skysight-inc/HackerNews huggingface dataset:
Computers are still Von-Neumann machines, and other architectures lost out due to the great returns on investment for that architecture. However, in the AI world, this might not be the case. For instance, neuromorphic computing is one example, and there are others. Or back to analog again! Superposition is instant—no slow adders with carry bits to propagate! Who knows. Fun times!
Sadly, while this sentiment may be useful to a small segment of society that is highly skilled in navigating our polluted information environment, the vast majority of our society cannot even maintain a grasp on reality, much less coherently reason about solutions of any kind.

People live in alternative realities depending on if they get their news from CNN, Fox, TikTok, Instagram, X, YouTube, or BlueSky. Here's a recent clip from Joe Rogan that illustrates this perfectly [0]. He talks about the different perspectives of liberals and conservatives on USAID.

It's likely this will get exponentially worse once our social media feeds become full of AI imposters competing with one another for everyone's attention with outrage bait and fake drama and entire fabricated social media bubbles in which each user is made to feel like the ruler of their own little fiefdom.

Video and audio content appealing to every unique combination of biases, superstitions, and political orientation will be available in an endless deluge. I got a preview of this recently when I saw the surreal, gross videos YouTube Reels serves up to my toddler. Similar slop gets eaten up by easy targets on FB. But the slop is going to become more and more sophisticated until everyone is consuming it.

I can only hope the solution comes before it's too late.

0. https://youtu.be/yj9jXMEzCZY
Cricket on the radio is absolute bliss, I'm sure Americans feel the same about baseball.
None of those would be tops on my priority list. They got plenty of homeless people and/or mentally ill in the US not being cared for
Then I apologize, I evidently misread your original comment.
I think that the problem is that Europe does not want to acknowledge that they are at war with Russia. Russia says that they are at war with Europe and they are testing the waters all the time, just last night flying a drone against the Chernobyl dome. Europe is not willing to confiscate the Russian assets in Europe or deal with Russian oligarchs having dual citzenship and still doing bussiness, or with all the sanction avoidance that is going on.
> why do the details matter?

This statement encapsulates nearly everything that I think is wrong with software development today. Captured by MBA types trying to make a workforce that is as cheap and replaceable as possible. Details are simply friction in a machine that is obsessed with efficiency to the point of self-immolation. And yet that is the direction we are moving in.

Details matter, process matters, experience and veterancy matters. Now more than ever.
Take it easy, he was just following orders.
Nvidia does not want slicing.
This isn't news. Why on earth would anyone think it was better than this?

If you want time more accurate than 50ms, there are tons of options. NTP is not remotely one that any competent scientist or engineer would employ. This is basically the equivalent of saying "I've looked into it, and Toyota Corollas do not have a 0 - 60 time of less than one second." - and that would be the answer to why no one is talking about it.
He got a technical fellow title, the money, and the company that enabled him to make all the good things in the future. He would have never made any of that if he stayed with Borland.
> And when I'm not running LLMs, the memory is useful for other stuff

Let's be honest, the other stuff is just Chrome: Tell me 96gb is enough?
Who is doing time sync over HTTPS? Is anyone?

For most civilian purposes, time sync is done with NTP, which, using Marzullo's algorithm, can reduce error to around 0.5% of RTT, nothing like "half of RTT". Did you read "0.5%" and thought it meant "50%"?

Is your complaint about something specific? This problem seems imaginary.

> Engineers on NTP forums have confirmed that half of RTT (Round Trip Time) is the firm limit

Which engineers? That statement is not true.

> Some engineers are experimenting with ways to push accuracy below 10ms

Which engineers? NTP accuracy is typically around 0.5ms in good conditions.

