Shawn Rhoads

For years, the fast-food industry has been integrating AI technology into its operations. Meanwhile, a Wendy’s location in Florida is currently piloting AI-driven drive-thru order systems. Having extensive experience in the AI field, I've observed that many speech startups and CSPs have explored this application. In today's competitive business landscape, leveraging AI isn't just about staying ahead—it's about thriving. Businesses are harnessing AI to maximize revenue, minimize costs, and unlock new growth opportunities. From personalized marketing campaigns to predictive analytics driving informed decisions, AI is revolutionizing how businesses operate. Chatbots and virtual assistants provide seamless customer support, while dynamic pricing strategies optimize revenue streams. Supply chains are optimized for efficiency, and fraud detection is bolstered by AI algorithms. Embracing AI isn't just a trend—it's a strategic imperative for businesses looking to succeed in the digital age. Are you ready to harness the power of AI to drive revenue and cut costs in your business? Let's explore how AI can transform your operations and unlock new opportunities for growth. Join a free demo with me to discover how you can leverage AI to enhance your business. Sign up here 👉 https://lnkd.in/gZnm-6yg

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"We call it Bolt because it's super fast — meeting even the tightest deadlines without ever compromising on quality. Think of it as turning your crude oil data into rocket fuel." 🚀 Today, we're launching Ocular Bolt for ambitious AI projects. As the demand for custom AI models grows, businesses increasingly need proprietary datasets tailored to their unique challenges. Ocular Bolt combines Reinforcement Learning from Human Feedback with state-of-the-art (SOTA) tools to generate golden datasets, handling even the most complex annotation needs. It’s built to save you time, money, and effort, empowering businesses to scale faster. Couldn’t be more thrilled to launch this game-changing service! Launch Week 1 -> Day 5 Ocular AI (YC W24) Read more: https://lnkd.in/gjxyvpQ6

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New Feature Alert ✨ AI LABELING Use #AI & #LLMs to automagically label #data. Super easy & quick with Edge Impulse. Check comments to get started free👇

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In a recent interview on 60 Minutes, Jensen Huang, the founder and CEO of NVIDIA, shared a profound perspective: "If you want to do extraordinary things, it shouldn't be easy." Huang's journey epitomizes this ethos. Back in 1993, Huang, then a 30-year-old immigrant and electrical engineer, together with two friends, conceptualized a groundbreaking idea for a graphics chip. Despite facing significant setbacks that nearly led to bankruptcy, they persevered and ultimately invented the GPU, transforming the landscape of video game graphics and beyond. Huang foresaw the potential of GPUs in powering artificial intelligence, a risky but visionary move at the time. Researchers soon discovered that Nvidia's architecture was tailor-made for the deep learning algorithms driving modern AI. This led to the development of GPU-driven AI supercomputers, revolutionizing industries from healthcare to transportation. Today, Nvidia's chips are at the core of numerous AI innovations, from ChatGPT to self-driving cars, underpinning advancements in fields like drug discovery, robotics, and weather forecasting. Despite Nvidia's meteoric rise in value, reaching $2 trillion in just 8 months, Huang remains committed to pushing the boundaries of technology. Under his leadership, Nvidia continues to pioneer ever-faster and smarter AI chips, unlocking possibilities that were once unimaginable. From humble beginnings at a San Jose Denny's, Huang's journey exemplifies how bold vision, technical prowess, and unwavering determination can propel a company from underdog to industry titan. #NVIDIA #JensenHuang #AIRevolution

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In case you missed it.... We published a great H:F guest episode with Joel Portice, CEO of egnite - delving into the transformative role of data and AI in revolutionizing cardiovascular care. Joel shares his journey of leading five successful healthcare data companies, including the genesis and rapid growth of egnite, which was spun out from Edwards Life Sciences. egnite's flagship platform, Cardio Care, uses advanced analytics, machine learning, and AI to identify and manage cardiovascular patients, saving lives daily. This episode is a strong addition to our Heart Health Series on Health:Further. Please check it out: https://bit.ly/4fKmzCH

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AI that can use computers like humans? Anthropic just made it a reality. Anthropic's latest announcement is reshaping the AI landscape: 1. Upgraded Claude 3.5 Sonnet with industry-leading software engineering skills 2. New Claude 3.5 Haiku model matching top-tier performance at lower cost and speed 3. Groundbreaking "computer use" capability allowing AI to navigate interfaces like humans 4. Significant improvements in coding, with Claude 3.5 Sonnet outperforming all publicly available models on SWE-bench Verified 5. Early adoption by tech giants for automating complex, multi-step processes This leap forward in AI capabilities opens up exciting possibilities for automation, software development, and open-ended research tasks. However, it also raises important questions about responsible deployment and potential risks. What are your thoughts on the implications of AI systems that can use computers like humans? How might this change the future of work and technology? #ArtificialIntelligence #TechInnovation #FutureOfWork #AIEthics #SoftwareEngineering Share your insights in the comments!

