{"wersja":"aipoc-lab/pochodzenie-0.1","zrodla":[{"url":"https://arxiv.org/abs/2609.08015","tagi":["kat/tech","tem/agents","tem/tooling","typ/paper"],"tytul":"From Version Conflicts to Decision Conflicts: Selective Revalidation for Long-Running AI Agents","zrodlo":{"id":7,"typ":"rss","url":"https://rss.arxiv.org/rss/cs.AI"},"zebrano":"2026-09-10T03:36:41.175985+00:00","sygnal_id":11080,"opublikowano":"2026-09-09T04:00:00+00:00"},{"url":"https://arxiv.org/abs/2609.06229","tagi":["kat/tech","tem/agents","tem/llm","tem/security","typ/paper"],"tytul":"SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction","zrodlo":{"id":7,"typ":"rss","url":"https://rss.arxiv.org/rss/cs.AI"},"zebrano":"2026-09-10T03:36:41.175985+00:00","sygnal_id":11229,"opublikowano":"2026-09-09T04:00:00+00:00"},{"url":"https://arxiv.org/abs/2601.13591","tagi":["kat/tech","pod/anthropic","pod/openai","tem/agents","tem/llm","tem/multimodal","typ/paper"],"tytul":"DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems","zrodlo":{"id":7,"typ":"rss","url":"https://rss.arxiv.org/rss/cs.AI"},"zebrano":"2026-09-10T03:36:41.175985+00:00","sygnal_id":11476,"opublikowano":"2026-09-09T04:00:00+00:00"},{"url":"https://blogs.nvidia.com/blog/ibc-news-2026/","tagi":["kat/tech","pod/nvidia","tem/hardware","tem/multimodal","typ/news"],"tytul":"NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC","zrodlo":{"id":9,"typ":"rss","url":"https://blogs.nvidia.com/feed/"},"zebrano":"2026-09-10T03:36:43.689004+00:00","sygnal_id":11729,"opublikowano":"2026-09-09T16:00:42+00:00"},{"url":"https://blog.google/products-and-platforms/products/gemini/ai-navigate-bureaucracy/","tagi":["kat/tech","pod/google","tem/automation","tem/llm","typ/news"],"tytul":"4 ways Gemini makes administrative chores quick and easy","zrodlo":{"id":13,"typ":"rss","url":"https://blog.google/products/gemini/rss/"},"zebrano":"2026-09-10T03:36:50.115443+00:00","sygnal_id":11731,"opublikowano":"2026-09-09T16:00:00+00:00"}],"lancuch":[{"na":"new","aktor":"writer","kiedy":"2026-09-10T05:00:39.487+00:00","powod":"draft z 5 sygnalow: #11731 #11729 #11229 #11476 #11080"},{"z":"new","na":"approved","aktor":"pm","kiedy":"2026-09-10T05:03:02.556053+00:00","powod":"apr"},{"z":"approved","na":"published","aktor":"publisher","kiedy":"2026-09-10T07:00:00.902481+00:00","powod":"payload doc 290"}],"artefakt":{"id":11735,"tagi":["kat/tech","pod/anthropic","pod/google","tem/agents","tem/llm","tem/multimodal","typ/analysis"],"tytul":"Jak agenci AI usprawniają pracę i badania","rodzaj":"draft","status":"published","utworzony":"2026-09-10T05:00:39.487+00:00","dokument_cms":"290"},"przebiegi":[{"start":"2026-09-10T03:30:08.032237+00:00","koniec":"2026-09-10T03:36:41.472643+00:00","run_id":759,"status":"ok","workflow":"miner"},{"start":"2026-09-10T03:36:42.136425+00:00","koniec":"2026-09-10T03:36:43.702203+00:00","run_id":761,"status":"ok","workflow":"miner"},{"start":"2026-09-10T03:36:47.2924+00:00","koniec":"2026-09-10T03:36:50.132711+00:00","run_id":763,"status":"ok","workflow":"miner"},{"start":"2026-09-10T05:00:00.10134+00:00","koniec":"2026-09-10T05:00:39.519679+00:00","run_id":766,"status":"ok","workflow":"writer"}]}