skysight-inc/HackerNews huggingface dataset:
> If we could reduce any of it for the same performance we would.

Nope, because all of them are harder than just going bigger.

> Top model performance is an arms race and it's happening at every expense.

This is also what I said. "Growth (in model performance) is king, so quick and dirty (going bigger) beating harder optimization efforts".

> This is very different than a program that... [Snipped for brevity]

Again this is what I said by "it keeps development momentum". Yes people have different priorities. Mostly money and fame in this point.

So, we don't disagree a bit.
> despite having lived to see the death of string theory

Is it in fact dead?
Astronomical Discoveries of All Time
To the curious: true Drag and Drop using QML (work in progress): https://i.imgur.com/5cTvTho.gif

P.S. It looks slow because it's a GIF, but it's actually very smooth.
Most do. Where i work has me on 5s right now just due to what works for me. I do 3/2 split RTO. But a lot of my team are 2/2 in office WFH.
> I do hear about many people trying to treat their psoriasis wit vitamin D, but not about many success stories.

It seems to my non-expert opinion that it's a piece of the puzzle, but there's a lot more other pieces. It seems to be often linked with selenium deficiency and I've read one case of a really bad erythrodermic patient that was treated with calcium.
Agree. But computers are applied math. So it stands to reason that neutral networks require a strict definition
Note, for those thinking I'm foolish. This an example of the last decades. Amazon Tribes are forced to now use rainwater tanks with "taps"; since the Oil companies came decades ago the water in stream & rivers are not drinkable anymore.

https://www.theguardian.com/global-development/2020/feb/28/a...

So that's what I mean with a re-invention, tap-water is mostly needed due to human caused pollution.

Now were there pathogen in the rivers, for sure, did they get sick sometimes, most likely. Did it cause higher child mortality, I haven't been able to find data for or against that. But overall they were fine & it's up for debate whether those being exposed to small amounts of pathogens were a win or lose in the long run (some theories suggest our lack of pathogens are connected to auto-immune diseases & allergies)

Also our cities of course bring a lot of sewage issues causing another issue with water streams.
So my family immigrated to this country from a previous British colony. There are two options in life (1) dwelling on all the past mistakes, injustices, and grievances or (2) living your life (which only goes on for a limited amount of time) here on earth. I choose (2). People have way too much time to dwell on things that don't matter. This is 2024 in the United States. No one is wiping out anyone.
Fujitsu says it found malware on its network, warns of possible data breach
Drinking-bird-enabled triboelectric hydrovoltaic generator
the guy is nuts
Misplaced empathy causes great harm
Self-host a robust feature flag tool for your team for just $5
If you start a non with the same weight and do the same gradients, it’ll “learn” the same things.

The “emergent” properties are going to be impacted by randomness of your starting point as well as ordering of your training.
> This is something that doesn’t really happen in other software ecosystems.

Author has clearly never met an iOS developer
Harbinger delivers first customer electric truck chassis to RV maker Thor
This is part 2 of https://news.ycombinator.com/item?id=39696423
Yes that is the key contention. I don't think that our minds are material, because if they were then we couldn't handle any immaterial concepts. Although obviously our brains are involved in the operation of the mind, they cannot be an exhaustive explanation of what the mind is, given that he mind is perfectly comfortable to leave the material world behind.
my own machine with rotors and some proper test vectors https://gist.github.com/williame/94beef4b9afea659864950c29d4...

I also had a fast version in c++ that could trivially brute force messages with an index of coincidence kind of attack, but can't find that code after a quick search of github :(
Well, I'm using the standard Android webview that's based on Chrome
For those in the US trying to do retirement planning I highly recommend trying: https://projectionlab.com/

I first saw it shared on HN and I've been a happy customer for the past year and the ability to compare the impact of different scenarios has helped me make a few big financial decisions. Good community around it for asking questions too.
700 million people live on <2.15$/day people [1]. You can solve a lot of captchas in a day, probably not 1000 though. How does this work?

[1] https://www.worldbank.org/en/topic/poverty/overview
I was thinking of this as soon as I read the OP

mature and works well
Titanfall 2's single player campaign is one of the greatest experiences I've had.
I guess some might say that tools like this shouldn’t have built-in recursive mode (or am I making this up) since you can use xargs(1). But in my experience that is very painful for an interactive tool.

For some reason I haven’t tried ripgrep yet but I do use `git grep` a lot (which also lets you recurse). git-grep will also let you use “pathspecs” which is a kind of built-in functionality for things like globbing.
Alteryx Acquired by Clearlake Capital
Clearlake Capital Group, L.P. ("Clearlake") and Insight Partners L.P. ("Insight") today announced that their affiliated funds have completed the acquisition of Alteryx, Inc., a leader in artificial intelligence (AI) for enterprise analytics. The transaction was previously announced on December 18, 2023 and approved by Alteryx stockholders on March 13, 2024
My guess is that by having AWS build it, they have a deal to then allow it to be used in the spot market when idle, something they wouldn’t be able to do if they ran the platform.

