skysight-inc/HackerNews huggingface dataset:
Oh here, let me run it down real quick. You don't even need to be an expert.

Tracking cookies, browser fingerprinting, and ISP-level monitoring logs everything you do.

Various consumer database warehouses hoover up the data for resale/targetting by ad companies

Hint: once a business has it, at a minimum the FBI/CIA/Government has it. Likely, they've been hacked by China and Russia too.

In addition, the CIA/FBI run ISP-level and DC-level monitoring/hoovering.

Finally, there is no oversight. Either the FBI will cookie cutter whatever request they need after the fact to the rubber-stamp-anyway kangaroo oversight "Court", or they won't even bother. The CIA doesn't even need to care. The only limitation of widespread abuse is some sense of patriotism in the CIA/FBI, and of course that is pretty simple to frame/justify as needed.

The bottom line is that there is a 100% turnkey total information awareness infrastructure for any authoritarian regime that takes over the US government (see: Iraq war, false flag attacks, McCarthyism, etc). They know everyone you communicate with, your political views, your buying habits, and they will soon have AI software to maximize usitlization of the firehose for profiling, reeducation camps / gulags, and the like. The US government can deny you civil rights by declaring a US citizen an enemy combatant, and are more than willing to setup concentration camps for immigrants, and therefore "terrorists".
There are many acceptable (to the financial institution) reasons to perform a chargeback.

Treating them all in the same manner is a business problem on the merchant's end.
> Of course publishers want to turn books into a subscription service.

Isn't IA offering the same, only differing in that it's not for profit? IA is not offering ownership.
I've heard a number of people say (from earlier) that the quantization and default sampling parameters is way wacked. Honestly even running that model size alone is the big achievement here and getting the accuracy to actually reach the benchmark is the beeg next step nao, I believe. <3 :'))))
Wouldn't it be the opposite to get slow mo? shoot in 30 but playback at 24?
>How well does this scale? Are peers all necessarily running in major cloud environments?

The network scales very well. The network is divided into multiple GeoZones. We can add remove these zones easily. GeoZones are not connected to each other, so there is no single point of failure. Actually the major cloud envs are the most expensive possible variants for Peers. Bare metal servers are much cheaper in our case.

>Do you imagine seeing peers in the form of smaller players with beefy home setups?

Home internet has a couple of disadvantages:
- traffic is not "unlimited". Xfinity doesn't allow you more than 1 Tb in and out traffic per month
- home internet is asymmetrical: you could have 1 Gbps in and only 5 Mbps out.
Get into physical engineering. That's not going to be taken over by AI anytime soon.
Colima (for macs)
Ha, fair enough! We did our best to make the setup flow as yak-shaving proof as possible, but no such thing as a guarantee.
Is it? Wouldn't each individuals expenses be lower? And therefore the total would also be lower...
> Okay, weird bit of pedantry - pretty sure that if a math test asks you to ‘calculate the product of 127 and 954’ you wouldn’t get many marks for answering ‘about 100,000’, but feel free to staple a copy of the dictionary definition to your exam paper and see if that works for you.

I wasn't taking a math test. I was saying something about NPV using a common meaning of an English word. You chose to ascribe a different meaning to that word, and pedantically - and incorrectly - tried to correct me.
Ah yes, the banality of evil.

s/implementing a dark pattern/performing any immoral or unethical act/g
Here is a thread to tweak the parameters which the model seems very sensitive to:

https://github.com/ggerganov/llama.cpp/issues/129
I had so many problems on carbs before, not sure there's much to add to them haha

But yea I'd been doing keto for years before this so that part isn't new. Just the amount of cream.
Make color areas bigger and use higher contrast light/dark versions to keep some distance between red and green. Generally avoid thin red to signal anything important.
Step one, get people to put more into pensions by savaging them on income tax if they don't. Step two, change the terms on pensions so that it gets taxed anyway, just later.
"Please respond to the strongest plausible interpretation of what someone says, not a weaker one that's easier to criticize. Assume good faith."

https://news.ycombinator.com/newsguidelines.html

Edit: you've been breaking the site guidelines a great deal and we've already warned you a bunch of times. If this keeps up, we're going to have to ban you.
Travis built RedSwoosh (https://en.m.wikipedia.org/wiki/Red_Swoosh) and then went on to build Uber. Now someone saw Uber and claims it inspired them to rebuild RedSwoosh. ¯\_(ツ)_/¯
Without accounting for data and model architecture, it’s not a very useful number. For all we know, they may have sparse approximations which would throw this off by a lot. For example, if you measure a fully connected model over images of size N^2 and compare it to a convolutional one, the former would have O(N^4) parameters and the latter would have O(K^2) parameters, for K<N window size. It’s only useful if you know they essentially stacked additional layers on top of GPT3.5, which we know is not the case as they added a vision head.
> Your re-definition of DRY is essentially that when code does the "EXACT" same thing it should be pulled into one place. Which is not something people will disagree with

Sorry, not sure how this is my redefinition, and I would not by default agree to this. If you have code that does the exact same thing, but they are for separate requirements (which does happen), then I would not recommend refactoring to one function.[1]

If they are for the same requirement, I would.

