MurphyA/hacker-news huggingface dataset:
by jillesvangurp | 2025-08-09 06:03:03+00:00
Self-hosted SAAS kind of defeats the purpose. The whole point of software as a service is to get rid of the overhead and cost of self hosting.

We deal with industrial customers in Germany. And they always ask about on premise setups. We can do multi tenant SAAS, we can do dedicated hosting (more expensive). But we won't really entertain on premise setups of our produce unless we are talking seven figure deals. That stuff just has to be expensive because it usually means hard to access (firewalled systems without internet access), obsolete (we installed a thingy in 1995!), and requiring lots of hand holding, integration overhead, and all the rest. It's doable technically but we're not going to be doing that for free and it's going to put an enormous burden on my team if we do it properly. That's the point of seven figure deals. It needs to cover all that cost, inconvenience, pain, etc. And it needs to be a sufficiently scary high number that customers will think twice about maybe not going for dedicated hosting instead.

The German industry is being dragged kicking and screaming into this century of course. But regardless, we deal with a lot of customers in various stages of completing their migration to SAP cloud, and otherwise modernizing their setups. They worry about compliance, certifications, etc. Those are the real obstacles.

Infrastructure hosting as a service is also becoming a thing of course. Self hosted no longer means having guys installing AC in your basement and mounting a lot of servers. You can get some nice managed data centers with decent support and all the rest. It's not that different from using cloud infrastructure. Spinning up a new machine might take a bit longer but there are tools and APIs for that. But otherwise it's not that different from a devops perspective. If you orchestrate that stuff properly, there's very little difference.

Paying a premium for public cloud is a thing that companies should question. But they probably shouldn't be buying, installing and managing a lot of hardware. Or be hiring a lot of expensive staff doing that kind of stuff.
by otherme123 | 2025-08-09 06:03:32+00:00
Engineering Explained youtuber made recently a video selling his Tesla (https://www.youtube.com/watch?v=QFLrDaV6nkE), and all his mantainance costs for 60k miles are quite low: about $600, taking out damage from hitting a pothole hard.

The gas savings vs electricity consumed were huge, about $10k
by patrick451 | 2025-08-09 06:04:26+00:00
> The key advantage of doing batched inference at a huge scale is that once you maximize parallelism and sharding, your model parameters and the memory bandwidth associated with them are essentially free (since at any given moment they're being shared among a huge amount of requests!)

Kind of unrelated, but this comment made me wonder when we will start seeing side channel attacks that force queries to leak into each other.
by chronal4720 | 2025-08-09 06:04:43+00:00
> If you take care of it and mostly keep it between 25-75% and don't supercharge it too often

For used cars, you don’t know what the previous owner did.

> For someone that drives 10-15K km a year there's maybe 30 years more driving on this battery (400K km).

EV battery life is more related to calendar age, rather than number of charge cycles and C charging rate.
by famouswaffles | 2025-08-09 06:05:13+00:00
I'm not sure why you think this is just a prompt thing. It's not. Sycophancy is a problem with GPT-4o, whatever magic incantations you provide. On the flip side, Sydney, was anything but sycophantic and was more than happy to literally ignore users wholesale or flip out on them from time to time. I mean just think about it for a few seconds. If eliminating this behavior was as easy as Microsoft changing the early document, why not just do that and be done with it ?

The document or whatever you'd like to call it is only one part of the story.
by Espressosaurus | 2025-08-09 06:05:26+00:00
Different models have different (daily/weekly) limits and are better at different things.

o3 was for a self-contained problem I wanted to have chewed on for 15 minutes and then spit out a plausible solution (small weekly limit I think?)

o4-mini for general coding (daily limits)

o4-mini-high for coding when o4-mini isn't doing the job (weekly limits)

4o for pooping on (unlimited, but IMO only marginally useful)
by Aitech9 | 2025-08-09 06:06:42+00:00
The best tool for converting AI texts to human content أداة تحويل نصوص الذكاء الاصطناعي لمحتوى بشري https://alkoptantech.com/2025/07/humify-ai-alkoptantechs-fre... #AI #GPT #tech #ai #Gemini #GPT5pro #alkoptantech #GeminiPro #googlechat #OpenAl #ChatGPT5 #الذكاء_الاصطناعي_التوليدي #GPT5 #AITech
by devmor | 2025-08-09 06:07:12+00:00
I think people are missing the forest for the trees when commenting on this one. It's not EVs vs ICE, it's Tesla vs everything else.

