Evaluating Opus 4.6 on BrowseComp, we found cases where the model recognized the test, then found and decrypted answers to itâraising questions about eval integrity in web-enabled environments. BrowseComp is an evaluation designed to test how well models can find hard-to-locate information on the web. Like many benchmarks, it is vulnerable to contamination: answers leak onto the public web through
23 tasks | 11 languages | 14 models | 14% pass rate | Updated 16 Jan 2026 | QuesmaOrg/otel-bench Distributed tracing requires stitching together distinct user journeys across complex microservices, rather than just writing isolated functions. We tested whether top models can successfully instrument applications with OpenTelemetry to see if they are actually ready to handle real-world Site Reliabil
I Improved 15 LLMs at Coding in One Afternoon. Only the Harness Changed. In fact only the edit tool changed. Thatâs it. ¶ 0x0: The Wrong QuestionThe conversation right now is almost entirely about which model is best at coding, GPT-5.3 or Opus. Gemini vs whatever dropped this week. This framing is increasingly misleading because it treats the model as the only variable that matters, when in realit
Infrastructure configuration can swing agentic coding benchmarks by several percentage pointsâsometimes more than the leaderboard gap between top models. Agentic coding benchmarks like SWE-bench and Terminal-Bench are commonly used to compare the software engineering capabilities of frontier modelsâwith top spots on leaderboards often separated by just a few percentage points. These scores are oft
Trinity-Large-Base is a true frontier-class foundation model. We match and exceed our peers in open-base models across a wide range of benchmarks, including math, coding, scientific reasoning, and raw knowledge absorption. Inference efficiencyWe trained on 2048 Nvidia B300 GPUs. As far as we can tell, itâs the largest (publicly stated, at least) pretraining run done on these machines. That means t
TL;DR: Vortex is a new columnar file format with a very promising design. SpiralDB and DuckDB Labs have partnered to give you a very fast experience while reading and writing Vortex files! I think it is worth starting this intro by talking a little bit about the established format for columnar data. Parquet has done some amazing things for analytics. If you go back to the times where CSV was the b
Update: I've since added multithreading and pushed astroz to 326M propagations/sec. Read the follow-up â I've spent the past month optimizing SGP4 propagation and ended up with something interesting: astroz is now the fastest general purpose SGP4 implementation I'm aware of, hitting 11-13M propagations per second in native Zig and ~7M/s through Python with just pip install astroz. This post breaks
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Have you ever watched long running migration script, wondering if it's about to wreck your data? Or wish you can "just" spin a fresh copy of database for each test run? Or wanted to have reproducible snapshots to reset between runs of your test suite, (and yes, because you are reading boringSQL) needed to reset the learning environment? When your database is a few megabytes, pg_dump and restore wo
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