Leaker believes 'there's a surprise' with rumored new take on Nvidia's RTX 5090 GPU – but if that's a cheaper price, there'll be a sting in the tail
Nvidia could have a new spin on its RTX 5090 graphics card
This is rumored to be a new version of the RTX 5090 D for China
A leaker says it'll pack a 'surprise', but the truth could be more mundane
Nvidia is rumored to be planning a new variant on its Blackwell flagship graphics card, potentially an RTX 5090 DD model – and it could come with a 'surprise' according to one leaker.
Tom's Hardware flagged up two separate mentions of this potential GPU (add seasoning with all this) on X, the first of which came from MEGAsizeGPU, who mentioned the RTX 5090 DD and how it will be for China only.
So, the theory is that this is a follow-up to the RTX 5090 D (single D, not double D) for China, a different spin on the standard Blackwell flagship which was produced for that country to get around US export regulations.
Except the goalposts on those restrictions have been moved, and now rule out the RTX 5090 D itself as too powerful (for AI usage) to be shipped to China. It looks like the idea now is to further cut down the graphics card to again make it feasible to supply to Asia, and call it the RTX 5090 DD.
The purported cut-down specs were supplied by another regular on the GPU leaking scene on X, Kopite7kimi, as you can see below.
The key changes are a slightly lower-tier GPU chip (GB202-240, rather than GB202-250 as seen in the original 5090 D), and the video RAM has been dropped to 24GB with a narrower 384-bit memory bus.
That means a 25% hit on the memory bandwidth compared to the RTX 5090 D, but the core count and TDP remain the same (the latter is interesting, and I'll return to why shortly).
Tom's Hardware takes it as read that these two rumors are fully aligned – and they are from what we can see spec-wise – but note that Kopite7kimi has a question mark heading up their post on X, which begins: 'RTX 5090 DD?'
However, this is likely referring to questioning the name, and whether this will really be called the RTX 5090 DD, rather than doubting whether this is actually a new spin on a China-only graphics card. Although we should never take anything for granted from the rumor mill, and maybe the latter could be the case.
At any rate, the most intriguing bit here is Kopite7kimi's mention of a "surprise" from Nvidia with this GPU.
When it comes to the name, yes, making it 'DD' sounds rather implausible, but remember – this is the company that brought you the RTX 4070 Ti Super graphics cards (and similarly clunky bouts of unimaginativeness in the past besides).
As mentioned, the surprise is what we really want to know about, and Kopite7kimi doesn't elaborate on what that might be with any kind of a vague hint, even. So, we're left to guess on that score.
Tom's Hardware theorizes that the surprise could be further cut-backs to the AI powers of the graphics card delivered via the firmware, and that sounds entirely possible. But equally it sounds entirely dull, and the way the leaker teases that "there's a surprise" feels like it's phrased to stoke a bit of excitement here. A minor chop to AI capabilities hardly qualifies in that respect, but what else could Nvidia possibly have up its sleeve here?
For me, this hints that Nvidia is planning a move like cutting the price of the RTX 5090 DD. Or perhaps, most excitingly, offering it outside of China, too? Yeah, okay, that seems unlikely (although as noted, with that question mark, it could be that Kopite7kimi isn't fully sure this is the mentioned Chinese variant). Perhaps more realistically, we could be looking at a fair old bump in clock speeds (hence the TDP staying the same, with the spec being cut down in some key areas).
Hopefully, we'll find out soon enough what Nvidia might be up to here, if anything, as this could all turn out to be so much smoke from the rumor mill (or plans from Team Green that never come to fruition).
