skysight-inc/HackerNews huggingface dataset:
How is a small government authoritarian? By nature, it is the opposite... You have freedoms to do as you please without government interference.
I this case it’s just one company that everybody knew was risky going in at least.
With subway lines costing a billion dollars a mile that just makes no sense.
I understand you were trying to make “up and to the right” = “best”, but the inverted x-axis really confused me at first. Not a huge fan.

Also, I wonder how you’re calculating costs, because while a 3:1 ratio kind of sort of makes sense for traditional LLMs… it doesn’t really work for “reasoning” models that implicitly use several hundred to several thousand additional output tokens for their reasoning step. It’s almost like a “fixed” overhead, regardless of the input or output size around that reasoning step. (Fixed is in quotes, because some reasoning chains are longer than others.)

I would also argue that token-heavy use cases are dominated by large input/output ratios of like 100:1 or 1000:1 tokens. Token-light use cases are your typical chatbot where the user and model are exchanging roughly equal numbers of tokens… and probably not that many per message.

It’s hard to come up with an optimal formula… one would almost need to offer a dynamic chart where the user can enter their own ratio of input:output, and choose a number for the reasoning token overhead. (Or, select from several predefined options like “chatbot”, “summarization”, “coding assistant”, where those would pre-select some reasonable defaults.)

Anyways, an interesting chart nonetheless.
Specifically ketamine is only a Schedule III controlled substance. Any physician can prescribe it to any patient and it's available through the normal pharmaceutical system. It's not one of those really dangerous, addictive Schedule I drugs like marijuana.

https://www.dea.gov/drug-information/drug-scheduling
I'm impressed by not only how good deepseek r1 is, but also how good the smaller distillations are. qwen-based 7b distillation of deepseek r1 is a great model too.

the 32b distillation just became the default model for my home server.
this. unconditional love is not blind love. but it means that i am not being needlessly criticized for my faults but receive care and encouragement to work on them. it means that i am treated with compassion, even if i am a criminal. it doesn't mean that i get a free pass to do whatever i want. if i hurt someone, i need to fix that, especially if it is my partner.

and the same goes in reverse. i love my wife and only wish the best for her. but that does not mean i need to be blind to her problems, or not expect her to stop doing things that hurt me or others. but it does mean that my love for her does not stop even if we should separate.

however, this assumes a different kind of love than the love that most people think they have for their partner. a kind of love that is exclusive and can only ever go to one person. unconditional love is the kind of love that accepts everyone for what they are. the kind of love that all the major religions out there are talking about.

(edit: expanded further)
https://youtu.be/Sasksdm1Ftc fantastic episode.
Many other foreign lobbies and interest groups buy influence in the White House (in all administrations) for substantially less
Yes, there are serious drug interactions that can occur with MDMA. The one I’m most familiar with is not to take MDMA if you also take any MAOI, which is listed in that article.

Being hospitalized would certainly lead to a bad trip, in my opinion.
I have seen this in the past, but I figured it was mostly abandonware given the lack of recent commits. I’ll install it and check it out though, thanks for the suggestion.
Bitcoin has been the best performing asset for the last decade. The gamble you're making is losing out on is attaining intergenerational wealth.
For example, Amex Platinum comes with $400 Dell credit each year, and several other similar perks.
Thanks for the reply. Yeh I’m sure something like this exists. I could probably just mask out the area around the space o lab the streets outside our house and then send a notification when it becomes available.

The complexity maybe comes in in identifying our cars parked there vs someone else’s, so maybe I need number plate recognition. However my camera would be top down so likely no number plate would be visible.

Any thoughts/recommendations are helpful
https://www.utilitydive.com/news/renewables-cheaper-energy-t...

https://energyinnovation.org/wp-content/uploads/2023/01/Coal...

> This report finds 99 percent of the existing U.S. coal fleet is more expensive to run compared to replacement by new solar or wind. Replacing coal plants with local wind and solar would also save enough to finance nearly 150 gigawatts of four-hour battery storage, over 60 percent of the coal fleet’s capacity, and generate $589 billion in new investment across the U.S. Our report provides policy recommendations to facilitate a just transition through the Coal Cost Crossover.

