AI Engineer World's Fair 2026
6 Things to Know about AIE World's Fair 2026
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How to Navigate AI Engineer World’s Fair 2026
A guide to the expanded program, expo, research encounters, leadership sessions and side events—and how to make room for the conversations that recordings cannot replace.
From a talk by Shawn "swyx" Wang
What should you make time for?
What should a newcomer prioritize at AI Engineer World’s Fair, and what has changed for someone returning? In this preview of World’s Fair 2026, co-founder Shawn “swyx” Wang introduces the choices behind the program. He describes a 15-person organizing team preparing the show. The guide is for both first-time attendees and veterans who might otherwise assume they already know the format.
The preview advertises $38,000 in sponsor offers, rather than cash or guaranteed savings. Eligibility and redemption terms are not explained. Swyx organizes the guide around six changes for an event planned around 6,000 people: its size, the expo, research participation, leadership programming, AI verticals and side events.
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A larger buffet, with a refreshed program
More choice is the purpose of scale. Swyx presents this as the largest AIE yet, but acknowledges that a conference can become too large. His preferred analogy is a buffet: organizers curate a range of subjects, and attendees choose the parts that matter to them. That approach has developed across successive AIE events, alongside gatherings in Melbourne, Miami and Singapore and plans for Paris and Chicago.
In discussing YouTube growth, swyx describes Europe as roughly 10× the size of World’s Fair 2024, without identifying the precise metric. This is not an attendance comparison. For the program itself, his stated balance is approximately 50% evergreen topics and 50% newly relevant replacements. That keeps useful foundations while making room for work that was not a distinct track the previous year.
The changes include:
- Autoresearch: a new track for a subject that did not have its own place last year.
- Inference, post-training and data quality: a more specific division of material previously grouped under GPUs, with pre-training discussed through the data-quality track.
- Memory & Continual Learning and Verticals: additional areas reflecting changes in what engineers are building.
The preview also announces an extra day of content compared with the previous year. Its practical travel advice is to stay through the July 2 programming rather than plan to leave that day.
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The expo can be the main event
Recorded talks make in-person conversation more valuable. The World’s Fair format is intended to support an entire day spent in the expo and hallway conversations. The preview describes four expo stages for shipping updates, launches and questions. Recorded presentations remain available later; the informal exchange with someone building a product is harder to reproduce.
The entry-level Expo Explorer ticket is presented as a way to wander the floor and catch up on AI engineering through exhibitors and conversations. That is a specific access proposition, not a promise that the cheapest ticket includes every conference benefit.
Swyx estimates the expo at roughly 4× its 2025 size in the preview. The subsequently updated event page says 3×; neither comparison defines a measurement method, so these should not be read as measured floor-area growth. The physical plan brings the event together at Moscone West, with entertainment as well as business programming. Streets receive names such as Attention Avenue, Backdrop Boulevard, Context Crescent and Diffusion Drive. Playful water-station details and robots add to an expo intended to reward exploration, while broad exhibitor participation makes it a place to survey the field.
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Finding research outside the recommendation feed
Expanding the audience also means bringing research and engineering closer together. Swyx recalls Greg Brockman describing people moving between those roles during their previous World’s Fair conversation. The boundary inside a lab can be more fluid than it appears from outside, and AIE aims to make that exchange accessible to its own community.
AIE positions itself as an industry counterpart to academic conferences such as ICML and NeurIPS. Its partnership with the ACM Conference on AI and Agentic Systems brings selected research into the industry program. The partnership concerns selected work, rather than every ACM paper: the official description identifies accepted papers designated Industry Spotlight or Operational Experience for presentation at both venues.
Poster sessions provide a different discovery mechanism from a scheduled talk. Someone who has spent substantial time on a problem presents the work; an attendee walking past can notice something unfamiliar and ask its creator about it. Swyx contrasts that serendipity with feeds that repeatedly recommend variations of something a person once liked. A carefully curated physical community can introduce work that would never have appeared in that person’s usual stream.
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Print the claim, then defend it
The experiment extends beyond conventional papers. Swyx notes that a paper can already be six months old when it reaches the conference floor. Published research remains a valuable artifact, but useful work also appears in blog posts, products, talks and tweets.
The proposed poasters format—with an A—puts those less formal contributions into the same setting. Print a tweet or hot take, place it alongside conventional posters, and stand there to defend it. The mechanism preserves the useful part of a poster session: a concrete claim and an available person who can explain, qualify or debate it.
