skysight-inc/HackerNews huggingface dataset:
To add some extra numbers here just to showcase how little energy usage this is.

This means it's adding about 0.012% additional energy consumption to those users energy consumption.

From another angle: Average US house energy consumption is around 30kWh per day. 0.012% of that is 3.75 watt hours of energy per day. This is the equivalent amount of energy as streaming HD video to your iPhone on a 4G network for 1.5 seconds. [0]

So in other words, a 15s youtube ad you are forced to watch on your phone before watching the video you were going to watch anyway takes an order of magnitude more energy than the average AI user according to this article.

[0] https://www.statista.com/statistics/1109623/electricity-cons...
What they meant through the imprecision of their language was that an election was conducted and he won by the rules of the contest, and now as the winner he is exercising authority commensurate with his new position.
Our social machines. A judiciary, political, health, social system which works relatively smoothly
There is an enormous difference for me between inline suggestions and using chat.

If you use chat it's work, and then you have to debug and understand something you didn't write yourself.

Using inline suggestions is the closest I have come to plugging my brain directly into the computer. I type 5 characters and in 80% of cases the suggestion is character by character exactly what I would have written. It speeds me up enormously.
Jevons paradox has been quoted to death here - it really needs pointing out that it points to a commodity in general, not Nvidia. Nvidia is not selling just coal, it's selling a super purified ultra powerful coal only it can make. Jevons paradox just says coal (compute) usage will increase. Not that this specific type of coal will.

And this is quite separate from the business of it. For example Jevons paradox is quite apparent in the airline industry, but airlines are notorious for possibly never having net made a profit because of high capex and aggressive pricing competition. Jevons paradox is not any reason at all for a runaway valuation of a company.
In 2014, that certainly was true. Every open source Bluetooth stack (i.e., Android, Linux and FreeBSD) was buggy and unreliable. Since then they rewrote the Bluetooth stack in Android twice, and finally what's in AOSP is quite comprehensive and reliable. It's now been merged into ChromeOS as well.

I feel like it's the same about many of the items mentioned above, the free/libre offering in that space are a lot more polished than was the case 9-10 years ago. Back then the audio codec was still a patent encumbered minefield, now you can just use opus. The quality and diversity of free fonts is ordered of magnitudes above what it was 10 years ago.

In short, it should be much easier for Eric to fill those gaps with free/open offerings than it was 10 years ago.
Pretty sure I read it on Vox, but it might have been a republishing of the same AP or Reuters source. It was a kind of retrospective of how problematic it is when someone so wrong about so many things is right about something.
Searching for a perfect Linux calendar app
the decision to include the information or not include it in the discussion in the first place, regardless of whether it's objective information
Doing calculations like these is a really bad idea because they muddy the waters, putting the focus on disputable numbers - unless you're willing to do a proper study and really dive into it. It's extremely tiring seeing all these well-meaning people, including possibly this author (unless they're writing this for clout), making this mistake time and time again. You're actively not helping.

There's a much better heuristic. Just look at the contracts that the model providers (MS, Google et al) have recently, suddenly established to buy lots of electricity, spin up nuclear power plants and so on. That's the giveaway and one that doesn't need any calculations. Plus the hundreds of billions being invested in datacentres purely for these models.

You see it in this very comment section, lots of naysayers purely based off the provided, utterly meaningless numbers, when the above facts say it all and renders everything else moot. If the training and inference wouldn't cost insane amounts of energy, they wouldn't be hastily taking up these contracts and investing such obscene amounts in datacentres. That's all you need to know.
This article only discusses image generation, a small subset of AI use cases. As users, governments, corporations, and background processes grow to consume AI all day the water and power issues will grow the same. Whether AI or JavaScript, action is needed ahead of shareholder value.
Did they say which chips they used? And how many? I haven’t seen this in any reporting
> Was open-sourcing Linux a cynical, offensive move to devalue commercial Unix

No, because as Stallman had pointed out Linux isn't GNU. One of the differences between the "open source" crowd and the "free software" crowd is that the latter actually does have an explicit goal of denying proprietary software the ability to exist.
To be fair, capitalism doesn't really work either, you get a very unstable systems with cycles (which people try to stabilize in ad hoc ways), you optimize for the wrong things long term (right now producing much more goods than we need, without factoring in devastating costs that climate change will bring in a few decades, and destruction of nature and eradication of species) and when things crash many people are hurt. And it practically needs wars and destruction to reset wealth distribution every 50 to 100 years.

