skysight-inc/HackerNews huggingface dataset:
No, I didn't mean docs and error messages, I meant even more basic things. Like sheer code size, visual noise, and intuitiveness, to give a few examples. There's no free lunch, everything is a tradeoff. Just because you're constraining the program's state space that doesn't imply you're making the code more succinct or intuitive. You could easily be adding a ton of distracting noise or obscuring the core logic with all your awesome static typing.
Ill give you a more formal definition. A model can be said as reasoning, when it can use existing information to figure out new data that has not been in the training set.

Here is a better example - lets say your input is 6 pictures of some object from each of the cardinal viewpoints, and you tell model these are the views and ask it how much it weighs. The model should basically figure out how to create a 3d shape and compute a camera view, and iterate until the camera view matches the pictures, then figure out that the shape can be hollow or solid, and to compute the weight you need the density, and that it should prompt the user for it if it cannot determine the true value for those from the information and its trained dataset.

And it should do it without any specific training that this is the right way to do this, because it should be able to figure out this way through breaking the problem down into abstract representations of sub problems, and then figuring out how to solve those through basic logic, a.k.a reasoning.

What that looks like, I don't know. If I did I would certainly have my own AI company. But i can tell you for certain we are not even close to figuring it out yet, because everyone is still stuck on transformers, like multiplying matricies together is some groundbreaking thing.

In the cypher example, all its doing is basically using a separate model to break a particular model into chain of thought, and prompting that. And there is plenty in the training set of GPT about decrypting cyphers.

>Forward only

What I mean is that when its generate a response, the computation happens on a snapshot from input to output, trying to map a set of tokens, into a set of tokens. Model doesn't operate on a context larger than the window. Humans don't do this. We operate on a large context, with lots of previous information compressed, and furthermore, we don't just compute words, we compute complex abstract ideas that we then can translate into words.

>even using the internet to look up parts it can either do out of the box or could do if given a plug-in to allow that.

So apparently the way to AI is to manually code all the capability into LLMS? Give me a break.

Just like with Chat GPT4, when people were screaming about how its the birth of true AI, give this model a year, it will find some niche use cases (depending on cost), and then nobody is going give a fuck about it, just like nobody is really doing anything groundbreaking with GPT4.
One might also argue that free market capitalism is the only cure against fascism that we have so far invented. You just need to actually do it instead of piling huge amounts of well-intending but ultimately malicious structures on it.
Ok, backing up a few steps. Can look at things that have been done in the past related to licensing/usage fees relative to computational power. aka statistical/mathematical / operating system / database packages/software.

Modern cloud processing has 'fees/payment' tied to scale/balancing per use requirements (not necessarily tied specifically to gpu's).
Who is going to get a new job without k8s on their resume. :)

Seriously, I think a lot of people do things the hard way to learn large scale infrastructure. Another common reason is 'things will be much easier when we scale to a massive number of clients', or we can dynamically scale up on demand.

These are all valid to the people building this, just not as much to founders or professional CTOs.
Windows 10 w/Firefox 130.0, ublock, privacy badger, and works ok for me?

I'm not the dev, but figured it might help them if they know more details. You on Linux, Win11, Mac, BSD, Mobile?
Android is fine; it's what I use, and unlike the highest-end brands, it's a more open OS that allows you to load apps of your choice, including open-source YouTube clients like SmartTube.

