Some people just want their car fixed when it stops working. They don’t want to read an entire manual and spend many hours of their very limited lifespan fixing the problem.
This is not brain rot, it is a good thing. I am glad Einstein focused on physics and not every single interesting thing that popped up.
Also there’s only one trillionaire and that varies by the stock that day. And it’s not because he abused open source, he’s just the greatest huckster of all time.
Qwen 3.5 9B scores 2-3x higher than 4o (depending on the 4o version), on the benchmarks.
Whether it's actually better for the kind of things people actually use it for... the benchmarks don't really tell you that. (In my experience, no.)
I often have funny experiences where models do great on benchmarks and are awful, or do poorly and are great for my use cases.
And different people use them in different ways, which probably explains why some people think one models is great and others think it sucks.
In my experience even small local models are now surprisingly good at programming and using a computer (bash), i.e. completing agentic tasks, but fall apart quickly in conversation (especially knowledge and understanding).
> which they are likely to pour into a new frontier AI lab in Europe
HF was.. a hub to download models and some of the worst source code in the space that contributed to huge amounts bugs that did a lot of downstream damage. Go ahead and read their blog by their CTO on how they don’t believe in DRY and then implemented DRY in the worst way imaginable with unnecessary code generation.
Their BLOOM model was a joke and dead on arrival.
But yea these guys are definitely going to be the frontier of EU AI.
They’ve provided insane value to the ai community. Imo is there really any obvious way to standardize model/preprocessing/inference/training/rl recipes across the space of frankenstein model family/architecture/modality combinations? It’s not even clear to me that the current frontier would be where it is today without HF doing what they did how they did it. Where else were people widely sharing datasets w that ease of reuse/redistribution, or sharing their retuned models etc? Would there even be as much interest/tinkerers today?
I think both can be true at the same time. They provided insane value, and while I'm not sure if they were first, they were most people's introduction during the initial LLM boom. Their code was also sloppy, and the org was mismanaged. Sometimes, success really is just 'right place, right time'
Their strength was the ability to keep at the very fast moving AI frontier.
When a new model is released they have been able to have a working implementation days later, not months when the model was redundant.
And often it's much more usable than the one-off, unmaintained, research code written in a very fragile environment.
BLOOM was a decent fully open and very large model for its time, and a huge coordination effort. It was around the same time as another "joke", OPT, but that gave Meta the knowledge that let them build Llama.
Huggingface didn't have the money to compete in that race, but I'd bet it helped them stay at the frontier of AI software.
Google could have owned this space; they had TensorFlow hub, but it was too hard to use and too locked down. Huggingface made it easy to run and train transformers, and got the timing just right.
I'm glad someone is trying to build truly open models (along with the great work at Allen AI), because the likes of Meta and Alibaba are only going to release weights as long as it suits their business.
From my perspective, Stable Diffusion brought HF to the broader public as artists and content creators were showing how to run the python to do local Stable Diffusion which first introduced many to HF.
It has to be a bell curve doesn't it.. I am too much of a perfectionist...
Then again, my llms constantly claim that I am doing things that are beyond the SOTA. Even my own mom lost hope.. Still haven't shipped a single thing... haha.
(half joke aside, it is finally coming in a couple days.. which I have been saying for quite some time to the extent that my peeps don't even trust me anymore.. 3 things are coming and it is genuinely research grade apparently, for the amount of research I am aware that is released publicly.
I really don't know how people ship things, the tooling I see is terrible, or maybe I have NIH syndrome...)
Doing just payments is a really low margin industry, and the larger the contract you are after, the lower the margins. Therefore, it makes a lot of sense to try to sign up startups, as their growth is your growth. And to win in the startup market, you don't win by lowest costs, but by how much generic work you can save them. Cut their headaches, and they'll be happy giving you a wider cut.
Thus, a million little acquisitions to make the possible Stripe bundle for small companies stronger, as they become the moat. The opposite of, say, the Adyen play, when you want to lower your own costs, and make money on tiny margins to do processing for really large companies.
