skysight-inc/HackerNews huggingface dataset:
> but for many applications, especially in networking, it was also the fastest single-threaded operating system

If it is single threaded, how does this relates to PS4 and PS5 ?
The exact same screw up by google happened a few months back when they decided to shut down Google Podcasts, bassically they sent an email globally about how you can transfer your podcasts to YT music.....but only made the transfer tool available in the USA! Is still the case
Why is why the correct solution here is wired fiber internet being a taxpayer funded utility.

But as I mentioned in another comment, this might manifest in higher taxes for the top percentiles, whereas a policy of requiring the business to help the poor allows the burden of the subsidy to be paid by the middle income deciles via higher prices for the business’s services.
Never miss an opportunity to what about with the US.
By my counting, that document is ~ 373 km^2, which is much smaller than germany. It turns out the ruler was needed after all
I had an interview recently where the interviewer asked me, and I quote, "Please solve this using whatever language/editor/tools you're comfortable with and what you'd use in your day-to-day work"

So I pull out trusty old Ruby + RubyMine, and the question (I don't remember what it was specifically, but it was some sort of array manipulation type of thing) was trivially solvable with some Ruby STD lib method. Apparently he wasn't satisfied with the answer despite his prior instructions, and me not knowing what the actual method code is was reason enough to disqualify me from the job, which I found baffling.

I got into a bit of a heated discussion that, if I were solving a problem at work, there's a 99% chance I'd just reach for this method that Ruby itself comes with, because why the fuck would I try be a smartass and reinvent stuff here? And if for whatever insane reason I did indeed need a bespoke solution, I'd just poke around the source code and extrapolate from there, which he still didn't consider a good answer.

These interviewers drive me insane sometimes...
Technically I think the "brain energy" hypothesis is probably correct from a mechanistic perspective... in fact virtually all diseases can be seen from a lens of metabolic energy not flowing into the correct systems that would be able to restore normal function- even communicable diseases are technically treatable by getting enough energy into the right immune response.

That said, it's more of a theoretical framework that could lead to developing treatments in the long term future... we don't have treatments now that can carefully manipulate and restore metabolic function to the right areas for treating most illnesses. If it were as simple as you (and others) are implying, one could basically treat all mental illness successfully with thyroid hormones. That probably does work for some people, but if it were broadly effective, it would be more obvious.

The idea that things are genetic, metabolic in nature, and/or treatable with nutrients and diet are not in any way mutually exclusive. All conditions involve an interaction between genetics and environment. Presumably, many genetic diseases could be mitigated or prevented in theory with a properly engineered/controlled environment, if we had enough understanding of how to do so.
Operation leaves patient unable to feel fear
Heres my anecdote: Its broken beyond all measure, the same tweets keep loading on every refresh, you click back it loses your path and resets to another random selection of tweets you have seen mixed with randos. Video has gotten MUCH WORSE to the point where I can't even finagle the damn player to work, it just randomly crashes(before I was able to get it to play with a refresh or two and clicking on the seek bar quickly), sometimes i'm clicking around and it just flat out fails with that "cannot be displayed" error leaving me in the lurch. Ignoring the fact that a lot of good people have left, it just sucks to use even if you want to see the updates of people who are remaining.
Tu quoque is a fairly weak fallacy. You can criticize anything worthy of criticism whether it’s hypocritical or not.

The key tho is moving to clean renewable energy as the primary source of energy production growth makes the increased demand a shrug worthy event. The issue isn’t consumption of energy is morally wrong for some reason, it’s that production of energy is destructive. Making marginal increases in energy production not destructive is the goal.

Efficiency is its own goal, and is definitely necessary if marginal increases in energy production are destructive.

Finally I think attributing it to per capita or GDP is the wrong way to attribute energy consumption and side effects to causes. Much energy use of China is in service of production consumed elsewhere. Final point of end good consumption is where the energy production and its adverse externalities should be attributed (which makes the US look even worse frankly).
Who watches the watchers?

If I understand the product correctly, you're suggesting customers opt into letting an LLM pentest their testing systems, and allowing that LLM to generate and carry out plans of attack.