The use of the ’ smart apostrophe and the weird 1⃣2⃣ makes me think this post was written by a very confused AI.
So why are you guys not becoming Heroku compatible?

https://github.com/gliderlabs/herokuish

Something like this + Procfile support should allow you to gobble up Heroku customers [like us] quickly since they've been stagnating for long, no?
If value by Seattle housing market, probably way more than 2 million. I'd assume people usually dump this kind of money in housing markets.
> If the cost of an easily managed solution is low enough

Because vertical scaling is now large enough that I can run all of twitter/amazon on one single large server. And if I'm wrong now, in a decade I won't be.

Compute power grows exponentially, but business requirements do not.
Blah blah. Don't group me with you. You're the type of person who would support making self fueling illegal because what will the fuel boy do then...
I welcome the day ai can take my job.
I have certainly been doing that. I have actually just gotten a couple of responses from some applications inviting me for an interview. Kind of a taxing way to potentially get some human feedback, but I guess we'll see how it goes.
I work with people who speak about a dozen languages collectively. Watching Webex try to caption is hilarious. It’s wrong every time a non native English speaker opens their mouth.
In industries like finance each datacenter will have its own GPS receivers with dedicated antennae, and custom timekeeping devices to act as the local stratum-1 servers, and use PTP. Within the DC servers will have very low jitter and high bandwidth network routes to ensure tight accuracy, typically over different networks than the high-traffic connectivity, eg. different interfaces. Where you really really care you can further optimize the OS to ensure tight timekeeping.

Industries that care aren’t sourcing time across residential ISP links and consumer NTP sources. But, for most people it’s accurate enough.
The IRS Is Buying an AI Supercomputer from Nvidia
https://docs.anthropic.com/en/docs/build-with-claude/pdf-sup...
Reminds me of Unity. Maybe it's a curse of all technical companies when they stopped to improve the core of their core product but instead flow horizontally.
Looked over every comment hoping to find this. Kind of negates the whole article, and it should.
I was told that you shouldn't really count on clock synchronization in distributed systems because it isn't really possible. Einstein says so

https://en.wikipedia.org/wiki/Relativity_of_simultaneity
> The biggest problem: developers don’t want GPUs. They don’t even want AI/ML models. They want LLMs.

My current company has some finance products. There was machine learning used for things like fraud and risk before the recent AI excitement.

Our executives are extremely enthused with AI, and seemingly utterly uncaring that we were already using it. From what I can tell, they genuinely just want to see ChatGPT everywhere.

The fraud team announce they have a "new" AI based solution. I assume they just added a call to OpenAI somewhere.
I was recommended to do it by my Year 3 (age 7/8) teacher because my handwriting was so poor.
>someone can run their code 1 million times faster than a competitor

I’d bet most code we use every day spends most time just waiting for things like disk and network. Not to mention it’s probably inherently sequential.
I think it’s having a comeback, at least it’s popular at my kids elementary school - a pro came by to show it and all the kids wanted a set. Watching the videos of competitions with my kids was surprisingly fun
Life’s greatest, least rewarding challenge; continuing to live when a loved one cannot.
in this case the fed would be the SEC, municipalities are exempt from reporting as is, LE incidents would remove that exemption and require some levels of transparency related to the municipalities LE incidents, to let people know what they are funding
So, responsible disclosure isn't a thing anymore?
Definitely an American thing, yes, haha
All the while I've been calling C and C++ code (hard stuff but C++ interop is ... hard) from Ada for 15+ years and calling Ada code from C too. python from Ada and Ada from python too. Ada from Java through JNI. Writing postgres extensions in Ada. It's not always a panacea but it's possible.
He didn't really code in the book either... maybe 5% of the book... he did some script kiddie type exploits, some copying of proof of concepts, and some minor modifications (like modifying the "logon" program to save passwords somewhere in cleartext).

75% of the book is spent social engineering over the phone and 20% doing stuff on phone switches and other equipment.
It needs a lot of enhancements to be useful. Firstly it should be a real time video like the simulations in the movie about Capt Sully's water landing in the Hudson. The aircraft lights need to be modeled accurately as well as views both with and without night vision equipment.
I think that’s the same answer someone would say about an IBM mainframe in 1990. And just as wrong.

