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@NPixel15747

"@Gradient_HQ contributor | AI enthusiast | Paper summaries | Random life, jbjb, & chaos everyday | Mutual yuk!"

Katılım Aralık 2024
1.9K Takip Edilen1.8K Takipçiler
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Asriadi ./
Asriadi ./@NPixel15747·
Apa itu Gradient @Gradient_HQ adalah sebuah laboratorium riset AI yang fokus membangun open intelligence kecerdasan buatan yang terbuka dan bisa dikembangkan bersama. Untuk mewujudkannya, Gradient membangun infrastruktur AI yang terdesentralisasi sepenuhnya, yang mereka sebut Open Intelligence Stack (OIS). Sederhananya: AI tidak lagi berjalan di satu server atau satu perusahaan, tapi di jaringan terbuka. Masalah Besar yang Ingin Dijawab Gradient Gradient bekerja di persimpangan Blockchain dan AI, dengan pertanyaan yang sangat menantang: Bisakah kita melatih dan menjalankan AI canggih (LLM) lewat internet publik, tanpa server terpusat? Dengan kata lain: Apakah mungkin membangun alternatif OpenAI, tapi: tanpa dikontrol satu perusahaan berjalan di jaringan yang terbuka dan otonom bisa diakses siapa saja Gradient percaya ini mungkin, tapi perlu pendekatan baru. Apa yang Dibangun Gradient Saat Ini Untuk menjawab tantangan tersebut, Gradient mengembangkan Open Intelligence Stack (OIS), yang mencakup: • Parallax Sistem agar AI bisa dijalankan di banyak komputer secara bersamaan, bukan satu server saja. • Echo Cara melatih AI secara terdistribusi, sehingga proses training bisa dibagi ke banyak mesin. • Gradient Cloud Solusi agar teknologi ini bisa digunakan oleh developer dan perusahaan di dunia nyata. Semua ini adalah fondasi agar AI bisa diskalakan dan tetap terbuka. Kenapa Pendekatan Ini Penting? Jika AI hanya dikembangkan secara terpusat: akses terbatas inovasi terkunci risiko monopoli Dengan pendekatan Gradient: lebih banyak orang bisa ikut membangun AI lebih transparan kecerdasan bisa berkembang bersama Visinya adalah masa depan di mana kecerdasan bisa dirakit, dikembangkan, dan ditingkatkan oleh siapa pun, di mana pun. Singkatnya Gradient bukan sekadar project AI. Mereka sedang membangun fondasi agar AI di masa depan: terbuka bisa dikembangkan bersama tidak dikontrol satu pihak Seperti internet, tapi untuk kecerdasan buatan.
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Parallax
Parallax@tryParallax·
local ai has picked up fast since openclaw dropped. with the latest wave of small capable models, more people are running serious workloads on their own hardware. if you missed this good local ai tutorial from @yacinelearning or want a refresher on how distributed scheduling actually works under the hood, it's worth the rewatch over the weekend!
Yacine Mahdid@yacinelearning

I am continuing my adventure into distributed AI system with the parallax scheduling strat from @Gradient_HQ in this 37min tutorial I go through: - heuristic used to make scheduling tractable - dynamic programming formulation - filling GPU with water - shoving them into shelves

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Gradient
Gradient@Gradient_HQ·
Dobby is a free elf now. Open models, open orchestration, open compute. The agentic RL stack that used to live inside walled gardens just showed up on hardware you can order and frameworks you can fork. No masters needed.
Andrej Karpathy@karpathy

Thank you Jensen and NVIDIA! She’s a real beauty! I was told I’d be getting a secret gift, with a hint that it requires 20 amps. (So I knew it had to be good). She’ll make for a beautiful, spacious home for my Dobby the House Elf claw, among lots of other tinkering, thank you!!

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rw ./
rw ./@gradientintern·
Both of OpenAI’s newest models is supported on day one via @commonstack_ai GPT 5.4 mini is refined for agentic tasks, coding and speed GPT 5.4 nano is optimal for lightweight tasks. Both available now for playground testing or integrated usage.
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rw ./@gradientintern

OpenAI releases GPT 5.4 mini & GPT 5.4 nano targeted in agentic and coding tasks. GPT 5.4 nano xhigh outperforms GPT 5.4 low. Very competitive in pricing. GPT 5.4 mini: > 400k context window > $0.75/1M input & $4.50/1M output GPT 5.4 nano: > $0.20/1M input & $1.25/1M output They serious about focusing their efforts on taking this coding market 👾

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Hexx ./
Hexx ./@HexxRL·
Anyone else trying the dual model run of OpenAI GPT 5.4 Mini & Nano? OpenClaw agent with both in action on ClawBox by @commonstack_ai This will be a workhorse of a lobster 🦞
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rw ./@gradientintern

Both of OpenAI’s newest models is supported on day one via @commonstack_ai GPT 5.4 mini is refined for agentic tasks, coding and speed GPT 5.4 nano is optimal for lightweight tasks. Both available now for playground testing or integrated usage.

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Gradient
Gradient@Gradient_HQ·
Our GTC takeaway is clear: NVIDIA is betting hard on open. - NemoClaw turns OpenClaw into enterprise infrastructure. - Nemotron 4 will be open-sourced. - Nemotron Coalition puts eight labs on a shared open frontier model. This is what we've been building toward. Open infrastructure for open intelligence is the direction the biggest AI companies are taking.
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Asriadi ./
Asriadi ./@NPixel15747·
Kalian tipe Cewe Yang Langsung Pasrah apa Nolak Nolak Dulu Biar Ada Jalan Ceritanya
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Mosss./
Mosss./@AlloMoses69463·
Orang-Orang baru mau mudik, gue udah kelar duluan 🙃
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Hexx ./@HexxRL·
🦞 Thank you all who joined us for a walkthrough for unboxing the claw! We went through how to start up your first agent without coding! 👾 Let’s build with @commonstack_ai & @Gradient_HQ ☄️
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Hexx ./@HexxRL

🦞 Unboxing the Claw All hobbyist and enthusiasts can join use for a walkthrough live! 📌 Location: Builder Hub 🗓️ Time: March 14th 2PM UTC 🤖 Join us to deploy and customize your first agent without coding on Commonstack!

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ara
ara@soutyra·
semoga kita bisa rasain gaji perbulan 3 digit ya
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Asriadi ./
Asriadi ./@NPixel15747·
@ajrmdhn___ Iy bang nyari 5 milyar di usia muda bagus di sana
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Asriadi ./
Asriadi ./@NPixel15747·
Coba Kasih Aku 1 alasan Buat lanjutin Cenblu, Apa Berhenti Sampe di sini aja yah?
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ChartTalk
ChartTalk@ChartTalkX·
Selamat buat kalian semua yang uda gajian dapet extra THR dari Mas Elon. Buat yang belom gajian, gimana guys? Masih lanjut langganan cenblue kah? Dinikmati aja atau mau lebih giat mengejar payout itu?
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arawr
arawr@flllowiee·
Kalian nemu pacar dimana?? Spill dong
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