Google even said they have no moat, when clearly the moat is people that trust them and not any particular piece of technology.
"In tech, often an expert is someone that know one or two things more than everyone else. When things are new, sometimes that's all it takes."
It's no surprise it's just prompt engineering. Every new tech goes that way - mainly because innovation is often adding one or two things more the the existing stack.
“For each pineapple in my basket, affix a sticker if it’s ripe.”
for p in pineapples:
if p.ripe:
p.append(sticker)
https://github.com/zou-group/textgrad
and bonus, my rant about this circa 2023 in the context of Stable Diffusion models: https://gist.github.com/Hellisotherpeople/45c619ee22aac6865c...
It’s like how we’ve seen basically all gadgets meld into the smart phone. People don’t have Garmin’s and beepers and clock radios anymore (or dedicated phones!). It’s all on the screen that fits in your pocket. Any would-be gadget is now just an app
Thus has it always been. Thus will it always be.
Any reasonably informed person realizes that most AI start-ups looking to solve this are not trying to create their own pre-trained models from scratch (they will almost always lose to the hyperscale models).
A pragmatic person realizes that they're not fine-tuning/RL'ing existing models (that path has many technical dead ends).
So, a reasonably informed and pragmatic VC looks at the landscape, realizes they can't just put all their money into the hyperscale models (LP's don t want that) and they look for start-ups that take existing hyperscale models and expose them to data that wasn't in their pre-Training set, hopefully in a way that's useful to some users somewhere.
To a certain extent, this study is like saying that Internet start-ups in the 90's relied on HTML and weren't building their own custom browsers.
I'm not saying that this current generation of start-ups will be successful as Amazon and Google, but I just don't know what the counterfactual scenario is.
Either you have a smash-and-grab strategy or you are awful at risk analysis.
RobertDeNiro•20m ago