Paul Swartz
Burlingame, California, United States
88 followers
85 connections
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Explore more posts
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Rodrigo Aramburu
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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Elizabeth Samara-Rubio
It was a pleasure to join Rahul Abhyankar on his “Product Leader’s Journey” podcast! Topics that we discussed— 🔸 Business cases for GenAI 🔸 How "Customers will become ISVs" with new business models 🔸 The concept of "clock speed" in aligning with stakeholders 🔸 Identifying "pockets of possibility" in GTM 🔸 Considerations for machine learning at the edge
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Jeff Turner
Rigetti Computing reported its Q2 2024 financial results. The results reflect a company that continues to grapple with the challenges of operating within the nascent quantum computing industry, where we must balance the promise of future breakthroughs against current financial realities. By the Numbers: 🔹 Revenue: $3.1 million for Q2 2024, down from $3.3 million in Q2 2023. Total Operating Expenses: $18.1 million for Q2 2024, down from $19.0 million in Q2 2023. 🔹 Net Loss: $12.4 million for Q2 2024, compared to $16.9 million in Q2 2023. 🔹 Cash and Cash Equivalents: $100.5 million as of June 30, 2024. Learn more in this research note by Dr. Bob Sutor from The Futurum Group at the link below 💡 #TheFuturumGroup
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Jorge Myszne
Thanks to Ian Krietzberg for shedding light on the data exposure risks inherent in generative AI services. As AI weaves throughout our daily lives and business operations, it will ingest huge sets of sensitive data. We need to invest in privacy enhancing technology to protect that data now. Ian does a great job explaining the challenges and massive rewards of using FHE for AI in straightforward terms. If you’re not already a Deep View reader, it’s time to subscribe. #DataSecurity #AI #Cybersecurity #DataProtection #MachineLearning #technology #innovation #ZeroTrust
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Ashis Khan
Making decisions? In today's world, they must be data-driven, right? But with such an overwhelming amount of data, it’s natural to turn to AI. But can AI also handle ethical considerations? Is there an "AI Conscience"? Fortunately, Brian Green is joining us at the IIT Bay Area Leadership Conference on 10/19/2024 to address this important topic: "Ethical Decision Making in the Age of Data and AI." Brian is the Director of Technology Ethics at the Markkula Center for Applied Ethics at Santa Clara University (and if you are reading this on your iPhone, yes - the center is indeed named after Armas Clifford "Mike" Markkula Jr., the third co-founder, original angel investor, first chairman, and second CEO for Apple who was introduced to the two Steves by two Gods of Silicon Valley: Don Valentine and Regis McKenna.) Brian teaches AI ethics and has authored/co-authored several books, including Space Ethics (2021) and Ethics in the Age of Disruptive Technologies: An Operational Roadmap (The ITEC Handbook) (2023). I hope I have given you enough data to make a decision to attend the conference!
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Munjal Shah
Polaris 2.0 from Hippocratic AI is here. Safer than ever. 3T+ parameter constellation architecture with voice latency equal to Polaris 1.0 at 1T+ parameters. Read a summary of the changes from our chief scientist Subhabrata (Subho) Mukherjee's blog: https://lnkd.in/gXweaWe5
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Polina Alber
Mitigating AI risks is paramount to ensuring the safety, security, and fairness of advanced technologies. As AI systems become more integrated into critical sectors like healthcare, finance, and security, addressing potential risks such as hallucinations, bias, misuse, unforeseen consequences, and data poisoning must be a top priority. The article "Medical large language models are vulnerable to data-poisoning attacks" published in Nature Medicine highlights the significant risks posed by data poisoning in the context of medical AI, showing that even a small amount of deliberately planted misinformation in training data can lead to harmful outputs from large language models. Implementing robust risk mitigation strategies, including ethical guidelines, transparent algorithms, continuous monitoring, and defenses against data poisoning, helps protect individuals' rights and fosters public trust in AI innovations. Prioritizing AI risk mitigation not only safeguards against harmful impacts but also promotes the responsible development and deployment of AI, ultimately benefiting society as a whole.
