skysight-inc/HackerNews huggingface dataset:
For a company of Dropbox stature, "often" they target the people that get paid the most.

There are rationales behind it. The simplest one is that the product is matured enough so you don't need these so-called 10x engineers or seniors.

Then the lowest performers.
Discussion yesterday: (36 points, 3 comments) https://news.ycombinator.com/item?id=41988811

Related: Google CEO says more than a quarter of the company's new code is created by AI (299 points, 487 comments) https://news.ycombinator.com/item?id=41991291
Totally reasonable. I do think the price is fair- I've been using Monokai Pro for years. It feels like home.

Compare that to say... going out for two drinks anywhere in North America. Or trying to buy popcorn at the movie theatre.
Yeah, having written that I was thinking about this as well. There's a lot of unpaid labor involved in that model. Maybe, between rootkits and that kind of exploitation of humans, rootkits are the less unjust option.
~$12B in investment plus ~$30B in lifetime revenue of which $15B is from the US government. Mars is not cheap.
I was 9. I'll never forget it. Taught myself programming that year entirely from library books.
This is a report of the current situation in Gaza and the West Bank and the alleged systematic destruction of infrastructure, mass displacement, and targeting of civilians, particularly children.
Talking points only go so far in conversation or argument. Hell, even in a presentation or speech.
Not really. Intel CPU performance hasn't changed by orders of magnitude in the last ten years. My ten year old Windoze 10 desktop keeps chugging along fine. My newer 2022 i7 Windows machine works similarly well.

However, attention to keeping Intel Macs performant has taken a dive. My 2019 16" MBP died last week so I fell back to my standby 2014 MBP and it's much more responsive. No login jank pause .
But it also hasn't been eligible for OS updates for 2 or 3 years.

My new M3 MBP is "screaming fast" with Apple's latest patched OS.

My god, it's ridiculous. I really prefer Linux desktops. They've been snappy for the past 30 years, and don't typically get slow UI's after a year or two of updates.
The issue with this, in my experience, is that at some point that pro (exactly, and literally, only one copy of a specific bit of data despite many apparent copies) can become a con if there is some data corruption somewhere.

Sometimes it can be a similar issue in some edge cases performance wise, but usually caching can address those problems.

Efficiency being the enemy of reliability, sometimes.
One of the reasons I run a PS5 instead.

AFAIK, there's fewer cheaters on PlayStation current-gen than on PC, and I don't have to worry about anti-cheat kludges corrupting my "rig".
This is a great anecdote. SOTA models will not provide “engineering” per se, but they will easily double productivity of a product manager that is exploring new product ideas or technologies. They are much more than intelligent auto-complete. I have done more with side projects in the last year than I did in the preceding decade.
If I did this, I would have enough parts left over to make two more cameras.

The path of mechanical to electro-mechanical to electronic to digital, is just amazing. This generation of tech sits at the amazingly complicated half way point just before motorised lenses which added enough moving parts to make another 3 cameras if you left all the bits out you don't understand.

I have a bit of crap on a lens of a sony digital sub-miniature I'd love to clean up but I am not going to even think about opening it, lest I let the magic smoke out.

as one youtube comment said: Came for the teardown, subscribed for the comedy.
Basically any S&P 500 index fund [1] averages over 8% return over the trailing 15 years, even inflation adjusted [2].

Using [3] October 2009 to present gives an annualized return of 13.763% and going back 20 years to include the great recession returns 12.06%.

Post-tax current-day value scenarios:

Starting in 2004 (20Y):

$500.00/mo: $418,349.29
$2,500.00/mo: $2,091,746.42

Starting in 2009 (15Y):

$500.00/mo: $252,413.58
$2,500.00/mo: $1,262,067.88

[1]: https://www.financecharts.com/etfs/SPY/performance/total-ret...

