skysight-inc/HackerNews huggingface dataset:
so basically one of the articles talks about why there should be an equal amount of matter and antimatter in the universe but in reality we havent been able to find antimatter, is it possible that our entire observable universe is a small area with matter rich concentration and there exists a much much bigger structure of the order of 1 decillion light years where random areas have concentrations of matter and antimatter and we are unfortunately stuck in the area with matter?
Wrong. Shotguns haven't shown any real efficacy when used by soldiers (or homeowners) on the ground. In the USA it is a federal crime to shoot at aircraft, including drones.
Iceberg is a pretty cool guy, he consolidates the Parquet and doesn't afraid of anything.
There are two campuses in Wuhan. One has BSL-3 facilities, the other BSL-4. Not all work is done at the highest BSL available for cost and practicality reasons though. American rules were that research on agents in the same classification as COVID is BSL-3, but routine diagnostic work is only BSL-2. Chinese researchers classified both at BSL-2.
Gain-of-function in the virology context doesn’t mean creating helpful microbes/viruses. It means purposely engineering pandemic-caliber viruses so that (the theory goes) we find them before evolution produces them naturally and so have time to study them and create vaccines before they are widespread.
Actually under the original Trump administration.

The intel community never dismissed the lab leak theory. The discrediting of it was 100% a psyop
Naw, this doesn't lower the compute demand. It simply increases the availability for companies to utilize these models.
leetcode.com - If you interview at Meta, these are the questions they'll ask you
Basically, things like "It started in Wuhan near the WIV" implies that we actually have found the first case, etc., when this is notoriously difficult to do, especially with a disease that can have mild or asymptomatic presentation.
Thanks. There are no examples in the repo, but I will run it on our codebase on Monday and see what I get.
That's a good point. The app actually uses an openid-connect library on the client side for OIDC flow with the authorization server. Since the apps delegates the flow to the library it does not have a full control over error handling.
Reasoning from science fiction isn't a particularly strong approach. And every possible future is distopian - even the present is distopian in a practical sense. We have billions of people who live well below any standard I woudl consider acceptable.
Biocontainment just means that the virus stays in the lab and doesn't move outside it - be that the disposal of lab materials, accidental infections, etc.
The project founder uses GNOME and it says that GNOME is the desktop in various places including the project website and Wikipedia.

Other options are available though and there is even a KDE live bootable image. I use Chimera Linux with KDE.
Don't all university press magazine things have this kind of imagery? Seems very common and not really telling you anything at all.
Changes its position radically? The FBI came out saying it had moderate confidence in the lab leak theory in 2023, right in the middle of the Biden administration [0]. The DOE came out with their own assessment a few days earlier [1]. The CIA's position was hiterto "we're not yet sure", and now it's "we still aren't sure but we're leaning towards lab leak". That's not a radical shift, it's a very slight shift in the direction that other three-letter agencies have been leaning for years.

There were almost certainly some politics involved in the decision to release the report now, but it's not like the CIA were staunch advocates for zoonotic origins up until now, and again: Biden's FBI and DOE were already leaning this way!

[0] https://www.cnn.com/2023/02/28/politics/wray-fbi-covid-origi...

[1] https://www.cnn.com/2023/02/26/politics/covid-lab-leak-wuhan...
Talk to people you know. Everyone you have ever worked under over or beside. Consulting is networking and sales.

Understand that working around your schedule is going to be a non-starter for many potential clients. It conveys a low commitment to their problems. Low commitment breeds low trust. Consulting is b2b and b2b is built on trust.

Finally, it is reasonable to assume that the market for your work is efficient and that the exiting base of good clients is more or less already served by the existing cadre of consultants. This means that hanging out a shingle will tend to attract clients who are more problematic than ideal. Good luck.
If you tolerate this type of hyperbole, then great. I don't have any interest in it, and this author has alienated me and surely many other adults who don't have time for the linguistic stylings of a 14 year old who hates his dad. So, it is a style, yes, but it has consequences for how (and whether) the content is received, because people have to make judgement calls on what is worth their time. This is not, for me. Whatever he has to say, it can't have been that important, or he would have put it into a form that wouldn't arbitrarily alienate and annoy people.
I do the same thing out here on the west coast if I'm at a bar or whatever.