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A lounge for heavy token users
The leadership program serves CTOs, VPs of AI and others hiring engineers, managing teams and setting up agentic organizations. The preview reserves level three for leadership, described as about 50% of the breakout floor space. Alongside talks from fellow leaders, it introduces a more specific way to bring people with comparable operating concerns together.
The Token Billionaire program takes its cue from Ryan Lopopolo’s AIE Europe talk. Swyx describes approximate qualification as consumption on the order of one billion tokens per month. He also says some users consume 10 trillion tokens per month, without identifying their workloads or accounting method. The lounge is compared to an Amex Platinum lounge: a place where substantial usage creates common ground for a different kind of conversation.
Those conversations need not point in the same direction:
- Spend more intelligently: identify useful work that justifies additional model consumption.
- Spend less: reduce usage while preserving the value the organization needs.
Swyx expects both groups to participate. He credits Alex Volkov of Weights & Biases with a “ZL spectrum” reference after Mario Zechner, using it to describe the contrast between these spending attitudes.
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Real workflows and private conversations
Leadership programming is also moving from broad role-based grouping toward daily themes. The request driving that change is concrete: attendees want to see real workflows from peers who are not trying to sell them something. Topics include increasing useful token consumption, reducing unnecessary usage and building company AI factories.
The preview proposes two routes for off-the-record discussion:
- A networking room: a planned booking system for meetings with speakers and fellow attendees.
- Daily McKinsey sessions: conversations about what is happening inside attendees’ companies and how to approach it.
The announced McKinsey subjects include token maximizing and agentic organizations; a third subject remains unannounced in the recording. These are the preview’s planned arrangements, not a report that the meetings took place.
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From broad roles to application verticals
Previous additions such as design engineering and product management organized the program around broad professional roles. Those remain relevant, but the new emphasis follows AI into particular deployment settings. Partly inspired by Chris Lovejoy, the selected areas are forward deployed engineering, agentic commerce, healthcare, finance and GTM, or go-to-market work.
Finance receives special emphasis through the announcement of AI Engineer New York 2026. Swyx describes it as the third New York conference and the first entirely focused on finance. The current event description is narrower about that exclusivity: finance is the mainstage focus, alongside broader programming.
Drawing on his sell-side trading and buy-side hedge-fund background, swyx forecasts finance as the application area closest to code in its potential for takeoff, followed by healthcare, law, FDE and GTM. This is a thesis about where adoption may accelerate. The vertical tracks create places to examine the distinct work in those settings, rather than treating deployment as one generic subject.
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Continue the conversation after the program
The website demonstration gives a simple route to the surrounding gatherings:
- Open the World’s Fair website.
- Select Side events.
- Browse the listings in the embedded Luma calendar.
At recording time, swyx reports 41 listed side events, with more being added. The listings are intended to help attendees continue conversations outside the main day’s programming.
The highlighted World Cup gathering is described in the preview as a confirmed Team USA event. It is a distributed opportunity, not one gathering for the entire conference: swyx says no single viewing venue can accommodate everyone. Attendees can choose an individual event and watch alongside other AI engineers.
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An entry point for people arriving alone
Feedback from AIE Europe prompted the first New Engineer Orientation, or NEO, particularly for people attending on their own. The usual team strategy is to divide the program and regroup: swyx describes 10–12 simultaneous tracks, with teammates each following a different track and sharing what they learned afterward. He compares the process to MapReduce.
NEO supplies a social starting point for people without that ready-made team. Planned for the night before the first day, it welcomes solo newcomers as well as returning attendees willing to meet people and help. Swyx reports 300 orientation signups at recording time and projects that participation could reach 1,000. The projection motivates a request for help; it is not a final attendance count.
A chatbot exists to answer questions, but swyx expects newcomers to ask humans anyway. That is an expectation about onboarding, not measured chatbot adoption. Even at an AI conference, meeting someone who can answer a basic question is part of the reason to attend.
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Relationships beyond work
Neo4j is organizing a children’s event where attendees can bring their kids and spark their interest. Swyx explicitly says he does not know its rules, so the mention does not establish eligibility, supervision arrangements or childcare provision. The broader intention is to make participation more welcoming to families.
Personal relationships also count among the community outcomes the organizers value. Swyx mentions couples who met at AIE and announces a dating event in the expo on opening night, despite its absence from the listings shown in the preview. The conference’s social purpose extends beyond recruiting, selling and exchanging technical knowledge.