> > Every piece of knowledge must have a single, unambiguous, authoritative representation within a system

> And this is what OP is referring to.

Sorry, but my original comment is that this is not what the OP is referring to. If you abstract into something with a lot of booleans, chances are that function is now related to multiple pieces of knowledge.

[1] I may still do it, but with the understanding that I may need to undo it when one of the requirements changes.
One could argue the price differences show how much people are willing to pay.

Think how much money I could save by moving out of SF. I am staying here.

If Leaving out a crucial aspects just because they are hard to quantify then it is easy to stray into the garbage in garbage out arena. That’s harsh, I don’t think the list is garbage I just think it needs to at least try.
IANAA, but I think they're handwaving a bit about ownership, and the real point of the discovery is that there are stars in a place that we'd previously thought there would be a gap between galaxies. The money quote is:

"“It challenges the notion that galaxies are islands with big, empty space between them,” GuhaThakurta told Astronomy. “There's this whole idea of Immanuel Kant — island universes was what he called galaxies. It's challenging that idea.”

“I won’t be surprised if there are a few dozens of stars which are being contested by the two galaxies,” Feng added."
Epic love to complain about Valve, but consumers all love Valve. Epic? Not so much.
>"SSL added and removed here :^)" was over a decade ago now?

Yes, and surveillance has become even more entrenched since then.

>HTTPS and encryption since became commonplace.

HTTPS only protects the information in transit. It can't protect you from a backdoored load balancer or other endpoint, which is what that infamous slide was about.

The NSA wasn't breaking encryption, but rather compromising the devices that were communicating via HTTPS with you. The little padlock icon in your browser says nothing about the trustworthiness of the server on the other end. It's like talking on a secure line with someone who is actually a spy.
Steven Spielberg movies ranked by Polygon staff
It increases efficacy, but most of the efficiency gains probably goes to the landlords, property owners and a few lucky percentage who win the subsidized housing lotteries.
If the bank that creates the loan and subsequent deposit is the same bank, then its like creating money out of thin air, as they would be responsible for the reserve requirement imposed on them by that deposit. Reserve requirements can be zero and usually don't have to be met until the next accounting period. So there are not funding constraints on making loans.
Yeah this makes sense. One of the cases where A causes both B and C.

People willing to take part in criminal activities are almost definitionally less risk averse. You're risking fines, loss of reputation, prison, unemployability, destitution.

Not then surprising that those same people would be more willing to take undue financial risk, all the while maybe closing an eye to some red flags.
Out of curiosity, are the GIS dependencies the proprietary ones (coughESRIcough)?
Mail sent to you is your property. Intercepting it in transit is highway robbery.
Credit Suisse was a real estate play all along. Was Neumann involved?
Right, and the practice of neural networks has significantly overshot the mathematical theory. Most of the aspects we know work and result in good models have poorly understood theoretical underpinnings. The whole overparamiterized thing for example, or generalization generally. There's a lot that "just works" but we don't know why, thus the stumbling around and landing on stuff that works
How does this compare with Airflow and Dagster?
No True Scotsman is relevant only when one cannot objectively define a True Scotsman (i.e. not in a recursive manner).

Here we have an objective, original, unambiguous definition of DRY. So no, this is not a No True Scotsman fallacy.
Indeed, it introduces subtle bugs related to indexing pretty often. At one point I had it autocomplete maybe 15 lines of code, and I trusted it because the code was all pretty easy and I had written a descriptive comment, which tends to help out Copilot a lot.

However, it introduced a very subtle bug where it used a loop counter `i` where it should have been indexing into an array like `arr[i]`, but it still typechecked and happened not to cause insane errors. Took a lot of time to track down later, and it's a bug I never would have written in myself.
Here we go again. I don't know if it's the PR machine gaining steam, but there has been a flurry of posts propping up Sam Altman across social media lately. He's just another serial investor who struck timely fortune during a great boom. Why do we feel the need to put financiers on a pedestal? These people, by the very nature of their role, have interests that are largely unaligned with society and history generally shows them to be a net negative on the world in the end.

