Thomas Ryan

"Torture them into greatness" - Jensen Huang, Nvidia's CEO. Stripe Sessions, what a blast! I had the opportunity to hear from industry leaders, including Nvidia's CEO, Jensen Huang. His journey, from an immigrant at age nine who worked in various jobs, including cleaning toilets, to leading a tech giant, is truly inspiring. Key takeaways from his talk: * He always loved his job and tried to perfect it, regardless of the job at hand. * "When you are doing something that is not easy to do, you are not always enjoying it." * "Joy is not a definition of a good day." * "You have to suffer; you have to endeavor; you have to do those hard things and work through it in order to really appreciate what you've done." * Greatness is, by definition, plenty of pain and suffering. * Huang gives one-on-one feedback in front of the entire group as he believes nothing is better than learning from other's mistakes. * He does not have a work-life balance. Thank you, Stripe, for this unforgettable experience! #StripeSessions #Inspiration #Leadership

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𝗔𝗽𝗽𝗹𝗲 𝘀𝗵𝗼𝘄𝗰𝗮𝘀𝗲𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝘂𝗽𝗴𝗿𝗮𝗱𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗶𝗣𝗵𝗼𝗻𝗲 🚀 This clip from Apple’s event yesterday outlines all the advancements in the new A18 chip, specifically designed for AI. This isn’t just another upgrade—it’s a leap forward, bringing AI capabilities to the forefront. The A18 chip is engineered to unlock the full potential of the next wave of intelligent applications on-device. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿? Because the A18 chip isn’t just faster; it’s built for AI. Apple has poured innovations into this silicon, enabling real-time processing of complex AI tasks right on your device. Whether it's lightning-fast image recognition, advanced language processing, or seamless augmented reality experiences, the A18 chip is the key to tapping into the future of AI. 💡 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗰𝗮𝘁𝗰𝗵: To fully leverage these new capabilities, you need a device that’s powered by the A18. The question isn’t just whether you should upgrade; it’s whether you’re ready to step into the future of AI. ✨ Apple’s strength has always been in creating devices where the hardware and software work in perfect harmony. The A18 chip exemplifies this, designed to elevate your entire experience. By upgrading, you’re not just getting the latest tech—you’re embracing the next evolution of Apple’s innovation, where every interaction is smarter, faster, and more intuitive.

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Glad to have shared my thoughts around software, hardware, and our insatiable thirst for more energy with Scott McGrew on NBC Bay Area. https://lnkd.in/gYR-q9gS As data centers, and the energy to run them, represent a larger portion of enterprise P&L we need to start thinking about how we're building software, and whether it is efficient, not simply to make an app faster, but to spend the least amount of energy necessary. We're in a new era of tech companies buying nuclear reactors, it's time to get serious about leveraging more efficient hardware to get the most done with the fewest watts. Voltron Data #SQL on #GPUs

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Unfortunately OpenAI o1 isn't "reasoning" or "thinking" as we humans define it. OpenAI has (intentionally?) muddied the UI/UX waters by introducing verbs like "thinking" / "analysing" etc. to encourage users to anthropomorphize what is going on behind the scenes. o1 is more like iterative prompt generation, and then doing next token prediction for each prompt using an agent. So, yes — it may generate better answers in some contexts, especially the ones where RLHF has been used on its chain-of-though processes (prompt generation), like maths and programming, but its likely to fall into many of the same general traps as next token prediction. The structure and sequence of tokens doesn't *generally* allow you to infer logic. Syntax is not semantics, and the jury is still out on what level of semantic generalisation LLMs can encode, to say nothing of their implementations of algorithms for logical inference and search. #LLM #OpenAI #o1

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https://lnkd.in/gpEPVFs5 Intel to scrap IDM 2.0 strategy? 🤔 Intel News Roundup of media reports: -Intel Foundry is going to be a subsidiary. “Does it ever fully separate? That’s an open question for another day,” said co-CEO David Zinsner -co-CEO MJ Holthaus named CEO of Intel products, and promised to invest more to make offerings more competitive in the long run. -Intel Products will seek the right manufacturing partner by product. "At times picking TSMC is right, and at other times it makes sense to use Intel Foundry,” Holthaus said. -"We've had some issues in the data center side," she said. "2025 is a year of stabilization and regaining our market share," said Holthaus. "…Up to now, AMD has been doing a better job than us.” -Intel plans to provide a more generic graphics chip, as the Gaudi AI accelerator is difficult to use, Holthaus said. -Intel will focus on concrete achievements and give up on “meaningless” long-term total deal value predictions on its chip foundry effort, Zinsner said.