[2]: https://dqydj.com/sp-500-return-calculator/

[3]: https://dqydj.com/sp-500-periodic-reinvestment-calculator-di...
There was a since fixed bug in a prior MacOS release that did fail to launch an app on the local machine if the CRL data was unreachable.
That gravity is curvature of spacetime is one view of two equivalent views, but it is the standard view. The other view is that you have flat spacetime with different distortions (of things other than spacetime) than the distortions you get in curved spacetime. The Schwarzschild metric essentially lets you do exactly that projection of curved spacetime to flat, and vice-versa. When you watch an animation like https://www.youtube.com/watch?v=hF7zltx7Ecc or https://www.youtube.com/watch?v=E1mD4C7dBKc you're watching a flat spacetime representation of GR's effects, and the reason for using flat spacetime in these representations is <drum-roll/> that that is what us humans understand.

So if you take the gravity curves spacetime view, then gravity is not a force and all that. But if you take the alternative view then gravity is a force. Now, I'll leave what the distortions are that gravity produces in flat spacetime for another time, or for the reader. But I'll say this: this view is both controversial (perhaps replies will show this) and not (see above -and many other- animations).
Are you certain that memo was making an argument that "women lack innate aptitude compared to men"? It's been a while since I read it, but it seemed to me that it was arguing that differences in gender representation may be mostly attributable to differences in the degree to which men and women were attracted to high-pressure jobs at Google, rather than because of discrimination in hiring or promotions, and that the gap would be better addressed by making those jobs intrinsically more attractive to women, rather than by hiring quotas.
Correct except that massive scale doesn't work cause it just uses up exponentially more power/space/resources.

They also have a very limited use case... if things ever shift away from LLM's and into another form of engineering that their hardware does not support, what are they going to do? Just keep deploying hardware?

Slippery slope.
Apple updates their microarchitecture with each bump.
I remember these! The best feature is that they were recordable with the teacher's machine, so you could use them for any kind of text or graphic on the card with a Sharpie, and any audio on the mag stripe.
Are you really comparing typing a dozen characters into a browser's URL bar and hitting Enter with "stop war"?

Using a different search engine, is just about the easiest kind of switch you could do. It's easier than, say, eating a different type of snack than you usually eat, or switching out your usual mug/plate/utensil.
> the lack of deviations from it makes it hard for experiments to point in a useful direction for better theories to be developed along.

We have anomalies (deviations from standard model) in many measurements done by several experiments. This is a good summary [1] from them up until now (sorry for the pay-walled)

[1] https://www.nature.com/articles/s42254-024-00703-6
And yet the tiny requests for improvement I and 1 million other people laboriously gave google sit on the shelf, because there's no money in adding boolean term processing to search, when half-assed models they implemented 20 years ago work just fine, mostly, ok not always but meh.
yeh, but the main problem is the quality. with algorithm bug can be fixed. with llm it's more complicated. in practice they do some mistakes consistently, and in some cases cannot recover even with assistance. (don't take me wrong, I'm very happy with the results most of the time)
It’s only a ‘disaster’ if you are using it exclusively programmatically and want to do special tuning.

File systems are pretty good if you have a mix of human and programmatic uses, especially when the programmatic cases are not very heavy duty.

The programmatic scenarios are often entirely human hostile, if you try to imagine what would be involved in actually using them. Like direct S3 access, for example.
i see you dont recognize advanced dystopian sarcasm ;-)
What would the shrine be of? An A100?
Yes field lines are just an indicator of where the field is - a bit like how maps have contours showing height above sea level; those contours aren't physical things but they describe the physical environment in a schematic way.
I work on building "AI" systems daily and a large part of it is assembling and managing large prompts.

I have no idea what this does. I think maybe if the examples included the output then it might be helpful?

$`Analyze ${env.files} and report errors. Use gitmojis.`

If we knew what env.files is and what it output it would help. Does it doing some magic that looks in the file system for the files listed as env.files, combines them and passes them to the LLM? Or does the LLM write code to get the files? Or something else.

