Wisnu Saputra
2.2K posts

Wisnu Saputra
@wsme_dev
Product Engineer | Building @quickcap_mac



Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: 🎨 AI-Native Canvas 🧠 Smarter Design Agent 🎙️ Voice ⚡️ Instant Prototypes 📐 Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in 🧵


Ngesetup app store connect buat app rilis pertama kali painful juga ya. 😂



@ariaghora nge-vibe code pakai apa sekarang?


Composer 2 is now available in Cursor.



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

Dari List panjang gini isinya bisa dirangkum "Bayar Pajak", Itu doang dah. Tapi lupa, bisa punya semua banyak list itu yah karena "Pajak" itu. Punya mobil kalau pemerintah tidak bangun jalan raya, yah bentaran hancur mobilmu kena hantam batu dan lumpur. Juga pajak itu buat bangun fasilitas, sehingga kamu tidak kayak hidup di tengah hutan. Sedang menurut data yang bayar pajak di Indonesia cuma 8 juta saja dari 280 juta penduduk, ironis banget yah. Artinya apa itu? Banyak yang cuma ngaku-ngaku dirinya bayar pajak, padahal cuma habisin pajak dengan makan subsidi dari duit negara setiap hari.





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)

"Yok bisa sampe nihil yookk" 😌









