Deep learning

And that obviously compounds like that's that LinkedIn meme, right? If you get 1% better every day, you end up being quick math.

Hi everyone, and welcome to another episode of Deep Learning with PolyAI.

Today with me, I've got Arkadiusz Kapuszewski, who runs our agent OS team, and we're here to talk about RUN, our coding agent, and so much more.

But Arkadiusz, I thought we could maybe start with just like a bit of your background and how you ended up doing this stuff.

Mittlerweile überall werden die Datencenter gebaut, um dann Infinite-- Mein Fehler, ich hab's Machine Learning genannt, nicht AI, Infinite Machine Learning gemacht.

Und da drüber kommt dann halt das Deep Learning, wo halt uns zugehört wird und danach dem Kollegen sagt: "Mensch, Holger, hast du wieder genuschelt, hast du wieder zu schnell geredet, [lacht] hast, äh, nicht in die Kamera geschaut und sonst was." Ist alles supereinfach zu festzustellen, zu sagen, ja.

Also als, als persönliches Coaching oder welche Themen hast du gehabt und sonst was.

Also dass das einfach hält und das nächste Mal ist hier deine Talking-Liste und so weiter.

[upbeat music] Hi, everyone.

Welcome to Deep Learning with PolyAI, our continued podcast series where we introduce new technology, speak to business leaders, and encounter all the exciting developments and challenges in the world of AI.

I'm Damian Sasso, Group Product Manager at PolyAI, focused on our developer platform.

And we've recently had a lot of exciting releases and technological developments that we've done in our Agent Studio developer platform this year with everything from a REST API stack, where we've allowed customers to develop against our PolyAI Agent Studio functionality using APIs, an agent development kit for, you know, more development through command line interface tools.

So, you know, it's been an absolute pleasure to have both of you on the show today.

You know, Derek, Bobby from Vixo Facility Solutions, Derek, CTO, Bobby, VP of Information Technology.

For everyone that's listening, encourage you to like, subscribe, you know, stay connected, and this is, you know, another edition of Deep Learning with PolyAI.

Thanks again.

So that was one of the things I said in 2020 that we would need.

And I also said that again in 2022 in my most famous paper, which was called Deep Learning is Hitting a Wall.

Everybody read the title and nobody read the paper.

And what the paper said was, we can still use deep learning, but we need to have this symbolic stuff too in order to make this work, which has in fact transpired.

But what everybody remembers is the title, and they think that I said deep learning can't do anything, which was not what I meant.

Another thing was having machine interpretable common sense knowledge about how the world works.

We've made some progress on that, but it's still problematic.