I pulled every score ACL Rolling Review has published: 69,781 scored submissions across 35 cycles, 2021 to 2026. No paper ever averaged a 5.0. The scores are per-paper aggregates, not individual reviews, the mode is 2.5, and the meta score swings wider than a paper's averaged reviews.
The workflow I use across concurrent paper projects: each reported value points to a scorer and run, stop conditions precede spending, full runs require five checks, logs are append-only, and detector outputs receive a manual audit.
Across 19 models, bare paste seams absorb typed afterthoughts at rates from 8% to 68%. Whitespace does not help; provenance markup does, and matching the artifact’s voice makes the failure sharply worse.
Across five models, a nonbinding monitor improved recovery from corrupted tool results when its receipt named callable alternatives. Detection alone did not produce the measured gain.
An initial 2,000-call LAPSE pilot found that consolidation selectively rewrote temporary forms into standing facts, while date stamps and a one-line preservation instruction barely changed later behavior.
Part one replaced a 3.4 MB video with 40 KB of DOM animation. Part two adds a camera: zoom into the action, pan to follow the cursor, pull back for scene changes. Plus the SEO, accessibility, and agent arguments I skipped the first time.
A public companion to our arXiv paper on LLM memory evaluation: the same ranked list can produce different winners when Raw, Source, and Canonical scoring targets are swapped.
A 15-second hero video was 3.4 MB, letterboxed on phones, and ignored prefers-reduced-motion. I replaced it with a scripted GSAP animation: one timeline, cursor choreography, scene transitions, under 40 KB gzipped.
A protocol proposal for voice-agent interruptions: generated audio races ahead of playback, current stacks expose cancellation and truncation, and agents still need first-class heard state and resumable threads.
In the SIEVE study, the same compressed evidence helped weaker reader models more than stronger ones. For the strongest reader, the help-to-damage ratio fell to 1:1 and 15% of previously correct answers became wrong.
An implementation report for playimposter.xyz covering page-specific metadata, canonical URLs, multilingual hreflang clusters, structured data, crawl directives, sitemaps, and server configuration.
Part 1 of my deepseek-go series: why I built it, the production problems it solved, and the architecture principles that shaped the package.
Part 2 dives into deepseek-go internals: client options, request/response handlers, streaming, FIM, JSON mode, and provider compatibility.
Part 3 analyzes adoption and growth with live GitHub stats, release cadence, star-history graphs, and what those trends changed in my engineering priorities.
Part 4 closes the series with contributor thanks, hard SDK lessons, and my roadmap for deepseek-go's next stage.
Part 5 details my Go testing strategy for deepseek-go: layered tests, stream safety checks, and release confidence practices.
Part 6 explains how I integrated Ollama into deepseek-go with explicit adapters, stream resilience, and practical provider compatibility.
At Prediction3d, edge deployment made data quality, memory use, latency, quantization, pruning, and exported-runtime checks part of the model-selection decision.
Part 3 of the Go web services series: testing pyramid, deployment safety checks, rollout strategy, scaling sequence, and production checklist.
Part 2 of the Go web services series: repository boundaries, middleware ordering, authentication, database handling, and observability.
Part 1 of a detailed Go web services series: setup, server lifecycle, configuration, error handling, and Python-to-Go workflow.
How I designed a paper-aesthetic texture and integrated it into a modern React portfolio using Tailwind CSS.
