Pakai Masker

Research Index #3 globally as well as #1 in care

@satirnesia Waduh air apaan tuh??? Air sucikah?

sehaus itu kah anj 😭🫵

@ardisatriawan 😩😩

Wajib militer di Korea karena jaga-jaga perang sama Korut Wajib militer di Taiwan karena jaga-jaga kalau US-China mau konflik Wajib militer di Singapura karena warganya dikit, personil tentara kurang Wajib militer di Indonesia karena mau JAGA TOKO. Sekali lagi, mau JAGA TOKO.

@kumparan Kok dia sibuk emng jabatan dia apa?

Sekretaris Kabinet Letkol Teddy Indra Wijaya mengungkap alasan penyesuaian harga BBM Pertamax, yang naik. Ia menyebut, Pertamax merupakan BBM non-subsidi sehingga harganya harus mengikuti harga minyak dunia. "Pertamax adalah BBM Non-subsidi. Artinya, harga Pertamax harus mengikuti harga minyak dunia," kata Teddy dalam unggahan akun Instagram @sekretariat.kabinet, Jumat (12/6). Teddy menegaskan, BBM yang bersubsidi tidak ikut naik. Ia menuturkan, harga dunia sudah naik sejak bulan Maret. Sementara, pemerintah sudah menahan kenaikan harga selama berbulan-bulan. Meskipun Pertamax di Indonesia mengalami kenaikan harga, Teddy menegaskan bahwa harga di Indonesia masih jauh lebih murah dibanding negara lain. Berikut perbandingan harga BBM RON 92/95 di negara ASEAN: - Indonesia Rp 16.260 - Filipina Rp 22.158 - Laos Rp 31.945 - Thailand Rp 28.910 - Myanmar Rp 25.085 - Singapura Rp 42.971 📸: Dok. Antara. Baca selengkapnya dengan klik link di bio. Cari tahu berita update lainnya dengan download aplikasi kumparan di App Store atau Google Play.⁠ 📝: newsupdate | update | news | oneliner | R120 | E164 #bicarafaktalewatberita #kumparan

@MiskinTV_ Kak ga takut kamu ilang?

JUST IN: BEM UI Akan turun aksi pada Jumat 12 Juni 2026

@indepenSumatera Hari ini gini banyak kali orang Halu

🥱

@boxxtoc Waduh,,,mana ada rncna balik ke Indonesia pulak.

Kalian mau ikutan nggak gaes? Ngeri juga sih kalau sampe kejadian reformasi jilid 2

@bakuldimsum_ Jelas lah IQ orang kita emang gtu deh mknya ga usah heran klo Fufufafa yg menang

Ada Anies ada Ganjar lu milih Gibran. Kocak kocak😹

MIT just made every AI company's billion dollar bet look embarrassing. They solved AI memory. Not by building a bigger brain. By teaching it how to read. The paper dropped on December 31, 2025. Three MIT CSAIL researchers. One idea so obvious it hurts. And a result that makes five years of context window arms racing look like the wrong war entirely. Here is the problem nobody solved. Every AI model on the planet has a hard ceiling. A context window. The maximum amount of text it can hold in working memory at once. Cross that line and something ugly happens — something researchers have a clinical name for. Context rot. The more you pack into an AI's context, the worse it performs on everything already inside it. Facts blur. Information buried in the middle vanishes. The model does not become more capable as you feed it more. It becomes more confused. You give it your entire codebase and it forgets what it read three files ago. You hand it a 500-page legal document and it loses the clause from page 12 by the time it reaches page 400. So the industry built a workaround. RAG. Retrieval Augmented Generation. Chop the document into chunks. Store them in a database. Retrieve the relevant ones when needed. It was always a compromise dressed up as a solution. The retriever guesses which chunks matter before the AI has read anything. If it guesses wrong — and it does, constantly — the AI never sees the information it needed. The act of chunking destroys every relationship between distant paragraphs. The full picture gets shredded into fragments that the AI then tries to reassemble blindfolded. Two bad options. One broken industry. Three MIT researchers and a deadline of December 31st. Here is what they built. Stop putting the document in the AI's memory at all. That is the entire idea. That is the breakthrough. Store the document as a Python variable outside the AI's context window entirely. Tell the AI the variable exists and how big it is. Then get out of the way. When you ask a question, the AI does not try to remember anything. It behaves like a human expert dropped into a library with a computer. It writes code. It searches the document with regular expressions. It slices to the exact section it needs. It scans the structure. It navigates. It finds precisely what is relevant and pulls only that into its active window. Then it does something that makes this recursive. When the AI finds relevant material, it spawns smaller sub-AI instances to read and analyze those sections in parallel. Each one focused. Each one fast. Each one reporting back. The root AI synthesizes everything and produces an answer. No summarization. No deletion. No information loss. No decay. Every byte of the original document remains intact, accessible, and queryable for as long as you need it. Now here are the numbers. Standard frontier models on the hardest long-context reasoning benchmarks: scores near zero. Complete collapse. GPT-5 on a benchmark requiring it to track complex code history beyond 75,000 tokens — could not solve even 10% of problems. RLMs on the same benchmarks: solved them. Dramatically. Double-digit percentage gains over every alternative approach. Successfully handling inputs up to 10 million tokens — 100 times beyond a model's native context window. Cost per query: comparable to or cheaper than standard massive context calls. Read that again. One hundred times the context. Better answers. Same price. The timeline of the arms race makes this sting harder. GPT-3 in 2020: 4,000 tokens. GPT-4: 32,000. Claude 3: 200,000. Gemini: 1 million. Gemini 2: 2 million. Every generation, every company, billions of dollars spent, all betting on the same assumption. More context equals better performance. MIT just proved that assumption was wrong the entire time. Not slightly wrong. Fundamentally wrong. The entire premise of the last five years of context window research — that the solution to AI memory was a bigger window — was the wrong answer to the wrong question. The right question was never how much can you force an AI to hold in its head. It was whether you could teach an AI to know where to look. A human expert handed a 10,000-page archive does not read all 10,000 pages before answering your question. They navigate. They search. They find the relevant section, read it deeply, and synthesize the answer. RLMs are the first AI architecture that works the same way. The code is open source. On GitHub right now. Free. No license fees. No API costs. Drop it in as a replacement for your existing LLM API calls and your application does not even notice the difference — except that it suddenly works on inputs it used to fail on entirely. Prime Intellect — one of the leading AI research labs in the space — has already called RLMs a major research focus and described what comes next: teaching models to manage their own context through reinforcement learning, enabling agents to solve tasks spanning not hours, but weeks and months. The context window wars are over. MIT won them by walking away from the battlefield. Source: Zhang, Kraska, Khattab · MIT CSAIL · arXiv:2512.24601 Paper: arxiv.org/abs/2512.24601 GitHub: github.com/alexzhang13/rlm

