MurphyA/hacker-news huggingface dataset:
by buildsjets | 2025-12-31 01:56:57+00:00
For many many years I have kept a design file on a subwoofer which would be far larger than this. 3kW is jack crap. I’m thinking more like 95 KVA, or 76kW at an assumed 0.8 power factor. 3” cone displacement and 18,000 LbF available to drive the cone. Low pass filtered at 2000 hz. I am entertaining all offers from our resident billionaires to quit my job at the jet building factory to create such a device. We can drag it to Burning Man. Our first capex will be this big ol electrodynamic shaker head.

https://www.udco.com/products/electrodynamic-shaker-systems/...
by aggregator-ios | 2025-12-31 01:57:51+00:00
Interesting read. I had the K7A-133R motherboard as it won Anandtech's gold award for the best 4 bank DIMM support. It was $200 IIRC and was one the more expensive boards. Paired it with an Athlon XP 1800+ and Radeon 8500. Funny enough the AMD naming at the time was to reflect how Athlon's lower clock speed (1.5GHz) was a competitor to Intel CPU's (1.8GHz).

Asus was a strong competitor even then and I remember buying one just a few years before the Abit board that supported SD-RAM as well as DDR as a way to ease the transition for consumers.

It was a good time when IRC, AIM, and physical electronics shopping was still a thing. The only big tech presence that techies hated was Microsoft. Sigh.
by energy123 | 2025-12-31 01:57:53+00:00
> There's no evidence of a technological moat or a competitive advantage in any of these companies.

I disagree based on personal experience. OpenAI is a step above in usefulness. Codex and GPT 5.2 Pro have no peers right now. I'm happy to pay them $200/month.

I don't use my Google Pro subscription much. Gemini 3.0 Pro spends 1/10th of the time thinking compared to GPT 5.2 Thinking and outputs a worse answer or ignores my prompt. Similar story with Deepseek.

The public benchmarks tell a different story which is where I believe the sentiment online comes from, but I am going to trust my experience, because my experience can't be benchmaxxed.
by adventured | 2025-12-31 01:58:58+00:00
Your premise is wrong in a very important way.

The cost of entry is far beyond extraordinary. You're acting like anybody can gain entry, when the exact opposite is the case. The door is closing right now. Just try to compete with OpenAI, let's see you calculate the price of attempting it. Scale it to 300, 500, 800 million users.

Why aren't there a dozen more Anthropics, given the valuation in question (and potential IPO)? Because it'll cost you tens of billions of dollars just to try to keep up. Nobody will give you that money. You can't get the GPUs, you can't get the engineers, you can't get the dollars, you can't build the datacenters. Hell, you can't even get the RAM these days, nor can you afford it.

Google & Co are capturing the market and will monetize it with advertising. They will generate trillions of dollars in revenue over the coming 10-15 years by doing so.

The barrier to entry is the same one that exists in search: it'll cost you well over one hundred billion dollars to try to be in the game at the level that Gemini will be at circa 2026-2027, for just five years.

Please, inform me of where you plan to get that one hundred billion dollars just to try to keep up. Even Anthropic is going to struggle to stay in the competition when the music (funding bubble) stops.

There are maybe a dozen or so companies in existence that can realistically try to compete with the likes of Gemini or GPT.
by bccdee | 2025-12-31 01:59:06+00:00
So far what I've been doing is, I look for the parts that seem like they'd be fun to code and I do them myself with no input from the machine whatsoever. It's hard to really understand a codebase without spending time with the code, and when you're using a model, I think there's a risk of things changing more quickly than you can internalize them. Also, I worry I'll get too comfortable bossing chatbots around & I'll become reluctant to get my hands dirty and produce code directly. People talk about ruining their attention spans by spending all their time on TikTok until they can no longer read novels; I think it'd be a real mistake to let that happen to my professional skill set.
by mrandish | 2025-12-31 01:59:18+00:00
> I find it funny that casual observers on the outside are so morally opposed. ... It's really going to help mid market and below, for films that don't have Disney budgets.

