AI
Real-Time AI Streaming Is a Product Trend, Not a Benchmark
AI products moved from the answer arrives to the answer flows. What streaming inference changes in capacity planning: TTFT, token throughput, concurrent streams.
AI
DHH on AI Coding: Expertise, Habits and Judgment
DHH’s account of AI coding raises a workflow question, not a universal ranking of developers. I separate requirements from implementation preferences and set out a practical review process.
data
Benchmark Best Practices, Part 1: Amdahl’s Law Caps Your Scaling Claim
Part 1 of my benchmark best practices series: how I turn a scaling claim into an implied serial fraction with Amdahl’s law, and what the Universal Scalability Law adds. Includes a measured pipeline where assigning more vCPUs per image cut global throughput.
AI
Ox Alpha Review: Test a Free AI Model Before Production
Ox Alpha is a free anonymous-provider preview on OpenRouter. I explain how I would test task quality, agent reliability, cost, privacy, and fallback readiness before production use.
ceph
Ceph CVEs: auth service entities with insecure key types
Ceph 20.2.4 and 19.2.6 patch four authentication and authorization CVEs. The remediation also needs CephX key rotation, client checks, and RGW multisite planning.
devops
AliExpress’s Silent Audio Script Hijacked a Bluetooth Headset
AliExpress Web Audio scripts left a Bluetooth audio path open. The evidence shows a broad anti-abuse fingerprinting system, but not a unique device ID.
object storage
Why File Count Matters as Much as File Size on Object Storage
Compression, object population and request count measure different things. Compare point-cloud packaging, range reads, update costs and cleanup with an explicit synthetic sizing example.
data
Which Message Broker for IoT and Real-Time Control
Choose a message broker for real-time IoT control: start from the latency budget, test ack mode and packet loss, and when to skip the broker for UDP.
AI
After Coldcard: AI Security Depends on Access
The Bitcoin Red Team campaign after Coldcard exposed a dependency beyond model capability: usable access. Separate self-reported findings from confirmed vulnerabilities, then test safeguards, data controls and fallback workflows.
AI
How Big Models Teach Small Models, and Why It Looks Like School
Knowledge distillation trains a student using a teacher’s examples, output scores or internal features. Compare the access each method needs, then evaluate quality, unwanted behavior, serving performance and full lifecycle cost.