My analysis is that Stripe wants to own the costs of running a startup. They would get a complete picture of both sides of the business: what money comes in and where it goes.
There are also a couple of advantages. They can take money directly from revenue before it leaves Stripes and without any processing costs. They can also invest into startups through credits and financing. And finally, their exposure to bankruptcy risk can drop as well.
AI is making it a low-moat industry too. It's a lot quicker to build some API docs, a behavior tracking JavaScript library, and some fraud detection, with LLMs.
Fraud detection is really, really, really, really hard so I would probably stick with someone like Stripe for this, as they have so much data that they can do a really good job.
And fundamentally, the moat for Stripe isn't just the front-end APIs, it's all the work that they do (and there's a lot) in connecting together financial infrastructure. Even if you could wave a magic wand and generate all the code Stripe has (which you can't, currently) then you'd still need to build out all the partnerships, which is a lot of work.
Disclaimer: former Stripe (though only a tourist), still hold some of their shares.
I think about their IPO and what seems and likely still is a promising offering seems a little less so with AI offerings. I also wonder if these businesses, suffering from the same AI uncertainties are a good value?
Lee is a product of his environment. Tech interviews are bullshit and he exposed it. School work is mostly bullshit and he exposed it.
How can you honestly tell this young man not to cheat and get ahead when the president does it regularly? We’re a spiritually dead country and the youth is reflecting it. Don’t use Lee as the scapegoat.
If you see a pile of trash by the side of the road and tell yourself it is ok to dump your trash there, well, you just explained why there is a pile of trash there in the first place.
You have agency over your own actions. Don't blame others for your self inflicted "spiritual death."
Millions decided to reward a liar and cheater with the highest office in the country. Twice! At one point, socially attuned people are going to go that way. And even if you try to educate your children well, they see in their formative years what society rewards.
Yes, but they should be criticized all the while... obviously.
In fact, beyond criticizing them, they should be denigrated and made fun of incessantly. Ostracized and reaffirmed as low-status individuals, no matter how much wealth they can acquire through low-status bullshit, they'll never be worthy of respect.
No, actually. It's a cute story but there's no evidence of it.
We got here by putting two of the most hated people in the country on the ballot against him, twice.
One was actively hated for decades by the ultra-powerful evangelical voting bloc and hardly loved even by her own party, then another who couldn't be more closely affiliated with the incumbent during a period of high inflation (globally) that ousted incumbents in virtually every election (globally) that year.
These are especially doomed against a completely amoral propaganda machine that's willing to say, in private, that the candidate is "a demonic force", while in public doing everything they can to get him to power (see: Tucker Carlson). Earning legitimate democratic victory against people who are quite literally and explicitly bad-faith actors is very hard.
And lastly, Roy Lee, Marc Andreessen and their ilk are nothing like the people who you're referring to. Being a low-status, cheating, amoral loser like Roy Lee is completely distinct from being a lower- or middle-income American worker.
> We got here by putting two of the most hated people in the country on the ballot against him, twice.
I hate this victim-blaming. Democrats deserve heaps of criticism for how they handled the last few elections, but Clinton was the most qualified presidential candidate we've had since maybe McCain in 2008? (I didn't vote for McCain, but it would be hard to argue he wasn't qualified).
You said yourself where the blame should lie:
> These are especially doomed against a completely amoral propaganda machine... Earning legitimate democratic victory against people who are quite literally and explicitly bad-faith actors is very hard.
There's more to winning elections than being qualified, unfortunately.
Blame can be shared among many actors, and generally should be.
There's also special value in finding blame in yourself and your own actions where possible, not as a self-flagellation exercise, but because it will reveal if you had levers available you failed to pull for some reason.
This narrative sounds almost like an alternate universe where Bernie Sanders didn't run for president and wasn't pushed to the sidelines by the party he ran under.
But why tho? And what does that say about voters who apparently "loved" Trump, a guy who mocked a disabled reporter at a campaign rally, more than her?
