Does Open AI make Chat GPT-4 generally available

Does Open AI make Chat GPT-4 generally available

In the ever-evolving landscape of artificial intelligence, Open AI has consistently remained at the forefront of innovation. The latest marvel to emerge from their research labs is none other than Chat GPT-4, a highly anticipated successor to the groundbreaking GPT-3. With its vast language understanding and generation capabilities, Chat GPT-4 has ignited a fervent debate as to whether Open AI will follow its predecessors and make Chat GPT-4 generally available for public use. This article delves deep into the realm of AI progress, ethical considerations, and the potential societal impact, all centered around the pivotal question: *Will Open AI Make Chat GPT-4 Generally Available?*

The journey from GPT-3 to Chat GPT-4 marks a significant leap in AI advancement. GPT-3 astounded the world with its ability to compose human-like text, revolutionizing industries from content creation to customer service. Now, Chat GPT-4 promises to push the boundaries even further.

With an even larger model and reportedly enhanced contextual understanding, Chat GPT-4 highlights the remarkable advancements in natural language processing.

As whispers of its capabilities circulate, so too does speculation about Open AI  decision regarding its availability – a decision that carries implications far beyond technological prowess.

Amid the excitement surrounding Chat GPT-4’s potential, ethical considerations loom large. The question of whether Chat GPT-4 should be made generally available raises complex issues related to misinformation, bias, and control. Open AI ‘s previous experiences, notably with GPT-2’s controlled release, have shaped its approach to responsibly sharing advanced AI models. As discussions on AI ethics become increasingly urgent, the tension between innovation and societal well-being takes center stage. Striking the right balance will undoubtedly influence the path AI technology charts in the years to come.

The Evolution of AI: A Brief Recap

We’ve all witnessed Chat GPT-4’s capability to transform handwritten notes on a napkin into a fully functional website, encompassing the latest news. Despite a shift in focus away from vision, the recent days have seen a select group with complete access to multimodal Chat GPT-4 sharing glimpses of its potential. In this discussion, I aim to present not only the imminent developments in GPT-4’s vision but also highlight recent releases in text-to-3D, text inside 3D, speech-to-text, and even embodiment. We’ll explore how innovations in language and visual models are synergizing and gaining momentum. Let’s kick off with images. Do you recall Chat GPT-4’s technical report, where the model could manipulate a human into solving captchas? It appears that this might become unnecessary, as evidenced by its seamless resolution of captchas.

Thus, captchas are unlikely to impede Chat GPT-4’s efficiency. Moving on to medical imagery, the model demonstrated the ability to interpret a complex image and identify elements of a brain tumor.

Introducing Chat GPT-4: Unveiling the Next Frontier

In medical question testing, Chat GPT-4 demonstrated exceptional results, surpassing human performance levels even without the incorporation of vision. However, the inclusion of media in certain questions did impact GPT-4’s average performance.The much-anticipated revelation of Chat GPT-4’s multimodal capabilities is on the horizon, sparking anticipation for fascinating outcomes. Shifting focus to humor, these instances are not positioned as groundbreaking, but rather as demonstrations of GPT-4’s innate intelligence in deciphering the humor embedded in images. This underscores its nuanced understanding of humanity, with the observation that GPT-4 likely grasped the humor in this meme quicker than anticipated.

The General Availability Question

I also want to emphasize that it currently does not recognize faces due to privacy concerns. Whether this capability gets unlocked in the future remains uncertain. Nevertheless, it excels at reading menus and interpreting the physical environment, providing a valuable asset for individuals with visual impairments. Now, let’s delve into another remarkable ability of the vision model within Chat GPT—reading graphs and text from images. Its proficiency in interpreting intricate diagrams and captions is poised to revolutionize the world. For instance, it can comprehend a complex diagram and its corresponding caption from the recently released palm e-paper, a topic I covered in a video approximately three weeks ago. However, the real question is, how adept is it at extracting text from an image? To gauge this, let’s examine Chat GPT’s performance on the text VQA Benchmark. I’ve covered several other benchmarks in previous videos.

Addressing Ethical and Societal Concerns

Let’s delve into this aspect—notice GPT-4’s impressive score of 78, surpassing the previous state-of-the-art model at 72. To clarify, this evaluation primarily assesses text extraction from intricate images, as outlined in the original Text VQA academic paper with sample questions provided. For comparison, human performance, gauged at 85, is merely seven percent superior to Chat GPT-4. However, the relentless progression of these models persists, echoing the sentiment of Open AI ‘s vision co-lead:

scale is paramount until widespread acknowledgment materializes. The crux of this video is to spotlight the convergence of advancements, exemplified by the translation of a poorly written natural language or handwriting into a website and the transformation of text into code in Blender, generating intricate 3D models with captivating physics. This amalgamation is dissolving the boundaries between text, image, 3D, and embodiment, a trend reflected in the endeavors of other companies—Adobe, for instance, showcasing the editing of 3D images using text.

