David Wiener

AI, Longevity and Love - how are they all connected? They make each other better and are essential to each other’s success Lots of fantastic discussions about how AI will bring out the best in humans including augmenting our time and ability to connect at DOC in Napa and Wisdom 2.0 in SF this past week. Huge thanks to Jordan Shlain, MD, Kevin Ryan and John Battelle for organizing leaders across traditional medicine, longevity, academic research, and biotech and Soren Gordhamer and Mark Hyman, MD for bringing together the best of AI and longevity AI shows incredible promise for healing humans and increasing longevity, here are my key takeaways from these events: We can live to 95 today if we focus on longevity and healthspan, there are biotech solutions using AI to epigenetically reprogram cells to reverse aging and disease that will enable us to extend lifespan by 20+ years but it will take for these to be real Fun to see Mark Hyman, MD interview Eric Verdin, they both discussed how they lowered their biological age by 10+ years and feel the best ever There are so many simple things we can do, walking 30 minutes a day reduces cardiovascular, alzheimer’s and cancer risk by 40% but 80% of the US doesn’t even do this Within 5 years we will have a whole new set of FDA approved psychedelic drugs for depression, anxiety, PTSD, etc. Immunotherapies will also expand so we can avoid chemo and living cancer free will be in reach We need the US to move to a functional medicine, integrative care model and get out of this sick care model, this level of innovation is more likely to come from upstarts, the incumbents have too much revenues to lose in this transition AI will not replace physicians, instead those physicians that don’t use AI will be replaced. 50% of physicians are burned out, AI can help! Fantastic connecting with so many brilliant minds, including Mark Hyman, MD, Eric Verdin Neal Khosla Laura Esserman Abby Levy Sheila Lirio Marcelo Leonard Zon Arjun Desai David Eagleman Lois Quam Vinod Khosla Emi Gal and many others #healthcare #longevity #ai

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https://lnkd.in/ecuZDqKz. https://lnkd.in/ecuZDqKz Liquid AI Introduces New Class of Foundational Models, Advancing AI Performance and Efficiency Boston, September 30, 2024—Liquid AI, a pioneer in artificial intelligence innovation, is set to redefine the AI landscape with the launch of its Liquid Foundational Models (LFMs). These models bring unprecedented levels of performance and efficiency to generative AI, offering powerful solutions for industries looking to harness artificial intelligence more effectively on device or on server. A technical whitepaper about model performance will be available on September 30, 2024, at 11 am EST. Key Highlights: ● LFMs Introduce a New Scaling Law for Generative AI: Markedly improving quality, cost-effectiveness, and power efficiency compared to current GPT models. ● Innovative Architecture: Leveraging dynamical systems and advanced mathematics, LFMs achieve superior performance with fewer parameters. ● Initial Model Release: The lineup includes models with 1B, 3B, and 40B parameters, each setting new benchmarks in their respective categories. ○ LFM-1B: A 1.3-billion-parameter model achieving the highest scores across benchmarks in its class. ○ LFM-3B: A 3.1-billion-parameter model that outperforms many 7B and 13B models, making it ideal for edge deployment and resource-constrained environments. ○ LFM-40B: A 40.3-billion-parameter Mixture of Experts (MoE) model designed for complex tasks, offering performance comparable to much larger models while remaining cost-effective. Real-World Applications: • Enterprise: LFMs enable the design of more powerful AI assistants and analytics tools that can run efficiently on existing infrastructure, reducing operational costs. • On-Device: LFMs prioritize privacy, low latency, security and offline accessibility, making them suitable for mobile and edge deployments. These models have demonstrated impressive results on standard LLM evaluation benchmarks. Additionally, LFMs maintain near-constant inference time and memory complexity, allowing for longer input sequences without significant increases in computational resources. Advancements in AI Architecture: LFMs introduce a new design space for foundational models by employing adaptive linear operators rooted in dynamical systems and signal processing. This approach unifies and extends existing computational methods in deep learning, providing a systematic way to explore architectural possibilities. The models are highly adaptable, optimized for various hardware platforms including NVIDIA, AMD, Qualcomm, Cerebras, and Apple devices.

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"Our goal is to create operating leverage through AI. ... One of the ways I look at it is, our total people costs will go down, our cost per head will go up, and my GPU per researcher will go up." — Satya Nadella. I finished listening to the BG2 podcast with the Microsoft CEO last night. Extremely interesting conversation with Brad Gerstner and Bill Gurley, and a lot to chew on. I found myself skipping back repeatedly to listen to certain parts again, to make sure I understood exactly what Satya was saying. One example was the quote above, in the context of the long-term implications of AI for the workforce, specifically at Microsoft in this case. I'd be very interested in hearing what everyone thinks of this. Here's that specific portion of the show: https://lnkd.in/gcPjHpeg Here's the full podcast: https://lnkd.in/gHAquZpD