But I think the hatred would be less if the average person actually felt like we were providing value proportional to our salaries, not just having salaries proportional to our intelligence.

They also do not accurately understand the cost of keeping things running, which is a problem not isolated to tech.

EDIT: wow I'm a special kind of dyslexic tonight. Got east and west mixed up. I live in Boston roflmao. I was picturing you living in northern cali or something >.<
Why? Just look at the last year for how cheap inference and almost all models have gone down in price. OpenAI has 100s of millions of daily active users, with huge revenues. They already know there will be big jumps like this as there have in the past and they happen quickly. If anything, this is great for them, they can offer a better product with less quotas as they are severely compute bottlenecked. It's a win-win situation for them.
What I never understood about the politicization of the lab leak theory is this:

How is it more racist and Sinophobic to support the lab leak theory vs the wet market one?

The lab leak theory has single individuals messing up.

The wet market theory judges an entire nation's culinary habits.

Of course racism has nothing to do with the Truth of COVID's origins. Im was just always perplexed how the lab leak ended up spun as more "racist" than the wet lab one.
> Chimera's recommended desktop is GNOME

But that's the opposite of a simplified desktop
Two things to note:

1) Multiple departments of the executive branch were saying this under Biden too.

2) The US gov’t funded the biological weapons research lab at Wuhan. Mr Cotton has been a senator for 10 years, and therefore was around when the funding was approved. So if he wants to find someone to punish, maybe he should look in a mirror.
LOL, my RL professor is gonna be happy. After the field got overlooked for soooo long
Depending on the topic, almost no relationships meet your definition of ‘non-toxic’ in my experience. And I’ve had a lot of experience.
Apple is pretty much the only company that cares about this it seems, I honestly wouldn’t be able to tell the difference between 4K HDR content available on iTunes/TV+ vs Blu Ray.

If you subscribe to Paramount+ in the TV app, you get the entire library in a higher bitrate compared to actually using Paramount+, it’s incredible how unwatchable some shows were bc P+ basically just thought 1080p 8mbps H264 was good enough for everyone.
> Anyone can say this about anything.

Anyone can say it but Biden has lots of evidence, as outlined, which others don't have. I'm talking more about protecting Hunter against future prosecution and persecution, not cutting his sentence short (though I wonder what comparable convictions get).
That's actually the whole company.
I remember when Backbone first came on the scene and “get your truth out of the DOM” was the rallying cry.

I'm going to cheat and get a list from AI:

1. Difficulty in maintaining and debugging: When state is scattered throughout the DOM, it becomes challenging to track and manage, leading to code that is hard to maintain and debug.

2. Performance issues: Frequently querying the DOM for state information can be more expensive and slower compared to accessing data stored in JavaScript objects or dedicated state management solutions.

3. Lack of a single source of truth: Storing state in the DOM makes it difficult to establish a centralized, authoritative source for application data, which can lead to inconsistencies and errors.

4. Synchronization problems: Keeping DOM elements in sync with a mutable list of data can quickly become complex, especially when dealing with dynamic lists or elements without unique identifiers.

5. State persistence issues: DOM-based state is vulnerable to loss during page refreshes or navigation, which can lead to poor user experiences, especially in single-page applications.

6. Scalability challenges: As applications grow, managing state in the DOM becomes increasingly cumbersome and can result in performance bottlenecks.

7. Difficulty in implementing advanced features: Techniques like time-travel debugging, state snapshots, and easy hydration become more challenging or impossible when state is primarily stored in the DOM.