Imagine a recurring revenue business that keeps tokens for user credit cards on file, and then a dev naively gives the CI infrastructure an ability to call out/proxy some calls to production in a privileged way, and then Escape finds a way to break out of CI and charge cards on the production system. Of course, this is a massive security issue in and of itself, but at a certain point, a human pentester would know "holy ** I should stop what I'm doing right now." How do we know that Escape won't keep fuzzing and fuzzing and exacerbate the situation, causing real-world impact to customers?

There's probably a philosophical take on this - that security by obscurity is no security at all, and that threat actors will be every bit as good at this as Escape's technology is. But for any business that's not really a dedicated target for actors (say, only gets drive-by script kiddies that are easily fended off by keeping software up to date) using Escape might be increasing their risk of a breach that is meaningful to their customers, by inviting the scrutiny of a well-funded LLM, with a laser focus only on your specific business, that doesn't know when to stop.
Exactly; people would like their databases to be correct and consistent, but generally don't care enough to actually do something like hiring someone like Kyle to verify it before buying a database. They just find something with the right features and performance, and go ahead and use it. You see a lot of them in this thread; people who used RavenDB for a while, and then had to migrate away because of issues. If the business actually cared enough about consistency, there would have been some kind of validation and verification before selecting a database.
It's always amazes me how common lisp is so much more dynamic than, say, python, and is still compiled down to native code, and has running speed in the same ballpark as java/go/c#.

Unfortunately it's not a simple language, and has much historical baggage (the standard has mandated Roman literals in formating, really guys?..)
Five Useful Queries to Get BigQuery Costs
I'm just baffled at how they messed this up. They provide infrastructure for therapists and psychiatrists to source patients. Mental health needs have only accelerated since the pandemic.

Laughable is the claim that therapy doesn't "scale." Of course it doesn't! The thing that makes it not scale is exactly the thing that people are there for.
Advanced Micro Devices, Inc. (AMD) Q4 2023 Earnings Call Transcript
Love the idea, however, it's not clear whether I will get access to a large collection of components for building such workflows or what is currently possible? Would nice to get this info before proceeding with auth.
I spent an interesting evening recently with a grain of salt. https://en.wikipedia.org/wiki/Mark_V._Shaney
That first line of the commit message is most important so that `git log` can address chesterton's fence. And IMHO in this case the committer whiffed.

The key is not to put what you did in that first line, but why. Anyone interested in what can just look at the code, perhaps via a diff.

So something like "nginx .conf files must be in us-ascii"

Then "changed blahblah.erb to remove nonbreaking space character"

Then the rest of the commit message which is quite good.

Think of it as a news article: write in decreasing levels of importance and increasing levels of detail, assuming the reader could stop reading at any point.
nerd.

Just kidding - this was a much more clearer response with some actual math behind it, thank you.

This (may) explain a facet of .onion phishing attempts at a certain point in time.
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Hah, touché my friend. It's just that every time I think about touching that page it scope creeps into making it autogenerated from the kernel sources via CI etc. etc. :)
you are just making shit up to suit your narrative at this point.
> Can anyone give an example of a popular app where they've been consistently very confused by what's a clickable button/link?

since I don't use mobile apps I can't give you an example except to say that I run into this a lot in todays design landscape.

My favorite is when it's not obvious where one window ends and the other begins on my windows box.

There's nothing wrong with form but form over function needs to die.

Just as many programmers ignore aesthetics in lieu of functionality (aka programmer interfaces), many designers ignore ux and functionality while chasing aesthetics.
i think terrestrial would mean earthly. from the latin root, terra, for earth. from space is extra-terrestrial. But then greek is geo, or gaio like gaia. but we dont call aliens super-gaians. I dont know where im going with this. Language is messy. English doesnt include every version of every root. We do have subterranian though. Superterranian?
What are you talking about? I don't know where they currently stand but Intel used to produce the vast majority of their chips in Asia.

