Very much so! Unfortunately, they're still vaporware.

Or more accurately, I'd very much like a $10k BYD, but Detroit has bought DC wholesale to block any meaningful competition for Ford's Coal Roller 150.

That puts you on an iPhone 7 at the highest. iOS 15 is the oldest version installable on those, and not by coincidence, also the oldest iOS still receiving security updates. It was released five years ago as of September 20th.

So while you're 100% technically right... You might want to start planning for a new phone before October.

I bought a Ford F-150 XLT (the full-hybrid pickup) and was very disappointed to find that several of the features (Including Blue Cruise and navigation) were subscription-based with an initial free period of a year or so.

Other than that the vehicle is fantastic - but was very pricey when I bought it, so having to pay over and over for the features was a very annoying surprise. (They quit working rather than quit updating when the subscriptions run out.)

... a bunch of cancer progression theories based on cell culture progression had to be thrown out when it was discovered that the cultures were being contaminated by a particularly robust and aggressive cancer cell culture, HeLa, which had contaminated lab equipment like environmental chambers or survived equipment sterilization and eventually took over culture lines in labs.

On the whole you're right because we simply don't know how to do it yet.

The GP isn't entirely wrong, though - It's also safe to say more training data is needed. Model weights vs training data follow a pretty clear power law, and current top models are already orders of magnitude underdetermined for their number of weights. Problem being, the current data set being used by the major players is effectively the sum total of all digitally-available human knowledge.

Unsupervised training is the hot new thing, but it doesn't really matter much if there's no more data for the AIs to find on their own.

Anthropic just accepted a USD$1.5 Billion court settlement for using illegally-acquired copyrighted content as training data.

Which side is not cheating here?

Bluntly, they can't. That genie is already out of the box for anything already available; and even going forward - Unless China itself blocks export, there's no realistic way to stop us from using a non-Chinese non-US mirror to grab them.

Realistically, hardware is the sole limiting factor for open-weight models, so restricting H200's is probably the closest we can come to a meaningful embargo. There's no practical way for most of us to run a model like Kimi K3 with almost 600GB (at BF16) of weights. Even using CPU offloading and/or multi-GPU sharding (if those are even possible for K3, I haven't looked at it in depth yet), the performance drop would give a throughput best measured in minutes or even hours per token, not particularly useful.

What this will accomplish is exactly what the OP quoted - It won't be possible to run these legally, so virtually all commercial use would be DOA. Joe Hobbyist couldn't care less though.

From my perspective, GM suffers from the delusion that they are the market leaders that every other company should follow. One of my coworkers worked for GM. They offer employees discounts to buy GM cars. But the discounts are very small and laden with so many restrictions, it is not worth using. She could walk into any dealership as a member of the general public and get a better deal as she could not take the discount and take whatever incentive the dealership was offering (interest rates, discounts, etc.). That does not take into account that GM cars are not the best when it comes to consumer ratings, safety ratings, etc. In the end she bought a better car from another manufacturer, but management treated her acting for her own self interest as some sort of betrayal.

Only if narrowly defined "errors" to mean whatever you want it to mean. From all the times I used AI to generate code, individual lines of code were fine. But combined, the code would not run. For example I asked it to create Python code. It returned "array(i)" in a line. However the correct code for that section should have been "array[i]" as it was supposed to calling a value in an array.

Because what amounts to a simple financial breach of contract is being enforced unilaterally and extra-judicially - And by parties traditionally known for being some of the sleaziest and least ethical bastards on the planet at that.

In a situation where the burden of proof is on the lender and the disruption to the customer's life severe, we should absolutely not be allowing ScumCo Lending to pull that trigger absent a court order.

To be clear, I'm not claiming there's no precedent for this (and when we're talking about microwaves and TVs, hey, pay up deadbeats!). But phones are unique in that it's virtually impossible to function in the modern world without one. Personally, I might get two calls a week and missing those wouldn't disrupt me much; but I literally can't even log in at work without an MFA app tied to my phone.

The promised advantage of AI replacing humans was AI could do it better and cheaper than a human. What companies are finding out is "better" is not always true. The other problem is "cheaper" only applied to the introductory pricing rates that AI companies used to get customers. As these companies need to start showing profit, the new rates makes replacing humans more expensive not less expensive.

I was actually wondering exactly the opposite - If this only works for three satellites per launch, would it be overall cheaper and easier to just launch three new satellites? Not to mention, the tech on a new satellite is likely far better than was available ten+ years ago.

Sure, it's one launch vs three, but moving between different orbits and physically latching on to another satellite is delicate work. I wouldn't be surprised if, on average, one of those three attempts went catastrophically wrong.

As someone who demands my devices are my devices, this is complete unacceptable.

As an investor, though - Let's be serious. This is an extension of the "buy here pay here" model loved by used car scammers everywhere to prey on those who can't really afford it but need one anyway. And those are stupidly profitable, because what are people going to do, just not have a car / phone?

It's morally repugnant but fiscally a slam-dunk.

16kloc is a small project.

I should soften what I said before: You can get away with seat-of-the-pants work if one or more of: (a) your projects are small, (b) your projects are non-critical or (c) you invest in massive testing and validation.

In my old job, if I made one kind of mistake it could prevent three billion Android devices from being able to boot. If I made a different kind, it could result in the same number of devices being insecure against data extraction and other attacks (of course, OEMs often made those mistakes for me). In my new job, if I make mistakes vehicles can crash and people can die.

I want all the help the tooling can give me, and I spend a fair amount of my time building additional tools to prevent mistakes. None of it eliminates the need for testing, of course, especially when lives are on the line, but bugs that get caught by the compiler cost almost nothing. Bugs that get caught by QA, or, far worse, in the field, are very expensive.

Note that there are big systems built in Python. Instagram has millions of lines of Python code. They also mandate explicit type declarations everywhere and they built their own static typechecker, Pyre. Lots of other people have built typechecking libraries and tools for Python, trying to fix that problem. Maybe the next time I write Python I should try some of those tools.

Though I probably won't ever write any Python again. I really only use it for quick and dirty scripts, and these days I tell AI to write those for me, and I don't even bother to read the code. If it works, fine. If it doesn't, I tell the LLM to figure out why, and fix it.

I might have agreed with you 20 years ago.

The rise of modern streaming all but ended music piracy because a cheap and easy legal option is available. We have proof of concept, this is effectively a settled issue.