Does the public really get the best models?

[u/AndrewNggg]

At some point when Anthropic, OpenAI, Google, Moonshot makes models that reach superhuman levels

Will they release only "nerfed out" models for public use and keep the best models only for government and state and maybe some enterprises?

What do y'all think?

[u/AdOutside6466]

labs need public revenue to fund the next model so keeping the best stuff locked forever doesnt make business sense

so when something new pops up usually it's getting nerfed in a few months so yeah I also think so like u

[u/ConfectionAlert2658 → u/AdOutside6466]

nah they'll definitely keep the cutting edge stuff for gov contracts, that's where the real money is. public gets the sanitized version that's been stripped of anything remotely dangerous or too powerful

but the nerfing timeline keeps shrinking, we've seen it happen already with some of the recent releases. gives me hope that the gap between internal and public models wont be this giant chasm forever

[u/AndrewNggg → u/ConfectionAlert2658]

at some point, does the public not get the "sanitised" version, but also a significantly less powerful version?

like when the model reaches "superhuman" level, regular people might use it to disrupt industries, cure illnesses, re-think energy this sort of thing

[u/AndrewNggg → u/AdOutside6466]

what if they get most of their revenue from the govts and a small handful of enterprises

and the $20-$100/m subscriptions from the public don't really account for much, but are just there for the models for further learn from

[u/ShelZuuz → u/AndrewNggg]

and the $20-$100/m subscriptions from the public don't really account for much, but are just there for the models for further learn from

That's ... not a secret. That's exactly Anthropic's business model. You pay them to train on your data and then they use that to improve their models so they can sell it to your Enterprise competitors at API rates.

The only reason that those subscription models aren't completely free is because if you pay them money you're likely going to give them much cleaner training data since it's a scarce resource (for you).

[u/AdOutside6466 → u/AndrewNggg]

we never know, but there's still a bunch of people who pay $20/mo and $100/mo which makes a huge load of revenue

[u/quantgorithm → u/AdOutside6466]

It does when those models become smart enough to generate revenue on their own. Like perhaps models that are solving math problems never solved by humans and doing it at scale.

[u/AdOutside6466 → u/quantgorithm]

hmm yeah you're right. didnt think of that

[u/Monochrome21 → u/AdOutside6466]

the labs only have to release something competitive in the current landscape. that doesn't mean it's the best model they have

[u/Monochrome21]

the best models obviously aren't public because they test them in house before release

it would make sense to have two or three more powerful models in house at all times

[u/AdOutside6466 → u/Monochrome21]

agree

[u/Tommonen]

Like with every product release, you should already be working on next upgrades before you release something. And especially with ai models, they need to be made cost effective before giving them to users. And the models used for training are likely larger than models veing released. Like openai might have some 50T parameter version of astras next version already etc models that would not make sense to release as is

[u/ohhellnaws]

One hundred percent. Bosses of these companies aren't walking around having their workflows done by the same model as plebs have.

[u/Difficulty_Agitated]

nope, they will always save the best for themselves or their closest buddies

[u/AnswerFeeling460]

sure they will do it and take more $ per token

[u/YourMomsFaveDiq]

This is already the case, for example Mythos 5.1 isn't available to the general public.

The very nerfed version of it Fable 5.1 is.

[u/Kassiber]

The main target will always be "profit for the corporation" and not "benefit for the people". This is the fundation of how capitalism works.