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Hy4 preview is now available on WorkBuddy. 770B total, 49B active, 1M context. Open weights. Another strong addition to the model stack. More choice, more room to build.

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WorkBuddy

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19,991 просмотров • 2 дней назад •via X (Twitter)

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🚨 Tencent just dropped a serious open-source AI contender. Meet Hy4 Preview built for productivity, coding & agentic workflows. 770B total parameters. 49B active. 1M+ token context. But the numbers aren’t the most interesting part. Hy4 Preview is designed to handle what actually matters: planning, tool use, coding, research, document workflows and complex multi-step tasks. In Tencent’s internal blind evaluation across 203 engineering tasks, it scored 2.99/4, edging out GLM 5.3 (2.92) and Kimi K3 (2.94). From full-stack development and research to workplace automation and even game development, this looks less like “just another LLM” and more like a model built to get real work done. Worth watching 👀 🔗 Try it with WorkBuddy: Tencent Hy Tencent AI WorkBuddy
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🚨 Tencent just dropped a serious open-source AI contender. Meet Hy4 Preview built for productivity, coding & agentic workflows. 770B total parameters. 49B active. 1M+ token context. But the numbers aren’t the most interesting part. Hy4 Preview is designed to handle what actually matters: planning, tool use, coding, research, document workflows and complex multi-step tasks. In Tencent’s internal blind evaluation across 203 engineering tasks, it scored 2.99/4, edging out GLM 5.3 (2.92) and Kimi K3 (2.94). From full-stack development and research to workplace automation and even game development, this looks less like “just another LLM” and more like a model built to get real work done. Worth watching 👀 🔗 Try it with WorkBuddy: Tencent Hy Tencent AI WorkBuddy

RAVI KUMAR SAHU

63,568 просмотров • 2 дней назад

Codex can now run Hy4 preview! Tencent dropped it today. 770b total but only 49b active per token, 1m context, apache 2.0. A frontier model you can actually download. Their own blind eval put it ahead of GLM 5.3 and Kimi k3 on engineering work, 163 experts scoring 203 tasks. 65.7 on swe bench pro. Hy4 now sits in the picker next to sol 5.6. OpenCode and Command code already serves it on the $10 plan, so no api key, no per token metering, and my native models never moved. Here is how you set it up:
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Codex can now run Hy4 preview! Tencent dropped it today. 770b total but only 49b active per token, 1m context, apache 2.0. A frontier model you can actually download. Their own blind eval put it ahead of GLM 5.3 and Kimi k3 on engineering work, 163 experts scoring 203 tasks. 65.7 on swe bench pro. Hy4 now sits in the picker next to sol 5.6. OpenCode and Command code already serves it on the $10 plan, so no api key, no per token metering, and my native models never moved. Here is how you set it up:

Ziwen

18,451 просмотров • 3 дней назад

Tencent just released Hy4 Preview: a 770B-parameter open-source model with 49B active parameters and a 1M-token context window. The most interesting part is its agentic research capability. Tencent says Hy4 coordinated several Codex sessions in parallel, evaluated their results and adjusted the research direction, outperforming Codex working alone across eight benchmarks. Hy4 is aimed at long-horizon coding, multi-file office work and scientific research. In sum: a solid, good release. A few months ago this would be absolute sota.
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Tencent just released Hy4 Preview: a 770B-parameter open-source model with 49B active parameters and a 1M-token context window. The most interesting part is its agentic research capability. Tencent says Hy4 coordinated several Codex sessions in parallel, evaluated their results and adjusted the research direction, outperforming Codex working alone across eight benchmarks. Hy4 is aimed at long-horizon coding, multi-file office work and scientific research. In sum: a solid, good release. A few months ago this would be absolute sota.