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The Stacks. TLDR. (<2 min read) Sandboxes and bad questions We opened this month's Stacks by sharing our new AI integration, why Sandboxing is the right choice for our database and why this is the exact feature that you didn't ask for, but needed. Our second AI editorial shares the importance of asking good questions when doing research and how better search strategies won't completely save us. Fibro: Make a Decision Already Our fibromyalgia content gives you the confidence push you need to stop referring out these patients and making the freaking diagnosis yourself. Standards of care guidelines call for primary practitioners to just call it already. If you use the current guidelines, you're not likely to flag the wrong person. We promise. ED in men (and not the one you're thinking) Eating disorders are maybe more common in your patients with ovaries, but the consequences of missing it in the other 50% of your patients is just as serious. We share how to flag your patients with eating disorders regardless of gender, and why you need to be more careful looking at every patient that sits across from you. Thumbs down for B3 on cholesterol In our sneak peek content (typically for members' eyes only), we share the importance of clinically relevant outcomes for cholesterol care and how niacin doesn't fit the bill for cholesterol lowering. Hashimoto's and Ovarian Reserve A few important papers were published in the last 18 months creating even more of a concrete connection between HT and POI. If you're working with people TCC who have a positive TPO, you may want to read this ASAP. Want to read the whole thing? Click here: https://joom.ag/hStd

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Here is Aubergine Solutions's take on how agentic workflows will replace humans as AI tech matures. The future will belong to those organizations adapting AI to improve their productivity/efficiency/accuracy, which help overcome human limitations. #AI #AIInPractice #AIRevolution #AIAgents #OpenAI #startups #AIStartups

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I love #ChatlLLM, but try to figure out how they can offer access to all of these great LLMs like OpenAIo1 and Claude 3.5, along with all the other great integrations for onlyn$10 a month. Claude 3.5 Sonnet and #OpenAIo1 access is limitted on the originating platforms to premium users, is ChatLLM just eating the cost and doing an economymof scales thing? OpenAIo1 is rumored to eventually cost upmto $2,000 a month after Preview period is over. ChatLLm is awesome to include the additional features like a universal implementation of #artifacts and #agents which can be used with manymof the LLMs. #openai #claude

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Reimagining Healthcare Workforce Platfforms: Turning Capital Into Labor The future isn’t just about filling shifts. It’s about scaling labor intelligently, driving better outcomes for systems, staff, and patients alike. Andreessen Horowitz and Alastair (Alex) Rampell reinforced this Vision in a recent post and it applies to the next phase of healthcare workforce evolution. Healthcare workforce marketplaces plus AI are at the tipping point of transformation, evolving into systems of record that don’t just manage labor—they optimize it. Much like EHRs centralized patient care data, these marketplaces can centralize workforce operations, aligning talent supply with clinical demand. But there’s a bigger opportunity here: turning capital into labor. Here’s what I mean. Historically, industries (including healthcare) have focused on enterprise computing tasks—streamlining data entry, compliance, and back-office functions. While valuable, this approach often stops short of transforming the real-world, repetitive processes that make up the bulk of work in healthcare. Think beyond enterprise software. The next frontier lies in leveraging embodied AI and workforce marketplaces to automate and enhance labor-driven processes, transforming capital investments into productive labor outputs. For healthcare, this means turning staffing costs into scalable, dynamic systems that deliver value far beyond filling shifts: 1. Dynamic Labor Matching: Capital invested in marketplace platforms enables real-time matching of labor supply with patient demand, replacing outdated scheduling models with predictive, automated systems. 2. Workflow Automation: From credentialing to compliance and shift bidding, embodied AI can streamline traditionally manual tasks, freeing human resources for higher-value work. 3. Labor as a Strategic Asset: Workforce marketplaces shift the focus from static staffing budgets to proactive labor deployment, ensuring that every dollar invested in labor drives outcomes and efficiency. It is about the billions of repetitive, planned tasks that AI can improve. In healthcare, that means automating everything from staffing logistics to clinical task assignments, creating a horizontal system of engagement for labor (think Zendesk) that integrates seamlessly with vertical, workflow-specific platforms (think Toast for staffing operations). The result? Hundreds of billions in untapped market potential—and a healthcare workforce model that transforms how care is delivered. By turning capital into labor through smarter marketplaces and automation, we don’t just solve staffing challenges; we redefine what’s possible in healthcare operations and ShiftMed is leading the way with health systems moving beyond tired models. #capitalintolabor #systemsofrecord #healthworkforce #aiworkforce #healthsystems #hospitals #cno #hospitalceo #healthcareinnovation

