skysight-inc/HackerNews huggingface dataset:
Its because of the em dashes (- is a normal dash, — is an em dash). Very few real people use those outside of writing books or longform articles.

There's also some strange wordings like "back-pocket tests."

It's 100% LLM generated.

What is much scarier is that those "quick reply" blurbs on Android/Gmail (and iOS?) will be able to be trained on your entire e-mail and WhatsApp history. That model will have your writing mannerisms and even be a stochastic mimic of your reasoning. So, you won't be able to even realize a model answered you, not a real person. And the initial message the model is responding to might be written by the other person's personal model.

The future of digital interactions might have some sort of cryptographic signing guaranteeing you're talking to a human being, perhaps even with blocked copy-pasting (or well, that part of the text shows up as unverified) and cheat detection.

Going even a layer deeper / more meta: what does it ultimately matter? We humans yearn for connection, but for some reason that connection only feels genuine with another human. Whereas, what is the difference between a human typing a message to you, a human inhabiting a robot body, a model typing a message to you, and a model inhabiting a robot body, if they can all give you unique interactions?
Rings true for me. Always the sign that you've found someone you can be good friends with when you feel that sense of comfort

I always used to say about my wife in the early days: "being with you feels like being by myself" (meant as a compliment)
> The space race was to the death. Both sides thought that losing meant they'd get nuked or taken over by the other.

... Eh? No they didn't, certainly not by the time people were looking at the moon. By then the nuclear doctrine was very well established. The space race was primarily about _prestige_; it was a propaganda thing. That's why it was dropped so completely once the arbitrary goal was reached; little technology from the Soviet programme and virtually none from the US one were used after both countries reoriented around lower-cost space programmes.
Building a free image CDN with Cloudflare R2 and workers
Government contracts are so big a few of them can sustain a F500 company; for AI, many CDAO contracts are 50-500MM$. If they do a big SI project with it, could be 1-2B$. Money is also guaranteed over 5 years and if the program doesn't get shuttered, the contract will renew at that point (or go to recompete).

That being said it's my understanding that these companies don't have many huge contracts at all -- you can audit this in like 10 minutes on FPDS. Companies need a LOT of capital, time, and expertise to break into the industry and just compliance audit timelines are 1-4 years right now, so this could definitely change in the next couple years.
Let’s face it though

Without ABS the ability for a layperson to brake is greatly diminished

People aren’t going to remember to pump the brakes in an emergency, heck most people don’t even know rhythmically pumping the brakes is a thing
Will they if you just fix their projects long after they've taken credit for the success and moved on? They passed the buck to you.
These two books by Sean Carroll might be good starting points. They're more technical than the usual popular science books but they assume no prior knowledge beyond high school algebra:

https://www.preposterousuniverse.com/biggestideas/
> Why is everything so political it makes no sense to not buy a well engineered product because you don’t agree with someone’s political views.

The "someone" in question literally threw Hitler salutes on an open stage in front of the whole world watching. That's beyond "political views", that's beyond "hysterical takes" - there are lines that plainly should not be crossed.

In any case, Tesla and "well engineered" doesn't match up either, at least when looking beyond the drivetrain. Rust, poor fitting of surfaces, the Cybertruck being too unsafe to legally drive on European roads, issues with modern ECUs, long lead times for basic spare parts... need I continue?
The person says some of what I think much better than me:

https://blogs.lse.ac.uk/impactofsocialsciences/2025/02/17/do...

I am afraid that there is massive and systematic and harmful fraud in research:
https://www.science.org/content/article/potential-fabricatio... as only one example. There are many many others. Very little work in entire fields is actually valid.

I think that the way that authorship is currently practiced has a lot to do with this fraud. Academics with ethics and goodwill can no longer effectively police the system. A large number of academics do not even want the system to be policed.
Show HN: Ship product videos and docs effortlessly
With AI, new products and features are being built in days, not months. Then why should showcasing them take 1000s of dollars and weeks of effort?