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The work behind a useful gathering
The closing credit goes to MCs, track hosts and the people who choose to contribute. Swyx connects that collective work to the continuing effort to resist low-quality AI content: a meaningful event depends on people bringing care, judgment and substantive work into the same room.
The final invitation mentions a discount promotion and suggests sponsor credits can offset the ticket price, without supplying a code or redemption conditions. Those are promotional benefits to evaluate on their terms. The invitation itself is straightforward: spend time with the community and leave room for the full program during the week of July 2.
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Resources
From the talk
Official event page with the program structure, tracks, expo information and orientation schedule.
Research conference covering compound AI systems, with details of its World's Fair presentation partnership.
Companion talk about steering coding agents, managing scarce attention and building engineering guardrails.
Official October conference page outlining its financial-services focus, venue and program.
Further reading
Detailed session listings for exploring the conference's technical and leadership programming.
Read the complete timestamped transcript
- 0:00
Six things to know about AI Engineer World's Fair. Hi, I'm swyx. If you didn't know, I'm one of the co-founders of AI Engineer, and there's, uh, 15 of us now working really hard day and night, even on weekends, to bring you the show.
- 0:13
We've been really, uh, overblown by how, uh, positive the response has been, especially for this World's Fair, and we figured we should pull some kind of update, uh, from people behind the scenes, but we didn't have a ton of budget to do it.
- 0:29
So this is me in my, uh, working place and, uh, doing all this in one shot. Uh, we d- we, you know, we don't have-- Like we're, we're busy producing the show, so we just wanted to give you an update, give you a guide.
- 0:44
If you're new, welcome. If you're, uh, an AIE veteran, there's a lot of new things that you should be aware of that we're trying out this year. That's why we're making this.
- 0:53
So, um, if you stick around, uh, I've been told for YouTube purposes, uh, I'm gonna tell you how we're gonna getting all these ex- uh, exclusive attendee perks, uh, featuring $38,000 in terms of, uh, sponsor offers, which I'm very excited about.
- 1:08
So stay tuned and hit sub... Um, the general vibe of this video is we wanna show you a little bit behind the scenes of what we're building. Um, and, uh, I figured, you know, like I think-- I like the number six.
- 1:21
Six is a good, like, well, not too many. Like there is a lot of stuff going on when you're organizing six people, but here are the big six things that you must...
- 1:30
Okay. Well, first thing, it's bigger than all the previous AIEs. I almost wanted to say it's all previous AIEs combined, but that's not exactly true, 'cause if you do the math, actually we're, we're a little bit over that.
- 1:41
Um, but a lot of it is-- I, I mean, size is one thing. I think size, um, there's such a thing as too large anyway, so size doesn't appeal to me or to a lot of other people.
- 1:52
Uh, but one thing, one thing it does do is offer us the space to give everyone a little bit of something. And really how-- The way I think about AIE is that it is a buffet of things that, uh, you might be interested in that we are curating for you, and one ticket, uh, basically covers your selection
- 2:10
of all these things. Um, so we've grown a lot over the last six, seven events that we've done, and also, uh, you may have seen the really successful Mia- uh, Melbourne, Miami, and Singapore event with Paris coming up and Chicago.
- 2:27
Um, we've also really grown a lot on YouTube. Um, I just-- It just shocks me to see the growth. Like we thought that AIE World's Fair 2024 was big, uh, and now we're roughly 10x the size as well just for Europe.
- 2:40
Uh, and we're expecting this to be the largest AIE that we've ever done. So, uh, we're really glad about the, all the support online. Uh, the way that I'm thinking about curating this is that we're bringing back some roughly about 50% topics that are evergreen and then throwing away the other 50% and completely, um, adding new, completely
- 3:01
new topics that are super relevant. Um, our top tracks are like Autoresearch, which didn't exist last, uh, last year. We've split out, um, the sort of GPUs track into inference and post-training and pre-training, uh, which is the data quality track.
- 3:16
And then we've also added Memory & Continual Learning. We've added Verticals. We'll, we'll talk about all those things, but basically the idea is that it's larger than ever before.
- 3:26
Uh, compared to last year, there's the, there's an actually a whole extra day of extra content. Um, I know a lot of you are planning to fly out on July 2nd.
- 3:33
Don't. Um, it's actually some of the best stuff that we have. Uh, so as far as I can convince you to stay on America's birthday, you should. All right.
- 3:42
Uh, part two is, uh, even the expo itself. Um, part of the dream with World's Fair actually is that the talks are kind of optional. Like, um, actually what you wanna do is the hallway track.
