大家好,我非常感到今天,我們正在開放我們的新型和最最高的新型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型
型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型
型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型
型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型
型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型
型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型型
Hey ChatGPT, I would love to get an understanding of how people are using the ChatGPT work feature internally.
Look through Slack and employee feedback and find people in diverse roles that have used the product in really interesting ways.
I'm in San Francisco this week for the launch. I would love to meet up with a few people and really deep dive on their use cases in person.
So I can send this through mobile but these conversations also appear on web and this is something that I actually did earlier.
We can take a look at the results and ChatGPT work was able to pull from the sources that I asked for, find interesting people to talk to, and then schedule meetings with them while I'm in town.
And one of the feedback posts it highlighted was actually Laurence.
Yeah, our finance team have become such power users of ChatGPT work. I'm really excited to show you how we've been using it but I would love to hear how other teams have been using it too.
Yeah, we've talked to people throughout the company like recruiters that are using scheduled tasks to track interview progress and make sure that we're getting feedback timely.
And data science who are using our new visualized feature to just add context for quick ad hoc requests.
But I think the finances experience was one of the ones that was most compelling to us.
Yeah, I'm excited to show it to you guys. So finance may not seem like the flashiest demo we could be leading this off with.
But ChatGPT work has really enabled us to run with such lean and efficient teams and we wanted to show you guys a little bit of a peek behind the curtain at how we've been able to do that.
So one of the critical roles of a finance team is being able to explain not only our recent trends but what they mean for forecast in real time.
This takes a couple minutes to run. So we did run this earlier today.
But let's say we just ran or sorry, we just closed June and we beat our forecast by $2 million.
And I do need to caveat these are demo numbers.
They don't look like the numbers that you shared yesterday. So I'm glad we're not sharing the real numbers here.
Tivo obviously beats this forecast by more than $2 million.
These are these are demo numbers, but a very real a very real workflow.
So we ran this earlier today. This used to take so much manual work.
We would have to reconcile multiple systems, our Excel forecast model across multiple cases.
And now in one pass, ChatGPT can run the variance analysis for me so we can see why we beat our forecast and where we still have risk.
I can even have ChatGPT work go in and propose an updated forecast case for us.
So we had it do this earlier or we had it run yesterday.
It went through and updated our Excel model.
Let's see. Perfect.
Yep. We've got our updated revenue in here, our updated forecast.
But I can't just walk Tivo and Jessica and our business partners through an Excel model.
So we also had it put together a PowerPoint presentation that we can use.
We've got our latest forecast. We've got our driver's bridge on what's changing in our outlook.
And ChatGPT work will meet you where you are.
It's obviously it's great at Excel and PowerPoint, but our finance team have become such big proponents of sites.
It's such a flexible interface to be able to do custom custom dashboards and really just like storytell around your analysis.
So I also asked ChatGPT work to go in and make us a site with the same analysis that we can share out.
We've got our updated forecast. We've got our driver's bridge. This is looking good. It's good to go.
All right. So we've run our variance analysis. Our forecast is updated.
We've got our overviews back for business partners.
Let's go ahead and have ChatGPT work send this to Tebow.
Hey, chat, can you send the site link over to Tebow on Slack?
Thank you. We'll send that off.
I hope I get that soon.
Yeah.
It is such a delight to receive these highly interactive and compelling websites.
In ChatGPT work, we've seen it perform very similar things across different use cases.
Jessica was using it to understand user feedback and preparing ahead of the launch,
even scheduling interesting chats with her colleagues in one-on-one through Calendar.
And that was Jessica.
But Lauren used it for a very different kind of purpose across finance and very complex workflows
where precision and correctness is extremely important.
ChatGPT work was able to understand complex financial data and represent it in the right format at the right time,
just with a few steers.
Now, I'm excited for us to show you the all-new ChatGPT desktop app.
Andrew, Ed, show us what we can do with it.
Yeah. Thanks, Tebow.
This is the new ChatGPT desktop app.
So everything that you saw on web, it's available here, plus a lot more on your local machine.
So local files, your browser tabs, even other apps on your computer, they are all available now to ChatGPT.
So let's take a quick look.
I'm going to start with this spreadsheet right here that my colleague Nick sent me.
It's an export of user tickets from our ticketing system.
And it's pretty large.
