"Are we there yet?" Listen to Y Combinator's eagle-eye view rather than "the word from the herd" - A year is a long time in AI: "...it's hard to even remember now but a year ago one of the things that people said a lot was that these LLMs are not reliable enough to deploy in the Enterprise they hallucinate... [but now] not only is it translating into real Revenue but translating into real deployments that are being used at Large Scale ...because we've learned how to make the agents reliable via the kinds of techniques that Jake talked about when he was here and all this infrastructure has grown up around the models, it's enabled people to make them reliable. https://lnkd.in/dhtMdgQk #agents #llm #ai
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Grok-2 Takes xAI to New Heights, Outperforming GPT-4 and Claude! Grok-2, now available in beta on the X platform, has achieved state-of-the-art performance, outperforming major competitors like Anthropic’s Claude and OpenAI’s GPT-4 in key areas. This marks a pivotal moment for the startup, which initially launched Grok-1 as a niche, no-filter chatbot. This development positions xAI as a serious contender in the AI industry, offering a model that not only excels in technical benchmarks but also has practical applications ready for enterprise use. With the upcoming release of an enterprise API, xAI is set to attract significant interest from businesses seeking cutting-edge AI solutions. The startup’s access to vast real-time data from X and its ability to draw top-tier talent under Elon Musk’s leadership further solidify its potential for rapid growth and long-term success in the competitive AI market.
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📊 "Revolutionizing Bank Reconciliation with Generative AI", that was my talk at Mindstone AI Meetup last Tuesday. Because in Embat we truly believe that AI helps automating our customer's processes and leveraging better results. 👏 Thanks Melinda Jacobs and Carmen Keating for the invite, and Google for Startups. Read about our use case here (ES) 👇 🔗 https://lnkd.in/dPDs4AUk #Embat #GenAI
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CEO Exodus: LaMDA Architect Noam Shazeer Returns to Google, Leaving Character.AI Behind! #shorts #viralreels Breaking News! Character.AI CEO Noam Shazeer makes a surprise return to Google after founding the a16z-backed startup! What does this mean for the future of conversational AI? Shazeer previously led the team that built LaMDA, a language model used for conversational AI tools. Find out more about this significant development in the world of tech!
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Recently, Chinese AI startup DeepSeek captured the global spotlight by challenging the dominance of US companies like OpenAI and Google. In her latest blog, Lisa Brown delves into the key details behind DeepSeek’s rise and its effects on the market: https://hubs.li/Q034mz8K0 #TheKeyPointBlog #DeepSeek #ArtificialAI #R1Model #LLM
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Many AI startups are selling pickaxes in a gold-rush; and while those will be successful, there’s an entirely new category of AI products we haven’t seen yet. On Possible, we sat down with Bret Taylor, Founder of Sierra and Chairman of OpenAI to discuss what he was most excited about in the future of AI. His answer? New applications of the technology that solved real-life problems for businesses and for people. Right now, many companies are focused on building AI infrastructure, but what does it look like to live in a future where AI acts as a force multiplier, not just for productivity but for human creativity and problem-solving on a global scale? Listen to the full episode here: https://lnkd.in/g_DGcHvp
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🚀 DeepSeek: A Game-Changer in the AI Landscape?? Wow!!! A little-known Chinese startup, DeepSeek, has taken the global tech industry by storm with the release of its groundbreaking artificial intelligence (AI) model. What’s remarkable? Its capabilities are being compared to the cutting-edge creations of Google and OpenAI! This is a reminder to never underestimate the power of vision, strategy, and relentless innovation. #AI #DeepSeek #Innovation #Technology #Disruption #ArtificialIntelligence
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📹 You need to watch this video. ✨ New doja picks. Where we share with you the industry knowledge you should be keeping up with ✨ This video highlights the need for startups to have a clear mission to maintain a competitive edge within AI 🚀
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The next frontier of #AI: solving problems we can’t even imagine yet. Totally agree with Bret Taylor What excites me most about AI isn’t just what it can do today—it’s the entirely new problems it will solve in the near future. Like every major #technological revolution, AI will unlock opportunities we haven’t even dreamed of yet. Let’s reflect on two transformational waves of innovation in the last 40 years: 1️⃣ The #Internet When the internet first emerged, no one truly understood its potential. It didn’t just solve communication problems—it redefined how we access information, interact globally, and live our daily lives. Within seconds, you could connect, share ideas, and learn from anywhere in the world. The internet reshaped economies, how we work, how we connect socially, and how we entertain ourselves. 2️⃣ #Smartphones Smartphones brought innovation to a whole new level, putting a supercomputer in everyone’s pocket. Platforms like Uber transformed how we move, Instagram redefined social connection, and mobile tech disrupted industries like fintech, e-commerce, mobility, and entertainment. Globally, mobile technologies now represent over $6 trillion USD. These weren’t just tools—they became ecosystems that forever changed industries and societies. 3️⃣ #AI: The Next Big Wave AI is still in its early days, a phase I call “labeling, infrastructure, and early foundations.” We’re laying the groundwork for something massive. Initiatives like Project #Stargate—$500B invested into AI infrastructure in the US—highlight how this is the “railroad” or “electricity” moment of our time. The most exciting part? The real breakthroughs will come from AI-driven platforms solving problems we can’t even see yet—just as the internet and smartphones did but on an unimaginable scale. As #business executives, the key is to identify these opportunities early and adapt quickly. It’s not about using AI for the sake of it—it’s about addressing real #customer needs, solving #business challenges, and delivering better #solutions. Those who embrace AI’s true potential will lead the future. #AI #Innovation #FutureOfWork #ThoughtLeadership
Many AI startups are selling pickaxes in a gold-rush; and while those will be successful, there’s an entirely new category of AI products we haven’t seen yet. On Possible, we sat down with Bret Taylor, Founder of Sierra and Chairman of OpenAI to discuss what he was most excited about in the future of AI. His answer? New applications of the technology that solved real-life problems for businesses and for people. Right now, many companies are focused on building AI infrastructure, but what does it look like to live in a future where AI acts as a force multiplier, not just for productivity but for human creativity and problem-solving on a global scale? Listen to the full episode here: https://lnkd.in/g_DGcHvp
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At a JP Morgan conference earlier this year, Sam Altman, co-founder and CEO of OpenAI shared a bold vision for the future. He predicts that a solo founder could soon achieve a billion-dollar valuation without the need for a single human employee. Instead, this one-person company would be driven by AI, leveraging a network of AI agents to handle all its operations. I don’t just believe this is feasible; I anticipate that when it happens, this company will redefine the pace at which unicorns are born, marking one of the fastest growth trajectories we’ve ever seen. #FutureOfWork #AIRevolution #TechInnovation #UnicornStartups #AIAgents #DisruptiveTechnology #SoloFounder #Ai
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We All Know AI Can't Code, Right? -- The people who know how AI works need to speak up https://lnkd.in/e6b4xcpz #technology #startup #innovation #ai
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Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2moOn a deeper level, this shift signifies a paradigm change in how enterprises perceive AI. The focus has moved from theoretical potential to tangible, revenue-generating applications. This rapid evolution begs the question: given the increasing sophistication of these LLMs and their integration into enterprise workflows, what novel techniques are being explored to ensure human oversight and mitigate potential biases within these "agents"?