Agreed. I also have a few decades of experience in film and television production, mostly in creating and deploying new digital tooling paradigms from 'desktop video' in the 90s to virtual sets to real-time 3D environments. New digital production tools have almost always had the biggest impact enabling low-end and mid-tier creatives, not big budget studio productions. In the early 90s the Amiga-based Video Toaster enabled upstart productions like Mystery Science Theater 3000 and Babylon 5. The Toaster also enabled about 95% more cable-access crap and bad porn but the other 5% was fantastically creative new stuff which couldn't have existed on indy budgets. Dramatic new production paradigms tend to unleash both democratization and disruption. Most people welcome the democratization yet reflexively fear the disruption. Today, few recall the early 90s predictions from the professional production industry of desktop video causing economic and creative doom, despite being widespread and echoed across mainstream media.

While machine learning-based production tools aren't flexible or granular enough yet for more than limited experiments, there's no reason they won't become increasingly useful for real work. IMHO they'll likely have the same kind of democratizing impact as desktop video and the Toaster - 95% more regrettable crap, some of which we're already starting to see but, eventually, also 5% more wonderfully creative stuff which wouldn't have existed without it.
by cyrusradfar | 2025-12-31 02:00:19+00:00
I think it depends on what you call successful.

I've built products that solve my problems and have released one, Intraview.ai -- it's functional, solves a real problem for me and my customers.

That said, as a business goes, it's not a sensation but it's gone from idea to customers using it in less than 6 months. Is it a VC hit, no -- am I happy with where it is and how fast I'm learning -- absolutely!
by sod22 | 2025-12-31 02:01:46+00:00
It’s irrelevant, Google needs to focus on performance enhancements that the enterprise market segment demands - who only operate in the air of objectivity.

If they can achieve that they will cut off a key source of blood supply to MSFT+OAI. There is not much money in the consumer market segment from subscribers and entering the ad-business is going to be a lot tougher than people think.
by ptorrone | 2025-12-31 02:02:13+00:00
i am the writer. which specific emotions are you asking me to mask? confusion? concern? expertise?

the blog is written by people who use these tools — raspberry pi, flipper zero — in classrooms, accessibility projects. occasionally puppet shows. when a policy names devices, brand names specifically, instead of the actual threat, i wrote about it. at least you cannot complain i am ai... oh way, a i adafruit industries ! PAID POST FOR BIG AI

if this is where you get your news, welcome. the weather is still up next.
by tpmoney | 2025-12-31 02:02:27+00:00
And this is why I think intent matters more than the tools. Lets say I had framed the photo when I took it such that the turd was not in the frame. Is that a "fake" photo because I framed it in such a way as to exclude something that was there?

And if shot composition doesn't make it fake, what if I cropped the photo after the fact? I'm removing something the camera captured to better make the picture what I "felt like it should be" just using the removal tool. That's functionally no different from framing the shot differently, but it's modifying the actual captured image.

If we decide that removal, whether by framing or by post-hoc cropping is still "real" and it's the use of a tool that adds something that wasn't there, would the same apply to just cutting a square out of the photo without cropping the rest of the frame? A transparent square would be an interesting artistic choice for sure, but does that then get into the realm of "fake"? What if the square is black or white? Is adding a clearly "post process censor bar" crossing a line into making the photo "fake"?

If those are fine, it's the "adding content that looks like it should be there" is the problem, does that mean that dust or hair removal to remove something that was on the lens make it fake since that would also have to generate what the computer thinks is behind that hair or dust speck?

For what it's worth, I don't think there is a hard line here, like I said intent matters. But I do think that figuring out where ones personal and general lines are and when they might move that line or not is an interesting thought experiment.
by gnabgib | 2025-12-31 02:03:15+00:00
(2015) Popular in:

2020 (225 points, 30 comments) https://news.ycombinator.com/item?id=15436647

2017 (247 points, 44 comments) https://news.ycombinator.com/item?id=15436647

2015 (189 points, 37 comments) https://news.ycombinator.com/item?id=10694538
by johnnyanmac | 2025-12-31 02:04:20+00:00
>That doesn't mean AI is going to go away, or that it won't change the world - railroads are still here and they did change the world - but from a venture investment perspective, get ready for a massive downturn.

