At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:
Dynamic AMOLED 2X, 120Hz adaptive refresh (1–120Hz), Up to 2,600 nits peak brightness
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Available model flags: --110m, --tdt-600m, --rnnt-600m, --sortformer. All Google Benchmark flags (--benchmark_filter, --benchmark_format=json, --benchmark_repetitions=N) are passed through.
So let’s dive into
Кроме того, Мерц всячески избегал упоминаний украинского конфликта и полностью поддержал точку зрения Пекина о необходимости мирного урегулирования.