give as much of a shit about the corporate world as it does to me - which is to say, I stopped searching altogether. I decided I'd rather be unemployed.
Modern finance is the true villain; it removes businesses from the hands of the real founders who understand it and puts it in the hands of clueless MBAs.
Note: if anyone doesn't want to install the uv package manager via piping to shell, the:

pip install uv

also works; more information: https://github.com/astral-sh/uv#installation
Yes, that's essentially what's now called an "intentional community" and is a timeless migration and settlement practice that continues around the world today.

They usually start as modest settlements of like-minded people, drawing in more members as they thrive and bleeding off members if/when politics and drama spoil the relationships among the people that live in them. Many collapse, others transform and sustain, and others eventually integrate back into a world that moves closer to them. Along the way, in their isolation and because of their strict rejection of prevailing norms, they naturally get kind of incestuous and weird in terms of ideology, practice, etc.

While you're free to try to start a new one on your own, if you're inspired to do so, you can also probably find some that are more or less practicing the kind of lifestyle you have mind. But it probably won't be an exact match for your dream, as no two people have quite the same vision of escape or prosperity, which is something that would apply to your hypothetical community as well.
Frankly I hope this pops the AI bubble back to reality. We don't really need a 500B investment in AI. We do need a 500B investment in cleaning up our emissions. Something AI would only make worse.
I'm not sure what you're expecting demography-wise : would you rather have this, an unsustainable population growth or an average lifespan of 40 years ?

But also, yes, in the "West" we've been living way above our means for almost a century now, and the chickens are starting to come home to roost.
That's not tree-shaking.
Too bad Fon didn’t work out, it could have been a global mesh network useful for this kind of thing.
> DeepSeek just further reinforces the idea that there is a first-move disadvantage in developing AI models.

you are assuming that what DeepSeek achieved can be reasonably easily replicated by other companies. then the question is when all big techs and tons of startups in China and the US are involved, how come none of those companies succeeded?

deepseek is unique.
What are your actual goals.

Do you want to learn Ruby. Then go for it. If not pick a different language. Pick one you know.

You might not even need a full backend server. Firebase or Syperbase might be enough
I don't know if this is a good place for feature requests, but the only thing keeping me from switching to this at at the moment is download settings per podcast.

For example, some podcasts I don't want to miss an episode and I want them all downloaded. Other podcasts I only check in on occasionally and would only want the latest episode to be kept on device.

I subscribe to a lot of podcast and downloading and keeping every episode is going to eat up a lot of storage.

Besides that, love the simplicity of it. Well done!
With respect to DeepSeek, I assume you mean the relatively-low cost at which it was allegedly trained? Because the model itself can obviously be downloaded and tested directly.
You are touching on what I would classify as two different kinds of layoffs.

If you're working for a startup, a layoff is a likely outcome. Most startups fail. Those that don't often end up pivoting, often more than once, and cutting costs tends to go hand in hand with that.

Layoffs from big tech companies is a relatively new phenomenon, really only since the pandemic, and they're fundamentally different. It's actually the sort of thing that Corporate America has been doing for decades. In this case, big tech companies make money hand over fist yet they have layoffs, typically ~5% of the workforce every year.

These layoffs will be perpetual because the reasons for them aren't around controlling costs, avoiding bankruptcy or any of the "normal" reasons for layoffs. The goal is suppress labor costs. People fearful for their jobs aren't demanding raises or better benefits. Plus you can dump the work the 5% were doing onto the remaining 95% who won't say no because they're fearful for their own jobs. And that's the point.

The veneer of tech companies being mavericks who were employee-focused is completely over. A lot of the "perks", which are really just part of your cojmpensation package, are getting and will continue to get cut or just made worse through less funding. At some point, you'll start getting charged for those "free" meals.

In 10 years, all the big tech companies will be indistinguishable from Boeing, Lockheed Martin or Northrop Grumman.
> curious why China decided to go ahead with it now when they backed off on the project previously

India is probably the weakest it's been, strategically, vis-à-vis China since its founding.

