GPT 5 — The New AI Era is Here! Features EXPLAINED
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Summary
In this video, the creator AI Master discusses the anticipated release and features of GPT 5, a groundbreaking update from OpenAI. Highlighting the transition from GPT 4.5, the video delves into how GPT 5 aims to unify various AI models, enhancing their reasoning, memory, and multimodal capabilities. Despite facing developmental challenges, GPT 5 promises to offer a more seamless AI experience, potentially functioning as an "Omni model" that adapts to user needs across numerous tasks without switching modes. This evolution could redefine AI interaction, leaning closer to the concept of Artificial General Intelligence (AGI) though not fully achieving it yet.
Highlights
Sam Altman declares GPT 5 will unify AI models, removing the 'model picker'. 🌟
GPT 4.5, codenamed Orion, stands as the last non-chain of thought model. 💡
GPT 5 hopes to merge massive knowledge with advanced reasoning from smaller models. 🔗
Delays due to budget and data sourcing issues, with the latest training phase ongoing. 💰
OpenAI aims for GPT 5 to handle multimodal inputs, promising broader versatility. 🎵
GPT 5 could mark a paradigm shift, though not yet reaching true AGI. 🧠
The upcoming model is viewed as a flagship intelligence integration system. 🎯
Commercial availability might start as early as mid-2025, sparking AI advancements. 🚀
Key Takeaways
GPT 5 aims to unify O series and GPT series models for a seamless AI experience. 🌟
Despite delays and budget overruns, OpenAI continues to innovate with GPT 5's development. ⏳
GPT 5 could function as an 'Omni model,' offering vast knowledge and task adaptability. 🌐
New multimodal capabilities may allow GPT 5 to process text, images, audio, and video. 🎥
GPT 5 promises improved reasoning with a 'chain of thought' process. 🧠
Commercial release is expected in mid-2025, with anticipations of significant AI evolution. 🚀
Overview
Sam Altman and OpenAI are gearing up for the release of GPT 5, a significant update that promises to unify their AI models into one cohesive system. This follows the launch of GPT 4.5, which marked the end of their non-chain of thought models. The vision for GPT 5 is to integrate the expansive knowledge of large models with the detailed reasoning capabilities found in smaller, more specialized ones. This advancement, though complex, aims to eliminate the need for users to select which AI model to use, making interactions more fluid and intuitive.
The development journey for GPT 5 has been challenging, with issues surrounding budget overspending and data acquisition. Despite setbacks and delays, OpenAI remains committed to refining GPT 5's capabilities. The new model is anticipated to feature enhanced multimodal capacities, allowing it to process not only text but also images, audio, and potentially video. This versatility could revolutionize how users interact with AI, extending its usefulness across various domains seamlessly.
Expected for a potential public release in mid-2025, GPT 5 represents a crucial leap toward a more advanced form of AI that approaches, but does not fully achieve, Artificial General Intelligence. Its innovative integration may set new standards in the industry, reflecting OpenAI's ongoing quest to push the boundaries of technology and cement its role as a leader in the artificial intelligence landscape. As anticipation builds, the world watches to see how GPT 5 will perform in real-world applications.
Chapters
00:00 - 00:30: Introduction to GPT 5 In the introductory chapter titled 'Introduction to GPT 5,' the focus is on the anticipated release and features of GPT 5, as teased by Sam Alman. Leading up to the public release of GPT 4.5, Sam promised that GPT 5 would follow within a few months, positioning it as a major update. The chapter promises to illuminate the differences introduced in GPT 5, outline how this update will alter user interactions with CAD GPT, and hints at potential significant challenges that might accompany the new version. A specific update on February 12th, posted by Sam on X, adds further context to these forthcoming changes.
00:30 - 01:00: Complexity and Simplification in OpenAI Models The chapter discusses the complexities and simplification efforts in OpenAI's model lineup. Users noticed a division in the models, where some were fast and light, and others were slower but more thoughtful. OpenAI had not clarified the reasons behind this division until Sam Altman addressed it. In his post, Altman acknowledged the complexity and expressed a commitment to simplify by aiming for a 'Magic Unified Intelligence.' He mentioned the development and forthcoming release of an intermediate model, version 4.5, as part of the simplification road map.