I’ll use my stupid hobby home server stuff as an example. I tossed the old VMware box years ago. You know what I use now? Little HP t6x0 thin clients. They are crappy little x86 SoCs with m2 slots, up to 32GB memory and they can be purchased used for $40. They aren’t fast, but perform better than the cheaper AWS and GCP instances.

In that a trivial use case? Absolutely. Now move from $30 to about $2000. Buy a Mac Mini. It’s a powerful arm soc with ridiculously fast storage and performance. Probably more compute than a small/mid size company computer room a few years ago and more performant than a $1M SAN a decade ago.

6G will bring 10gig cellular.

Hyperscalers datacenters are the mainframe of 2025.
Fair point. In that particular circumstance I had no desire to learn the details of the system - the need of the day was to get in there, get the shims in, and get out to the other code that mattered.

If I hadn't worked for more than a decade with C++ and already been reasonably fluent in template semantics, there's a good chance I might have introduced bugs as well.

I think the issue is that these feel like incredibly safe tools because all they do is generate text, but at the same time it can lead to bad hygiene.

I personally never use AI to write prose (I'll keep my voice and my quirks thanks). And for code, I utilize the system specifically as a fancy pattern extension system. Even in well-abstracted code, about 90% of the structure of it can be inferred from the other parts. I let the AI complete that for me with tab-completions and verify that each line is what I would have otherwise typed before moving on.

I'm not comfortable engaging at a deeper level with these tools yet.
I am the former. I also make cost benefit based decisions that involve time. Unless I have very specific configuration needs, the git push option lets me focus on what my users care about and gives me one less thing that I need to spend my time on.

Increasingly, Fly even lets you dip into most complex configurations too.

I’ve got no issue with using Tofu and Ansible to manage my own infrastructure but it takes time to get it right and it’s typically not worth the investment early on in the lifecycle.
Just thinking about it gives me very strong anxiety. I had to sit next to my daughter, she's sleeping and breathing.
Most normal people (not scientists or experts) who got invested enough have given up and see a not so slow approaching doom horizon, but keep a glimmer of hope deep inside, just in case.

I personally don't think climate change can be _reversed_ and also don't believe a significant effort will be done in that direction except if it somehow becomes a global strategic stake, like the race to build nuclear weapons or race to space. And no, I'm not holding my breath, which is a tough thing to explain to children.
> What do people find satisfying or like about it?

I ask myself the same thing about a lot of the various fidgety things like the spinners. Or the point of the games that are just nothing but how fast can you click like the paperclip games.

some people just like different things. even when you ask, they just say they like it. dopamine hits maybe? better that than dope then I guess
Javas focus has shifted multiple times through history and at least starting with it becoming generally available hasn't really been a single purpose thing, so I don't think this is really making any difference in the argument.

But I could have formulated some thing better:

> sand boxing being secondary

sand boxing for _security_ being secondary, for compatibility it was primary (e.g. like flatpack) and even if it wasn't what was seen as acceptable security for the 90th isn't anywhere close to it for today in most cases

Also "tight system integration" was in context of "highly sandboxes" things, which isn't necessary quite the same. E.g. in context of "highly sandboxes" things rusts standard library and support for C-API libraries is tightly system integrated. But if you speaking in a context of e.g. windows you need to add the official bindings to the various MS specific system libraries to count as "tightly integrated" and even then you could argue it's not quite there due to not having first class COM support.

Anyway I think the most important takeaway form Java sandbox security is "never run the code enforcing your sandbox as part of the inside of your sandbox" because a huge amount of security issues can be traced back to that (followed by the way Java applets have been embedded in the browser wrt. "privileged" applets being really really bad designed in a ton of ways).
Microsoft never said Win 10 would be the last release. That is an urban myth.

