ChatGPT is very useful for me to the point that I pay subscription fee. To me it IS the product.
AI companies are pivoting from creating gods to building products
41–50 of 210 posts
Re: AI companies are pivoting from creating gods to building products
#42Earlier quoted context omitted.
I've made this statement a bunch in other mediums: The reason AI software is always "AI software" and not just a useful product is because AI is fallible. The reason we can build such deep and complex software system is because each layer can assume the one below it will "just work". If it only worked 99% of the time, we'd all still be interfacing with assembly, because we'd have to be aware of the mistakes that were…
But software works only 99% of the time. For some definition of work: 99% of days it's run, 99% of clicks, 99% of CPU time in given component, 99% of versions released and linked into some business' production binary, 99% of github tags, 99% of commits, 99% of software that that one guy says is battle-tested
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Re: AI companies are pivoting from creating gods to building products
#43> But when developers put AI in consumer products, people expect it to behave like software, which means that it needs to work deterministically. If your AI travel agent books vacations to the correct destination only 90% of the time, it won’t be successful. This is the fundamental problem that prevents generative AI from becoming a "foundational building block" for most products. Even with rigorous safety measures i…
And yet, generative AI also seems to be poor at randomness. When I ask Google Gemini for a list of 50 random words, it gave me a list of 18 unique words, with 16 of them repeated exactly 3 times.
Abyss: 1 Ambiguous: 3 Cacophony: 3 Crescendo: 3 Ephemeral: 3 Ethereal: 3 Euphoria: 3 Labyrinth: 3 Maverick: 3 Melancholy: 3 Mellifluous: 3 Nostalgia: 3 Oblivion: 3 Paradox: 3 Quixotic: 1 Serendipity: 3 Sublime: 3 Zenith: 3
Re: AI companies are pivoting from creating gods to building products
#44depends on your definition of "good." if good means creating the next generation of recommendation algorithms that result massive technology addiction and a mental health crisis, then yeah
Re: AI companies are pivoting from creating gods to building products
#45> But when developers put AI in consumer products, people expect it to behave like software, which means that it needs to work deterministically. If your AI travel agent books vacations to the correct destination only 90% of the time, it won’t be successful. This is the fundamental problem that prevents generative AI from becoming a "foundational building block" for most products. Even with rigorous safety measures i…
It just needs to beat all the other non-deterministic processes at accuracy.
Call centre workers are often dreadfully inaccurate as well. Same with support engineers.
Heck even for banking, there are enormous teams fixing every screw up made by some other employee.
Re: AI companies are pivoting from creating gods to building products
#46Companies keep going at it the wrong way. Instead of saying "We have AI, let's find products we can make out of AI!" they should be saying, "What products do people want, let's use whatever tools we have (including maybe AI) to make them." 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 wi…
This has been the case for decades. Look at the internet and .com’s. Mobile. Etc.
It really is one of the more effective ways to identify a bubble when companies shift to selling themselves on the tools and technology they use rather than the problem they are solving.
Re: AI companies are pivoting from creating gods to building products
#47> But when developers put AI in consumer products, people expect it to behave like software, which means that it needs to work deterministically. If your AI travel agent books vacations to the correct destination only 90% of the time, it won’t be successful. This is the fundamental problem that prevents generative AI from becoming a "foundational building block" for most products. Even with rigorous safety measures i…
I've made this statement a bunch in other mediums: The reason AI software is always "AI software" and not just a useful product is because AI is fallible. The reason we can build such deep and complex software system is because each layer can assume the one below it will "just work". If it only worked 99% of the time, we'd all still be interfacing with assembly, because we'd have to be aware of the mistakes that were…
You hit the nail. It's been almost tragically funny how people frantically tried to juggle 5 bars of wet soap in recent 2 years solving problems that (from what I've seen so far) have been already solved in a (boring) deterministic way consuming much less resources.
Going further, our predecessors put so much work into getting non-deterministic electronics together providing us with a stable and _correct_ platform, it looks ridiculous how people were trying to squeeze another layer of non-determinism in between to solve the same classes of problems.
Re: AI companies are pivoting from creating gods to building products
#48> But when developers put AI in consumer products, people expect it to behave like software, which means that it needs to work deterministically. If your AI travel agent books vacations to the correct destination only 90% of the time, it won’t be successful. This is the fundamental problem that prevents generative AI from becoming a "foundational building block" for most products. Even with rigorous safety measures i…
structured outputs help, paired with regular old systems design I think you can get pretty far. it really depends what you're building though. >If your AI travel agent books vacations to the correct destination only 90% of the time that would be using the wrong tool for the job. an AI travel agent would be very useful for making suggestions, either for destinations or giving a list of suggested flights, hotels etc, a…
i 100% percent agree. people get so caught up on trying to do everything 90% right with AI, but they forget there's a reason most websites offer at least 2 9's of uptime.
Re: AI companies are pivoting from creating gods to building products
#49Companies keep going at it the wrong way. Instead of saying "We have AI, let's find products we can make out of AI!" they should be saying, "What products do people want, let's use whatever tools we have (including maybe AI) to make them." 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 wi…
I don't entirely disagree with you, but "what products do people want" is overly conservative. Pre-ChatGPT, very few people wanted a (more or less) general purpose chatbot.
Re: AI companies are pivoting from creating gods to building products
#50> But when developers put AI in consumer products, people expect it to behave like software, which means that it needs to work deterministically. If your AI travel agent books vacations to the correct destination only 90% of the time, it won’t be successful. This is the fundamental problem that prevents generative AI from becoming a "foundational building block" for most products. Even with rigorous safety measures i…
And yet, generative AI also seems to be poor at randomness. When I ask Google Gemini for a list of 50 random words, it gave me a list of 18 unique words, with 16 of them repeated exactly 3 times. Abyss: 1 Ambiguous: 3 Cacophony: 3 Crescendo: 3 Ephemeral: 3 Ethereal: 3 Euphoria: 3 Labyrinth: 3 Maverick: 3 Melancholy: 3 Mellifluous: 3 Nostalgia: 3 Oblivion: 3 Paradox: 3 Quixotic: 1 Serendipity: 3 Sublime: 3 Zenith: 3
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