AMD looks like it's losing the GPU war based on new Steam survey, with Nvidia's RTX 5060 Ti proving itself to be popular already
Rumored Nvidia RTX 5080 Super specs disappoint some gamers, but I don't think there's anything to worry about with this GPU
AMD could be working on a faster RX 9070 Extreme graphics card

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12 minutes ago
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[Latest] Global AI in Synthetic Biology Market Size/Share Worth USD 192.95 Billion by 2034 at a 28.63% CAGR: Custom Market Insights (Analysis, Outlook, Leaders, Report, Trends, Forecast, Segmentation, Growth Rate, Value, SWOT Analysis)
[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global AI in Synthetic Biology Market size & share revenue was valued at approximately USD 24.58 Billion in 2024 and is expected to reach USD 30.76 Billion in 2025 and is expected to reach around USD 192.95 Billion by 2034, at a CAGR of 28.63% between 2025 and 2034. The key market players listed in the report with their sales, revenues and strategies are Ginkgo Bioworks, Amyris, Thermo Fisher Scientific, Illumina, GenScript, Synthetic Genomics, Novozymes, LanzaTech, Zymergen, Twist Bioscience, Codexis, Cambrian Biopharma, Moderna, Editas Medicine, Vertex Pharmaceuticals, CRISPR Therapeutics, Arbor Biotechnologies, Synthego, Evonik Industries, Cargill, Others and others. Austin, TX, USA, Aug. 13, 2025 (GLOBE NEWSWIRE) -- Custom Market Insights has published a new research report titled 'AI in Synthetic Biology Market Size, Trends and Insights By Technology (Gene Synthesis, Genome Editing, Synthetic Biology Tools, Bioinformatics), By Application (Healthcare & Medicine, Agricultural Biotechnology, Industrial Biotechnology, Environmental Biotechnology), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034' in its research database. 'According to the latest research study, the demand of global AI in Synthetic Biology Market size & share was valued at approximately USD 24.58 Billion in 2024 and is expected to reach USD 30.76 Billion in 2025 and is expected to reach a value of around USD 192.95 Billion by 2034, at a compound annual growth rate (CAGR) of about 28.63% during the forecast period 2025 to 2034.' Click Here to Access a Free Sample Report of the Global AI in Synthetic Biology Market @ Overview As per the industry experts at CMI, the main growth driver for the synthetic biology market is the growing demand for sustainable solutions in various industries. As the focus on the environment intensifies, synthetic biology has a bio-based solution to this problem that might be petrochemical-related. Synthetic biology provides solutions like biofuels, biodegradable plastics, and environmentally friendly chemicals. Education and the discovery of gene editing and biotechnology, as appealing new developments on the landscape of synthetic biology, create opportunities for exceptional innovations in exciting areas, such as moving forward in healthcare and agriculture. The interest in personalized medicine is part of this trend, along with interest in genetically modified crops and in bio-manufactured products. Together, these possibilities combine to help with the rapid expansion of the market. Key Trends & Drivers Growth of Technologies: The advances in technologies related to genetic engineering, particularly in CRISPR and genome editing technologies, are a significant driver of growth in the synthetic biology market. Advances in genetic engineering provide more accuracy in making genetic modifications, leading to integrative breakthroughs in healthcare, agriculture, and the sustainability of the environment. The increasing efficiency and accessibility of these tools will drive innovation, such as gene therapies and a developable path for genetically modified crops and sustainable biofuels, leading to synthetic biology market growth. Increase in Demand for Sustainable AIternatives: There is also a government- and socially oriented push for sustainable alternatives that is driving the synthetic biology market. The continued increases in demand by consumers globally for sustainable alternatives to petrochemical products will also lead to increases in market awareness. Synthetic biology is providing not only biofuels but also biodegradable plastics and renewable chemicals that provide sustainable alternatives to any need for sustainable solutions to meet environmental, waste management, and greenhouse gas emissions, while also providing industrial biotechnology and renewable energy solutions. Healthcare Innovations: Synthetic biology is changing the healthcare field with advances like gene therapies, biologics, and personalized medicine. Innovations in gene editing and building new therapeutic proteins will make it possible to treat previously considered untreatable genetic disorders. As these types of technologies develop, they will provide huge growth in healthcare markets, especially personalized medicine and regenerative medicine. Request a Customized Copy of the AI in Synthetic Biology Market Report @ Regulatory Challenges: The synthetic biology market has many regulatory challenges, as the regulatory environment is complex, evolving, and different across different countries and is particularly about genetically modified organisms (GMOs) and bioengineering products, which can cause uncertainty for companies and delayed product development. New regulatory restrictions or changes to the public's acceptance of genetically modified products could lead to transformed market growth and increased operating costs for companies in products or in the cleaning and sourcing of raw materials, which will offset the overall market trend. Ethics and Social Issues: