OpenAI's Sam Altman brings back GPT-4o and boosts GPT-5 limits — but there's a catch
While GPT-5 promised better reasoning, faster performance and advanced multimodal capabilities, many ChatGPT subscribers weren't impressed. Nearly 5,000 Reddit users weighed in on a fast-growing thread, with some calling GPT-5 a 'downgrade' compared to earlier models.
Common complaints centered on shorter responses, a more formal tone and stricter message caps. For a segment of users, GPT-4o's conversational style and warmth felt more engaging; and they wanted it back. However, note that free-tier users remain limited to GPT-5 (and its smaller variant once they hit the cap), meaning the only way to access GPT-4o in ChatGPT is by paying for Plus.
In a post on X, OpenAI CEO Sam Altman acknowledged the criticism and announced two major changes for Plus subscribers:
In another post on X, Altman personally dives into the attachment users feel to GPT-4 and even mentioned that it "makes him feel uneasy."
If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly…August 11, 2025
OpenAI's rapid pivot shows that regardless of an AI model's hyped performance, rolling out too fast can fall flat, especially if it changes the user experience too much.
Many subscribers clearly value familiarity, tone and flexibility as much as they value speed or reasoning power. By restoring GPT-4o and loosening GPT-5's restrictions, OpenAI is acknowledging that personalization is as important as raw capability.Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.
Get instant access to breaking news, the hottest reviews, great deals and helpful tips.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
7 minutes ago
- Yahoo
J.P. Morgan Lifts PT on CoreWeave Ahead of Q2 Report
CoreWeave, Inc. (NASDAQ:CRWV) is one of the 10 AI Stocks Making Waves on Wall Street. On August 11, JPMorgan analyst Mark Murphy raised the price target on the stock to $135.00 (from $66.00) while maintaining an Overweight rating. The analyst is optimistic on the cloud computing stock ahead of its quarterly results Tuesday after the bell. Murphy is "cautiously optimistic" on the long-term prospects of the company, particularly after it secured a five-year deal with OpenAI for artificial intelligence data centers at $11.9 billion. "Our sense is that CoreWeave's opportunities are going to get bigger and lumpier, likely to the surprise of investors, though we are not making a specific call on the upcoming Q2 results as it is likely a futile exercise to speculate on the closing of specific deals and investors should in fact expect extreme lumpiness in CoreWeave's pattern of large bookings.' Stocks chart Even though the company's long-term AI ramp is "clear" and "intact," the timing between large bookings and buildouts remain an overhang on a quarterly basis which have the potential to create "ongoing extreme volatility in CRWV shares.' Nevertheless, the firm is optimistic that CoreWeave will yield growth in the long run. "Although timing and lumpiness still give us pause and create extreme volatility, we are positive on the potential for continued momentum in CoreWeave's business pipeline, and our field work suggests long-range potential for binary-outcome transactions which are very difficult to handicap and, if successful, can drive a very surprising magnitude of outsized growth and outsized debt financing with short-term cash burn.' CoreWeave, Inc. (NASDAQ:CRWV) is a cloud platform provider that provides equipment for AI and other computing purposes. While we acknowledge the potential of SOUN as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None. Error 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
Forbes
10 minutes ago
- Forbes
How Will You Be Found When AI Replaces Google Search?
Zac Brandenberg is Co-Founder and CEO of DRINKS, a leading AI-powered SaaS platform transforming the U.S. alcohol market. AI platforms are reshaping how consumers discover content, products and brands—and in the process, reshaping how that content is surfaced. The brands that understand this shift now will be positioned to dominate tomorrow's discovery landscape. An analysis of millions of AI citations reveals that each platform—ChatGPT, Perplexity and Google AI Overviews—operates with fundamentally different algorithms than traditional search engines. For example, Reddit drives 47% of Perplexity citations, whereas Wikipedia commands 48% of ChatGPT references. The Authority Game Has Changed Traditional search prioritized backlinks and domain authority. AI search prioritizes clarity, context and community validation. So, a single mention on Reddit would carry more weight in Perplexity than months of link-building campaigns. ChatGPT is often influenced by first-page results (regardless of engine) because that's what's most available. Perplexity loves community content (like the aforementioned Reddit). Google AI Overviews balances traditional authority with user-generated content from platforms like Quora and LinkedIn. So, where do brand leaders start? Most e-commerce leaders don't know where their brands appear in AI search results. Start with a simple audit across all major platforms, like ChatGPT, Perplexity and Google's AI Overviews. Document which sources get cited and how your brand is positioned. Pay attention to citation patterns. If competitors dominate Wikipedia mentions, you need a presence there. If Reddit discussions drive industry conversations, deploy community managers authentically. Each AI platform rewards different content strategies. Generic optimization won't work. • For ChatGPT Success: Focus on neutral, reference-style content. Build a comprehensive Wikipedia presence. Get featured in established business publications like Forbes and TechCrunch. When ChatGPT searches the web, it favors Bing results, so optimize there too. It's important to note that when ChatGPT does this, it uses Bing as a gateway, but its output is more curated than a basic list of search results. • For Perplexity Visibility: Create short-form video content and engage authentically in relevant Reddit communities. Perplexity values Yahoo and MarketWatch, making expert commentary on these platforms valuable. • For Google AI Overviews: Develop thought leadership on LinkedIn and engage strategically with Quora discussions. Balance authoritative content with community insights. Wineries and alcoholic beverage producers face the challenges of most industries, often with increased intensity due to a hyper-competitive traditional search environment. Low discoverability, hyper-competition with distribution channels and massive competitive saturation in their categories make winning the search war challenging. As a result, moving now to address the AI-search opportunity is even more important. Successful wineries now post harvest updates on r/wine and create YouTube Shorts showing vineyard operations. These authentic community contributions get cited when users search "sustainable winemaking 2025." Lifestyle brands