Wisnu Saputra

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Wisnu Saputra

Wisnu Saputra

@wsme_dev

Product Engineer | Building @quickcap_mac

Entrou em Aralık 2017
618 Seguindo92 Seguidores
Awesome kid
Awesome kid@algonacci·
AI nya capek anjir
Awesome kid tweet media
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David Alfa Sunarna
David Alfa Sunarna@davidsunarna·
Kira2 kalau gua hari ini bahas biaya perawatan harley pada tertarik ga? Berapa ganti olinya, harga part2nya, seberapa sering rusak. 🤣 Gua tulis pake tangan gak pake AI kayak si bocah bader 🫵
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Wisnu Saputra retweetou
Cursor
Cursor@cursor_ai·
Composer 2 is now available in Cursor.
Cursor tweet media
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Wisnu Saputra
Wisnu Saputra@wsme_dev·
@rhmi_fii Kalau udah yakin mau pake linux langsung hapus windows atau device baru Tapi kalau masih coba” cukup pake WSL untuk adaptasi dulu
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Rahmi
Rahmi@rhmi_fii·
Mas-mas ada tips nggak sebelum jalanin dual boot di laptop?
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Wisnu Saputra
Wisnu Saputra@wsme_dev·
@F2aldi Seenggaknya dalam satu devisi ada atasan atau orang yang testing sih harusnya
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λL-D1 | AI for Buzzer 🍉
Vibe code ga mslah. Asalkan sistemnya bener. Hrusnya dipertanyakan juga. UI gaji developernya berapa? UI hiring Designer gak? Sehingga mreka sampek skip buat testing, desain vibe code juga? Itu harusnya jadi pertanyaan kita. Apa jangan2 hiring junior? Ga ada seniornya?
endruw@andrew4ranting

not just ts ui, tpi masih banyak lgi web-web UI baru yg vibe coded 🥀🥀🥀 certificate.ui.ac.id Ipis.ui.ac.id padahal design website lama UI itu classy parah, sekarang udah jadi AI slop kayak gini. Sangat disayangkan

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Muhammad Azamuddin
Muhammad Azamuddin@azamuddin91·
Ngoding sekarang pake uang, dan sistemnya berasa gacha gitu Kadang modelnya lagi bagus ya bagus, kalau lagi jelek ya jelek. Harga subscription juga pengaruh, berasa pay to win 🫠
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Imelda
Imelda@mechnclgrl·
Guys, pertanyaan keluarga paling bikin deg-degan pas lebaran apa? 😭
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Wisnu Saputra
Wisnu Saputra@wsme_dev·
@rudrank Wow.. Is this the right time to switch subscriptions to Minimax?
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Rudrank Riyam
Rudrank Riyam@rudrank·
Wow MiniMax M2.7 is out already I did not get a chance to write a blog post TL;DR feels much nicer to use than M2.5 Pushes back on features/plans like GPT/Codex models which is something I was really looking forward to
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Manda Putra
Manda Putra@_mandaputtra·
@mechnclgrl "Mas, kenapa kok kita gabisa lebih cepat dari cahaya?" dan segala pertanyaan teori relativitas lainnya.
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Wisnu Saputra
Wisnu Saputra@wsme_dev·
Wadoo xiaomi join war
Artificial Analysis@ArtificialAnlys

Xiaomi has released MiMo-V2-Pro, which scores 49 on the Artificial Analysis Intelligence Index, placing it between Kimi K2.5 and GLM-5 @Xiaomi's MiMo-V2-Pro is a new reasoning model and a significant upgrade over their prior open weights release, MiMo-V2-Flash (309B total / 15B active, MIT license), which scores 41 on the Intelligence Index. Xiaomi has not yet released the weights of this model and it is currently only available via Xiaomi's first-party API. Key takeaways: ➤ MiMo-V2-Pro scores 49 on the Artificial Analysis Intelligence Index behind GLM-5 (Reasoning, 50). It is ahead of Kimi K2.5 (Reasoning, 47) and Qwen3.5 397B A17B (Reasoning, 45). On the overall leaderboard, it places #10, just behind GPT-5.2 Codex (xhigh, 49) and ahead of Grok 4.20 Beta (Reasoning, 48) ➤ Leading Elo of 1426 on GDPval-AA (Agentic Real-World Work Tasks), ahead of peer models: On GDPval-AA, MiMo-V2-Pro places ahead of GLM-5 (Reasoning, 1406), Kimi K2.5 (Reasoning, 1283), and Qwen3.5 397B A17B (Reasoning, 1209). GPT-5.4 (xhigh) and Claude Sonnet 4.6 (Adaptive Reasoning, max effort) have an Elo of 1667 and 1633 respectively ➤ Competitive AA-Omniscience Index driven by low hallucination: MiMo-V2-Pro scores +5, ahead of GLM-5 (Reasoning, +2), Kimi K2.5 (Reasoning, -8), and Qwen3.5 397B A17B (Reasoning, -30). For context, Claude Opus 4.6 (Adaptive Reasoning, max effort, +14) and Gemini 3.1 Pro Preview (+33) remain ahead ➤ MiMo-V2-Pro is more token efficient than peers. It used 77M output tokens to run the Artificial Analysis Intelligence Index, significantly less than GLM-5 (Reasoning, 109M) and Kimi K2.5 (Reasoning, 89M) ➤ MiMo-V2-Pro costs $348 to run the Artificial Analysis Intelligence Index at $1/$3 per 1M input/output tokens. This is less expensive than GLM-5 despite scoring only 1 point lower on the Intelligence Index. For comparison, GPT-5.2 (xhigh) cost $2,304 and Claude Opus 4.6 (Adaptive Reasoning, max effort) cost $2,486 Key model information: ➤ Context window: 1M tokens ➤ Pricing: $1/$3 per 1M input/output tokens, for 256K token input and $2/$6 per 1M input/output tokens for 1M token input ➤ Availability: Xiaomi first-party API only ➤ Modality: Text input and output only (no multimodality)

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