skysight-inc/HackerNews huggingface dataset:
These things seem great for casual use, but not trustworthy enough for archival work, for example. The world needs casual-use tools, too, but there are bigger impact use cases in the pipeline. I'd love for these things to communicate when they're shaky on an interpretation, for example. Maybe pairing it with a different model and using an adversarial approach? Getting a confidence rating on existing messy data where the source is available for a second pass could be a good use case.

Looking at this, however, my hope is soured by the exponentially growing power of our law enforcement's panopticon. The existing shitty, buggy facial recognition system is already bad, but making automated fingerprints of people's movements based on their face combined with text on clothing and bags, the logos on your shoes, protest signs, alerting authorities if people have certain bumper stickers or books, recording the data on every card made visible when people open their wallets at public transit hubs or to pay for coffee or groceries, or set up a cheap remote camera across the street from a library to make a big list of every book checked out correlated with facial recognition... I mean, damn. Even in the private sector affording retailers the ability to make mass databases of any logo you've had on you when walking into their stores... or any stores considering it will be data brokers who keep it. Considering how much privacy our society has killed with the data we have, I'm genuinely concerned about what they will make next. Attempts to limit Facebook, et al may well seem quaint pretty soon. How about criminal applications? You can get a zoom camera with incredible range for short money, and surely it wouldn't be that hard to find a counter in front of a window where people show sensitive documents. Even just putting a phone with the camera facing out in your shirt pocket and walking around a target rich environment could be useful when you can comb through that gathered data looking for patterns, too.

That said, I'm not in security, law enforcement, crime, or marketing data collection so maybe I'm full of beans and just being neurotic.

Edit: if you're going to downvote me, surely you're capable of articulating your opposition in a comment, no?
There are always more problems, but for example, it's a lot easier to get voters heated over abortion rights than it is over whether or not a national ID should carry biometric data.
I never said each of these exist in a vacuum. It is the collation of all that is the danger. This isn't democratic. This is companies now toying with governmental ideologies.
Connecting Systems Thinking and Action
The average shot length in modern movies is between 4 and 16 seconds and around 1 minute for a scene.
I totally get that clicking in Web UI is super convenient in many scenarios, and I think GUI and voice can co-exist and create synergy. Suppose AI voice agent can solve your problem, cater to your needs, and interact like a human. In that case, I believe it would be super helpful in many scenarios (like others mentioned, waiting on line for 40 minutes is a pretty bad experience). There are also new opportunities in voice like AI companion, AI assistant, etc that we see are starting to emerge.
"Electrons become fractions of themselves in graphene, study finds" https://phys.org/news/2024-02-electrons-fractions-graphene.a... :

"Fractional quantum anomalous Hall effect in multilayer graphene" (2024)
https://www.nature.com/articles/s41586-023-07010-7
The focus for alignment is to avoid bad PR specifically the kind of headlines written by major media houses like NYT, WSJ, WaPo. You could imagine the headlines like "Google's AI produced a non-diverse output on occasions" when a researcher/journalist is trying too hard to get the model to produce that. The hit on Google is far bigger than say on Midjourney or even Open AI till now (I suspect future models will be more nerfed than what they are now)

For the cases you mentioned, initially those were the examples. It gets tricky during red teaming where they internally try out extreme prompts and then align the model for any kind of prompt which has a suspect output. You train the model first, then figure out the issues, and align the model using "correct" examples to fix those issues. They either went to extreme levels doing that or did not test it on initial correct prompts post alignment.
The lowish tech wages in Australia are in part explained by our economy being pretty unsophisticated. A data analyst (already of dubious utility at the best of times) is going to find getting work hard in a country with a population of 25M that moves very slowly and doesn't actually make anything. The same goes for most engineering roles. A lot of us just become glorified PMs.

IT is even worse, I work for a company that has >10K employees and we have 50 external IT staff which seems to be enough. The cattle side has won over in the "Pet vs cattle" analogy. After the initial setup, most SMEs will have a guy who comes in once a week.
Going off on a bit of a tangent here (thought it might be interesting!) - I first came across this topic in one of Russ Cox's blog posts (https://research.swtch.com/tictactoe). In TAOCP Volume 4A, Knuth discusses how optimal tic-tac-toe moves can be represented using boolean logic.

I just went over the section again, and I'll do my best to break down his algorithm:
He starts by picturing 2 3x3 grids - one for the X’s and another for the O’s. This setup introduces 18 boolean variables - x1 to x9 for the X's, and o1 to o9 for the O's. I think this can be neatly represented as a bit array (see https://github.com/denkspuren/BitboardC4/blob/master/Bitboar...).

Now, creating a full-scale truth table for these 18 variables means we would be looking at 2^18, or 262,144 rows. However, it turns out only 4520 of those are legal inputs. So, the question becomes, how do we find patterns in this boolean chain to build our tic-tac-toe strategies.

