skysight-inc/HackerNews huggingface dataset:
Thanks for being understanding and compassionate about the situation! I like your idea of a time limited freelance gig, though immigration obstacles do sometimes make that quite complicated (as in my current situation). It's way better than not considering that people might have a reason for a resume with gaps or other irregularities which is not being a bad employee.

Beyond immigration types of obstacles, somehow recruiters and hiring managers rarely consider how many bad managers, bad executives, and bad companies there are when evaluating gaps and short tenures in an employee's resume. But equally, discussing those matters during an interview risks being seen as unprofessional and unreasonably negative. "Why did you leave this company?" "Oh, the warnings I got about the leadership from a former employee before I joined turned out to be true, and they didn't want to hear professionally presented necessary feedback about emotional safety in an emergency incident response situation, so they fired me without a single meaningful 1:1 discussion other than trying to assign blame." / "Oh, the CEO was enough of a problem that the investors eventually replaced him in a subsequent funding round despite him being the majority shareholder, but that was long after I had resigned or been fired due to that CEO's particular problems." / "Oh, they communicated in a very idiosyncratic way which didn't work for me and which I haven't seen at any company before or since." / etc. Most of that doesn't fly in an interview, but equally, even if it did, saying too much of that sounds like making up excuses for oneself even when it's 100% true. Same thing for why a job search doesn't succeed quickly.

Ours is a messy and imperfect industry, and it sucks that interview candidates have to pretend otherwise to seem like they'll be reasonable employees. Meanwhile the companies and executives that act in those ways get to present whatever positive and successful image they want, and they get to praise each other for firing fast or cutting costs with attrition or layoffs.
Other people makes a big difference.

Even back when NYC was a lot more iffy than it is today in general, I never really felt uncomfortable walking down somewhere like Fifth Avenue late at night because there were enough people at night. Various midwest cities can be pretty eerie--especially after business hours. The downtowns are often not that busy during the day and they're deserted--except maybe some local pockets--after dark.
I see. I think at the end of the day, Biden's political cause was democracy, which is now ablaze in the dumpster.

The way I see it, Biden's whole message was "This thing is okay, we shouldn't burn it down". Then we held and election and the result was people voted to burn it all down. On the way out the door and at the end of his life, as people arrived with gasoline and matches, Biden chose his family over his political cause. Because why should he chose democracy if we won't?
I’m by no means an expert but I think raising prices in Japan bears significant cultural meanings, There were times when CEOs publicly apologized for raising prices.
The asian economic uplift was powered by exports, not by reducing imports. Tariffs were the exact opposite of what they wanted as they were reliant on exporting their cheap labor and a trade war makes that much harder.

Latin american countries made the mistake of trying to build an economy by reducing imports through tariffs, as we can see it did not work.
Fearsome File Formats by Ange Albertini (YouTube) [video]
This is gold! Thank you!
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Oh nooo, that will stop everyone from using AI systems.

Do European politicians understand that those laws are usually dead? There is no way a law like that can be enforced except by large companies.

Also, this kind of laws would make Europeans to stay at the loser side of the AI competition as China and mostly every US corporation doesn't care about that.
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文↔A

Unicodified version, some fonts don't render it nice though

Screenshot in case HN strips the Unicode:
https://i.imgur.com/yeLxyOe.jpeg
Hey, you say in the README.md:

MIT License. See LICENSE for more information.

But the LICENSE is Apache-2.0 license.

Which is it?
Because mobile design is all about fitting in text wherever you can, right? :)
I'd be very interested to know the name of any of those companies letting a LLM set the price for their products. For research purposes only, of course.
ModPhone | Multiple Roles | Fully Remote | Contract

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This is very bearish for current AI. Seems like 99% reliability is still too small with compounding errors. But I wonder of this is inherently specific to longer context or if this just depends on how it’s trained. In theory longer context => more errors

Although I think people are the same, too big problem and you are getting lost unless taking it in bites, so seems like OpenAI implementation is just bad because o3 hallucination benchmark shouldn’t lead to such poor performance
> could lead to some in the US saying that Canada's retaliations are a "casus belli" for war

War ? Canada already has the capital city in Washington D.C. /s
Tesla’s brand is taking a hit from the top. People are actively trying to unload their vehicles. Novelty wears off and nobody wants to be saddled with a negative status symbol when they can test drive something less conspicuously authoritarian with better build quality at a reasonable price point. First move has come and gone.
“problematic” being a rather charitable term here, I think
This is the best solution - if you don't need persistent storage. I prefer N100 minipcs for this reason - the Minix Z100 I have uses 6.4W at the wall (linux, idle, wifi and bt disabled) and while this is probably more than rpi, I got a silent computer with a case and NVME out of the box. Being in x86-land is just an added bonus.