Lazard LCOE+ 2024 report, PDF - https://www.lazard.com/media/gjyffoqd/lazards-lcoeplus-june-...

New solar plants expected to support most U.S. electric generation growth - https://www.eia.gov/todayinenergy/detail.php?id=64364 - January 24, 2025

So, if you want to argue these decisions are about politics and ideology, that is a choice. The economics are clear. The report I cite above is ~2 years old, the favorable economics of renewables and batteries has only increased since then due to rapid cost declines of both.
Any sources? I’d be keen to see if I can help out, even if only financially.
better or just another, but at least when Alexa plays the wrong song it doesn't really have a chance to kill you or others like FSD failures
I do not, but I suspect that's mainly because I far and away prefer statically typed languages with powerful LSP implementations.

Copilot, Ollama, and the others have all been strictly inferior to rust-analyzer. The suggested code is often just straight up invalid and takes just long enough to be annoying. Compare that to just typing '.'/'::' + a few characters to fuzzy-select what I'm looking for + enter.

ETA: Both did save me a few seconds here and there when obvious "repetition with a few tweaks each line" was involved, but to me that is not worth a monthly subscription or however much wall power my GPU was consuming.
Everyone’s experience is different but I’ve been in dozens of MLE interviews (some of which I passed!) and have never once been asked to explain the internals of an optimizer. The interviews were all post 2020, though.

Unless someone had a very good reason I would consider it weird to use anything other than AdamW. The compute you could save on a slightly better optimizer pale in comparison to the time you will spend debugging an opaque training bug.
This only makes sense if you think scaling laws won't hold.

If someone gets something to work with 1k h100s that should have taken 100k h100s, that means the group with the 100k is about to have a much, much better model.
You can just use it and see for yourself. It's quite good.

I do believe they were honest in the paper, but the $5.5m training cost (for v3) is defined in a limited way: only the GPU cost at $2/hr for the one training run they did that resulted in the final V3 model. Headcount, overhead, experimentation, and R&D trial costs are not included. The paper had something like 150 people on it, so obviously total costs are quite a bit higher than the limited scope cost they disclosed, and also they didn't disclose R1 costs.

Still, though, the model is quite good, there are quite a few independent benchmarks showing it's pretty competent, and it definitely passes the smell test in actual use (unlike many of Microsoft's models which seem to be gamed on benchmarks).
They replicate the DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data. We show that long Chain-of-Thought (CoT) and self-reflection can emerge on a 7B model with only 8K MATH examples, and they achieve surprisingly strong results on complex mathematical reasoning. They fully open-source their training code and details to the community to inspire more works on reasoning.
Would love to test this out. It’s a problem I’ve thought about way too long so I’m glad someone is solving it. Please do send on a link when it’s ready for testing
isn't this what yt-dlp does?
Most people insist on only using one element, which is the element of last resort, according to MDN. This is our friend, the <div>.

The only use case I have for <div> is in a details/summary where there is no CSS to select the contents of a <details> element, excluding the <summary>.

Does this mean I use <section> instead of <div>, as a 'direct replacement'? Nope. When using CSS grid, there is no need for <div> wrappers around everything.

I do like to use the full HTML element set, and, with scoped CSS, to style the elements, rather than have loads of divs with loads of class attributes. It all looks so much neater, particularly if the unstyled CSS looks rather good.
> If it turns out that you, in fact, don't need a gazillion GPUs to build SOTA models it destroys a lot of perceived value.

Correct me if I'm wrong, but couldn't you take the optimization and tricks for training, inference, etc. from this model and apply to the Big Corps' huge AI data centers and get an even better model?

I'll preface this by saying, better and better models may not actually unlock the economic value they are hoping for. It might be a thing where the last 10% takes 90% of the effort so to speak
Still seems stupid to me...
In motion to dismiss, Character AI claims it is protected by the First Amendment
looks like they failed this interview, not you.
I mean, sure, none of these models are being optimized for being the top of the leader board. They aren't even being optimized for the same things, so any comparison is going to be somewhat questionable.