And the x years of support after the next Windows release is irrelevant. Their product support is more or less 10 years and that didn't change. People were skipping versions because they want to use their license as long as possible and they still do that with win 10.
Disclaimer, I did some contract work for Kanary, but their approach is much more transparent than most other alternatives. They recently launched an app that automates the process on your device locally, so you can see exactly what actions they’re taking on your behalf. Plus doing the opt outs locally helps with the captchas and other rate limiting measures these people search sites put up to block auto-removals.
People say time heals all wounds but sometimes there’s simply not enough time left to heal certain wounds.
A gag worthy of an upvote but I think that was the wrong conclusion to draw out of Horizon Worlds' lack of success.

The web was broadly successful as a communication medium because you could take some snaps and write some HTML and you have a web site for your business.

Horizon Worlds doesn't let you upload any snaps because: (1) the texture memory on the MQ is limited and you can only have so much photographic content and (2) they don't want to deal with the moderation problems of piracy, porn and all that. The authoring problem is really tough and there isn't anything for standalone VR that isn't a joke, VRChat comes the closest. Apple didn't even try.
Have ChatGPT always use search when you ask questions. I find referencing a version number and requiring search improves things dramatically. Improves does not fix.

v0 for vercel/nextjs

Try phind or other things more into looking stuff up.
Lol. Yes. I scoffed.
Sure, they know what they're doing and they're doing it on purpose.

If you rented out a room (or even a hotel room) to Eric Weiss (mitnicks alias, one of many), do you really want everyone here to see your full name and address?

Or if someone hacked some database of users and used your name/surname to socially engineer someone else.

or worse!
Hmm it still feels apt, reverse-engineering anything is effectively starting at the last page of the book.
I don't believe there is anything stopping someone from starting a managed Mastodon service.
If you install it 3 times then yeah, but even then, all 3 of them will still work.

But I could've sworn the python.org installer set the PATH. If not, that's kinda annoying.
iOS and MacOS started adding the stupid "smart" apostrophes by default for text input fields all over, including browsers, in some recent update.
This makes sense to me. When I optimize, the most significant gains I find are algorithmic. Whether it's an extra call, a data structure that needs to be tweaked, or just utilizing a library that operates closer to silicon. I rarely need to go to assembly or even a lower level language to get acceptable performance. The only exception is occasionally getting into architecture specifics of a GPU. At this point, optimizing compilers are excellent and probably have more architecture details baked into them than I will ever know. Thank you, compiler programmers!
The Most Powerful Feedback Is the One You Don't See
In the tech world, we get trained on how to give feedback — structured frameworks, courses on best practices. But what’s often missing in these discussions is a bigger question: What about the feedback we don’t realize we’re giving?

It’s not just about what we say — it’s about the environment we create. If a workplace lacks positive reinforcement, what kind of subconscious feedback loops does that create? Over time, it turns into conditioning — not just for individuals, but for entire teams and cultures.

Here’s the risk: Even silence is feedback.

If great work is consistently met with no reaction, what belief does that reinforce?

If risk-taking is subtly discouraged — not by explicit criticism, but by lack of recognition — what kind of long-term culture does that build?
What kind of models are you deploying and what type of problems are you having with deploying them?
While you're here...

https://github.com/zed-industries/zed/issues/14203

Would be a massive win that's fairly narrow in scope. More generally, being able to send arbitrary LSP commands to the server and see the response, even if it's just a text dump, would be super useful.

Love the project! I would say the only thing stopping me from moving over full time is a Git porcelain, but I'm sure you guys know that. Keep up the great work!
> This raises some serious questions: 1⃣ How bad is the drift in real-world applications?

Maybe ask yourself how applications that are serious about time deal with sync'ing remote sites. Follow that with how many real world internet applications need those levels of accuracy | correlation over distance.

Two examples at the higher end:

* Multiple Gravity sensors across the globe; these need to filter out passing trucks in some US state that don't also occur at the same time in Australia.

* Square Kilometre Array, with radio astronomy dishes and other sensors on opposite sides of the planet.

