skysight-inc/HackerNews huggingface dataset:
Appendix A should be mandatory interview questioning for anyone getting into this business. Question 9 is the ultimate test.
The prestige of these schools is a significant, if not the main part of their appeal. Admitting too many students would cheapen their name. It's an open secret that the admissions processes for the elite US schools is far from meritocratic. They do admit many top performers, since it's part of their image, but also prioritize children of the wealthy and powerful, children of alumni, and other prospects with traits good for their image. For example there was a recent scandal where these schools were found guilty of handicapping Asian applicants because there were so many who were high performing. If they admitted all of those who qualified academically they would become "the school for Asians" and that's not the image they want.
Is it really the testing that reinforces the learning? or is it the application over time?
Define "safe". We've built less than a thousand commercial reactors ever and we've had multiple incidents where the impact will be felt for decades if not centuries.

Nuclear advocates hand-wave away Chernobyl ("because Soviets") like they're the only ones who can cause an industrial accident. But what about Fukushima? Over $100 billion has been spent on the clean up and compensation so far, with the ultimate cost to approach $1 trillion, require tech that hasn't been invented yet and will take decades if not a century or more [1]

And for what? The highest LCOE of any power source used for mass power generation.

Now this idea (Deep Fission) is an interesting one. It's basically a take on geothermal where instead of relying on natural heating (eg from lava) you basically just use a small reactor. If anything goes wrong, you just bury the whole thing. This requires some more thought about what the failure modes look like and some analysis on what the cost of power is. It is an interesting idea though.

[1]: https://asia.nikkei.com/Spotlight/Fukushima-Anniversary/Fuku...
They could at least use a Wacom.
Consider: the difference between past and current interest rates.
The site crashed and burned..
Mind you that not all drives support this.

The Samsung 980 Pro does not.

It's kind a hard to find, as it's not something that is published.

Apart from your normal requirements, I want 4K sectors and eDrive (the BitLocker kind).
History will repeat itself:
https://en.m.wikipedia.org/wiki/Dynamic_Analysis_and_Replann...

“DART achieved logistical solutions that surprised many military planners. Introduced in 1991, DART had by 1995 offset the monetary equivalent of all funds DARPA had channeled into AI research for the previous 30 years combined.”
Isn’t this just reinventing Vite, but badly? Literally anything achieved in this project will be handled out of the box, faster, with less configuration necessary, and more documentation available, by just using Vite…

I don’t mean to dismiss the authors efforts here, but if you actually value your time, go with standard tooling and don’t overdo it with the runtime dependencies. There, saved you an afternoon.
interesting, thank you for the pointers.
I get your point, but many people find what they love and throw themselves into it without the intention or discipline to keep progressing.

Millions of amateur artists and musicians spend hours daily working on their craft without ever noticeably improving past an intermediate learner's level.
"As a group, girls outperform boys in school" - but is that true in science and engineering, as we're discussing here?

Regardless, I think most folks would disagree with the conclusion that: if group $X outperforms $Y, then every instance of $X is more qualified and competent than every instance of $Y. The OP did very much not say "$X are statistically unqualified for every job" as you're saying, they said effectively: "on average, a member of $X is more qualified to be there than an instance of $Y". That's a very different statement.

What we're talking about is taking the top N from an applicant group where the sizes of those two groups are very lopsided, that's a different discussion. I don't believe that the OP has proven that the quality of applicants between those groups are equivalent though (in either direction), which is important for comparing apples to apples.

(Edit): As a parent commenter said, we also don't know the raw numbers of people who applied from each group. So if we don't know the applicant quality nor the number of applicants, I don't think you can make objective statements about the average/median quality of the students that made it through this process.
Wow this is the first time i hear about such a method. Anywhere i can read up on how the temperature multiplier works and what the implications/effects are? Is it just changing the temperature based on how many tokens have already been processed (i.e. the temperature is variable over the course of a completion spanning many tokens)?
The impacts could be extremely positive, some people are starting to believe the very richest having an optional tax system in the US is bad for everyone.
Great stack, I use a very similar stack and for the same reasons. I imagine you’re also in your late 30’s.

Honestly the best UI I’ve seen is the terminal-based one at libraries in the 80’s and 90’s that allowed you to find books. Lightning fast and allowed the user to become an expert quickly, especially because the UI essentially never changed.

If you design things with Occam’s razor in mind, a full page reload doesn’t feel like one.

Nowadays I build software to last as long as possible without future investment of time and effort spent on maintenance. Meanwhile the industry seems to have developed some need to mess with their programs all the time. It’s almost like a tic.
Except when performance is directly measured (like a running race) this doesn’t really apply.

You can get a job over someone with higher skills for a raft of reasons. Connections, personality match with the interviewers, experience, you dressed better, communicated better, etc.

You can of course miss out on a job for similar reasons.