India has nukes. But China has a superpower arsenal, together with developing ASAT and thus ABM capabilities. China has ports in Sri Lanka and Pakistan, which means it is beginning to develop the capability to blockade India. (India's coastline is deceptively short--Cheseapeake Bay's is longer.) Given India's dependence on imported energy, that's like a two week to 90-day shutdown option on Indian industry held by China. (Caveat: China has not demonstrated blue-water naval capabilities.)

Finally, a lot of India's weapons systems are Russian. Those have both been shown to be worthless against Western kit, which China may be able to rival, and would be compromised in a war between China and India given Moscow's growing subservience to Beijing.
- Fail at the above.

I don’t think this is what happened with DeepSeek. It seems that they’ve genuinely optimized their model for efficiency and used GPUs properly (tiled FP8 trick and FP8 training). And came out on top.

The impact on the NVIDIA stock is ridiculous. DeepSeek took the advantage of flexible GPU architecture (unlike inflexible hardware acceleration).
When I read the title, I suspected it might be about Shopify. Unfortunately, my suspicions were confirmed. The company's handling of layoffs left a sour taste in my mouth.

The way Shopify dealt with its staff departures was unacceptable. The lack of transparency and communication during this period not only eroded trust among employees but also created an atmosphere of fear and paranoia. The constant silent firings, combined with the CEO's outbursts during town halls, have severely damaged the company's reputation.

I've seen a similar situation play out in my own experience when new management was brought in. My team members were suddenly being threatened with being put on notice, leading to a nasty shift in morale and productivity.

It's worth noting that Shopify's actions aren't isolated to large corporations like themselves. Unfortunately, this type of cultural shift has become all too common in many industries and companies. Nonetheless, this specific incident left a lasting impact on me, and I actively discourage any who asks me about working at Shopify - something I haven't done for any other company I've left _or_ been let go from.
All this is good news for all of us. Bad news probably for Nvidia's margins long term but who cares. If we can train and inference in less cycles and watts that is awesome.
In a remarkable piece of wartime diplomacy, German General Adolf Galland notified the RAF of Bader's missing right prosthetic leg and, with Hermann Goring's permission, the RAF was given safe passage to parachute in a replacement prosthetic in a mission called 'Operation Leg'.

Not so remarkable when you consider that tying up RAF planes and burning their fuel on missions like this reduces their combat capabilities. It's the same logic which says that seriously injuring enemy infantry is more effective than killing them, since one dead soldier is one soldier who can't fight but one injured soldier is one soldier who can't fight plus one or two who won't fight because they're evacuating him.

(Of course, Russian doctrine now seems to counter this by leaving seriously injured soldiers on the battlefield to bleed out...)
This is great - as a site owner I especially appreciated that you publish discovered backlinks. I discovered a few that I didn't know about thanks to your service.
More discussion at https://news.ycombinator.com/item?id=42839501
If you watch this video, it explains well what the major difference is between DeepSeek and existing LLMs: https://www.youtube.com/watch?v=DCqqCLlsIBU

It seems like there is MUCH to gain by migrating to this approach - and it theoretically should not cost more to switch to that approach than vs the rewards to reap.

I expect all the major players are already working full-steam to incorporate this into their stacks as quickly as possible.

IMO, this seems incredibly bad to Nvidia, and incredibly good to everyone else.

I don't think this seems particularly bad for ChatGPT. They've built a strong brand. This should just help them reduce - by far - one of their largest expenses.

They'll have a slight disadvantage to say Google - who can much more easily switch from GPU to CPU. ChatGPT could have some growing pains there. Google would not.
Better for whom? I think most people sleep better knowing that they can't be let go for no reason, no notice and no severance tomorrow.

Yes, you can lay off people in Germany, and France, and Italy. But there are rules, notice periods, and mandatory severances, as well as often (country dependent) consultation periods. In what way is that worse for the employee?
Yup. This was like finding an alligator virus in Boston and arguing about whether it's nearest relative was in Alabama or Mississippi... they would be in basically the same direction from Boston.
I really liked the Mixed Reality Toolkit (MRTK) that was co-built with the Hololens. So sad Microsoft canned the hardware and the team at the same time. Still feel like they were ahead of the time, still my favorite VR/XR/AR experience hands down.