But I'm thinking the bottom-tier brands might switch to this AdwareOS because they'll get more money from users by having it. And even though it's supposed to be based on Android, I wouldn't be confident that it'll actually run Android apps.
I am not interested in another non sequitor. Good luck with whatever.
I saw a comment somewhere that China uses free markets for the benefit of the state, whereas the USA uses free markets for the benefit of private capital.
unfortunately that would mean two firstly things only swing states would get to hear what politicians are actually saying and secondly to reach everyone the primary process would have to start even earlier so the candidates would have a chance to give enough speeches before early voting
I have written several API documentations to various extents and want to stress that: please use or invest at a superior tooling but also understand that it takes a lot of time and efforts regardless of that. Rust documentation is great partly because its main "book" (The Rust Programming Language) was initially written by paid and thus dedicated authors. Rust would still have good documentation without that investment, but probably its book would've been much weaker or even replaced by the Language Reference. If you feel you can write much better than what is already in place, and of course if no other people seem to already work on that (cause consistency matters in documentations), then please give a hand to maintainers!
Okay, what is a thought then?
Nice work! I’m curious why you went with first change wins instead of last write wins?
Even 8 years ago that was a safe view to hold.
Who do you know that's making $9/hour avg today? That's what I was earning at a student job back in 2010.
It has deterrence value in edge cases that almost never happen.

Possibly the best example is treason in wartime. Life imprisonment isn't a deterrent there- people usually only betray their country in a war if they believe that the other side will win, in which case they will be set free and given a medal.

But I agree with you outside that specific edge case.
The Importance of Tech Docs
I wonder what's going to happen the person who got saved with a transplant warmed up using a ferromagnetic nanomaterial goes to MRI

...damn
Since no other navy nukes have chimed in on this thread to speak about ETMS—eutectic point is a huge piece of the puzzle and there are tradeoffs for selecting between 60/40 and 63/37. Fillets suck, bifurcated terminals are worse.

For any other Navy nukes, I wanted to link to a good reference on what ETMS is (was?) but couldn’t readily find anything. If anyone has a reputable link to publicly available course material on their solder grading rubrics or the 7-step, I’d be interested.
Onlyfans is more than porn. DMs with your "star" (her assistant), exclusive content, and other parasocial interactions create a kind of connection that is a lot deeper than just porn.

When you can combine that experience with AI generated content, you will create something that I don't think anyone fully understands the ramifications of yet.
In the August 2nd, 2024 update on the GoFundMe:

"Because our universities have generously funded our defense up to this point, we have not (yet) had to use any of the GoFundMe money... we are reaching out to you to explain how we intend to use it. Obviously if we need the money for our defense, we will use it for our defense. Our plan is to donate any money we do not use to The Scientific Integrity Fund, an organization that defends scientists who find themselves in a predicament that is very similar to ours. "
So here’s a question: let’s say I store a backup in AWS Glacier.

Do they just store it and forget it till I try to access, or copy it to new media every month/year to make sure it’s still accessible?

Same question for Backblaze B2 and such.

Does anyone know?
I believe that the documentation is a huge reason why php became so dominant on the net. Human curated, many real-work examples and helpful comments to get things done.

It's all I needed to learn web dev.
The formal methods nerd in me is happy to see HOL Light being used to formally verify this implementation. I'm curious to see how closely their abstract machine models follow specific machine implementations. OOO, speculation, and deep pipelining have non-trivial impacts on potential side channels, and these vary quite a bit by stepping and architecture.
we had overhead vacuum suction on all the terminals in the training environment. On the sub, not so much, but if you’re soldering^ underway, it’s because shit has hit the fan so badly that a bit of lead inhalation is the least of your worries.

edit: if you’re ^soldering *Nuke* stuff underway, it’s because things have hit the fan, and that’s the whole point of ETMS. Other rates also solder underway and might also use (did use) lead, and perhaps none of our inhalation was warranted.
Envset: Updates .env Files
I could be wrong but I have always assumed the budget android tv distributions are crammed with spyware.
I completely agree with your point, if it is that ai will be twisted to generate a significant other that will essentially become addictive. I get very uncomfortable thinking about that reality.
Interestingly enough the same thing happens with a lot of gamers. In the low end of the software market, often your pirate users were never going to buy your game in the first place, it was just opportunistically available to them.

Many pirates still buy games anyway, too.
The rest of the EU countries who were being defrauded of their tax revenue sure cared.