The world can’t perfectly evaluate your skill set, and even if you were somehow evaluated purely on skill I think it would be unrealistic to expect even a 5-10% gap to be detectable for programming/design type skills (and nobody is ever really hiring based purely on skill)
> I think this is a great idea personally given what these people are doing to avoid paying tax

I very strongly believe you to be wrong:

1. Unrealized gains is unworkable. Billionaires will spend tens or hundreds of millions yearly to avoid paying literally billions in taxes because the expected value is net positive. The IRS won't win chasing down money scattered across the globe. This is not a productive use of capital.

2. Taxing unrealized gains causes extreme capital flight. This is _bad_ for the US.

3. Taxing unrealized gains will lead to corporations and startups incorporating outside the US and keeping their assets outside of the US. This is _bad_ for the US.

4. Founders would very quickly loose control of the companies they started, including before they exit. That is really bad for startups and the ecosystem.

5. This is almost certainly illegal in the US at the federal level.

6. Every tax for the wealthy eventually targets the middle class.
Similarly if you advocate for more women in STEM jobs so straight men in those jobs can date in their workplace more easily ... maybe HR should keep an eye on you and you shouldn't consider yourself to actually be supporting real equality.
Another Eternal September.
Most of those non-AI projects are likely using well-established practices and technologies. From that perspective a 20% success rate seems pretty good to me.
They called the article an apocalypse, but the real apocalypse happened to their blog due to lack of caching of content.
> The fourth is a bit more borderline

The vast majority of comments on political/social topics fit your description. If you're thinking of the one I'm thinking of (not mine, if it matters), I can't think of any reasonable test that would conclude "this should be dead, but all those others can stay."

Edit: it's bigbacaloa's
> Sooner or later, you just start testing with the other teams' production/staging environments rather than deal with local incompatibilities.

That's probably about the time when your development pace goes downhill.

I think it's an interesting idea to consider: If some team interfaces with something outside of its control, they need to have a mock of it. That policy increases the development effort by at least a factor of two (you always have to create the mock alongside the thing), but it's just a linear increase.
Agree. See https://tinygrad.org/.
This is a common argument in discussions about nuclear power but it doesn't work. You can't claim that nuclear is safe based on history, you have to consider the potential.

A gun is dangerous even if it hasn't killed anyone yet. We know that if you point the gun at someone and pull the trigger they die, hence it is considered dangerous. We knew this even before the first gun killed the first human.

Similarly, we know that nuclear power plants can cause immense disasters in a worst case scenario, even though it hasn't happened yet.
I understand it to be by predicting the next most likely output token based on previous user input.

I also understand that, simplistic though the above explanation is and perhaps is even wrong in some way, it to be a more thorough explanation than anyone thus far has been able to provide about how, exactly, human consciousness and thought works.

In any case, my point is this: nobody can say “LLMs don’t reason in the same way as humans” when they can’t say how human beings reason.

I don’t believe what LLMs are doing is in any way analogous to how humans think. I think they are yet another AI parlor trick, in a long line of AI parlor tricks. But that’s just my opinion.

Without being able to explain how humans think, or point to some credible source which explains it, I’m not going to go around stating that opinion as a fact.
I'd like to think they'd have just had a laugh about it.
im finding the exact opposite

* blocking every known LLM url due to fear of leaking information to it

* not wanting to hire expensive data scientists for any in house development

I even asked an Engineering Manager at Meta how much their own team use Llama day to day to multiply their productivity. Their answer was they don't use it at all, and they weren't aware of any internal tooling to utilize it for work
He did fix the forgetting part, that's what sending an email to himself was for
How many $100m farms are there that are not part of publicly traded companies are there in the US?

And again, this is for publicly traded stock portfolios. Private farms won’t be broken up… yet :-)
and thats ok
Yes, but we have to be careful about double-taxing mortgages for ordinary home-buyers. Those home purchases are already taxed by local municipalities—and in many places that hits the SALT cap.
Thanks for sharing this, otherwise I may never know tge meanings of the terms on HN. I hope there was a guide.

Meanwhile I saw a dead post 0 minutes ago, is is true that someone flagged it immediately? I personally don't find the post evil but only little boring.
A bit late to the party but have you heard of or tried babashka? It's kinda the nuclear option but it might fit your use case.

https://babashka.org/
The teaching profession also happens to be female dominated and there are studies showing girls get graded higher for the same work as boys, so probably the bias starts at a young age.
> "year of the Linux Desktop"

Well, Linux as a desktop is quite popular amongst IT and developer types anyway. That's good enough fo rme.

In retrospect, I think I should be grateful that the Linux desktop never really went mainstream. It would have ended up being controlled by one (maybe two) companies and twisted into something that removed all of the benefit of it being open source to begin with.

