skysight-inc/HackerNews huggingface dataset:
Justice isn't served if the impact of the penalty doesn't force change. If a company can harm millions of people but the financial damages we can assign to that are lower than the cost savings of the decisions that caused the problem at the scale of a large business, the business only has the logic of finance to care about, and that logic almost always says "wellp that was still the right call"

If our only tool is fines, we must scale those fines not by some monetary definition of the harm, but by what will make the necessary impact on the decisionmakers involved.

I think we should use tools other than fines, like criminal conspiracy liability for controlling shareholders and executives, and the threat of dissolution of businesses to pay out to the victims, but if it's fines or bust, the marginal value of dollars is just on a different scale for these businesses and we should grow the fines accordingly
Oh, very interesting, that's a great solution then.
Do you have a problem with Node.js too because it creates a node_modules folder, or is the problem that it is not handled automatically?
I agree, I find Go's way much easier to reason about. It's all just functions.
Why?!

The 5-year and 10-year for both under-perform QQQ & SPY
Hurting the shareholder is the only option to actually fix anything. Until the C-suite and board are forced to face the music caused by rich people being parted from their money, they'll just continue patting themselves on the back and giving themselves bonuses.
What is a good way to speak on the basis of nationality or it is always bad (tm)?
Definitely not fan of bluetooth peripherals
Yeah and even with static typing, a string can be many things. Some people even wrap their strings into singleton structs to avoid something like sending a customerId string into a func that wants an orderId string, which I think is overkill. Same with int.
Not entirely sure, but I thought they were talking about the 4th amendment, which also is relevant. It prevents the government from spying on Americans without a warrant. The NSA works around it so openly by buying the spy data from third parties, and saying the 4th Amendment doesn’t apply since they didn’t collect the data themselves, so it’s fine. It’s a giant middle finger to the Constitution of the US.

https://en.m.wikipedia.org/wiki/Fourth_Amendment_to_the_Unit...
This "secret deal" is called regulatory compliance. I won't blame Musk for having never heard of such a thing before but indeed it's no secret.
Another winter is inevitable, but how soon will it come?
do you mean something like generalized front running, where they see imminent happenings, get there first, and in this case dissuade competition?
They're early to this opinion, people will start to realize this en masse soon.

Digital coding assistants are here to stay, but not at the $10/month price point. Maybe $10/year.
That was the entire point, that C++ is the absolute worst.
Companies worked that way for decades. Everything was on the corporate network which was only accessible in an office or via VPN.
For making things better personally I agree with you on changing the mindset in the ways you mentioned. Im agnostic leaning a bit towards atheism and yet I found praying help bring serentiy sometimes. There are many ways to bring serenity. It’s just cope.

However, from a systemic point of view we can’t all nor are all of us capable in this ballancing act of taking a meaningless job and moving the needle on the meaningless scale on the side. Humanity is loosing the battle.
Bullshit jobs do turn us into serfs of sorts.
Norepinephrine is released from neurons both in the brain and in the peripheral nervous system, it is the drug that crosses the blood brain barrier not norepinephrine.

NE may be desirable in some subtypes of ADHD because varying mechanisms can cause the same symptomology, its complicated and we don't know enough yet. Dopamine also plays an important role in attention

In no way does dopamine "attach" to NE, so I'm not sure what you're trying to say there

There are receptors for catecholamines both pre and postsynaptically, so it is a misstatement to say that they have an affinity for one or the other.

The way that synaptic release works is generally through vesicular release but in the case of amphetamines what they do is not only stop the reuptake of dopamine or NE from their synapses but they can also cause efflux out of the reuptake transporter.

Generally speaking NE and dopamine are in different neurons but there may be some crossover.

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

https://en.m.wikipedia.org/wiki/Synapse
Reading this it sounds like 'AI' is when you build a heuristic model (which we've had for a while now) but pass some threshold of cost in terms of input data, GPUs, energy, and training.

The classical approach was to understand how genes transcribe to mRNA, and how mRNA translates to polypeptides; how those are cleaved by the cell, and fold in 3D space; and how those 3D shapes results in actual biological function. It required real-world measurement, experiment, and modeling in silico using biophysical models. Those are all hard research efforts. And it seems like the mindset now is: we've done enough hard research, let's feed what we know into a model, hope we've chosen the right hyperparameters, and see what we get. Hidden in the weights and biases of the model will be that deeper map of the real world that we have not yet fully grasped through research.

But the AI cannot provide a 'why'. Its network of weights and biases are as unintelligible to us as the underlying scientific principles of the real world we gave up trying to understand along the way. When AI produces a result that is surprising, we still have to validate it in the real world, and work backwards through the hard research to understand why we are surprised.