But the claim I'm refuting here is "It's extremely cheap, efficient and kicks the ass of the leader of the market", and I think the leaderboard being topped by a cheap google model is pretty conclusive that that statement is not true. Is competitive with? Sure. Kicks the ass of? No.
OK. What reference would you point them to? What makes you think it's what they want?
There is a wide disconnect between real world usage and leaderboards. If gemini was so good why are so few using them?

Having tested that model in many real world projects it has not once been the best. And going farther it gives atrocious nonsensical output.
The CEO of Scale is one of the very last people I would trust to provide this information.
Ethical considerations are briefly discussed at the end of the article -- too briefly, in my opinion.
What is emotional vulnerability?
Probably not in Trump winning, but I can't imagine Musk having so much sway over Trump otherwise.
This is my biggest complaint of Linux being where bare metal should. For whatever reason my car takes multiple seconds on startup between starting the music and registering my inputs to lower volume or pause. Older cars didn't have that problem.

That said, cars have 12v batteries. If the pi was better (again another gripe, choose better products not just what everyone else uses) you could put the thing to sleep. Even a good low power Linux machine can go years off one of those (quick math says like 100 years, so negligible draw). Or you could cut yourself off if the level gets below a threshold for too long. Plenty of solutions.
Funnily enough the dev responded to me about this here https://news.ycombinator.com/item?id=42786919
"There's no foresight. There's no planning." Couple that with "as an expression of agility," and it really rings true to me. I've worked in enough shops where the contractual obligations preclude any ability to slow down and put together a plan. A culture where you're forced to go from an angry phone call from the suits to something running in production in mere hours is a culture that finds building bookcases out of mashed potatoes acceptable.

The best environment I've ever worked in was, ironically enough, fully invested in Scrum, but it wasn't what's typical in the industry. Notably, we had no bug tracker[0], and for the most part, everyone was expected to work on one thing together[1]. We also spent an entire quarter out of the year doing nothing but planning, roleplaying, and actually working in the business problem domain. Once we got the plan together, the expectation was to proceed with it, with the steps executed in the order we agreed to, until we had to re-plan[2].

With the rituals built in for measuring and re-assessing whether our plan was the right one through, e.g., sprint retrospectives, we were generally able to work tomorrow's opportunity into the plan that we had. With the understanding that successfully delivering everything we'd promised at the end of the sprint was a coin toss, if we were succeeding a lot, it gave us the budget to blow a sprint or two on chasing FOMO and documenting what we learned.

0: How did we address bugs without a bug tracker? We had a support team that could pull our andon cord for us whenever they couldn't come up with a satisfactory workaround (based on how agonizing it was for everyone involved) to behavior that was causing someone a problem. Their workarounds got added to the product documentation, and we got a product backlog item, usually put at the top of the backlog so it'd be addressed in the next sprint, to make sure that the workaround was, e.g., tested enough such that it wouldn't break in subsequent revisions of the software. Bad enough bugs killed the sprint and sent us to re-plan. We tracked the product backlog with Excel.

1: Think pairing but scaled up. It's kinda cheesy at first, but with everyone working together like this, you really do get a lot done in a day, and mentoring comes for free.

2: As it went: Re-planning is re-work, and re-work is waste.
Also, $16.95/month is $203.40/year, which divided by $4,000 is 5.09%. If you can earn more than 5.09% then you are better off paying the fee and investing your $4,000 elsewhere.