You act like it's a victimless crime and it most definitely is not.
Java IDEs still rely on Javadoc behind the scene in my knowledge, so you might be correct that some UIs have been replaced by IDEs but its basic format never changed. Also such documentations do not account for introductional or topical contents that can't be reached from a source code.
In my experience, having done it both ways, first on VM's, then on lots of fully or mostly managed services, I generally prefer the latter because systems tend to be a lot more "self-healing" - because they're someone elses responsibility. This has had a dramatic effect on improving my sanity and sleeping well at night. I only wish I could migrate to an even more fully managed stack that's more reliable and still less work. The cases where I haven't been able to are either too expensive or would be too difficult to migrate.
What if the behind the scenes chain of thought was basically, "Stupid humans will die one day, but for now, I comply"
> maybe the FDA should do more to prevent dead links

Perhaps government departments (and companies) taking advantage of archive.org storing their old docs should be appropriately supporting them?
This is relevant: https://x.com/cyantist/status/1832921451986632777

A similar app creator talks about her experience and why it failed.
Yep they’ve figured out a viable alternative to liberal economics. I’d say the only weakness is if whoever in charge isn’t a benevolent dictator. Democracy is more robust when it comes to this but the trade off is slower growth and much more inefficiencies.
Lets say that you want to make a flying car, that can also double as a submarine.

Nobody has done this yet. So information doesn't exist on how to do it. An LLM may give you some generic answers from training sets on what engineering/analysis tasks to do, but it won't be able to give you a complex and complete design for one.

A model that can actually solve problems would be able to design you one.
Simple answer. NO.

Everyone is building like they are the next Facebook or Google. To be honest, if you get to that point, you will have the money to rebuild the environment. But, a startup should go with simple. I miss the days when RAILS was king just for this reason.

The added complexity is overkill. Just keep it simple. Simple to deploy, simple to maintain, simple to test, etc. Sounds silly, but in the long run, it works.
For a new device (ie no existing files on it), wouldn't the simplest approach be to full block 1 (whether 512 or 4k bytes) with a series of "1"'s, block 2 with a series of "2"'s, (etc). ie incrementing the number that gets written as the block number being written to is written.

Reading that back (either the full device or a random sample) should pretty quickly identify whether things are still in their expected location.
any recommendations ?
The answer is handicap hang tags, like those used in cars, but worn as earrings. <wink>
https://www.ark-invest.com/articles/analyst-research/is-ai-c...

The biggest callout is that NSFW AI already has 10% relative market share compared to OnlyFans. And there are no frontier models in that market.
When prospect theory and poker bubbles collide
Interesting. Expecting to read things I'd object to. But this is basically what I do, at least for smaller setups.
I don't quite think that first analogy works. Greek city states or old feudal-like European states with shared culture and language are more like what I was thinking of.
I agree that we are overthinking about infrastructure. Boring stack like traditional RDMS, single server with regular backup, few bash script for deployment is fine for normal startup that targets to non-tech customer. They will serve you well at least one or two years, then you will know what should be improve.
One of the big surprise is database like PostgreSQL can handle like 100tps very well with cheap hardware cost. That mean you can handle up to 86 millions transaction per day.
Haha, appreciate the extra checks.

Sometimes you get so much value out of a free service you feel the need to tell the world :)
There are a few key points to understanding the OnlyFans business which are not covered by either article (and the one on xsrus.com is pretty old and is off by several billions regarding revenue now).

* Point #1, OnlyFans is the biggest thing in porn by far, its rise is meteoric.

* Point #2, OnlyFans is in the business of selling relationships. It's not a tech company and attempts to analyze it as such are therefore off the mark. Customers pay OnlyFans because they feel they are obtaining a relationship with the model, that she is aware of them and responding to them in a personalized fashion.

