Jan Beránek

🚀 Agora Integrates with OpenAI to Launch Real-Time Conversational AI SDK 🚀 Agora Agora, Inc. has launched its Conversational AI SDK, integrated with OpenAI’s Realtime API, which is set to revolutionize real-time, voice-driven AI experiences across multiple industries. This integration is a game-changer for developers, allowing them to effortlessly bring natural, voice-driven AI into a wide array of applications. Whether it’s 24/7 customer support, concierge services, health and wellness, education, language learning, or even gaming, the new SDK provides endless possibilities for more interactive and engaging AI-powered user experiences. Key features of the Agora Conversational AI SDK include: Seamless real-time voice interaction with OpenAI’s GPT models Ultra-low latency response times, thanks to Agora’s global real-time network powering 60 billion minutes of interaction per month Built-in AI echo cancellation and background noise suppression to ensure clear, accurate voice processing in any environment This is a huge leap forward in bringing lifelike AI experiences into everyday life. Companies like Grepp and Wyze are already leveraging this integration to enhance personalized learning and IoT devices. As Agora's CEO, Tony Zhao, put it: "The integration with OpenAI will unleash a wave of creativity and utility in the AI space unlike anything we have seen to date." 🌐 Developers can now tap into the full potential of real-time conversational AI, opening doors to new innovations that were once thought impossible. Learn more about how you can integrate the Agora Conversational AI SDK into your applications and enhance user engagement through natural, voice-driven interactions. 🔗 Check out more here: https://lnkd.in/grxmQgJc #ConversationalAI #RealTimeAI #VoiceDrivenAI #AIInnovation #AgoraSDK #OpenAI #ArtificialIntelligence #AIInHealthcare #AIInEducation #AIInGaming #CustomerSupportAI #IoTDevices #TechInnovation #VoiceAI

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Interesting conversation between Jason Calacanis and Tekedra N. Mawakana Mawakana, CEO of Waymo (Google's self-driving project).... (Paraphrased) Jason Calacanis: Why are you not testing your Waymo self-driving on highways? You seem focused primarily on city environments like San Francisco, yet in my experience being a tesla-owner from the very beginning (and using both auto-pilot and then full self driving) it is better on the highways. You seem to be taking the opposite approach. Is it because speed kills? Tekedra: Our mission is safety and to get to Level 4 driving (the highest level of autonomous driving, no driver behind the wheel, no drivers' license) and so we’ve made a deliberate decision to focus on crowded urban environments because that is the hardest problem. Anything that doesn’t contribute to our getting to Level 4 is not interesting to us (not intended, but could be back-handed compliment to Musk 🙂) You don’t learn anything new self-driving on the same boring monotonous highways. --- Great point! #waymo #allin #selfdriving #google

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Hot off the press, #SenseTime has just revealed SenseNova 5.5! This is not just another piece of software lineup, rather it is elevating the AI landscape in China and beyond. With SenseNova 5o, which is hailed as China’s first real-time multimodal model, it's significant for several compelling reasons: • **Unprecedented Interaction Level**: Aligning with the cutting edge AI features as seen in GPT-4o, it's introducing a paradigm shift in how we interact with AI. You can now communicate with the model akin to having real conversations! • **Transformative Potential**: Major improvements hold the potential to disrupt multiple sectors including education, healthcare, automation, and other digital services. This leap isn’t just about technology progress but reshaping our world. But, let's not just celebrate what's been achieved; let's anticipate what's still to come as AI technology matures. As an AI content expert, I wouldn't be true to my trade if I didn't draw a quick prediction. And, there is reason to be optimistic: 1. **Towards Better UX**: With the real-time multimodal model, the future of User Experience (UX) looks brighter. Designers, take note! 2. **Fostering AI Adoption**: The intuitive and user-friendly operations could likely accelerate AI adoption across diverse sectors. 3. **Building Resilient Infrastructure**: SenseNova 5.5 might just be a stepping stone towards building robust AI infrastructure for future innovations. Despite the excitement and anticipation, it's of utmost importance to remember that this real-time multimodal ability calls for responsible usage, strict compliance, and a stringent ethical framework. #AI is a tool that should be used judiciously, respecting the privacy of its users. The unveiling of SenseNova 5.5 is a manifestation of the power of technology—how it transcends boundaries to realize aspirations that once seemed like parted clouds. To #innovations that drive us forward 🚀 #AI #AItechnology #SenseTime #SenseNova #TransformationTuesday (Max characters: 1746)

