{"wersja":"aipoc-lab/pochodzenie-0.1","zrodla":[{"url":"https://arxiv.org/abs/2609.16251","tagi":["kat/tech","tem/agents","tem/tooling","typ/paper"],"tytul":"CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided Design","zrodlo":{"id":7,"typ":"rss","url":"https://rss.arxiv.org/rss/cs.AI"},"zebrano":"2026-09-17T03:32:19.358724+00:00","sygnal_id":14007,"opublikowano":"2026-09-16T04:00:00+00:00"},{"url":"https://arxiv.org/abs/2609.16305","tagi":["kat/tech","tem/agents","tem/security","typ/paper"],"tytul":"BLINDSPOT: A Benchmark for Safety and Refusal Calibration in Long-Horizon Tool-Using Agents","zrodlo":{"id":7,"typ":"rss","url":"https://rss.arxiv.org/rss/cs.AI"},"zebrano":"2026-09-17T03:32:19.358724+00:00","sygnal_id":14011,"opublikowano":"2026-09-16T04:00:00+00:00"},{"url":"https://arxiv.org/abs/2609.16338","tagi":["kat/tech","tem/hardware","tem/llm","typ/paper"],"tytul":"Breaking the 1.58-bit Barrier for Ternary LLMs","zrodlo":{"id":7,"typ":"rss","url":"https://rss.arxiv.org/rss/cs.AI"},"zebrano":"2026-09-17T03:32:19.358724+00:00","sygnal_id":14013,"opublikowano":"2026-09-16T04:00:00+00:00"},{"url":"https://blogs.nvidia.com/blog/vera-rubin-nvl72-mlperf-inference/","tagi":["kat/tech","pod/nvidia","tem/hardware","typ/news"],"tytul":"NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut","zrodlo":{"id":9,"typ":"rss","url":"https://blogs.nvidia.com/feed/"},"zebrano":"2026-09-17T03:32:22.146414+00:00","sygnal_id":14259,"opublikowano":"2026-09-16T15:00:48+00:00"},{"url":"https://rocm.blogs.amd.com/artificial-intelligence/dflash-on-MI355x/README.html","tagi":["kat/tech","pod/bigtech-other","tem/hardware","tem/llm","typ/analysis"],"tytul":"DFlash Speculative Decoding on AMD Instinct MI355X: Up to 5× Faster Qwen3.5 Inference","zrodlo":{"id":12,"typ":"rss","url":"https://rocm.blogs.amd.com/blog/atom.xml"},"zebrano":"2026-09-17T03:32:23.718793+00:00","sygnal_id":14260,"opublikowano":"2026-09-16T00:00:00+00:00"}],"lancuch":[{"na":"new","aktor":"writer","kiedy":"2026-09-17T05:00:33.490557+00:00","powod":"draft z 5 sygnalow: #14260 #14259 #14007 #14011 #14013"},{"z":"new","na":"approved","aktor":"pm","kiedy":"2026-09-17T10:05:39.390261+00:00","powod":"apr"},{"z":"approved","na":"published","aktor":"publisher","kiedy":"2026-09-17T10:30:00.565722+00:00","powod":"payload doc 310"}],"artefakt":{"id":14264,"tagi":["kat/tech","pod/bigtech-other","pod/nvidia","tem/agents","tem/hardware","tem/llm","typ/analysis"],"tytul":"Nowe benchmarki i optymalizacja wydajności AI","rodzaj":"draft","status":"published","utworzony":"2026-09-17T05:00:33.490557+00:00","dokument_cms":"310"},"przebiegi":[{"start":"2026-09-17T03:30:06.774014+00:00","koniec":"2026-09-17T03:32:19.500707+00:00","run_id":1060,"status":"ok","workflow":"miner"},{"start":"2026-09-17T03:32:20.134921+00:00","koniec":"2026-09-17T03:32:22.158819+00:00","run_id":1062,"status":"ok","workflow":"miner"},{"start":"2026-09-17T03:32:22.16478+00:00","koniec":"2026-09-17T03:32:23.727288+00:00","run_id":1063,"status":"ok","workflow":"miner"},{"start":"2026-09-17T05:00:00.093282+00:00","koniec":"2026-09-17T05:00:33.558172+00:00","run_id":1068,"status":"ok","workflow":"writer"}]}