Image created with gemini-2.5-flash-image with claude-sonnet-4-5-20250929. Image prompt: A towering neoclassical stone pillar crowned with a bronze Amazon smile-arrow logo supporting scales of justice, emerging from London fog with ivy-covered walls, server rack vents visible at the base, dramatic light beam illuminating the scales from stormy clouds above, cinematic photograph with regal judicial atmosphere.
I rode in a Zoox (self-driving Amazon car) today! Overall an amazing experience; another rare time where the present truly looks, feels, and sounds like the future Waymo set a *very* high standard for me to compare to but I feel like Zoox was able to achieve a similar level of https://x.com/nearcyan/status/1968120797022785688
Amazon unveils new agentic AI-powered Seller Assistant to help independent sellers grow https://www.aboutamazon.com/news/innovation-at-amazon/seller-assistant-agentic-ai
AWS released an open-source framework that lets you orchestrate multiple AI agents and handle complex conversations.
https://x.com/LiorOnAI/status/1964403536067743764
Public Sector Symposium Ottawa – Amazon Web Services (AWS) https://pages.awscloud.com/ottawa-symposium-2025.html?trk=bbb2bc57-27ae-4ee2-b197-f881c8a66c0b&sc_channel=psm
Really cool to see that Anthropic also uses JAX for inference on Google TPU. I’m curious whether they also use JAX for inference on GPU’s (Azure/AWS) or if they developed a separate codebase for it.”” / X https://x.com/borisdayma/status/1968697704361468354
Serving a model at scale is hard. Serving it across three hardware platforms (AWS Trainium, NVIDIA GPUs, Google TPUs) while maintaining strict equivalence is a whole other level. Makes you wonder if the hardware flexibility is truly worth the hit to development speed and https://x.com/_philschmid/status/1968586407548518565