Now, you can create studio-quality videos from simple screen recordings, in minutes. And get life-like avatars to narrate them for you. No retakes, no camera, no edits!

And there’s more.

Scripts perfected by AI and text-based video editing.
One-click Translations in over 30 global languages.
Choose from thousands of avatar options, or upload your own.
Instant transformation in your brand.
Professional voiceovers without the studio setup.

All from a single app.

For 1/100th the price and effort, you can now bring your products to life, connect with a global audience, and show the world what you’ve built.

In the last month alone, Trupeer has powered the creation of 10,000+ product videos for our customers. This scale typically requires a large creative team working around the clock—now made faster and more accessible with Trupeer.

This is the common vision we share with Heygen - making visual storytelling accessible to all. So that you can focus on building, while we handle the rest.
This is common knowledge. Fucking pricks should be banned. Ruining H1B prospects for many deserving candidates
Whenever I see somebody riding on a onewheel, I like to think they're at the end of a long calamitous journey that started out in a much larger vehicle.
Related: “Fast Software, the Best Software” – https://news.ycombinator.com/item?id=20517144
I disagree. Hardly doubt golang will break existing code for that, especially considering that structtags are parsed at compile time. It makes a lot of sense to me that the compiler couldn’t care less about it, when that is 100% a library construct.
I predict this comment will age very, very poorly. Bookmarked.
I don't think not liking and not wanting "mega corporations" is a cultural defect. It's a valid stance to have.

Whether the end result of that stance is a good thing is of course debatable.

Personally I'd say I'd rather have a dozen companies providing some service to choose from than one or two gigantic ones.
Tell that to anyone demanding tariffs. I think we are beyond 'making sense' already.
> I ended up disabling github copilot because it was just "auto-complete on steroids" at best

this is good enough sell for me, and it's like sub 1-in-50 that it's "auto-complete on mushrooms" (again my experience, YMMV).

An awful lot of the time, my day to day work involves writing one piece of code and then copy-pasting it changing a few variable names. Even if I factor out the code into a method, I've still got to call that method with the different names. CoPilot takes care of that drudgery and saves me countless minutes per day. It therefore pays for itself.

I also use ChatGPT every time I need some BASH script written to automate a boring process. I could spend 20-30 minutes searching for all the commands and arguments I would need, another 10 minutes typing in the script, another 10-20 minutes debugging my inevitable mistakes. Or I make sure to describe my requirements exactly (5-10 minutes), spend 5 minutes reviewing the output, iterate if necessary (usually because I wasn't clear enough in the instructions).

3-5x speed up for free. Who's not going to take that win?
>> “They must be regulated,” Habeck said. “If necessary, regulated in a way that aligns with our values.”

These EU politicians cannot go away fast enough.

If they make a X clone that will be like if a high scool teacher that everyone despises and mocks starts a club. No-one will want to join it because the people running it are crazy and no-one wants to be a part of their club.

The point of X is that it's not a reactionary platform, it's a platform where you can curate your lists etc.. and you can have a personalized experience.

But an "EU X" would explicitly target a certain group and try to exclude some other group by definition of what they want to achieve.

Obviously the result will be a complete echo chamber.
Why is there a seemingly unending shift in the automobile industry toward digital/electric controls and away from anything mechanical/physical? (I'm not asking about entertainment/cabin items, just the ones that start/stop/move the car)

Is it really as simple as "cheaper to produce"? Is it cheaper to replace?

The article mentions "saves weight and installation space" - it seems this savings come at the expense of massive complexity; how big can the savings be?