It is also pretty much impossible to keep precisely $4,000 in your account because of the lumpiness of day-to-day inflows (paycheques) and outflows (bills). If you keep say $10,000 in your chequing account to (a) avoid the $16.95/fee, and (b) provide a buffer against unexpected expenses, then the breakeven return on your money is $203.40 / $10,000 = a paltry 2.03%.
It was posted below: https://github.com/OpenRA/ra2

It works, but it's not an official release yet. Fwiw I haven't played this myself.
Machine learning and 3D printing yield steel-strong, foam-light materials
...and China is two years behind in AI. Right ?
Did you read the full article?
Putting that spade in the ground will trip the mines, though. Didn't Elon threaten to primary anyone who doesn't salute?
The government grows like a cancer as it has no mechanism like bankruptcy to remove dead wood.

Agencies start out with a mission, then turn into a business, and finally become a con job. Most agencies are deep into the corrupt territory at this point.
You only see posts from people you follow or hashtags you follow, so my understanding is there are no default filters.
See also independent RL based reasoning results, fully open source: https://hkust-nlp.notion.site/simplerl-reason

Very small training set!

"we replicate the DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data. We show that long Chain-of-Thought (CoT) and self-reflection can emerge on a 7B model with only 8K MATH examples, and we achieve surprisingly strong results on complex mathematical reasoning. Importantly, we fully open-source our training code and details to the community to inspire more works on reasoning."
The streetcars in Portland OR are useful on some routes but they're pretty much painfully slow around downtown.
>retained value curve of GPUs is absolutely terrible

source?
It should be trivially easy to reproduce the results no? Just need to wait for one of the giant companies with many times the GPUs to reproduce the results.

I don't expect a #180 AUM hedgefund to have as many GPUs than meta, msft or Google.
Playing devils advocate here:
1) Buy $44B asset with investor money
2) Tank value of asset by 90%
3) Buy debt at 90% discount
4) ???
5) Profit
Emphasis on 'to a certain extent' :)

Educational outcomes need to be improved yesterday, no disagreement on that.

There's some displacement, yes. However anyone who isn't in privately rented accommodation would be choosing to leave, perhaps even with some decent money from selling their house.

Many people stay, if you'd like proof, take a walk down to hackney.
"Instrument skills will surely be preserved..."

Citation needed.
I trust China a lot more than Meta and my own early tests do indeed show that Deepseek is far less censored than Llama.
I think parents love you conditionally true. In the end if you turn into a really bad person, they might not love you anymore.

That's not bad though. If I stop talking to my partner, I suspect at some point they wouldn't want to stay with me anymore. If I attacked my parents repeatedly, same goes for them
Thank you so much for this, I have trouble communicating time from maps even though its often so interconnected and this concept opens it up.
You can't replicate it exactly because you don't know their dataset or what exactly several of their proprietary optimizations were
Its pretty nutty indeed. The model still might be good, but the botting is wild. On that note, one of my favorite benchmarks to watch is simple bench and R! doesn't perform as well on that benchmark as all the other public benchmarks, so it might be telling of something.
No way in hell i'm giving access to my spreadsheet data to some rando google extension
So, 500m a year to whisper sweet nothings into the minds of a significant % of the world population. Or brainwashing them, whatever you like. I think it's not a bad price, someone surely feels theyre getting their moneys worth.
I don't know you, but respectfully, people didn't start dying in my life until I was in my mid-30s.

The most heartbreaking experience I've had was my 88 year old neighbor ringing the door, and informing me that his wife of 60 years had just died. He managed to say three words. Before the fourth, he broke down in tears.

My wife has died.

Such a simple sentence, but a sentence that had 60 years of unconditional love behind it. And an entire family. Their life. His wife was lovely. I miss her, and cannot even pretend to imagine what this was, and still is, like, for him.

Behind him, at my door, was my other neighbor. He was the first to have been told. He just stood there, silently, while I gave the husband a long hug. He never said a word, his mere presence saying everything that needed to be said.

You are not alone.
The reason why I'm personally convinced that generative AI for creative output will be bigger than any of the "PhD level agents" everyone is chasing is that gen AI can finally change "90% consume and 10% create", by changing what it means to consume.

People assume my storytelling tool is for writers because until relatively recently there was no other option: you couldn't make a writing tool for readers who only want to read, or a photography tool for viewers who only want to view, or a music tool for people who only want to listen.

