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Tiezhen WANG
@Xianbao_QIAN
Helping ecosystem to grow on vLLM, ex-Head of APAC ecosystem @huggingface. Ex-Googler on TFLite/micro. Ideas on my own. Interested in future tech. DM open
2.9K Following    14.1K Followers
Got a chance to visit the @deepseek_ai office. The team is cooking!
China will restrict frontier model export Open source is one way to get exempted
Step 5 Preview, currently ranking as the 2nd most used model this week on @OpenRouter is now open sourced Let me know if you run into any issues running this model
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Step 5 Preview is now open weights. BF16 and FP8 weights are live on Hugging Face and ModelScope, together with our technical blog. • Sparse MoE: 600B total, 27B active per token • 1M-token context window • Native text and vision input • Built for long-horizon agentic work: coding, software engineering, professional knowledge work and finance Frontier intelligence, open weights. Build what's next. Hugging Face: ModelScope: GitHub:
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Wow @bfl_ai is back. Run it on vLLM omni now with Is it going to make open source image models great again and put more pressures on GPT image?
FLUX 3 Image Klein is here. Open Weights with the quality of a large frontier model. Customizable and fast. 5.6B parameters and runs on a single consumer GPU. Native 4K, bounding boxes, and pixel-perfect editing.
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I smell something... how many models are going to be released this week. Take a guess!
Work like a boss!
Introducing Kylon: The first company harness for your humans, agents and tools. Whether you’re using Codex, Claude, Devin, Hermes, Gemini CLI, OpenClaw, Muse, Instinct, Grok Bot, Dots, Perplexity Computer, Cursor, Antigravity, Microsoft Autopilot, Amp, Droid, Kiro, Cline, OpenCode, Replit Agent, Lovable, v0, Gmail, Slack, Apollo, Supabase, Apify, Treg, Neon, Vercel, Databricks, Novita, RadixArk, GitHub, Seedance, Fish Audio, Plaud, OpenRouter, Gemini, Google Sheets, TikTok Shop, Outlook, Google Drive, Instagram, Airtable, Google Calendar, Asana, HubSpot, Corgi, SharePoint, Google Tasks, Notion, Google Workspace, Telegram, LINE, Zoho Mail, Meta Ads, Google Search Console, Fathom, ClickUp, Reddit, Granola, Google Docs, OneDrive, tl;dv, Amplitude, Dropbox, YouTube, Ahrefs, Xero, HighLevel, Google Analytics, Google Slides, Monday, QuickBooks, ElevenLabs, Linear, PostHog, LinkedIn, Runway, Zoho Bigin, Stripe, Exa, Cal_com, Box, Google Meet, TikTok, Wise, Mercury, Deel, Replit, Resend, Zoom, Fireflies, Typeform, Canva, Facebook, Google Admin, Hostinger, Google Maps, Retell AI, UptimeRobot, Google Photos, Excel, Cloudflare, Beehiiv, Vapi, 1Password, RunPod, Unipile, Read AI, Figma, Microsoft Teams, Trello, Salesforce, Jira, Confluence, Miro, Coda, Todoist, Basecamp, Wrike, Zendesk, Intercom, Freshdesk, ServiceNow, Gorgias, Mailchimp, ActiveCampaign, MailerLite, SendGrid, Postmark, Customer_io, Gong, Clay, Greenhouse, FreshBooks, Zoho Books, Brex, Ramp, PandaDoc, Google Ads, Microsoft Ads, Pinterest Ads, Semrush, Moz, Mixpanel, Google Tag Manager, Microsoft Clarity, Tableau, Metabase, Snowflake, Google BigQuery, ClickHouse, Wix, Contentful, Sanity, Bubble, Make, GitLab, Bitbucket, Sentry, PagerDuty, Grafana, New Relic, Docker Hub, DigitalOcean, Render, Firebase, Prisma, Algolia, Cloudinary, LaunchDarkly, Postman, Midjourney, Veo, GPT-Image2, NanoBanana, Flux, Kling, MiniMax, Replicate, HuggingFace, DeepSeek, Mistral AI, Ollama, Firecrawl, Eventbrite, Webex, Toggl, Harvest, Tailscale, Mural, Discord, TickTick, Calendly, Attio, Higgsfield, Square, Wispr Flow, Readwise, Bright Data, Google Places, FastMoss, PageSpeed Insights, Kalodata, Cerebras, SerpApi, DataForSEO… Kylon enables them to work better, together.
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Just curious how hard is it to get a GPU on spot now?
Best talent hire ever! @alexandr_wang
My conversation with @alexandr_wang, chief AI officer of Meta. 0:00 The vision behind Muse 1:32 Discovering the potential of personal AI agents 3:34 Three years of therapy in one AI session 5:46 Building Muse in 7 months 9:16 Why Meta bet on personal AI 16:51 Mark Zuckerberg's obsession with improving products 20:15 How Meta knew Muse was ready to launch 23:32 Why great products need a single point of view 25:56 Making Meta cool again with memes 34:38 Building trust with AI agents 38:43 The future of human ambition 45:22 The call from Mark Zuckerberg that changed everything 52:13 Leaving Scale AI for Meta 55:19 Rebuilding Meta's AI lab from scratch 58:13 From founder to coach 1:05:55 The future billionaires at Alexandr's 19th birthday party 1:08:04 Diamond mining vs. building skyscrapers 1:09:21 Why Alexandr has more than 200 direct reports Includes paid partnerships.
