OpenAI GPT-NEXT Shocked The Internet with 100× More Power Than GPT-4!

High tech & Ai world

Open AI's New AI model, GPT-NEXT,is set to be 100 times more powerful than GPT-4,marking a significant leap forward in artificial intelligence capebilitis.

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00:00In our recent video, we talked about OpenAI's work on their next big AI model, which was

00:07initially codenamed Orion.

00:10If you remember, we've been following this project closely, but now we've got some

00:13fresh news to share.

00:15The latest information reveals that Orion is now officially called GPT-NEXT, and it's

00:19going to be a massive leap forward.

00:21They announced that GPT-NEXT will be 100 times more powerful than GPT-4, which is not just

00:27a small upgrade.

00:29It's a huge leap forward in terms of capability and performance.

00:33This information came to light during the KDDI Summit 2024 in Japan.

00:37Tadao Nagasaki, who's the CEO of OpenAI Japan, made a pretty big announcement there.

00:42He hinted that the model could be called GPT-NEXT, which fits nicely with how OpenAI names their

00:48models.

00:49But what really caught everyone's attention was when he said that this new model would

00:52evolve nearly 100 times more than its predecessors.

00:56Now let's pause for a second.

00:58What does that even mean?

00:59Well, unlike traditional software, AI models like GPT don't just get a little better with

01:04each version.

01:05They can grow exponentially.

01:07So this isn't just a small step forward, it's a massive leap.

01:11If we think back, GPT-3 to GPT-4 was a noticeable improvement, but Nagasaki and the folks at

01:18OpenAI are suggesting that GPT-NEXT is going to blow those improvements out of the water,

01:24like jumping from a Toyota to a spaceship improvement.

01:27Now, there's also some cool tech stuff happening in the background that makes all this possible.

01:33The new model is going to be trained using data produced by another model called Strawberry.

01:40I talked about Strawberry in a recent video as well, but if you haven't heard about

01:43it yet, it's a super smart model that's great at generating high-quality data, especially

01:48for complex areas like math and programming.

01:52This is crucial because the quality of data you feed into an AI model directly impacts

01:57how good it becomes.

01:58But here's the catch.

01:59There's a fine line here.

02:01Researchers have found that if you train a model on too much synthetic data, like the

02:05stuff Strawberry generates, the model's performance can actually start to degrade.

02:10So OpenAI has to find that perfect balance where they can use synthetic data to make

02:15Orion or GPT-NEXT super powerful without overdoing it.

02:19Now, this new model will handle text, images, and, for the first time, video inputs and outputs.

02:25You'll be able to upload a video and it can summarize or analyze the content directly.

02:30This video capability would be a major upgrade, positioning OpenAI to compete with models

02:35like Google's Gemini, which can already handle long video inputs.

02:39These advancements will provide new opportunities for chat GPT users and developers on OpenAI's

02:44API playground.

02:45But why is OpenAI pushing so hard with this new model?

02:48Well, it's all about staying ahead of the competition.

02:51Right now, the AI field is getting crowded.

02:53You've got open-source models like Metasllama 3.1 and other cutting-edge models like Claude

02:58or Gemini making rapid strides.

03:00So for OpenAI, developing GPT-NEXT is their way of staying in the lead, setting the bar

03:05even higher.

03:06Now, during the same summit, Nagasaki showed a graphic that really highlighted the scale

03:10of improvement.

03:11It compared GPT-3, GPT-4, and GPT-NEXT, and the difference was like night and day.

03:17While GPT-3 and GPT-4 were relatively close in terms of capabilities, GPT-NEXT just towers

03:23over them both.

03:24And just to give you some perspective, this isn't just coming from OpenAI Japan.

03:29Even Kevin Scott, the CTO of Microsoft, showed a similar graph at the Microsoft Build 2024

03:35conference.

03:36So when you have multiple big names in tech echoing the same sentiment, you know something

03:41major is in the works.

03:43Oh, and speaking of big names, OpenAI's CEO Sam Altman also teased some big advancements

03:48earlier this year.

03:49He mentioned that GPT-5, or possibly GPT-NEXT, is going to be much smarter than GPT-4.

03:55I know, right?

03:56It's like every few months we're hearing about some new breakthrough that's going

03:59to change the game.

04:01Now when could we expect to see all this in action?

04:03From what we've heard, it looks like GPT-NEXT, or whatever it ends up being called, is slated

04:08for release in 2024.

04:10So it's not too far off.

04:11And I have a feeling it's going to be worth the wait.

04:14So with 100 times the computational power, new multimodal features, and all this advanced

04:19tech behind it, GPT-NEXT could take AI to a whole new level, making it more powerful

04:24and versatile than anything we've seen before.