8. Increased complexity in component communication: Relying on DOM for state can complicate the process of sharing data between components, potentially leading to prop drilling or other anti-patterns.
I feel like it gets posted at least yearly.
I have also used the GNU tools but the BSD ones are winning me over. Another benefit is consistency with macOS I suppose. It also uses the BSD userland.
Personally, I’ve also seen those emotional support networks used to destroy and manipulate women within them by other women within them.

And to target the men ‘attached’ through the women within those networks.

Under the guise of emotional support.
It's not just here, it's everywhere. I'm excited for the day the hype bubble collapses.
What's the difference between a train underground and a subway?
I want to live in a world where tech workers aren't the only people with this freedom.

How can I as a software engineer by trade help make this world is the question?

The talent pool would be improved if not everyone felt they had to become a techie just to live a comfortable life. Though I will say the resurgence in interest in the trades is a good sign, even if it also often comes with a certain rejection from education in general...

Idk, lots of big problems and questions here.

P.S. I'm sorry your brother can't be happier for the good things in your life.
If I remember right, win2k had the dog. It would appear during Explorer search.
The DeepSeek R1 paper explains how they trained their model in enough detail that people can replicate the process. Many people around the world are doing so, using various sizes of models and training data. Expect to see many posts like this over the next three months. The attempts that use small models will get done first. The larger models take much longer.

Small r1 style models are pretty limited, so this is interesting primarily from an “I reproduced the results” point of view, not a “here is a new model that’s useful” pov.
Model weights contain a mapping between logit index and the string representation of that token.
I check in on Copilot every quarter or so to see if it’s gotten smart enough to write one of my simpler PRs for me, and as of 2 weeks ago it’s still not. Makes writing test cases a bit faster, but that was never really a bottleneck.
You provided a great example of using the conscious choice to seed as a way to signal an upvote. What better way to promote something other than the commitment to redistribute the content? In the context of P2P, it occurred to me that it's also possible to design a fully decentralized comment system using a naming convention. Each comment would be a torrent named after a given scheme, making it possible to track and discover comments related to another torrent. Since seeding means upvoting, then the best comments would be the most seeded ones.
I always assumed the reason is that you are working with the pretrained model rather than against it. Whatever “logic” rules or functions the model came up with to compress (make more sense of) the vast amounts of pretraining data, it then uses the same functions during RL. Of course, distillation from a strong, huge model might still help more than RL directly applied on the small model because the strong model came up with much better functions/reasoning during pretraining, which the small model can simply copy. These models all learn in different ways than most humans, so human-based SFT can only go so far.
My dad was one these ARVN soldiers. In the final days of the war he and his drill sergeant stole a helicopter as Saigon fell and flew west, expecting to keep fighting. They wound up in a refugee camp in Thailand and eventually made it to the US. He wouldn't see his family again until Clinton normalized relations with Vietnam 20 years later.

In those final moments, soldiers who knew how to fly took whatever aircraft they could get their hands on, (Chinooks, Hueys, Cessnas, etc.) and flew aimlessly, hoping to run into friendly forces along the way before their fuel ran out.
Yeah, it's mind boggling how sinophobic online techies are. Granted, Xi is in sole control of China, but this seems like it's an independent group that just happened to make breakthrough which explains their low spend.
This is something that confused me also. I feel like this is a reasonable argument.

My only criticism I guess would be that this is unfalsifiable, so for the time being it's more productive to see if there's any possibility to explain that within the observable universe.
This seems to be one of the most dangerous propositions that I have ever heard of. Given human history, human psychology, human error, politics etc.

What am I missing here? That biolabs are the only human made thing that can be made absolutely 100% secure?
Meta's Free-Speech Shift Made It Clear to Advertisers: 'Brand Safety' Is Out
Why care whether something is AI slop or human slop? It’s not worth reading in either case.

The arguments presented here look suspiciously like the arguments scribe classes of old used against the masses learning to read and write.

