Invest in AI stocks with ChatGPT's buzz. 12 companies to consider.

#AI or Die? How the Hype Got Ahead of Reality In late 2022, the world discovered ChatGPT - and an entire industry lost its collective mind. Fast-forward three years, and the bubble burst spectacularly. An MIT study revealed that 95% of enterprise AI pilots fail. A bungled GPT-5 launch triggered a user revolt. But even with breakthrough technology, success still comes down to execution. Research shows that up to 90% of startups fail—22% from a poor go-to-market strategy. --->>> Feature your #AItool in front of 13M people and give it the GTM boost it deserves: https://hubs.li/Q03GxjRJ0" But...How did the miracle become a meme so quickly? Let’s unpack the timeline. ▪️ Phase 1 – The Hype Rocket (Nov 2022 – Early 2023) - ChatGPT-3.5 goes viral (Nov 30, 2022). OpenAI released #ChatGPT-3.5; within two months the model attracted more than 100 million users, catapulting generative AI into mainstream consciousness. - Microsoft’s ten-billion-dollar bet (Jan 2023). Microsoft invested US$10 billion in OpenAI, valuing the startup at roughly US$29 billion. - Legal trouble appears. Getty Images sued StabilityAI for training models on millions of copyrighted photos. ▪️ Phase 2 – The Olympic Arms Race (Spring 2023 – Mid 2024) - GPT-4 arrives (Mar 2023). OpenAI rolled out GPT-4 with 1.76 trillion parameters. - The deepfake era. In April 2023 the infamous Balenciaga pope meme went viral. It showcased generative models’ ability to create hyper-real imagery—and how easily they can be abused. - Government gets involved. The U.S. Senate held its first AI hearing in May 2023. Lawmakers asked basic questions like “Can AI kill us?” while fumbling with their iPhones. - OpenAI crisis. In November 2023 Sam Altman was abruptly fired by OpenAI’s board and then rehired days later. ▪️ Phase 3 – The Cracks Appear (Late 2023 – 2024) - Executive order (Oct 2023). The White House’s sweeping order framed AI as “the most consequential technology of our time,” adding mandatory safety tests and watermarking rules. - “AI or die” memos (Jan 2024). Consultancy reports urging CEOs to “deploy AI or risk extinction” proliferated. Product flops. - Google’s Gemini launched in March 2024. - Microsoft stuffed Copilot into Office. - Slack’s AI summaries trivialized conversations. - Adobe Firefly impressed designers but raised questions about paying humans for AI-generated stock art. - Layoffs and AI washing. IBM cut 7 800 jobs while investing two billion dollars in AI, for example. ▪️ Phase 4 – The Bubble Pops (Aug 18, 2025) On a single day in August 2025, three events punctured the bubble: - MIT’s “GenAI Divide” report. - GPT-5 fiasco. - Sam Altman’s warning. ▪️ Lessons from the Wreckage - ROI matters more than demos. - Integration is the hard part. - Human-centred design is essential. - Beware overconfident timelines. What’s Next? 🩷 Feel free to share your opinion in the comments.

AI isn’t broken — it just needs trust, discipline, and a human touch.” What are your thoughts? Some call it an “AI failure” — it’s a reminder that hype without clarity never lasts. The real value flows when trust is built, execution is focused, and humans lead with AI as co-pilot. Are you ready to start creating lasting enterprise value? #HumanAI #ExecutionMatters #CapitalIntelligence

🚨 OpenAI just dropped a game-changer that could end AI hallucinations forever. Meet o1 (codenamed "Strawberry") - the first AI model that actually THINKS before it speaks. Here's why this is massive: Most AI models give you the first answer that comes to mind. o1 takes time to reason through problems, essentially fact-checking itself before responding. The results? Mind-blowing: ✅ Solves 83% of International Mathematical Olympiad problems (vs GPT-4o's 13%) ✅ Excels at complex science, coding, and math tasks ✅ Dramatically reduces those frustrating "confident but wrong" AI responses But here's the catch: ❌ 6x more expensive than GPT-4o ($15 per million tokens) ❌ Currently limited to ChatGPT Plus/Team subscribers ❌ Weekly usage caps in place This isn't just another AI upgrade. It's a fundamental shift in how AI processes information. Instead of rushing to answer, o1 pauses, considers multiple approaches, and validates its reasoning. Sound familiar? It's what we've been telling humans to do for years. The implications for businesses are huge: → More reliable AI-generated reports and analysis → Better code with fewer bugs → Trustworthy AI assistance for complex decision-making We're witnessing the birth of "thoughtful AI" - and it's going to change everything. What's your take - is this the breakthrough that finally makes AI truly reliable for critical business decisions?

