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COMPUTING
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Gaben’s Impact: From Gaming to Deep Sea and VR Innovation
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Gaben is one of the most lowkey rich guys for how impactful he is. Changed games forever. Launched the first app store. Made one of the first consumer VR headsets. Working on BCIs. Owns a deep sea exploration company. Now a yacht manufacturer.
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Hunyuan Releases Compact AI Models for Edge Computing
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New small models from Hunyuan (0.5B, 1.8B, 4B, 7B) 0.5B, 1.8B and 4B are great for running on the edge.
And considering how incredibly small they are, they deliver outstanding benchmark results. The future of AI is on the edge. -
Axelera AI Sponsors DVClub Eindhoven 2025 Heterogeneous Systems
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Axelera AI is sponsoring DVClub Eindhoven 2025, diving into the design & verification of heterogeneous systems: chiplets, AI accelerators, RISC-V & more. Join in on 23 Sept @hightechcampus or online. Free to join: https://
eu1.hubs.ly/H0m82Qj0 #EdgeAI #DVClub #RISCV #Chiplets -
Optimizing Large Language Models: Memory and Bandwidth Solutions
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My @MLSysConf keynote is now online. https://
mlsys.org/virtual/2025/i
nvited-talk/2887
… The scaling of large language models has led to impressive gains in language understanding, but at a cost of insatiable memory and bandwidth requirements. I advocated a principled approach of designing optimization -
Computers: Few Loops Over Trillions of Transistors
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A computer? a few for loops over zillion transistors
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Distributed Unique Primary Keys Architecture Design
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They wrote about how that works here https://
code.flickr.net/2010/02/08/tic
ket-servers-distributed-unique-primary-keys-on-the-cheap/
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Distributed ID Generation: Database Strategy and Flickr Technique
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Leave it to the database, they're really good at that You can also use the Flickr trick if you need it – have multiple ID issuing databases, for example one serving even numbered IDs and one serving odd numbered IDs – then they can create new IDs independently of each other
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AI Market Crash Economic Impact Analysis
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A reasonable take on what a crash in the AI market would actually mean for the wider economy, as CapEx for data centers continues to grow. (To be clear, there are no particular warning signs that this is a danger right now, but downside cases are always important to consider).
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GraphQL N+1 Query Problems: Backend Performance Challenges
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It's a recipe for N+1 query problems – implementing a performant GraphQL backend is actually really hard, especially when the frontend team can arbitrarily change the query patterns any time they want to