- 3:54
Actually, the whole point of a conference is to meet in person because everything's recorded anyway. Um, and you can spend the whole day. There's actually four expo stages for people just talking about, um, you know, all the stuff that they're shipping and, and launching and, and answering questions, and some of these are actually really popular, uh, on
- 4:10
YouTube. Obviously, like everything's recorded. Uh, I think obviously the interesting thing is like the stuff that you get off, right? Like, which is real, the real offer at AIEs.
- 4:21
Uh, but the-- To me, it's really insane that for the price of an Explore Explorer ticket, which is kind of like our cheapest, like, uh, entry level tier, um, you just get to just wander the, the floor.
- 4:32
Uh, that to me, that was always the vision of, uh, a World's Fair as compared to a summit. Um, the World's Fair itself, it's so compelling. The expo has everyone relevant, uh, that you just wander and you catch up on AI engineering for 2026.
- 4:45
It's a pretty good deal. Um, compared to last year, this is how it looks last year for 2025. Um, it is roughly 4X bigger. Uh, we've got a lot of entertainment, so it's not all just business, business, business.
- 4:57
Um, it is at Moscone West, which, um, we, you know, we've-- we're very familiar with now and, uh, we're really loving hosting the show there. Everything happens in that building.
- 5:07
Um, but we're really using the place really well, which I'm really liking. So, uh, we're starting to sort of name all these, uh, streets. Uh, one of the things that you might like seeing as an Easter egg is Attention Avenue, uh, Backdrop Boulevard, Context Crescent, and Diffusion Drive.
- 5:21
That's my baby. Uh, keep a lookout for the water stations as well. That's, that's also another really fun one, as well as a lot of the robots. Uh, we're starting to serve things that are not human in AIE as well.
- 5:33
Um, and also something I'm really proud of is all the great logos that we have, uh, which I, which I'm just saying, like it's really everyone at AI-- in AI engineering.
- 5:41
So if you wanna catch up, this is the spot.
- 5:45
Um, the other thing that I often talk about when, uh, like when sort of explaining like what is our trend of AI, AI engineering, um, it is that we want to be inclusive and we want to sort of grow the audience, uh, a little bit every, every single year.
- 6:00
And the relationship of industry and research is something that is increasingly important, I think. Um, in my podcast conversations with the labs and the researchers and all those things, actually, I think they are more fluid in their conception of research and engineering than, um, the people externally might feel.
- 6:20
Um, like when I had my conversation with Greg Brockman last year at the World's Fair, he was talking about how people just switch back and forth from research and engineering all the time, and I think that's definitely very true, and I think it should be true for us.
- 6:32
Like, we, uh, are setting ourselves up to be the industry counterpart of academic conferences in AI, like the ICML and like the NeurIPS. Um, and we have a real partnership with the ACM, which, um, this year set up the conference on the AI agentic systems, supported by these lovely people, uh, some of whom have been our speakers
- 6:51
and some of our future speakers as well. Um, but really what they've done is basically let us do an industry spotlight selection of some of the stuff that is relevant for you this year, some of whom are, are just, uh, speaking again.
- 7:04
Uh, if you haven't been to any of these academic conferences, they're really massive, like industry, uh, a- academics that are presentation markets. Uh, this is a photo of NeurIPS.
- 7:14
Not all of them are as big as this one. NeurIPS is 40 years old. But, um, [lip smack] really, like they're-- Uh, I think they're a way for someone who's spent a lot of time on something to present their work, and for you to serendipitously walk past and go, "What is that?"
- 7:29
And you find a lot of things. And, uh, I think a lot of my favorite NeurIPS experiences has been just discovering something I didn't know about from just walking past it.
- 7:38
And I think this is some-- is a very important thing for breaking through the algorithm because, um, I think the, the feed is, and the, and the recommendation systems, another topic we really care about, is really hyper-optimized to feeding you clickbait, feeding you 10 of the same thing that you liked one time, um, and, uh, not really
- 7:57
having much taste because the, the regression to the mean is super high. I think if you have a community that is curated, that is high effort, that is really sincerely, inherently, deeply involved in this topic, you get a very different feel, and I hope you get to experience it with our poster sessions.
- 8:13
Um, the other thing that we're trying is we're really trying to innovate on this 40-year paradigm of poster sessions, which are papers, which are, you know, six months out of date by the time they reach the floor, all those things.
- 8:24
And really, like I th-- uh, you know, a fundamental belief of mine is that there is something to learn not just from a paper that is published, although that is a very good artifact of work.