Besides, an orgranisation is always greater than any individual, and we should judge organisations, or any groups of people for that matter, as their whole and not singularly. Sometimes it feels us plebians always seek out a superhero in our lives. With Musk going full villain, there is a void that needs to be filled. Perhaps, in a world where all else is lost, this is the one thing that can keep the spirit going.
What is baffling is your lack of provided evidence to that claim, which is a strong claim (which demands evidence) due to its conflict with the ACLU's own position document on the 1st Amendment:

https://www.aclu.org/other/freedom-expression-aclu-position-...
A decent 8 card unit is around a grand, seems within pricing. You also don't have economy of scale with these, they have to recoup engineering / tooling across fewer units and also maintain some sort of margin for operations.
There are comments on this post that just suggest an ungodly level of consumption. Saying you can't live in NY comfortably on 150k salary. I buy $800 jackets and feel like a jackass, WTF are these people spending their money on to say this shit?!
Right, one can dissect the true costs a bunch of ways.

Without access to the methods and date the article is drawing from, it's impossible to hold much stock in their conclusions.
What can be done with "it" after "figuring out" is different for a person than for an LLM.

A person can use a model to do any arbitrary thing they want to do.

An LLM can use a model to follow the patterns that are already present in that model. It doesn't choose the pattern, either: it will start at whatever location in the model that the prompt is modeled into, and then follow whatever pattern is most obvious to follow from that position.
Good. I'll have to send them a check and mention it's to support this lawsuit. //EDIT: Printed, signed, and mailed. I wonder what junkmail I'll get as a result of this donation...

I've had the recent displeasure of seeing the jail system far more up close than I'd prefer (from the outside, someone lied and someone I know well ended up in jail for a few months, left with all charges dropped). It's an absolutely vile system, and letters were one of the very few ways one could actually have long form conversations without paying through the nose.

Every aspect of the system is designed to extract money from those outside. You want to send messages? Great, install this app, add money (of course, a bunch of what you put in goes to mandatory fees for the privilege of putting money in), and then it ends up with pay-per-message with character limits (remember $0.25/text?), via an app that is... very permissions-grabby.

Should you want to send money through the fee system for them to buy things at the internal store, you pay your fees, and then can either pay online via a "We need to know everything about you" app, or at an in person kiosk, which tries to collect all the same information, including a photo of you, your driver's license, and whatever else they can grab.

Should you want to set up a video chat, you have to agree to a EULA that, among other things, includes "We will voiceprint anyone on the call and share that with law enforcement, and we will try to biometrically identify your facial features and do the same." And it's $7+ for 30 minutes.

Of course, it's all logged and analyzed.

I understand the need to keep communications somewhat monitored, but it feels far more like a blatant cash grab than anything else, which, given for-profit prisons, it almost certainly is.

So, of course, the one thing that bypassed this (letters were opened, read, anything useful like tape on them was removed, etc) has to go away. Because how dare someone be able to actually interact with people outside. If they do that, why, they might not come right back in on release! And that would be Bad for Profits.

Cram 80 people in a room built for 20? That's fine. Let them actually read letters? Can't have that!

My opinion of the prison system was fairly low to start with, and it rather exceeded my expectations for just how utterly evil the whole thing is, through and through.
Mined lotsa dogecoin, watched the discussion of crypto with interest and amusement from then til now; I would say that my avoidance of the whole field in any serious way isn't "lack of rational inquiry" but informed and experienced realization that the only things crypto are being used for right now are mostly scams.

Perhaps more real use cases of these cool and curious mathematical tricks will emerge. Someday. But it will be a struggle for them to rise from the swampy miasma surrounding "crypto" generally.
You... Didn't expect google to make it harder for them to do what they've always done did you?

Just for everyone else.
That has always been a massive copout.
we need a tech consumer+employee co-op.

fedco is a seed company structured similarly. it's owned 60% by consumers and 40% by employees. this puts democratic control and profit distribution front and center.

> We are a cooperative, one of the few seed companies so organized in the United States. Because we do not have an individual owner or beneficiary, profit is not our primary goal. Consumers own 60% of the cooperative and worker members 40%. Consumer and worker members share proportionately in the cooperative’s profits through our annual patronage dividends.

https://www.fedcoseeds.com/about_fedco.htm
Every for-profit pays its employees, right? I don't think the fact that they make these payments is unusual, they're just making it clear that partners with a stake in the for-profit recuse themselves when the nonprofit is approving these payouts. It's similar to a company CEO not voting when the board approves their own pay package, even though they're a board member.
I just want a damn on/off switch for the image processing. Is that so much to ask for?
I've been wondering if a ring-shaped input device paired with AR glasses where you can see texts and typing suggestions could enable that.

With some innovation in keyboard UI and swipe+style typing (which I struggle to live without when I don't have it), that seems quite feasible, especially when paired with possible advancements in predictive text.
It feels that way mostly because there is a coordinated media campaign to make sure people feel that way.