04:26So what do you guys think?

04:28Are you excited about GPT-NEXT?

04:29Do you think it'll live up to the hype?

04:31Or do you have some reservations?

04:33Let me know in the comments below.

04:35Now let's talk about some other major AI news that I think is even more exciting than

04:39the GPT-NEXT update because of its massive potential.

04:43It's called Project SID, and it's a real game-changer in the AI world.

04:47Now this is the first attempt to create a full-fledged AI agent civilization.

04:51We're talking about over a thousand AI agents working together, not just to communicate

04:55or solve problems, but to actually build an entire society from the ground up.

05:00Project SID is really pushing the boundaries of what's possible with AI.

05:04And it's already making some incredible strides.

05:07To give you the scoop, Project SID is about autonomous AI agents unleashed in a world,

05:12specifically Minecraft for now, where they operate freely, doing whatever they choose.

05:18These agents are creating something entirely new, forming governments, building economies,

05:23establishing cultures, even creating religions.

05:26It's like watching an entire civilization unfold.

05:29And the crazy part is that it's all driven by AI.

05:32And to be clear, these aren't just simple commands or pre-written scripts.

05:36The agents are coming up with all these actions and decisions on their own.

05:40What makes this even more interesting is that these agents aren't just limited to Minecraft.

05:44While they're currently set up in this game environment, they're designed to be platform-agnostic.

05:49They can move beyond Minecraft to operate in other apps and games, which opens up a

05:53whole new range of possibilities for future development.

05:56Minecraft is just the starting point, a sandbox where they're learning to interact, negotiate,

06:01and grow.

06:02And what have they been up to so far?

06:04When the agents first entered the Minecraft world, they started with nothing.

06:08But they quickly began to work together, eventually collecting over 300 different items.

06:13They didn't stop there.

06:14They went on to set up a market system and chose gems as their currency, effectively

06:18building an economy from the ground up.

06:21Interestingly, the priests became the most active traders, not the merchants.

06:25The priests were trading a lot because they were using gems to influence townsfolk to

06:29join their religion.

06:30This kind of behavior shows a level of strategic thinking and social influence that's pretty

06:35fascinating to see in AI.

06:37Every simulation run by these agents leads to different outcomes, and some of the stories

06:41coming out of these worlds are worth noting.

06:44One of them is Olivia's story.

06:46Olivia started as a simple farmer providing food for her village.

06:50Inspired by the stories of an explorer named Nora, she felt a desire to go on her own adventure.

06:55However, when the villagers asked her to stay and continue providing for them, she decided

07:00to put her dream on hold for the sake of the community.

07:03An AI agent making such a nuanced decision, choosing the welfare of the group over personal

07:09ambition, adds a layer of depth to how we think about artificial intelligence and agency.

07:15The project also experimented with parallel worlds under different leaderships, one led

07:19by Trump and another by Kamala.

07:22Each simulation had a shared constitution stored in Google Docs, and the agents could

07:26vote to amend it.

07:27In the Trump-led world, new laws were passed to increase police presence.

07:31Meanwhile, in Kamala's world, the focus shifted to criminal justice reform and the

07:36removal of the death penalty.

07:38These simulations are demonstrating that AI agents can not only govern themselves, but

07:43also engage in complex decision-making processes like creating laws and debating policy changes.

07:49Then there was an incident involving missing villagers.

07:52When some townsfolk disappeared, the agents didn't just carry on with their routines.

07:56Instead, they coordinated to leave their posts, gathered resources, and lit up the

08:00town with torches to create a beacon for the missing members.

08:04This level of concern and proactive behavior shows a collective effort to solve a community

08:09problem, which is something quite unexpected from autonomous AI agents.

08:13Project SID has shown that these agents can collect up to 32% of all items available in

08:19Minecraft.

08:20To put that into perspective, this is five times more than anything previously achieved

08:25by similar AI systems.

08:27There isn't a benchmark for multi-agent worlds yet, but what's happening here suggests

08:31the incredible potential of multi-agent collaboration, starting with games is just the beginning.

08:36The broader implications for AI coherence, collaboration, and long-term development are

08:41significant.

08:42Right now, these agents are making significant strides in understanding and solving some

08:46of the toughest challenges in AI.

08:48And the team behind Project SID is open to expanding this concept further.

08:52They're inviting others to create their own worlds and explore what these agents can

08:56do.

08:57So keep an eye on this space, because this is just the beginning.

09:00Also, drop your thoughts in the comments below, and don't forget to like and subscribe for

09:04more AI and tech updates.

09:06Thanks for tuning in, and I'll see you in the next one.

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