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🤯 Imagine the CEO of the world’s hottest company says the next trillion-dollar opportunity is something your startup has already been delivering results with for over a year in stealth! #JensenHuang and #MarkBenioff have the world buzzing about #AIAgents. 🐝  But at #CalvinBallTech, we've been quietly delivering game-changing results with them for over a year!  🤫 Don't get caught up in the hype 🙅‍♂️ Stay tuned. CalvinBall Tech is about to come out of stealth, and we're bringing proven AI Agents that have already solved critical problems for real businesses. 💪 Here’s a quick couple of questions for anyone showing you fancy roadmaps and dazzling demos: Do they have proven results already? Can they start delivering tomorrow? Gurnoor Dhillon Ratu Nadiah KhairunnisaSahal ZainEva ZuliyaFaris -Yoga Wigardo Dharnesh GordhonAntoine de CarbonnelFrançois Walewski #AICanSolveThat #AISuperAgents #AIRevolution #FutureOfWork #EnterpriseAI #CalvinBallTech #StartupJourney  #CalvinballerCode

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How should OpenAI price Strawberry or o1 as it is now known. Flash poll results. Total of 74 responses from Friday Sept. 13. Interested in how generative AI applications are being monetized? Join Kyle Poyar from OpenView and Growth Unhinged, Michael Mansard from Zuora and Steven Forth from Ibbaka for an engaging roundtable on Sept. 19. Please register here. https://lnkd.in/gZNZqS6u My own thoughts is that this depends on strategic intent. Strawberry is a very different application than vanilla ChatGPT and it will provide value in new ways. It should not be tied to ChatGPT pricing. I would position it as a separate offer. However, part of the intent of Strawberry seems to be to provide training data for future reasoning models. In that case the more people that use o1 the better and pricing should be neutral. #Strawberry #Openai #generativeAI #genAI #pricing #monetization #o1

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Sweetndata, a South Korean AI-based fandom content startup, secured CNTTech funding to enhance AI fan cards, advance global expansion, and broaden its platform to diverse markets.

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TRUST TAKES YEARS TO BUILD SECONDS TO BREAK, & FOREVER TO REPAIR One of the biggest risks posed by Gen AI is a further & irreversible erosion of trust. How can technology help counter this risk?

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Building on the momentum from Google I/O, we're announcing important updates to the Gemini API and Google AI Studio, including: ✅ Gemini 1.5 Flash and 1.5 Pro stable release and billing ✅ Higher rate limits on Gemini 1.5 Flash ✅ Gemini 1.5 Flash tuning ✅ JSON schema mode ✅ Mobile support and light mode in Google AI Studio 🚀 We’re incredibly excited to see what you build with these new models and are committed to building towards a world class developer experience. You can get started with Gemini 1.5 Flash and 1.5 Pro free of charge in Google AI Studio. #BuildwithGemini Google Cloud

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🔍 Just read an analysis by Nobel laureate Daron Acemoglu on AI's economic impact. His research offers a counterpoint to the AI hype cycle: Instead of the revolutionary economic transformation many predict, Acemoglu estimates AI will deliver a modest 1.1-1.6% GDP increase over the next decade (Though it doesn't take into account the clashing waves of AI, quantum computing, and synthetic biology, which Mustafa Suleyman greatly captured in his book "The Coming Wave" - developments that may significantly amplify this impact) . Why? Because AI's current trajectory focuses heavily on worker replacement rather than augmentation. 𝗧𝗵𝗿𝗲𝗲 𝗸𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘀𝘁𝗮𝗻𝗱 𝗼𝘂𝘁: 1. We're overemphasizing "so-so technology" - solutions that merely replace workers without significant productivity gains - instead of developing tools that enhance human capabilities. 2. Market forces alone won't guarantee broad economic benefits from AI. Historical parallels from the Industrial Revolution suggest intentional policy choices and worker advocacy were crucial for widespread prosperity. 3. Slower, more deliberate AI adoption might actually lead to better long-term outcomes by allowing time to address potential harms and optimize implementation. 𝗙𝗼𝗿 𝗔𝗜 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝗽𝗼𝗹𝗶𝗰𝘆𝗺𝗮𝗸𝗲𝗿𝘀, 𝘁𝗵𝗶𝘀 𝘀𝘂𝗴𝗴𝗲𝘀𝘁𝘀 𝘀𝗲𝘃𝗲𝗿𝗮𝗹 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀: 1. Redirect R&D toward human-AI complementarity rather than replacement  2. Develop metrics that measure genuine productivity gains, not just cost savings  3. Create frameworks for responsible AI deployment that consider societal impacts  4. Invest in workforce upskilling alongside AI development The goal isn't to slow innovation, but to ensure AI truly advances human capability rather than just replacing it. What steps is your organization taking to develop AI that augments rather than automates? PS: Turkish Hub is organizing a talk with Daron Acemoglu on the Global Economic Implications of Artificial Intelligence. RSVP now: https://lu.ma/op8h8vc7 Date: Wednesday, January 22, 2025 Time: 5:00 PM - 7:30 PM Location: CIC Cambridge, 1 Broadway, Cambridge, MA 02142 (Venture Café, 5th Floor) #AI #Innovation #Economics #FutureOfWork #Leadership #aiproduct https://lnkd.in/eC6-Aun9 🔁 Share this with others who'd like to learn more about AI impact 🔔 I post about AI product startegy and leadership tips. Follow me, Derya Isler, for more insights on AI in 2025.