If AI is just a tool for a shotgun approach to discovery, that may be fine. However, I fear it is sucking a lot of air out of the room from the classical approaches. When 'AI' produces incorrect, misleading, or underwhelming results? Well, throw more GPUs at it; more tokens; more joules; more parameters. We have blind faith it'll work itself out.

But because the AI can never provide a guarantee of correctness, it is only useful to those with the infrastructure to carry out those real-world validations on its output, so it's not really going to create a paradigm shift. It can provide only a marginal improvement at the top of the funnel for existing discovery pipelines. And because AI is very expensive and getting more so, there's a pretty hard cap on how valuable it would be to a drugmaker.

I know I'm not the only one worried about a bubble here.
The way this works in civil engineering is that the engineer refuses to sign off on an unsafe design. If costs have to increase to address the issue, then they do. If management doesn't budge, then they bleed money while twiddling their thumbs staring at an unapproved design.
To run with the analogy some more:

The bank is expected to have people trying to break into it. Sure would be nice if they didn’t, but that’s not the reality. As such, failing to provide adequate defences is absolutely a failing on the banks behalf.

If they were keeping even more data than necessary, that’s just extra failure on their behalf.
If you read the GP text, they're not comparing the specific technology, they're saying that we're at an equivalent point in the development path.
In theory it's nice that the compiler would catch those kinds of problems, but in practice it doesn't matters.
What HDDs do you have for it to be 60TB in total?
Sometimes is the qualifier. What are you using it for and how are you using it? The barrier to consistent reliability with these tools is definitely above most organizations' grasp at this point, but that'll only improve with time.
And I'm sure he'll follow through on that, just like he promised to drain the swamp and lock up Hillary. Trump is a narcissistic idiot who cares more about what people say about him than anything else. He has no real convictions of his own; if he's good at anything it's tapping into contrarian populism. Anything he "achieves" will be forgotten as soon as he's gone from office (assuming he's elected again). And as long as we promise to think of him fondly and miss him he'll go away.
No way. If I were running a small MSP, I was breached, and my customers were infected I'd be sued out of business immediately. The fact that they are a titan means they should be that much more vigilant.
I often reach for python multiprocessing for code that will run $singleDigit number of times but is annoyingly slow when run sequentially. I could never justify the additional development time for using a more performant language, but I can easily justify spending 5-10 minutes making the embarrassingly parallel stuff execute in parallel.
> Charles Moore definitely believes in modifying the original problem so that it fits forth while he modifies forth to fit the problem.

This philosophy is often described by 80s lispers. They're not top-down nor bottom-up.. they lie in the middle. Trying to make a comfy intermediate layer so they can experiment various upper layers to fit the problem and adjust if rapidly in case of changes. Similar to IR in compilers I guess.
A winter where AI will continue to be used for semantic search, moderation, translation, captioning, TTS, STT, context-aware grammar checker, LLM, audio/image classifier.

An AI winter where AI will be used everywhere.
> There's really no reason why any service providers should save this stuff

There are many reasons! Most of them are simply contrary to how folks think business should operate. Unfortunately the US seems to value "disruption" over "customer protection", so legally protecting data is unpopular on the hill.
"Importing richer people" is just one part of it, you're also freeing up housing elsewhere which allows greater upward mobility there. Their income also brings more opportunity with them.
> The biggest complaint I have with IRC is its assumption of synchronous communication.

But that's like complaining that the assumption of water is that it is wet.

_Chat_ by definition is right here right now. It is not mail, pager, bulletin board, forum, or... water.

And indeed we have "persistent proxies" but we call them bouncers[1] and they have plugins and stuff all figured out in the _thirty plus years_ IRC has been around.

IRC does one thing and does it well enough to be older than all the social media, and to outlive it too.

Making your own bot[2] is easy, and "persistence" can also be done by having... wait for it... public logs[3]!

And yeah I use Discord too, it's fine while it lasts. On IRC networks since... 1997, and still here and most useful.

1: https://wiki.znc.in/ZNC
2: https://github.com/drbig/catabot
3: https://github.com/drbig/chatlogger
> fired for poisoned chalice position and it all blamed on you
Wow.

I did not imagine I would ever agree with Goldman Sachs on anything in my life.

Now, I do think it has its uses, but it's once again way overhyped like all the hypes that came before it. As always there is a certain use to it but it's way overblown.
At least for me, the worrying would never stop. Even when I send letters with clear deliverables and timelines, I would just find myself worrying and getting angry over the whole situation.

The only time it stopped was after about 7 months, when we finally signed a settlement agreement. But then it all started again when no payment came in.