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In this 9-minute episode of the Beyond Electric Sheep Podcast on AI, Brick Thompson and I discuss how Brick asked Anthropic’s Claude 3.5 Sonnet to write the code for a Pong game. It did so and, after a few requests for modifications, produced a usable game. This capability has huge implications for software developers, and for the evolution of AI. I asked Brick if he would advise a young person to pursue a programming career given AI’s new code-writing capabilities. Brick concluded that, for the mid-term future, there will still be opportunities for work in requirements definition, quality assurance, and security/safety. In the longer term, the best advice is to become an AI engineer. https://lnkd.in/gNkS8Bvg #AI #Software Development #Claude #Anthropic #Career Planning

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We're trying a new thing: Company spotlights to help people better understand what various health IT vendors actually do 🔦 We’ll be cutting through the marketing speak to give short, to-the-point descriptions of a company’s product and/or service + some context on how they see their differentiators. Tag any companies in the comments you'd like to see us cover (and follow Elion if you want to stay in the loop!)

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AI's memory is sharper than we thought. New research reveals generative AI can recreate images after seeing just 200 copies. This finding raises intriguing questions about AI's learning capabilities and the implications for copyright and privacy in the digital age. What safeguards should we implement to protect intellectual property in an AI-driven world? #AIEthics #CopyrightLaw #GenerativeAI #TechInnovation #DigitalPrivacy

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2-minute video (thank you Dovid Schick for sharing): Google DeepMind posted this astonishing demo last month. The tester interacts with a prototype of AI agents supported by Google's Project Astra multimodal foundation model, Gemini. There are two continuous takes: one with the prototype running on a Google Pixel phone and another on a prototype glasses device. The agent takes in a constant stream of audio and video input. It can reason about its environment in real time and interact with the tester in a conversation about what it is seeing. The future is here and the implications far-reaching. #google #deepmind #innovation #ai

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Meta's Orion AR glasses are a potential game-changer for millions of older adults. We're on the cusp of a technological revolution that will profoundly impact how we age. The Orion AR glasses aren't just another tech gadget. AR glasses have the potential to tackle common aging challenges: ➡️ Diminished Vision: Aging adults can now see the world more clearly with AR glasses adjusting contrast, enlarging text, and highlighting obstacles. 🗣️ Hearing Loss: Real-time conversation transcription means no more missed words for adults with hearing impairments. 🧠 Cognitive Decline: Gives gentle reminders for medications, appointments, and daily tasks - promoting independence and peace of mind. 🤝 Social Isolation: Through seamless virtual interactions, older adults can now stay connected with loved ones. Of course, the technology is not ready just yet. User-friendly design, comfort, privacy, and affordability are all crucial factors that AR manufacturers need to improve upon. But I feel like the potential benefits here are immense. What are your thoughts on the potential of AR to improve the lives of older adults? #aging #AR

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My agentic tool stack has been growing the more I work in this space, and right now, my latest obsession is Exa AI and how it optimizes the web for LLMs. Earlier, I was using Firecrawl to get the output in the way I desired, but it was missing the sourcing part, and Perplexity just wasn't cutting it. Exa solved the sweet spot for me #ExaAI #AITools #LLMOptimization #AISearch #WebCrawling #AIInfrastructure #AIScraping #AIEngineering #MLOps #AIStack #AgentStack #AIWorkflow #SearchAI #PromptEngineering #LLMTools #AIProductivity #TechStack #DataRetrieval #AIInnovation #RAG

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Want to learn how to deploy instant vector search like this? Render results in 200ms or less. Join Steph Dietz on Tuesday @ 11A PT, and she'll teach you how. https://lu.ma/sanjy86t

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