Recent comments in /f/MachineLearning

blose1 t1_j3zngmt wrote

Nah, It was clearly like this:

Some exec at MS thinks "so company is worth 0 billions now, we already lost 1 billion, so how much is company worth? let me write program to solve this mathematical problem"

uint8 company_value = 0;

company_value = company_value -1;

print(company_value);

"Ok, so company is worth 255 billions now, got it. Guys I know how much OpenAI is worth!"

11

hisglasses66 t1_j3zdurk wrote

They can be confident about the generality, but are they confident about the cash flow? This sounds like a way to buy themselves out of Microsoft, while using their infrastructure to take off. If Microsoft couldn’t pull of Watson - how could they pull this off. Maybe I’m thinking more search based consumers. There’s a lot a lot of enterprise potential. But who’s gonna build all those dictionaries? 10 years for 100B in payback? 15?

−5

LaravelWorkflow OP t1_j3zbcdu wrote

I only pitch to VC's. You're not a VC are you? Why should I give away my business plan to a bunch of strangers? If you don't like the free service then don't use it. If you think it needs improvement then let me know. I'm not interested in armchair investors. Thanks!

EDIT: https://twitter.com/LatentWeb/status/1613362344813273089

−5

RandomCandor t1_j3z608k wrote

> Chat gpt couldn’t even tell me the correct biggest exponent of 2 in a list of 10 items lmfao

You're confusing mathematics and software engineering. It's a very typical junior mistake, nothing to be embarrassed by. Once you've been doing this professionally for 3 decades like I have, you will (probably) not make that kind of dumb mistake.

8

sayoonarachu t1_j3z22kh wrote

Other than tortoise tts as mentioned above, probably best to watch the Microsoft github page. They have a section for vall-e and they do tend to release some of their source codes for their other models.

Might take a while as the paper was just publish like a week and and still says, "work in progress."

https://github.com/microsoft/unilm/blob/master/valle/README.md

3

baaaaarkly t1_j3z0hdh wrote

It seems very likely to me? I thought we are at just the starting point of the impacts of these general AIs and they will keep spitting them out, replace more humans in their jobs and save companies more and more monies at an ever increasing rate.

−8

Non-jabroni_redditor t1_j3yr9cx wrote

Time. The answer is time and risk for why they are spending 10x.

They can spend the next however many years attempting to build a model that is like gpt but is entirely possible it’s just not as good after all of that. The other option is pay a premium with money they have for a known product.

1