r/MachineLearning - Reddit
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r/MachineLearning - Reddit
The problem I've found with all of them is it is difficult to get consistent solid results that you would want to build around. Even listening to podcasts this seems to be a theme with the people at the forefront of MAS LLMs.
r/AI_Agents - Reddit
LLMs are extremely good at a type of knowledge called tacit knowledge (knowledge about something as it pertains to something else) but are extremely poor at pretty much any other type as far as I can see. It just so happens that tacit knowledge also happens to be the type of knowledge that drives natural language so it makes them looks super smart,... See more
Column: These Apple researchers just showed that AI bots can't think, and possibly never will — Apple’s AI researchers gave these AI systems a simple arithmetic problem that schoolkids can solve. The bots flunked.
1) "Vibe coding" is not engineering.Think of it as vibe wrangling - you continuously prompt the AI until it throws together a prototype that is functional looking. But under the hood? The AI has made a lot of silent decisions for you. When you want to take that prototype to production, it needs real engineering: someone who understands the implicat... See more
Watch Sam Altman furiously backpedal. It won’t be long before the rest of… | Simon Wardley | 104 comments
From a software maintenance perspective there is little consensus on how to organize ML projects. It feels like websites before Rails came out: a bunch of random PHP scripts with an unholy mixture of business logic and markup sprinkled throughout.