So, ChromeOS, I guess?
> before the Immaculate Assassination Attempt

Can you explain what you mean be "Immaculate Assassination Attempt"?
It's a fairly safe prior - Dang does a pretty great job moderating here & I'm inclined to give him the benefit of the doubt.
Angry Men 1957 – colorized using an Artificial Intelligence called Deoldify
Deprecation of Password Logins on CLI with Docker SSO Enforcement
Perhaps they'd use it as the foundation to support a new friendship with each other /weak architecture joke
I have sent them a mail about it and will update somewhere if I hear back.

Update: I have heard back and should have a scan of it soon.
SO has no clue what it’s doing for example it’s newly launched Staging Ground is a dud. Or if you read most of their meta posts it’s just sadly weird.

https://meta.stackoverflow.com/questions/431399/staging-grou...
With current LLMs, I'd worry about the opposite. ChatGPT and Dungeons always ends up with it insisting problems be solved non-violently.
Considering time dilation, a detector inside a relativistic spacecraft will be hit by a lot of neutrinos in the apparent short duration of the mission.

I wonder what is the speed at which interstellar neutrino bombardment becomes lethal to a crew considering it’s essentially impossible to shield against them. You can put a mountain in front of the ship, but neutrinos will just pass through it like is a cloud.

OTOH if the ship is so fast neutrinos are a problem to the crew, that mountain will be suffering some intense ablation from everything including neutrinos that’ll hit it.
I read they're doing that in parts of Canada this year. In the province of Ontario, during the start of this school term, for example.

A great move, I believe!
Given the token budget they consume, the returns are literally diminishing. ;)
Yeah I’d say Twitter was probably what made it go downhill the most…
I know just Rust basics, what specifically makes it awkward? I'm not a heavy Rust user, so I'm having a hard time following, do you have any simple pseudo-Rust code you could share? I'm also a basic CRUD app dev by day, hobbyist by night.
Site has a database error, so can't read the report. But here's what it probably says. "80% of AI projects don't solve a critical customer need, and find themselves with low usage/sales, and eventually run out of runway"

It's the same reason most businesses fail. Sell something people want, and people will buy it. Sell something people don't care about, even if it's powered by cool tech, people still won't buy it.

It probably also says something about the high cost of AI... but frankly if you're providing enough value to the customer, you can up your prices to compensate. If your value is too low (ie: not selling something people want) people won't pay it.
The answer is not to use a templating engine. TSX is the gold standard here IMO. Using it with https://fresh.deno.dev/ is soooo much nicer than old school templates.
I guess I’m pretty valuable then because my hit rate on AI projects I’ve lead is over triple the industry average.
Fair enough. I'd just argue that "peers" is not solely determined by degrees. Of course, it's easy for me to say I don't care; I have too many of them. But I know a lot of people care a lot.
another confounding problem is how the FDA classifies and approves devices for clearance. most regulatory strategies have the company strive to find a predicate and prove they are substantially equivalent (SESE), which generally means a class II device, which does NOT require clinical data for clearance.

it's frustrating that the article uses the term "approve" which is specific to PMA devices (class III), whereas class II devices are "cleared" by the FDA.

- a medical device executive
But the man in black leather said that people don’t need to learn to code because AI will now do all the coding. Who should we believe?

Also, it is funny seeing how all the AI true believers in this thread coping. I am going to go short Nvidia after its earnings whatever the earning results. It is such an obvious trade.
The the mandatory yearly corporate BS trainings.

Organize your inbox.

Do that one thing you've been wanting to but is lower priority, like learning a tool or working on a low priority bug.
> All of the Seasonic power supplies that go beyond 1kW or so will trip my shitty (i.e. probably defective) Siemens AFCI breakers.

In my experience, the Siemens AFCI just do that. I recommend switching them out for Eaton AFCI. That fixed all my nuisance tripping, especially from induction in other lines
> I find it extremely hard to read. Even small snippets,

And unfortunately, you won't get much compiler assistance either with Clojure, beyond basic things. So it's easy to have bugs that will take a while to track down in a complex codebase.
Yes. No one learned any lessons the last time around with "put everything on the blockchain".
Or maybe they did learn you can make a profit off of hype alone, but it's not making the end user or anyone else's life better as a result. Who cares - line goes up, people get promotions.
Actually, Rust's rules really wants your data to look like trees. Requiring each value to have exactly one owner is not really different than requiring each node of tree to have exactly one parent.

The problem however comes when you want to reference the parent from a child. In the ownership/reference graph that would also count as an edge, and hence creates a cycle with the parent-to-child edge. There are workarounds like using weak reference counted pointers or indexes into arrays, but ultimately they don't offer the same ergonomics as other languages and it's better to design with only parent-to-child links.
From the key findings:

> First, industry stakeholders often misunderstand — or miscommunicate — what problem needs to be solved using AI.

So the #1 problem every startup faces.