Seems like we’ve gotten to the point where sloppy writers are worse than LLMs and assume that all “meticulous” writers are LLMs. The only convincing “tell” I have ever heard tell of: characters such as smart quotes, but even those can just be a result of writing in a non-standard or “fancy” editor first. I’ve even seen people say that em dashes are indicative, I guess those people neither care about good writing nor know that em dashes are as easy as option + shift + hyphen on a Mac.
> Say a pretty complex library has 30 dependencies. I fork it, I remove the dependencies, and now it doesn't build anymore. What do I do?

If you don't know what to do in this situation it means you don't know how your dependency works, which means you've abdicated responsibility for your own code's runtime behavior. Please don't take this as accusatory, I do this almost every single day at work because it's unavoidable--I'd be fired if I didn't. But it makes me feel dirty.
What’s the significance of some of the images in this article? They seem unrelated to the interview text.
A blog is more suitable for that. You could mirror the posts on a forum and look sophisticated.
Exactly. The paper linked in the grandparent is questioning the exact date of reintroduction, not whether reintroduction occurred. The usual guess seems to be

> the result of vaccine trials in the Far East involving the challenge of several thousand military recruits with live H1N1 virus (C.M. Chu, personal communication)

https://www.nature.com/articles/nm1141

That part is genuinely uncertain though, and probably unanswerable. Historical surveillance was weak, and those who do have information may not wish to implicitly confess to hundreds of thousands of deaths.

No one is seriously questioning that it spent ~20 years in a lab freezer. There was some speculation about virus frozen in the Arctic or such; but since that's never been observed to happen any other time, and multiple labs were known to be working with frozen and thawed virus, I think that's pretty abandoned.
The underlying premise of all of this, of course, is that governments have any interest at all in limiting their own visibility.
In the evolution of English language usage the term "subway" is almost always associated with passenger transport by train.

A "train underground" my or may not have passengers .. the majority tonnage of trains in mine systems is ore transport, many such systems never carry passengers although, of course, some do at shift changes.
In a long forgotten past a large part of my graduation was Prolog (I was as far ahead then as i'm behind now with the ol' AI thing; I worked on mixing neural nets, reasoning with uncertainty with Prolog at the time) and, after hallucinatory episodes living, sleeping, (day)dreaming in Prolog for months on end, when something was finished I was always so surprised how clean, readable and 'too little' the code looked for what it did. Once you really grok it, it's a magic tool. I replaced it with Common Lisp after (in my uni, there was no mention of Lisp; we didn't even know it existed basically besides some weird scribbles in papers which were easy enough to study so we didn't give it more thought) and have the same feelings/experiences there but CL is usable for basically anything, including logic programming.
If only there was an inter-national body that everyone contributes to and that does these things /s. Both parties here are at blame: China didn't fully cooperate with the WHO and the US recently kicked it out.
Perhaps reparations by China could be modeled after the reparations by the US, for the devastating 1918 Kansas/USA flu.

Noting that the above statement honors the notion that flu ought to be named after the country of origin.
> Hilbert-curve based clustering which solves a lot of the downsides of hive partitioning

Yes, that solved the 2-column high NDV partitioning issue - if you had your ip traffic sorted on destination or source, you need Z-curves, which are a little easier with bit twiddling for fixed types to do the same thing.

Hive would write a large number of small files when partitioned like that or you lose efficiencies when scanning on the non-partitioned column.

This does fix the high NDV issue, but in general Netflix wrote hidden partitioning in specifically to avoid sorting on high NDV columns and to reduce the sort complexity on writes (most daily writes won't need any partitioned inserts at all).

While clustering on timestamp will force a sort even if it is a single day.
I guess some people in the US call someone beyond their 12th grade in high school, or fourth year in an undergraduate program a "super senior."
A few weeks ago China would rather shut it down than relinquish control. I wonder what they are being offered now to change their minds?
Learning by doing is the simplest thing that might work. Doing is the way to start doing. Doing things wrong is the way doing usually starts. If you are exceptionally lucky, doing very very badly will be where it starts. Irregardless, where and how you start matters not relative to just starting.

