Every few months this needs to be restated and because at every turn and every improvement it becomes more and more self evident. And we simply shouldn't be oblivious to the reality of the physics involved and ignore the reality that is plainly in front of us
Here's everything in a nutshell:
Application wrapper approaches to AI are making up for current generation model capability gaps. The surface area available to apps/agents/wrappers (whatever you want to call them) is essentially the surface area the models don't *currently* do that great at. As those models become more capable, the surface area available to apps becomes thinner, sparser, and much less distinguishable as "differentiated". Essentially apps all get pushed to the same surface area at the same time
Meaning: value has and will accrue to the agi companies (as I talk about them in the QT below) and *only* becomes stronger as those models become more capable. This evolves 10x as those agi companies realize they have to own their own full stack and build vertical approaches (which we have finally seen evidence of from openAI)
This is so painfully obvious it cannot be understated. Any other thinking here misses macro picture and attempts to maximize micro along local incentives
Intellectually we know this as industry and we already have prior art on this from previous AI model generations (ie this current wave). Any (all?) apps/agents that wrapped GTP2 got wiped out/mostly become irrelevant with GP3, same for GPT3 wrappers with GPT4, same with....etc etc (and if we looked back at other platform shifts in history, we see the same thing play out in rhyming patterns)
The surface area for things that wrap become smaller and weaker. Doesn't mean there isn't money to be made, doesn't mean there aren't great founder exits to be had, and doesn't mean there aren't good investments to be found. What it does mean though is one must *really* understand what is stone and what is sand. Most things are sand and will be washed away
And here's the key, there are always gaps for companies to be built, even great ones. You simply have to navigate to white space that the agi model companies don't care about as much *and* find that surface area where the model getting 10x better can't do the work natively
Here's a thought exercise. Imagine it's 2006/2007. You have the ability to put $1m into an independent company called AWS or Azure or GCP. Now, you also have perfect forward looking insight into the top 10 biggest venture backed startups built on AWS/Azure/GCP all the way to 2025. Where would you rather put your money, time, energy, and effort?
One could Invest in one or all of those three mega platforms that power nearly every other company on the planet, or into those 10 biggest winners built on the new platforms. There is no right or wrong answer here fwiw, just inclination. Some people will be drawn to investing in apps for a variety of reasons, some people will be drawn to investing in the mega entities powering those apps. Each has pros and cons and both have their own version of upside, though obviously upside disproportionately skews to the mega platforms
And the same goes for builders. Some want a shot at building something that could end up changing everything at once and become new bedrock for next layer, and some have see ways to use that new tech layer to solve more specific problems, perhaps with a discrete focus. No wrong answers, just viewpoints. We need both, though let's not confuse what is happening
So, tl;dr - It is as it has always been. Which is also an inconvenient truth. Several super successful players chasing something immensely large, probably uncomfortably large, will end up being foundational tech for everything else in the world, thereby cementing a new platform layer upon which the next generation of interesting applications and narrower use-cases can be built. And hence, a new era is born
History rhyming
Have a long flight so time to do a thread on a question I get in some form at least half dozen times a week
Where will value accrue in AI from here
Think: foundation models, apps, middleware, full-stack blah blah blah etc