Tesla has supply chain issues. They have always had supply chain issues. Some people have to beg Musk on social media for attention to get their cars repaired after months and months of waiting.

No one wants to buy a used EV with existing or potential upcoming maintenance issues that may cause it to be unusable for a significant period of time.
by p0w3n3d | 2025-08-09 06:07:17+00:00
I wonder what is the reliability of a used Tesla. Is only the battery failing after some time? I heard that any hit to the battery may make it burn in some time later which is a huge issue, but don't all EV have battery in the chassis?

I can't imagine people not buying used car because the owner of the company said something. Especially if the car is top high innovation in EV
by Brajeshwar | 2025-08-09 06:07:59+00:00
This neat, clean, and simple. I saw a few videos (on YouTube) some time ago, where the DIYer had Ikea Pegboards as a charging station. I really like that. It is extendable, unrestricted, can be isolated from workstations, desk, etc. Complete it with a fire extinguisher nearby should be a good setup.

Look for Ikea Pegboard Charging Stations if you want some inspiration.
by seanwilson | 2025-08-09 06:08:48+00:00
> The semantic information is first present not in markup but in natural language.

Accurate natural language processing is a very hard problem though and is best processed by AI/LLMs today, but this goes against what the article was going for when it's saying we shouldn't need AI if the semantic web had been done properly?

For example, https://en.wikipedia.org/wiki/Resource_Description_Framework and https://en.wikipedia.org/wiki/Web_Ontology_Language are some markup approaches related to the semantic web.

Complex NLP is the opposite to what the semantic web was advocating? Imagine asking the computer to buy a certain product and it orders the wrong thing because the natural language parsed was ambiguous.

> Additionally infoboxes also hold relationships, you might find when a person was born in an infobox, or where they studied.

That's not a lot of semantic information compared to the contents of a Wikipedia article that's several pages long. Imagine a version of Wikipedia that only included the infoboxes and links within them.
by cyberax | 2025-08-09 06:09:15+00:00
> EV used cars are basically dead batteries.

No, they aren't. Here are stats for actual Tesla battery degradation: https://www.nimblefins.co.uk/study-real-life-tesla-battery-d...

So after 200,000 miles or 10 years, you're on average expecting 70% of the nominal battery capacity. My car is at 150k miles, 8 years, and 85% capacity. You can expect more than 300,000 miles on the odometer before the battery dips below 66%.

And mind you, even then the car can work just fine if you don't _need_ range.
by YZF | 2025-08-09 06:09:48+00:00
Compression ratio basically just measures the state of the valves and the piston rings. There are many other parts that can wear out. I've owned many ICE vehicles, cars and motorcycles- you're taking some risk when you buy a used one. If it's an owner that kept meticulous service records, and they're all according to the manufacturer recommendations, and the car is inspected by a good mechanic, then it's likely to be ok. But even then you just never know, they fail on some curve. Lots of aluminum engines end up developing some warpage and head gasket issues. Transmissions aren't as easy to check, you can look at the fluid but if it's been recently replaced that won't tell you much. You can analyze engine oil but nobody does that when purchasing a vehicle (and you don't know when the oil has been replaced).
by ofrzeta | 2025-08-09 06:10:03+00:00
It's not £16 but I got mine (GTS 2 mini) when there was some kind of sale in a huge online warehouse for around 50 Euros. Since then I tried in vain to find it again for that price, until recently someone sold a bunch of new ones on eBay for around 45 Euros. So now I got my spare one in a drawer :) The £16 got no GPS, too.
by whakim | 2025-08-09 06:10:25+00:00
I do not think data stores are a bottleneck for serving embedding search. I think the raft of new-fangled vector db services (or pgvector or whatever) can be a bottleneck because they are mostly optimized around the long tail of pretty small data. Real internet-scale search systems like ES or Vespa won’t struggle with serving embedding search assuming you have the necessary scale and time/money to invest in them.
by xscott | 2025-08-09 06:10:34+00:00
I'm (basically) aware of the details (String, &str, OsString, OsStr, CString, CStr, "star" c_char, and probably some others ("star" const i8, &[u8], ???), and you and I have had this conversation a while back when I had a stronger interest in Rust. I'm not sure if you're correcting me, but you're basically confirming what I said.