01:00 - 01:30: Overview of GPT 4.5 and Codename Orion The chapter discusses the recent update to GPT 4.5, which was internally codenamed 'Orion'. This name had appeared in earlier rumors connected with 'GBT'. GPT 4.5 is noted as the last non-chain of thought model in OpenAI's lineup, marking the end of scaling up the classic GPT architecture. A significant transition to a new approach with GPT 5 is indicated. Despite this evolution, the chapter suggests that the current methodology for prompting is expected to remain unchanged, suggesting users adapt to its workings.
01:30 - 02:00: Prompting Guides and Improvements in GPT 4.5 The chapter titled 'Prompting Guides and Improvements in GPT 4.5' discusses various resources available at Geek Academy for enhancing prompting skills, including guides tailored for developers, data analysts, and writers. It highlights the availability of specific prompt styles like 'dolly' and 'Grog 3', as well as 'midjourney' prompts. Additionally, it mentions exclusive video lessons on AI and built-in AI tools. The chapter also covers the improvements in GPT-4.5, noting its more natural conversational style, increased emotional awareness, broader knowledge base, and reduced likelihood of hallucinating facts compared to GPT-4.0.
02:00 - 02:30: Limitations of GPT 4.5 The chapter discusses the limitations of GPT 4.5, highlighting that it lacks step-by-step reasoning capabilities, unlike its predecessor GP01. It's described as more of a 'brute force intellect' rather than a 'careful reasoner.' The chapter also notes that OpenAI does not regard GPT 4.5 as a groundbreaking advance in AI, and they removed a line from the white paper indicating it is not a frontier model shortly after its launch. This move likely intended to manage public expectations, suggesting that GPT 4.5 is merely a transitional stage rather than the ultimate development in AI technologies.
02:30 - 03:00: Roadmap to GPT 5 The chapter 'Roadmap to GPT 5' outlines the future plans for the development of GPT-5 as described by Alman. Key objectives include unifying the O series and GPT series models into one integrated system. The new GPT-5 is expected to harness all available tools, make executive decisions on whether to think extensively or respond quickly, and cater to a broad spectrum of tasks without requiring user intervention for settings adjustments. This represents a significant step towards creating a more adaptable and autonomous AI.
03:00 - 03:30: Challenges in GPT 5 Development The chapter discusses the development of GPT-5, highlighting the integration of the advanced reasoning module into its core. Sam Altman mentioned that GPT-3 would no longer be released as a separate model but would be integrated into GPT-5's unified intelligence. Altman hinted at a possible release of GPT-5 within weeks to months, potentially by spring or summer, depending on the progress of development.
03:30 - 04:00: Technical and Infrastructure Challenges for GPT 5 The chapter titled "Technical and Infrastructure Challenges for GPT 5" discusses the delay and challenges faced during the development of GPT-5. It highlights the suspense and anticipation around its release in 2024, influenced by persistent rumors about the delays and financial overruns in its development. A significant aspect is the report that each major training run could cost up to $500 million, emphasizing the substantial infrastructure demands and technical hurdles that OpenAI needs to tackle in the process.
04:00 - 04:30: AI Integration with Geek Academy The chapter discusses the integration of AI at Geek Academy. It explores the challenges and discoveries made during the development of AI models. Despite running massive training cycles, the new AI prototypes did not significantly surpass the performance of GBT4. This led to the abandonment of the 'just make it bigger' approach, highlighting data limitations as a major issue. The focus was on the vast amount of data, around 13 trillion tokens, that GBT4 was trained on, and the need for innovative strategies beyond simply increasing model size.
04:30 - 05:00: Staff Changes and External Perception OpenAI faced challenges in improving their model, needing more high-quality training data which was scarce on the internet by mid-2023. They attempted a new training run, Aricus, for a different architecture for GBT5, but it proved inefficient both in terms of speed and cost. The results were disappointing, highlighting that developing GBT5 would not be a straightforward process as hoped.
