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- GPT-6 Unveils Surprising New Abilities in Exclusive GPT5, GPT-6, GPT-7 Document Revelation
GPT-6 Unveils Surprising New Abilities in Exclusive GPT5, GPT-6, GPT-7 Document Revelation
Discover the groundbreaking information on GPT-5, GPT-6, and GPT-7 revealed in a recent document. Explore the future of AI development, including insights on iterative deployment and the strategies for early technology release.
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1. Revealing the AI Insights 🔍
Exploring publicly available information about GPT-5, GPT-6, and GPT-7.
2. The Future of AI Development 🚀
Delving into the timelines and strategies for AI development through iterative deployment.
3. Iterative Deployment Strategy 💡
Understanding the concept of slowly releasing technology to allow society to adapt.
4. Unveiling Publicly Verified Information 📜
Exploring trademarks and their implications on AI models like GPT-6 and GPT-7.
5. Speculation Around GPTV 🤔
Discussing the speculation and potential implications of the GPTV trademark.
6. The Mysterious Trademark
OpenAI's trademarking of VTest and the anticipation around it.
7. Unveiling GPT-5
Exploring the trademark and upcoming features of GPT-5.
8. The Evolution to GPT-6
Analyzing the trademarks of GPT-5 and the new capabilities of GPT-6.
9. Music Generation in GPT-6
Revealing the surprising addition of music generation in GPT-6.
10. Jukebox: A Musical Innovation
Delving into OpenAI's past ventures in music generation with Jukebox.
11. Music Generation Breakthrough 🎶
Exploring Dukebox and its wide range of music styles and lyrics by GPT-4.
12. Future Abilities of GPT-6 🚀
Discussing the potential features of GPT-6, including music generation and AI agents.
13. The Exciting Future Ahead 🌟
Speculating on the impact of upcoming AI advancements and potential breakthroughs.
14. Anticipating GPT-7 Innovations 🤖
Comparing the expected advancements in GPT-6 and GPT-7 in music generation and AI agents.
15. Introduction 🌟
Discussion on the pressure faced by companies to release new models.
16. GPT 6 and Beyond 🚀
Exploring the potential abilities of GPT 6, music generation, and AI agents.
17. Innovations Held Back 🤔
Challenges faced in releasing new technologies like sound and image effects.
18. OpenAI's Strategy 🎯
Analysis of OpenAI's approach due to lack of external pressure and market dominance.
19. Revolutionary AI Agents 🤖
Insights into the impact of AI agents and the potential future developments.
20. Claude's Dilemma 🤨
Issues with the underused Claude model and its limitations.
21. Current AI Landscape 🌐
Comparison of LLMs like Claude and Chat GPT in the AI market.
22. The Importance of Safety in AI Development
Advocating for prioritizing safety in AI deployment.
23. Challenges Faced by Visionary Companies
Exploring the lack of pressure on visionary companies to release products.
24. Comparison Between Runway and Sora
Analyzing the superiority of Sora over other models in the video space.
25. OpenAI's Potential Dominance
Discussing OpenAI's advancements and potential to outperform competitors.
26. Trademarking GPT-6 and GPT-7
Unveiling the trademarking timeline and its implications on AI development.
27. Future Speculations on OpenAI
Considering potential changes and developments in the landscape of AI.
28. The Potential Power of AGI and ASI
Implications of advanced AI technology in the hands of governments.
29. Speculation vs. Reality
Debating the feasibility of advanced AI features like in GPT-6 and GPT-7.
30. Engaging with Viewers
Encouraging audience feedback and discussions on AI advancements.
Video Transcript
So there is actually a crazy piece of information that I think I should share with you all
because I was recently browsing on the web and I discovered some publicly available information
about GPT-5, GPT-6, and surprisingly GPT-7. And I think you guys are going to want to see this.
So without further ado, let's jump into the future timelines of how AI is going to be developed.
So one of the first things that you do need to know about and this is essentially the theory
of iterative deployment. Now, essentially this clip you're looking at is a recent interview
between Sam Altman and Pat Gelsinger, who is the CEO of Intel, and essentially he's talking
with Sam Altman about the future. Now, there are two key things discussed, which is why I want
to talk to you guys about these clips first, because they actually do set the precedent for
the information I'm about to share with you guys. That is, of course, publicly available.
So, watch this clip. The first two things he talk about is, of course, the $7 trillion,
and then he talks about the iterative deployment. If you don't know what that means,
That's basically where Sam Altman and some others from OpenAI have basically suggested that they have to release the technology slowly in order for people to catch up in terms of like how society is going to react to the technology.
And part of our strategy, what we call iterative deployment, is that we want to put these things out into the world early so that people can adapt and think and provide input and that we can be ready for the magnitude of change that will come over time.
So I think that's great. Yeah, getting them out there early people test them right, you know finding the flaws that
That's how things get better. Yeah, but so from that last part of the clip
You can see that where they talk about interest of deployment
That is where they essentially state that they're going to incrementally upgrade the software
This isn't by the way the first time that open eye have clearly stated this before there was actually a tweet
And essentially you can see here this is where Sam Almond once again
says, iterative deployment is, in my opinion, the only safe path and the only way for people,
society, and institutions to have time to update and internalize what this all means. Now,
whether you stand on the theory that this is because OpenAI are far ahead or because they want
to safely roll out the technology, either way, we know that they're not going to be just doing
these massive behemoth updates that they previously usually did. Now, this is why the information
in the other box show you actually does make sense because if we can take the precedent
and knowing that open AI is going to slowly introduce their models into the world, then
we could argue that potentially open AI are probably further ahead than they may give.
So essentially I'm going to be covering some quote unquote leaks and I don't think these
are qualified as leaks because it's actually publicly verified information.
So essentially what this is is this is a website where you can view trademarks and trademarks
are basically just you know like a word or a saying or a phrase essentially where you
You can copyright it in a sense to that nobody else can use that in their product.
So for example, just to prove that this is something that OpenAI did and that they are doing
and that of course companies do do like a lot of big companies that want to protect their
branded name because of course they don't want random people staying their stuff, saying
they're affiliated with them when they're not.
Now pay attention to the dates because this is how I actually found out the information
about GPT 6 and GPT 7 because I paid attention to the dates and some key pieces of information
that were listed on this website.
So you can see right here that it says there's a mark image Sora. So they've registered this trademark
You can see that the application date was actually 2024 now this right here
You can see is the 14th of February so on February the 14th they trademarked Sora now
Why is that in pretty interesting because if we take a look at this the next day to simply a day later
We can see the opening eye said introducing Sora our text to video model
Sora can create videos of 60 seconds yada yada yada and we all know where that led to so this is of course something that
does make sense. This is of course something that, you know, companies are going to do,
but essentially the reason why this was so fascinating was because there is a lot more information
that you can see on this webpage that includes the future models. Now one thing that I quickly
do want to discuss quickly, that is pretty crazy, is that essentially a couple days after they