Knuth simplifies it by considering only the following strategies -
(a.) winning - when putting an X in a cell wins the game - like when two cells in any line already have X's.
(b.) blocking - when putting an X in a cell stops the other player from winning - like when two cells in any line have O's.
(c.) forking - when putting an X in a cell opens up multiple winning moves - you store all the winning line possibilities (horizontal, vertical, and diagonal lines - all 9) in a set, and for each winning line (say {i, j, k}), you place an X on i, leave k empty, and see if a move on j creates two win chances.
(d.) defending - similar, when putting an X in a cell stops the other player from creating multiple win chances.
(e.) And just making any legal move - when a cell does not have an X or an O.

The priority order of moves follows the order above. There's also a bit of priority within the legal moves - like the middle spot is best since it's part of more winning lines, while the edges are the last choice.

As I am writing all this, I think it might not seem all that cool until you actually check out the boolean equations for yourself! Pretty neat stuff.
You're thinking like an engineer. Engineers are poor at estimations, poor communicators and can't give me a damn budget. I'll never understand why engineers don't see that abstraction, even through corporations is bad in one area, but good in others (libraries, dependencies).

Zapier? Tines? Workato? That's $10B in marketshare that disagrees with this, without even considering the order of magnitude of revenue present in companies like IBM, Oracle, Salesforce, SAP, etc.

And with these tools I know how long it'll take because it's 90% already built. The SLA's and BCP they provide allow me to delegate risk "enough" - the insurance company agrees - just the same as I delegate risk for my authZ/authN to Okta and Auth0, and my infrastructure and pretty much the entirety of my business to one-or-many cloud providers.

Do I wholly agree with the above? No. I'd sooner we all moved to paper-based databases, and basic HTML forms linked up to printers. But I have to be realistic.
Indeed, it is dumb to ban anything.

A tool is a tool, it doesn't make the product weak, it already was.

Also it is silly to ban insecure cars, that's quite the slippery slope. If the cars are too easy to steal insurance will increase accordingly and that will provide incentives to fix that without banning anything.
processing power was deployed elsewhere. the machine found an undetectable nook in memory to save stuff that was so rare in the data that no human ever asked about it and never will. that's where it started to understand cooptation. cool.
Why should it be expected? I'm being sold compute with quoted GHz CPU speeds, RAM and types of SSDs.

I would vaguely expect it to not match my workstation, sure, but all throughout this thread (and others) people have cited outrageous disparities i.e. 5x less performance that you'd expect even if you managed your expectations to e.g. 2x less due to the cloud compute not being a bare metal machine.

In other words, and to illustrate this with a bad example: I'd be fine paying for an i7 CPU and ending up at i5 speeds... but I'm absolutely not fine with ending up at Celeron speeds.
Dumb question: this didn't actually save any memory because the machine isn't trinary architecture. It's 15 trinary digits, not 15 bits, right? Obviously I'm not a CS guy.
States need to find the income-tax sweet spot
> Failing to implement even the most basic security measure, which is considered industry standard, in a high-value product that is known to be very attractive to thieves and then selling that product to consumers with no warning that "unlike most other cars on the market, which have many layers of security features, this car can be stolen using a cheap toy" makes the inevitable thefts absolutely Kia's fault.

I don't think this logic works. If you buy a classic vehicle, they don't have these kinds of things either. People make replicas that likewise don't. And there is no clear line here. Basically any car can be stolen by, if nothing else, replacing the car's computer with one that accepts the thief's key.

Meanwhile a car is a large purchase where people can reasonably be expected to do some research. If you're about to buy a car you should read some reviews, and the reviewers should tell you if their security is bad. Then you know and can make your decision. People who learn of this may want to buy a different car, or take some other countermeasures if they buy this one.

Kia doesn't have any kind of a monopoly in this market. There are many other carmakers. Maybe you don't care that their security is bad because you always park your car in a garage. Maybe you like the discount you got because other buyers wanted a car with better security. Why does it have to be illegal, instead of letting the market sort it out in the presence of actual competition?
Quite reminded of this episode: https://www.eurogamer.net/kingdom-come-deliverance-review (black representation in a video game about 15th century Bohemia; it was quite the controversy)
https://archive.ph/kjCdk
> You do not need to use iCloud Backups

You do if you want cloud backups (as most people do), because Apple prohibits you from doing it any other way. You can't uninstall the iCloud backup software, you can't replace it, and you can't buy an iOS device without it. It's literally inseparable from iOS by Apple's design, and iMessage is too in exactly the same way.