No communism doesn't work either. I wish there was more alternatives.

And some of the usual examples of "socialism doesn't work" might have worked if US hadn't interfered. E.g. in Chile, no system would have survived US actively supporting Pinochet. We will never know how socialism would have played out there if US (and Soviet too) left it alone.
Decorating is a form of creativity. I might not have drawn any of the art in my house myself (it was made by other human beings in my case, most of whom I've never met) but the choices I made on which art to present, how to position each on my walls, and which room I placed them in were a form of self-expression. Am I going to claim it's a deeply meaningful form of self-expression? No, I'm not. But I think the snearing attitude towards the modern equivalent of teenagers cutting out pictures from magazines and sticking them on their walls is a bit misguided.
Show HN: Experiment ▴ LLM UI for developers with tool use visualization
Hey HN! I built Experiment to solve a common frustration in LLM development: the lack of proper tools for prompt engineering experimentation. Here's what makes it different:

Key Features:

- Load and edit chat completion logs from CSV files

- Fork and modify specific conversation entries

- Run inference via Anthropic, Mistral, and OpenAI

- Define custom tools using JSONSchema format

- Visual tool usage analysis with collapsible, sorted key-value pairs

- Full mobile support and available as installable PWA

Technical Highlights:

- Built with React using custom isomorphic architecture

- Implements streaming SSR and static HTML generation

- Runs on GitHub Pages or as a native binary (Mac/Linux/Windows)

- Progressive enhancement for optimal performance

Why I Built This:

Working with LLMs, I found existing solutions were either too basic (editing code directly) or too rigid (chat UIs with fixed tools). Experiment bridges this gap, offering a flexible middle ground for developers.

Try it out: https://actualwitch.github.io/experiment
GitHub: https://github.com/actualwitch/experiment

Would love to hear your thoughts, especially on the architecture choices and developer experience!
> “We didn’t think China was ever going to compete in AI,” said Dion Hinchcliffe, vice president of the CIO practice at Futurum Research last week.

What? Oh, come on now.
Un Monde Meilleur / a Better World
Looks a bit like a fork of Dokploy, how does it compare?
This comment seems to be complete nonsense. See here https://arxiv.org/abs/2412.19437v1
I agree, but the existing moat that Nvidia has due to CUDA and the entire HPC ecosystem still holds. And this is why it's relevant to treat Nvidia as the majority of the GPU space segment.

Furthermore, it's Nvidia that owns Mellanox - which is the owner of the Infiniband IP which is used in just about every DC or cluster, because no other vendor came as close for interconnect performance
> In the not too distant past, you didn't need money to live.

Are you calling prehistory the not too distance past? From what I can tell from history most useful land was owned by someone. How it was owned varied, from tribes that kept other tribes off their land (no personal ownership), villages that kept protected the local's land, "lords" that had control of various amounts of lands.

Sometimes there were plagues and so for a short time you could find land that nobody controlled, but that didn't last long if the land was useful. It might be enough for you to establish yourself on that land, but it wasn't a constant thing.
Another option is to have the client automatically reconnect. That way your backend can just drop the connection when it needs to, and the load balancing infra will make sure the reconnection ends up on a different server.

Of course you do want to make sure the client has exponential backoff and jitter when reconnecting, as to avoid thundering herd problems.

