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**How to put it into action**:
• Block time for leisure like you block time for work
• Use a timer to ensure you take breaks in frequent intervals
• Adopt healthy work-life balance boundaries to imbibe play into your workday
7 Science-Backed Actionable Tips to Improve Your Focus
sunsama.com
The Tralfamadorians, according to Salo, manufactured each other.
No one knew for certain how the first machine had come into being.
The legend was this: Once upon a time on Tralfamadore there were creatures who weren’t anything like machines.
They weren’t dependable.
They weren’t efficient.
They weren’t predictable.
They weren’t durable.
And these poor creatures were obsessed by the idea that everything that existed had to have a purpose, and that some purposes were higher than others.
These creatures spent most of their time trying to find out what their purpose was.
And every time they found out what seemed to be a purpose of themselves, the purpose seemed so low that the creatures were filled with disgust and shame.
And, rather than serve such a low purpose, the creatures would make a machine to serve it.
This left the creatures free to serve higher purposes.
But whenever they found a higher purpose, the purpose still wasn’t high enough.
So machines were made to serve higher purposes, too.
And the machines did everything so expertly that they were finally given the job of finding out what the highest purpose of the creatures could be.
The machines reported in all honesty that the creatures couldn’t really be said to have any purpose at all.
The creatures thereupon began slaying each other, because they hated purposeless things above all else.
And they discovered that they weren’t even very good at slaying.
So they turned that job over to the machines, too.
And the machines finished up the job in less time than it takes to say, "Tralfamadore."
The Sirens of Titan
Kurt Vonnegut
it’s important to realize that **ChatGPT and LaMDA aren’t trained to be correct**.
You can train models that are optimized to be correct—but
that’s a different kind of model.
Models like that are being built now;
they tend to be smaller and trained on specialized data sets
(O’Reilly Media has a search engine that has been trained on the 70,000+ items in our learning platform).
And you could integrate those models with GPT-style language models, so that
one group of models supplies the *facts* and
the other supplies the *language*.
Sydney and the Bard
Mike Loukides
...catch up on these, and many more highlights
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