skysight-inc/HackerNews huggingface dataset:
This is a great point regarding what we ought to consider when adapting our lifestyle to reduce negative environmental impact:

> In deciding what to cut, we need to factor in both how much an activity is emitting and how useful and beneficial the activity is to our lives.

Although I would extend “our lives” to “society”. His own example with a hospital emitting more than a cruise ship is a good illustration of this; and as a more absurd example it would drastically cut the emissions if we remove all humans and replace them by LLMs (which sort of defeats the entire point, obviously, because LLMs are no longer needed).

Continuing this line of thought, when considering your use of an LLM, you ought to weigh not merely its emissions and water usage, but also the larger picture as to how it benefits the human society.

For example: Is it based on ethically sound approaches? (If it is more like “ends justify the means”, do we even know what those ends are?) What are its the foreseeable long-term effects on human flourishing? Will it (unless regulated) cause a detriment to livelihoods of the many people while increasing the wealth gap with the tech elites? Does it negatively impact open information sharing (willingness to run self-hosted original content websites or communities open to public, or even the feasibility of doing so[0][1]), motivation and capability to learn, creativity? And so forth.

[0] https://news.ycombinator.com/item?id=42486481

[1] https://news.ycombinator.com/item?id=42549624
This is Aurora...

https://pages.cs.wisc.edu/~yxy/cs764-f20/papers/aurora-sigmo...
I’m really confused as to how trips to Disney are entering the conversation here. What does that have to do with any of this discussion?
It's not a bit and a half. It is 1.58 or really log(3) / log(2) since it allows for three values, -1, 0 an 1
He recently said that evil people can’t survive long as founders of tech companies because they need smart people to work for them and smart people can work anywhere. There are lots of other examples. Especially read his recent tweets/essays that aren’t about his area of expertise.
Sad but true. I was planning to start trying to commit to some OS last year... but the lack of luck in the Job market put that to a pause.

I need to make sure I can pay off my debt before having a clear mind to focus on being a part of an effort bigger than myself.
OpenAI and others are valued for expected future revenue of running the models. And they were also valued as having magic "secret sauce" in their closed source models. Investors are now pulling back from this kind of company.

Deepseek is open source and based on Meta's open source Llama models. So Meta can easily run Deepseek on their pipeline.

The revenue model for both Meta and Deepseek is to apply the model to their business, not just sell it as a chatbot or API. That's why they publish it, they benefit from the community improvements and ironing out bugs.
No, that's not a second level BTB in that regular direct branches don't seem to use it. It's only for predicting indirect branches.
I don't think anyone actually does that. It just sounds stupid. Why the fuck would you spend your hard-earned vacation days on sleeping when you can do that at home?? Most people take their vacation in the summer because that's when Sweden is nice and they don't waste it on sleeping.

The article reminds me of those you read about Japan. You take some random Japanese word like "bisekatahori" and make it into a thing: Here is why the Japanese love bisekatahori. Everyone in the West should do bisekatahori too. Studies have found bisekatahori good for you.
This is whataboutism in its purest form.
Right because “working for yourself” is likely to lead you to the same profit as even the comp of a mid level employee at any of the BigTech companies.
I prefer accurate sensors over many sensors.

My last watch would measure my heart rate to be in the 140s while sleeping. I have since slept with a chest strap heart rate monitor and do not in fact have a medical condition.

Granted, that was a cheap watch, but I still don't see the use case of a smart watch for health tracking versus phone+100$ chest strap.

I believe the usefulness of these kinds of devices for health tracking is vastly overstated due to lack of accuracy.
Deepseek is not hardware; how could it hurt NVidia? It's found a way to use train data efficiently, but it seems DeepSeeks brings more potential customers to them. It's open a way for small enterprises and individuals. I have lost faith that AMD will fight back against Nvidia. If Apple or another RISC-V-based LLM accelerator hardware manufacturer doesn't respond to NVIDIA, NVIDIA will drive hardware prices skyrocketing, as any monopoly does. It looks like Apple is the one with the most potential to give the answer that will hurt Nvidia.
It's "easy" if you have a place to build an open frame rig with riser cables and whatnot. I can't do that, so I'm going the single slot waterblock route, which unfortunately rules out 3090s due to the memory on the back side of the PCB. It's very frustrating.
I am publishing my content on Udemy since 2016. I made about 200k since then, about 50% of that in the first 2 years.

