Cal Newport

speaker
22,298 appearances 39 recordings 5 series first heard Oct 2025 last heard 10 Sep

Cal Newport’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
9 · Jun OctJan 26AprJulnow

Recordings per month over the last 12 months — 39 in all, peaking in Jun 2026 with 9.

Appearances

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It's like, this is what we're building towards. podcast-host
But if you're going to do that. podcast-host
You can't be working with 5 trillion parameter models that are doing long rambling chain of thought traces to get to the answer of we're going to click on this menu. podcast-host
We need smaller models that run faster that can fit perhaps on a chip that's in your own computer or phone or maybe a bigger chip but sits in a server in the server closet at your company. podcast-host
Right? podcast-host
That's what you're going to need for this. podcast-host
It can't be everyone talking to, you know, Fable 5 or GPT-6 through an API. podcast-host
That's just way too inefficient and expensive. podcast-host
So we have to start thinking about how to make these models maintain the... We don't want to give up too much of a quality of results, but we have to make them faster and smaller and generate less tokens to get the reasonable responses. podcast-host
So if you want to put a positive spin on this, these are the type of innovations you need to do podcast-host
to get towards more normalized LLM use in the everyday of normal people, right? podcast-host
So that would be the good spin that I would put on this type of result. podcast-host
All right, what's bad about this? podcast-host
Well, let's look at what were the computer security community upset about. podcast-host
Well, they're upset about the other thing that these AI companies are doing with LLMs. podcast-host
which is creating these prompt loops, as I call them. podcast-host
They call them agents, but I call them prompt loops because that's what it is. podcast-host
Actuated prompt loops, LLM-powered prompt loops that they're running with powerful tools, equipped with powerful tools for long amounts of time with no supervision, and they go off and wreak havoc. podcast-host
Now, when you're using LLMs to power these agents, to power these prompt loops that you, for God knows what reason, gave hacking tools and let run for days without even monitoring them, podcast-host
Well, now you care a lot about the chain of thought reasoning that these models output. podcast-host
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