But we're getting closer to tooling that makes it so frictionless to create, that you can insert the creation process in the consumption process, essentially turning it into curation.

-

Next week Gemini Flash comes out and we're going to have access to the first publicly available image model that can edit images with as much nuance and understanding as current SOTA LLMs do for text.

Everyone is focused on a possible plateau in intelligence, but steerability is the key for creative output, and there are so many angles to attack it from that we're at the infancy of what generative AI can do for creative output.
Such a good comment.

Remember when Sam Altman was talking about raising 5 trillion dollars for hardware?

insanity, total insanity.
I am guessing conspiracy theory videos?
Epic unveils plan to pay Apple penalties to tempt developers onto mobile store
Dupe: https://news.ycombinator.com/item?id=42823385
Women do not build these networks by needing frequent emotional support. It is build on mundane stuff, when you do not need support, when no one need support.

The emotional support thing is a consequence of building relationships when you do not need help, when you are fine. If you build them only when you need emotional support, you will be perceived as needy and people will get tired of it.
> Twitter has lost 85% to 90% of its revenues.

Do you mean from when Musk purchased it?

https://www.businessofapps.com/data/twitter-statistics/

Looking at the revenue growth, does anyone know why it increased in value to the degree it did leading up to its sale? I recall there was some discussion around the amount of bots (not the existence, the degree).

Pre-sale:

https://www.pewresearch.org/internet/2018/04/09/bots-in-the-...

https://www.pewresearch.org/short-reads/2018/04/19/qa-how-pe...

During the process:

https://www.cpomagazine.com/cyber-security/we-checked-elon-m...

I wonder to what degree bots are still influence the platform. For that matter, it would be nice to know how bad the problem is on Reddit.
I thought this was all normal? The only issue I have seen is that the banks couldn't do this sooner?

https://www.wsj.com/tech/elon-musks-twitter-takeover-is-now-...
Pink money is a marketing term, it's attracting sales from gay men. Rainbow capitalism is pro-LGBTQ virtue signaling in order to make your company more palatable to investors and/or the public
> My long term partner loves me conditionally

Sounds right, relationships require effort to stay healthy. It's not always an easy dance, as veterans of marriage will attest.

No healthy relationship should be a cage containing 2 or more martyrs. If people are accumulating resentment, it's time to seek help or dialogue or renegotiation.

That said, it's a mark of mature introspection and humility to be able to ask for help and support. It's also a mark of maturity and kindness to give help and support.
... tried to use the curl commands as-is from the documentation and immediately get slapped by bot protection. :')
Sure, you could pop it into a TD High Interest Savings Account and earn your high interest rate of 0.050%.

Wait, its 0.000% on $4,000

High interest, indeed!
You're a slave
Well. Query builders are composable. You can create a builder with partial query, and reuse in many queries. With sql strings, you either have to copy paste the string, or to define sql functions. It's a trade off!
Zuckerberg came out and explicitly said the far left Biden administration censored Facebook directly. That is the real concern, not random silly SEO'd results that will be fixed quickly.
I don’t think this entirely invalidates massive GPU spend just yet:

“ Therefore, we can draw two conclusions: First, distilling more powerful models into smaller ones yields excellent results, whereas smaller models relying on the large-scale RL mentioned in this paper require enormous computational power and may not even achieve the performance of distillation. Second, while distillation strategies are both economical and effective, advancing beyond the boundaries of intelligence may still require more powerful base models and larger-scale reinforcement learning.”
You might want to look at once.com by 37signals. Although they do a lot of Saas products they must believe there is a market for buy once. They are also leading the way by ditching the cloud (https://www.datacenterdynamics.com/en/news/37signals-expects...)
Musk makes surprise video appearance at AfD event
tl;dr brilliant baby boomer who was at the right place, at the right time with the right brain was given great opportunities in life. He then highlights his unwavering moral compass when taking positions that would impact him and his family in a limited way financially.

Good for you bud.

Now let me return to real life as a millennial of average intelligence in 2025 tech faang.