05:00 - 05:30: Features and Expectations for GPT 5 In this chapter titled 'Features and Expectations for GPT 5,' OpenAI made strategic changes to enhance the design of GPT-5. The team focused on regathering their efforts, modifying the architectural design, and actively searching for new and diverse data sources. They went a step further by employing experts to develop specialized training materials, including code and math problems, aiming to push beyond the existing internet content. By early 2024, after some minor training runs to build assurance, a substantial training phase commenced in May and was projected to run until November. This time, OpenAI employed meticulously selected data to refine the model, marking a significant step in its development process.
05:30 - 06:00: Chain of Thought Reasoning and Model Selection The chapter discusses the challenges faced while working on a project with insufficiently diverse data sets. It highlights the difficulty in recognizing missing elements in the data until far into the project. Starting over was not feasible due to time and financial investments, leading the team to quickly add more data during training. However, it remains uncertain if this solution worked perfectly. By late 2024, GBT5 encountered significant issues, emphasizing the availability of various AI tools to address diverse tasks, and the importance of selecting the right one.
06:00 - 06:30: Rumored Architecture and Model Scalability The chapter discusses the newly launched AI toolfinder by Geek Academy, allowing users to find the best AI tools for their needs and to ask follow-up questions. It highlights the AI Art Studio, a feature for generating images. Moreover, Geek Academy has introduced an exclusive course on generative AI, which is continuously updated, aiming to transform learners from novices to experts.
06:30 - 07:00: GPT 5 Capabilities and Versatility The chapter discusses the capabilities and versatility of GPT-5, highlighting its potential as an exceptional platform for AI enthusiasts. It offers educational content, guides, curated tool lists, exclusive videos, and even the ability to chat with a virtual version of the narrator, suggesting a highly engaging and interactive experience for users.
07:00 - 07:30: Future of AI Collaboration In the chapter titled 'Future of AI Collaboration,' the discussion centers around the challenges faced in the development of GBT5. Notable AI investor Kyu Lee expressed concerns over the progress, indicating that the training has not been smooth, and questioning the timeline for achieving Artificial General Intelligence (AGI). Initially, there was an expectation for AGI within three years, but Lee considers this prediction overly optimistic. The anticipated release of GBT5, originally slated for late 2024, is now expected by mid-2025 according to Lee. This delay was further corroborated by a recent tweet from Sam, suggesting that even the mid-2025 timeline might be extended if necessary, reflecting the cautious approach of OpenAI towards achieving these ambitious milestones.
07:30 - 08:00: Integration and Personalization in GPT 5 The chapter titled 'Integration and Personalization in GPT 5' explores the transformative leap introduced by GPT 5, describing it as more than just an upgrade. It signifies a shift towards a unified intelligence model that consolidates multiple functionalities into a single entity, moving away from the patchwork approach of previous iterations. The chapter provides context by referencing GPT 4.5, launched in February 2025, which was the largest model by OpenAI at that time. It utilized more computational resources and data than ever before, representing the peak of the traditional GPT scaling strategy, characterized by an increase in neurons and data.
08:00 - 08:30: Understanding AGI and User Perception The chapter "Understanding AGI and User Perception" explores the capabilities and limitations of GPT-4.5. While its large size offers advantages like deeper world knowledge and a higher emotional IQ, it reveals limitations in reasoning-heavy tests. GPT-4.5 struggles to compete with smaller AI models optimized for step-by-step reasoning, such as those from Anthropic and OpenAI's own models, when tackling complex math or logic puzzles. This highlights that size alone does not guarantee success, and emphasizes the importance of careful reasoning in artificial general intelligence.
08:30 - 09:00: AI Industry Competition The chapter titled 'AI Industry Competition' discusses the limitations of the existing approach of simply increasing data and compute power to enhance AI models, as evidenced by the plateau in performance with GPT 4.5. In response, OpenAI plans to introduce GPT-5 as a solution, which merges the extensive knowledge base from the GPT-4 series with the focused, sequential reasoning capabilities of their 'O' series models. This combination aims to address ongoing challenges in the field.