It's got a ton of columns.
It would take a while to get through this and kind of tease out what the themes are and what we need to pay attention to.
A lot of feedback.
It's a lot of feedback.
We're very used to this.
But instead, what we're going to do is we're just going to drag it in.
We're going to say, hey, ChatGPT, can you make a quick interactive visualization of this feedback so that we can sort of get the themes and the action items and the criticality ranked and sort through it all a little bit better?
So Chat's going to go and take the spreadsheet, synthesize it, the content, and then make us a visualization.
It'll take a second.
So I'm going to walk you through something that I'm doing for next week's launch.
So I've got this folder over here.
And this has a variety of material from various teams that have been sent to our team here.
This is a launch readiness PDF.
And it's got a lot of stuff in it.
Then we have, over here, we've got UXR.
They did a bunch of interviews with users on our early products.
We've got a security review.
This has all of our pen test results and even some of the compliance controls we need to meet.
So this folder's got a ton of stuff from various teams.
They've just been kind of sending it to us in prep for this launch.
And I need to brief my team on Monday on the state of the launch, right?
And so what I did this morning is I came in and I said, can you please look at the materials in this folder that everybody sent me?
I also have three open tabs in Chrome that have content for this launch.
Go look at it and make me a presentation that I can give to my team in the template that we use all the time at the company.
And so it worked for about 90 seconds here, a little bit less.
And at the end of this, looked through my desktop, looked in Chrome at the tabs that were open.
And it produced a fully ready slide deck for me to present to the team about this launch.
This is one thing that GPT-5-6-Soul is really incredible at.
It went through all of that content in 90 seconds, synthesized it all, adhered to the template and created like a slide.
You can just share that directly with the team. You don't have to do anything else.
Exactly. And it used its memory as well because I've been chatting a lot about this launch.
And so it's got some of the concerns that I have that haven't actually been shared via Slack or email too.
But I know that you were curious about the next World Cup game and you were kind of busy prepping for this live stream.
So we've got this really great feature in the app to do quick searches and anything that you want to know really quickly and get instant results.
My friend Tibothy wants to know when the World Cup game is so that he can watch it.
When is that?
He's actually more interested in the Belgian game from the other day.
I know. I know.
And so this is the ChatGPT search experience that everyone's come to know and love.
It's almost instant results.
It's got rich search widgets here and, you know, anything you might want.
But back to work.
I've got this Notes app situation that I don't think I'm unique in in that my Apple Notes is just kind of a brain dump and it's all over the place.
And there's no folders.
There's no organization.
And in a previous life, I would just kind of leave it this way and declare bankruptcy and it'd be sort of a mess.
But with the new ChatGPT desktop app, it actually has access to the other apps on my Mac.
Organize my Notes app.
It's a whole thing right now.
Like, make some folders.
Move the notes around.
Use your best judgment.
I don't care.
I just need to get out of this mess.
So what's going to happen here is ChatGPT, with the incredible computer use that's built in and with the advances in the new model, it's going to get its own cursor.
It's going to start operating Apple Notes in the background.
You can see here.
This is not my cursor.
This is ChatGPT's cursor.
There it goes.
There it goes.
It's going.
It's moving Notes around.
I can do my thing over here.
I can check the Belgium game and when that is.
And it's just going to go to town and make some folders and drag some notes around.
We don't have to watch this whole thing because I'm really actually quite curious at what Ed and team have been cooking.
Can you show the visualization first as you started?
So we were curious about all of this feedback that we had.
Yeah.
So here's the visualization I made from the spreadsheet.
We've got, it's like rich.
It's on demand.
It uses the theme that we're using in the app.
And it kind of went down and ranked.
It's like, hey, here are the buckets.
Here's how important they are.
It's interactive.
It's not static.
So I can, you know, change views.
I can ask it for changes.
And if I want to share this with my team because the spreadsheet's hard to read, in one click, I can just publish that to a site.
And then they get this exact same interactive visualization.
There are a few more examples, I think.
Yeah.

There, there, that's a good call out here.
This, this is a set that I ran last night.
Just kind of playing around with it.
These things are stunning.
I mean, the, the, we didn't write any code to make these.
The model is writing these on demand.
The 3D ones are incredibly immersive.
Interactive.
It just uses it as part of its answer.