As for only needing them when you need them, how could it be otherwise? :-)
by jauntywundrkind | 2025-08-09 06:11:48+00:00
I feel like there's a lot of people who'd be totally fine with an only 240 mile (80%) range car instead of a 300 mile (100%) range car. There's probably plenty of people fine with a 150 mile range car too (50%)!!

We don't need every car to be good at long road trips. Yes, some people will want to either replace the battery or get a newer car. But I think, right now, there's wayyy too much fear over battery longjevity, and that folks are way off base about how many miles a pack is good for.

And ideally, the expected battery life should be a competitive factor in car buying: Teslas seem to be down almost 2x as much after 250k miles (85% rather than 92%). Different batteries will have different battery lifecycles, and ideally, consumers can help nudge the car makers into caring more, but there needs to be information available for generate that demand-pressure. And also crucial: without battery lifecycle information, FUD is going to dissuade a lot of would-be buyers!
by PeterStuer | 2025-08-09 06:12:59+00:00
While your aims are undoutably sincere, in practice for the 'local ai' target people building their own rigs usually have. 4TB or more fast ssd storage.

The bottom tier (not meant disparagingly) are people running diffusion models as these do not have the high vram requirements. They generate tons of images or video, going form a one-click instally like Easydiffusion to very sophisticated workflows in comfyui.

For those going the LLM route, which would be your target audience, they quickly run into the problemm that to go beyond toying around, the hardware and software requirements and expertise grows exponential beyong just toying around with small, highly quantized model with small context windows.

Inlight of the typical enthusiast investments in this space, the few TB of fast storage will pale in comparison to the rest of the expenses.

Again, your work is absolutely valuable, it is just that the storage space requirement for the vector store in this particular scenario is not your strongest card to play.
by Fade_Dance | 2025-08-09 06:13:11+00:00
That's not true at all. Many reliable models from US manufacturers over the past 17 years. Just do some basic research. Likewise, there are plenty of awful models from otherwise reliable manufacturers (Toyota oil burning engines, Hyundai grenading Theta engines).

That said most of the reliable models are passed over. People assume that a recent Chevy Malibu or Buick Regal is an unreliable car, but some of those sorts of cars can hit 200k with ease.
by Disposal8433 | 2025-08-09 06:13:15+00:00
I would have given the same answer. I try every tool out there and I have the experience to know if its useful. I'm an old fart but I'm smart enough to understand that I get great value from my paid software (fonts, software, or subscriptions like JetBrains).

Managers don't know how to code and now give us ridiculous technical advice. We know that they only care about money and don't understand a thing about features.

Last but not least, we get twice more work for the same salary. There is no world where this make sense.
by pbasista | 2025-08-09 06:13:16+00:00
What would you consider to be a cheap enough Tesla Model 3?

A quick search on mobile.de shows that a standard range Tesla Model 3 that is about 3 years old and has a mileage of ~100k km costs ~25k euros. A similar Tesla Model Y costs ~30k euros. Those are final prices for end customer with VAT.
by EagnaIonat | 2025-08-09 06:15:12+00:00
> For $10k, you too can get the power of a $2k desktop,

Even M1 MBP 32GB performance is pretty impressive for its age and you can get them for well <$1K second hand.

I have one.

I use these models: gpt-oss, llama3.2, deepseek, granite3.3

They all work fine and speed is not an issue. The recent Ollama app means I can have document/image processing with the LLM as well.
by chronal4720 | 2025-08-09 06:15:51+00:00
> The gas savings vs electricity consumed were huge, about $10k

Not in California.

Many people charge exclusively at superchargers and pay $42+ for 250 miles of range ($0.60+/kWh peak hours after work).

That’s 6-8 gallons in an ICE car. At $5/gallon this makes EV supercharging more expensive than gasoline.
by nilsherzig | 2025-08-09 06:16:12+00:00
This is actually real, there are a LOT of people over hat r/ChatGPT and I’m told TikTok who have some serious withdrawal symptoms. Apparently they liked to get their egos stroked all the time and can’t comprehend writing with a chatbot which acts a bit more differentiated.

