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AI

MoE vs Edge AI: They Are Not the Same Thing

Recently, I came across an X demo of a 35B language model running on an iPhone using only 1–2.5 GB of peak memory. That sounds strange at first.

  • MoE is a technique in AI models using multiple smaller networks
  • Active parameters are only a subset of total parameters
  • Edge Computing is about computation location, not model architecture

AI

How AI Can Predict Software Failures Before Users Notice Them

Disclaimer: The views expressed in this article are Ishan Sharma’s personal views and do not represent the views, positions, policies, product plans or practices of any current or former employer. The discussion is based on general software engineering principles and industry practices and does not disclose confidential or proprietary…

AI

I replaced my boss with AI

My boss and I made a chatbot to replace him. It got weird pretty quickly, and had a bad sense of humor.

  • Ryan Kailath replaced his human boss with AI chatbot RyanBot for editorial tasks.
  • RyanBot provided quick feedback and analysis but lacked critical thinking and creativity.
  • Ryan's human intuition and experience proved more valuable than RyanBot's capabilities.

AI

I tested my sandbox against Deno and plain Python on 63 AI-written scripts

I've been building a language where a function's signature declares which effects it may perform, and a runtime refuses anything outside a budget you grant.

  • Velaris language caught integer overflow errors in 6 out of 11 categories
  • Python and JavaScript failed to detect issues despite stricter permission models
  • Velaris fell short in scenarios with incorrect answers or dangerous command printing

AI

[Insight] Why Nvidia Is Bringing Rival AI Chips Into Its Ecosystem

U.S. AI chip startup d-Matrix said on Sept. 10 that its next-generation Raptor XPU will connect directly to Nvidia MGX rack-scale infrastructure through NVLink Fusion.

  • Nvidia integrates rival AI chips, d-Matrix's Raptor XPU, into MGX infrastructure.
  • Raptor's memory-centric architecture reduces data movement bottlenecks in AI inference.
  • Partnership enables Nvidia's GPUs and Raptor to work together on AI inference stages.
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