I’m not sure how the other party felt about all this, but to be on the receiving end of it all is horrible, and maybe just accepting the money is lost would’ve been better in the end.
It's fairly common for two proteins to have almost identical structures but different (down to 30% or lower sequence identify) and it's also possible to mess up a nice protein that folds easily with a single amino acid change.

Depends entirely on the context and details.
The entire concept of "bullshit jobs"/"meaningless work" just sounds like mental illness to me.

> We can’t ascribe an absolute worth to hairdressers or service workers (though I would argue the pandemic has taught us we highly undervalue these kinds of workers)

> 37% and 40% (respectively) of people believed their job did not make a meaningful contribution to the world.

These two statements seem to be related. These people undervalue themselves as much as others. That's antisocial behavior as much as sheer ignorance.
Everyone says what needs to happen. Every thread has this same exact post. We all know what needs to happen. How _would_ this ever happen? This is a board of innovators -- innovate!
Google makes it easier for users to switch on advanced account protection
> The hype isn't coming from where AI is today, but where it will be in 2030 and 2040.

Scott McNealy circa 2002[1][2] had some relevant food for thought:

>> But two years ago we were selling at 10 times revenues when we were at $64. At 10 times revenues, to give you a 10-year payback, I have to pay you 100% of revenues for 10 straight years in dividends. That assumes I can get that by my shareholders. That assumes I have zero cost of goods sold, which is very hard for a computer company. That assumes zero expenses, which is really hard with 39,000 employees. That assumes I pay no taxes, which is very hard. And that assumes you pay no taxes on your dividends, which is kind of illegal. And that assumes with zero R&D for the next 10 years, I can maintain the current revenue run rate. Now, having done that, would any of you like to buy my stock at $64? Do you realize how ridiculous those basic assumptions are? You don't need any transparency. You don't need any footnotes. What were you thinking?

>> I was thinking it was at $64, what do I do? I'm here to represent the shareholders. Do I stand up and say, "Sell"? I'd get sued if I said that. Do I stand up and say, "Buy"? Then they say you're [Enron Chairman] Ken Lay. So you just sit there and go, "I'm going to be a bum for the next two years. I'm just going to keep my mouth shut, and I'm not going to predict anything." And that's what I did.

[1] https://archive.is/EZ6vD#selection-2985.79-2985.928

[2] https://archive.is/EZ6vD#selection-3009.1-3009.399
What bank/app do you use to invest (I'm in UK)?
Thank you for the feedback on the lack of context. Added some preamble and related background articles.
There has been no convincing argument by anyone that this will change in a way that will drive the value that the grifters in silicon valley are promising. It's tautological to say that people making bets are making expected value estimations about the future, and goldman sachs are doing just that
My spouse is a federal civilian employee with a scientific background and a special pay rate accommodation for it. Relative to her industry the pay discrepancy is still about 20% lower. In software roles the top end of the career is roughly the starting pay of junior developers everywhere else. It's not just lower, it's horribly lower.

They can absolutely make adjustments if congress needed or wanted to. The DoD as of 2019 does direct officer commissions for cybersecurity roles bringing people in as majors IIRC (it's still not as good pay as civilian cybersecurity roles but the gap is smaller and it has the prestige and lifetime benefits of being an officer).
> The low end models are so cheap that Apple is definitely subsidizing them

Source? I find that quite unlikely, considering their brand has strong recognition and demand, and design+manufacturing costs are probably not wildly different from other laptop makers.

They could be trying to get more people on board via lower prices, but the prices I've seen, although accessible to many people, seem similar to other brands, and seems quite compatible with making a profit.
It is almost certainly just something that hasn't been banned yet. There's a very long list of similar things which the UCI has banned, but they generally don't ban things which people might hypothetically do but haven't actually started doing yet, so each time someone comes up with a new idea there's a window of time to do it while it's still legal.
Basically true in JS too. You're not supposed to do blocking calls in async code. You also can't "await" an async call inside a non-async func, though you could fire-and-forget it.

Right, but how often does a Python program have complex shared state across threads, rather than some simple fan-out-fan-in, and also need to take advantage of multiple cores?
> The hype isn't coming from where AI is today, but where it will be in 2030 and 2040.

Yeah but the investors they're talking to aren't thinking about 2030-2040. They are thinking about 2025. If they don't get their 2000% profits they are imagining now they will declare it a FLOP!!!! and drop it. Doing harm to the overall development of a technology that does have its merits but is just propped up to a position it's not ready for by a long shot.

With this kind of pressure a slow slope is not enough to keep investors happy.