A assume OpenAI knew about this and calculated the amount of money it costed them to have a lot of people befriend their 4o model…
by em3rgent0rdr | 2025-08-09 06:17:59+00:00
For the type of applications I imagine, I wouldn't need more than 1mA of current...just enough to run an attiny-like microcontroller and blink a LED on occasion before going back to lowpower mode. It seems NiMH just doesn't come in those small sizes. I don't know much about ML, I'll have to look into if ML and LiR in the smallest coin size are safe enough. Actually now that I've thought about it more I might be able to just use a small supercapacitor for around an hour if I'm really careful with energy consumption.
by lelanthran | 2025-08-09 06:19:46+00:00
> it should really not be needed for general application development.

That attitude is the problem, I think.

The functionality in question is irrelevant. What is relevant is that, presumably, Windows and Mac and X11 users of Kicad use this functionality.

The onus is on the Wayland team to justify the decision to take away a feature currently in use, not on the user base to justify switching to another system.
by jillesvangurp | 2025-08-09 06:20:09+00:00
The way VC investments work is that it's all very incestuous. Google, MS, etc. have lots of money in VC funded AI startups. Instead of letting them fail the hard way, they usually fail in a soft way via mergers, acquihires, etc.

Mostly when you read about a big company buying a small startup, it's actually an investor bail out. The company has technically failed and the investors basically want to get rid of the failing company in a way that doesn't make them look like muppets. So there's a nice press release, an undisclosed share swap, and tada another successful exit .. of a company and technology that you will never hear from again. This is nothing new. This is what happens to most startups that don't IPO.

Codium was alright a few years ago but by now it's a commodity. Amazing idea of having a little side bar in VS code with a bare bones chat UI that you could hookup to your openAI API key. They build bits and pieces of tech with some merit to it since then of course. But nothing that cannot and is not being replicated by others. Same with Cursor, windsurf and all the other niche players in this market. None of these companies has much of a moat.

And at this point all the big companies have their in house built solutions: Claude Code, Google has Julius, OpenAI has codex, MS has co-pilot, AWS recently launched their own thing. Clearly building these things is not that hard. All the IP is in the models and infrastructure.
by rapsey | 2025-08-09 06:22:20+00:00
evclinic which repairs EVs has a great article about it: https://evclinic.eu/2024/11/03/which-used-ev-to-buy-a-beginn...

Tesla according to them is a great used car to buy. Not all models however.

> Based on our experience and that of our colleagues’ labs at 15-20 different locations worldwide, we have concluded that the battery is the last concern on the list during the first 10 years of an EV’s life, with some vehicles covering a large number of miles with the original battery system. The most common failures within 10 years of using an EV are: 1. Electric motors, 2. OBC chargers, 3. DCDC/inverters, and only in fourth place, batteries.
by whatever1 | 2025-08-09 06:23:23+00:00
Apart from the fact that electric vehicle technology is evolving rapidly, making older models significantly inferior to newer ones, the other significant concern is the concentrated risk associated with used batteries.

While various issues can arise in a used Camry, none of these individually can match the cost of battery replacement. While I can manage a few thousand-dollar service bills, I certainly cannot afford a twenty thousand-dollar bill for a used car.
by jonathanlydall | 2025-08-09 06:24:15+00:00
Even includes a screen protector on a GBP16 item!

Not sure what it’s like in other countries, but here in South Africa you struggle to find a smart phone cover for much less than that.

If you’re at the shops of the local scumbag company with a monopoly on legally distributing Apple products, they don’t offer a cover for less than USD25.

Apple Watch covers cost a bit less at only like USD15.

For screen protectors typical prices are around USD10, but you can point out the lunacy of what they’re charging for a single sheet of plastic and you can get that down to 7.5.

It’s super annoying how much we get ripped off here, having covers and protectors is basically essential and all the sellers here seem to have a secret pact to not charge anything less than completely outrageous prices.
by xscott | 2025-08-09 06:24:25+00:00
More power to you for defending or explaining Rust, but the context of the conversation is comparing multiple "record" types in C# as "bad" to the "one way" in Rust. It's hard to argue that Rust has a simpler story than C#.