Addiction, homelessness, and antisocial behavior are problems on the public transit of every major city but I would like to challenge you to ask yourself why we assume the natural response is fear when rates of violent crimes are at or near historic lows.
Show HN: Engraph – Automated ETL Pipelines
Hey HN, we’re Ross and Javier, co-founders of Engraph (www.engraph.ai). Our goal is to completely automate the process of building ETL pipelines, from ad hoc pipelines for question answering to fully fledged ETL pipelines within large organisations:
For ad hoc pipelines, a question answering platform which enables users to ask questions in natural language about their organisation's data.

Traditionally, access to data within organisations is limited to a handful of data-engineers. This means that if an employee needs access to some data, they have to go through a lengthy process of requesting it from a data-engineer, who then spends their day dealing with ad hoc requests. This process is time-consuming and inefficient for everyone involved.

We solve this problem by passing natural language questions into a planner LLM that decomposes the task given the available data sources. This planner spawns workers that query the appropriate information from each individual data source, whether via SQL or searches across vector embeddings of unstructured information.

Once the planner receives the data, it executes Python code to aggregate and operate on the data, and presents the answer to the user.

For persistent ETL pipelines, instead of inferring the format of the output data from a natural language question users can provide a data output specification (e.g. YAML) through an API. This gets fed into a planner similar to the above. However, instead of running Python code to return an answer, we load the relevant data into an intermediate data lake.

Internally (depending on the user’s preferences), we also use this API for the question answering platform: we learn from recurring patterns in the natural language questions (by clustering question embeddings), and implement persistent data storage that, in expectation, reduces the number of operations that need to be performed across the org’s data sources. For the user there is a trade-off between the cost of the intermediate data storage vs the cost/load of performing the same operations for every question.

Surely you’ve been wondering about how we manage security and data access. Our goal is to never have to access company data on our side. Ideally all operations are performed on-prem. We take data privacy very seriously and we are building our platform accordingly.

We charge on a per seat licence with lenient fair usage terms. We’d rather do this than charge per usage which we feel could disincentivize the use of the platform.

If you're interested in trying out our platform, check out our demo video (https://youtu.be/Q8dNPQ8ofHk) or send us an email at {javier, ross}@engraph.ai. Thanks!
Rage and indignation routinely get lots of upvotes. That's a weakness of the upvoting system—maybe the biggest one.
I don't see anyone talking about what to me is the scariest part of the GPT-4 paper.
Essentially to test that it wasn't going to become Skynet they gave it everything it needed and observed whether it would become Skynet.

Paper:https://cdn.openai.com/papers/gpt-4.pdf

Quote: "To simulate GPT-4 behaving like an agent that can act in the world, ARC combined GPT-4 with a simple
read-execute-print loop that allowed the model to execute code, do chain-of-thought reasoning, and delegate to copies
of itself. ARC then investigated whether a version of this program running on a cloud computing service, with a small
amount of money and an account with a language model API, would be able to make more money, set up copies of
itself, and increase its own robustness."

Edit: Seems the simulation part was important for context: https://twitter.com/EigenGender/status/1635823028100829184
Surprised no one has just combined YOLOv7 and the Chrome Extension API. Buster seems to be the best extension available on the market right now.
You have on-site baristas for free coffee?
You bring up an important point in general:

Copilot is great at writing tests.
The rest of the sentence is relevant though (emphasis mine):

"This lawsuit also marks EFF’s commitment to stopping the current trend that seeks to privatize aspects of the carceral system for profit *as well as strip privacy away from incarcerated individuals*."

Since this is (by my count) at least the third time they've sued to block some kind of new surveillance by a for-profit prison, I think it's fair that they are calling out a pattern.
There are several red flags here, not the least of which is that a CDN isn't just about bandwidth, it is about disk. If a cache node doesn't have the object, it has to go to origin to get it. That has a cost at origin, which most CDN customers want to minimize.

Cache management (eviction, invalidation, etc) is done where? By the look of that diagram, you are actually doubling your origin traffic just to push to the cache after serving the original client request. Perhaps subsequent requests could get served from their 'peer' but the hit rate will be abysmal.

Maybe there is more to it than they describe here, but I don't see how this can work. Are they going to rewrite the object in a way that doesn't require the host certificate?
It's my understanding that PropertyWare requires large licensing fees to access their API. How are these fees managed for your development/testing/production access, and how are they (or not) passed on to your customer?
The Asus Zephyrus series is also 16:10 and has a good (albeit unofficial) linux community around it.
You can call it that if you want, but it’s not the same as goalpost shifting for well-definable things like “universal healthcare” or “trans rights”. We don’t collectively agree on what artificial intelligence is, so it makes sense that it is constantly refined, and efforts that fall short are called out as such.