So it can sort of like model it, like whether it answers in text or answers just like with a little visual, like on the fly.
Yeah, you, you can, so you can ask explicitly for a chart or visualization, or sometimes if you ask to, you know, get educated, if you're like, hey, teach me about how this thing works, it'll come back with this interactive demo.
Or if you say, help me sort through my inbox, it might even give you like a rich widget that shows you the messages and stuff.
It's, it's, it's awesome.
Cool.
Take it away.
Hi, my name's Ed.
I'm a designer on the team.
And I want to show you a little bit about how I use it and the team uses it in our day to day.
So, you know, you walk through an example of creating assets for a launch using files on your computer.
I've done the same thing here, except I've used our new, used our new sites feature.
So one thing I really want to highlight here is I kicked this prompt off this morning and it's looked through all of my connectors and plugins that we talked about earlier.
I've connected my Slack, my Gmail and everything that I use every day.
and it's gone through all of those sources and it's come back and turned it into this like super rich interactive website that I can go in.
And the reason I want to show you, you know, one big reason I want to show this is just because, you know, this is just one prompt kicked off and the visuals are really incredible.
I mean, the, the new 5.6 Sol model.
Did you give it a Figma for this?
No, no Figma. This was all, all just the model. Yeah.

And, you know, as a designer, there are like little things you look out for, like small motion, right?
The typography, the, you know, the 3d motion and all that kind of thing.
And it's always best when you give it a little bit of guidance and you, you know, you bring it along, but it's really outstanding outside, out of the box.
And again, this is just like a really fun way that teams have used to use this feature across the company.
But, you know, we're on live stream, we want to make it a little bit more exciting. So what I annotate this and let's change this header to something a little bit more fun.
I think, you know, we saw some of the 3d visualizations that you showed and I think the 3d, the 3d stuff is super fun and interactive.
So hi, Chagibut, let's change this website. So instead of having the static hero at the top with these planets spinning around, let's do an interactive game.
So I want to have like a little character that I can walk around with and, you know, based on where I go, I'm going to have a little character that I can walk around with.
So I want to go, that will then take me to different parts of the live stream prep. So there might be like launches and the run of show.
Yeah, take, you know, it might take a little bit of time, but really go ahead and start that.
So while that's kicked off, I just want to show you a few other great examples.
You know, Lauren mentioned that their team use a lot of these for like dashboards and internal tools.
That's definitely something that we've seen a lot. And you can see a lot of different examples from across the company here.
A few just to call out. So the web team, the openAI.com team who build all of our amazing websites.
They, instead of using like an Excel spreadsheet, they use this interactive tool where they can update it all collaboratively.
They can share it with each other and you can just hop in, you can see what's launched and when it launched, you know, hover over.
It's like so interactive and again...
So much nicer to look at rather than a spreadsheet. This really illustrates it super well.
Yeah. And it's really been, you know, night and day, literally three months ago, spreadsheet today.
These like, you know, it's really like transformed the way that the whole company works.
This is another great example. This is the ChatGPT images team.
So they've been collecting great examples of how ChatGPT images have been used across all of our campaigns around the world.
And when building sites as well and any kind of front end stuff, you know, we now have access to ChatGPT images as well.
And it just also, you know, makes the whole experience like so much better.
As a designer, this is one thing that I quite like to do a lot.
So as part of the new launch, so you're not looking at, you know, ChatGPT or the ChatGPT desktop here.
You're looking at an interactive prototype that one of the designers on the team, Tarek, built, and I've been working with him on.
And it's a new way of prototyping our new model selector.
You know, previously I might have just sent an image or a design file to folks.
Now I can show an interactive demo. I think I sent you this and you're like, well, what?
I can like click in and test it out.
It's so much better to illustrate like an idea and then, you know, you just do it super quickly in a couple of minutes and then boom, you have it.
Yeah. And then you share it with, you know, you just get the feedback you need. You incorporate it back.
If you need to prototype a toggle or something.
Yeah. And the design team and like all teams across OpenAI really, you know, our work has changed so much.
And it's really been facilitated by these new models.
And this is finally a bit of a fun one.
So, you know, in the AI community, a good test of kind of how good a model is at front end is this test where you can see if it can draw a pelican riding a tricycle in an SVG.
