Makes you wonder if LLMs are the best way to model the world at all…
SYSTEMS
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Edge Computing Benefits for IoT Infrastructure
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Edge Computing Benefits >> https://
buff.ly/4bkfgQA #sponsored #influxdata_iiot #InfluxDB #EdgeComputing #IoT @grattonboy @gp_pulipaka via @fogoros -
Robots Need Onboard Perception Despite Cloud Information Sharing
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Nope! I'm saying that being able to get information from other places (think congestion info which current auto nav systems get from the cloud) or to contribute to the whole fleet when an indiv robot observes something. They still need onboard perception, control, and tasks.
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Jensen Huang and Antonio Neri keynote at HPE Discover 2026
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Get ready to be inspired as our founder & CEO Jensen Huang and @HPE President & CEO Antonio Neri come together live at Sphere in Las Vegas for the #HPEDiscover Keynote on June 18, 9am PDT. https://
nvda.ws/3V7DRT6 -
Spanner: Google’s Distributed Database System Architecture
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It was a follow-on system to BigTable. A BigTable setup typically was just in one datacenter, but we had built some replication support on top that supported weak consistency. Spanner, though was meant to be a system that spanned all our datacenters with a single storage system.
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Long-Term Memory Enhances AI NPC Conversation and Learning Capabilities
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In this short video, I demonstrate the benefits of Long-Term Memory (LTM) for our AI NPCs TLDR: 1) without LTM, they quickly forget the conversations, learned skills, and observations
2) With LTM, they remember it https://
youtube.com/watch?v=F_XxWG
4y1nY
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Perfect AI retrieval enabling personal assistants with long-term memory
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It all depends on how perfect will be the retrieval, reasoning and integration over all those tokens. Assuming it will be perfect: 1) personal assistant with long-term memory, remembering all my preferences, learned skills, chats, me using my desktop etc 2) upload the entire
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Bottom-up simulation design for AI entertainment systems
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Aha, that’s a good point. But the explanation lies in what does this quote really mean? For me, it wasn’t about simply copying the reality. The reality is not always entertaining. The point was to create a simulation (e.g. Space Engineers) where things work from bottom-up,
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Blended AI Systems: Reduced Computational Requirements for Efficient Inference
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3. Efficient Inference: Blended systems require significantly less computational power. Each response is generated by a single model, maintaining the speed and efficiency of smaller models.