- 8:34
Um, there is, there's something to learn from a blog post, from a product, from a talk, and even a tweet. Um, and so we actually put out a call for posters, posters with an A.
- 8:43
Um, so if you like posting on Twitter, uh, and if you have a hot take, we're gonna print it out and we're gonna put it on the same level as a poster session with, with no A, and you're going to just defend your tweet.
- 8:56
Oh my God, where is that, uh, image that I prepared?
- 9:02
GPT image did not follow my instructions. I, I asked it to actually put an example of a kind of tweet that we would get, but the idea is that you would print out your tweet.
- 9:10
Um, GPT image fail. Tell me how to fix it, or actually tell Gabriel how to fix it, 'cause that's who we invited, uh, from OpenAI. Okay, um, part four.
- 9:21
Another very, very important constituency is the leadership, uh, the enterprises, the CTOs, the VPs of AI who are managing AI engineers, hiring, recruiting, setting up agentic organizations. Um, we have a few new initiatives.
- 9:33
We've had this sort of track for the last three years. We have this new-- a few new initiatives that I wanna go over. And, uh, the first of all is that the entire level three is basically reserved for the leadership track, which is about 50% of the floor space of the breakout space.
- 9:50
And here we're doing a lot of new stuff apart from just obviously content from fellow leaders and, you know, talking to them. Um, one of the largest concepts that has emerged over the last year is this concept of token billionaires.
- 10:01
Here's Ryan Lopopolo at AIE Europe talking about how he wants everyone to be token billionaires, and there's a lot of these. Uh, basically, if you spend something on the order of, uh, a billion tokens a month, that's actually a really low bar for some of these people.
- 10:14
Some of them spend 10 trillion a month. Um, in that order, you're-- you qualify for our Token Billionaire program, uh, which is basically a lounge, and think of it as like an Amex Platinum lounge or something, where you're just going to have a different kind of conversation for someone who uses it.
- 10:32
Um, some of this, they are going to be heavily LLM psychosis, as in I think there'll be about even split between people who are trying to spend more in smart ways and people who are trying to spend less, and it's gonna be a really interesting diversion.
- 10:48
Alex Volkov from Weights & Biases calls this the ZL spectrum after Mario Zechner.
- 10:54
Um, also a talk that is coming at World's Fair. And we also are introducing thematic focuses. We used to just have sort of undifferentiated, like you're a leader, you're an architect, we'll just slot you in with someone who's like something vaguely related.
- 11:09
Here we're-- To-- Uh, this year we're pursuing daily themes. The, the themes that people are asking me for is they wanna see real workflows from other people who are not selling them anything.
- 11:19
They are looking at token maxing, obviously the extremes and the, the, the sort of reductions as, as we talked about, as well as setting up AI factories for companies.
- 11:27
Um, and I think that also maps to like some of the networking that people wanna do. So we actually have two opportunities for off the record networking, uh, from the networking room that we're setting up, where you can book meetings with speakers and fellow attendees with a, with a new system that we're cooking, as well as McKenzie,
- 11:44
one of our top speakers from Code Summit, uh, this beautiful shirt. Um, McKenzie's just doing a session every day where you can just meet with them and talk off the record again with them about what's going on at your company and, uh, what they think about it.
- 11:58
Um, so they are working on a tokenomics thing, uh, working on agentic organization, and a third thing that we haven't announced.
- 12:05
Okay, so what's the fifth thing? Fifth thing is we're betting hard on AI verticals as opposed to horizontals of last year. So last year, for example, we added, uh, design engineering as a track and product management as a track.
- 12:20
Um, that's still very broad, and I think that's still relevant and, and worthwhile. But I think a lot of the big themes of this year is that AI is being deployed in these very high-value verticals.
- 12:31
Uh, so for this year, we've picked, uh, for deployed engineering, agentic commerce, healthcare, finance, and GTM. Um, this is partially inspired by Chris Lovejoy, who was one of our top speakers from a couple years now.
- 12:44
Um, and I really like this screen share that, uh, I've set up, so you watch it. So we have all these tracks, right? FDE, uh, agentic commerce, healthcare, and AI and GTM.
- 12:55
The special one that takes precedence above all of them is AI and finance, which is our big bet for New York. Um, so we are, uh, also gonna pre-announce AI Engineer New York.
- 13:05
Um, this is our third New York conference now, but our first entirely focused on finance. Um, we-- I think I come from a finance background. I used to be a sell-side trader and a buy-side hedge fund guy.