Addressing Ethical and Societal Concerns

How soon until we seamlessly transition from text to tangible models, all facilitated through natural language? The evolution extends beyond 3D creation; it encompasses interaction via text. Observe our ability to discern both textual elements and higher-level concepts within this intricate 3D environment, derived from 2D images captured by a phone. This recent paper, merely ten days old, introduces a language embedded within the model, enabling us to explore and identify abstract concepts such as “yellow,” “utensils,” or “electricity.” Although not flawless—evidenced by its struggle to recognize “Ramen”—it epitomizes cutting-edge technology, translating images into 3D through text interpretation.

But what if typing isn’t your preference, and you opt for voice interaction? A mere three weeks ago, I explored how voice recognition is poised to revolutionize everything, spotlighting Open AI  Whisper API. Now, the emergence of Conformer surpasses Whisper’s capabilities, as illustrated in the chart. Notably, Conformer exhibits fewer errors than Whisper in recognizing speech, and you can test it yourself using the link provided in the description.

The General Availability Question

While you’re perusing the description, don’t forget to leave a like and a comment to share if you’ve gained insights from this content. As anticipated, I personally tested it, and it performed exceptionally well in transcribing my recent GPT-4 video—only a few mistakes emerged in a 12-minute transcript.

Now, what’s on the horizon? Consider the trajectory outlined two years ago by Sam Altman. He foresaw that in the next five years, computer programs capable of thinking would read legal documents and provide medical advice. With Chat GPT-4 seemingly passing the bar on these fronts, Altman’s predictions are proving accurate. Looking forward, Altman envisions that in the next decade, these programs will undertake assembly line work and potentially even serve as companions, alluding to the physical embodiment of language models.

In the past, Open AI had a robotics team capable of impressive feats, exemplified by a robotic hand solving a Rubik’s Cube despite interruptions from a giraffe and a pen-wielding individual. While that team has since disbanded, Open AI has shifted its focus to investing in startups. Notably, they are leading a $23 million investment in 1X, a startup dedicated to developing a human-like robot. Explore the One X website for more details.

The Road Ahead: Open AI ‘s Vision for  Chat GPT-4

The One X website showcases a striking image, announcing their newest Android iteration, Neo, set to explore how artificial intelligence can manifest in a human-like body, scheduled for summer 2023. While humanoid robots may not be surprising for many, a familiar clip from Boston Dynamics demonstrates their advanced capabilities. Notably, robots need not adhere to a humanoid form, as illustrated in a recent demonstration from a paper just four days ago. This display involves climbing, balancing, and engaging with buttons, emphasizing that such advancements are not as distant as they might seem—assembly line robots with these capabilities are already commercially available.

Though mainstream embodiment might still have a way to go, the crucial point is the convergence of improvements in text, audio, 3D, and embodiment. These advancements, while individually fascinating and somewhat nerdy, hold the potential for revolution once they synergize and fuse together. As mentioned by Samuel Altman on the Lex Friedman podcast released yesterday, while embodiment might not be essential for AGI, it appears to be on the horizon. Share your thoughts in the comments, and have a wonderful day.


In the grand tapestry of technological progress, Open AI ‘s potential decision to make Chat GPT-4 generally available stands as a pivotal crossroads. As we reflect on the journey from GPT-3 to Chat GPT-4, it becomes evident that we are witnessing more than just the evolution of AI; we are witnessing the evolution of our own relationship with technology. The specter of Chat GPT-4 raises profound questions about responsibility, ethics, and the collective impact of our choices.

In the end, whether Open AI chooses to make Chat GPT-4 generally available or not, the decision will be a defining moment for the AI community and beyond. As we navigate the intricate terrain of innovation and ethics, it is imperative that all stakeholders actively engage in shaping the future of AI. Open AI commitment to responsible AI deployment is a testament to the realization that technology’s potential should be harnessed with care and foresight. Only through a harmonious collaboration between developers, policymakers, and society as a whole can we ensure that the capabilities of Chat GPT-4, or any future AI advancement, are harnessed for the greater good.

As we bid farewell to this exploration into the potential future of Chat GPT-4’s availability, we stand on the precipice of a new era. An era where the decisions we make today will ripple across generations, influencing the course of technological advancement and shaping the very fabric of human existence. Open AI ‘s journey is not just about developing AI; it’s about sculpting a path that aligns with our values, aspirations, and shared humanity. The question of whether Open AI ‘s will make Chat GPT-4 generally available transcends the realm of technology – it invites us to contemplate the kind of future we aspire to create together.

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