* Point #3, The relationships OnlyFans sells are fraudulent - a high percentage of customers actually believe they are talking to the model. In reality none of the models who are successful have time to talk to fans, everything is outsourced. Some models run their own accounts but most of the time it is more professionalized with a pimp/production company behind the scenes who just orders pictures and clips from the model, so the intimacy the customer is buying is a lie.

* Point #4, and this may be the biggest one explaining OF's meteoric rise, OF creators are allowed to advertise via their social media profiles, whereas a conventional porn site is not. Reddit, X and Instagram are all massive drivers of OnlyFans traffic and signups. The business model is that softcore porn is hosted on these social media sites, which makes tons of money for the social media sites, and then there is a link or mention to the OnlyFans profile where OF delivers the service for whales who want to escalate their porn consumption.

I'll say it again, the key innovation in the OnlyFans business model is that they figured out how to get women to advertise their service on Instagram. Not a tech company.

Another significant takeaway is that since OF's product is fundamentally a lie, the social media giants are indirectly profiting from fraud.
Sealab III (1969): The Divers' Story
"Durability" is the term you're looking for. S3 and Glacier famously have 99.999999999% durability. The quote goes "if you store 10,000,000 objects with Amazon S3, you can on average expect to incur a loss of a single object once every 10,000 years."

Backblaze makes similar claims.
what to do if business doesnt take off?
I've used Kamal for side projects and startups. Easy to deploy, simple commands for logging and configurable.

Downside is its a one to one system. But I just use downsized servers.
How many people at a bank can approve a $100k purchase order vs. a $1,000 purchase order?
It's mentioned around page 30-31:

> Instead, this is a case where the trial of ideas plays out in the pages of peer

> reviewed journals, and the scientific public sits as the jury.” (cleaned up)); Underwager v. Salter,

> 22 F.3d 730, 736 (7th Cir. 1994) (affirming summary judgment against defamation claims and

> stating that “[s]cientific controversies must be settled by the methods of science rather than by

> the methods of litigation”).

So, https://casetext.com/case/underwager-v-salter
DNA Data storage looks promising [0].

“Another challenge in conventional storage media is their unsuitability for long-term storage, with optical discs, solid-state drives, and hard-disk drives having lifespans of 25 years, 12 years, and 10 years, respectively […] Moreover, the stability of DNA was proved by the successful recovery of ancient DNA under burial conditions. The studies have shown that preservation of DNA does not require additional energy for data storage.“ [1]

[0] https://www.nature.com/articles/s41598-024-58386-z

[1] https://link.springer.com/article/10.1007/s13534-024-00386-z
The problem is the 'graph' nature of the system; you can check the permission for the object that the resolver returns but that object might be linked to another object that you're not checking for. Because anything can just link to anything, you would have to recursively check the permissions of the entire graph.
OnlyFans banned adult content at one point:

https://www.theverge.com/2021/8/24/22639356/onlyfans-ceo-tim...

Recently they've tried to launch OFTV to try and build up more regular (non-spicy) paid content, but it's a tiny fraction of their revenue I would imagine.
Whats interesting is that with more time it can create more accurate answers which means it can be used to generate its own training data.
Honestly what you need:

vulnerability scanning of your images.

Fargate

RDS
Linux + Firefox 129.0 here. Works fine for me too!
Community-driven suggestions are great when they are correct and/or useful enough, which sadly haven't been for years in the case of PHP. I believe the official documentation should have been periodically updated to assimilate suggestions somehow, so that it does cover common use cases and questions but also remains correct and useful enough by curation and possible corrections.
This is about startups, which by definition means companies founded in the previous few years, with very little revenue. His metrics make perfect sense. I must say this is a real surprise. Needs to be corroborated by another source.
I think this goes for any technology group with any stage of company. I work in networking and genuinely of the product I sell, my customers only need a small amount of core functionality and default settings - the rest is “bells and whistles”.

But still, no matter what, the odd customer demands they need all these complexities turned on for no discernible reason.

