Apple & General Magic: How Focus And Constraints Lead To Success

 Apple & General Magic: How Focus And Constraints Lead To Success

a scientific paper and it'll make like a app showing all the other papers that cite it and it'll try to automatically

sort them into those that agree and disagree and it really helpfully will show the snippet of how that the target

paper was cited in these other ones that I used to have to spend like go sit in a

research library and be doing that by like scanning down a paper to find that so it's like a day now is an hour so and

I love that like if that means my books don't sell as well but I get to learn 10

times as science that's a trade-off I'm definitely willing to make personally I'm not saying everyone should be

willing to make that but I'm willing to make that tradeoff but in terms of work generally being

disrupted yeah I mean I think the the model that I think of for sort of there's no singular model but for how

technological innovation has disrupted work in the past a model that I like that I can tell

sort of quickly is the introduction of the ATM in in the United States happened around

1970 uh so cash machine mhm um and I went back and looked at news coverage

and it says like every uh you know 300,000 bank tellers are going to go out

of business overnight and instead what happened over the next 40 years as there were more ATMs there were more bank

tellers not fewer because ATMs made branches Bank branches cheaper to operate so there are fewer uh branches

overall a fewer tellers per Branch but more branches overall sorry um but it fundamentally changed

the job from someone who's doing these repetitive transactions repetitive cash transaction to someone who's like a

marketing professional and a customer service representative and uh you know maybe a financial adviser it shifted

them to these strategic goals where it's much broader mix of strategic skills so if we can

Outsource some of that Kinder learning environment repetitive stuff to shift humans to being more strategic I think

that's like a good thing right we think about I I know Radiologists have been some of the people deal with medical

imaging have been some of the people who have often in these reports by banks that say who's going to be replaced they're often high on the list because

they say the technology can you know read these pictures very easily radio just looks at a scan and tells you if you've got a cancer or something yeah

but first of all I have yet to hear the problem of like wow too many people are having too easy access to Radiology

right like I think we want more of this service but I think most doctors are not doing doctor house you know most of the

stuff they're seeing is something they've seen a million times and I think

a really important role for them is strategic of well what should this mean to the person how should I deal with them and what what's reasonable to

implement in their life and what's feasible for them to do to make a change and so I think it'd be great if we could

Shi I don't think it will replace those doctors I think it might shift them to a more strategic role where they don't have to spend time doing the sort of

more tactical stuff and can do the more strategic stuff so that's that's been e even in even in chess you know like

when well like when when IBM's deep blue beat Gary casprov in chess in 1997 and

he noticed that it beat Gary casprov he was so much better when he was he was the best in the world at the time now

like a free app on your phone would be Gary casprov but and he noticed the computer was so much better at tactics

these are these like small patterns of moves that he had spent his life memorizing but he noticed it wasn't as good at strategy which is how to arrange

the battles to wage the war so he promoted what he called freestyle chess tournaments where humans and computers

could play in any combination and the winners were neither supercomputers nor Grandmasters nor grandm with

supercomputers two amateur chess players with three laptops they knew something about Chess they knew something about

algorithmic search and they could coach the computers where to look like they couldn't even analyze their own games in