> Second, many AI projects fail because the organization lacks the necessary data to adequately train an effective AI model.

This is interesting, and reinforces the trend towards hoarding data assets.

> Third, in some cases, AI projects fail because the organization focuses more on using the latest and greatest technology than on solving real problems for their intended users.

Makes sense, tough to pick an architecture or model to stick with when better options release weekly.

> Fourth, organizations might not have adequate infrastructure to manage their data and deploy completed AI models, which increases the likelihood of project failure.

Sounds like lack of capital.

> Finally, in some cases, AI projects fail because the technology is applied to problems that are too difficult for AI to solve.

So only a minority of cases? All in all this report seems to be saying "AI is promising but startups are still hard".
> haplogroups are a well defined aspect of genetic study and are very well defined geographically

Nobody is claiming there are no genetic differences between populations of people. People are reiterating that race is an entirely socially-constructed concept. Human racial categories are not based on genetics.

> It’s why the Germans look so distinct to Australians and so on

As a white person, they both look like average white people with Northwestern European heritage to me. If you had a room with 100 random white people, I guarantee you I couldn't pinpoint to the Aussies or Germans by looks alone.

Race is not defined by genetics. Genetics were used to justify race. Race is also extremely nebulous. According to the US Census, an average Norwegian, Sicilian, Mexican, and Arab are all considered to be white. Again according to the US Census, on average, if you are from southwest Pakistan, you are Asian. If you are from southeast Iran, you are... caucasian? See how stupid this classification is?

I would bet good money that the genetic difference between someone from Iran (White) vs. Pakistan (Asian) is substantially less than someone from Pakistan (Asian) vs. South Korea (Asian).
in my time bafoeg was 50% loan, and it would only cover living expenses and study material. if university cost actual money, financial support for it would be another thing entirely.

the point is: does charging for university and then giving financial support to those who need it really change anything other than causing more bureaucracy and risking that some people can't go because they don't qualify for financial support yet shy away from the expense?

reducing taxes so that people have more money so they can afford paid education is not going to lead to more students but less.
I think our ancestors may have made use of ropes and simple wooden frames to lift the spears and hold them at the right angle, from a safe distance.
Why isn't it today?
I don't. I take the rest I need, and try again another time. This is where remote work shines - I try not to let my teams fall into the trap of 9-5 hours. I encourage everyone to work when they are productive, and don't force it when they are not. As long as the work gets done, it is all good.
I'm not a computer graphics expert, but traditionally (since long before the latest 3D gaussian splatting) I've seen splatting used in computer graphics to describes a way of rendering 3D elements onto a 2D canvas with some "transparency", similar to 2D alpha compositing. I think the word derives from "splatter" - like what happens when you throw a tomato against a wall, except here you're throwing some 3D entity onto the camera plane. In the current context of 3D gaussian splatting, the entities that are splatted are 3D gaussians, and the parameters of those 3D gaussians are inferred with optimization at run time and/or predicted from a trained model.
Aero was still used in Windows 7, with some additional nice features. But I agree, it was the high point of Windows for me - jump lists, Aero Peek, window snapping. It was all transformative.

Then they threw the baby out with the bath water in Windows 8.
What are some specific examples? I see experts criticize politicians all the time.
Always crazy to me there isn't a "blender for music" equivalent.

Seems like a fun project! I wonder if the problem is licensing.
Now you're talking about wealth transfer - and that is already taxed, though we've dropped the amount it's taxed. We could certainly raise the amount it's been taxed, and it should be a progressive tax.
0.8 correlation with adult height for boys aged 4, according to [0]. The real study [1] is paywalled but looks legit. I'm guessing it's even higher at age 12, though it might be confounded by puberty soon after.

[0] https://www.theatlantic.com/ideas/archive/2020/02/can-you-pr...

[1] https://pubmed.ncbi.nlm.nih.gov/21767107/
I agree with you, DF is a good example that people can enjoy computer-generated "stories", and I think the simulation is definitely part of it.
Nobody with assets over 100m has a "pile of gold", as you put it. Those assets are always productively invested in some form or another. But you would prefer that those investments be pulled, because the government are clearly much better at employing those assets productively?
Our hackathons have changed from - implement a feature the clients might find valuable to implement ai in anywhere and everywhere in the solution.
I always think I should probably try out having multiple things in the screen at once, but... I usually forget that feature exists when I'm actually working...

I'm kind of amazed by a lot of programmers, it seems like they have multiple threads running in their mind at once, writing code while also optimizing their workflow and laying things out on the screen and keeping track of where different things are, all often while generating ideas for how tools could be better.
Oh yes. I have done an app actually with stripe integration. I will try to put out a repo with that in the future. It was pretty straightforward.
I wonder what that percent actually is after adjusting for inflation
It was made for me, so I'm trying to make the best out of it.
What does HEMA community refer to?