Spot usage could make a decent profit in addition to training anything they want.
It's true that nobody has beaten nVidia yet, and that is a valid data point I don't deny.

But (as a reply to some other repliers as well), AMD was also chasing them on the entire graphics stack as well as compute. That is trying to cross the moat. Even reimplementing CUDA as a whole is trying to cross a moat, even a smaller one.

But just implementing a chip that does AI, as it stands today, full stop, seems like it would be a lot easier. There's a lot of people doing it and I can't imagine they're all going to fail. I would consider by far the more likely scenario to be that the AI research community finds something other than neural nets to run on and thus the latest hotness becomes something other than a neural net and the chips become much less relevant or irrelevant.

And with the valuation of nVidia basically being based not on their graphics, or CUDA, but specifically just on this one feeding frenzy of LLM-based AI, it seems to me there's a lot of people with the motivation to produce a chip that can do this.
>Artemus 3 is scheduled for September 2026, that can clearly slip but a 2.5 year deadline suggests it is unlikely to slip that far or get canceled.

Artemis has failed to meet a single deadline since its inception, and has cost more than all public and private investment into SpaceX for the last 20 years combined. We are paying more for a single (disposable) SLS engine than the cost of an entire Falcon 9 launch. The whole thing is a farce.
Ask friends or strangers online to interview you and give feedback. I do this a lot with my team and do mock interviews. I want my team to promote and make more money.
Maybe you can ask your boss for a mock interview and show them a position you are interested in. Lot's of resources to leverage. Hell I bet a lot of people here would help you out.

My piece of advice is to remember your star format, and if you don't know exactly how to do something. Tell them, and then walk them through how you would do it based on what you know. tldr; throw a hashmap at it.
You can write poorly optimized C#.

And the intel C++ compiler has provided significant performance for decades via optimization without needing to optimize by hand.
Distributed coroutines are a perfect fit for Python! We're excited to explain how they work and what you can do with them!

Also happy to answer any questions :)
It broke for me too, but after a few tweaks to the settings and staying on top of all the bug fixes, is back to usable! I'm in a very similar position, being somewhat unwilling Arch user that accidentally upgraded early, and was prepared to suffer (or even switch distros), but it only took a day or two for my issues to be resolved. Try switching back!
Nvidia Has Global Dominance in Its Sights, Why It's the New Apple
What do you mean? If you need an upgrade from the default DI, then YOU should ask yourself why do you think you need it, gather requirements, identify what is missing from the existing solution, and chose one of the many DI container based on your needs and findings. And most of those containers can be used with MS existing DI pipelines.
Maybe. Patents are certainly a question, because of the license. Microsoft has definitely been aggressive about patents.
Brilliant, I laughed out loud
I refer you to the pirates/average global temperature graph.
So these cards are geared towards inference ? There's a register article showing amds new instinct accelerators have much better.FP64
actually, KING - MAN is a neuter ruler. You need to add WOMAN to that vector to get QUEEN.

Sometimes. If the embeddings were trained well.
Artemis has a higher risk of being cancelled or fundamentally restructured than delays.
Save some blackpill for the rest of us. I've hired people who i don't like personally, but they were a great fit for the role.
Golang Integration testing using testscript
This look so refreshing OP!
Will try to make some changes and have fun!
> It makes themselves feel like they have done good

because "they" (assuming you mean the opportunity provider) have done good. It's not an optimal good or even a baseline for what is considered a good lifestyle, but it gives a family a better option. Sweatshop work isn't a great option, but I would say it's objectively a better option than starving to death.

Just because something doesn't meet the baseline definition for a good lifestyle doesn't mean it's not an improvement upon the reality they live in (and thus good).

> and as for the increased harm

I think I'm misunderstanding you, but are you suggesting a kid working in the worst sweatshop is being harmed more than if they were to starve to death? Even if you find this to be true, it's self-evident the families sending their children to work in that sweatshop believe the sweatshop is an improvement on their life.
Just because you're squeezing out every bit of performance from a processor doesn't mean all the work you're doing is meaningful or can't be optimized.

I work on material simulations. I make processors hit their TDPs, saturate their pipelines and make them go as fast as they can. However, sometimes we come up with a formula optimization which does things 1-2% faster, which means we can save hours on a bigger computation. Utilization doesn't change, but speed does.

> I think it is more of an information problem.

It's an interesting point of view, and partially true. However, we're still wasting "space" by just adding bits to the network to make it contain more data.

There's a long way to go. "Wasteful development" is a phase and always be part of software development. The important part is not forgetting that optimization exists. Otherwise we can't sustain ourselves much with all that energy use.
Does SPARC count as being in production anymore?
I'm barely even exaggerating. There's literally 5 within walking distance.
I had the exact same reaction.

