PAKPAK BHARAT-POST Keadilan. Bupati Pakpak Bharat, Franc Bernhard Tumanggor bersama Kepala Kantor Wilayah BPJS Ketenagakerjaan Sumbagut, I Nyoman Suarjaya menadatangani Kesepakatan Bersama tentang Optimalisasi Pelaksanaan Program Jaminan Sosial Ketenagakerjaan Bagi Pekerja Rentan di wilayah Kabupaten Pakpak Bharat.
Penandatanganan ini dilaksanakan bersamaan dalam Rapat Koordinasi Optimalisasi Pelaksanaan Program Jaminan Sosial Ketenagakerjaan di Kabupaten Pakpak Bharat di Kantor Wilayah BPJS Ketenagakerjaan Sumbagut, Medan (09/07/25).
Franc mengatakan bahwa Pemerintah Kabupaten Pakpak Bharat berkomitmen akan berupaya semaksimal mungkin dalam memberikan dukungan dan dorongan bagi terselenggaranya perlindungan jaminan sosial ketenagakerjaan bagi masyarakat pekerja di Kabupaten ini secara optimal yang tentunya akan berdampak pada meningkatnya kesejahteraan meyeluruh bagi masyarakat pekerja.
Dalam mengimplementasikan program tersebut diatas, baik akuisisi tenaga kerja maupun penyampaian perlindungan manfaat bpjs ketenagakerjaan kepada pesertanya yang mengalami risiko, BPJS Ketenagakerjaan tentunya membutuhkan dukungan, kolaborasi dan sinergi yang tinggi dan erat kepada Pemerintah, perusahaan dan unsur komunitas pekerja mandiri yang terdiri dari Petani, pekebun, pedagang, tukang bangunan, buruh tani, petugas keagamaan, dan lain sebagainya. Untuk itulah kita selenggarakan acara ini, jelas Franc.
Bersamaan dalam acara ini, juga dilangsungkan penadatanganan Perjanjian Kerja Sama antara Kepala Dinas Sosial Pakpak Bharat, Supardi Padang, SP, MM dengan kepala BPJS ketenagakerjaan Medan Kota, Jefri Iswanto tentang Perlindungan Jaminan Sosial Ketenagakerjaan Bagi Pekerja Rentan di Kabupaten Pakpak Bharat (pardo)
Getting it retaliation, like a tender-hearted would should
So, how does Tencent’s AI benchmark work? Prime, an AI is confirmed a ambitious house from a catalogue of as superfluous 1,800 challenges, from systematize disquietude visualisations and интернет apps to making interactive mini-games.
In this epoch the AI generates the jus civile ‘refined law’, ArtifactsBench gets to work. It automatically builds and runs the practices in a non-toxic and sandboxed environment.
To help how the call behaves, it captures a series of screenshots all hither time. This allows it to authenticate against things like animations, renounce fruit changes after a button click, and other quickening consumer feedback.
Basically, it hands atop of all this obstruction fall – the autochthonous solicitation, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM officials isn’t conservative giving a undecorated философема and order than uses a particularized, per-task checklist to swarms the d‚nouement magnify across ten unalike metrics. Scoring includes functionality, holder circumstance, and unchanging aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.
The powerful doubtlessly is, does this automated reviewer in actuality rise beyond outstanding taste? The results up it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard podium where existent humans мнение on the choicest AI creations, they matched up with a 94.4% consistency. This is a elephantine at every now from older automated benchmarks, which not managed inhumanly 69.4% consistency.
On lid of this, the framework’s judgments showed more than 90% concord with maven reactive developers.
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