GPTs are distractions. Now's a great time to aggressively pursue something else.
Which kinds of GPT startups will thrive?
61–70 of 87 posts
Re: Which kinds of GPT startups will thrive?
#62Earlier quoted context omitted.
Uh you could make the same accusation about processors or cloud or any base technology. I think your view here is stunningly naive. Fine tuning GPT4 produces real and tangible differences let alone building an interface for specific workflows.
have you found examples of new products with successful distribution using fine tuning
I mean, you aren't going to finding massively successful products in a matter of months -- people here are being very unrealistic. I'm just saying it works.
Re: Which kinds of GPT startups will thrive?
#63Earlier quoted context omitted.
Then one day Google tweaks their model in an unfortunate way and you fall all the way down that vertical.
Can you give an example?
A large majority of SaaS businesses can be done for free with an Excel spreadsheet, but many of them are still making millions a year.
Re: Which kinds of GPT startups will thrive?
#64Earlier quoted context omitted.
In theory the same was true about the SaaS wave and the mobile wave. In practice, many startups have built valuable businesses around things that Google could've done, but didn't do successfully. The same will be true in the AI wave. In theory, FAANG-co could do it. In practice, they can't. The exceptions to this will be the things where the winner is determined by a dimension that Google will always win on. In pract…
> In theory, FAANG-co could do it. In practice, they can't. It's usually more that FAANG doesn't believe in that product. MS & Blackberry seemed pretty certain that keyboardless smartphones (the iPhone) weren't the future. That turned out to be a really bad bet.
Or that the particular vertical just isn't big enough to warrant their focus. A $20m MRR is great for a small SaaS but isn't worth the time of any FAANG.
Re: Which kinds of GPT startups will thrive?
#65I'm surprised how long the "solution in search of a problem" trend has dominated tech product design, despite obvious and repeated failures of this approach to produce results. AI/ML products fundamentally don't make sense compared to products that happen to use some AI/ML to aid in solving a problem. It's sort of like loving to use redis (which I do) and thinking you want to found a company based on using redis in t…
I'm not too surprised the trend persists, if I just follow the money. People like to bet on new(-ish) technologies and hypes, hoping to be the first in some brave new world - like with personal computers, the internet and mobile.
Didn't quite work for crypto or VR. I think that's partly because the economy changed: I don't remember such an insane amount of companies chase money so quickly with those earlier examples. For a long time there were lots of people just playing and tinkering with the new thing for fun, not immediately trying to get rich (even mobile, I fondly remember having PDAs long before there was an iPhone, tinkering with them and hanging out on XDA developers). If everyone is primarily trying to make money off something right from the get go instead of primarily trying to build something useful, I can see how adoption suffers. Bit of a catch 22.
Re: Which kinds of GPT startups will thrive?
#66Earlier quoted context omitted.
Then one day Google tweaks their model in an unfortunate way and you fall all the way down that vertical.
The same can be said of any of their service offerings. You could build a business around something MS/Oracle/Google provides and they could one day decide to deprecate it.
Anything a SaaS platform provides can be replicated in-house. The same can't be said for a bleeding-edge 10 billion dimensional model.
Re: Which kinds of GPT startups will thrive?
#67Earlier quoted context omitted.
For example? Looking at killed by google I don’t see any obvious examples
Many of these https://en.wikipedia.org/wiki/List_of_unicorn_startup_compan... could've been in theory done (to the point that there was no room for a multi-$b startup) by Google (Canva, Instacart, Telegram, Miro, Airtable), but weren't.
This is a good list, but most of these Unicorns were product of zero interest rates. The valuations are down, we just don't know how much and some of the companies on the list are already bankrupt like Voyager. Read here [1] about the astonishing rise of the unicorns in the last 3 years.
Also a billion $ unicorn is not the same as billion $ revenue.
[1] https://wolfstreet.com/2023/04/26/what-are-we-going-to-do-wi...
Re: Which kinds of GPT startups will thrive?
#68What kind of deep learning startups survived or thrived? The underlying technology (of gpt et al) is racing towards being a commodity. There are very few "pure play" "AI" companies left from the deep learning wave, and what few there are pivoted to become SaaS with some ML features. Something similar will happen here. Companies that solve a business pain point, irrespective of whatever "AI" will get somewhere.
I wonder if the issues around owning of training data may allow larger, well funded companies to acquire ownership (for example, buying stack overflow content). This might allow larger players to starve smaller players.
Re: Which kinds of GPT startups will thrive?
#69ChatGPT's summary of the main points:
| Point | Category | Examples |
|--------------------------------|--------------|---------------------|
| Real/Usable Objects | Value Peak | Software coded |
| | | using GPT, hardware |
| | | products developed |
| | | with GPT-enhanced |
| | | requirements |
|--------------------------------|--------------|---------------------|
| Experiences | Value Peak | GPT-generated music |
| | | tailored to your |
| | | taste, personalized |
| | | bedtime story, role-|
| | | playing game |
|--------------------------------|--------------|---------------------|
| Solving Personalized Problems | Value Peak | Suggesting recipes |
| | | based on your fridge|
| | | contents, creating |
| | | personalized |
| | | worksheets for |
| | | students, etc. |
|--------------------------------|--------------|---------------------|
| In-Context & Collaborative | Basin of | Platforms requiring |
| Features | Success | collaboration, like |
| | | Figma or Google Docs|
| | | enhanced with GPT |
|--------------------------------|--------------|---------------------|
| Gated Knowledge/Data | Basin of | Company-specific |
| | Success | data, domain-specific|
| | | data, complex-to- |
| | | parse data |
|--------------------------------|--------------|---------------------|
| Edge Computing / Offline Use | Basin of | Applications running|
| Cases | Success | locally for privacy |
| | | reasons or specific |
| | | offline use cases, |
| | | like personal |
| | | assistants |Re: Which kinds of GPT startups will thrive?
#70Not many of them. Google or Microsoft can see what works for these startups and then put it in their own products. If you don't own the model, you don't have a safe business.
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