Talk on prototyping AR experiences: https://www.youtube.com/watch?v=Wythtg38o0M

Some people keeping MRTK-Unity alice: https://github.com/MixedRealityToolkit/MixedRealityToolkit-U...
The other thing stopping it is the law and the fact that the US dollar is the global reserve currency and that would be a pretty great way to ruin that
like telling people about TB outbreaks and food recalls?

Fight the ideologues, them and their expertise are the problems.
> I just don’t understand why they shut them down in the first place. They couldn’t have cost much to keep running. They provide a huge amount of value in the form of free support for their products. What am I missing?

Businesses are actually pretty stupid, and often make decisions based on narrow and parochial criteria without considering important factors and externalities (from the decision maker's perspective).

For instance, we've had our internal corporate wiki (or wiki equivalent) nuked on several occasions, with little to no supported migration path. The nuking is presented as an "opportunity" to "clean up," and I get the impression they're result of cost-saving migrations (e.g. cancel contract with one intranet provider, because a better deal was to be had with another). I don't think the "owner" of the intranet understands it as anything more than an announcement board and a place for storing FAQs.

The result is we've lost a lot of documentation for apps that at the time of the nuking weren't supported by an engaged and future-thinking developer, who was unwilling to put in the thankless and unfunded legwork to migrate documentation thoroughly. Those apps still need to be supported, it just becomes harder to do it properly.
> Sometimes that means making dumb business decisions like sacrificing an evening to a company that doesn't care, but IMO that sort of thing is worth it now and then.

I sacrifice an evening - but not to my company, but to studying Leetcode to move on to the next company. I also have side hustles that I devote time to.

> when layoffs come your next job often comes from contacts that you built up from the current job, or jobs before. If people know you are a standout contributor then you will be hired quickly into desirable roles. If people think you are a hired gun who only does the bare minimum that next role will be harder to find.

I am helpful to most people when they need help, and they remember this. My code is clean and well architected and well tested, and they can see this too. They also know that I know the language and platform we're using, and general programming (and business) knowledge. Few care whether I'm a "standout contributor" in terms of getting many stories done. Actually if I have a good lead or manager I might go above and beyond for them in terms of doing more.

> a company will never love you back. But your co-workers will.

Well, this is correct. I help my co-workers.

Things are situational. If I got a job helping set up LLM's or something, I might dive in and work a lot of hours just because I feel it is benefiting me too. On the other hand I can be somewhere where it doesn't make sense to work more than forty hours (if that) a week.
But the tea that I like only comes in plastic tea bags!
No experience with McKinsey directly (thank goodness) or any consulting groups like that, but why not invite them to the holiday party? But certainly we should invite "Sheryl from accounting" who is technically a contractor, or the janitor who works for the landlord. These people are coworkers, whether or not our paychecks have the same signature on them.
Bitcoin's use is as a store-of-value. That's it's utility. It has the traits of an ideal store of value. Eventually we may use it as money, but that won't happened until it is much closer to it's ultimate value and the value as stabilised enough to use it as a unit of account.
There's another really good explanation of transmission line theory over here:

https://www.ibiblio.org/kuphaldt/electricCircuits/AC/AC_14.h...

This is the one that finally made impedance "click" in my head.

OP's, however, treats the subject of "loading coils", which I remember hearing about in the context of telephone lines but never really understood until just now.
Hubstaff – From Rails to Rust
Nvidia, AI Chip Peers Tumble on DeepSeek Implications
Pushing undesirable features and products on users like that always ends badly. Pushing AI onto users that use those products for legally protected data is a supremely bad idea. I'll be surprised if they don't get sued.
It feels like that requires an outgoing personality and great people skills that many people just don't have. There's lots of people who are friendly and pleasant to work with, but they don't have the dynamic personality that's going to lead to someone remembering them when an opportunity arises; even if they have they went above and beyond in their work.
“By the time I’m sending my resume, I’m already 99% sure I’m going to get an interview because I’ve already talked to someone.”

This 100%. My resume is always custom tailored to the hr process it’s going through because I position them to only be supplied once that’s one of the final check boxes.