But Kian, one of the folks on the team, he built this fun prototype where he built a 3D version.
And again, this is just all 5.6 Sol, you know, cooking away, building out this amazing prototype.
And the really cool thing about Sides, they're collaborative. You can share them.
And he shared this with people across the company and they've kind of added their own features.
So, you know, it can ride a pony, you know, it can ride all sorts of crazy things.
It can ride another pelican. So this is a light hearted example.
But just like as a creative, it's just so amazing how much it's expanded things.
So I kicked off that prompt this morning. So I'm just showing another example here of an output.
And that's what we just...
Yeah, this is this was... So I kicked the same prompt off just before we started.
And again, you can just see just how amazing it is out of the park.
So it's the same website. But now you can kind of go through and it's a bit more interactive and fun.
But really just demonstrates that just in a few prompts now, kind of anyone can really build anything.
It's really about raising the level of ambition that you have, right?
Yeah, totally.
Thanks so much, Ed. Thanks so much, Andrew.
Everything you saw here was really made possible for Jessica, Lauren across finance,
getting help to schedule interviews, understanding things in the stress of a launch.
And then here, just getting help to think ambitiously and executed on it really fast.
All of that is made possible thanks to the model.
And I'm here joined by Katie and Tejal to talk a little bit more about the research,
which I'm tremendously excited about.
And one thing really also to insist on is like, it's not about this, not just about front end.
This model is our most capable coding model.
And it's also incredible at cyber, which we're going to talk about as well.
Well, I'm Katie. I'm a researcher at OpenAI.
And it's pretty crazy to think that we've been here just for a year since the codex launched.
I think we were like precisely almost like a year ago here.
Literally right here. Yeah.
Hey, I'm Tejal. I'm also a researcher.
And we're all so excited to share more about how we trained GPT 5.6.
It's truly been a labor of love from our whole team across OpenAI.
In 2024, we announced the reasoning paradigm, which is a reinforcement learning technique to tackle the hardest
tasks. And since then, we've been scaling both reinforcement learning and pre-training.
And we've seen exponential improvements in model capabilities as these two multiplied together.
And GPT 5.6 is the latest result of all of our research progress to date.
The 5.6 family brings these frontier capabilities to you.
Sol is our most powerful model for the hardest agentic workflows.
Terra is a faster model for everyday workflows.
And Luna is our fastest and most affordable model for high volume work.
Already, Sol has been transferring our research program.
As one example, 5.6 Sol actually autonomously post-trained Luna.
This is the actual codex prompt that we, a researcher on our team, used to have Sol kick off a post-training job for Luna.
You can see here that, you know, it's like asking to find the training configs, find the right GPUs for the job,
and then launch the script and make sure that it works.
It's a really short prompt.
Yeah, it's pretty crazy that we've gotten far enough where you can have a fairly underspecified prompt,
and then just give it to codex, and then just have it go and run the job.
And, you know, previously this is something that a team of senior researchers may have worked on at OpenAI,
and now it really feels like the automated researcher is pretty close.
This isn't the only place we've seen internal acceleration.
We're also seeing an increase in the number of pull requests per researcher,
the number of experiments researchers can run so we can test our ideas and turn them into research findings.
And actually, Codex made every plot in this livestream and also helped us make the slide deck.
So thank you, 5.6.
Across Frontier evals, 5.6 Sol is state-of-the-art, and this is something we're really excited for you to finally experience
and see the speed-up that we've already experienced internally.
On Terminal Bench, with the test of coding performance, the model is state-of-the-art.
On BrowseConf, which is an evaluation that sees if the model can locate hard-to-find information,
and the same with agent's last exam, which is long-horizon professional work.
As one deep dive, 5.6 is particularly good at computer use,
so anything that involves navigating a browser, navigating apps on your desktop,
and that enables all sorts of digital work.
It helps medical assistants navigate electronic health records.
It helps data scientists analyze if a drug is effective.
It can even help investment bankers create financial models.
And you can also use this for personal use.
It certainly helped me order food.
And all of this is something that when we ask experts in the field, you know,
how they're using this model in their everyday workflows,
they say it's better than anything else they've ever used, anything else on the market,
while being three times as fast.
So we're really excited for you to finally try and feel how powerful this model is.