The relevant state will need to be available to all servers as well. Anything that's only known to the original server will be lost as it drops connections. On a modern deployment with a database and probably redis available this isn't too big of an ask.
The US has prohibited nvidia from exporting to China, so DeepSeek (the company) won’t be a customer, and others wanting to self-host their models have the freedom to pick any hardware vendor.
This has been going on for years. There are no humans to review your ban appeal. Tech companies don't want to spend money on customer service.

And what are you going to do about it? Get into a lawyer slap fight with a foreign trillion dollar corporation?
Seems to me a lot of companies FB, Google, MS all want it (either to compete or to kill it) but don't want to be in the middle of a political mess.
Words have meaning.
My thoughts were that he was describing my Garmin Fenix pretty closely. GPS on-device means I can use all features un-tethered from a phone. I don't use the sleep tracking so I'm not sure how well it does in that arena compared to the competition.
Maybe it is about time that we stop relying on closed gardens, censored and managed on a whim, and start reclaiming our internet and freedom back, publishing in open platforms?
I remember back a few years maybe a decade, Reddit had done something very bad and everyone was looking to migrate. and there spawns Voat, a fantastic website that did everything Reddit did but better. This lasted for about 2 days until it got hit with a massive never ending ddos attack that I don't think the website ever recovered from. After that it was seemingly drowning in nazi spam posts and the owner ended up abandoning it after some years.

Kinda irrelevant rant but this situation reminds me of this. Every time someone disrupts the big dicks of the space they lash out. I've seen the smearing campaign already start on Threads.
Then frankly you weren’t paying attention. This was all laid out in Project 2025 and there were plentiful ties between it and Trump despite his deflection.
This is advice for a world that doesn’t exist any more and hasn’t for a long time. The only thing you are going to do following this advice is to stand out immediately amongst a sea of data that you are someone who is taking very unusual security measures and worthy of a closer look. It’s a very easy to identify signature and it’s very literally the opposite of what you should be doing in 2025.
Thanks! It was initially, and our first early users were individuals, but we received a few comments that this functionality would be more valuable and useful for platforms, so we're also exploring that now, with a couple of platform customers already!
Isn't this what you get with Datomic?
People here quoting Jevons paradox are grossly misapplying it. Jevons paradox will predict an increase in usage of compute for AI. Not Nvidia specifically. The specific insane valuation of Nvidia comes from an unending stream of hundreds in billions in big tech capex, constantly buying cutting edge GPUs, because on SV scaling laws are practically religious commandments. It remains to be seen how this affects Nvidia, but it is not a case of Nvidia like many posts here imply, business wise.
Ya it's a bit of a meta-justice system, throwing out the case doesn't seem like an ideal outcome but it punishes the prosecutors for being sloppy. Sends the message, If you want to send someone to jail for 20 years, don't be sloppy.
I’ve built my career on Rails. I first got paid to write Rails code in 2008, then came back to it in 2015 and have worked in it almost nonstop since then.

It’s a wonderful technology, and it’s still as fresh and relevant as it was when I started. I plan on continuing to use it for the next decade.

My only recommendation is to never listen to a word that DHH says. If you don’t know who I mean by “DHH”, that’s all the better.
but deepseek hasn't claimed the figure touted by everyone for this particular R1 model, cause that 5.6mn was apparently for Deepseek's coder model
Pricy box tick. It costs roughly $250 per person per year
Hi small comment, please remember in china many things are sponsored by or subsidized by the government. "We[china] can do it for less.." , "it's cheaper in china.." only means the government gave us a pile of cash and help to get here .

I 100% expect some downvotes from the ccp.
An Electronic Implementation of a West African Savings Scheme
I have been working on a new electronic implementation of a community savings scheme popular in West Africa called ‘ajo’.

It is a fully peer to peer savings system. The word 'ajo' is a Yoruba word that translates to “group or organisational savings”.