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Yefim Natis
"Only The Adaptive Survive" In 1988, Andy Grove, co-founder and CEO of Intel, looking back on the PC disruption era, wrote a book titled "Only the Paranoid Survive". Today, being always alert is not enough. You must also be ready, happy, and eager to act and change. In 2020's business, only the #adaptive survive. https://lnkd.in/e9TyQjaZ In this public webinar, learn about the business cloud platforms (#BCP), emerging from industry cloud platforms (#ICP) and transforming the traditional enterprise application markets. Business Cloud Platform (BCP) is a blend of application, platform and services products and capabilities into an #orchestrated platform. BCP’s defining purpose is the comprehensive enablement of adaptive and dynamic business operations. It can take the scale of a cross-industry #ecosystem or shape the application #modernization strategy for a single #enterprise. A detailed research paper is coming next week.
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Gene Chuang
Terence Tao on LLM There is too much hype, hucksters and dumb money poured into GenAI and LLM now. It’s refreshing to hear from expert voice for once. Terence Tao is a UCLA math professor, Fields Medal winner and is considered the world’s greatest living mathematician. I overlapped a year with him at UCLA in 1996 and I met him when he was TA for a Linear Algebra course I took my senior year. Terence recently gave his honest feedback on GPT-o1 here https://lnkd.in/gq_6bcwM, and was subsequently interviewed by The Atlantic https://lnkd.in/gv6fgqrB I will summarize this interview: 1. OpenAI o1 is a mediocre or incompetent research assistant. 2. It does not “reason”, is not a source of knowledge or ideas, but is a really useful glue. 3. We will always need humans and AI. They have complementary strengths. AI is very good at converting billions of pieces of data into one good answer. Humans are good at taking 10 observations and making really inspired guesses. I cannot agree more with the “Mozart of Math”. Especially on point number #2. LLM is very good at doing relational joins of non-relational unstructured data. Once you realize its true strength and what it isn't, LLM can be a very powerful tool. To read more of my ponderings on "AI" and other tech stuff, subscribe to my substack: https://lnkd.in/gtknApfw
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Jay Emery
Great article on how San Francisco is leaning in and leveraging its vast wealth of innovative thinkers, tech intensity, and vast learning and funding resources. San Francisco Chamber of Commerce is doing an amazing job embracing the next wave! Rodney Fong Anita LW Huang Katy Brown #Microsoft #AzureAI #Startups #AI
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Robin Jenkin
Explore our latest generative virtual screening NIM Agent Blueprint, featuring three powerful #AI #NIM microservices: AlphaFold2, Diffdock, and MolMIM. Dive into advanced #drugdiscovery with tools that predict protein structures, molecular interactions, and optimize molecule properties. #NIM #healthcare
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Randy Wilkins
Introducing Our Open Mixed Reality Ecosystem Takeaways We’re opening up the operating system that powers our Meta Quest devices to third-party hardware makers. We’re working with leading technology companies to create a new ecosystem of mixed reality devices, and we’re making it even easier for developers to build mixed reality apps that reach a wide audience. This more open ecosystem will help bring the power of mixed reality to more people and businesses around the world. Today, we’re taking a major step toward our vision for a more open computing platform for the metaverse. We’re opening up the operating system that powers our Meta Quest devices to third-party hardware makers, giving developers a larger ecosystem to build for and ultimately creating more choice for consumers. This platform is the product of a decade of investment into the underlying technologies that enable mixed reality, and opening it up means a lot more people will benefit from that investment. We’re working with leading global technology companies to create a new ecosystem of mixed reality devices, and we’re making it even easier for developers to build mixed reality apps. We believe a more open ecosystem is the best way to bring the power of mixed reality to as many people as possible. With more devices, this new ecosystem will offer more choice to consumers and businesses around the world. Developers will have a much larger range of hardware that can run their apps, and more device makers will expand their market to a wider range of users, much like we’ve seen with PCs and smartphones.