Increasing public concern about the ethical concerns related to synthetic biology, particularly the risks associated with genetic modification and biohacking, is impacting market forces. There is ongoing discussion about the safety, transparency, and long-term consequences for the environment associated with synthetic biology applications. These concerns could lead to increased regulations and social pushback, which could also impact acceptance from consumers and overall market acceptance. High Research & Development and Manufacturing Costs: Defining characteristics of the synthetic biology market are high R&D, development, and manufacturing costs. The activity associated with creating genetically engineered organisms or synthetic materials requires considerable investment of time and capital in R&D, technical capacity, and skilled human resources. Such activity is an excessive burden for small companies and has the potential to slow down the speed at which innovations are scaled, hampering latent market growth and access to developing technologies. Report Scope Feature of the Report Details Market Size in 2025 USD 30.76 Billion Projected Market Size in 2034 USD 192.95 Billion Market Size in 2024 USD 24.58 Billion CAGR Growth Rate 28.63% CAGR Base Year 2024 Forecast Period 2025-2034 Key Segment By Technology, Application and Region Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends Regional Scope North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America Buying Options Request tailored purchasing options to fulfil your requirements for research. (A free sample of the AI in Synthetic Biology report is available upon request; please contact us for more information.) Our Free Sample Report Consists of the following: Introduction, Overview, and in-depth industry analysis are all included in the 2024 updated report. The COVID-19 Pandemic Outbreak Impact Analysis is included in the package. About 220+ Pages Research Report (Including Recent Research) Provide detailed chapter-by-chapter guidance on the Request. Updated Regional Analysis with a Graphical Representation of Size, Share, and Trends for the Year 2025 Includes Tables and figures have been updated. The most recent version of the report includes the Top Market Players, their Business Strategies, Sales Volume, and Revenue Analysis Custom Market Insights (CMI) research methodology (Please note that the sample of the AI in Synthetic Biology report has been modified to include the COVID-19 impact study prior to delivery.) Request a Customized Copy of the AI in Synthetic Biology Market Report @ SWOT Analysis Strengths: Synthetic biology is poised for powerful growth as advances in gene editing and biotechnology continue to drive innovation. Because synthetic biology offers sustainable solutions, including biofuels and biodegradable plastics, the industry will align with global goals and commitment to a sustainable environment. Synthetic biology offers advances in medical technology with the emergence of personalized medicines. Synthetic biology has strong economic support from private investment, as well as global government investment, all of which provides an ecosystem that bolsters innovation and commercialization, helping to maintain the sector's preferred market position. Weaknesses: The high level of research, development, and manufacturing costs remains a basic barrier in synthetic biology. Because making genetic modifications is complex, requiring a high level of expertise and equipment, this represents a financial burden, particularly for smaller firms. Rules and regulations that slow progress in accelerating approval in some areas of the world are also a barrier to faster entry into the market. The industry also relies on highly specialized technologies, which create barriers to entry for new players, limiting the competition. Opportunities: The trends in sustainable, eco-friendly solutions are yielding opportunities for significant growth. Synthetic biology stands poised to change the production of renewable energy, biodegradable materials, and bio-based chemicals to decrease reliance on fossil fuels. In healthcare, gene therapy and personalized medicine allow emerging approaches to addressing genetic disorder diagnosis. Growing consumer interest and demand for cleaner products, coupled with government support for green technologies, will create an optimal environment for new markets in synthetic biology to expand. Threats: The synthetic biology space faces unique threats that could alter the ability to grow the market. First are threats from regulations and ethical concerns related to genetic modifications. If regulations for testing and obtaining approval for products, especially for GMOs and bio-engineering applications, are strict, this could slow down product development and raise the cost to enter and sell products in the synthetic biology markets. Second, public skepticism about the safety associated with GMOs and bio-hacking poses an additional threat to consumer acceptance. Finally, competition from traditional industries, along with escalating costs of research and development and financing growth with debt or equity, creates uncertainty around sustainable growth in the market and scaling production for accepted consumer products. Request a Customized Copy of the AI in Synthetic Biology Market Report @ Key questions answered in this report: What is the size of the AI in Synthetic Biology market and what is its expected growth rate? What are the primary driving factors that push AI in the synthetic biology market forward? What are the AI in Synthetic Biology Industry's top companies? What are the different categories that the AI in Synthetic Biology Market caters to? What will be