A newsletter covering several system design and AI topics. The main technical piece explains the differences between latency, throughput, and bandwidth using clear analogies: bandwidth is the highway width (maximum capacity), throughput is the actual traffic flow (real delivery rate), and latency is travel time from A to B. It notes throughput is always less than bandwidth due to congestion, packet loss, and protocol overhead. Other sections cover Google's TPU 8th generation (split into training-focused 8t and inference-focused 8i variants), the 7 permission modes in Claude Code, and five AI trends to watch in 2026 including efficient reasoning, persistent agents, repo-scale coding, open-weight models, and physical AI.
Table of contents
Map workflows, automate E2E tests, and ship faster with QA Wolf (Sponsored)CPU vs GPU vs TPULatency vs Throughput vs BandwidthWhat is Google’s TPU?7 Permission Modes Every Claude Code User Should KnowTop AI Trends to Watch in 2026We’re hiring at ByteByteGo676 Impressions