There are a lot of almost orthogonal features one might choose for a record type:

Accessor: rec.x, rec.0, rec[0], match

Constant vs Mutable

Reference vs Value

Nominal vs Structural/Anonymous typing

Subtyping for inheritance

Subtyping for sum/union types

And more depending on the language (ownership in Rust)

> tuples store multiple values of the same type.

I'm sure this was a typo. :-)
by asplake | 2025-08-09 06:24:26+00:00
> It seems that the designers of Lisp 1.5 thought of function names as being different from variable names--the Lisp 1.5 interpreter looked at the property list of the named atomic symbol first, and so it can be argued that a function was considered a property of a symbol. The designers used the terminology that a symbol "stands for" a function while a variable "refers" to a value.
by zevon | 2025-08-09 06:24:40+00:00
This may be true under certain conditions but there are many cars around that are much older than 10 years and have never needed major surgery along the lines of an engine replacement. It's not unreasonable to expect a car and its engine to run for the 25 years or more mentioned by the person you were replying to. Maintenance and routine repairs can be had for reasonable prices if you find yourself a good, fair mechanic and drive a car that's not too rare and has an OK spare part situation.
by hnpolicestate | 2025-08-09 06:24:59+00:00
Listen. I can't speak for everyone else. But for me personally, I have on multiple occasions told chat gpt I feel miserable. It gives some useful or useless information back and that's good enough.

The porn too. Not chat gpt but other models. It lets you write good erotic lit. Erotic illustrations. Then will talk you out of depressive funk.

Those are probably more valuable to society than using LLM's to increase Blackrocks quarterly profits .005%.
by DrewADesign | 2025-08-09 06:25:18+00:00
I’m no fan of Zuck or Meta, but this take hits weird for me. It seems like the author is coming up with a bunch of justifications for being mad about meta prioritizing the leisure/social core of the business over the same exact work automation AGI stuff everyone else is chasing, as if there’s some moral imperative to do so. To me it sounds like a good move from a consumer perspective— Most people are more worried than excited about AI in their workplace, and brushing off the collapse of the labor market as “well sure lots of analysis says that, but some doesn’t, so whatever” feels pretty out of touch. The number of people in a position to consider that possibility so cavalierly is pretty small. Offering an alternate take approach people might be more comfortable with in their non-working life doesn’t seem like a foolish bet. I think this author would benefit from taking some time away from the tech business and SV in particular to get some perspective.
by jauntywundrkind | 2025-08-09 06:25:19+00:00
I 100% have been inspired plan9, not actually a tangent at all!

I never spent much time in Acme. I did use wmii as a daily driver window manager for a number of years, which was also 9p based! I wasn't great at scripting it, and the docs have always been basically non-existent for it's 9p interfaces... but I did poke around and look at things, which was super easy to do because it was just a filesystem! I did find this short example of some wmii examples, inside a Chicken Scheme 9p write-up, which is lovely to see online: https://wiki.call-cc.org/eggref/5/9p#utility-procedures

It's a fine distinction, but I do like json2dir and my own work a bit more than 9p because with apps that expose 9p, if the app goes away, so does the filesystem! 9p is an interface to talk to some process state. But if you just keep state on the regular filesystem, it will stick around & persist beyond the life of the process. The downside is your app needs to watch for that state changing, needs to be able to reconcile changes as they happen. On the upside though, now you can use a lot of great filesystem utilities: for example btrfs or zfs snapshots or incremental-backups are going to work as usual!

Being able to easily script your world is-I think- a missing key to unlocking personal computing. Different technologies discussed, but another serendipitous thread on personal computing from today: https://news.ycombinator.com/item?id=44837783
by vunderba | 2025-08-09 06:26:04+00:00
Spot on critical analysis of the blog post "Developers reinvented" by Github Thomas Dohmke which includes such quotes as:

> Many Computer Science (CS) programs still center around problems that AI can now solve competently.

Yeah. No they do not. Competent CS programs focus on fundamentals not your ability to invert a binary tree on a whiteboard. [1]

Replacing linear algebra and discrete mathematics with courses called "Baby's First LLM" and "Prompt Engineering for Hipster Doofuses" is as vapid as proposing that CS should include an entire course on how to use git.

[1] https://x.com/mxcl/status/608682016205344768