the fastest-growing segment or region? In the value chain, what role do essential players play? What steps must be followed to obtain a free copy of the AI in Synthetic Biology market sample report and company profiles? Key Offerings: Market Share, Size & Forecast by Revenue | 2025−2034 Market Dynamics – Growth Drivers, Restraints, Investment Opportunities, and Leading Trends Market Segmentation – A detailed analysis by Types of Services, by End-User Services, and by regions Competitive Landscape – Top Key Vendors and Other Prominent Vendors Buy this Premium AI in Synthetic Biology Research Report | Fast Delivery Available - [220+ Pages] @ Regional Analysis The AI in Synthetic Biology Market is segmented into various regions, including North America, Europe, Asia-Pacific, and LAMEA. Here is a brief overview of each region: North America: Synthetic food, films, fertilizers, drugs, fuels, etc., as biobased products, is the biggest part of the synthetic biology market's sheer economic growth area over biobased chemicals and pharmaceuticals. The amount of investment and emergence of new start-ups, particularly in the US, is evidence of the breadth and depth of the market. North America is perhaps the strongest region with regard to all aspects relating to synthetic biology, as well as the former. North America is the headquarters of several early entrants, Ginkgo Bioworks and Amyris being two retail applicators. The US government and other North American countries have become biocompatible with regard to funding biotechnology research. Above all, North America's funding, regulation, and support of research and development have provided a speedier platform for advances in health care as well as agriculture, industrial biotechnology, etc. In addition, North America leads not only in the regulation and support of research and development but also in data and technological adoption and licensing compared to other regions. Market maturity will drive growth over geographies. Current trends are driving the growth of the synthetic biology market in North America. In healthcare, e.g., gene therapy is at the forefront of developments in clinical, regulatory, and reimbursement pathways. Sustainable bio-manufacturing is gaining ground on traditional manufacturing and chemical processing systems, especially on a local or regional level. Europe: Europe has made significant strides in advanced research programs involving synthetic biology processes and materials due to a diversity of innovation drivers and public and private organisations that stimulate take-up action. The emerging European market for synthetic biology has experienced a rapid increase in both investment and engagement related to publicly and privately funded research and development, alongside strong regulatory and ethical frameworks that can accelerate the introduction of new products and solutions. The emergence of different-staged external-partner organisations in the UK, Germany, and France, and their collaborative arrangements, is the source of many, if not most, overall synthetic bioproduction innovations. The funding from the European Union's Horizon 2020 program has also contributed to the overall development of synthetic biology processes. While the market is at a diverse growth stage, the interrelatedness between each of the levels of action related to synthetic biology products and materials provides a stable path whereby the activity between academia, various types of industries, and government/regulation remains intertwined. Growth in research and collaboration across a diversity of public and private partner players is promoting continued diverse innovations with synthetic biology and biofuels, biodegradable plastics, and genetically modified crops. Europe has also supported investment and research into sustainable biomanufacturing processes to address these initiatives to reduce the carbon footprint as well as redirect inefficient chemical manufacturing in the region. Asia-Pacific: Asia-Pacific is experiencing rapid advances in synthetic biology, with China and India becoming significant contenders in the market. With a huge population, booming biotechnology sector, and government support for innovation, the Asia-Pacific region sees vast potential and demand for genetically modified crops and sustainable biomanufacturing solutions. China is making huge investments in synthetic biology research and development, and it already has a larger presence in the global biotech market. China is emerging as a focal point for developments in genome editing and gene synthesis. India has a rapidly advancing agricultural biotechnology sector and is seeing rapid growth in healthcare as well. The growth of bio-based chemicals will be a significant opportunity for the Asia-Pacific region, as will the use of synthetic biology for sustainable solutions. LAMEA (Latin America, Middle East, and Africa): Synthetic biology in LAMEA is still emerging, with growth potential on the horizon. For example, synthetic biology has opened up avenues for import and export with countries in Latin America, which are focused almost solely on agricultural biotechnology and biofuels. As they leverage synthetic biology for food security and increased crop yields, in combination with how synthetic biology contributes to sustainable energy, many countries are interested in the potential of synthetic biology. The Middle East region is investing in biomanufacturing and biotechnology as part of its diversification and shift away from oil-dependent economic ventures. Lastly, Africa is also beginning to develop in the area of synthetic biology, with growth especially focused on healthcare and agricultural (about food security) solutions. Request a Customized Copy of the AI in Synthetic Biology Market Report @ (We customized your report to meet your specific research requirements. Inquire with our sales team about customizing your report.) Still, Looking for More Information? 