Christopher Jaynes

Q - What is different about a vector database? - Jeff Frick  A - Large Language Models, they need to know the proximity of information. - Chet Kapoor So Jeff's been in the Bay Area for 30 years. Chet's been in the Bay Area for 30 years. So you encode my information, your information into a number, actually put them together. So when we search for the area, we get proximity of Jeff and Chet being in the Bay Area together. So vectors are a great way for things to relate to each other. - Chet Kapoor -------------- Congrats to Chet Kapoor and team DataStax as they close their merger into IBM It's all about data, and quickly and easily and economically pulling value. Full length conversation  Chet Kapoor: GenAI, My Agent, Human-like, Reinvention | Work 20XX podcast with Jeff Frick  - YouTube - https://lnkd.in/g3tix6x5  - Spotify - https://lnkd.in/g3QQTbfx  - Apple Podcast - https://lnkd.in/gf4446hs  - Substack -   - Transcript and Show notes - https://lnkd.in/gkfVB63d  - or wherever you podcast #ChatGPT #VectorDatabase #AI #GenAI #DataStax #IBM #Acquisition #LLM #ProximitySearch #AIInfrastructure #BigData #AIApplications #Watson #MandA #Merger #MachineLearning #Workplace IBM DataStax Menlo Creek Media #Interview #Podcast #Work20XX

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Recent developments in new glasses-like form factors for XR headsets have got me ruminating on a long-standing immersive learning challenge: 𝐅𝐑𝐈𝐂𝐓𝐈𝐎𝐍 Will converging trends such as: 🤓 Lighter, less intrusive XR headsets, 🤖 Context aware AI, and 🔌Always-on XR 𝘧𝘪𝘯𝘢𝘭𝘭𝘺 signal the solution? I'm going to be exploring this in a series of posts over the next few weeks, so stay tuned! #LearningTechnology #XR #EdTech #WorkplaceLearning

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A neat perspective by my economist brother about the need for a new approach for publishing across interdisciplinary boundaries. Certainly a pain point for many emerging computing fields like neuromorphic where publishing in your department's familiar venues may conflict with reaching the broader community https://rdcu.be/ewD2D

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Cesium Map in Map Viewer for Ham Radio QSO and Grey-Line Visualization Here's another example of what generative AI and LLMs really do for engineers: provide the ability to attempt more ambitious projects. I got the ham radio back on the air for the first time since June. I made several contacts (QSOs) so when I got home I sat down to review my QSO map, but found myself zooming in and out to see where the sun was when I made each QSO and where the receiving station was located. It occurred to me that a macro view of the map along with the zoomed of the sun over my station's location would make all of this much easier, so I asked OpenAI GPT5 to write up the code. Half an hour later, I had the map view you can see in the video below! There's a link to a blog page where you can try out the new map view in the comment below. #GenAI #LLM #AI #HamRadio #GIS

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Smarter robots need to see, feel, and move like us. Dive into how NVIDIA Isaac Lab, an open source GPU-native simulation framework from NVIDIA Research, unifies physics, rendering, sensing, and parallel computing in a single stack to scale multimodal robot learning.

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Here, a perfect example of how nature uses Reflexes to get to perfect stabilization. If you try to get this done with computers using interupts , sometime, your stabilization would have a glitch, because interruption is the best way to do not finish what you were doing. In modern computers, we want to enable reflexes, and no more interupts. Predicting how deep the interupts are is a safety concern for most computing in need of safe behavior.

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Proud of Modulate's ML team for their work to make available a unique speech dataset for #ICML2025 researchers. Building a deeper societal understanding of the ins and outs of voice and emotion (not just transcriptions!) is critical in an age where "conversational intelligence" is such a hot topic. We hope this dataset helps spark new ideas and innovations that help raise the waterline for the industry as a whole.

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I’ve been thinking a lot about screens lately. Not resolution or specs, and not the usual portrait versus landscape debates, but something more fundamental. We’ve spent decades designing displays as rectangles because that’s what paper, cameras, and early computing handed us. Over time, that shape stopped feeling like a constraint and started feeling neutral. But when you spend your days around kiosks, POS systems, and purpose-built devices in the real world, you start to notice where that assumption breaks down. A few things pushed this into focus for me. Netflix experimenting with vertical content. Curved casino displays that feel oddly optimized for long engagement. Immersive venues like Cosm that rethink how attention works in a space. And the quiet reality that most of our software stacks and SDKs still assume every pixel deserves equal importance. That curiosity turned into a longer Substack post I just published: “We Don’t See in Portrait or Landscape.” It’s an exploration of human vision, attention, display technology, and what it might mean to design future kiosks and customer-facing devices around how people actually perceive and interact, not just around inherited screen shapes. It also digs into what that shift implies for software development, SDKs, and device management once displays stop behaving like flat documents. If you work on digital experiences that live outside a laptop or phone, especially in retail, hospitality, or dedicated device environments, this might resonate. https://lnkd.in/gPwqwXxt

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The bandwidth requirements of studio-scale creativity are rapidly outpacing traditional connectivity. As 8K+ resolutions and AI-driven processes intensify, the move to Thunderbolt 5 represents a significant shift for centralized SAN and NAS environments. The doubled throughput offers a path toward real-time collaborative editing and faster data ingest that was previously more constrained. Integrating Thunderbolt 5-equipped desktops and portable workstations into existing Fibre Channel or Ethernet networks—via ATTO ThunderLink adapters—allows for a more unified approach to high-performance compute. What this looks like in practice: · Avid, Adobe, and Autodesk workflows gain lower-latency access to enterprise-grade storage. · Portable workstations achieve performance parity with traditional desktop systems in hybrid environments. · High-speed data movement scales alongside rising file sizes and metadata demands. This level of connectivity is quickly becoming the standard for maintaining efficient, high-reliability studio infrastructure. https://lnkd.in/gGdNu6hj #ITInfrastructure #StudioCompute #Thunderbolt5 #EnterpriseStorage #PostProduction #fibrechannel #ethernet #networking #mediaandentertainment

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