These guys are all hitting themselves in the head every day that they didn't buy bitcoins when they cost $0.01 and they are constantly telling themselves the next big thing will make them rich beyond their wildest dreams. They are ruining good tech this way. Metaverse was pretty decent too, it was just not for everyone yet (and it won't be for a loooong time), but it does have its niche uses.
And a really weird one, BASCOM-AVR. Used it extensively in my robot built for my fourth year engineering project. Nice thing is you could still use ASM interrupt handlers without a lot of hassle.
But that sounds boring and reasonable. Who cares that the whole project costs a lot, is apparently wildlife endangering, and has dubious benefits. Drones go brrrr, look like fancy future tech and I can put it in my CV to impress my next employer.
And corporations like AT&T are themselves immune to having their own identities stolen (my notes: https://win-vector.com/2024/07/12/yet-another-way-corporatio... ). Corporate EINs (the US corporation equivalent to US social security numbers) and public. Knowing one doesn't let you commit identity theft and credit card against a corporation (unlike the case for people).
You could open an issue and ask :P

https://github.com/pop-os/cosmic-comp
Your point needs more emphasis. The idea that the victim is anyone other than the customer is so wrong.

The other points are dubious too.

> But the truth is, given the size and international nature of the internet, there are effectively armies of criminals, sometimes actually linked to governments, that have incredible incentives to breach organizations. It doesn't require negligence for a data breach to occur - with enough resources, almost any organization can be breached.

So given that this is known, why was the data stored such that it could be taken? Why was it kept at all? Oh.. to sell.

> Put another way - you trust a classical bank, with a money, to secure your money from criminals. But you don't expect it to protect your money in the case of an army attacking it.

Yes I do expect that. And it’s protected and insured by my government.
This is not the AT&T Judge Harry Greene broke up. This AT&T is a roll up of most of the RBOCs the breakup created.
I mean, I think people are getting a little tired of the hype; not sure how many true believers there are at this point.
GPT-4, GPT-3 and GPT-2 all coded up small projects, though. If GPT-5 is just another "it gets it right sometimes" dice-roll machine then it won't matter how many modalities it has. It will be DOA, and we'll all be pinning out hopes on GPT-6.

This shtick is running out of steam, and it's becoming increasingly clear that Sam Altman (or anyone at OpenAI for that matter) doesn't have what it takes to keep it going. The honeymoon phase is over, you can't promise capabilities that don't exist without proving that they're possible in the first place. Superintelligence is one of those things.
Avantis' funds use rule-based quantitative strategies that use screens and performance data to decide the fund composition and trades. Unlike actively managed funds, there's no human picking stocks or timing the trades. I'm sure they tweak their models a lot, but it's not a Peter Lynch situation.

Indexes like the S&P 600 (which VIOV follows) use similar screens for value and profitability and so on, and could be said to be "actively managed" [1]. Don't forget that indexes are typically "actively managed" as well. The S&P 500 is an example of an index that is essentially a human-curated list set up by committee. It's not the top 500 companies on VTSAX/VTI.

But indexes have a big downside in they they're not rebalanced so often. Avantis' funds can rebalance constantly (usually daily) based on their quantitative models.

[1] https://www.optimizedportfolio.com/passive-is-a-myth/
See Neal Stephenson's latest, Termination Shock. Eagles trained for drone hunting, with 3D-printed claw protections
Any complaints or criticism on the lack of some widget on Motif?

Also, I'm curious: is the app accessible? AFAICT, Motif doesn't even mention accessibility, and is where Sun made real progress in the past.
Julia's package manager (for one) works great and can manage non Julia packages. the problem with python's system is that rejecting semver makes writing a package manager basically impossible since there is no way to automatically resolve packages.
In all fairness my opening paragraph highlighted that it's a highly discretionary / luxury purchase by direct inference.

Your statement that 8m units were sold followed later by a statement that it would have not sold well in the budget market is also contradictory.

I stand by my claim that the cost is the main issue, because when you're playing a volume sales game in a small market and you're significantly more expensive than the competition, and your product is a purely luxury / discretionary purpose, you're probably screwed up your market segmentation and product placement.
Seems like we’re one near-miss or a collision away from an international convention on rules of the road for lunar orbit.
Gaussian splats themselves aren’t very useful for Hollywood because they don’t have any issues with higher cost representations that are more accurate.

That said, Gaussian splats are based on very old papers that do have use in Hollywood. The closest example is radiance caches for Renderman.

This would store points in space with very similar information to a splat, then interpolate between them to provide things like bounce lighting.

The first Pixar film to use this throughout was Up.
Yeah. I agree. We have a strong offboarding process as well. But other employers? I mean. I’ve seen some shit in my day.
Small businesses have gradually been losing the fight to vertically integrated, more efficient corporations for several decades. I think these corporations genuinely play a larger role in our lives than before.
Meanwhile... https://news.ycombinator.com/item?id=40944505
For reference, I see this: https://ibb.co/bRVBdr0