Both these projects have additional fun quirks; a signal travelling from (say) the heart of the milky way will encounter sensors on a rotating planet that is sometimes orbiting away from the signal and sometimes towards the signal, depending upon time of year.

Both the projects highlighted have been "in the works" since the 1980s. What are the timing requirements in these? What solutions are in play?
He isn't saying that, he's saying he does understand the paper and therefore the findings can be viewed with some suspicion. That is the nature of research, clear conclusions are rare because real data is messy.

> Every statistical model makes assumptions. As a general rule, the more mathematically complex the model, the fewer (or weaker) assumptions are made. That's what the complexity is for. So the criticism 'it looks complex, so the assumptions are probably weird' doesn't make sense.

This is an argument of the form [X -> Y. Y. Y has a purpose. Therefore not(Y->Z)]. It isn't valid; the fact that a criticism is general doesn't make it weaker (or stronger, for that matter). It is a bit like saying meat contains bacteria so someone can't complain that some meal gave them food poisoning. They can certainly complain about it and it is possible (indeed likely) that some meat is bad because of excessive bacteria.
>2012 - moores law basically ends - nand gates do t get smaller just more cleverly wrapped. Single threaded execution more or less stops at 2 GHz and has remained there.

In 2012, 22nm architectures were new (https://en.wikipedia.org/wiki/List_of_Intel_CPU_microarchite...). Now we have 3nm architectures (https://en.wikipedia.org/wiki/3_nm_process). In what sense have nand gates "not gotten smaller"?

My computer was initially built in 2014 and the CPU runs up to 3 GHz (and I don't think it was particularly new on the market). CPUs made today overclock to 5+ GHz. In what sense did "single threaded execution more or less stop at 2 GHz and remain there"?

We might not be seeing exponential increases in e.g. transistor count with the same doubling period as before, but there has demonstrably been considerable improvement to traditional CPUs in the last 12+ years.
To put that in context, when my grandparents were born, a typical family had around four children, and one in four children did not live to the age of five.

It is sort of crazy to think of what it would be like to grow up in that world.
It's very easy to understand once you invest a little bit of time.

That's assuming you have a solid foundation in the nuts and bolts of how computers work to begin with.

If you just jumped into software development without that background, well, you're going to end up in the latter pool of developers as described by the parent comment.
My thoughts were, what are the terms, are you training on our code, are we able to use completions to compete with you?
OP here, that is doable, let the AI select and wait for you to click delete. It is not that reliable now but since RL is cheap this day AI could be trained on actions.
>Members of the intelligence community would like to know the answer to these questions.

They might want to know, but asking might risk their job...
CERN, for managing highly-synchronized beam pulses applied km apart from each other: https://white-rabbit.web.cern.ch/
If we model the stock market as a random walk/Weiner process and I got the math right, I think you're almost certainly going to make money (if you stop when you reach a given profit threshold), but you will have arbitrarily large drawdowns. This is similar in terms of the risk/return profile to the martingale betting system. https://en.wikipedia.org/wiki/Martingale_(betting_system)
Going back to the top, you wrote:

> Essentially, their price is set at FMV at the time of issuance. Since your net is zero at the time of issuance, you pay no taxes until there is a liquidity event and you can pay to cover.

I do believe the broad outcome you experienced, including having an employer file an 83(b) for you, which is rare but possible. I don't believe "RSU's [...] structured as a pseudo-option" is an accurate description of the mechanics involved. At a minimum, it's underspecified, and could lead someone else reading this to make a bad financial assumption down the road.

> is your point that you know more about the topic than I do?

I don't know, was that your point when you wrote "I have four data points to your one"? My only point is that that particular argument isn't a sound basis for dismissing the feedback you're getting, whether from me or from the others who've responded.
How did you prompt the code generation? With natural language or by beginning to write the code yourself? If the former, that is exactly what I am praising.
Classic example of engineers and mathematicians overthinking something where a mover will just tell you to stand the sofa up on its side.
OP is also using em-dashes "—" without spaces, just like ChatGPT always does.