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For those of you still doubting Artificial Intelligence....wake the f$%& up!!! Go walk around downtown San Francisco and maybe all of Google's Waymo driverless cars on the streets may be a wake up call for you. If you need more proof take a look at Y Combinator's current cohort of companies as well as all the AI and AI-Enabled companies in the MedTech Innovator current cohort of companies or the ones pitching at LSI and LSI Europe!

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The best startups don’t find a market. They define it. Semantic Search powers VCs to define a category in their own words and uncover every relevant startup in that space. Harmonic’s complete startup database, coupled with advancements in AI, is revolutionizing how investors find and evaluate their next fund returners. Semantic Search helps you understand markets and surfaces hidden opportunities by contextualizing search intent and making cross-industry connections. What’s a problem you think is worth solving, a product that should exist, or a business model built to win? Just describe what you’re looking for, and Semantic Search handles the rest. https://lnkd.in/gU7VvzWa

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This week on Unsupervised Learning Scott Belsky shares his thoughts on the future of creative tools with AI, how hyperpersonalization will be enabled and what humans will do amidst a sea of AI content. Scott is the founder of Behance, a creative platform sold to Adobe in 2012. He’s since gone on to take on the role of Chief Product Officer at Adobe leading design for all products across Creative Cloud, Document Cloud and the Digital Experience business. Some of my favorite takeaways from this episode👇 Everything hyperpersonalized Scott breaks down how hyper-personalization will change websites and emails, making each experience feel like a conversation. Behind the scenes, it will be not just about the data or the models but the workflows and systems that manage and optimize these interactions, ensuring they're both effective and appropriate. As brands race to deliver these personalized experiences, there's a growing need for nuanced control and creativity in content creation, highlighting the importance of human touch in a digital-heavy landscape. Craving Scarcity Scott reflects on how our craving for exclusivity extends beyond just physical goods like luxury shoes and cars, into the realm of digital products. As software becomes more commoditized, there might be a rise in distinctively human rather than AI-generated software. He uses the example of Superhuman's onboarding experience as a marker of luxury in software, emphasizing that people are willing to pay for software that offers a more personalized, premium experience. This shift underscores a broader desire for meaningful and crafted digital interactions, potentially revitalizing the role of human creativity in content creation. What comes next for Generative AI GenAI is basically a glorified assistant today in that it can handle searches and answer questions. The next phase will come when AI can perform tasks, simplifying creative processes in software like Photoshop, allowing users to breeze through tasks with minimal effort. The tier after that is proactively pushing users to explore creative avenues they hadn’t considered, which could significantly enhance problem-solving and innovation. An amazing conversation with one of the most prolific design-thinkers of our time. Thanks again to Scott for coming on and hope you enjoy! YouTube: https://lnkd.in/gggJX48v Spotify: https://spoti.fi/3KFqG5Y Apple: https://apple.co/3VBzyzG

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GPT-4o is enabling Product Requirement Documents (PRDs) to be converted into Figma designs instantly. Designer Yancy Min spearheaded this three-month experiment, and the results are absolutely game-changing. Current AI2UI products rely too much on templates, lacking scalability and the nuanced understanding of human designers. Yancy's goal: Make AI-generated drafts practical using users' design systems. Phases of Yancy's Experiment Phase 1: Tackling Layout Issues - Initial focus was on layout problems with Ant Design. Results weren't great due to missing content data but provided key insights. Phase 2: Optimizing Component Selection Improved component selection and layout organization. Significant logic improvements here. Phase 3: Adding Local Styles and Content Introduced local styles, text, images, and icons after intense testing. Made interfaces practical and real-world ready. Phase 4: Achieving Breakthrough Results Three months in, a breakthrough: AI exceeded expectations, a mix of excitement and frustration. Yancy refined his methods over three months, resulting in: - High-Quality Design Systems support (Ant Design Mobile, Arco Mobile) - PRD parsing - Smart content filling - Compatibility with desktop and mobile designs - Interactive links creation - Auto layout and semantic layer naming This experiment highlights AI's incredible potential for design automation. Next up: turning this into a product or Figma plugin. Sign up for Yancy's Product Trial Waitlist: https://lnkd.in/dkBWqNhs