My courses were about Blockchain Development. We were the first ones there.

It's a side hustle for me.

Like so many other publishers, I have one course that sells really great. I got about 15 courses now published, one sells great, one sells meh, the other ones don't sell at all.

I also have my courses on Packt. Interestingly, I have another course there that sells really great. It's a different one. No overlap. The one on udemy doesn't sell on Packt and vice versa.

I think its pure luck. It's a perpetual motion machine: Once a course sells, it gets recognized and pushed by their marketing team/algo, it gets more visibility and it sells better, which means, it gets recognized and pushed by their marketing team/algo, and sells better ... you get the idea.

Optimize for luck. Be first. Be in a niche. Or have an audience out of udemy you can drive there and drive sales, so it gets recognized by their marketing team/algo.

Which brings me to the second part: I have tried (and failed) to build my own audience. I am a bad marketer. Really bad. Saying marketing and sales are my weak points doesn't do justice at how bad I am at this. I am a builder. I love teaching. I don't love bragging. And marketing/sales for me its a shitshow of shill and brag culture. I can't. And udemy does that for me. They get their cut, I get my cut and I am fine with that. What I don't like is how restrictive they got with analytics, I really can't even guesstimate what is my target audience and cater to them better. But that's a completely different topic.

I got a family and a full time job now and only do this on the side.

Thought you might like the additional info.
No one is going to sacrifice competitive advantage because of a carbon footprint.
I keep reading this comment all over the internet.
I think he should have named it The Gulf of Trump.

There's as much chance of my calling it one thing as t'other.
I think just getting nvidia Project Digits might be the best option. A lot of people when it was announced were underwhelmed. But I think now it could be just the thing for people making their own ai home servers.

https://www.nvidia.com/en-us/project-digits/
You are confusing "want to live in" with "want to vacation in".

If there's one thing I and other Scandinavians always seem to agree on, it's that Scandinavia sucks less for just living your everyday life in, compared to most other countries. Especially true with typical vacation destinations such as the ones in your examples.
Great work. I'm going to use it today. Suggestion: Could you please add a favicon so that the app is recognizable in a browser "pinned tab"?
Wow, this is an incredibly robust CLI. One of the more feature complete (and aesthetically pleasing) terminal UIs I’ve seen. Well done!
Many of my favorite lunch places in Stockholm closes some weeks over the summer, typically first weeks in August but earlier as well.
Certainly one of the most valuable, but I would still say TSMC as there are lots of other steps in the production besides photolithography (etching, ion implantation, vapor deposition, packing, ...).
[According to Wikipedia](https://en.wikipedia.org/wiki/2024_United_States_presidentia...), the parent is correct: Trump won 49.8% of the vote.
There are ignorant people everywhere. There are brilliant people everywhere.

Governments should be criticized when they do bad things. In America, you can talk openly about things you don’t like that the government has done. In China, you can’t. I know which one I’d rather live in.
But would you consider leaving it unattended on your seat and going for lunch to the restaurant car, or for an extended toilet break?
Everyone still remembers when George W. Bush was gonna rename French Fries to Freedom Fries though, right?
I don't think it needs to be sky high. The first story on here was one of a person who just basically wrapped a bunch of transfer protocols into one commend (yes, I'm severely underplaying the time and effort involved).