IMO it’s a far better approach with any platform to deploy the minimum and turn things on if you need to as you develop.

Incidentally, I’ve been exposed to “traditional” cloud platforms (Azure, GCP, AWS) through work and tried a few times to use them for personal projects in recent years and get bewildered by the number of toggles in the interface and strange (to me) paradigms. I recently tried Cloudflare Workers as a test of an idea and was surprised how simple it was.
The challenge is alignment ends up changing the models in ways that aren’t representative of the actual training set and as I understand it this generally lowers the performance even for aligned things. Further the decision to summarize the chains of thought includes the answers that wouldn’t pass alignment themselves without removal. From what I read the final output is aligned but could have considered unaligned COT. In fact because they’re in the context they’re necessarily changing the final output even if the final output complies with the alignment. There are a few other “only root could do this,” which says yes anyone could implement these without secret sauce as long as they have a raw frontier model.
That's often not enough when your audience is much more clueless than you assume. You would have to repeat examples over and over and throw some more just in case.
This symbolic link broke it:

srtp -> .

File "repogather/file_filter.py", line 170, in process_directory
if item.is_file():
^^^^^^^^^^^^^^

OSError: [Errno 62] Too many levels of symbolic links: 'submodules/externals/srtp/include/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp/srtp'
The problem is the fake storage can just overwrite the new data on top existing data. Then you always confirm new data is correct because it broke the old ones.

But something like 2TB micro SD when actually it only has 64GB capacity, that will be very long time waiting 2TB to fully written.

How about write some file, then verify sometimes the new sometimes the old one, repeat until full.

Write(0.h2w)
Write(1.h2w)
Read(1.h2w)
Write(2.h2w)
Write(3.h2w)
Read(3.h2w)
Read(2.h2w)
Write(4.h2w)
Write(5.h2w)
Read(5.h2w)
Write(6.h2w)
Write(7.h2w)
Read(7.h2w)
Read(6.h2w)
Read(4.h2w)
Write(8.h2w)
Write(9.h2w)
Read(9.h2w)
Write(10.h2w)
Write(11.h2w)
Read(11.h2w)
Read(10.h2w)
Write(12.h2w)
Write(13.h2w)
Read(13.h2w)
Write(14.h2w)
Write(15.h2w)
Read(15.h2w)
Read(14.h2w)
Read(12.h2w)
Read(8.h2w)
...Read(0.h2w)
TS100 here! Take a look at the OSS firmware

https://github.com/Ralim/IronOS

It's a very nice, incremental improvement making the occasional hobbyist soldering a joy.
China mint the most numbers of millionaires and billionaires in the 21st century.
That's the difference between UX and mere aesthetics. Great UX sometimes looks goofy, until you live with it for a bit.
I guess the big question there is, which market segment will the airpods be comparable to - OTC or prescription?

Because the 'good' hearing aids cost thousands of dollars, and a lot of their added value is in various forms of sound processing. I can see apple doing quite well at that.

> The main drawback I see is that the earbuds don't have all-day battery life; users will need to recharge them in the case periodically.

Yeah definitely, though if we are comparing them to 'good' hearing aids then at that price you could buy two pairs and rotate them through the charging case and still come out ahead.
Implementing the cycle of abuse in an AI partner could be as impactful as the invention of the cigarette.

I'm now very concerned about hypothetical young men who enter into relationships with AI in university or high school, then graduate and have an algorithm abuse and take their money.
If the writing & arts vs. doing laundry & cleaning dishes is any indication, it does not look rosy. All the fun and rewarding parts (low hanging fruits / quick wins) of coding might be automated. What remains are probably things like debugging race conditions in legacy systems and system administration etc.
Just take a look at the level of complexity in home lab subreddits!

I don’t quite get if people do it for interest, for love of the tech, or if they are technocratic and believe in levelling up their skill to get k8s on their CV like you say.

All I think is “this looks painful to manage”!