Clem Delangue: AI risk fears used to distract from current challenges

DOCA AI agent skills are now available on GitHub, packaging verified API signatures, hardware capability requirements, and build constraints into SKILL.md files. Skills span the DOCA library including Flow, GPUNetIO, and PCC.

AWS machine learning blog walks through using contextual bandits on AWS to lift conversion across the acquisition funnel, pairing them with generative AI personalization on Amazon Bedrock. The post follows an earlier one on producing personalized content at scale within brand guidelines and guardrails.

Canvas lets merchants build and customize Shopify stores by chatting with the Sidekick AI agent, which renders the store's real code in real time rather than a static preview. Sidekick can now work directly with theme files, and takes screenshots to see the same view as the merchant.

The New Stack column by John Sapp argues enterprises now face AI's "harsh reality" before finishing the hype phase, framing shadow AI as a governance and roadmap problem for CISOs.

AWS post walks through building event-driven "ambient agents" on Amazon Bedrock AgentCore, from storage and alert signals to human-in-the-loop review. Aimed at teams doing document triage at scale.

Arvind Narayanan's Normal Tech essay rejects both the "x-risk is imminent" and "it's a psyop" narratives, proposing a third: warnings are sincere but unsound and counterproductive to AI safety. It cites a 2019 WHO/World Bank report warning a respiratory pathogen could kill 50-80 million people, with adequate preparedness costing $1-2 per person per year.