But I suppose it depends on what sort or magnitude of impact you want to make on the scene.
> more like “ends justify the means at any cost”

Everyone is crystal clear on this, the goal is to replace expensive humans to increase profits.
"25,000 average-sized households per day"

For 20 million users? Great, you just proved that AI energy impact is not big.
Like a fraction of 20 million users over-using AC like it happens, for instance, in the US. Or flying for work continuously without a good reason, also super common, and incredibly more wasteful (~30h flight time of a 737 is like the energy needed for a training, not inference, of a model with 100s of billions parameters).

The point about AI and energy does not make sense, it exists only because there are people that are worried about AI, and need to find something to show it creates damage.

You can install Flux in your fucking laptop and generate images there, and you'll see that to make it as hot (or discharge as quickly) as when you play any modern videogame, it takes a lot of efforts and generated images. And you are running on a battery...

Want to talk about all these stupid Javascript frameworks, that make loading a trivial page so wasteful, energy-wise? Almost everything is worse than AI, basically. The fact that this post is upvoted here on HN, where once there was more critical thinking, is testament on how bad nowadays we are doing.
The cost is developing nuclear power, which we should have never stopped doing
It sounds like if they owe you the training architecture and training data set.
I feel the no-numbers requirement essentially just boils down to replacing `num % 5 == 0` with `num.endswith(('0', '5', 'A'))` - or at least that's what I went with while playing along. Most of the complication (after the author realized they should use base-15) seems self-inflicted from the choice to write it within the type system, which the interviewer advised against.

Fully granted that I'm not familiar with TypeScript, but I find it hard to believe that code like the below is more readable to anyone than the equivalent `for num in nums` loop.

type FizzBuzz<T> = T extends `${_}${_|""}${_|""}` ? `${Fizzer<T>}${Bazzer<T>}${Buzzer<T>}` : "";
type Folded<T> = T extends [infer Head, ...infer Tail] ? `${FizzBuzz<Head>}${Folded<Tail>}` : "";
Kagi News
Once I found Ruby on Rails, I've never looked back. Simply put, no other framework I've worked with (in the Python and JS ecosystems, where I started out years ago), would come close in terms of speed - measured in the number of features as I can ship with Rails. It's just that good, and Ruby is an absolute joy to write.
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.

There is too much damn irrationality in the AI and AI adjacent market right now, and pop articles like this are only making it worse.

Jevons Paradox absolutely holds for model development, and Deepseek should (and is - all my cybersecurity startup peers are investigating the feasibility of building their own models now) be viewed as an opportunity for smaller or medium stage companies to build their own competitive domain specific models, while not having to pay what is essentially protection money to OpenAI or Anthropic.

The only people at risk with the democratization of model development are the investors in foundational model companies

---------

Also, I hope Deepseek FINALLY reprioritizes distributed systems education in CS.

There are too many "ML Engineers" who do not know the basics of OS or Hardware Engineering (eg. Cannot optimize Mellanox hardware, really dig into workload optimization, etc) and are thus burning resources inefficiently. Most MLEs I meet now just import a package and glue code together WITHOUT also understanding the performance capabilities that their compute has.

Most universities in the US either don't require OS or CompArch classes for CS majors (eg. Harvard) or dumb them down significantly (eg. Not going deep into Linux kernel implementation, scheduling, etc).

This is why the entire cybersecurity industry has largely shifted to Israel and India, and the skillset overlaps significantly with MLOps and MLEng (if you know how to implement spinlocks in C you can easily be taught CUDA)

<"Old Man yelling at clouds" rant over>
Millions of people have been displaced in 2024 due to climate induced disasters. I’m pretty sure there are quite a few people concerned about climate change.
It was very cult like with Ziz cutting off members from their friends and the internet. And writing long complicated essays that didn’t make sense if you weren’t in the group.
Show HN: They Tyrany of Rose Colored Blinders
Another post in the continued adventures of me talking into the wind. In this post I discuss one of the most persistent and pervasive issues I have as I navigate life and career. Probably about a 3 minute read and nothing that will change anyone's life but I always like finding people that are in similar situations, and in writing my thoughts down I hope to be that person for someone else.
That was just improper rounding from 1.58 to 1.5. They say 1.58 in other places and explicitly link to https://arxiv.org/abs/2402.17764
That was "foot soldiers".
...Was he?