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Since launching last Fall, its been incredible to see all the many workflows and integrations that companies are building with Lucid's Developer Platform. We've seen companies build automated processes and deeply linked templates that help with Sales, Marketing, Operations, and Engineering teams get the most out of Lucid. Come learn how to get started building from two of our engineers on the API teams who help engineers build these integrations every day.

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Geoffrey Hinton, the "godfather of AI" and 2024 Nobel laureate in Physics, has sounded the alarm on the technology he helped create. His concerns echo those of the Keurig cup inventor a decade ago, who regretted the environmental impact of his innovation. Both cases highlight a crucial lesson: groundbreaking technologies can evolve beyond their creators' intentions. Hinton warns that AI could pose an existential threat to humanity, potentially manipulating people and even replacing biological intelligence24. As he puts it, "It's quite conceivable that humanity is just a passing phase in the evolution of intelligence." These cautionary tales remind us of the importance of responsible innovation. As technology advances at breakneck speed, we must ensure it benefits rather than harms our future. It's time to heed the warnings of pioneers like Hinton and work towards aligning AI with human values and interests. Source - https://lnkd.in/gxH-KDFu

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More and more of this will get into various markets and the burden of owning a car and having it parked kind of falls away. But how will the insurance markets deal with pricing this for any insured event. For example two driver less cars hit each other and create third party losses.

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With NVIDIA NIM and NIM Agent Blueprints, medical researchers across the public sector can jump-start their adoption of state-of-the-art, optimized AI models to accelerate their work. 🔗 https://nvda.ws/3NnkMYy Learn how #NVIDIAInception startups Abridge & ConcertAI leverage NVIDIA AI solutions to improve efficiency, reduce administrative burdens, and advance medical research and patient care. 🩺 Abridge ConcertAI

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Tonight, I stepped into the future 🚗 24 min. fully autonomous Waymo in SF. From complex turns to city traffic, it handled every move flawlessly. Safety. Affordability. Innovation. 🤯 📍Here’s what caught my attention: 1️⃣ Safety First – I felt secure throughout; the technology was tuned to anticipate every turn and stop. 2️⃣ Affordable Access – Costing less than my other rideshare options, it hinted at a future where AVs make mobility more accessible. 3️⃣ Invested Future – Alphabet’s $5.6 billion investment isn’t just about tech. It’s about making transportation work for people. 🌊 The potential is here and now. Autonomous vehicles are set to redefine what it means to travel: safely, affordably, and sustainably. Imagine a world where transportation is truly built for people. ❓Would you ride in a fully autonomous vehicle? Follow Elise Victor PhD

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Reflections on my first-ever self-driving Uber (Waymo) experience... When I told my family and friends about my first Waymo, autonomous vehicle experience, I was surprised by the reactions. "You are so brave." "Weren't you scared?" "I have driven in SF, that is insane." "I never even knew that was a thing." "That sounds so risky." "Only in California." I reacted by saying that these cars were all over the city, and they seemed very safe, reliable, and even cool. Most importantly, they really seemed to work. In fact, I recall watching people exit the vehicles, and they all looked happy, excited, and really glad they took the risk. I began to reflect on how this experience equates to pharmaceutical companies first choosing to use Mobile Locker over the safer, more comfortable, and more visible choice(s). After all, the small, lesser-known experience is a bit riskier, right? But in the end, it turns out we, too, are "all over the city," with nearly 60 satisfied pharma/med device clients. And yes, I think most would say we are safe, reliable, and...(well, okay, maybe not necessarily cool.) Finally, most every one of our clients is happy, excited, and really glad that they took the risk. Why...because Mobile Locker really works. So if you are seeking to provide more impact and value to your field and to the HCPs you are targeting with your digital messaging... Consider riding with us here at Mobile Locker. #pharmaindustry #meddevices #hcpengagement

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Very interesting essay by Dario Amodei CEO of Anthropic. As long as we can create safe and powerful AI systems the world can become a better place for all of us. https://lnkd.in/g7YzGP9s

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Come check out this talk if you want to learn how we built distributed queries for Iceberg + Python!

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