Starting April 30th, OpenAI is officially retiring the original GPT-4 model that launched in early 2023. It is being fully replaced by GPT-4.0, the next-generation evolution. Additionally, OpenAI is also removing GPT-4.5, which had only been released in late February 2025, after a mere two-month run.

The retirement of GPT-4.5 is particularly surprising, as it had quickly become a favorite tool among many users for its strong performance in creative writing and natural conversation. However, OpenAI is now introducing a new model, GPT-4.1, which is currently only accessible via the API, not within the ChatGPT interface.

GPT-4.1 comes in three versions: GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano. These models are designed for speed, providing almost instant responses to prompts. Despite the focus on speed, they are significantly smarter than their predecessors, outperforming even the GPT-4.5 model in several areas, such as coding and instruction following.

The key advantage of GPT-4.1 is its massive context window, supporting up to 1 million tokens (around 750,000 words) of combined input and output text. This allows the model to excel at tasks like the "needle in a haystack" benchmark, where it achieved 100% accuracy. Additionally, GPT-4.1 matches or even slightly edges out GPT-4.5 in areas like vision, math, and reasoning.

However, the most significant factor in the retirement of GPT-4.5 is the pricing. Using GPT-4.1 costs around $184 per million tokens, while GPT-4.5 with a 128,000 token context window cost $75 per million input tokens and $150 per million output tokens. This significant price difference makes the decision to replace GPT-4.5 with the more capable and efficient GPT-4.1 a logical choice for OpenAI.

OpenAI has introduced a new model, GPT-4.1, which is set to replace the previous GPT-4.5 model. While GPT-4.5 had a relatively short lifespan of just two months, the new GPT-4.1 model brings some significant improvements.

GPT-4.1 is currently only accessible via the API, not within the ChatGPT interface. However, it comes in three versions: GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano. These models are designed for speed, providing almost instant responses to prompts.

Despite the focus on speed, these new models are significantly smarter than their predecessors. GPT-4.1 outperforms the previous GPT-4.5 model in several areas, including coding, where it surpasses even the high-performing GPT-4.1 (also known as GPT-4.1 Pro) and GPT-3 Mini models.

One of the standout features of GPT-4.1 is its massive context window, which supports up to 1 million tokens (around 750,000 words) of combined input and output text. This allows the model to handle complex tasks that require accessing and reasoning with a large amount of information.

In terms of pricing, GPT-4.1 costs around $184 per million tokens, which is more expensive than the previous GPT-4.5 model, which was priced at $75 per million input tokens and $150 per million output tokens. This pricing change likely contributes to the decision to retire the GPT-4.5 model.

Overall, the introduction of GPT-4.1 and its powerful features, such as the large context window and improved performance in areas like coding and problem-solving, represent a significant advancement in OpenAI's language model capabilities.

OpenAI has introduced two new models, GPT-3.5 and GPT-4 Mini, that are designed to be "thinking models." Unlike the instant response models, these new models pause and reason through the question before providing a response. This results in a slower but more accurate and refined answer.

These models excel in areas such as math, logic, problem-solving, and coding. For example, GPT-3 without any additional tools scored 88.9% on a competitive math benchmark, while GPT-4 Mini hit 92.7%. Furthermore, these models can integrate images into their reasoning process, allowing them to use both text and visuals to solve problems.

The models' ability to dynamically use tools, such as web searches and code execution, during their internal reasoning phase is a significant advancement. They can perform multiple searches, assess the results, and launch new searches to gather the necessary information before providing a final answer.

When these models are enabled with tools like Python, their performance reaches new heights. On a 2025 math competition benchmark, GPT-3 with Python scored 98.4%, while GPT-4 Mini with Python scored an impressive 99.5%.

Additionally, these models are reportedly capable of generating truly original ideas, potentially leading to breakthroughs in fields like materials science and drug discovery. This capability is seen as a key component in OpenAI's pursuit of artificial general intelligence (AGI).

Overall, the introduction of these "thinking models" represents a significant step forward in the development of advanced AI systems that can integrate multiple sources of information, reason dynamically, and deliver highly accurate and innovative solutions.

OpenAI has introduced a series of new models that showcase impressive capabilities. The GPT 4.1 models, including 4.1, 4.1 Mini, and 4.1 Nano, are designed for speed while maintaining significant improvements over previous versions.