Is "gets to rename any geographical feature in the general vicinity of the country on a whim" a usual power of the US President? I genuinely don't know the legalities around this, but given that, I would bet that most people who voted for Trump also didn't think they were giving him that power. (Whether they would have chosen to do so is a separate question.)
Because building a frontier model is expensive. But building a model as good as an existing frontier model is cheap (re: distillation).

https://en.m.wikipedia.org/wiki/Knowledge_distillation

So the takeaway is they have no moat
Churchill, right?
Any alternatives? That's like saying that producing food for people is the biggest ecological footprint.
I am sure that a patch which implemented that would be gladly accepted.
Citations, please. This may be a US-centric site, but that does not mean all societies on this planet behave like Americans.
If we assume the indicated 400 W load with a total processing time of 20 s per user query, and 20 mio queries per day (‘daily users’), shouldn’t the daily consumption be closer to 44 kWh? (20 mio x 0.4 kW x 20 s / 3600 s/h) Other than that, the energy use for LLMs is obviously substantial. I seem to remember that the operating costs should be fairly evenly split between hardware (i.e., GPU) depreciation and energy costs.
China's CXMT Memory Chip Breakthrough Beats US Export Controls
> You don’t need an iPhone with AGI. You just need a 5G device with a screen, connected to an AGI.

no the fuck i don't need that. how do you know what i need?
(Curious about HN readers' views about this!)
You have predatory pricing, which is illegal.

According to Wikipedia:

> Predatory pricing is a commercial pricing strategy which involves the use of large scale undercutting to eliminate competition.
Something being a concern and doing something about it are two different things.

I’m concerned about plenty of things, for example regarding my health or relationships, yet mostly fail to take action to address these concerns. The same holds true for the state of this planet; climate change and microplastics all over etc.

I’m sure ”planet health” is in the top1000 concerns for most people not denying climate change.
Aggregating load is useful to get a sense of overall scale, but per use costs are probably a more realistic proxy. One query is ~2Wh. At average retail pricing (17.5c per kWh) that's like... 0.035c per query. You're at like 30 queries before reaching a second cent of electricity.

A monitor is like ~10-20W. So one query is like having your monitor on for an extra 12 minutes a day.

At this scale, there's going to be no consumer side incentive to conserve.
> Also you never replied about paypal not being a real bank,

why should I reply on things which have nothing to do with the discussion?

This never had been about weather PayPal is good or bad or anything, but that it's is very dominant in huge parts of the (western) world _for online shopping_ (not for sending money between people). Something which is a fact weather I like it or not.

> Are you connected to them in any way?

no

through the way you jump from a normal discussion to conspiracy theories is not normal, are you trolling?
The gold rush is over because pre-trained models don't improve as much anymore. The application layer has massive gains in cost-to-value performance. We also gain more trust from the consumer as models don't hallucinate as much. This is what DeepSeek R1 has shown us. As Ilya Sutskever said, pre-training is now over.

We now have very expensive Nvidia shovels that use a lot of power but do very little improvement to the models.
Or people in charge cannot properly evaluate things :)

It is very possible, when things require advanced technical knowledge and experience

><"Old Man yelling at clouds" rant over>

They are too busy deploying ruby apps and juggling jsons over https to mess with ugly cpp, segfaults, kernel details, hardware intrinsics and semiconductors
I don’t think that it got more efficient. It’s that smaller models can train via larger ones cheaply. Think teacher/student relationship

https://en.m.wikipedia.org/wiki/Knowledge_distillation
Denmark launches $2B Arctic security plan, seeks EU unity on Greenland
On my MBP M2 Max 16" with 92GB of RAM, 2 prompts on llama3.3:70b or 1 prompt on deepseek-r1:70b take about 10% of battery. Really makes me nervous when I think about people (ab)using gpt-o1 or 4o for everything.