Chubby♨️

49,130 просмотров • 4 дней назад

I've been testing Hy4 preview on real world productivity and coding tasks, and one thing stood out immediately: It does more than generate an answer. It breaks complex requests into clear steps, retains context, and follows detailed instructions across longer workflows. That focus on practical execution makes sense. Tencent developed the training data with experts across software engineering, gaming, finance, and security, then co designed the model with products like WorkBuddy. For me, the difference was especially noticeable in coding, document analysis, and planning tasks. The entire process felt more reliable from start to finish. Pricing is also surprisingly accessible: $0.834 per 1M input tokens $2.501 per 1M output tokens $0.042 per 1M cache hits Hy4 preview is free to experience on WorkBuddy for the next two weeks. Tencent Hy Tencent AI WorkBuddy
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I've been testing Hy4 preview on real world productivity and coding tasks, and one thing stood out immediately: It does more than generate an answer. It breaks complex requests into clear steps, retains context, and follows detailed instructions across longer workflows. That focus on practical execution makes sense. Tencent developed the training data with experts across software engineering, gaming, finance, and security, then co designed the model with products like WorkBuddy. For me, the difference was especially noticeable in coding, document analysis, and planning tasks. The entire process felt more reliable from start to finish. Pricing is also surprisingly accessible: $0.834 per 1M input tokens $2.501 per 1M output tokens $0.042 per 1M cache hits Hy4 preview is free to experience on WorkBuddy for the next two weeks. Tencent Hy Tencent AI WorkBuddy

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MagenticLite's models are now fully open source. MagenticBrain and Fara 1.5, previously available on Microsoft Foundry, are live on Hugging Face with open weights. The app, the harness, and every model in the stack are now open.
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MagenticLite's models are now fully open source. MagenticBrain and Fara 1.5, previously available on Microsoft Foundry, are live on Hugging Face with open weights. The app, the harness, and every model in the stack are now open.

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Tencent just dropped Hy4 preview, and it's officially open source now. 770B total params, 49B active, 1M+ token context. three major releases in six months, and this one just landed in the top tier of open source models. → Built through Tencent's co-design loop: training data shaped with experts across software engineering, gaming, finance, and security, then built directly alongside products like WorkBuddy → In a blind test with 163 internal experts across 203 engineering tasks, it scored 2.99/4, ahead of GLM 5.3 at 2.92 and Kimi K3 at 2.94 → Benchmarks put it clearly past GLM 5.2 and neck and neck with GLM 5.3 → Pricing stayed low: $0.834/M input, $2.501/M output, $0.042/M cache hits I asked it to write a weekly status update email template for a team lead, then generate a filled-out example with placeholder projects, and export both as Word docs. one prompt, no follow-up, and it handed back both files clean and ready to send. free to try for the next two weeks through WorkBuddy: Tencent Hy Tencent AI WorkBuddy
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Tencent just dropped Hy4 preview, and it's officially open source now. 770B total params, 49B active, 1M+ token context. three major releases in six months, and this one just landed in the top tier of open source models. → Built through Tencent's co-design loop: training data shaped with experts across software engineering, gaming, finance, and security, then built directly alongside products like WorkBuddy → In a blind test with 163 internal experts across 203 engineering tasks, it scored 2.99/4, ahead of GLM 5.3 at 2.92 and Kimi K3 at 2.94 → Benchmarks put it clearly past GLM 5.2 and neck and neck with GLM 5.3 → Pricing stayed low: $0.834/M input, $2.501/M output, $0.042/M cache hits I asked it to write a weekly status update email template for a team lead, then generate a filled-out example with placeholder projects, and export both as Word docs. one prompt, no follow-up, and it handed back both files clean and ready to send. free to try for the next two weeks through WorkBuddy: Tencent Hy Tencent AI WorkBuddy

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Chinese labs aren't just dropping model weights anymore, they're building full ecosystems. Z.ai's ZCode + GLM 5.2 = native IDE, 1M context, agentic workflows, and now dSpark speculative decoding. The open model platform war is here. 👇
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Chinese labs aren't just dropping model weights anymore, they're building full ecosystems. Z.ai's ZCode + GLM 5.2 = native IDE, 1M context, agentic workflows, and now dSpark speculative decoding. The open model platform war is here. 👇

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Securely experiment and build your own specialized agents, as the 671-billion-parameter DeepSeek-R1 model is now available as an NVIDIA NIM microservice in preview on Learn more ➡️
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Minimax M3 is excellent at SVG generation, reaching close to Gemini 3.5 Flash levels and beating Opus 4.7 on SVG-Bench. With 1M context, native multimodality, strong agentic/coding ability and open weights coming soon, the closed-source moat is thinning fast. Full Video:
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Minimax M3 is excellent at SVG generation, reaching close to Gemini 3.5 Flash levels and beating Opus 4.7 on SVG-Bench. With 1M context, native multimodality, strong agentic/coding ability and open weights coming soon, the closed-source moat is thinning fast. Full Video:

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Big day for open source. MiniMax Music 3 is undeniably a state of the art open weights Music Generation model and a real alternative to Suno. My favorite part about open weights: the best is yet to come. Once the community starts playing with the model and training LoRAs, this model only gets better and allows for more control.