09:00 - 09:30: Release Expectations for GPT 5 OpenAI is planning on integrating 'chain of thought reasoning' into GPT-5. This feature allows AI to internally document its reasoning process before presenting a conclusion. While earlier models like the O series (0.1 and 0.3) have utilized chain of thought effectively, they lacked the extensive knowledge of GPT-4.5. GPT-5 aims to combine this detailed reasoning with an equal breadth and flexibility to GPT-4.5. Consequently, OpenAI’s CEO, Sam Altman, believes that a model picker—a tool to choose the best AI model for a specific task—will become unnecessary with the launch of GPT-5.
09:30 - 10:00: Conclusion and Future Prospects In this chapter, the text discusses potential future developments and prospects for AI technology. It highlights the possibility of significant advancements in AI design, particularly with the development of GBT. The potential for GBT appears to include more than just minor adjustments to the existing GPT framework. One intriguing rumor from 2024 suggests the adoption of a mixture of experts architecture, which involves multiple specialized smaller models operating within a larger AI system. This implies a move towards more sophisticated and nuanced AI capabilities, allowing for automatic switching between quick, responsive outputs and more detailed, thoughtful processing.
GPT 5 — The New AI Era is Here! Features EXPLAINED Transcription
00:00 - 00:30 sam Alman teased the GBT 4.5 weeks before its public release and then he promised to deliver the GBT in a few months from that and it's shaping up to be the biggest grandest update we've ever seen by the end of this video you will know exactly what GBT5 will do differently how it's going to change the way we all use Cad GBT and most importantly what its biggest potential problem might be on February 12th Sam posted a detailed update on X about these two and
00:30 - 01:00 this was a huge deal because users had noticed a strange split in models some were fast and light while others were slower and seemed to think openai hadn't really explained why and Sam's post changed that he admitted that their product lineup was too complicated and promised to simplify things the key quote was "We hate the model picker as much as you do and want to return to Magic Unified Intelligence." So what did the road map reveal first Altman confirmed an in-between model called 4.5 was in the way a few weeks after that
01:00 - 01:30 tweet we got the update here's a fun tidbit internally 4.5 was codenamed Orion which is the same name tied to the mysterious GBT in earlier rumors gbt 4.5 is officially the last non-chain of thought model in OpenAI's lineup it's the final stage of the old approach scaling up the classic GPT architecture before the company switches to whole new method with GPT5 it's unlikely the prompting game will change with the GBT 5 so you should start learning how to
01:30 - 02:00 prompt right now for this check out our prompting guides in Geek Academy here's a guide into prompting for developers here's prompting for data analysts writers and so much more dolly prompts Grog 3 prompts midjourney and exclusive video lessons about AI and some built-in AI tools to try as for GPT4.5 I've tested it almost every day and it feels more naturally conversational and emotionally aware than GPT40 its knowledge base is broader and it's a bit less likely to hallucinate facts overall
02:00 - 02:30 it's a strong upgrade but it does not do the stepby-step reasoning GP01 can it doesn't think before it responds as OpenAI's blog said it's more of a brute force intellect than a careful reasoner also OpenAI doesn't view it as a true frontier advance in AI just hours after launch they removed a line from its white paper stating it's not a frontier model probably to keep people's expectations in check clearly GPT4.5 is just a stepping stone not the final stop
02:30 - 03:00 alman's road map post then revealed the real destination GPT5 and he said the top goal for us is to unify O series models and GPT series models in other words GPT5 will merge these two brains into one according to him this next system should use all our tools know when to think for a long time or not and generally be useful for a very wide range of tasks practically speaking GPD5 should be able to decide on its own when to take extra time to reason or when to give a quick reply no user settings
03:00 - 03:30 needed it's a bit like how Claude 37 works a hybrid approach gpt5 will also include their most advanced reasoning module in its core sam Alman even said 03 will no longer be released as a separate model it'll be part of GPT5's unified intelligence alman wouldn't commit to a precise release date but he teased a rough timeline of weeks months gpt5 could arrive as soon as spring or maybe by summer if all goes smoothly after the