To put it another way, it is not rude to suck at robotics. Good luck.
Indeed. My experience in a large company is that you get a promotion faster by joining a low skills, low performing team than joining a very successful team.
I felt that Westwood's strategy games were built around their single-player campaign experience. As a result, their story, FMV, and gameplay were designed to support that focus. The simplity meant that players could get into the game easily.

However, this also meant that the gameplay wasn't well-suited for deep strategy or multiplayer, which was what RTS ended up being about down the road.
As i alluded to in my comment, I put “terrorist” in quotes precisely because I recognize the nuance. I agree that it is not productive to resort to lazily labeling militant groups as “terrorist”. That was the entire point of my original comment, which seems to be lost on you.

> Regarding Plan Dalet, saying that most of the non-jews were killed or forcibly expelled is simply not true, not chronologically or factually.

Right wing Israeli historian Benny Morris writes:

> the bulk of the Palestinian refugees—some 250,000 to 300,000- went into exile during those weeks between early April and mid-June 1948, with the major precipitant being Jewish (Haganah/1ZL/IDF) military attacks or the fear of such attacks

> In conformity with Tochnit Dalet (Plan D), the Haganah master plan, formulated in early March 1948, for securing the Jewish state areas in preparation for the expected declaration of statehood and the prospective Arab invasion, the Haganah cleared various areas completely of Arab villages

In his paper “A new historiography”.

His estimates of expulsions are on the low end compared to other Israeli New Historians. And of course much lower than Arab historians are estimates as well, but I have a sinking feeling that citing Arab historians wouldn’t be productive in this particular exchange.
Matlab fan here. I've been very impressed with how the product has grown over the years. Its documentation is especially superb. I've been able to get great overviews of signal processing, physical simulation, and many other topics just by going over the examples.
I mean, he isn't wrong though. America back then was truly the paragon of the world and most Americans took pride in that fact and strive to live up to it. Nowadays the public is so divided half the country can't agree with the other half even on critical issues. Asylee now would certainly get treated with much more institutional hostility than back then.
Why are economists in the US today able to exercise such sway over the state?
https://archive.ph/Aaxlk
> [...] 1000 times human intelligence, we are suddenly completely powerless [...] The liftoff conditions literally have to be near perfect.

I don't consider models suddenly lifting off and acquiring 1000 times human intelligence to be a realistic outcome. To my understanding, that belief is usually based around the idea that if you have a model that can refine its own architecture, say by 20%, then the next iteration can use that increased capacity to refine even further, say an additional 20%, leading to exponential growth. But that ignores diminishing returns; after obvious inefficiencies and low-hanging fruit are taken care of, squeezing out even an extra 10% is likely beyond what the slightly-better model is capable of.

I do think it's possible to fight against diminishing returns and chip away towards/past human-level intelligence, but it'll be through concerted effort (longer training runs of improved architectures with more data on larger clusters of better GPUs) and not an overnight explosion just from one researcher somewhere letting an LLM modify its own code.

> can humanity trust the power hungry billionaire CEOs to understand the danger and choose a path for maximum safety

Those power-hunger billionaire CEOs who shall remain nameless, such as Altman and Musk, are fear-mongering about such a doomsday. Goal seems to be regulatory capture and diverting attention away from the more realistic issues like use for employee surveillance[0].

[0]: https://www.bbc.co.uk/news/technology-55938494
SQL with CTEs is also Turing complete, which is not necessarily ideal. The Rule of Least Power https://en.m.wikipedia.org/wiki/Rule_of_least_power suggests avoiding OP languages. Less powerful languages can be more transparent (great for expressing contracts, e.g. specifications), tractability (proofs, optimization, termination, etc.) and so on. Many systems have been ruined by making them Turing complete.
When you say it that way it was an incredible coincidence