@karirfess CB? Chibi Chibi

info A1🫣🙃 katanya Pak Purbaya mau diganti ya sore ini. calon menkeu yg baru inisialnya CB. kira2 bener gak infonya nih?

@Britaindah Loh kan itu atas perbuatan si chibi2 dan adiknya yg numpang dirumah R trs julid ke mantan suami nya mknya diserang netijen

@kumparan Gagal dong buka cabang Embege di Arab. Ngemeng2 penggantinya sami mawon jg kaya si mantan

Presiden Prabowo Subianto mencopot Dadan Hindayana dari jabatannya sebagai Kepala Badan Gizi Nasional (BGN). Keputusan tersebut diumumkan Menteri Sekretaris Negara Prasetyo Hadi di Kantor Kepresidenan, Jakarta Pusat, Selasa (2/6). Prasetyo mengatakan pergantian pimpinan dilakukan setelah Presiden melakukan monitoring dan evaluasi terhadap pelaksanaan program-program pemerintah, termasuk program yang dijalankan BGN. Menurutnya, BGN memiliki peran penting dalam menjalankan program prioritas Presiden. “Pada hari ini Selasa 2 Juni 2026, Bapak Presiden mengambil keputusan melakukan pergantian pimpinan BGN,” kata Prasetyo. Dadan Hindayana merupakan akademisi dan peneliti entomologi dari IPB University. Ia pertama kali dilantik sebagai Kepala BGN oleh Presiden Joko Widodo pada 19 Agustus 2024 dan kemudian melanjutkan kepemimpinan lembaga tersebut pada masa pemerintahan Presiden Prabowo Subianto. 📸: Dok. kumparan/Jamal Ramadhan. Baca selengkapnya dengan klik link di bio. Cari tahu berita update lainnya dengan download aplikasi kumparan di App Store atau Google Play. 📝: newsupdate | update | news | oneliner | R169 | E053 #bicarafaktalewatberita #kumparan

@tempedotc0 Agak laen emanh pemikiran wong ini

Presiden di Depan Macron: Saya Sudah Instruksikan Sekolah di RI Harus Belajar Makan-makanan Prancis

Gelareh Zadeh, M.D., Ph.D., joined Mayo Clinic in 2025 with a bold focus: understanding neurological disease at its roots. mayocl.in/3PQ6552 By bringing experts across disciplines together through the BIONIC initiative, she’s helping shift neuroscience from treating symptoms to truly understanding the brain. #Neuroscience #BIONIC #BrainHealth

@dedesatrya @MuhadklyAcho Lu yg goblok blok2…dah tau org pelanggaran HAM di dukung. Dah tau demi jd presiden menghalal segala cara mengubah UU. Lu punya otak kan? Atau pas pembagian otak, lu nya bolos sekolah

@MuhadklyAcho Perjalanan Anies: Jadi timses Jokowi , trus lepas dari jokowi balik dukung prabowo, lalu dapat dukungan prabowo jadi gubernur, APA YG LO HARAPKAN DARI ORANG MUNAFIK, trus pendukungnya skrng bilang voters 02 goblok, LUCU !!! Sadar orang yg lu dukung dah goblk duluan

“Alah, dia mah menang di pinter ngomong!”. Lha ya masih mending, ini udah mah kerjanya goblok, ngomongnya lebih goblok lagi 🤣

Prabowo Klaim Sangat Dihormati Kalau ke Luar Negeri

@itslexxviia Gmn mau ngejelasin dia aja bingung dgn kondisi skrg wkkwk

Jadi ini solusi buat rupiah gimana, Pak?

@tang__kira Kocak lu pade…

@iPopBase Kirim kaca yg gede coba suruh banyak2 berkaca

Prabowo Subianto on Indonesia’s underperformed GDP: “Kita harus introspeksi, sadar, dan berani bertanya: kenapa kita tidak bisa mengelola ekonomi kita sehingga pendapatan negara kita bisa setara dengan negara seperti Filipina dan Meksiko? Apa yang menyebabkan kita tidak mampu? Bedanya apa kita dengan orang Malaysia, orang Kamboja, atau orang Filipina?”