As an aside, IMHO every time a component changes to "by wire" the driving experience tends to suffer due to latency.
Sure, but currently we are discussing (inaccurate portrayals of) the community that grew starting in 2006 around Eliezer's writings. I regret that there is no better name for this community. (The community has tried to acquire a more descriptive name, but none have stuck.)
Like 2 years ago I wrote: https://news.ycombinator.com/item?id=34158126

>Many people don't like what the owners of Chick-fil-A are up to but apparently they do really good chicken at fair price so people keep buying it anyway.
I would guess that Tesla is losing the premium they can put to their prices and that is pushing Tesla value to a transactional value. No more apologists for the build quality or features that are pay now get it next year(every year, next year), if Tesla makes good cars and sell them at good price people will buy and if they don't people won't

I still think its true, if Tesla makes good cars they will sell at fair value(no more premium to save the planet). In Turkey for example, no one is protesting Tesla even though there were huge protests in support of Palestine. Musk is literally in the US government, literally was the biggest supporter of Trump who announced ethnic cleansing intentions and no one in Turkey associate the brand with this stuff. For some reason they associate Coca-Cola, Starbucks, McDonald's, Burger King etc but never Tesla. Influencers close to the organizations doing the protests even work with Tesla on promotional content. I tried mentioning this to see what they think in automotive forums, it gained no traction. Tesla's are good value in Turkey thanks to the tax breaks on electric cars, no one wants to hear the political aspects.
Electronics can certainly be made to have appliance-like reliability and consistency. I'm a firmware dev, I'd know. My design philosophy is this: if I'm doing my job right, the customer should never know I exist.

That being said, there's a time and a place for software. Software is a solution to a problem, and I'm not clear on what problem this system is solving. Sure, Bosch's product makes the brake system smaller and lighter. Cool. To what extent does that make the car smaller and lighter? Amdahl's law applies to more than computers. Are we really optimizing the right thing here?
Like always through ads.
I've been in the internet since the early 2000s, I can assure you it does not write like how 'someone on the internet' would write. And when I say that, I mean that for both sides of the internet: it doesn't sound like how 'old school' internet folks would write, but it also doesn't sound like how teens talk either. Neither of these groups write in 'very plain' English regurgitating useless information.

Recent trends/metas in video formats like tiktok and shorts encourage that kind of 'prose', but I haven't seen it being translated into text format in any platform, unless it's written by LLMs.
Why Care About Cost as Software Engineer?
At that point, engine brake with the clutch.
> Agree. Firefox is the only browser I "trust".

Your personal preference does not prove this website is engaging in shady deals, as the person you’re agreeing with claims.

> It does the best job of respecting the user out of any available option.

Maybe. That too is debatable. Mozilla’s track record with Firefox and privacy has been less than stellar as time goes by.

https://www.privacyguides.org/articles/2024/07/14/mozilla-di...
Ahhh - golden age of internet fun. Looks like they sold the domain and/or pivoted a bit. Feel like a modern version would be relatively easy to monetize if someone were to ramp it up again.
The burden isn't on us, it's on people making claims that LLMs do possess theory of mind. You're the one who has to prove it, not us.
For it to be unsprung, you either need a solid axle or you're relying on a CV joint. Putting a CV joint in the mechanical path for braking at highway speeds will definitely kill people.
On the flip side, sqlite is also a great choice in those circumstances. so regardless of attitude, outcome seems good to me.

incredibly well tested for scenarios where data loss is likely, code is in the public domain, available on all major operating systems, included in language standard libraries... it's one of the most ubiquitous pieces of software out there.
Nvidia abandons 32-bit CUDA with its RTX 50 series, breaking PHYSX in older games
> senior managers said that they believe “the company would be better off if Musk resigned.”

Would that even help at this point? The association between musk and tesla would still remain - e.g. musk’s ownership of tesla shares is a pop culture topic at this point.
Effective altruism has different roots than the rationalists (although, yes, the 2 communities have become close over the years). I have seen any statement by Sam Bankman-Fried where he identified as a rationalist.
We scraped 2.2M Shopify customer reviews
The irony is that this will zero the e-book purchases of people that read only in unsupported devices.
If/when you have kids, let them pull you out of your world. Don't skimp on time and attention for them because you're trying to protect your own mental space.

