AI
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AI
AI being smarter than a human is impossible because there are a bunch of ways to be intelligent and no particularly special way to be generally intelligent, i.e., it’s not a scale.
Natural intelligence is inherently multi-layered and deeply ...
The problem for AI is that creative work is not predictable. It is not about statistical likelihood or simply mashing up the familiar—it is about leaps in logic and counterintuitive juxtapositions. It is about the unique experience of the individual, and seeking to do what has never been done before. It is about the least predictable next word or
... See moreTIME • AI and the Rise of Mediocrity
The initial societal reaction to AI is often to think about what existing work could be replaced by AI. Yet, most conversations I have with enterprises are around what *new* things AI can do for that organization that they weren't solving before.
Yes, there's certainly opportunity to automate some of the work that we... See more
Aaron Leviex.comCreators are thinking about AI the wrong way.
Most creators are attracted to AI because they can use it to emulate the work of creators who have more resources.
Finally – an equalizer!
When that becomes true, when you CAN emulate the work of bigger creators,... See more
Jay Clousex.comThe best vertical AI solutions will be like a functional worker who is also a team player: expert in their core task (summarization, for instance), but also diligent in updating the horizontal systems of record that the broader organization relies on
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Google Agentspace JUST WON the AI Game...
youtube.com“A pile of narrow intelligences will never add up to a general intelligence. General intelligence isn’t about the number of abilities, but about the integration between those abilities.”
― Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans
AI as a productivity tool alone is not enough to differentiate.
Everyone can create an AI automation in minutes now.
The true differentiator is using AI as a differentiator and quality improvement tool.
You want to not only capture the productivity gains from AI, that's the least interesting aspect.
You also want to focus on scaling WHILE improving
... See moreBusiness Insider reported on Thursday that Thinking Machines Lab has doubled the target for its seed funding round to $2 billion. The round, should it close according to plan, would value the company at “at least” $10 billion, per Business Insider’s reporting.