This implementation will enable groups of people pool resources in savings or lottery style pools.
In designing version 1, the goal was simplicity which is why a random order is chosen for the lottery pool. The savings pool tries to emulate the traditional ‘ajo’, while allowing the community completely to manage the custody of the funds without an intermediary.

The main features:
• Savings pools enable participants to save in any ERC-20 token of their choice
• Lottery pools enable participants to pool any ERC-20 token of their choice with a random address winning the pot
• Open and auditable transactions
“okay boomer” (context: I’m 50, I am being sarcastic/self deprecating).

That might have been feasible pre 2020. But once I started working remotely and looking for jobs outside of the metro area where I spent most of my career, the usefulness of my network dropped dramatically.

In my case, I also did a slight pivot and my old network of people who I worked with for the first 25 years of my career can’t speak to my current suitability for a job.

You would see the same from someone early career. Their skills would progress so fast it would be crazy to ask someone for a reference who worked with them when they were 22-24 and now they are 27-30.
Pretty crazy that such a fundamental question the shape of the universe is still so unknown!

Also interested to see how else the idea of "Hearing the Shape of a Drum" can be used in other fields.
You have to start somewhere, and then economies of scale can work their magic. The most inspiring example in the last 30 years is probably photovoltaic solar panels.
Wait until some surprise new silicon suddenly appears
AIMO Progress Prize 1
Data points extracted from 7 and 11 minutes of videos using its transcripts.

1. "How Much YouTube Paid Me For 4,700,000 Views"

"For these 66 videos of my original music equating to 4.7 million views is roughly £4867 or just shy of $6000" "That carbon fiber guitar video I made four years ago is currently at an income of £739" "A few factors come into play there: it's a 13-minute video so it has plenty of time for ad breaks and YouTube likes it when you make people stick around which is much harder to do with a single song at just 3 and a half minutes"

(The video about her revenue got 1.1 million views)

2. "How much I made on YouTube last year (2022) // Teacher YouTube Money Talk"

"I've been putting out educational videos on YouTube for almost 10 years now. I've been monetized for two of those years and now I have just over 8000 subscribers [...] here it is 4101.22 okay so you can stay around for the rest of the video"
My startup yetto.app offers such an integration out of the box. We’re building a support tool that integrates with all sorts of communication platforms (email and Slack, but also GitHub, Jira, Zendesk, Linear, and SMS).
Eurosport is closing down in the UK – cycling will get more expensive to watch
The DeepSeek V3 paper says they used 2.8 million Nvidia H800 hours in a cluster of 2048 of them.
New FCC Chairman Drops Bulk Internet Billing Ban for Apartments
It's very helpful for race training. Speed work targets various paces, endurance I want to hold a certain pace over time, etc. I (and many people) have a tendency to go much too fast for long distances, so pace targets help me stay where I should and be able to go the distances I want. When I was just getting started I didn't use much technology, but training's gotten a lot easier with my Apple Watch.
> Jevons paradox

Nobody knew what it was yesterday and now everyone is using it as if they came up with the idea themselves

https://trends.google.com/trends/explore?date=today%205-y&q=...
I don't think the part about the market reaction is too surprising, for COVID it took a while for the market to react as well.

Seeing that DeepSeek-R1 has benchmark scores like o1 is not the same as seeing that people actually like it, that it's being adopted, and that stated training costs are getting accepted as credible.

(But I agree that there is a lot of irrationality in these markets.)
It is easy to say it's complicated, but you've inadvertently illustrated just how easy it is to say that it's simple too.
It still is. The DeepSeek R1 is 670B parameters, requiring more than 300GB of video ram (or unified memory), even if using 4-bit quantized models.
Maybe I missed this in my skimming of the article, but; the obvious question is ‘what fraction of their time do these instructors spend on Udemy work’. I doubt most people teaching a course or two at a traditional learning institution get paid a full time salary either - even at institutions that pay well - because their work is not full time.
> There was no market reaction when Deepseek r1 was released.