Failure to let them have my attention is my biggest regret from my 30s.
I did that intentionally because the only thing I wanted on the page was the comic panel. I may reconsider and add a small info button in the corner of the page with links to other timescales and the source code.

But I'm also trying not to overthink this too much... It's just a silly little website I made in an evening.
Are you part of the people who said to kids "vote with your wallet if you're unhappy"?

Because i'd love to see the Wenn diagram of people who complain about things being "too political" and people saying to two generations "vote with your wallet" or something among the line of "you're free to buy something else/change operator". Probably a nice oblong.
Musk has spent over a decade linking himself inextricably with the brand. He can hardly turn around and conplain when people go "ugh, that car's associated with that Hitler-salute arsehole, can't buy that"; this is very much something that he brought upon himself.

Frankly there's a reason that you generally don't hear much about the CEOs of most consumer goods companies (the CEO of VW, for instance, is so obscure that he _does not even have a Wikipedia page_); part of the job is to shut up and refrain from causing trouble.
The vast majority of software work is not greenfielding a PoC or reimplementing an existing, small, well-specced project. We’ve had OpenAPI client generators for years after all.

The majority of software work is maintaining large, existing products: adding features, fixing bugs, improving performance, etc., or building new software in problem domains that aren’t so well-defined.
Plus even with all that, the incentives for them will likely be to timebox and accept certain quality as sufficient where you wouldn't need to.

There's definitely tradeoffs and they're very context dependent on your location/circumstances.
Yeah, that reminds me of the concept of externalized costs... they are not "paying" for the whole price (in terms of time of work) that the feature costs. An external force is paying it for them, so life is beautiful and they can afford to keep doing half the work.
Ye it is really strange. Why is there like no "Top 52" rotating the cinema. Taxi Driver one week. Platoon the next. And so on.

Copyright troubles?
I'm not going to use a database that doesn't even have a proper date/time type and treats everything as a string.
...after they've completed all their checklists and are ready for takeoff, of course.
Software development to me has always been about the 80-20 rule. You build 80% of the functionality in 20% of the time. Next you spent 80% of your time to build the remaining 20%.

With LLMs it feels we are getting near to 90-10. Finding the bug in those good-looking pieces of generated code is pretty hard. (After all, you did not pay a lot of attention to the generated code, it looked pretty solid) Some will argue that the LLM should spot the bug, Indeed, it should ask clarifications about the requirements. One day… but you need an expert to understand and answer the questions for that last 10%.
Theres nothing new here. Everyone knows, when you join outsourcing orgs in India, the goal is to go on-site. There is lot of internal politics and toxicity to be in that position to go onsite.

Recently, I have seen these orgs. do the same in europe. They are just bombarding the system with applications.

What is the motivation you ask? For billable resource, rates are different for resource when they are on-site vs off-site. Margins are better too.
NOAA scientists ordered to get clearance before talking to Canadian counterparts
What if the money isn't there either? What if this AI thing lowers costs of everything it touches without generating meaningful financial returns itself?
You'd still need a fairly large amount of compute power to be able to run DeepSeek R1 locally, no?
Markets are funny things.

US right now is run by someone whose explicit promises, if actually implemented, have an obvious immedidiate 13-14% reduction in GDP — literally, never mind side effects, I'm not counting any businesses losing confidence in the idea that America is a place to invest, this is just direct impact.

DOGE + deportation by themselves do most of that percentage. The tariffs are a rounding error in comparison, but still bad on the kind of scale that gets normal politicians kicked out.

And yet, the markets are up.
From the same thread, an AMA by a passenger:

https://old.reddit.com/r/AMA/comments/1is5unz/i_was_on_the_f...

Just to emphasize how insanely lucky they were:

> From inside we didn't see any of the fire, thank goodness! We were all upside down to start with, but many of us were able to release themselves pretty quickly. After that the "upright" of us helped the upside-down until we were all righted and ready to evacuate. We were able to quickly get out the one emergency exit that was safe, the other one poured jet fuel in when they opened it.
> DeepSeek is open source and is on par with o1-pro (is it?)