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The ultimate use case for Jev style model is on device Checkout and see
音视频的实时决策模型, 场景太丰富了,搞了几个场景 demo 让大家感受下。 会带来一波 VoiceAgent 以及 具身智能场景的落地。
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Nvidia: The king of US open source!
🚨 BREAKING: NVIDIA in talks to acquire or acqui-hire Reflection AI, last valued at $25 BILLION >be Reflection AI >backed by the Pentagon and the DOE >nvidia one of its largest shareholders ($800M invested) >Jensen: “we need a domestic open-weight ecosystem” >sign $150M/month compute deal with SpaceX >training on nvidia gb300s at colossus 2 >3 months later: drops "Beam" first open-weight model on par with GLM-5.2 >White House now sees it as the US answer to chinese open-weight labs >deal could close in weeks ITS HAPPENING
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How many models are going to be released next week 😂
可以确定的是我们马上会迎来一堆中国模型的发布🚀
Check out this blog if you want to know more about @nvidia Vera Rubin and how does that work:
Here is th eQwen-Image-2.1 official 8 steps turbo model. I know vllm-omni has been doing a lot of work to enable faster inference, but not sure about how it has been doing elsewhere. What's the fastest end to end solution now?
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Goat! And I believe @deepseek_ai performance is even better
Data storage is no longer a cost center, it's a revenue center in this new era.
💡Our view: RSI is a systems engineering problem, not just a model problem. Progress depends on the environment a research agent works in: what resources it can call, what it can change, and how it runs experiments. That environment should reflect real production workflows and be easy for agents to use. At @Evolvent_AI, we built RSIGym around Everything as a Service. Agents can call established research services and iterate on data, training settings, and harness code. We also introduce RSI-Index to measure how well frontier agents jointly improve a target model’s weights and harness. Across 6 research agents and 5 benchmarks, Opus 5 leads at 0.4809. 🧵 We’re releasing the code, experiment configurations, research trajectories, and evaluation logs. Try your own improvement methods with RSIGym. 🌐 Website: 💻 GitHub: 📄 arXiv:
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Wow Mistral is back to open source
Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.
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Excellent text writing by the new @Alibaba_Qwen image 2.1 - qwen research license - vllm omni / diffuseres ready - both text 2 image and image edit in the same model Give it a try at:
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Oh. Interesting. This is becoming diplomatic. There is an official reply from the department of commerce. TL;DR based on the messages below - Distillation is reciprocal. US companies are distilling too. - Region limitation is an abuse of competitive advantage position. - US monopoly on computing power and data will only result in a win for the U.S. alone not a shared victory for humanity. wdyt? Original message 商务部就美发布中国人工智能企业对美蒸馏活动相关网络安全公告答记者问 问:美东时间9月8日,美国家安全局、网络安全与基础设施安全局、联邦调查局联合发布公告,指责中国人工智能企业对美开展“工业规模”蒸馏,获取美前沿模型能力,并向美企提出相关防御措施建议。请问中方对此有何评论?答:我们注意到有关情况。中方认为,美方所谓中国人工智能企业从事“工业规模”蒸馏美模型的指控,于事无凭,于法无据。美方此举,是将蒸馏这一业内正常的技术和商业问题政治化、工具化,并在实践中搞双重标准。美方相关公告,是其在人工智能领域推行科技霸权、搞算力垄断,打压竞争的又一明证。中方对此坚决反对。蒸馏是人工智能领域各个模型间互相学习的通行做法,本质是中性技术手段,包括美企在内的全球模型企业都在用。这种技术手段可以帮助模型提升学习效率,实现人类知识的更高效利用,对各国发展人工智能产业、释放人工智能技术潜力、弥补发展鸿沟、更广泛惠及发展中国家和社会大众有积极意义。美方做法是典型的双重标准。对于人工智能,中方鼓励开源开放、合作共享,中方开源模型向包括美企在内的全球企业开放,为相关模型研发提供便利。美企有关模型研发报告也披露,其大量蒸馏中国模型。反观美方,多次单方面指责中国企业从事“工业规模”蒸馏,将行业通行做法抹黑为攻击行为,既反映了美方的焦虑,又体现了双重标准。美方做法是典型的以打击蒸馏为名,行产业垄断之实。美方由安全部门发布公告,是将个别企业和资本利益与国家安全相捆绑,动用国家强权机构干涉正常商业活动。我们注意到,美个别人工智能企业滥用竞争优势地位,在用户协议中设置宽泛的地域限制等霸王条款。美方相关蒸馏指控,有为这些霸王条款背书之嫌。美方做法是典型的动用国家力量维护科技霸权和算力垄断,打压竞争。今年以来,美行政、立法机关频频发出对中国企业蒸馏行为的制裁打压威胁,其目的是打压竞争,维护美在算力、数据方面的垄断,只能美国独赢,不能人类共赢,将本应公开公平获取的全球人工智能资源变成少数企业的独占资源,阻止他国参与人工智能创新成果的普惠共享。当前,大模型产业正处于技术迭代、风险迭发、成长发展的关键时期。中美作为大国,应以积极负责态度处理人工智能领域面临的挑战和风险。两国元首已同意开展人工智能政府间对话,中方愿意以平等互利、合作共赢原则,通过对话与美方开展建设性和专业的讨论。但如果美方以打击蒸馏为名,实施遏压中国人工智能企业的行动,中方必将坚决采取措施予以反制。希望美方与中方相向而行,通过对话和沟通管控风险,推动人工智能产业惠及全球。
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