> There was no market reaction when Deepseek v3 was released.

> There was a massive market reaction when a Deepseek app was released.

This signals that there was money on the table by paying attention to the underlying tech.
To me, that’s either where a real editor shine (vim or emacs macro) or that’s when you need a metaprogramming capable language.
I can guarantee you that no large tech company takes the time to find shared connections.

On the other hand, why would I have connections who I didn’t make a good impression on? they are useless to me.

I currently work at a 600 person company, I just invited everyone as reference that popped up as a suggestion - I did the same at AWS. Good luck trying to find the people who actually worked with.
Anyone who's supposed to receive that money has standing and a federal judge can quickly rule that the status quo must remain while the case proceeds. The Trump administration can appeal that ruling but I think it would make it's way through the available steps relatively quickly.
I don't for a minute believe Deepseek v3 was built with a $6M rental.

Their paper (arxiv 2412:1947) explains they used 2048 H800s. A computer cluster based on 2048 GPUs would have cost around $400M about two years ago when they built it. (Give or take, feel free to post corrections.)

The point is they got it done cheaper than OpenAI/Google/Meta/... etc.

But not cheaply.

I believe the markets are overreacting. Time to buy (tinfa).
It's definitely not looking good. Now that we have more open source models, for better and for worse, we have to worry about politically motivated amateur's and vigilantes too.
i don't think they are gonna allow chat gpt while giving the end semester exams, right? or quizzes/assignments? Unless there is some homework aspect to it, it still can act as a tool not a crutch. If student's use it as a crutch, then yeah they are not gonna do as well I presume.
https://archive.ph/5LJor
"usually" is the key word there. A previous employer had a "learning" team that used their slack bot to send unblockable DMs to everyone in the company every time they released optional employee trainings. "Work like an NBA player!" The manager was verbally abusive to anyone who brought it up as an issue too.

They didn't program the bot very well though, because it had a separate employee->acct list from the org that you could modify to change who was messaged.
What does that have to do with my comment?

You realize that the current mess is a reactionary response to activists, right?
20M lives at risk after funding for AIDS medication suspended
NVDA could go to zero and he’d still be a multi billionaire. His worst nightmare isn’t very bad.
I live in Sweden as well, but wasn't born here. I don't really get all this summer home obsession, especially the really cheap ones with no plumbing. I really appreciate the modern basic needs.

Company did a company event in the Stockholm archipelago with sauna and dipping into the cold water. Sure it was fun but like, I wouldn't be able to endure it more than one night without a proper toilet and shower.

I can appreciate cozy and isolated places, but lack of power and plumbing is not cozy.
> For 20 million users? Great, you just proved that AI energy impact is not big.

You missed that this was just a calculation of Midjourney power use, and you missed the next paragraph:

"Keep in mind that our example only touches image generation services. Let's not forget about other AI services like ChatGPT, Gemini, Claude, Deepseek—and all their versions and variations. The list, and energy waste, continues to grow."

> Almost everything is worse than AI, basically.

I am glad you brough this up. AI just adds to it all.
I'm an alphalfa male. I sometimes eat vegetables.
Everything I know about ML is self taught. My local Uni has a ML Engineering degree that's relatively new. Every once in a while I look at the curriculum, outside of some higher lvl math, 90% of that four year degree consists of topics I "mastered" in the first 6-12 months of self study trying to build prediction models for various sports.
I don't understand why it's bad for Nvidia either.

The fact that DeepSeek-R1 is so much better than DeepSeek-V3 at various important tasks means that Chain-of-though / thinking-before-answering models are better. But they are also more compute intensive at inference time than their instruction non-thinking counterparts.

So even if the DeepSeek-V3 pretraining + GRPO COT post-training procedure was cheaper than anticipated to reach o1 grade performance, inference is still costly, even if you use a distilled model.
The simplest explanation for this would be that spammers are not targeting Mastodon.