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Imagine a world where patients have access to expert pharmacists, specialized in the diseases or conditions they face, working alongside their community pharmacists for comprehensive drug management. That’s the future we’re building at AidRx—one where pharmacists are empowered to provide specialized support beyond the confines of traditional practice. Together, we can elevate patient care to a whole new level. Follow AidRx for more updates on how we’re making this a reality. #PharmacyInnovation #PharmacistCare #PharmacyOwner #ClinicalPharmacy #HealthcareSolutions #PatientCare #RemotePharmacy #PharmacistCommunity #ChronicDiseaseManagement #PharmacyLife #AidRx #PharmacySupport

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#SanFrancisco VC Firms Overview Access a curated list of 270 venture capital firms in #SanFrancisco. Click here for details https://lnkd.in/dqizhN92 #startup #startups #vc #venturecapital #investmentbanking #privateequity #managementconsulting #b2b #founders #entrepreneurs

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Join the Chrome Built-in AI Challenge for a chance at big prizes! Chrome recently launched the "Built-in AI Challenge," inviting you to transform web experiences using Chrome's new AI APIs, powered by Gemini Nano. The challenge is still open (until December 3rd!) with lots of prizes to give away totaling $65,000. Want to see these APIs in action? My recent video below showcases their capabilities, demonstrating everything from generating a travel blog post to rewriting content in various styles and translating text. Imagine building tools that write, rewrite, and summarize text directly in the browser! This contest focuses on utilizing specialized APIs like Prompt, Language Detection, Translation, Summarization, Write, and Rewrite, all running locally for speed and privacy. These powerful APIs open up exciting possibilities. The Prompt API allows chatbot-like interactions, while the Writer API helps generate new content. Need to change the tone of existing text? The Rewriter API is perfect. For quick understanding, the Summarizer API condenses information efficiently. Translation and Language Detection APIs broaden your reach, making content accessible to a wider audience. Head to the Built-in AI Challenge website for details and start experimenting with the future today! https://lnkd.in/gJ4iJrFs #softwareengineering #programming #ai

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The SaaS ecosystem is unbundling, and we're witnessing the "verticalization of everything." In the coming years, expect several major AI-powered vertical SaaS companies to emerge. It's an exciting moment for startups. Here's what we mean: https://lnkd.in/d7vqpEcJ Two major challenges face horizontal SaaS today: • UX often lags far behind the consumer apps we use daily. • One-size-fits-all solutions don’t meet the unique needs of specific industries. Interestingly, this dynamic also applies to AI—vertical AI, trained with industry-specific data, consistently outperforms generalist AI. These factors are coalescing to create an "unbundling" opportunity in B2B SaaS. Years ago, the Craigslist "online classifieds" model was unbundled into industry-specific marketplaces like Airbnb and Etsy. Horizontal B2B SaaS players are about to face the same. Industry-specific platforms, powered by AI, will "super serve" their niches, and the market for these is far bigger than people realize. More on our vision in the essay below: 

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We're launching the inaugural edition of Beyond Benchmarks, a deep dive into the metrics and trends observed across the early-stage enterprise cloud market. This is the first look at some of the business data around GenAI in SaaS. Some initial observations: 1) 60% of SaaS companies have already integrated GenAI into their offerings (60% of these as part of their current product and 40% as a new product), and an additional 20% are planning to do so this year. Almost half aren't monetizing these features. Those that are are primarily experimenting with both usage-based and flat fee pricing models. 2) Most companies are utilizing OpenAI as their primary LLM, but many are experimenting with multiple models - and we are noticing an early trend towards intelligently routing GenAI inference requests to different models based on cost, performance, and security. 3) Though we are in the initial innings of GenAI, we are seeing some positive signals - companies that implemented GenAI had 7% higher NDR than those that did not. Still early days, but we'll be doing this benchmarking report regularly to track and share how things progress in this new era. Link to report in comments.