The rise of AI technology is reshaping how we interact with the digital world, and free AI chatbots are taking center stage in this evolution. With options like ChatGPT and Google’s Gemini, users can dive right into engaging conversations without fronting any costs or completing sign-up forms. This increased accessibility is breaking down barriers, making advanced technology available to everyone from casual users to small businesses. Imagine integrating a chatbot into your website seamlessly, enhancing customer interaction without a hefty investment. It’s an opportunity to harness AI’s potential without the pressure of financial commitment. Have you tried any of these free AI chatbots? What has your experience been like? Your thoughts could inspire someone else to explore these tools! #AI #Chatbots #DigitalMarketing #Technology #CustomerEngagement https://lnkd.in/e-7mVx7B Messenger Bot

New reports from OpenAI and Anthropic give a clearer view of how people are using ChatGPT, Claude and similar AI models—and it turns out use is dominated by everyday tasks over hardcore professional work. Most users engage AI for personal-oriented stuff: looking up facts, asking for advice, writing or editing text, organizing daily plans, translations, etc. Work-related uses do exist—such as drafting documents, supporting coding or research—but those are a smaller slice. The data also shows a trend toward augmentation (AI helping humans) over automation (AI doing everything on its own), with many preferring tools that enhance their productivity over ones that replace major parts of their workflow.

Who’s Really Using AI Now - And For What?” 🤔🚀 OpenAI and Anthropic just dropped fresh, data-rich snapshots of how people are actually using ChatGPT and Claude. The headline: usage is exploding, but how and where people use these tools is diverging - by purpose, by country, and by whether it’s personal or for work. #AI #ArtificialIntelligence #FutureOfWork #GenerativeAI #AIFuture #TechTrends #DigitalTransformation #OpenToWork #Contract #CareerGrowth #SkillsDevelopment #Upskilling #Reskilling #Adaptability #Innovation #ContinuousLearning https://lnkd.in/gBt8YqS3

🚀 Chat GPT-5 is here, and it's a business game-changer! Just weeks after launch, GPT-5 is rolling out to OpenAI's Free, Plus, Pro and Team users and the results are already impressive. API usage has surged since launch, with the model now processing more than twice as much coding and agent-building work and reasoning use cases jumping more than 8X. But here's what really matters for your business: GPT-5 isn't just faster—it's smarter. ✅ 75% fewer hallucinations = More reliable outputs for critical decisions ✅ PhD-level reasoning = Complex problem-solving that actually makes sense ✅ 1M+ token context = Handles your longest documents without losing the thread ✅ Autonomous agent capabilities = Give it a goal, watch it execute multi-step plans Our thoughts: We're not dealing with a "fancy chatbot" anymore. This is enterprise-grade intelligence that can transform how you work. Quick wins to try this week: • Automate your customer support FAQ responses • Create a company knowledge base that actually answers complex questions • Let it qualify sales leads while you focus on closing deals • Generate marketing content that doesn't sound robotic The businesses winning with AI aren't the ones with the biggest budgets—they're the ones moving fastest to integrate these capabilities. Ready to see what GPT-5 can do for your business and explore other AI Tools? 👉 Drop us a line: support@thisainow.com 🌐 Learn more: www.thisainow.com Source: https://lnkd.in/gK7sx9M3 - CNBC, August 2025 #GPT5 #OpenAI #ChatGPT #ArtificialIntelligence #AI #BusinessAutomation #AITools #TechTrends #MachineLearning #DigitalTransformation #AIStrategy #Innovation #Productivity #CustomerSupport #MarketingAI #SalesAI #EnterpriseAI #AIAdoption #FutureOfWork #ThisAINow

