EXACTLY @TechCrunch! Apple is taking baby steps because right now that is all we can count on to deliver successfully. This is a solid first effort by Apple focusing on real benefits to users (ex. Siri).
My two cents…
Today's AI LLMs are mostly glorified demos for the really interesting applications. They are turning into a commodity because they're overfunded by FOMO-driven VCs who don't truly understand the technology limitations that drive real application requirements. Hallucinations are a real problem and there is no fundamental way to get rid of them. The expectations of customers are so much higher than what can be delivered today. Remember how everyone ran to fund self-driving cars in 2012-2014?!? It was the NEXT big thing. What do we have 10-12 years later? Think about how many years have past for those efforts to be perfected (and they still aren't yet). We haven't even seen a self-driving car business work yet either. How many billions were spent on that next big thing before reality set in?! AI is VERY similar.
AND worth noting. There are many other approaches to AI that actually work reliably today. While they may not have magical LLM-like capabilities, they are solving very valuable problems and have businesses that work well. It will take many years to get to the AI capabilities we expect, unlike self driving cars, we can start using the right AI today!
Most of us who work on heavily used systems at scale saw this one coming, and that they would propose a rewrite as they just have, and we also don’t think this is the answer.
This is why hubris is a very counterproductive quality in engineering.
Why do we all agree on this?
Tviterji, YouTube predstavitev tipkovnice, pri izdelavi katere ste me spremljali in spodbujali, je zunaj. To je to, the moment of truth, takorekoč.
RT vam prinese spočite prste forever.
https://t.co/j7NmW9da1e
@levelsio@automattic In particular I'd say people leaving @twitter we're putting on a fast track to see how they can help super-charge @tumblr. We can't absorb thousands of people, but I'd be open to hiring entire teams if they already work great together.