You might hear the capabilities that Tayal was talking about,
and that you saw demoed earlier, and think that this is going to come at a very high price tag.
But that's actually not the case with GPT 5.6 Sol.
So token efficiency has been a huge focus of our research program for several years,
and with every model we want to bring more intelligence for every token.
And you can see this reflected on evals like DeepSuite 1.1,
where GPT 5.6 outperforms its competitors at less than half of the cost.
But if you want the best intelligence money can buy,
we're also announcing Ultra Mode,
which unleashes a whole team of agents to do work for you.
So in this example eval, you can see here, you know, one agent does better with time,
but as we add more agents, the model is able to do even better and faster.
And that's because the agents are able to parallelize work like an experienced team.
This is a capability folks have asked for so long that we bring to the Codex app,
and I'm so excited that we're finally putting it out there as Ultra Mode.
One more improvement that we've shipped with GPT 5.6 is, you know,
we may remember that when we launched GPT 5.5,
we had to ship it with a dev message saying, you know,
don't talk too much about the goblins and the gremlins.
And this is a result of reward hacking that occurred during the training of GPT 5.5,
which has now been resolved in GPT 5.6.
And now GPT 5.6 will only talk about goblins a tasteful amount when it's cute or appropriate.
With these more capable models, safety and alignment are more important than ever.
That's why we spent over 700,000 A100 equivalent hours of compute on model red teaming.
We also spent six weeks safety training and testing this model
and also have incorporated multiple novel monitoring upgrades in our launch,
including new classifiers and activation probes.
Ultimately, we really believe in iterative deployment
and putting our models in the hands of real people as quickly as possible
so that we can learn from real world usage outside of our labs.
And that's why we have initiatives like Project Daybreak,
where we give cybersecurity researchers access to our models earlier on.
And with GPT 5.6 Sol, researchers have already found vulnerabilities
in every major browser and database.
Yeah. As part of the Daybreak umbrella, we started Patch the Planet,
which is an even broader initiative where we work directly with open source contributors and projects.
And we also generate high quality patches.
for example, for Linux, they accepted over half of our patches,
which indicates that not only do we find critical vulnerabilities
that weren't found for a long time,
but also we are able to automatically patch them
in greatly accelerating cyber defense.
We're very proud of this model.
We hope it helps you as much as it's helped us.
And we're excited to see all that you build with 5.6 Sol.
Thank you for sharing about the research and the model.
What an incredible set of releases.
We saw ChatGPT work, capable of working on mobile and web.
We also saw the all new ChatGPT desktop app.
And we saw all of the capabilities of GPT 5.6 Sol, Terra, and Luna,
and a little bit about how they were trained.
Next up, I'm going to be showing you a use case outside of the office
that I'm tremendously excited about.
Hiroki has been working with us for the last six months
and he's been using GPT 5.6 to really do something unexpected
and help him take care of his farm.
Let's have a look at his story.
I'm in the broccoli forest, but I don't know how to work in the forest.
I want to make a plan to understand how to make a place
in the forest.
I want to make a plan to understand how to make a plan
and understand how to make a plan.
I want to make a plan to understand how to make a plan.
and I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to understand how to make a plan.
I want to make a plan to make a plan.
I want to make a plan to make a plan.
I want to make a plan to make a plan.
I want to make a plan to make a plan.
I want to make a plan to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
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I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
for the next day.

I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
Hiroki-san.
Transport is back to your farm to share the magic.
Hiroki-san.
That's the magic of your farm.
I want to make a plan.
I want to make a plan.
Hiroki-san.
Hiroki-san.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
I want to make a plan.
Right now at our farm.
We're growing broccoli seeds.
telling the fields with tractors.
Harvesting broccoli.
And many other tasks all happening out of the month.
We'll start harvesting broccoli next week.
So once this live event is over,
I'll be heading back to Japan.
With just a small team.
We're managing a very large area of fields.
So improving efficiency is really important.
To do that, we're making use of ChatGPT
to help us with our farm work.
That's how we're moving things forward.
Yes.
You've really shared all of this from the very beginning.
Why did you do that?
And what were some of the reactions?
I've been sharing all of this.
I've been sharing all of this.
I've been sharing all of this.
I've been sharing all of this.
Why did you do that?
And what were some of the reactions?
What were some of the reactions?
What were some of the reactions to AI?
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