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Just finished reading "The Next Giant Leap" by Space Capital - a pioneering VC investing in the emerging Space Economy. The report speaks to how SpaceX’s Starship is more than just the most powerful rocket ever built—it is poised to reshape the global space economy in profound ways. With its immense payload capacity, reusable design, and lower cost per launch, Starship will unlock entirely new industries and transform existing business models. But how should industries and businesses evolve to align with this paradigm shift? 📈 Rethinking Business Strategies & Supply Chains - For businesses, Starship represents an era of mass-production over precision engineering. This means moving away from the focus on mass efficiency toward cost-effective, redundant, and scalable production. - In terms of supply chains, this opens opportunities for new players in manufacturing, materials, and space components. The demand for off-the-shelf parts and non-aerospace suppliers will rise dramatically. 💡 New Use Cases & Opportunities   The opportunities Starship unlocks go beyond launching satellites. - In-space manufacturing of high-value products like pharmaceuticals and advanced materials that cannot be created on Earth. - Mega-constellations of satellites for global broadband, expanding on what Starlink has already begun. - In-orbit assembly and servicing, allowing for larger space structures like telescopes or even habitats to be built in orbit, radically reducing costs. - Lunar infrastructure and resource extraction will become more viable, paving the way for sustainable human presence on the Moon and, eventually, Mars. 📊 What Should Businesses Do Now?   1. Embrace Redundancy & Scale – Instead of focusing on one-off, high-cost solutions, businesses should embrace redundancy and mass production.    2. Simplify Design – With Starship’s payload capacity, there is less pressure to optimize for mass efficiency. Simplified, scalable designs will allow for faster production and iteration cycles, akin to how SpaceX rapidly tests and evolves Starship itself. 3. Develop Strategic Partnerships – Collaborating with forward-thinking space startups, suppliers, and even non-aerospace sectors will be essential to capitalize on the opportunities Starship provides. 🌌 A New Era of Innovation   Starship will democratize access to space, lowering the barriers for businesses to create and scale. The next decade will witness breakthroughs in scientific exploration, energy production, and in-space transportation that we can only begin to imagine today. #SpaceEconomy #Starship #Innovation #SupplyChain #Manufacturing #SpaceTech #Entrepreneurship #FutureOfSpace https://lnkd.in/gNdbwXdq

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Managing and monitoring #AI models in production environments is a real challenge that many organizations, both big and small, not fully prepared to handle. How does one know their models are performing as intended? How does one fix a model when an issue is detected? Cerbrec's #graphbook helps customers not only deploy models but also actively monitor their performance. SRI Ventures is excited to officially welcome Cerbrec to the Portfolio and work with Garrett Wang, David R. Winer and the entire team to help them accelerate the development of model observability features! If you are interested in learning more about Cerbrec, then please each out to the team! Techstars AWS Startups Bac Tran Todd Stavish #genai #aiml #startups #vc #mlops #deeptech

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Web2: "AI heralds a new epoch for humanity, where the synergy of human creativity and machine intelligence reshapes every facet of existence—eradicating ignorance, amplifying prosperity, and crafting a harmonious world where potential knows no bounds." Web3: "Bro, the tweets are banger! We are early, just $1B market cap coin. You have to ape now, this is the next solana!" Web3 is build differently #RightClickSaveAs

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Instacart is a market leader when it comes to leveraging AI tools to boost productivity at work. I had an amazing conversation with JJ Zhuang, Instacart’s Chief Architect, who has shepherded over 50 AI-driven initiatives to market across the org. We explored what catapulted Instacart to the forefront of AI integration, supporting radically diverse use cases across various functional areas. One striking insight (echoed by Ethan Mollick and others elsewhere) is that you often don't need specialized tools for specialized work. Frontier models like GPT-4 can seamlessly adapt to a wide range of functions and use cases. They're not just for engineers; they're incredibly versatile tools used by marketing, comms, and legal teams. From generating code to proofreading and ideation, GPT-4 empowers every department to leverage AI for enhanced productivity and innovation. By integrating LLM’s like GPT-4 into their workflows, teams can streamline processes, automate repetitive tasks, and unlock bandwidth for new creative possibilities. How can you harness the power of AI in your own work to boost productivity? Share your thoughts below 👇 Want to hear more insights from JJ? Check out the full podcast episode by clicking the link in the comments.

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