The models are already made. They can just run the very useful models they have indefinitely, and they’d be profitable. Or when they go under someone else can buy the rights to the weights.
Anthropic, a common coding model provider, has said that their models generate enough cash to cover their own training costs before the next one is released. If they stopped getting massive investments, they should be able to coast with the models they have.
I look at this as cost savings waiting to happen. Nvidia extorts companies to the extent of tens of thousands for a GPU. Somebody's going to undercut them. At the same time, people are working on optimizations as well. Using cheap CPUs for inference instead of expensive GPUs. Doesn't work for anything but if your model is small enough you can get away with it. Using lower bit quantization makes the models cheaper to run. Using hacks like prompt caching makes subsequent calls more efficient. Etc.
Your base assumption is that it is expensive and therefore these companies will eventually fail when they keep on making less money than they are spending. The reality is that they are indeed spending enormously now and making a lot of very non linear progress. At the same time a lot of that stuff is being widely published and quite a lot of it is open source. At some point you might get consolidation and maybe some companies indeed don't make it. But their core tech will survive. Investors might be crying in a corner. But that won't stop people from continuing to use the tech in some form or another.
I already have a laptop that can some modestly largish models locally. I'm not going to spend 40K or whatever on something that can run a GPT 5 class model. But it's not going to cost that in a few years either. This tech is here to stay. We might pay more or less for it. The current state is the worst it is ever going to be. It's going to be faster, bigger, better, cheaper, more useful, etc. At some point the curves flatten and people might start paying attention to cost more. Maybe don't burn a lot of gas in expensive and inefficient gas generators (as opposed to more efficient gas power plants) and maybe use cheap wind/solar instead. Maybe get some GPUs from a different vendor at a lower price? Maybe take a look at algorithm efficiencies, etc. There is a lot of room for optimization in this market. IMHO surviving companies will be making billions, will be running stuff at scale, and will be highly profitable.
Maybe some investors won't get their money back. Shit happens. That's why it's called venture capital. The web bubble bursting didn't kill the web either.
One reason why they're not the same is because the memory representation is different (sort of). This will break FFIs if you allow reordering the tuple arbitrarily.
If it’s things like CJD or other prion diseases then it’s true they don’t test, but AIDS, hep C, and other common blood borne diseases? They’ve been screening every donation since the 80’s.
I wrote a small thing for adding a `#doc List.find` directive. However, I don't maintain it anymore since I think it doesn't see much use and it's work to keep up on OCaml compiler internals changes (and it's my impression it never picked up much adoption). https://github.com/reynir/ocp-index-top
In an electric car? Really? I don't know too much about electric cars, but it's my impression that gears and transmissions are completely unnecessary in an electric car. Please correct me if I am wrong.
This is a nitpick for sure, but as I understand it, electric motors provide pretty much constant torque throughout their operating range, which is one of their benefits. It's the speed of the motor that varies, and consequently the power, which is a function of torque times speed.
No, electric motors exert the most torque at zero RPM. That's where you can put the most current through the coil, because there's no back-EMF. It's why EVs are so zippy from a stop. The torque-speed curve is a straight line, with 0 torque at max RPM and a constant power.
For synchronous motors. Induction motors (like the auxiliary/dual motors used on something like the Chevy Equinox EV) have a different torque/speed characteristic.
I believe multi-motor EVs sometimes tune the motors to different uses, switching between one or the other (or both) to provide a similar effect as a gear shift.
this is a cost savings feature that was enabled by electric motor torque at low speed and the consumer's willingness to sacrifice high speed operation to focus on city driving.
electric motors hugely benefit from gearboxes, they're not used as a means to simplify and encheapen.
> For example, if you are using a recent version of OpenSSH, you
may wish to explore using the ServerAliveInterval and
ServerAliveCountMax options to have the SSH client exit if it
finds itself no longer connected to the server. In many ways
this may be a better solution than the monitoring port.
Take a look at how ridiculously much money is invested in these tools and the companies behind them. Those investments expect a return somehow.
reply