What does "Analyze" mean? I assume because of the mention of gitmojis they are code files, but maybe that assumption is wrong and it is expecting spreadsheets and can find errors in formulas? I don't know..

Edit: https://microsoft.github.io/genaiscript/blog/automatic-web-p... isn't perfect but a little bit more useful.
TIL that Freeman Dyson looks like a house elf!
>Without full documentation of compliance measures, enforcement measures, and punishments imposed, violations of the rule cannot involve law enforcement who are restricted to acting on searches with warrants.

That's not the only way police get information...
Scroll down a little further on your link for confirmation of what the parent said:

> As was well-documented over the weekend, trustd employs a “fail-soft” call to Apple’s OCSP service: If the service is unavailable or the device itself is offline, trustd (to put it simply) goes ahead and “trusts” the app.

Even at the time people quickly figured out you could just disconnect from the internet as a workaround until the issue was fixed.
When this comes up in NASA people point out you can't sell one of anything, you sell a supply chain, compliance, OH&S testing, documentation, poisons review, and a complete spec of the design of the moulds.

Because in 25 years time when somebody dies from a greeblie which grew in the nozzle of the soap dispenser, the DoD is not carrying the can, if they can prove the supplier did not a) test it for greeble growing and b) did not meet spec for said anti-greeble-growing protective features as may have been implied in the contract of terms.

You pay for the compliance to spec. If you want cheap, get some duck tape and tape a soap dispenser you bought at CVS to the mirror.

A book on the history of plastics talks about the first order for plastic bugles, and plastic sergeants whistles they made in world war 2: the savings in brass were significant at the scale of bugles and whistles bought for a 2 front war in Europe and Japan. The testing meant getting a master bugler and drill sergeant, to stand in the parade ground and do their thing, with a supervising officer confirming they made spec. But, they kept a brass-gold filigree wire, for the handle of the ceremonial sword, although they replaced the shagreen (shark skin leather) with pleather. You can't cheapen everything.
You know, getting upset about being called an AI bro rings a lot more hollow if you go around calling people NPCs.
> Cerebras and Groq provide the fastest (by an order of magnitude) inference.

Only on smaller models, their numbers are all 70b in the article.

Those numbers also need to be adjusted for the comparable amounts of capex+opex costs. If the costs are so high that they have to subsidize the usage/results, then they are just going to run out of money, fast.
Presumably someone will notice the bug in both of these scenarios at some point and it will no longer be treated as safe.
Probably not? I can't really tell a difference between the M1, M2, and M3 machines I've had.

There are some spec upgrades for peripherals connectivity, though (Thunderbolt, Wifi, external monitors), if that matters to you. And the M4 Macbook Pro finally has that etched anti-glare screen if you ever want to use it outdoors.

Otherwise, the M1 is still a very capable machine and miles better than the PC laptops we all grew up with. Does anything in your day to day work actually feel slow? If so, maybe you can benchmark it and see if the upgrade would actually help much. If it's single-threaded work, especially, there may not be a big upgrade. If your workload is heavily multi-threaded or GPU heavy and you're on the base M1, the M4 Pro or Max could be a big upgrade, but most coding work probably isn't.
Custom Resource Definitions (CRDs) and Extending Kubernetes
How is Dropbox's poor performance tied specifically to a poor executive team? The end of ZIRP and a bad core product are likely more to blame. This was likely the end of dropbox no matter what the execs did.

Also, can you explain the layoffs at Google this way? The layoffs at Meta? Microsoft? TikTok? Are all of these the result of underperforming executive teams? Are they even related at all to business trouble?

Or is it perhaps something closer to what I am suggesting?