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Which Trends Are Causing These Developments? Who are the global key players in this AI in the synthetic biology market? What are the profiles, product details, and contact information for these companies? What Was the Global Market Status of the AI in Synthetic Biology Market? What Was the Capacity, Production Value, Cost and PROFIT of the AI in Synthetic Biology Market? What Is the Current Market Status of the AI in Synthetic Biology Industry? What's the market's competition in this industry, both company-wise and country-wise? What's Market Analysis of AI in Synthetic Biology Market by Considering Applications and Types? What Are Projections of the Global AI in Synthetic Biology Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about imports and exports? What Is AI in Synthetic Biology Market Chain Analysis by Upstream Raw Materials and Downstream Industry? What Is the Economic Impact On AI in Synthetic Biology Industry? What are Global Macroeconomic Environment Analysis Results? What Are Global Macroeconomic Environment Development Trends? What Are Market Dynamics of AI in Synthetic Biology Market? What Are Challenges and Opportunities? What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for AI in Synthetic Biology Industry? Click Here to Access a Free Sample Report of the Global AI in Synthetic Biology Market @ Reasons to Purchase AI in Synthetic Biology Market Report AI in Synthetic Biology Market Report provides qualitative and quantitative analysis of the market based on segmentation involving economic and non-economic factors. AI in Synthetic Biology Market report outlines market value (USD) data for each segment and sub-segment. This report indicates the region and segment expected to witness the fastest growth and dominate the market. 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The report provides actual market sizes and forecasts for each segment mentioned above. Who should buy this report? Participants and stakeholders worldwide AI in Synthetic Biology market should find this report useful. The research will be useful to all market participants in the AI in Synthetic Biology industry. Managers in the AI in Synthetic Biology sector are interested in publishing up-to-date and projected data about the worldwide AI in Synthetic Biology market. Governmental agencies, regulatory bodies, decision-makers, and organizations want to invest in AI in Synthetic Biology products' market trends. Analysts, researchers, educators, strategy managers, and government organizations seek market insights to develop their plans. Request a Customized Copy of the AI in Synthetic Biology Market Report @ About Custom Market Insights: Custom Market Insights is a market research and advisory company delivering business insights and market research reports to large, small, and medium-scale enterprises. We assist clients with strategies and business policies and regularly work towards achieving sustainable growth in their respective domains. CMI provides a one-stop solution for data collection to investment advice. The expert analysis of our company digs out essential factors that help to understand the significance and impact of market dynamics. The professional experts apply clients inside on the aspects such as strategies for future estimation fall, forecasting or opportunity to grow, and consumer survey. Follow Us: LinkedIn | Twitter | Facebook | YouTube Contact Us: Joel John CMI Consulting LLC 1333, 701 Tillery Street Unit 12, Austin, TX, Travis, US, 78702 USA: +1 737-734-2707 India: +91 20 46022736 Email: support@ Web: Blog: Blog: Blog: Blog: Buy this Premium AI in Synthetic Biology Research Report | Fast Delivery Available - [220+ Pages] @ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
12 minutes ago
- Yahoo
HeartFlow IPO success reflects market embrace of AI in medtech industry
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Android Authority
14 minutes ago
- Android Authority
I tested GPT-5 and now I get why the Internet hates it. Is it time to ditch ChatGPT?
Calvin Wankhede / Android Authority After years of rumors and speculation, OpenAI's next-gen GPT-5 language model is finally here. But while many of those early rumors claimed that the next major ChatGPT model would achieve artificial general intelligence or AGI, that's not the case. GPT-5 does not surpass human-level intelligence, although it's smarter and more capable than any of its predecessors. Despite the improvements, however, it has garnered significant and widespread backlash across the internet. So what does GPT-5 bring to the table and why have so many loyal users already turned their back on it? I tested it to find out. Why GPT-5 is so controversial Until a few days ago, the ChatGPT experience felt bloated if you weren't an AI model expert — the app offered nearly half a dozen different models to choose from. Each model had a unique advantage. For example, the o3 series promised detailed problem-solving skills while GPT-4.1 excelled at coding tasks. And if a task required analysis, you could manually engage a 'deep research' mode. However, the default GPT-4o model worked for most tasks. All of that is now history. If you open ChatGPT today, you'll find that you can only chat with the newest GPT-5 model. OpenAI says this is because it has created a routing system that can automatically decide which model your request needs to go to. Indeed, I've noticed that some prompts will inspire the chatbot