I don't know why people always imply that "the bubble will burst" means that "literally all Ai will die out and nothing will remain that is of use". The Dotcom bubble didn't kill the internet. But it was a bubble and it burst nonetheless, with ramifications that spanned decades.

All it really means when you believe a bubble will pop is "this asset is over-valued and it will soon, rapidly deflate in value to something more sustainable" . And that's a good thing long term, despite the rampant destruction such a crash will cause for the next few years.
by eapressoandcats | 2025-12-31 02:04:47+00:00
Unfortunately, it’s not as strong a case as you’d think. One of three cases has to be true: either she was disabled and unable to work, disabled but able to fulfill job duties, or not disabled at all.

In the first case Mongo can likely fire her once FMLA is up (notice that the termination is 12 weeks after she started leave). Disabilities aren’t protected if they leave you unable to perform job duties, which is what Mongo will claim. Notice how the complaint tries to say additional leave is “reasonable accommodation”. Mongo will claim not working at all means you’re not fulfilling job duties and that she used up her FMLA.

In theory if you become unable to do your job due to disability you should get disability insurance, which is mandatory in NY, but it sounds like Prudential rejected the claim, hence the letter from the doctor there.

In the latter two cases, then Mongo will claim that she could come back to work and asking her to was not violating any ADA laws, and that they would have been willing to make e.g. scheduling accommodations for any treatments and so on to accommodate a disability that doesn’t prevent her from fulfilling core job duties.
by raw_anon_1111 | 2025-12-31 02:06:13+00:00
I mean it’s a simple Google search to show that Google isn’t loosing much market share to ChatGPT and most ChatGPT users still use Google.

https://searchengineland.com/nearly-all-chatgpt-users-visit-...

But even more importantly, it obviously isn’t losing money from advertisers to ChatGPT. You can look at their quarterly results.
by abustamam | 2025-12-31 02:06:25+00:00
I agree, but it's hard to get the nuances right. It's easy to roll out a feature to half of your user base. It's a bit harder to roll a feature out to half of users who are in a certain region, and have the flag be sticky on them.

We use Unleash at work, which is open source, and it works pretty well.
by zozbot234 | 2025-12-31 02:06:49+00:00
> Just try to compete with OpenAI, let's see you calculate the price of attempting it. Scale it to 300, 500, 800 million users.

Apparently the DeepSeek folks managed that feat. Even with the high initial barriers to entry you're talking about, there will always be ways to compete by specializing in some underserved niche and growing from there. Competition seems to be alive and well.
by PaulHoule | 2025-12-31 02:07:09+00:00
Back when diclofenac + dmso was rx-only and crazy expensive I tried making my own formulation with ibuprofen and dmso for back pain hoping it wouldn’t tweak out my stomach. According to what I read, ibuprofen would be very well absorbed with dmso.

After applying the ointment I got an upset stomach in minutes so yeah…. It was well absorbed.

https://pmc.ncbi.nlm.nih.gov/articles/PMC3141840/

https://my.clevelandclinic.org/health/drugs/21230-diclofenac...
by bjt | 2025-12-31 02:07:51+00:00
I'll take that bet.

Banks get bailed out because if confidence in the banking system disappears and everyone tries to withdraw their money at once, the whole economy seizes up. And whoever is Treasury Secretary (usually an ex Wall Street person) is happy to do it.

I don't see OpenAI having the same argument about systemic risk or the same deep ties into government.
by CuriouslyC | 2025-12-31 02:08:32+00:00
I've always been fascinated by Japanese craftsmanship and aesthetic spirit. It's lovely in so many ways. At the same time, there's an opportunity cost to doing stuff like in "Jiro Dreams of Sushi" where you drill very simple things to absolute perfection, and I wonder under which circumstances this practice is the right approach versus those where it's sub-optimal given modern tradeoffs.
by rep_lodsb | 2025-12-31 02:08:35+00:00
> tree-like file systems, multiple users, access privileges,

Why should everything pretend to be a 1970s minicomputer shared by multiple users connected via teletypes?

