Standard dense Transformers waste massive memory bandwidth firing 100% of their FFN neurons on every token—yet still fail when variables or states are overwritten across context.
We transplanted SmolLM2-1.7B directly into Q1 Arch (a dual-stream state & sparse FFN architecture).
Hardware impact:
• -56.2% active FFN bandwidth read per token (1,208M -> 528.5M)
• -50.0% KV-cache RAM at 32k context (6,144 MB -> 3,075 MB)
Christopher William retweeted
Thread:
1/ Imagine a world where your personal AI knows you better than you know yourself. 🧠 It understands your preferences, predicts your needs, and helps you make the best decisions for your life. This isn't science fiction, it's the potential future of personalized AI.
Christopher William retweeted
The true AI threat isn't job loss. Major players (OpenAI/Microsoft, Meta, Google, Apple) train AI on our data to influence and advertise to us. AI is the next step, a new 'news feed' controlled by profit-driven companies.
Christopher William retweeted
Over a 70 year span
You will spend 13.42 years on your phone
Some of you much more than that
And we thought smoking was bad
The big AI companies are leveraging the genuine fear of their own products to build regulatory walls, maintain absolute private control over their capital, and freeze the board so no new players can enter.
Christopher William retweeted
Does AI not only pose a risk to jobs, but also to SaaS suites? Will it disrupt SaaS?
Christopher William retweeted
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