My rpi4 cost me way too many sd cards.
I live in the EU too. For me, the status page[0] shows a continuous API outage for the past 8 days, that is still ongoing. Since it started, my API requests bounce back with an error, which changes seemingly at random between "unauthorized" and "insufficient balance". Neither of those reasons are valid, since I'm using a valid API key I made after creating an account, which I topped up with $20 (and have an invoice from them to prove it). I must have had a mightily bad luck that the service went down soon after I generated the API key - I'm guessing my user/key is currently stuck in the middle of some migration, or possibly wasn't captured in a backup and got subsequently wiped. For now, I'll just patiently wait for them to fix their service.

--

[0] - https://status.deepseek.com/
I think you misunderstood my proposal

LLMs are good a producing embeddings which are latent representations of the content in the text. That content for research papers includes things like authorship, research directions, and citations to other papers.

When you fine-tune a model that generates such embeddings with a labeled dataset representing fraud (consisting of say 1000s of samples), the resulting model will produce different embeddings which can be clustered.

The clusterings will be different between the model with the fraudulent information and without the fraudulent information.

Now using this embedding generation model, you (may) have a way to discern what truly significant research looks like, versus research that has been tainted from excess regurgitation of untrustworthy data.
Musk literally did a Nazi salute behind the presidential seal. And Trump announced concentration camps at Guantanamo Bay, so you're wrong there as well. I'm not getting my news from leftists, I'm getting it from the two co-presidents. You just have to watch what they do and say in public to come to these conclusions.
Haha thanks! I was thinking HN would remove it like it does with emoji, good to know the arrows codepage works!
I really like their approach. other methods that might use something like LD_PRELOAD fail on statically linked ELF's, like golang binaries.
That has been my understanding too. More generally, a verifier at the end certainly helps.

In our paper [1], we find that asking a follow up question like "Is the answer correct?" and taking the normalized probability of "Yes" or "No" token (or more generally any such token trained for) seems to be best bet so far to get well-calibrated probabilities out of the model.

In general, the log-probability of tokens is not a good indicator of anything other than satisfying the pre-training loss function of predicting the "next token." (it likely is very well-calibrated on that task though) Semantics of language are a much less tamable object, especially when we don't quite have a good way to estimate a normalizing constant because every answer can be paraphrased in many ways and still be correct. The volume of correct answers in the generation space of language model is just too small.

There is work that shows one way to approximate the normalizing constant via SMC [2], but I believe we are more likely to benefit from having a verifier at train-time than any other approach.

And there are stop-gap solutions to make log probabilities more reliable by only computing them on "relevant" tokens, e.g. only final numerical answer tokens for a math problem [3]. But this approach kind of side-steps the problem of actually trying to find relevant tokens. Perhaps something more in the spirit of System 2 attention which selects meaningful tokens for the generated output would be more promising [4].

[1]: https://arxiv.org/abs/2406.08391
[2]: https://arxiv.org/abs/2404.17546
[3]: https://arxiv.org/abs/2402.10200
[4]: https://arxiv.org/abs/2311.11829
Thanks, my bad. Fixed.
Definitely curious, this looks very similar to Coconut, even down to the CoT encoding process in Figure 2. They go into a lot more detail though, seems like parallel innovation.
It seems they changed the wording of the article if you compare whats currently published with the archived page.
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> pushed them out of their top-spot,

err, "Promoted them out of their top-spot to one even higher."

If it were not for this detail I would agree with you. But if the boss is intending to constructively dismiss you, they don't give you a promotion as part of it.
TSMC founder Morris Chang Interview [video]
> But it's so ingrained into our heads that shell is "too hard" that people...

...That people apparently don't even try to learn bash. It isn't really all that hard.
> War with Canada would end up with nukes, French ones, blowing up in US.

I know a good joke when i see one. Maybe with another Charles, but Emanuel seems happy to dance as the White house sings.
Lee Marshall Nadler, MD: a conversation (2007)
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I appreciate your argument, but add the following nuance:

Latent space reasoning can represent and manipulate UNCERTAINTY more concisely and elegantly than token space reasoning.
> You must be be a resident of, and eligible to work in, the United States.