03:30 - 04:00 long silence of 2024 the message suddenly became "Just hang on gpd5 is almost [Music] here." Developing GPD5 has been a story of setbacks and perseverance late last year rumors started circulating that GBD5's development was falling behind schedule and blowing its budget a Wall Street Journal leak suggested each big training run for GBD5 might cost around $500 million in compute power openai
04:00 - 04:30 reportedly ran at least two massive training cycles and discovered new problems both times with results that failed to deliver the big breakthroughs they were hoping for at best the early GBT prototypes were only a bit better than GBT4 not the huge leap Open AI wanted that's when the just make it bigger plan went out the window one major sticking point now is data gbt4 was trained on around 13 trillion tokens of text a mind-boggling amount for GBT5
04:30 - 05:00 to improve meaningfully it needs even more highquality training data but OpenAI hit a point where the public internet just doesn't have enough new diverse text they'd basically mined all the easily available knowledge in mid 2023 they tried another training run codenamed Aricus to test a new architecture for GBT5 but it ran too slowly indicating a fullscale version would take forever and cost a fortune the results were underwhelming confirming that making GBT wouldn't be as smooth as they'd
05:00 - 05:30 hoped open AAI had to regroup engineers tweaked GBT5's design and started hunting for new data sources they even hired experts to create fresh training materials everything from code to math problems to go beyond what the internet had by early 2024 they launched a few smaller training runs to gain confidence then in May 2024 they kicked off another large-scale training effort expected to last until November this time they use more carefully curated data but halfway
05:30 - 06:00 through they realized the data set still wasn't as diverse as needed it's that classic moonshot problem you don't know what's missing until you're way into the mission starting over wasn't an option after all that time and money so the team scrambled to inject extra data mid-training whether that patch truly solved things is unclear but by late 2024 it was obvious GBT5 had run into serious snags while we wait for GBT5 remember there are AI tools for pretty much any task to find the right one open
06:00 - 06:30 Geek Academyy's AI toolfinder and just ask tell it what you need and we'll suggest the best tool can even answer your follow-up questions if you just want to generate images head to the AI Art Studio and make whatever you imagine fast reliable and included for all Geek Academy members and we've just launched our new exclusive course on generative AI with new lessons being added all the time it will take you all the way from absolute zero with AI to an AI master like me we are turning Geek Academy into
06:30 - 07:00 the ultimate platform for AI fans packed with educational content prompting guides curated tool lists exclusive videos you can even chat with a virtual version of me if you want there's so much more to explore so click the link in the description and let's make Geek Academy the best platform ever together on the human side more than two dozen key OpenAI staffers left in 2024 during the GBT5 push big names like chief scientist Ilia Sudskver and CTO Mera Morati by November 2024 outside experts
07:00 - 07:30 were picking up on the struggle famous AI investor Kyu Lee said GBT5 training hasn't gone smoothly and warned that early predictions of AGI within 3 years might be too optimistic gbt5 was supposed to land by late 2024 but Lee said mid 2025 was more realistic sam's recent tweet confirmed we'll have to wait a few more months and it could get pushed back again if Sam's tweet is any clue OpenAI sees
07:30 - 08:00 GPT5 not just as a simple upgrade but as a complete shift that phrase magic unified intelligence suggests one model to do it all instead of the patchwork approach we've had to understand why this is such a leap look at what came right before it gpt4.5 launched in late February 2025 and it's massive openai's biggest model yet soaking up more compute and data than any earlier release it's the pinnacle of the classic GPT scaling strategy more neurons more data more of
08:00 - 08:30 everything and sure enough GPT 4.5's huge size delivers some perks openai says it has deeper world knowledge and a higher emotional IQ than GBT40 but GBT 4.5 also showed the limits of brute force expansion on a bunch of reasoning heavy tests this giant still lost out to smaller AI models built for step-by-step thinking including some from Anthropic and even OpenAI's own Oer in tougher math or logic puzzles just being bigger isn't enough careful reasoning wins
08:30 - 09:00 openai's own tests hint that GPT 4.5's gains from piling on data and compute are starting to level off gbt5 is OpenAI's big solution to these ongoing challenges instead of dumping another half billion dollars into making the model bigger for minimal improvements GPT5 blends the best of both worlds the huge knowledge base from the GPT4 line and the focused step-by-step reasoning of the O series this step-by-step thinking is often