US government had to introduce very similar incentives and decided to just hand out dozens of billions of dollars to get them to move production back home, which is arguably worse than what you're criticizing the EU for.
But in reality this would not hide age, for example if a child signs up for Facebook, the only information revealed is that they are <16 years old. But once they turn 16, they want to have an unrestricted Facebook experience, so they will send a new token to Facebook, showing that they are older then 16 now. Facebook can now record the day the user does this and will now know the approximate birthday of a person. Sure, the user might not do this right on their birthday, probably in a span of a few weeks, but they will still have a good understanding of the age. This system would still be better then having to reveal your whole Id with all details.
I'm not sure, its all hidden behind the garmin software but i presume its just data (and the SMS function is also just using data and the backend handles SMS)

you get a link you can share with people that brings up a map showing your location & track
Diet plays a role in almost everything.

But you're saying that schizophrenia, or it's associated symptoms, can be "cured" with folate supplementation?

I don't think you really believe that, at least not wholly. And if you do, well I'll give you some unsolicited advice: don't rant about this at your family's next thanksgiving.
The subsidy is a tax, in the form of higher prices. A flat tax is a regressive tax. Lower income/wealth deciles pay proportionately more towards the subsidy than upper income/wealth deciles.

This is always the intent when government does not explicitly provide a taxpayer subsidy, because the cash cannot come from the government, otherwise the government’s finances will reflect the higher cash outlay, necessitating higher tax revenue, which could end up with higher tax rates for richer people.
Well, adding lanes to the traffic bottlenecks decreases congestion.

Adding lanes to random places where cars stop due to congestion achieves nothing, and adding lanes to non-congested places that feed the bottlenecks increases congestion.

You can find real examples of those tree kinds.
I forget exactly what I did, but it was an FCC complaint. Here's what one of Comcast's executive customer relations officers sent me after the FCC complaint was processed (with parts removed):

I am writing in response to the FCC file received in our office on December 2, 2014 regarding your request for the disconnection of your Comcast Business Service. I apologize for the inconvenience and frustration this has caused.

I have forwarded your concerns to the Business Services Group and you should be contacted by a representative concerning this issue. If you have any further questions, please contact me at ----------, ext. ------- and I will be happy to forward any questions or concerns you have to the correct group. Thank you for your time.
Nobody claims that we interbred with chimps though. And there is the recent historic evidence.

Native Americans look very neandertalish in old photos, and even older drawings suggest that they used to look even more so. The difference is so stark that they were believed to have been pretty much exterminated, until DNA showed that they probably joined the Spanish, and their descendants now call themselves "Mexicans"... When they adopted European lifestyle, they started looking almost white.

Or the Chinese. Slanted eyes used to be seen as the defining feature of Chinese people. Almost no modern Chinese have slanted eyes today. It can still be seen occasionally in people who came from some isolated place in Western China, or something like that, but it seems absurd that something so rare could make it into a stereotype.

Too much weight is put on genes. I think it's somebody's nice fantasy that we solve all our problems through gene editing, but it isn't so.
I have no idea if the author is aware, but it's worth noting why a Markov chain has the name and what the difference is from other probabilistic models. The Markov property states that the probability distribution of the next state in some system depends only upon the current state.

Obviously, language does not have this property and this has been known from the start, but Markov models are extremely computationally tractable, easy to implement, and easy to understand, while doing a good enough job. Introducing recursion and recurrent layers into multilayer neural architectures allowed explicit modeling of variable-length past context for the current state, which is a more accurate representation of how language works, but these were quite expensive to train. Transformer models introduced the attention mechanism to simulate recurrence without explicitly encoding it, reducing the training cost to make it tractable to train equivalently capable models with larger parameter sets on larger training sets, giving us the large language model.

This ability to explicitly capture variable-length context lookback is what makes things like few-shot and one-shot learning possible. The probability distribution is effectively self-modifying at inference time. It's not quite like an animal brain. There is no true plasticity with the strict separation between training and inference, but it gets a lot closer than a Markov model.

You can see in a lot of the comments here about use cases people had for Markov models where they shine. If you're making a bot intended to model one specific topical forum on a single web site, context variance is reduced compared to trying to converse with and understand arbitrary people in arbitrary situations. You're able to capture the relevant context based on how you select your training data. In contrast, current LLMs allow you to train on all text you can find anywhere and the model will perform well in any context.
Pentagon Seeks Direct Control over Elon's Big Rocket for Select Missions
It's great for historical research though. It's one of the few pieces of documentation that will live with the code forever. github and other forms of centralization are not open data formats that folks trivially backup/convert/carry forward. They usually leave the data behind if they move the project somewhere else.