Put "Remote (US)" on the header
> Can you imagine other use cases than projection?

yes

vtubers

human interface device for quadriplegics

automated camera tracking/zoom for video calls

emotion recognition support software for people with difficulty reading or understanding emotions (ASD)

truly smart, smart home that can track and respond to gaze, e.g. "can you turn off that light" and it will turn off the light they're looking at

sleep detection for smart locks

liveness detection for identify verification systems

vr tracking for interactions that both escape the uncanny valley, and feel more real time

need more?
Reading the topic it sounded like a Fermi interview-question. Guess it would make a good one, if you believe in them.
Hi Roddy,
Not sure what a good way to reach out is, but I saw the JD and would like to chnnect over it. I found your linkedIn and send you a request. Alternatively you can look up my details in my HN profile.
Looking forward to chat!
If it was a generic role at a generic company I'd agree, but in the original post the transfer happened without OPs having any saying in it. He also feels like his career is subject to the whims of the company (he used happenstance to describe it).

It's not unreasonable to imagine transfer not being a possibility for him in the near future, so your comment feels a bit out of place.
If you use it in that way then fine. I suspect both you and I knew that’s not what the GP meant though.
It's supplemental, but it's enough to make living where we live. When I first started, I worried about creating competition by sharing too much. But after 6 years of refining production, I've realized this product isn't easy to replicate at all
Show HN: AI text editor with suggested edits in diff view
> It won't start with nukes, but as a member of NATO, France would have to have to respond in some way militarily.

Why ? NATO is for defending against non-NATO enemies.
Please try not to write like this.

Factually, it does seem like the parent is probably wrong. I'm not a statistics genius and don't know where to find the best data, but it looks like your chances of being killed by a vehicle as a pedestrian in suburbs is somewhere just south of 2.3 per 100k annually (in 2022).

Your chances of being subject to violence in NYC are harder to say. When most people are making a comparison like this, they usually mean as a visitor, on the streets and in the businesses, probably including day and night. But e.g. probably not including territorial crime or other flavors of locals picking fights with their neighbors. And also not including crimes that occur in residences. But maybe including terrorizing, e.g. being robbed under implied threat of violence? It also varies a lot by borough and neighborhood, so it depends on whether you want to represent a scenario where you might be anywhere in NYC, or just the places a normal person might reasonably be.

All that said, the violent crime numbers are high enough that it seems like they couldn't possibly get qualified all the way down to less than 2.3 per 100k annually. But that intuition could be wrong.
Should it be possible to request all the data via GDPR and friends?
India is one of them.
It was such a beautiful world that could've contained so many more stories, I was just devastated to see it end so soon.
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Problem is you are talking about grandpa in the areas OP is talking about, while OP is talking about the third gen addicts that never got any early days, just a life of always living with (others) addiction, and now their own.
> Elon Musk's charisma

What little charisma Elon Musk had in 2019 had no influence on my decision to buy a used Model 3 at the time. If anything, Musk's "charisma" pushed me away from Tesla entirely, but the car's performance and charging network wasn't just better than the competition, it was fantastic, period. Elon or not, the deal I eventually got on a used one was worth it.

Today, 250k miles later? Because of Elon Musk's "charisma", I'm both highly motivated to sell it, but also can't. That's because you're not entirely wrong. Turns out, when a celebrity billionaire starts let his evil show openly, the products he shills start to lose their appeal.
My understanding is that most people who dislike capitalism dislike multiple features of it, features that are not downstream of one single variable to be optimized.

So if you break up the wealth concentration effect, you are reducing dissatisfaction overall, but you are also reducing the likelihood of any future alteration to any number of more minor dissatisfactions that seem characteristic of this system — e.g., the way it makes people's lives repetitive, predictable, robotic; the way it often preferentially rewards behaviors that service medium-term goals rather than ultra-short or ultra-long term goals; the way it reduces the dimensionality of the activities that are needed, from the average individual, and the way this reduction of dimensions along which one might be needed can make a person feel less like a person, etc.

I do not myself agree with anti-capitalists that all these patterns are best explained in terms of capital. You see similar tendencies correlated with, for example, most any attempt to scale culture. My point is just that the people who are trying to formulate the grandiose complaint are, deep down, generally not trying to designate as evil some single feature (even if they have latched onto that feature as being strategically their best line of attack); generally, I think, they are not saying, "Man, I see this nose everywhere and am sick of this nose," they are saying, "Why is it that people seem to be looking increasingly similar?" which sentiment (however flawed statistically) we expert statisticians might charitably translate as, "Why is it that there seems increasingly to be a single stable equilibrium for an increasing number of the increasingly divided planes of our diminishing existence?"

And maybe that last formulation is also empirically incorrect — but isn't there a general thrust in it that you recognize? "One default, one optimal path and anything I do to get out of it is either wasteful or imitated until it is the rule." Can you come up with a tax policy that will break up the concentration effect at that level? Maybe you can. Would it really break up the monoculture, or would it strengthen it? I don't know. I suppose reformers and revolutionaries have always diverged at this juncture.