If there's one good idea in Unix-like systems that should be preserved, IMHO it's independent processes, possibly written in different languages, communicating with each other through file handles. These processes should be isolated from each other, and from access to arbitrary files and devices. But there should be a single privileged process, the "shell" (whether command line, TUI, or GUI), that is responsible for coordinating it all, by launching and passing handles to files/pipes to any other process, under control of the user.

Could be done by typing file names, or selecting from a drop-down list, or by drag-and-drop. Other program arguments should be defined in some standard format so that e.g. a text based shell could auto-complete them like in VMS, and a graphical one could build a dialog box from the definition.

I don't want to fiddle with permissions or user accounts, ever. It's my computer, and it should do what I tell it to, whether that's opening a text document in my home directory, or writing a disk image to the USB stick I just plugged in. Or even passing full control of some device to a VM running another operating system that has the appropriate drivers installed.

But it should all be controlled by the user. Normal programs of course shouldn't be able to open "/dev/sdb", but neither should they be able to open "/home/foo/bar.txt". Outside of the program's own private directory, the only way to access anything should be via handles passed from the launching process, or some other standard protocol.

And get rid of "everything is text". For a computer, parsing text is like for a human to read a book over the phone, with an illiterate person on the other end who can only describe the shape of each letter one by one. Every system-level language should support structs, and those are like telepathy in comparison. But no, that's scaaaary, hackers will overflow your buffers to turn your computer into a bomb and blow you to kingdom come! Yeah, not like there's ever been any vulnerability in text parsers, right? Making sure every special shell character is properly escaped is so easy! Sed and awk are the ideal way to manipulate structured data!
by harrall | 2025-12-31 02:08:49+00:00
I use both and ChatGPT will absolutely glaze me. I will intentionally say some BS and ChatGPT will say “you’re so right.” It will hilariously try to make me feel good.

But Gemini will put me in my place. Sometimes I ask my question to Gemini because I don’t trust ChatGPT’s affirmations.

Truthfully I just use both.
by monocasa | 2025-12-31 02:09:18+00:00
And we're probably already starting to see that, given the semirecent escalations in game of cat and also cat of youtube and the likes of youtube-dl.

Reminds me of Reddit's cracking down on API access after realizing that their data was useful. But I'd expect both youtube to be quicker on the gun knowing about AI data collection, and have more time because of the orders of magnitude greater bandwidth required to scrape video.
by throwaway3060 | 2025-12-31 02:09:34+00:00
When has the US used the argument that a judicial system has universal jurisdiction? In the US, foreign policy is the domain of the executive, to the point where court cases involving foreign sovereigns are usually dismissed.

Compared to how much of a mess most of the world's powers are on matters on sovereignty, the US is actually one of the more conservative ones here (e.g., see OFCOM in the UK).
by zmgsabst | 2025-12-31 02:09:46+00:00
Yes — I never argued against VLS cells, but against exclusively VLS cells. I agree with you they’re necessary, including in modern battleships for air defense.

What I’m arguing is that the threat generated by that bombardment capability — against islands in the ASEAN sea, against ports in China, etc — is necessary to force the kind of engagement you want. China has around 1300 medium range ballistic missiles, which is what we’re discussing.

Forcing China to overwhelm your single battleship (and support group, comparing BSG to CSG), depletes around 10-25% of their MRBMs, depending on their ability to penetrate your defenses. If they don’t make that choice, you obliterate the target and move on to the next one because you have 1200 glide bombs and the ability to resupply underway (similar to landing bombs on a carrier).

I don’t think we’re going to agree, but I appreciate you taking the time to give thoughtful criticism!
by nutjob2 | 2025-12-31 02:10:02+00:00
> Because OpenAI stands for AI leader.

It'll just end up spreading itself too thin and be second or third best at everything.

The 500lb gorilla in the room is Google. They have endless money and maybe even more importantly they have endless hardware. OpenAI are going to have an increasingly hard time competing with them.

That Gemini 3 is crushing it right now isn't the problem. It's Gemini 4 or 5 that will likely leave them in the dust for the general use case, meanwhile specialist models will eat what remains of their lunch.
by Froedlich | 2025-12-31 02:10:14+00:00
I'm another who never stopped. I still use matchbox-sized MP3 players, replacing them when they die. Wifi is sparse in my area, and even cellular signals are unreliable (and expensive), so I stayed local-only.