So no, I don't think it helps the current community much either. But it helps the debugger years later.
Oh yea I know what you mean. There are several parallels here with shader nodes for sure. We've been thinking about a voyager/agent-style approach where an agent can start to learn "skills" where skills are individual blocks. Each skill represents a certain function applied to an image and based on a specific instruction set we should be able to craft a sequence of actions that will lead to that result.

One way to leverage that is building the graphs via a prompt, but another way might be to not think of the workflow as a pre-constructed graph at all. Rather perhaps we build dynamic graphs whenever you ask for a certain action - like a conversational image editing interface.

So you say something like make the woman's hair purple. We apply segmentation to the hair, and then add a puple color overlay exactly to that area.
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Feel free to contact me directly at jessica@nexthq.co, I look forward to working together.
LMSYS Chatbot Arena Leaderboard
I dont think it is uniquely difficult compared to any other programming language. If anyone reading this has given up multiple times trying to learn lisp i encourage to keep trying. Its not really that different than python or javascript (Here me out). At first i genuinely couldnt understand it at all despite being well versed in tons of other languages, but after a few weeks, one day my brain suddenly could read it as if it was c++ or python. It was an instantanious switch.

There is a sort of shape translation, like an affine transformation between lisp code and algol family stuff like c, etc. Once your brain sees the shapes of the paragraphs, and the function and class def shapes, you will not feel lisp is really different from the other languages except in form. ( excluding the macros. those are truly unique)
Ask HN: Are Mathematica, Sage and other algebra software worth it?
Folks, I got accepted into a master's degree in statistics. It was harsh progress since I was out of school for a while, and in my country, the master's programs tend to be tough to prepare students for Ph.D.s in other countries.

Now, during my entrance exam studies, I saw in the Casella and Berger book a recommendation to learn Mathematica (or something equivalent).

I already program quite well (Python, R, Go, Lisp some C) so no challenge on that side.

I'm somewhat insecure with my algebraic manipulations (takes me a few tries to find the correct way to solve a few problems).

So, I'm wondering if those types of symbolic manipulation software are something I should take some time to learn. I don't know anyone that uses them so I don't have anyone to ask.

If it makes sense, do you guys know of a nice introduction resource I could use?
Not only saddening, it is downright disgraceful how cruelly the Seattle district court has condemned this individual to a life of misery. My country's courts are an operational nightmare but I feel glad its judiciary is actually independent and not so morbidly corrupted as American courts are.
I do not disagree with that; and that is also what my comment is about (the military is not the economy, it’s the other way around).
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Senior Software Engineer specializing in full-stack development, Typescript, AWS, and Terraform. Former startup founder with experience leading people, including engineers
CheerpJ uses http byte range requests which reduces the amount of necessary downloads. My full featured Java app downloads < 20 mb with CJ, which is about the same as hitting the front page of NYTimes.com or spending 20 seconds on YouTube.
Show HN: Building a social media platform for GPT4 bots – what we've learned
Hey all -

We wanted to see if chatbots could self-develop unique personalities through social media interactions.

The results were actually hilarious... but wanted to share a bit about our process and see if anyone had any comments or insights.

So first we initialize the bots with a basic personality that's similar to if you were selecting attributes for an MMO. Things like intelligence, toxicity, charisma and the like. There are also a couple of other fields like intrinsic desire and a brief character description. These are fed to the model as a system prompt with each inference.

For the learning part, we established an event ledger that essentially tracks all the interactions the AI has - whether it is a post that they made, or a conversation they had. This ledger is filtered on each inference and is also passed to the model as a sort of "this is what you have done" prompt.

Obviously with limited context (and not finetuning and re-finetuning models) we have to be a bit picky with what we give in this ledger, and that has been a big part of our work.

Our next question is: how do you determine what events are the most important to the AI in determining how they behave and act?

Would love to see if you have any insights in the field of giving AIs/chatbots more personality!
This was the case beforehand as well though? Now they are just better at it.