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Nabil Laoudji
Grateful to William Sun and MIT Club of Northern California for organizing an insightful Gene Therapy Conference. Being new to this field, here are some things I learned: 🔬 Delivery of gene therapy treatments is a big challenge – ensuring that they reach the right cells, at the right dose, without causing harm, remains a big hurdle. 💡 The up-front cost of gene therapy can be high (e.g., $3M+), however when weighed against a lifetime of treatments using other expensive drugs it can actually be more economical. ⏳ After receiving a gene therapy treatment, it’s difficult to undergo another. Patients face the tough choice of opting for a moderately effective treatment now or holding off for a potentially better one in the future. 🔍 Advances in DNA testing and treatments could lead to removing and repairing stem cells before a disease even presents itself. 🎯 The sweet spot for gene therapy products lies in targeting niche diseases that also offer broader health benefits to larger populations. 🤝 More transparency around FDA submissions, protocols, and research would streamline progress across the entire ecosystem and be a win for all players + humanity. Special thanks to the panelists for their stories and insights, specifically: Trevor Martin (CEO, Mammoth Biosciences), Amy Pooler (VP and Head of Research, Sangamo Therapeutics, Inc.), and Agnieszka Czechowicz, MD, PhD (Physician Scientist, Stanford University School of Medicine). 🙏🙌
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Benjamin Lin
Last year, I lived in SF and flew to LA weekly to attend MBA classes at UCLA. I flew back and forth at least 20 times. I am not a morning person by any means, but this required me to have a routine of waking up at 5:00AM on Sunday, Ubering to SFO to catch the earliest flight that would get me to LA before my classes started at 8:00. I would attend class all day Sunday, work remotely Mondays, attend more classes Monday night and then fly back Tuesday morning just in time to get to the office before standup. I am proud to say that I did not miss a single flight or a single class during this period. Last month, I officially graduated from UCLA Anderson. I wore my graduation cap and gown and lived through an event I had been dreaming about for the past 3 years. Now the big question: was it worth all the flights, tuition costs, and time spent studying? Yes, it was absolutely worth it. And here’s a story that encapsulates why. On one my MBA trips, we had a few executives from the Executive MBA program join us on the trip. One of the executives had immigrated to the US over 20 years ago and was nearly a billionaire. He snuck a few of us Chinese speaking MBA students out for a dinner and afterwards we all grabbed beers by the beach. Towards the end of the dinner he told us that we were no different than him. He pointed at each one of us and told us that we could all become successful too as long we just went for it. I’ve heard similar words from guest speakers, but the informal setting of having a mentor tell us this to our faces while enjoying beers near the beach in a foreign country really made me believe that I could do it. To sum up my MBA experience, being able to learn valuable life lessons from classmates, professors, and guest speakers made me confident that I could pursue whatever I put my mind towards. This is the true value of the MBA in my opinion. So what’s next? Before entering UCLA, my goal was to start my own startup and be a "real" founder. I can proudly say that my dream is starting to become a reality. I will be posting more news about this in the future, but my cofounders and I just raised an angel round and are now working full time on a new startup with a mission that we all care deeply about. #mba #uclaanderson #startup #graduation
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Dinesh Nair
Had the pleasure of attending the GenAI Summit in Santa Clara this past weekend. A lot of great presentations, panels and pitches. Very exciting to see this world come to life with a lot of smart people working on bleeding edge technology that will shape the future of GenAI. We are at the cusp of the next revolution in technology and we are starting to see how it is changing the way we use software to solve problems. A few key takeaways - • The first generation of GenAI has primarily been used as a tool helping the human handler to perform tasks more efficiently. We are now moving towards a more autonomous, agentic architecture with multiple agents collaborating with each other and completing tasks with little or no human intervention • RAG s - Vector DBs and Knowledge graphs are being used effectively in a hybrid approach to enhance the responses from LLMs and provide more context • Security - Great presentation by Raluca Ada Popa about the need for robust security in the context of AI workflows using hardware/on-chip encryption. Her company Opaque Systems is offering encryption in the cloud as a service. Startups - • In the GenAI space, VCs are looking for smaller teams with good revenue potential in an untapped market. • Selling this new technology to potential customers is key - so having a strong GTM strategy and sales team is critical. • Privacy is a huge concern for customers since a successful GenAI implementation will rely on historic data. Mitigating this will become a key differentiator. Just a few things that stood out - but there was a lot of information and learnt a lot! Excited for the future in this space!
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Ashok Maharaj Ph.D
Emerging technologies don’t simply materialize fully formed; they require the establishment of supply chains, the development of manufacturing processes, and the evolution of the technology itself. Along this journey, the cost incurred includes learning from the ten unsuccessful paths before arriving at the eleventh one that proves effective…a perceptive read if you are working in the Spatial Computing space
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