There is no being "on par" in this space. Model providers are still mostly optimising for a handful of benchmarks / goals, like we can already see that Grok 3 is doing incredibly well on human preference (LM Arena) however with Style Control, it's suddenly behind ChatGPT-4o-latest and Gemini 2.0 is out the picture. So even within a single domain, goal, benchmark—it's not as straightforward as to say that one model is "on par" with another.

> shouldn't we expect that anybody with the computer power is capable to compete with o1-pro?

Not necessarily. I know it may be tempting to think that Grok 3 is entirely a result of xAI having lots of "computer power", but you have to recognise that this mindset is coming from a place of ignorance, not wisdom. Moreover, it doesn't even pass off as "cynical" view, because it's common knowledge that model training is really, really complicated. DeepSeek results are note-worthy, and really influential in some respects, but it hasn't magically "solved" training, or made training necessarily easier / less expensive for the interested parties. They never shared the low-level performance improvements, just model weights and lots of insight. For talented researchers, this is valuable, of course, but it's not like "anybody" could easily benefit from it in their training regimes.

Update: RFT (contra SFT) is becoming really popular with service providers, and it's not been "standardised" beyond whatever reproductions to have emerged in the weeks prior, moreover R1 cost is still pretty high[1] at something like $7/Mtok, & bandwidth is really not great. Consider something like Google Vertex AI's batch pricing for Gemini 1.5 Pro and Gemini 2.0 Flash models, which is at 50% discount, and their prompt caching which is at 75% discount. R1 is still got a way to go.

[1]: https://openrouter.ai/deepseek/deepseek-r1/providers?sort=th...
I wonder, when people will begin read books (or at least learn documentation).

> OpenAI burned more than $5 billion last year.

Well, this is semi-true. When speaking about LLM technology, must be honest, and make difference of base (or foundation) model training, vs fine-tune it for purpose.

Sure, if you just use base model, you also could gain some profit, but real value of LLM achievable if you got already done base model and fine-tune it on your target task.

What this mean - base LLM are just learn language structure from really huge dataset (for example, entire Wikipedia), and this is really expensive, but when you fine-tune LLM from for example, your corporation product documentation, it will become AI-consultant about your corporation. Or you could fine-tune LLM from children story book, and it could indefinitely generate texts similar to that story.
BTW, rumors said, some orgs fine-tuned GPT-3 on their company codebase and have very interesting results on code generation (much better than with base model).

Fact, base model training really cost millions (Llama-2 official cost $5 millions, and I believe it much more than claims of Chinese about deepseek R1 cost also $5 millions).

But fine-tune GPT-4o now cost about 20 bucks for 1 million tokens, and inference is $3.75 per million input tokens and $15 per million output tokens. For GPT-4o mini, training cost is $3 per million tokens, and inference is $0.30 per million input tokens and $1.20 per million output tokens (from official announce on OpenAI developer community).

If you consider fine-tuning of GPT-3 class model (or for example, similar open source model), official prices are just few bucks for million tokens (run it on your own infrastructure will be slightly more expensive), which I think very tolerable and already affordable for small companies.

And I admit, just few Billions of market is not scale of big thing, but I think, it is just because conservative corporate tops, and because security problems of current implementations, and will change nearest years.
There's a lot of feel involved with tools. A bandsaw or a drill or a bridgeport gives you a ton of feedback. Something as simple as torquing a fastener will tell you tons about the alignment of the fastener, the surface roughness, thread quality and tolerances, whether there's swarf at the bottom of the hole, whether you're about to tear threads out...

For macro workflows it could be useful, but on the same level as a non-VR Machine Shop Simulator. 2¢
I think parent was trying to make the point that it is not linear progression, but more bathtub curve where very small places and big cities are similar dead zones. Goth town sweet spot is in the middle.