- 13:17
Um, and so I think, uh, if there was a vertical after code that is the most likely and closest to code for takeoff, it is finance, uh, closely followed by healthcare, law, FDE, GTM, all those things.
- 13:30
Um, so I think that's interesting and self-evident, but, um, this in itself, it's its own conference, like a collection of verticals and, um, understanding what they are.
- 13:41
And then finally, I think, um, to make the most use out of, uh, your time at World's Fair, there's a whole bunch of side events. Um, I should-- I intended to show you how to navigate the website.
- 13:51
Just go to ai.engineer/wf. Um, we have a LLMs MB that's, that has, uh, inputs into all the other guys. It's really fun. Um, but if you just click side events here, uh, you can see all the side events.
- 14:05
We have 41 listed as of time of recording. People keep adding stuff. Uh, but if you want to, you know, hang out with people outside and, um, continue the conversation after the, the, the main day of events, this is where you go.
- 14:19
A few side events I would highlight. Um, NEO is, uh... Sorry. Well, first of all, the ultimate side event, the World Cup, happening with us, now confirmed to be a Team USA event.
- 14:30
Very excited about it. Um, obviously, there's no single venue that will accommodate 6,000 people, but just join one of the things. Watch it with nerds and talk about AI.
- 14:41
Um, we're actually doing, after some feedback from AI Engineer Europe, we're actually doing our first NEO, New Engineer Orientation. Uh, this is literally for people who are coming on their own.
- 14:51
Uh, so usually World's Fair's kind of design is sort of come, go, go with your friends, go with your team, uh, divide and conquer. There's, you know, 10 to 12 simultaneous tracks, so you just split up with your team, pick like one per, one track per person, and then you gather it back at the end of the
- 15:06
day, sort of like a MapReduce of... Um, uh, for NEO, uh, if you're coming alone, you're completely new, or if you're just returning and you're open to networking and helping others out, uh, this is the, uh, orientation the night before the first day where people will just meet up.
- 15:23
Um, so far we have 300 people signed up. I think this is gonna go to 1,000 people, so we need help. Um, we're gonna have a lot of newbies.
- 15:30
A lot-- Everyone's gonna ask the same exact questions. We have a chatbot. No one's gonna use it. We know this, so we just... People wanna talk to humans, I know.
- 15:38
Um, so it's the, it's the irony of AI that, you know, even as much as we believe in like AI, we do still wanna talk to humans. That's why we're all here.
- 15:46
So we're setting up NEO. Um, also a new one, this one I had nothing to do with 'cause I don't have kids. Um, but the, the kind people at Neo4j have set up a kids event.
- 15:56
Like literally, if you have kids, bring your kid. This is not about how to be a better parent. This is bring your kid and get them interested. Um, I don't know the rules around this.
- 16:06
I, I'm-- They're doing it, but I just, I'm just highlighting it 'cause it's cool. Uh, I do think that we do wanna be supportive and inclusive and, um, you know, I guess one of our KPIs is like the amount of relationships that we're starting to fo- form for families and couples.
- 16:21
Um, there have been couples that have met at AIE and, you know, uh, that's, that's like one of the, my, my dearest sort of impact stories that, that I love and, and the team loves that's organizing this thing.
- 16:31
We do have a dating event, uh, that is in the expo on opening night. It's not even listed. We just don't have the space. Just, just come. Just come for everything, okay?
- 16:39
Like, I just don't have the bandwidth or capacity. I'm making this video, okay? I'm like taking time out from like messing around with my schedule and like doing migrations on the database.
- 16:48
Just come, okay? Yeah. Anyway, so that's the recap. Uh, six things to know about AIE. Um, there's a lot. These are the six things that me, the, you know, co-founder chooses.
- 17:00
I'm sure there's stuff I missed. Um, there's MCs I'm really proud of. There's track hosts I'm really happy to work with. Uh, it is a village. I cannot take credit for how well AIE, AIE has gone.
- 17:12
People have just decided to pitch in and make this community meaningful because there's so much slop out there, and we're still on the war on slop. We're still fighting slop.
- 17:20
What everything I said in New York last time, if you saw my last talk, still stands. So we're doing this. Join us. Um, there's a promo in here if you need the, the sort of discount.
- 17:32
Don't really need it. It's quite affordable. Um, and you get your money back in credits anyway, so, uh, what's there to lose? Come spend some time with us. Don't travel outside of the US for, uh, the week of July 2nd.
- 17:47
See ya.