AI Engineering Signal #15
Microsoft's Copilot Studio prompt injection was patched
Signals
Microsoft's Copilot Studio prompt injection was patched
but data exfiltrated anyway, exposing the gap between "vulnerability fixed" and "attack surface closed" in production agent systems.
Web
Claude Opus 4.7 spotted on Vertex and Claude Web
unreleased model appearing in production endpoints suggests imminent Anthropic rollout; watch API availability.
Web
Claude Opus 4.6 hallucination rate drops 15 points on BridgeBench in agentic context
accuracy falls from 83% to 68% when agents chain calls, a concrete reliability warning for multi-step pipelines.
1-bit Bonsai 1.7B runs in-browser via WebGPU at 290MB
edge inference threshold just moved; client-side LLMs are no longer a demo trick.
Web
OpenAI updates Agents SDK for enterprise safety
new guardrails and tool-call controls ship; worth reviewing if you're running production agent workflows.
TechCrunch
CRISPR silences Down syndrome's extra chromosome
proof-of-concept in human cells; first credible path to chromosomal correction at scale.
Web
Reproducibility failures in ML papers flagged by community
practitioners reporting systematic inability to match claimed results; benchmark trust is eroding.
The Take
Patching a prompt injection while data still walks out the door, and watching hallucination rates collapse under multi-step agent chaining — these aren't edge cases, they're the current state of production AI security. The gap between "model capability" and "system reliability" is where the real engineering work lives right now, and most teams are underestimating it.
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