09:00 - 09:30 called chain of thought reasoning it's like the AI scribbles its own notes in the background before handing you the answer openai's smaller O series models like 01 and 03 already use chain of thought to great effect but they didn't have the massive knowledge that GPT4.5 does with GPT5 OpenAI wants to bake that thorough reasoning directly into a model that's just as broad and flexible as GPT 4.5 that's why Sam Alman is confident we won't need a model picker anymore gpt5
09:30 - 10:00 itself will do the picking switching between quick responses and slow detailed thinking automatically under the hood we're likely looking at a major jump in design openai hasn't shared specifics but it's clear GBT won't just be another slight tweak of the classic GPT formula one rumor from 2024 suggested they might try a mixture of experts architecture basically multiple specialized mini models inside one big AI possibly
10:00 - 10:30 pushing the total parameter count into the trillions no one knows for sure if that's the final route but in late 2024 OpenAI's CFO hinted the next model would be an order of magnitude bigger implying GPT5 could be 10 times larger than GBT4 in at least one dimension whether parameters data or computational steps 10 times the size that's absolutely wild we're talking about a serious leap in smartness and if you are an AI fan who wants to 10x your skills join Geek
10:30 - 11:00 Academy we've got a huge library of educational content super useful built-in AI tools special deals and some of the most popular AI platforms and our new course to generative AI that we just started is something that everyone should take a complete 101 you can learn everything in one place think of it as your personal mixture of experts for AI probably the best way to picture GPT5 is as the first real Omni model in OpenAI's lineup Omni because it has near limitless knowledge and can tackle all
11:00 - 11:30 sorts of tasks logic creativity speed tool usage and more for many people in AI this is the holy grail one model that adapts instantly to whatever you throw at it without forcing you to choose the right version in practical terms chatting with GBT5 could feel even more natural you just ask it to do something and GBT5 decides whether it needs a quick answer or a deeper more methodical approach all that heavy lifting happens behind the scenes leaving you with one friendly AI personality that's there to
11:30 - 12:00 help gpt4 introduced multimodal input by allowing us to upload images 4 took it up a notch and GPT5 will push this even further handling text images audio and maybe even video inputs and outputs imagine being able to chat then switch to speak in a question aloud upload a photo for analysis and request a detailed image or diagram all in one ongoing conversation like you're talking
12:00 - 12:30 to a highly skilled assistant who can adapt to any format on the fly we might also see some level of video support gpt5 may not generate Hollywood level movies at launch like some advanced AI such as Sora but it could analyze video clips or create simple animations at the very least fully integrated voice and audio are practically guaranteed chad GPT has had a two-way voice modes since late 2023 letting you talk and hear natural sounding responses gpt5 will definitely build on that turning Chad GBT into a super convenient
12:30 - 13:00 conversational partner right now Chad GPT can browse the web run code and analyze files gpt5 aims to take all of that and supercharge it you'll still have access to the operator mode where GPT can autonomously perform tasks like web navigation or data extraction on your behalf but GPD5 will do it more seamlessly it won't just wait for you to prompt it it could proactively say "Hey I can solve this by checking a database." And do so safely within your set limits we'll likely see
13:00 - 13:30 every separate feature get rolled out into single unified model including schedule tasks maybe that doesn't sound earthshattering right now but imagine GBT 5 integrating with your external calendar or coordinating multiple projects without you constantly supervising it that could really change how we rely on Chad GBT [Music] day gbt is also poised to ramp up the memory game early versions of persistent
13:30 - 14:00 memory can be a bit hit or miss in GPD5 expect that memory to become more reliable and more personal if you mention your dog's name is Buddy your favorite color is green or you're working on a novel GPT5 might hold on to these details for future sessions tailoring its responses to you and with things like custom GBTs and the GBT store you'll probably be able to set up specialized AI helpers for different needs maybe one for your job another for creative writing another for personal fitness goals essentially GBT5 will help