Sexism, anti-establishmentism, anti-plutocratism, racism, anti-elitism, etc. Not sure it matters too much in the sense that it's much easier to change the candidate than the electorate.
Yeah, Trump's election says very awful things about all of us, and especially his voters.
The narrative of "oh if normal people weren't so mean calling out the awful things these voters say and do, they would have behaved otherwise" is simply not true. For them it's a matter of "winning" and "losing" and damn the consequences. Treating them nice doesn't change anything.
I didn't say to make fun of people who are disadvantaged. I said to make fun of liars and cheaters and ensure that everyone is reaffirmed that lying and cheating is low status.
Has it ever occurred to these low status people that their low status is due to their bad choices in life? No, it's all the fault of others: the black people, the brown people, the weird people...
I don't understand why you think one single president is responsible for a class of behavior that is likely as old as human civilization. Should we blame Elizabeth Holmes on him too? What about Enron?
Did Enron had access to nuclear codes? Did Holmes have complete immunity due to her function given by the Supreme Court? Did they try to overthrow the presidential election results ? Were they elected by millions after trying to putsch the government?
It is incredible that you think that Trump being president is normal. I didn't say he was responsible for this behavior; I am saying that him and his supporters are responsible for normalizing immoral, unethical, unacceptable behavior.
The operative part of schoolwork is … not the work part? Of course school work is bullshit, in the sense that the teacher already knows what 7x9 is or who fought at Waterloo or whatever. The point is not the work product, it’s that the student produced it and has been incrementally improved by the experience!
I disagree that tech interviews are bullshit. The biggest tech companies (MS, Google) have invested many dollars, and changed course at least once (remember MS's lateral thinking questions? How many screws in an airplane?) in looking for the most effective ways to quickly gauge whether someone is likely to be a productive SWE. They have done this because they correctly believe that there is a wide range of candidate abilities out there and it is critical to hire as few "lemons" as possible; in particular, not hiring lemons is much more important than neglecting to hire someone who would have been really good. Thinking about it from their POV makes this immediately clear.
I think what you're really saying here is that you don't like tech interviews, which is understandable, but ultimately doesn't amount to either a moral or a technical argument against them.
So you're suggesting that an enterprise that would ever have even considered routinely using any stupid bullshit question along those lines is somehow engaged in a finely-honed and effective process for creating an optimal screening system?
It doesn't matter how often you "change course" if you obviously have no idea how to steer in the first place.
Yes. Lateral thinking is valuable, and the industry didn't at the time know any better ways to test it. Now we have system design questions, so we can get the same signal asking candidates for ad hoc estimates of QPS or whatever.
Guy writes like he’s the main character when he’s probably dev #48373 at CrudCorp. I bet the internal company tool he works on is pretty slick though.
Most smart people I know don’t like toy leetcode problems, they like real problems which are orders of magnitude harder and not solvable by LLMs. Leetcode is for people who got good grades and want to feel smart by learning the rote tricks to solve leetcode.
I didn’t do any leetcode, but I did some Project Euler, which was the cooler predecessor. It was a fun, but I don’t know why these gamified programming things have become so predominant in hiring. Why not hire based on Factorio progress or some Zachtronics game score?
Having a large vocabulary is a rote trick, writing letters in an alphabet is a rote trick, touch typing on a keyboard is a rote trick, and the DS&A stuff needed for leetcode is a rote trick as well. People should not dismiss knowing fundamentals by rote because they personally haven't needed to use them.
I’m pretty tall. I find that mostly beneficial except for walking into things. I also don’t fit well in Miata and some convertibles and other small cars, which is a bit of a problem on occasion.
I was going to add more, but I kind of forgot. My post was a bit stream of consciousness about overthinking things, which I may have over over thought. Oh well. I’m kidding sort of. I was going to say that I see a lot of overthinking all over the place at work. Complex environments often lead people to assume that a complex solution is needed. Some of the time the complexity is unavoidable. Most of the time the complexity is avoidable. Our individual lives and affairs are no different.
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