AI companies are pivoting from creating gods to building products
AI companies are shifting from model development to practical product creation, addressing market misunderstandings and facing challenges in cost, reliability, privacy, safety, and user interface design, with meaningful integration expected to take a decade.
Read original articleAI companies are shifting focus from developing advanced models to creating practical products, addressing concerns that the generative AI sector may be a bubble. Despite a collective investment of a trillion dollars in hardware and data centers, tangible results have been limited. The initial excitement surrounding AI tools like ChatGPT led to a misunderstanding of market needs, with companies either overemphasizing model development or hastily integrating AI into existing products without proper consideration. This has resulted in a poor public perception and unreliable user experiences. Companies like OpenAI and Anthropic are now recognizing the importance of product-market fit and are transitioning towards a more product-oriented approach. However, they face five significant challenges: cost management, reliability, privacy concerns, safety and security issues, and user interface design. These challenges are sociotechnical in nature, requiring more than just technical solutions. The expectation is that meaningful integration of AI into consumer products will take a decade or more, rather than the rapid advancements often predicted.
- AI companies are moving from model development to product creation.
- Initial excitement led to misunderstandings about market needs and product reliability.
- Five key challenges include cost, reliability, privacy, safety, and user interface design.
- Companies are beginning to adapt their strategies to focus on user-friendly products.
- Significant progress in AI integration is expected to take a decade or more.
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The idea that a company is an AI company should be as ridiculous as a company being a Python company. "We are Python-first, have Python experts, and all of our products are made with Python. Our customers want their apps to have Python in them. We just have to 'productize Python' and find the right killer app for Python and we'll be successful!" Going at it from the wrong direction. Replace Python in that quote with AI, and you probably have something a real company has said in 2024.
This is the fundamental problem that prevents generative AI from becoming a "foundational building block" for most products. Even with rigorous safety measures in place, there are few guarantees about its output. AI is about as solid as sand when it comes to determinism, which is great if you're trying to sell sand, but not so great if you're trying to build a huge structure on top of it.
It's all well and good to say "Make something people want" but for anything that people want usually one of three things is true
1. Someone else is already making it.
2. Nobody knows how to make it.
3. Nobody knows that people want it.
People experimenting with 2 and 3 will have a lot of failures, but the great successes will come from those groups as well.
Sure, every trend in business has a lot of companies going "we should do this because everyone else is" It was a dumb idea for previous trends and it is a dumb idea now. Consider how many companies did that for the internet. There were a lot of poorly thought out forays into having an internet presence. Of those companies still around, they pretty much will have an internet presence now that serves their purposes. They transition from "because everyone else is" as their motivation to "We want specific ability x,y,&z"
Perhaps the best way to get from "everyone else is doing it" to knowing what to build is to play in the pool.
But AI has always been a secondary augmentation to the product itself. It’s a tool, it shouldn’t be the other way around.
We initially were developing a system that we had hoped could handle everything and eject any workflow issues to a human so the operations team could kick the machine. We were hoping to avoid an interface all together on the customer side.
After a few versions and attempts at building this system, we moved towards a traditional app where we focused on building a product people wanted and automate parts of it over time. But even the parts we automated needed an interface for customers to spot check our work. So we found a great designer.
...Before we knew it, we were building a traditional company, with some AI. The company is doing well and people love what we're building, but it's different than we imagined.
We still believe in the long term vision and promise of the technology, but the article is right, this isn't going to be an overnight process unless some new architecture emerges.
In the mean time, we're focused on helping people get from A to B easily using whatever means necessary, because moving f**ing sucks. If you're moving soon or know anybody who is, we'd be happy to help them. -P
It's okay, I mean even the internet started out as Charlie_Bit_Me.avi and free porn.
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