On Reddit, a user reports having used GPT-5.6 to fill a known 30-year gap in convex optimization. To be taken seriously - but to be framed.
Jul 19, 2026 at 00:39 12 12
A Show HN tool for comparing token cost and cache-miss impact across coding agents launches the same week Meta's Mosseri floated per-engineer token caps—the token-budget-caps thread just got its measurement layer.
Aug 19, 2026 at 22:31 11 14
An InfoQ architecture presentation makes the case that context quality is the new latency—and that most teams are over-indexing on window size instead of signal density.
Aug 14, 2026 at 18:59 9 11
A CAST AI study on ~23,000 Kubernetes clusters (AWS/Azure/GCP): 5% average GPU utilization. Three Korean publishers respond the same day. The structural lever is not more compute, it's better compute.
Jul 31, 2026 at 12:51 13 10
In Fowler's exploring-gen-ai series, Giles Edwards-Alexander runs a small experiment: decompose a large function, and watch what happens to the token cost of AI-assisted changes. The lever refactoring gives you is now measurable in dollars.
Jul 30, 2026 at 19:40 16 18
A field guide argues embedded SQLite can carry a real production workload - if you know the WAL/mmap/VFS knobs. Under the hood, plus the trade-offs it won't fix.
Jul 29, 2026 at 12:46 14 13
Agent Swarm publishes the cleanest production measurement to date: Code Mode delivers a model-invariant ~99.2% dollar cost reduction versus the classic tool loop. Cloudflare (99.9% token cut) and Anthropic (98.7% on Drive→Salesforce) had promised it; it's now reproduced on real workload.
Jul 23, 2026 at 18:39 6 6
A sparse attention kernel that makes long-context training finally affordable - if the benchmarks hold up outside the lab.
Jul 13, 2026 at 02:20 3 11
A viral post questions the reliability of micro-benchmarks: the same code can vary by 30% depending on the order of symbols, memory position, or username. What this means for craft.
Jul 11, 2026 at 17:14 5 7