14:00 - 14:30 you create multiple AI personalities that all share one strong foundation but are finely tuned for whatever you do most gbt 4.5 can already handle up to 128,000 tokens in one go which is huge can read and process entire documents or super long chat logs gbt5 is likely to expand that even further so you could drop entire books research papers or
14:30 - 15:00 multi-session transcripts in without losing track think of it as GBT 5 have a near endless working memory able to pull together info from anywhere in your archives for context Gemini 2.5 just came out with a context window of a million tokens and they're targeting 2 million soon gbt5 might match or beat that meaning it can chew through massive amounts of data without breaking a [Music] sweat open AAI also released a
15:00 - 15:30 collaborative tool called Canvas which is basically a digital whiteboard where you and Chad GBT can organize and plan ideas together the current version is pretty basic and a bit rough around the edges but GPT5 will likely supercharge this maybe adding structured content editing interactive project management or more polished design help it could let multiple people collaborate in real time with an AI that can keep everything organized if they nail these collaboration features you'll be able to brainstorm visually rearrange content
15:30 - 16:00 and solve complicated tasks alongside GPT5 all in one shared workspace that's a big step toward making AI a true team player rather than just a lone chatbot overall GBT5 is meant to tie all of these improvements together chain of thought reasoning multimodal capability toll integration deep personalization autonomous tasks into one smart assistant no more choosing among different models or flipping modes gbt will sense when a quick answer is enough and when deeper reasoning is needed
16:00 - 16:30 seamlessly switching gears in the background for users that means a single AI that feels more flexible and natural than [Music] ever everybody's asking this question and nobody can say for sure agi or artificial general intelligence is usually defined as an AI that can learn and do any intellectual task a human can by that strict definition GPT5 probably isn't AGI it will still make mistakes
16:30 - 17:00 miss certain details and it won't have its own goals or self-awareness even OpenAI says so but for everyday users GBT might feel like AGI will likely blow GBT40 out of the water in terms of reasoning flexibility and handling a crazy variety of tasks all without special versions or extra settings if you're not an AI nerd it's going to look like a super smart system that can write plan analyze visualize talk and reason even better than many humans in certain
17:00 - 17:30 areas and this might be enough for most people to think "Wo this is basically AGI." We're not saying it's a self-aware robot just a really advanced assistant tutor analyst researcher or creative sidekick that goes deeper than anything we've seen before that alone is a giant leap for how most folks see AI on paper GBT5 won't be true AGI but for plenty of users it might as well be sure it's technically not AGI but it's the next best
17:30 - 18:00 thing open AAI isn't the only one racing toward the future google is working on Gemini enthropic is scaling up Claude elon Musk has XAI with Grock and countless startups plus open-source communities are making strides faster than anyone expected we also can't ignore DeepSk's massive impact in this high stakes race gbt5 isn't just another model it's OpenAI's answer to all this competition think of it as their flagship intelligence an integration
18:00 - 18:30 machine one system that hooks into tools apps daily workflows and meets both casual and power users right where they are no more which model is right for you gbt5 will adapt to whatever you need and the world's already primed for it there are over 12 million Cad GBT plus users and 92% of Fortune 500 companies use OpenAI in some way entire industries education coding entertainment are leaning heavily on GPT technology so when GBT5 hits it's going to kick the
18:30 - 19:00 entire ecosystem up a notch so when can we realistically expect GBT tweets are fun but if we've learned anything from past launches it's to be practical from Sam Alton's comments in February 2025 we know GBT5 is months away not years gbt4.5 just came out and GBT5 might arrive this spring or summer maybe May or June personally I'm bracing for at least one more delay even when it does launch it might take a few weeks for the
19:00 - 19:30 infrastructure to catch up i'm guessing it will roll out in stages maybe a small launch first with features and tools coming over time openai is notoriously secretive but the bellin blocks are there the tolls are prepped we have a public road map and the stakes couldn't be higher gpt5 might be more than just another chapter could be a whole new volume in the AI story the moment when AI goes from helpful chatbot to something far more capable and deeply woven into daily life we are not quite
19:30 - 20:00 at that point yet but the countdown is on thanks for tuning in and I will catch you in the next one [Music]