ChatGPT just proved the smartest AI isn't always the best AI. GPT-5 Thinking mode: 5 minutes to read a parking sign. GPT-3.5 Basic mode: 5 seconds. Here's how to choose the right AI for every task (& save hours daily): Critics are attacking ChatGPT for using different AI models. They say it's choosing cheaper models to cut costs. OpenAI is sacrificing quality for profit margins. But they're missing what's actually happening: ChatGPT automatically selects which AI model to use for your query. Sometimes sophisticated, sometimes simple. Skeptics call this corner-cutting. I decided to test this myself with a real experiment: I needed to decode a complex parking sign in an unfamiliar city. Switched to ChatGPT's "thinking mode" for maximum analysis power. It spent 4 to 5 minutes processing that sign. The basic mode? 5 seconds for the same correct answer. The thinking mode considered every interpretation. Cross-referenced regulations. Built comprehensive decision trees. All for a task that needed a simple yes or no. This taught me something crucial about AI selection: Think about choosing between a bike and a car. A car is more sophisticated. But for 3 blocks in Manhattan traffic? The bike wins every time. We don't say bikes are "better" than cars. We choose based on context. Distance, traffic, weather, cargo determine your choice. The same logic applies to AI models. Yet the tech world insists more advanced always equals better. That's like taking a Ferrari to buy milk from the corner store. Using GPT-5 for simple tasks is Formula 1 engineering for a shopping cart problem. The overkill doesn't make you productive. It makes you slower and more frustrated. I'm seeing this pattern everywhere with AI agents: Companies deploy complex AI for basic automation. They build rocket ships to cross the street. Result: slower processes, higher costs, confused users. The solution is matching AI sophistication to task complexity. A scalpel beats a chainsaw for surgery. A calculator beats a supercomputer for basic math. Context determines the optimal tool. OpenAI understands this. Critics don't. This principle extends beyond just ChatGPT. It's about recognizing when simple solutions outperform complex ones. When speed matters more than sophistication. When good enough is actually better than perfect. This same thinking applies to blockchain technology. We force users through unnecessarily complex systems. Simple transactions require doctoral-level understanding. At Brava Labs, we build the right blockchain apps, not the most sophisticated ones. Our stablecoin platform strips away complexity while maintaining security. Because sending money shouldn't require a cryptography PhD. Making blockchain as easy as choosing between a bike and a car. That's how we're bringing web3 to the next billion users. Want weekly insights? Subscribe to Disruption Capital: https://lnkd.in/ddVzZJgg

Claude vs. ChatGPT vs. OpenAI – What’s the Difference Lately, I have been exploring these terminologies OpenAI – The organization behind models like GPT-4 and GPT-4o. They offer these via ChatGPT (the app) and the OpenAI API (for developers to integrate into products). Their models are strong in reasoning, creativity, and multi-modal tasks that is : text, code, images, audio ChatGPT – The application built on OpenAI’s models. It’s the user-facing product that millions interact with daily. Under the hood, it runs on different GPT versions (e.g., GPT-3.5, GPT-4, GPT-4o) depending on the plan. It also supports plug-ins, browsing, and code interpretation. Claude (Anthropic) – A conversational AI from Anthropic, designed with “constitutional AI” principles for safer, more controllable outputs. Claude excels in 1)Long context windows (processing 100K+ tokens in a single prompt). 2)Document analysis and summarization. 3)Compliance and safety-oriented tasks. What difference i came to know? Context length: Claude supports much longer input than most GPT models. Integration: OpenAI has strong API ecosystem and multi-modal capabilities Anthropic focuses on text-based reasoning and enterprise safety. Training philosophy: OpenAI emphasizes broad usability; Anthropic emphasizes safety and alignment. In short what i came to know is : 😊 👉OpenAI = the company. 👉ChatGPT = OpenAI’s flagship product. 👉Claude = Anthropic’s flagship product. #Thingstoknow #AI #GenAI #OpenAI #Artificialintelligence #Learning

Feeling overwhelmed by the sheer number of AI models and tools available? 🤷🏻♂️ The promise of simpler AI selection with GPT-5 hasn't materialized; instead, businesses face an increasingly complex landscape of models and choices within tools like ChatGPT. This complexity directly impacts small business owners who need efficiency without a steep learning curve. This trend highlights exactly why savvy businesses are turning to strategic AI consultation and implementation partners to cut through the noise. Having an expert guide to navigate these complexities can be the difference between wasted time on trial-and-error and achieving tangible ROI from your AI investments. Furthermore, inaction all together can lead to missed opportunity and loss of market share… Don’t flinch. ❎ What's one area of your business currently bogged down by manual processes that could be simplified with the right AI strategy? Need help identifying the drag? We help with that too. ✅ #AIforBusiness #SmallBusinessAI #DigitalTransformation #AIAutomation #BusinessStrategy #SuperLogicAI https://lnkd.in/efW3apkN