GamingChairModel

joined 3 years ago
[–] GamingChairModel@lemmy.world 9 points 4 hours ago

And to be clear, that's a 384 bit key, so the key was just 381 zeroes in a row, then a 1, then two more zeroes.

Or, with using regular decimal numbers, imagine a combination lock where the code is 115 digits long, and the first 114 are just zero, with a 4 at the end.

[–] GamingChairModel@lemmy.world 6 points 11 hours ago

Repaying debt is cash cost. But this is convertible debt that could be converted to stock, in which case the holders of those newly converted shares don't get paid cash from the company, but instead own a chunk of the company worth more than that cash. So the conversion itself would alleviate the cash demands of the company, while also diluting the ownership stakes of any preexisting owner. That's what that paragraph means.

Companies issue convertible bonds usually because they can get better interest rates on it, in the event that they need to repay it. Or they're happy to deal with diluting their shares if the company becomes so valuable, because that means they've gotten a lot richer and just have to share their newfound riches with the lender.

[–] GamingChairModel@lemmy.world 2 points 11 hours ago

That's the tradeoff, of course. If a company liquidates, it pays its debts first, then its preferred stockholders, then its common stockholders. But each step down the line gives a greater upside in exchange for less certainty in getting paid at all. Bondholders get paid at higher priority, but have the exact amount they get paid defined by a specific mathematical formula. So they won't get any additional benefit from the company becoming super valuable. Or they can get in the back of the line to see what unlimited upside they have from the company's value going up a lot.

Also, Anthropic's bonds aren't exactly low interest. They're right there at the edge between junk bond and investment grade.

[–] GamingChairModel@lemmy.world 4 points 16 hours ago

Usually companies will publish an "earnings before interest, taxes, depreciation, and amortization" or EBITDA as a way to show whether their core business is actually profitable (even if shareholders aren't the ones to get the benefit of that business's operating profit). But that's not a standardized metric, and Generally Accepted Accounting Practices (GAAP) won't define earnings in that way.

The big problem is that the more a company has to deal with high cost of borrowing and huge capital expenditures, the more disconnected EBITDA is from actual GAAP earnings. I can build a hotel for a billion dollars and rent out a bunch of rooms, while each room transaction brings in way more money than it costs for me to have a guy at the front desk give them a key and housekeeping to clean their room, I need to actually make a lot more in order to cover the cost of all the furniture I put in the room, the construction costs on the building, and the interest payments to the bank that financed the whole thing. And if the furniture and the building won't actually last long enough to where I made all my money back before I have to reinvest a bunch of money into renovations and new furniture, then I don't have a profitable business. Or if it can be profitable on those numbers but I can't cover the interest payments to the bank, then the bank will eventually take it over and I'll lose the business entirely, so owning stock in that company isn't worth all that much.

So if they're saying they're barely profitable when you take out the very expensive costs of training new models, entering big expensive deals with data center companies to build out infrastructure, the stock they keep issuing to employees and partners, etc., that might keep things going a bit longer, but it's still not actually a path to true GAAP profitability.

[–] GamingChairModel@lemmy.world 5 points 16 hours ago (3 children)

This right here is how all of this will come crashing down

No, this is pretty normal, and more importantly, doesn't actually cost the company cash. They gave lenders bonds that can be converted to stock, so this loss on their books is pure paper loss, the same way wealth in owning stock in this money losing company is pure paper wealth.

These numbers are just illustration for simplicity, but imagine a company borrowing $20 billion and telling the lender that you'll either pay back the $20 billion plus interest, or they can opt to convert it into stock worth 10% of the company. When the company is worth $100 billion, the bondholders won't convert to stock. But if the value of the company shoots up on paper to where that same stock would be worth $100 billion, the lenders would rather take the stock than the cash repayment. And because it's worth $80 billion more, the company will have to record that on the books as replacing $20 billion in bonds for $100 billion in stock, and an $80 billion loss compared to their last statement.

But look at the underlying financial cash flow. When that happens, the company actually takes $20 billion in debt off their books. They don't have to repay that loan anymore. So it improves their cash flow position at exactly the same time that they're booking a loss.

The whole thing will come crashing down for totally different reasons, relating to operational cash flow, not the actual accounting shenanigans where one kind of paper number gets converted to another kind of paper number.

[–] GamingChairModel@lemmy.world 26 points 18 hours ago

"we lose money on every sale but we make it up in volume!"

Could be any number of things:

  • A law firm might have offered to give legal advice for what to do in response to the cease and desist, but won't agree to represent them in a lawsuit (at least at rates that Nitter can afford).
  • A law firm might have given legal advice about one particular issue, but it didn't comprehensively cover all the legal issues raised by the cease and desist (maybe they gave a legal opinion on the federal law issue but not the Texas law issue).
  • A law firm may have agreed to represent them for a particular price but there was a misunderstanding about how to read the pricing sheet and Nitter can't actually afford to retain that firm.
  • Someone may have lied about being a licensed lawyer and law firm.
  • A law firm may have given advice and then rescinded that advice after the second cease and desist letter.
  • Law firm may have given advice based on erroneous understanding of the facts, and either backed out of representation or modified its advice upon learning the new facts.
[–] GamingChairModel@lemmy.world 8 points 5 days ago (1 children)

Does it?