These models excel in various areas:

• Coding: GPT 4.1 outperforms previous models like 4.5, 01 Pro, and 03 Mini in coding tasks.
• Instruction Following: While not quite matching the depth of models like 4.5 and 03 Mini, the 4.1 series still demonstrates strong instruction following abilities.
• Context Window: The massive 1 million token context window of GPT 4.1 allows it to excel at tasks like the "needle in a haystack" benchmark, achieving 100% accuracy.
• Pricing: At $184 per million tokens, GPT 4.1 is more cost-effective than the retired GPT 4.5, which was priced at $150 per million output tokens.

OpenAI has also introduced GPT 3.5 and GPT 4 Mini, which are "thinking models" that pause and reason through questions before responding. These models demonstrate impressive performance in math, problem-solving, and coding, even outperforming previous versions when using tools like Python.

The ability of these new models to integrate images into their reasoning process and utilize various tools during their internal thinking phase is a significant advancement. They can perform tasks like forecasting energy consumption, generating charts, and explaining their reasoning in a comprehensive manner.

Furthermore, there are reports that these models, particularly GPT 3 and 4 Mini, may be capable of generating truly original ideas, potentially leading to breakthroughs in fields like materials science and drug discovery. This capability is seen as a key step towards artificial general intelligence (AGI).

Overall, the impressive capabilities of these new models, from their speed and context window to their reasoning and problem-solving abilities, showcase the rapid progress being made in the world of AI.

A recent article from The Information highlighted a game-changing aspect of the new GPT-3.5 and GPT-4 Mini models. These models are reportedly capable of generating truly original ideas, going beyond just answering questions.

The article notes that if these models live up to the early access feedback, they could soon start offering fresh, innovative solutions to complex problems. This includes the ability to design entirely new materials or even help discover novel drugs. This type of capability is seen as a key component in OpenAI's pursuit of Artificial General Intelligence (AGI), where systems can match or exceed human performance in a wide range of economically valuable tasks.

Interestingly, the article points out that these models can independently synthesize ideas across different domains, like physics and engineering, without the need for collaboration across disciplines. This is reminiscent of the deep cross-disciplinary knowledge that led to revolutionary inventions and discoveries by figures like Nicola Tesla and Richard Feynman.

While there are no confirmed examples yet of the GPT-3.5 or GPT-4 Mini models producing brand new materials or drugs, the report suggests they are either capable of this now or on the verge of it. This represents a significant leap in the capabilities of these language models, moving beyond just answering questions to actively generating original and potentially groundbreaking ideas.

Another impressive and slightly creepy development is how good these models are at geolocating from images. Ethan Mollik shared some wild examples on X showing how GPT-3 can pinpoint locations in photos with almost frightening accuracy. It uses a combination of visual clues, web searches, and reasoning - zooming in, reading text, identifying objects - to make smart, eerily precise conclusions.

One image showed it nailing a location right down to the exact coordinates. In another example, they asked the model to guess where a photo was taken. The AI picked up on subtle details like yellow-on-black license plates, left-hand drive vehicles, colonial-style homes with louvered shutters, and even deduced the region based on shop signage that used the Latin alphabet but didn't look Spanish or Portuguese. It concluded the image was from Paramaribo, Suriname, and it was spot-on.

The combination of detailed observation and reasoning here is next-level. It's not just about recognizing things in a picture anymore - these models are starting to understand the context in a way that feels very human.

In addition to the major model updates, OpenAI has also introduced a new developer tool called Kodiex CLI. This command-line interface is designed specifically for coding tasks, allowing developers to type in instructions and have the agent guide them through the coding process step-by-step, handling tasks almost autonomously.

While the tool hasn't been personally tested yet, the idea behind Kodiex CLI is to provide an intelligent coding assistant that can help streamline the development workflow. By leveraging the capabilities of OpenAI's language models, the tool aims to enhance productivity and efficiency for coders.

Furthermore, reports suggest that OpenAI is also in discussions to acquire a company called Windinsurf, a powerful AI-driven coding platform that offers a similar experience to tools like Cursor. This acquisition, estimated to be worth around $3 billion, indicates OpenAI's growing ambitions in the AI-powered coding space.

The introduction of Kodiex CLI and the potential Windinsurf acquisition showcase OpenAI's commitment to expanding its offerings beyond language models and into the realm of intelligent developer tools. These advancements could significantly impact the way developers work, potentially automating various coding tasks and enhancing the overall coding experience.