selling wine can engage in broader communities like r/fashion or r/gifting, reaching audiences that traditional wineries never access. A clothing brand discussing "wine and style pairings" captures citations in lifestyle search queries. AI systems extract information differently than human readers do. Complex, creative language that performs well in traditional content marketing can hurt AI visibility. Structure content for immediate comprehension. Use clear statements, numbered lists and quotable information. AI platforms need content they can easily parse and excerpt. We restructured our product descriptions and case studies using this approach. Instead of creative wine metaphors, we use clear, factual statements about our technology capabilities. This improved both AI citations and customer understanding. For a winery, this might mean instead of poetic descriptions like "sun-kissed grapes dancing in morning dew," writing "estate-grown Pinot Noir, 14.2% alcohol, aged 18 months in French oak barrels." AI platforms can extract and cite specific details. The Zero-Click Future AI-generated summaries are creating more zero-click searches, where users get answers without visiting websites. This doesn't eliminate the need for visibility—it makes citation more valuable than clicks. Being cited establishes authority even when users don't visit your site. So, marketing budgets should shift from link-building to community engagement and structured content creation. Invest in Reddit community management, Wikipedia presence and platform-specific content optimization. Double down on short-form video. The convergence is happening fast. Traditional search engines are integrating AI features while pure AI platforms gain market share. By 2028, a study by Semrush indicates that AI search traffic is projected to exceed traditional search engine usage—a significant shift for industries like technology, where discovery drives business development. The brands that adapt quickly to these new discovery rules will be the winners in an AI-first search world. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
28 minutes ago
- Yahoo
OpenAI CEO Sam Altman Just Delivered Incredible News For Nvidia Stock Investors
Key Points OpenAI CEO Sam Altman suggested that GPT-5 has made significant strides compared to prior models, especially in areas such as coding and healthcare. The release of GPT-5 and competing large language models bodes well for continued demand for Nvidia's GPU architectures and CUDA software platform. While Nvidia stock trades at a healthy premium, there is a case to be made that much of the upside from rising AI infrastructure spend is not yet baked into the stock. 10 stocks we like better than Nvidia › About three years ago, a little-known start-up called OpenAI sparked a generational shift across the technology ecosystem after it released ChatGPT. At its core, ChatGPT is a large language model (LLM) that allows users to input queries and test features including image generation, writing software code from scratch, or scraping the internet to answer basic questions on just about any topic. In early August, OpenAI CEO Sam Altman took center stage to showcase the latest version of ChatGPT called GPT-5. While GPT-5 is great for OpenAI's early backers, I see its creation as a massive -- albeit overlooked -- win for Nvidia (NASDAQ: NVDA) investors. Let's explore why GPT-5 is a big deal as the artificial intelligence (AI) narrative continues to unfold, and assess why Nvidia stock is positioned to benefit from the rise of more sophisticated LLMs. GPT-5 is more than just a new chatbot; it's rewriting the playbook for enterprise AI GPT-5 does not represent a routine upgrade compared to prior models released by OpenAI. Rather, large corporate enterprises are demanding more advanced functionality across a host of use cases and applications from LLMs. New models such as GPT-5 doesn't simply mean "smarter" chatbots. Rather, GPT-5 and the competition that it spurs will open the door to a host of new applications in agentic AI, healthcare, and even adjacent models that lead to breakthroughs in robotics, autonomous vehicles, and wearable tech. Considering OpenAI reportedly already has millions of paying customers and is on track to generate $20 billion in annual recurring revenue this year, I suspect the release of GPT-5 will serve as a bellwether for even more accelerated AI adoption. How is GPT-5 bullish for Nvidia? In a recent article by my fellow Fool Danny Vena, he made an astute point that AI adoption is moving downstream -- an idea that I don't think most investors fully grasp yet. Each new generation of an AI software model such as GPT innately leads to more demand for training and inferencing hardware. These developments require significant computational power in the form of GPU clusters, which plays right into Nvidia's rolodex of industry-leading AI accelerators, networking equipment, and CUDA software stack. Taking this one step further, the release of GPT-5 now raises the stakes for rival LLM platforms like Anthropic, Claude, Gemini, and Perplexity -- ultimately creating an intensified arms race for complex GPU architectures, such as Nvidia Blackwell. Is Nvidia stock a buy right now? The chart below illustrates trends in Nvidia's forward price to earnings (P/E) multiple over the last three years. Although Nvidia's forward P/E ratio is both higher than the three-year average and clearly experiencing an expansion phase at the moment, the valuation multiple does remain at a steep discount to prior levels seen during the AI revolution. I think Nvidia's premium forward earnings multiple suggests that investors are generally bullish on the company's prospects. However, the discount to historical levels could suggest that investors may not fully appreciate how rising AI infrastructure investment will translate into meaningful and accretive gains across Nvidia's ecosystem. More advanced applications will continue to drive demand for Nvidia's full stack as the company plays a critical dual role in powering the creation and ongoing development of AI models across hardware and software. For this reason, I think Nvidia is positioned for further valuation expansion and see the stock as a no-brainer opportunity for long-term investors to buy and hold for years to come. Should you invest $1,000 in Nvidia right now? Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $653,427!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,119,863!* Now, it's worth noting Stock Advisor's total average return is 1,060% — a market-crushing outperformance compared to 182% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 11, 2025 Adam Spatacco has positions in Nvidia. The Motley Fool has positions in and recommends Nvidia. The Motley Fool has a disclosure policy. OpenAI CEO Sam Altman Just Delivered Incredible News For Nvidia Stock Investors was originally published by The Motley Fool Error 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
