Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

Cristiano Amon

AI overview

Sign in and the AI will write an overview from our coverage.

Headlines · 2

  1. Qualcomm CEO: AI firms want 100B-parameter models running on phones by 2028

    Speaking on Alex Heath's Sources podcast, recorded at Qualcomm's Snapdragon Summit 2026 in Maui and published on 8 October, CEO Cristiano Amon said some companies at the forefront of AI have told Qualcomm they need "the ability to run at least a hundred billion parameter model into a phone" by 2028, running "kind of all the time," though he would not name them. Amon said AI companies are starting to make phones, citing ByteDance's Doubao phone made by Nubia, and argued the phone holds a user's personal context, sensor data and the apps an agent must operate — with OpenClaw making the AI smartphone idea concrete. He also said memory prices have risen five to six times and the smartphone market is down 20% this year with mid-range and cheaper devices hit hardest, while discussing smart glasses, open-sourcing the Modular platform under Apache 2.0 for any chip, and 6G demos planned for the 2028 Los Angeles Olympics.

    The Next Web · 🔥 6
  2. Qualcomm CEO: AI companies ask for phones running 100B-parameter LLMs locally by 2028

    Qualcomm president and CEO Cristiano Amon said in an interview with Sources that several companies at the forefront of AI are asking Qualcomm to support smartphones that run at least a 100-billion-parameter language model locally and continuously by 2028, adding that "AI companies are starting to do phones." He did not name those companies, and Qualcomm has not published a complete hardware plan or commercial phone roadmap for reaching that goal. The report notes a 4-bit quantized 100B model would need roughly 50GB of memory for its weights alone, before room for the OS, apps and context cache, while flagship phones typically offer 12GB to 16GB and DRAM supply is tight and expensive. Possible workarounds include more aggressive quantization, MoE expert offloading or keeping weights in flash storage loaded on demand, each with quality or speed trade-offs; Amon said a more realistic near-term step is distilled 20B-to-30B models, with thermals and battery life still limiting always-on operation.

    Wccftech · 🔥 0

Experience and discussion from the community

Share my Cristiano Amon experienceAsk about Cristiano Amon

Nobody has shared their experience with Cristiano Amon yet.