Reuters is reporting that Anthropic's Investor Day event a few days ago, where they showed their audited Q3 financials to investors, caused institutional investors to shift their sentiment and that they are being pushed to lower their IPO valuation target down from $2 trillion to $1.5 trillion.

Coreweave is down almost 20% this week. Nebius is down more than 15%.

Investor sentiment is shakier than it was a month ago. And for hype-fueled valuations, investor sentiment is a two-way street.

[–] GamingChairModel@lemmy.world 3 points 6 days ago (1 children)

Plus their key founders/executives already left the company to go work for Google in 2024, in an acquihire where Google licenses the technology, hires the key personnel, and leaves the company a shell of its former self.

I wouldn't assume too much from this company, because it's not actually reflective of the broader trends in the industry.

What passkeys can't overcome is people dismissing the popups asking if they want to switch to passkeys or create them.

I think it'd actually be pretty easy. Just ask:

Trust this device, with biometrics?

Most people will say yes on their Apple/Samsung/Google devices.

[–] GamingChairModel@lemmy.world 2 points 1 week ago (1 children)

It's been like 25 years since the security world basically moved on from assuming that users could be trusted to act securely. We gotta design processes and protocols that keep things secure even with people who have bad habits.

I can secure my email, but every email I send or receive touches at least one other mailbox I don't control, of some other user. Same with text messages, social media posts, etc. The digital world we use has a billion overlapping people, some with escalated privileges as employees or admins or mods or whatever. We can't make them perfect, so we should design systems that work well even with imperfect people.

[–] GamingChairModel@lemmy.world 1 points 1 week ago (3 children)

I think you're mixing up compromise of an account with compromise of the data associated with that account.

If a particular piece of data is accessible to people of a dozen accounts, compromise of any of those accounts potentially compromises the data. That's a legitimate concern for people who want certain data secured, whether other accounts with access are also secure. In some cases, it may be best to have an authentication policy that provides a baseline level of protection even for the most clueless users, rather than a system where you're able to secure your own account.

 

In recent years, I've seen people use projectors at night to protest policies: projecting slogans, images, etc., using a normal projector against the wall of the target of a protest (embassies, government buildings, prisons/detainment facilities, corporate headquarters, etc.).

Here's an example, but I've seen lots of other examples. And even outside of protest, people have been doing ridiculous things with 3D projection, like this guy animating a hotel cuck chair (SFW).

This got me to thinking: if the image recognition of Flock and similar cameras is just an AI image recognition function (using ImageNet or something like that) being run on captured video, what's stopping people from projecting false data onto streets and sidewalks in a way that tricks the Flock camera into recording false people/vehicles in places where there was no person/vehicle? Including fake license plates, etc.?

Seems like an attack vector for some kind of denial of service attack, like putting fake faces and license plates all over.

Is there anyone doing this? Would it be possible, at least at night, for certain camera locations and angles?

 

(Note: McSweeney's is a satirical publication)

 

I've read some of Ed Zitron's long posts on why the AI industry is a bubble that will never be profitable (and will bring down a lot of companies and investors), and one of the recurring themes is that the AI companies are trying to capture growing market share in an industry where their marginal profits are still negative, and that any increase in revenue necessarily increases their costs of providing their services.

But some of the comments in various HackerNews threads are dismissive, saying that each new generation of models makes the cost of inference lower, so that with sufficient customer volume, the companies running the models can make enough profit on inference to make up for the staggering up-front capital expenditures it took to build out the data centers, train their models, etc.

It's all pretty confusing to me. So for those of you who are familiar with the industry, I have several questions:

  1. Is the cost of running any given pretrained model going down, for specific models? Are there hardware and software improvements that make it cheaper to run those models, despite the model itself not changing?
  2. Is the cost of performing a particular task at a particular quality level going down, through releases of newer models of similar performance (i.e., a smaller model of the current generation performing similarly to a bigger model of the previous generation, such that the cost is now cheaper)?
  3. Is the cost of running the largest flagship frontier models going down for any given task? Or does running the cutting edge show-off tasks keep increasing in cost, but where the companies argue that the improvement in performance is worth the cost increase?

I suspect that the reason why the discussion around this is so muddled online is because the answers are different depending on which of the 3 questions is meant by "is running an AI model getting cheaper over time?" And the data isn't easy to synthesize because each model has different token prices and different number of tokens per query.

But I wanted to hear from people who are knowledgeable about these topics.

 

Curious what everyone else is doing with all the files that are generated by photography as a hobby/interest/profession. What's your working setup, how do you share with others, and how are you backing things up?

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