Machine transcription with reviewed terminology and names. Some recognition errors may remain. Timestamps refer to the original livestream.
0:14:59Good morning and welcome back. We're excited to spend this final day together building on the conversations already underway and making room for a few more big conversation.
0:15:11Without further ado, please welcome today's emcee, founder, writer, and analyst at Turing
0:15:19Post, Ksenia Se.
0:15:30Good morning, good morning, good morning, everyone.
0:15:34Welcome to the third and the final day of AI Engineer New York.
0:15:38Who went to a cool event last night?
0:15:40What was the coolest?
0:15:43Okay, I went to karaoke with swyx, and it was amazing.
0:15:47100% recommend.
0:15:49So, yes, I'm Ksenia Se.
0:15:51I write Turing Post, and I'm your emcee for today.
0:15:55It's actually my second time emceeing AI engineer in New York,
0:15:59so that's how much I love it.
0:16:01And let's go to the program.
0:16:05Because yesterday, Aparna Dhinakaran from Arize
0:16:09asked, what does an AI engineer do?
0:16:12And today we have a session from Ryan Carson
0:16:15called Your Job is Now Agent Manager.
0:16:19So apparently your job description just changed overnight,
0:16:23and I hope that the compensation will keep up.
0:16:25But fortunately, quite a few of your employers
0:16:32are also our sponsors.
0:16:34So they've seen how quickly your responsibility
0:16:39changing. And let's give
0:16:41them a warm round of applause.
0:16:44Little encouragement
0:16:45goes a long way.
0:16:47Our most amazing
0:16:48presenting sponsor, Arize, please.
0:16:53Thank you, thank you, thank you.
0:16:56The great four, our platinum
0:16:57sponsors, Oracle, Sonar,
0:17:00WorkOS, and
0:17:01AXA, please, big round of
0:17:03applause.
0:17:06Scattering gold
0:17:07of gold sponsors all on this screen.
0:17:11Please, let's acknowledge everyone with our eyes
0:17:14and give them a big hand.
0:17:17And our silver sponsors,
0:17:20let's give them as much applause as possible
0:17:25because we don't raise enthusiasm by fear.
0:17:28So please, clap, clap, clap, clap, clap.
0:17:30And finally, to all of us,
0:17:32to all our supporting partners,
0:17:34thank you for making this possible.
0:17:35It would not be possible without anyone.
0:17:39Like everyone, you know, it takes a village.
0:17:42So thank you, thank you, thank you.
0:17:45I'm a little nervous.
0:17:46It's early, but thank you for bearing with me.
0:17:50If you've noticed, there is an interesting progression
0:17:54across all these three days.
0:17:56On Mondays, you could join super practical hands-on workshops.
0:18:00And you heard from big guys like Cerebras and OpenAI
0:18:04to small but super interesting startups like OpenPros.
0:18:08Yesterday, the conversation included how AI translates into operating margin.
0:18:16And today, we'll hear about the capabilities companies are building toward.
0:18:21The work agents can take on and what managing that might involve.
0:18:27Things will be happening here in Shannon Room.
0:18:31and it will be finance, compute, and infrastructure sessions.
0:18:35In Turing room, my favorite name,
0:18:38evaluations, benchmarking, retrieval,
0:18:40self-improving agents and skills.
0:18:42In Saturn room, you will hear about developer tools,
0:18:46enterprise data, software factories,
0:18:51agent permissions, and token economics.
0:18:54In McCarthy room, finally, will be about model costs,
0:18:58coding agent context, human verification,
0:19:00and banking deployment and financial agent evidence.
0:19:05And at Turing Post, we spend a lot of time
0:19:08following all these directions
0:19:12and research in these directions.
0:19:14But we also have a series called the Org Age of AI,
0:19:20where we look at what happens to a company
0:19:23as it begins to work with this technology.
0:19:26How does the work change, right?
0:19:28What becomes possible that wasn't practical before?
0:19:32And while superintelligence feels so powerful,
0:19:37why is the ROI still missing?
0:19:40And that's part of what makes this gathering so interesting to me.
0:19:45You have people developing the technology
0:19:48in the same room as people who understand in considerable detail
0:19:52the work it needs to do.
0:19:53And there's a lot of those two groups can learn from each other.
0:19:57That's fascinating to me.
0:19:59And our
0:20:00first speakers work at the intersection of those two worlds, at Ramp.
0:20:06So please help me welcome Alexander Shevchenko with Chasing Capabilities While Waiting for the Frontier. Thank you.