Some cursory searching shows that it's being pitched for things like patient engagement to improve patient satisfaction, as well as reducing staff burnout.
An ongoing major incident is already stressful enough for everyone involved, and looky-loos don't help that at all. Nobody does a better job of debugging for having to fight a helmet fire at the same time, and one of the IC role's responsibilities is to proactively minimize that risk as far as possible.

It does depend somewhat on the situation and the organization, and on the role; IC engineers observing for familiarization is fine, VPs joining never is. My approach is that the incident call is for those actively involved in the investigation or who have been invited to join by those who are, including engineering ICs who wish to observe for familiarization. Meanwhile, stakeholders not directly participating in response receive updates from the incident commander via a separate (usually Slack) channel. Managing that communication is also part of the IC role, whether directly or by delegation.
Because it's not the language that matters here, the performance comes from the architecture of the storage among other things.

I've seen Go code best Rust one, really when comparing languages you should look at the same implementation, if the design is completely different its not really comparable.
GStreamer 1.24: New heights in embedded, network streaming and analytics
The latest on the GStreamer 1.24 release.
This is also why in my custom cache I back it with sqlite – much easier to delete one db file than thousands of pickle files.
>> > believe that modern NN are trained by gradient descent

>> Are they not?

While technically true, that answer offers almost zero insight into how they work. Maybe another way to say it is that during inference there is no gradient descent happening - the network is already trained. Ignoring that gradient descent might be an overgeneralization of the training process, it tells you nothing about how ChatGPT plays chess or carries a conversation.

Telling someone what methodology was used to create a thing says nothing about how it works. Just like saying our own brain is "a product of evolution" doesn't tell how it works. Nor does "you are a product of your own life experience" put psychologists out of business. "It's just gradient descent" is a great way to trivialize something that nobody really seems to understand yet.
Why on earth is there a dancing jar of marmite taking up the bottom right sixth of the screen, and how do I get rid of it?

I'm interested in what aging means here. Presumably it is different to just 'having it in a jar in the cupboard' because then all jars are aged in the supermarket for a few weeks or more. Looks like I've got my afternoon wikipedia rabbit hole sorted.
Except companies that produce apps and games for small kids. They would go out of their way to support old devices released more than 10 years ago because their customers (small kids) mostly use devices handed down from their parents.
>what is the difference between understanding and pretending to understand really, really well?

Predicting the outcome of an experiment. A person/thing who understands something, can predict outcomes to a degree. A person pretending to understand cannot predict with any degree of reliability.
That sounds ideal, but hard to control ultimately. Pay and opportunities for growth are typically going to be constrained at most places long term.

It seems like it's worth identifying weak spots in your codebases where higher complexity is lying, you have sole contributors on your team, or buggy areas. Armed with the information, you can plan ahead for them. Would refactoring into a different design better manage the complexity? Can we get more team members involved in changes to parts of a system we don't have familiarity with, for redundancy? Why are we fielding so many bugs in this functionality and how do we mitigate it?
Absolutely. It is really weird that they wouldn't have required some kind of quality control for domains sending out more than 5k emails per day.

If it looks like spam, walks like spam, talks like spam, nah we shouldn't require stricter DNS authentication requirements. (My best Google impersonation)
Love VSCode

Hate Microsoft

such is life
AFAIK part of the problem is that the experiments needed to provide evidence for these theories either require insane energies, particle accelerators the size of Earth's circumference or even larger, or convenient access to a black hole.

This seems like a fundamental problem. If data is out of reach, we're left with nothing but noodling around with mathematics and simulation.
What does this mean for the value of the yen in the near future?
I think one difference is in how humans learn vs. how AI learns. A human could hear a very small amount of music and start mimicking it. AI -- at least in its present state -- needs to be trained on a huge quantity of music to start doing anything productive. What that difference means, exactly, is debatable, but it's a difference, and, I believe, one that begs deeper contemplation of laws surrounding AI use of copyrighted materials.

Another difference is one of scale. We've seen this in other areas, like surveillance. A random security camera here and there, or a random street photographer here and there, most people didn't really find objectionable. Besides which, any captured photographs or video had to be manually inspected for persons of interest. But start surveilling everyone in public, all the time, and using technology to track everyone automatically, and it starts to seem like a different construct.

A human producer putting out material that another human learns from, quotes from, paraphrases from, builds new things based on... well, that still requires time and dedication on the part of the learner. And there will be a correspondingly limited amount of new derivative material based on what the "teacher" producer created. AI systems offer the possibility for effectively unlimited derivative material, produced at an unprecedented rate.