The little players also have discrete "stop" and "volume" buttons or rockers, which means I can pause or adjust volume without having to see the player. Much better than hauling a phone out and spend time navigating menus.

Nobody ever says a word to me, unless I have the earbuds in; then complete strangers will walk up and start talking. Pause the player, remove an earbud, ask them to repeat what they said; they get angry. The usual.
by amber_raza | 2025-12-31 02:10:29+00:00
You just articulated the 'Holy Grail' of automated appraisal. Detecting bias across a career is a massive graph problem compared to checking a single paper. It essentially requires auditing an entire bibliography before synthesis.

I am adding 'Author Reputation/Bias Analysis' to the long-term roadmap. Thanks for the rigorous stress-test today.
Show HN: Easy Habits
by ToJans | 2025-12-31 02:11:04+00:00
Build better habits. No stress. No account. 100% free & offline.

Intended to be used on your phone - as it keeps all storage local there.

I've felt the need for a simple & nice habit tracker for a long time, that keeps all your data local.

So I built it and made it available as a free tool.

(Disclaimer: in the context of another SaaS product, so it has some branding & small reminders to that in there.)

Only static html, all data is saved in localstorage.
Notification work, but only if you keep the webpage open.

Open to suggestions, feedback, ...
by johnnyanmac | 2025-12-31 02:11:29+00:00
It did. I question the issue of "what problem am I trying to solve" with AI, though. Transportation across a huge swath of land had a clear problem space, and trains offered a very clear solution; created dedicated railing and you can transport 100x the resources at 10x the speed of a horseman (and I'm probably underselling these gains). In times where trekking across a continent took months, the efficiencies in communication and supply lines are immediately clear.

AI feels like a solution looking for a problem. Especially with 90% of consumer facing products. Were people asking for better chatbots, or to quickly deepfake some video scene? I think the bubble popping will re-reveal some incredible backend tools in tech, medical, and (eventually) robotics. But I don't think this is otherwise solving the problems they marketed on.
by wild_egg | 2025-12-31 02:12:22+00:00
I still find it so fascinating how experiences with these models are so varied.

I find codex & 5.2 Pro next to useless and nothing holds a candle to Opus 4.5 in terms of utility or quality.

There's probably something in how varied human brains and thought processes are. You and I likely think through problems in some fundamentally different way that leads to us favouring different models that more closely align with ourselves.

No one seems to ever talk about that though and instead we get these black and white statements about how our personally preferred model is the only obvious choice and company XYZ is clearly superior to all the competition.
by yassien | 2025-12-31 02:12:54+00:00
We tend to talk about resilience in terms of uptime: what’s down, for how long, and how quickly it recovers.
But many of the impacts we actually care about don’t appear at the moment of failure. They appear later, when buffers are exhausted, backlogs compound, and disruptions overlap.
This piece looks at that gap. Not probabilities, not AI specifically, but latency: how long systems can degrade before harm begins, how cascades really form, and why everything was back within a few hours is often not a sufficient safety argument.
It’s an attempt to shift the question from is it up? to how long until this starts to hurt? and what that implies for how we measure and optimise resilience.
by starchild3001 | 2025-12-31 02:12:54+00:00
By late 2025, Boston’s Kendall Square biotech hub faces a severe downturn marked by a "biotech winter" of plummeting venture capital and soaring lab vacancies. Caused by high interest rates, domestic policy uncertainties, and intensifying global competition, this crisis has triggered a significant talent exodus, leaving recent PhD graduates overqualified and underemployed as companies freeze hiring to cut costs. The contraction has stalled critical medical research and threatened Boston’s economic stability, though industry leaders remain cautiously optimistic that adaptation strategies—such as AI integration and renewed merger activity—could spark a recovery by 2026.
by gridspy | 2025-12-31 02:12:56+00:00
I told ChatGPT via my settings that I often make mistakes and to call out my assumptions. So now it

1. Glazes me
2. Lists a variety of assumptions (some can be useful / interesting)

Answers the question

At least this way I don't spend a day pursuing an idea the wrong way because ChatGPT never pointed out something obvious.