Layoffs happen in waves at these companies. It really has nothing to do with performance. They do it every time they can, and the best explanation for that is that they are trimming the fat. Companies all say "we hit hard times" when they do this, but most of them really didn't. The issues with Dropbox's core business have likely been foreseen for 5-10 years.
I Work in Data Security. Is It a Problem That My Boss Believes in Lizard People?
Why is it Google's job, who TFA isn't paying AFAIK, to get traffic to visit their site?
It must be, because I know the pans were seasoned in all cases.
https://archive.ph/2BMMj
React Native Godot
> Also many players don't need to cheat all the time; just in that critical moment when it really matters. Didn't Magnus Carlsen say he only needs a single move from a chess computer in the right moment to be virtually guaranteed win? Something like that probably applies to a many people and fields. This is even harder to detect with just statistics.

The difference is that IRL chess and a typical FPS game have very different availability of datasets. IRL chess has both fewer moves per game, and fewer games played in short succession than typical FPS games. Also, with FPS games there is a single metric to evaluate -- the shot landed or missed -- compared with chess where moves are ranked on a scale.

So I'd argue that it would be much easier to do a statistical model to predict a cheating aimbot than it would a cheating IRL chess player. I don't believe Magnus's proposition holds for prolific online chess players when they do dozens or more blitz/bullet games in a single day.
Maybe all particles are twists in spacetime.
If you are doing this, I suggest giving the Perplexity app a try. It's very fast, convenient, and accurate. It was Perplexity, and not ChatGPT that reduced my Google usage.
Ah you're right, it was only the keyboard and battery they fixed.

It's been too long, I guess I had blocked out just just how terrible those Intel MacBooks were.
So more or less on par with continue.dev using a local starcoder2:3b model
https://www.opensecrets.org/members-of-congress/ritchie-torr...

Why isn’t AIPAC registered as a foreign agent? Torres is pushing Israeli interests that provide no benefit to Americans, and are likely harmful to the average American.

We bemoan Russian influence on our politics yet bend over backward to allow Israeli.
I've been invited so two similar events over the past couple decades and one company I worked for had standing weekly meetings with Google. All I can say is my experience is pretty much they same, they lure you in wanting info and to help you, but don't give any answers and just keep wanting more info. In the end they didn't unblock us and in my opinion built a lot of what we shared into their systems. It was a knowledge theft exercise in my opinion, was NOT in any way meant to help anyone but Google.
Oh sort of. That is for sure a thing, but not THE thing.

I would argue people are being tugged in that direction more than it being simply better.

You can bet when people start to get to work building things --all sorts of things, not just software, they find out pretty quickly just how important a simple desktop running on a general purpose computer really is!
GPUs are all about (compute & memory) bandwidth. Using the same building blocks of compute units doesn't yet it go fast. You need a lot of compute units and a lot of bandwidth to feed them.

The performance dependency on DGPUs doesn't come from the existance of a PCIe bus and partitioned memory, but from the fact that the software running on the DGPU is written for a system with high bandwidth memory like GDDR6X or HBM. It creates opportunities for optimization the same way as hardware properties and machine balances tend to, the software gets written, benchmarked and optimized against hardware with certain kinds of performance properties and constraints (like here compute/bandwidth balance and memory capacity, and whether CPU & GPU have shared memory).
If OpenAI wants fairer headlines they should use a less stupid version naming convention.
>I wish I could get access to the "App'x 29" being referenced so that I could better understand the judges' understanding here. I assume this is Federal Appendix 29 (in which case a more thorough reference would've been appreciated). If the Appeals Court is going to cite the Federal Appendix in a decision like this and in this manner, then the Federal Appendix is as good as case law and West Publishing's copyright claims should be ripped away. Either the Federal Appendix should not be cited in Appeals Court and Supreme Court opinions, or the Federal Appenix is part of the law and belongs to the people. There is no middle there.

Just go to a law library.

Do you know that judges routinely make decisions based on confidential documents not in the public record? Is that also bad?
> I said it because I think other kernel level anticheat don't do it.

It is done by FACEIT and ESEA.