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Chinese labs are now competing with each other to build the strongest open-weight model. > DeepSeek started the domino effect > Qwen kept improving across coding, reasoning and long context > GLM, MiniMax and Moonshot joined the race > Kimi K3 pushed it to 2.8T parameters and a 1M context window > now Alibaba is answering with Qwen3.8 > 2.4T parameters > full open-weight release coming soon > Alibaba says it is second only to Fable 5 Qwen3.8 may be the model that brings open-weight AI closest to Claude Fable 5.
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Chinese labs are now competing with each other to build the strongest open-weight model. > DeepSeek started the domino effect > Qwen kept improving across coding, reasoning and long context > GLM, MiniMax and Moonshot joined the race > Kimi K3 pushed it to 2.8T parameters and a 1M context window > now Alibaba is answering with Qwen3.8 > 2.4T parameters > full open-weight release coming soon > Alibaba says it is second only to Fable 5 Qwen3.8 may be the model that brings open-weight AI closest to Claude Fable 5.

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Krea 2 Open-Source is now available on fal The most aesthetic open-source image model, released with open weights Turbo delivers fast, polished text-to-image at low step counts RAW serves as the malleable base checkpoint for LoRA training
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Krea 2 Open-Source is now available on fal The most aesthetic open-source image model, released with open weights Turbo delivers fast, polished text-to-image at low step counts RAW serves as the malleable base checkpoint for LoRA training

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hy4 preview is definitely not a model we should sleep on same prompt for each model, one-shot. i would have expected the gap between both to be bigger but Hy4 Preview still comes close (it's twice the size but still). very huge leap since Hy3 curious which one you'd pick before checking the labels
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hy4 preview is definitely not a model we should sleep on same prompt for each model, one-shot. i would have expected the gap between both to be bigger but Hy4 Preview still comes close (it's twice the size but still). very huge leap since Hy3 curious which one you'd pick before checking the labels

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22,905 просмотров • 1 день назад

CLAUDE CODE IS NOW FREE AND YOU CAN BUILD AN ENTIRE AI CODING SYSTEM WITH 1M CONTEXT, AGENT OS AND OBSIDIAN MEMORY WITHOUT PAYING FOR ANY OF IT. The stack gets smarter over time and costs you nothing to run.
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CLAUDE CODE IS NOW FREE AND YOU CAN BUILD AN ENTIRE AI CODING SYSTEM WITH 1M CONTEXT, AGENT OS AND OBSIDIAN MEMORY WITHOUT PAYING FOR ANY OF IT. The stack gets smarter over time and costs you nothing to run.

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Webflow Cloud is now available to everyone. Back in May, when we announced the private beta of Webflow Cloud, the response was overwhelming. Developers, marketers, and agencies alike were excited by the possibilities. Now, we’re thrilled to share that Webflow Cloud is available to everyone. Webflow Cloud is the newest addition to our Website Experience Platform, enabling you to build and deploy full-stack web applications and dynamic experiences, right alongside your Webflow site, on our native hosting infrastructure powered by Cloudflare. Now, anyone can build: 💻 Full-stack, headless apps and integrations – From AI-powered experiences to complex storefronts 📍 Programmatic SEO at scale – Perfect for local landing pages and long-tail content campaigns 🔧 Custom internal tools and admin interfaces – Think dashboards, CRMs, and more To learn more, visit:

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The legend rolls on 🇺🇸 We're thrilled to announce a special addition to American Truck Simulator, the Kenworth Truck Co. W900 Legacy Edition, honoring a true icon of the open road. 🚛 Now available in-game. Read more:

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WOW: Kimi K3 just killed the AI subscription era 🇨🇳 On July 27, Moonshot publishes the full K3 weights under a modified MIT license. ▫️ 2.8 trillion parameters ▫️ 1M token context ▫️ Open weights, yours to run "The frontier becomes a file." The closed labs charge you monthly for access. Moonshot just made the frontier a download. Does open weight end the subscription model, or do the big labs still win on polish?

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94,908 просмотров • 1 месяц назад