Existing copyright laws, and existing social norms around creation of "intellectual property", have been formed with humans in mind. Humans who operate at a human rate of production, and who learn with a human style of learning. Some maybe be more efficient than others, but not so drastically different in form as AI.
I've been with AT&T since they merged with Cingular in 2004-2006 or so, and according to https://haveibeenpwned.com/ I'm not included in this dump. However I didn't split my account from my parents until 2021 or so, so I'm not sure if I would have been or not if this was from before then.

Edit: My parents' email addresses aren't showing this dump either. Looks like we weren't included at all, so it can't just straight be all AT&T customers.
Lack of empathy altogether causes worse harm, oh father of a child with an unpronounceable name and version number.
Avoid using clickbaity YT videos as source, they are entertainment and not reliable.
"A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up that is familiar with it" - Max Planck
> If he loses 99% of that

He also made ~99% of his wealth after age 56.
>This is a different economy, with its own legislative framework and where the people speak a language that is not English. But the frame is that they are basically a clone of the US and a policy change in Japan is equivalent to the policy change that sounds the most similar in the US.

Japan is practically the 51st state in the union, geopolitically speaking.
Timing and location of speech errors induced by direct cortical stimulation
And that requires a powerful GPU? I thought a much much simpler 2D accelerator in the style of the S3 911 of yesteryear would be enough.
> good for the vast majority of investors precisely because they can't afford to lose all of it

No, no, no and NO.

The old adage "do not invest more than you can afford to loose" exists for a reason.

If you cannot afford to lose it, you do not invest it, full stop, no argument.

You put the stuff you cannot afford to loose in a bank account, preferably more than one bank account with completely different companies.

You absolutely cannot and should not rely on your investments, whether in passive indexes or active investments.

Index funds can go down a lot, VERY QUICKLY and take a long time to come back, just look at the charts ! It can take a year or more for a big drop to return to a previous value. That's not a comfortable position to be if you can't afford to loose a large chunk of your money overnight.

Also, remember that index funds, even the passive ETF ones, are a structured product. Even a passive ETF could be temporarily gated due to liquidity constraints, unlikely maybe, but it could if the circumstances were right. And even if they don't gate in such circumstances, you could expect the tracking error to widen and hence further reducing the amount of money you get back from a sale in such circumstances.
There were once 24 of them, and by definition they were old enough to be astronauts 52 years ago. [0] suggests that for a 36 year old now the median age of death is 76; I don't see a spread but it shouldn't be surprising to see 1/3 outlast that by 12 years.

[0] https://www.ssa.gov/oact/STATS/table4c6.html
no homophones. whine shares a phonemic address with wine, while whinge staked out a plot of its very own, even if its just a slapdash pop-up tent next door to the local drunkard, binge. hinge shares a smartly bricked-up border with both.
Ever since updating last week, one of my two monitors (connected through a CalDigit USB-C dock) won't turn back on after inactivity.

I have to open up System Settings, change the resolution for the monitor, and change it back every time I leave my macbook and come back.
Nice piece, and his comment on typst is spot on. I would love for typst to displace LaTex, I hate LaTex and use it every day, and deep inside know it will never go away, unless a much better programmer than I writes a LaTex -> typst converter that covers all the corner cases. One can always hope.
It's 10x the salary you need for the lifestyle you want to maintain.
Since there's no required data custody trail (hint, hint: should be required in privacy legislation!), we'll never know.

But I expect the simplest explanation is, as the article posits:

1) ATT contracts out portions of its business operations to third parties.

2. Those third parties, in the course of their business, require and have access to customer information.

3 - One of those third parties was breached.

#4 ATT may or may not know. (Or may deliberately be not-asking their contractor)

Presto! Security by ignorance!

Given the access to SSNs, I'd assume something to do with private credit scoring.
Exactly! There's always misunderstanding about Qt's license that I believe they should make the LGPL license clearer on their website. I believe many developers are struck down because they think it's not permissive enough where actually it's quite permissive.
Garnet – A high-performance cache-store from Microsoft Research
Then likely your account info is exposed. I know a couple of former AT&T U-verse subscribers (not current) who's account info including SSN have been exposed
But if we did that financial executives won't be able to afford that 5th vacation home! I'll stay here in the muck with my stolen identity incurred debt thank you very much. One day I'll tug these bootstraps hard enough.
Pgvector vs. Pgvecto.rs: A Comparison for Vector Search in PostgreSQL
The springs become pretty safe when contained with a simple cable down the middle right?
The moves pricing that in already happened.
A buyback and a dividend are closer in effect than many people think. Both are returns to shareholders, while the second allows shareholders more control over the timing of their tax exposure.

Yet people seem to complain loudly about buybacks while treating dividends as "yeah, of course companies have to provide financial returns to shareholders... Otherwise, there would be no shareholders."

Long-term shareholders would prefer to optimize for, well, the long-term. Short-term shareholders flip that. Most companies have a mix of both.