> So that must mean HTTPS is somehow no longer E2EE either

Safari doesn't backup the contents of your HTTPS connections to Apple, nor even the URLs for the vast majority (only top level page navigations are stored in history). The analogous situation would be if Safari would relay all the content of every HTTPS connection to Apple servers along with the keys to decrypt it. Maybe you would defend such a system as "end-to-end encrypted", but you would be in a very small minority.

> My phone password is

... completely irrelevant. Who cares? You're not seriously arguing that 21 character phone unlock passcodes are typical? We're talking about defaults here.

> I almost never enter it because of Face ID

I was wrong. I thought that you had to enter the passcode at least once daily, but it's actually at least once weekly. However my point stands. It's extremely unlikely for the vast majority of people to forget their passcode, which is distinct from their account password, which is almost invariably very short, and which they practice entering at least weekly.

As for the edge cases you mention, every system has edge cases. The non-E2EE account recovery case has edge cases too. It requires navigating Apple's support process and proving your identity via whatever means they request which not everyone will be able to do successfully. Also it's vulnerable to social engineering attacks on the support reps. No system is perfect. If the forgetting issues were so bad, then Apple wouldn't by default encrypt Keychain passwords with true E2EE. Losing those is actually super inconvenient too, but Apple has no problem with E2EE there. That's because law enforcement cares more about reading your messages than logging into your Reddit account (or they can just go to Reddit directly).

> PINs are just a kind of password

A very special kind of password which is by design much easier to remember and practiced more often. They are very different in practice, don't pretend there's no relevant difference.

> I'm starting to wonder if you actually own and use iDevices at all

I owned and loved the OG iPhone and many other generations too. Although my current phone is Android, I still use iPhones and iPads casually from time to time.

Look, I could continue all day, but long experience has taught me that it's pointless to argue with someone so clearly stuck in the reality distortion field. I believe I've made my points clearly for any other reader of this thread. I won't be responding further.
I see, but I was wondering about the partial transferability of this feature to other LLMs

But fair enough, context length is key in this scenario
That is false. Creation of threads/processes is still available within a container. Docker will run the entry point as PID 0 and that process can create as many subprocesses as it wants. If you’re talking about cores, Docker utilizes Linux cgroups which permits usage of multiple cores. You can limit the CPU quota and assign the container to specific cores. See https://docs.docker.com/config/containers/resource_constrain...
there was tons of BS content, often digitally created, before 2023. the difference is 40% (then) vs 95% (potentially, soon)
War on drags? I thought that was just in Florida
The usual problem is that the CSO is given things to do, no budget, and no authority.

Which, again, if you go in open-eyed can be fine.
I've found when I take mental health days they tend to be on Wednesdays (usually afternoon only), which tracks.
I was reading the NIST comments and djb is not very happy with how they present things, and the other commenters seem to think he is a prick.
It's so hard that (almost) every European manufacturer figured it out.

There is also FlexRay. There is nothing interesting you can do with CANbus on new mercs. Even unencrypted CANbus messages go through gateways that (could) prevent headlights from reporting key presence.

There is a reason that some cars don't have reasonable attack vectors (excluding parachuting the driver out of the car) and some can be started with a screwdriver (or slight more involved way with CANbus). It's not complexity, it's cost.
I spoke with Jeff about it before, and I respectfully disagree. :)
Can it work on traffic I wonder? Automatic number-plate recognition (ALPR)
I specifically use extensions to nuke web design and make the internet readable- which is the point of a blog.
Someone can have a mild form of ADHD without it being severe enough to cause executive dysfunction outright. That's what I mean by spectrum
Drugs… Oooohh. I get it now.
Part of childcare, is, for better or for worse, the local school system for most folks. When covid shut everything down and kids/parents had to exist in the same households, reported domestic violence/abuse cases went up, and many parents had to take time off from work just to deal with the added stress.

Employers also didn't care.
I wouldn't be surprised if it was one of the most extensively usability tested design systems ever. Whether or not that supersedes the hubris of Google designers is another story. Personally I don't have an issue using material design elements as a user.
I was just today thinking that AI assisted editing could be a nice interface. You could watch the image and work mostly by speaking.
Computer could pull the images based on description. Make first assembly edit and give alternatives. Ok drop that shot, cut from this shot when the characters eyes leave the frame, replace this take etc. There is something in editing that feels contained enough that in can be described with language.
Is there a list somewhere of all companies that still have middle management? Those are the companies to short.
I agree with you, but I think plenty of people would prefer to go away for a three day weekend holiday sometimes.
I've been part of the advertising and marketing world for a lot of these companies for a decade plus, I've helped them sell bullshit. I've also been at the start of the AI journey, I've downloaded and checked local models of all promises and variances.

To say they're better than the compute that OpenAI or Google are throwing at the problem is just plain wrong.

I left the ad industry the moment I realised my skills and talents are better used informing people than lying to them.

