The key question here isn’t so much whether GPT-4 beats the actual human decks as much as what it had to fabricate to do so. The humans are probably constrained by things like “reality” and “what their business has done in it” while GPT-4 could make up anything it wanted. A fair comparison would be to humans given the same prompt and told to invent whatever facts they wanted.
Great point! Since they are not showing the decks, for all we know these GPT4 pitches may have been proposing they found a cure for cancer.
GPT-4 Outperforms Humans in Pitch Deck Effectiveness
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Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#22In my experience having pitched to VC's it's not that there is a perfect deck but many really bad ones. I.e. there is diminishing returns on a "perfect" pitch deck. You just want to be in the category of not sucking and the decks level of perfection is no longer important. Today I would even go as long as to say the pitch deck is much less important than a demo. You can in theory pitch in an email, the rest is just t…
Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#23The ones I've seen looked more like low-quality ICO pitch decks ;)
Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#24The key question here isn’t so much whether GPT-4 beats the actual human decks as much as what it had to fabricate to do so. The humans are probably constrained by things like “reality” and “what their business has done in it” while GPT-4 could make up anything it wanted. A fair comparison would be to humans given the same prompt and told to invent whatever facts they wanted.
You clearly know different founders than I do.
Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#25I find it weird to compare GPT-4 to not expert humans (which this did - they seemed to have just sampled pitch decks for funded companies). GPT-4 generally will beat non-experts. What you want to see is a comparison to say pitch deck consultants - it's also more useful to evaluate whether AI or a human should help you build one. This does suggest at minimum though that if you are a founder that GPT-4 will likely prov…
If a company was funded, doesn't it mean that pitch deck was successful?
You can often just get funding by having a good team matched to a VC that knows your industry. Pitch deck can be crap and other VCs might hard reject.
Another potential methodology flaw is that they don't seem to group decks by VC industry. I definitely altered my deck for different VCs, in ways which could make it a worse deck for the "average VC". GPT-4 might be better at setting context that industry expert VCs don't need - meaning this isn't even comparing like and like.
Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#26Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#27The key question here isn’t so much whether GPT-4 beats the actual human decks as much as what it had to fabricate to do so. The humans are probably constrained by things like “reality” and “what their business has done in it” while GPT-4 could make up anything it wanted. A fair comparison would be to humans given the same prompt and told to invent whatever facts they wanted.
Ideally the most important thing in a pitch deck are the actual facts and substance, not the presentation and storytelling.
So what are the facts used?
Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#28Earlier quoted context omitted.
Great point! Since they are not showing the decks, for all we know these GPT4 pitches may have been proposing they found a cure for cancer.
"In addition, my plan guarantees every child a free kitten or puppy, along with the aforementioned immortality."
Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#29Re: GPT-4 Outperforms Humans in Pitch Deck Effectiveness
#30This says more about VC's than it does about AI
I'm in agreement regarding more . But I think it also says something about clear messaging and how many people struggle with that. It's actually consistent with YC advice. They say most pitches fail to even convey what the hell they are doing and what problem they are solving. I suspect a language model will get that part across rather well.
It’s asking a lot to recognize a real transactional moment, codeswitch, and present effectively to the narrow goal. Even then, the narrow goal (maximize the chance of external funding) might be misaligned with the broad personal goal (don’t overcommit… on fucking anything).
A robot can just maximize on the funding result. It didn’t spend its whole career being lectured in circles about the next “one-corpco initiative” that will replace everybody’s SAP front-ends or whatever.