For a prompt to make the cut, I usually judge whether the task (or the documentation) is boring enough, time-consuming enough, yet precise enough for an llm to give me the solution. If something requires more than three-five prompts then I need to work on it myself and come back with smaller and more precise questions.

IMO, if the green energy industry wants to penetrate an important domain of modern life fast, the serving of open source models seems like a really low hanging fruit.
How do you define “good”? When I looked at contract work briefly in 2023 and 2024, contract rates for enterprise dev and the type of work you find on Indeed was around $60-$80/hour W2. Which is really on the low to median end of even enterprise dev once you take into account no paid PTO, no health insurance, and you can’t even count on working 1800 hours a year.
That appears to be moving the goal posts.

In your grandparent post, you simply stated that more than half the country support Trump; viciousvoxel was refuting that by pointing out that less than half the country voted for him.

How many actively opposed him is immaterial to your initial statement.
The results i did get from deepseek-r1 on their webpage did not match the results i did get from o1-pro.
I did ask it go to a github repo, find the part where the logic of the “export” button is and explain why it doesn’t work (the whole logic is actually missing, won’t work at all).
O1 pro did get it right in the first try while deepseek r1 was heavily hallucinating.
Maybe i am using the wrong model?
I believe in general the business model of building frontier models has not been fully baked out yet. Lets ignore the thought of AGI and just say models do continue to improve. In OpenAIs case they have raised lots of capital in the hopes of dominating the market. That capital pegged them at a valuation. Now you have a company with ~100 employees and supposedly a lot less capital come in a get close to OpenAIs current leading model. It has the potential to pop their balloon massively.

By releasing a lot of it opensource everyone has their hands on it. Opens the door to new companies.

Or a simple mental model, there has been this ability for third parties to get quite close to leading frontier models. The leading frontier models takes hundreds of millions of dollars and if someone is able to copy it within a years time for significantly less capital, its going to be hard game of cat and mouse.
> Chatgpt is arguably more valuable then Wikipedia and Google for studies.

But ChatGPT is just a glorified Wikipedia/Google. For the consumers it's an incremental thing (although from the engineering perspective it may seem to be a breakthrough).
DeepSeek could represent a much larger amount of costumers to nvidia since now people can get an AI while spending less

ftfy
I might be missing something, but DeepSeek’s recipe is right there in plain sight. Most of the cost efficiency of DeepSeek v3 seem to be attributable to MoE and FP8 training. DeepSeek R1s improvements are from GRPO-based RL.

Interesting to note - we have no idea how much R1 cost to train.
To speculate - maybe DeepSeek’s release made an upcoming Llama release moot in comparison.
>“We want them to come back... And we don’t want to give them billions of dollars like this ridiculous program that Biden has given everybody billions of dollars. They already have billions of dollars” Trump said before slamming the US’s CHIPS and Science Act, which his predecessor President Biden signed to invest over $52 billion in domestic chip manufacturing.

He really will just contradict himself in the same sentence if it means he takes full credit for something in the end. Nevermind that he gave out 500 billion to a bunch of trillionaire companies not even a week ago.
If, in order to offset the cost of my AI use, I had to reduce the thermostat by 1/10 of a degree I'd take that trade. But I'm pretty sure reducing my carbon footprint much more than stopping AI use.
No. However, it was wonderful in other ways.
Clients can download reasonably large archives reasonably well. You kinda want to avoid having lots of connections per comment. Even the most recent content can be combined into an archive (along with public keys) and passed around between nodes (favoring nodes that forward it faster and/or have the least invalid signatures) If someone puts a large video in their post it can be a separate torrent that automatically survives depending on the posters popularity and the quality of the video. Those who desire it can pretend it is a block chain and hoard everything.
It is funny that a common refrain on social media regarding Deepseek is "try looking up anything about Tiananmen or Taiwan", when this is the kind of thing happening at home. What's next, Google Maps redraws the American borders to include Canada? The Russian borders to include Ukraine?