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The Big Apple is becoming the Big AI-pple!   📍 New York City is rapidly solidifying its position as a global hub for #AI innovation, and the enormous growth the city has seen in neutral #IXs can support this development.   Neutral IXs are transforming the city's digital landscape by providing the high-performance, #lowlatency connectivity that's essential for AI-driven businesses. With New York now boasting the second-highest concentration of AI companies in the US, the city is poised for unprecedented economic growth. Thanks to Data Center Knowledge for publishing my thoughts on this vital topic! 💡   As we move forward, how do you see the role of neutral IXs evolving in other major cities? And what impact could this have on the global AI economy?   https://lnkd.in/e5_SZp_4

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Bluesky’s recent AI controversy highlights a growing problem: public data being used without consent to train generative models. In my latest post, I explore the ethics of AI, the open web, and the fight for user control. https://lnkd.in/edgKKfse

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Introducing Morfless, one of Antler's up-and-coming startup investments using AI to cut cloud costs. As cloud adoption continues to accelerate, so does the complexity and cost associated with managing cloud infrastructure. Morfless was founded by Ian Corbally and Domagoj Filipovic to address this issue head-on. The duo realised the pressing need for a platform that could automate the tedious tasks involved in managing cloud spend, thereby improving operational efficiency and reducing costs. Over the past 12 months, the startup has made significant strides, successfully developing and launching its AI-powered platform, gaining traction among a wide range of Australian and New Zealand sectors – from the largest national media websites to marketing agencies and software companies. Read more in Startup Daily here: https://lnkd.in/gHFjU_SM

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NVIDIA tops the Axios Harris Poll 100, which ranks company reputations. FYI, this poll is done using this three-step process: 1. January 2024 Survey: 6,273 Americans identified the 100 most visible companies. 2. March 2024 Survey: 16,500 Americans rated these companies on nine reputation dimensions, creating a Reputational Quotient (RQ®) score. 3. May 2024 Surveys: Two waves of surveys provided additional context on brands and politics.

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Was chatting with another investor today on a call, and mentioned Tim Urban's Wait But Why Blog post, "The AI Revolution" and how prescient it was. Given that it was written in 2015, decided to flex AI's latest muscles to give it a new venue: a podcast. Podcast here: https://lnkd.in/gW8Dh89U Pretty easy to do: Step 1: Save the posts as PDFs. Step 2: Upload to NotebookLM, have it create a podcast. Step 3: Upload to Descript, give it captions. Step 4: Export, publish to Youtube. Total time to create the podcast: ~25 minutes. To generate this podcast and publish it even a few years ago would have taken >8 hours. Love the future (Original posts: https://lnkd.in/gW-PQXE7, https://lnkd.in/gg-nRvxz) #AIRevolution #GenerativeAI #WaitButWhy #TimUrban #NotebookLM #AIContentCreation #Podcasting #Descript #ArtificialIntelligence #ContentFlex #ProductivityHacks #FutureOfAI #AIinMinutes #TechEfficiency #AIandCreativity #YouTubePodcast #InnovationInContent #vibecap #vibecapital

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The pace of AI innovation is hard to fathom and there are a ton of companies out there making false claims about their capabilities. So much noise! This piece by Mickey Alon, Vidmob's CPTO, offers some good insight and questions a marketer can ask around Integration, Scalability, Data Security, Cost & Latency to ensure that the partner you are choosing is legit and right for your business. The cost of getting this decision wrong can be massive so take the time to do your research. #CreativeData #AI

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🚀 The “Last Mile” of AI: A Game-Changer 🚀 Let me break it down… We’ve all heard about Amazon’s “last mile” challenges. Despite having cutting-edge logistics, it’s that final stretch that poses a major hurdle. In generative AI, I call this last mile the custom UX. It’s what turns complex AI into user-friendly tools. 🌟 Runway is a great example of nailing this last mile. They’ve built a UX that helps users create exactly what they envision, without needing to be prompt engineering experts. 🎥 As generative video evolves, directing becomes a crucial last mile challenge. Think about it: How many of us can expertly prompt a “dolly push pan to slow zoom”? (Is that even a thing? 🤔) This is where last mile UX shines. TikTok mastered it, Instagram gave us filters. The goal? Democratize quality through intuitive interfaces. 💡 Want to glimpse the future? Talk to a great UX designer! 📢 Also shout out - if you want to understand the future in a manner that both entertains and informs, follow Gavin Purcell and AI For Humans. I always look forward to these.

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We are still in the early phase of enterprise generative AI and the signs are encouraging for companies to allocate more budget for pilot projects and production. The timing follows annual budget cycles. Of the CIOs surveyed by Morgan Stanley at the end of 1Q24: - 8% already having #AI projects in production - 38% will put projects into production in 2024 (most in 2H24) - 42% expect to be in production in 2025 and beyond. Customer support, various #marketing tasks, and software #programming assistance appear to be the dominant use cases across industries. Most enterprises are using available large language models (#LLM) without modification, and are working to overcome shortcomings like response accuracy, hallucinations, #data privacy, and cost. #generativeai #chatbot

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