According to reports, OpenAI is currently in discussions to acquire a company called Windinsurf, a deal estimated to be worth around $3 billion. Windinsurf is essentially a powerful AI-driven coding platform, a customized version of Visual Studio Code enhanced with intelligent autonomous agent capabilities. This acquisition could be a significant move for OpenAI, as it would allow them to further expand their presence in the AI-assisted coding space.

The report suggests that OpenAI may have initially explored acquiring Cursor, another AI-powered coding tool, but the high valuation of Cursor, estimated at $10 billion, led OpenAI to consider Windinsurf as a more budget-friendly alternative. If the acquisition of Windinsurf goes through, it could provide OpenAI with a powerful platform to integrate their advanced language models, such as GPT-3.5 and GPT-4 Mini, into the coding process, offering users an even more seamless and intelligent coding experience.

This potential acquisition aligns with OpenAI's broader strategy of expanding its reach in the AI-powered coding and development space. The introduction of their Kodiex CLI tool, a command-line interface designed specifically for coding tasks, is another example of their efforts to enhance the coding experience with AI-driven capabilities.

Overall, the potential acquisition of Windinsurf could be a significant step forward for OpenAI, allowing them to further integrate their advanced language models into the coding workflow and provide users with an even more powerful and intelligent coding assistant.

According to recent reports, OpenAI is planning to release a new and upgraded version of their GPT-3 model, called GPT-3 Pro. This new model is expected to be made available to users on the $200 per month pro tier in just a few weeks.

Considering how powerful the current GPT-3 model already is, the GPT-3 Pro version could represent a significant leap forward in performance and capabilities. While the exact details of the upgrades are not yet known, it is likely that the new model will offer enhanced abilities in areas such as problem-solving, coding, and multimodal reasoning.

Given OpenAI's track record of continuous innovation and the rapid advancements in their language models, the release of GPT-3 Pro is highly anticipated by the AI community. As users eagerly await the launch, it will be interesting to see how this new model compares to the current state-of-the-art in natural language processing and whether it can further push the boundaries of what is possible with large language models.

According to reports, OpenAI is exploring the idea of launching its own social media platform, potentially modeled after X (formerly Twitter). While details are scarce, it's been noted that OpenAI CEO Sam Altman has been privately gathering feedback on this concept.

Whether this idea becomes a reality or not, the mere rumor of OpenAI venturing into the social media space has stirred up considerable conversation. Given OpenAI's reputation for innovative and powerful AI technologies, the prospect of an OpenAI-backed social media platform has piqued the interest of many in the tech community.

It remains to be seen if OpenAI will pursue this endeavor, but the potential implications of such a move could be significant. As the company continues to push the boundaries of AI capabilities, the integration of these advancements into a social media platform could offer unique and compelling features for users.

The rapid advancements in OpenAI's language models, including the retirement of GPT-4 and the introduction of GPT-4.1, GPT-3.5, and GPT-4 Mini, showcase the company's commitment to pushing the boundaries of AI capabilities. These new models boast impressive performance in areas like coding, math, problem-solving, and multimodal reasoning, demonstrating their potential to revolutionize how we work, create, and code.

The introduction of GPT-4.1, with its massive context window and competitive pricing, highlights OpenAI's strategic decision-making in the AI landscape. The ability of GPT-3.5 and GPT-4 Mini to pause, reason, and integrate tools and visuals into their thought process further underscores the growing sophistication of these models.

The reports of these models' potential to generate original ideas and solutions, akin to the work of renowned scientists and inventors, suggest that OpenAI is making significant strides towards artificial general intelligence (AGI). Additionally, the impressive geolocation capabilities showcased by GPT-3 highlight the models' ability to understand and reason about the world in a remarkably human-like manner.

With the introduction of the Kodiex CLI and the potential acquisition of Windinsurf, OpenAI is positioning itself as a leader in the AI-driven coding space, offering developers powerful tools to enhance their productivity and creativity. The rumored exploration of a social media platform further suggests the company's ambitions to expand its reach and influence in the tech industry.

Overall, the updates and developments covered in this transcript demonstrate OpenAI's relentless pursuit of innovation, pushing the boundaries of what is possible with AI and positioning itself as a driving force in the rapidly evolving world of artificial intelligence.