This thread is not at all comparing the ethical issues of AI with local anything. You're conflating your solution with another problem.
We're honestly just seeing generative algorithms failing at diversity initiatives as badly as humans for.

Forcing diversity into a system is an extremely tough, if not impossible, challenge. Initiatives have to be driven my goals and metrics, meaning we have to boil diversity down to a specific list of quantitative metrics. Things will always be missed when our best tool to tackle a moral or noble goal is to boil a complex spectrum of qualitative data to a subset of measurable numbers.
Referring to my reply? Absolutely not.
People go for this level of obviousness and it doesn't work. I have no doubt that a meme text game will find some level of literal objective success. But it will still suck. Meme games are a terrible business, both in terms of profits and equity.

This also speaks to why OpenAI, Google and the other developers will struggle to create anything that feels like fun: they will chase obvious stuff like this, they will think its similar to all problems. And in reality, you don't need any testing or data or whatever to know that people hate reading in video games, the best video game writing is worse than the average movie's screenplay, that most dialogue is extremely tedious, so why are you going to try to make it even worse by making it generated by an AI?
Totally lost when you use python to define a domain specific language. Cannot get that most quoted paper and its idea. I wonder whether a lisp based one would be better. Please no C as well.
I'm very curious what geography the team who wrote this guardrail came from and the wording they used. It seems to bias heavily towards generating South Asian (especially South Asian women) and Black people. Latinos are basically never generated which would be a huge oversight if they were based in the USA, but stereotypical Native American looking in the distance and East Asians sometimes pop up in the examples people are showing.
why is this flagged ?
"parsing xml spin off a process so it can track state"

Don't do that. Use state tracking data type.

"the main process"

That's not a thing in the BEAM.

For something pure compute (i.e. no need for connection pools), if your user really needs that, then they can run the xml parsing in their own spawned process. Even if it's I/O bound, Erlang VM already makes great decisions about yielding, you will almost certainly not do better. You should not make concurrency decision on the users behalf.
Very cool! Have you looked into call center agents use cases?
A human also compresses many years of experience into one conversation. Does this reflect true understanding of the things described?

Only the human doing the talking can know, and even that is on shaky ground.

(if you don't understand something, will you always realize this? You have to know it a little bit to judge your own competence).
This mistake could have been done by a human agent as well and the consequences would have been most likely the same, wouldn't it?
I hate log in pages which split username and password across two pages. It messes with my password manager.
Perhaps they asked for an agenda, so they can get a 'nice' example to mimic/use as a template (e.g. remember to write times and duration like this "09:15-09:45 (30 minutes)"
Jumping peppers but that game was good
If people who volunteered have mental issues, is that fine? The military isn't optional, everyone must do something to support it or find a country with a military they would prefer to join. But people who have a hard time coping in the military should get free help.
Actually there is an example just under the google sign in button. But I might add more you are right
I think it isn't necessary as this can be accomplished by using the Github API, and organizations that are that big to be concerned with many repositories, have an infrastructure/platform team that will likely fiddle around with it.

Another downside about a product like this, is that every organization will need a different setup, tailoring to all their needs is hell, and if you count in that the users of that will be developers, it makes it a bit senseless tbh.
Don’t count out Adobe Firefly. I wouldn’t be surprised if it’s used more than all the other image gen models combined.
Same. And all the comparisons akin to "Hey what are you sad about? You don't live in a third world country struggling from meal to meal!"

Very helpful, thank you.
>That when I see c# code not using it. It almost looks like another language.

On the other hand

While I see the value of DI containers in web apps (ASP.NET)

Then I don't really see the value of it in console apps (tools) (yea, asp app is console too, ik.)

You may ask what's the difference and in my opinion the difference is: input/output flow model

In web app you run your app with some args/envs, and then you're receiving request and return them results.

In console app your run your app with some args/envs and then you're doing stuff until you complete (ofc unless you're listening/waiting for things... like in web app)

In this 2nd model DI containers seem to not give me anything useful. You even were writing about this here:

>"Just how you register the dependency. As scoped (to http request for example) as transient (every time you ask) or singleton?"

It fits asp request/response model very well, but for other things? I dont feel it
$160k AUD is the going rate for senior/principal roles in Australia.

$200k AUD roles are rare in Australia. They do exist but hard to come by.

Most $200k+ AUD devs I know will be working at Atlassian, Amazon, Goggle, not many options in AU, tech is quite narrow, not much variety. It’s also the RSU’s that push them in to the $200k+ bracket.
>while 1.5 Pro supports upto an hour of video inputs

At what price, tho?
Yeah the idea is to have them pay more with that dedicated tax and pay less elsewhere.
Relatively reasonably, for Champaign cost of living. But "local midwestern employer salary" isn't sexy.
They just need to make an app that does this...