> If I remember correctly I can just enable/disable the easy anticheat service, sane with the EA thing, I don't need to reboot the machine like with Vanguard.

You can disable Vanguard as well, you'll only need to re-enable it and restart if you want to play the games.
It looks like you are mad about python2->python3 transition? Yeah, this was pretty messed up, and the new I/O encoding is pretty broken. Why would you design a system which cannot print every filenames to screen? But I suspect the reason was that designers of that never actually worked on systems with multiple encodings, and so were not aware that people actually _do_ redirect output to files and/or pipe to iconv.

But other than that botched transition, Python is very stable. My Python photo downloader from 2004 did not need any changes throughout python 2 lifetime and still works today (using 2.7 interpreter). The oldest python3 script I've found is from 2019, and it still works just fine without any changes.
in fact the standing weekly meetings were cancelled after we got to the point where the entire half hour was consumed with going over all the AIs their end had they we were still waiting for answers on. Since we never got any, we cancelled the meetings as wasteful.
you were spot on.
Its amazing how they didn't views it as men intentionally avoiding women and point it out as dating apps being inefficient and too profit oriented. Really amazing.
My wife and I met through a dating app.

Since 2000 the percentage of US couples who met online has grown from 10% to >50%. In that time, the divorce rate has shrunk from 4% to 2.5%.

There's a lot of complaining about dating apps. When offline dating was the norm people complained about it endlessly as well. Offline dating also produced an enormous number of unhappy couples. The online dating experience has its own set of frustrations and poor outcomes - many of which don't occur offline - but people continue to choose it over offline alternatives. I've been reading articles like this one for years. They haven't stopped the percentage of couples who met online from increasing.

People tend to aim their complaints about online dating at companies like Match Group. When they complain about offline dating, though, those complaints can only be directed at the culture - there is no corporate entity who is responsible for making approaching strangers at a bar intimidating and potentially humiliating.

> In Tokyo, the city government is even releasing its own dating app, part of a campaign called Tokyo Futari Story ("futari" means couple). The service, which the city has budgeted several million dollars to develop and promote, will require users to verify their income, prove they're unmarried, sit for an interview with the app's staff, and sign a statement saying they're intent on getting married.

The last sentence is the critical one. Matchmakers who vet their clients intent tend to have much higher success rates than those who let anyone participate. A city government can also enact consequences on liars in ways that private companies cannot. We'll see how Tokyo's experiment plays out.
I just transitioned my home and homelab PCs to nixos+anywhere+flakes and I can't imagine going back to ansible or puppet or even docker compose.

you know that it won't drift. you can generate images from the same config you apply to a host. you can stamp out the same config across N hosts. you can completely reconfigure a host without reprovisioning it from scratch. you can run slim VMs by mounting the nix store as read only.

it would be great to run an entire company off nixos this way
It’s definitely not a parody.

https://en.m.wikipedia.org/wiki/BRICS_PAY

It seems to be (or proposes to be, I can’t figure out if it really exists yet) based on “distributed ledgers” and “blockchain” so I’m pretty skeptical. But hey, maybe they’ll be the ones to develop the first non-pointless blockchain!
I'm aware of advanced search. I'd like it to be more user friendly and widely used. I think a chat bot would help.
It is by will alone that I set my mind in motion.

It is by the juice of Sapho that thoughts acquire speed, the lips become stained, the stains become a warning...
THIS!

Back when I was new to all of this, the idea of people evaluating their computing environment seemed crazy!

Who does that?

Almost nobody by percentage, but making sure any of us CAN is where the real value is.
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open model, not open-source model
I am not used to be around the kitchen but I actually did an omelette two days ago with a cast iron. I was worried it would stick. I used a small amount of oil and pre heated the pan at high temperature. After putting the eggs I lowered the heat to medium low. The idea is to have a thermal shock on the outside of the egg so that it solidifies. And then cook it at lower temperature. It worked wonders.