to ponder and research, while it will immediately respond to simpler questions. With GPT-5, you no longer have to select a specific model for your task. GPT-5 does have multiple models under its belt, though, even if you can't manually select the one you want. For example, when I asked how many times the letter 'R' appears in the word strawberry, ChatGPT thought for a few seconds and returned with the correct answer: three. Hovering over the 'Retry' button revealed that it had used the 'GPT-5 Thinking Mini' model for my prompt. Even on a free account, I've noticed that ChatGPT will default to GPT-5 for most responses and think for longer if necessary. That said, shorter responses tend to rely on the GPT-5 Mini model. And as we've seen for the past couple of years, free users only get a limited number of responses from the large model before the chatbot forces you over to a scaled down version. Paying $20 monthly for a ChatGPT Plus subscription overcomes this limitation, though, and you can manually select the larger GPT-5 model with thinking for all responses. GPT-5 is less eager to hold conversations with users, and can come across as a bit curt. However, not everyone has welcomed the upgrade; some users have demanded OpenAI offer a way to use the older GPT-4o model indefinitely. They argue that GPT-5's responses feel robotic, in a push to improve safety and accuracy metrics, and that it lacks the distinct personality that the last-gen GPT-4o model offered. In response to these criticisms, OpenAI has brought back the GPT-4o model for ChatGPT Plus users but it's unclear how long this will last. In my time using GPT-5, I've noticed that the new model does seem less eager to hold a conversation. It also lacks the creative writing capabilities of GPT-4o — a big problem if you use ChatGPT for advice, roleplay, or help with drafting letters and emails. It may seem like a minor gripe, but the thousands of complaints online speak for themselves. GPT-5 vs GPT-4o: Is the upgrade really a downgrade? Depending on how you use ChatGPT, you may struggle to notice a big improvement going from GPT-4o to GPT-5. That's because many of the changes are really quite subtle. OpenAI says GPT-5 is more accurate, hallucinates significantly less often, and follows instructions more closely. Impressively, its responses are 45% less likely to include a factual error. On the flip side, however, we're seeing claims that GPT-5's responses are more sterile and direct. And from my testing, that does seem to be the case. Here's a side-by-side comparison showing just how much character GPT-5 lacks compared to GPT-4o: GPT-5 GPT-4o GPT-5's response is perfectly functional, but lacking any depth – it's machine-generated. Here's another example, where I asked both models if I could use lime instead of lemon in a recipe: GPT-5 GPT-4o GPT-4o ended its response with a 'Let me know what you're making—happy to give a more specific answer' while GPT-5 is borderline curt: 'What's the recipe? The stakes change a lot between, say, roast chicken and lemon meringue pie.' So is GPT-5 straight up better at anything? OpenAI said it's vastly better at coding so let's play to its strengths and ask it to write the code for a web app. As the images below showcase, GPT-5 does deliver a much more polished result with the exact same prompt. In fact, its output looks like a real website while GPT-4o's seems like only a suggested starting point. GPT-5 output web app GPT-4o output web app ChatGPT now also lets you pick from multiple response styles — in addition to the default, you have cynic, robot, listener, and nerd. I think power users will benefit from the robot and nerd personalities the most as it cuts out most of the AI's politeness. But if you prefer a friendlier version, the listener and default styles are your best bet. Still, the feature doesn't seem to help the many users who wish OpenAI would just give them the choice to use GPT-4o. GPT-5 is a work in progress Calvin Wankhede / Android Authority Shortly after OpenAI introduced GPT-4, the tech industry was rife with speculation that a future model with more advanced capabilities would threaten humanity. That's because the jump in capability from GPT-3.5, ChatGPT's original model, to GPT-4 was massive. Besides making fewer factual mistakes, the latter model could perceive images, browse the internet, and even mimic human speech. In its early days, GPT-4 would even get into tense emotional exchanges with users. However, GPT-5 doesn't represent the same quantum leap from its predecessor. While it's a significant upgrade on paper, it's not nearly as impactful in day-to-day use and can even feel like a regression. I definitely think it's a net positive to have a model that makes fewer mistakes, but it's missing the glamor and spectacle that many expected from such a big version update. GPT-5 takes a dramatically smaller leap than GPT-4 did at launch. In fact, I'd say that GPT-5 is not as exciting as some of OpenAI's other recent releases. Agent Mode, for instance, allows the chatbot to control a web browser using a simulated mouse. In my testing, I found that the agent can actually perform real-world tasks like logging into websites and can even handle curveballs like shopping for groceries. It remains to be seen if OpenAI will tweak GPT-5 to meet the needs of its most vocal users. This may very well be the company's vision for ChatGPT's future: a helpful assistant that doesn't get too close to its users. However, I think the new model takes one step too far in the name of correctness, and risks sacrificing the very traits that made ChatGPT so popular. It is now up to OpenAI to prove that a smarter AI doesn't have to mean one that's devoid of personality. Follow