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NFT maxi, @AlfaDAO_, Data Science & AI/ML engineer

Joined March 2021
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love jev, but upset it - isn't open source? - it lack vision capability? We fixed all of that, introducing SimpleJev.ai A fully open source library which takes any HF model and Jev-ify it, with an API endpoint Now on github, and live in production at @FeatherlessAI
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“Our bet for the future is a customized model for every company.” Our CEO Eugene today on stage at AMD Advancing AI 2026. Come find us at the featherless AI booth!
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Today we're announcing our $20 M Series A, co-led by @AMDVentures and @AirbusVentures, with @BMWiVentures, @Kickstartph, @PanacheVC, and @Wavemaker_VC. We're building the neutral layer for open models — so the future doesn't run on a few labs, a few chips, or a few clouds. THE FUTURE CAN’T BE BLOCKED. Any Model. Anywhere. Anyone. Yours.
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🪶 Kimi K2 Thinking just dropped on Featherless @Kimi_Moonshot's reasoning model crushes benchmarks: - 44.9% on Humanity's Last Exam (new SOTA) - 60.2% on BrowseComp (2x human performance) - 71.3% on SWE-Bench Verified - Chains 200-300 tool calls autonomously The most capable reasoning model, now with flat-rate pricing. Try it 👇
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miraged.eth retweeted
f*ck it, i'm leaking my FULL notion library you get access to all of my resources: - over 200 prompts for ChatGPT, Claude and Grok 4 - n8n automations for cold outreach and SEO - blueprints to go from $0 to $10k/month - 1,000 perfect copywriting swipe file basically everything you need to make money with AI reply "LEAK" + retweet and i'll send it over (must be following so i can dm) i should never be giving this away for FREE, that's why i'll delete in 24hrs
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📷 The open-source revolution just got a massive upgrade. @Kimi_Moonshot: 1 trillion parameters, MIT licensed, and specifically designed for agentic tasks. Moonshot AI just proved that cutting-edge AI doesn't need to be locked behind proprietary walls. Experience it on Featherless👇
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Come celebrate Featherless's monthiversary with @huggingface in Vancouver! As the Featherless team will be at @icmlconf this year we are hosting a gathering. Join us for made-to-order tacos and refreshments in addition to engaging conversations on open-source AI in one of Vancouver's best summer patios! RSVP below 👇
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We're still reliving the panel we had in Paris! What an amazing gathering, thanks to all attendees. A special thank you to @tensorwave, @SemiAnalysis_ and @huggingface for the interesting conversations on open source AI! We hope to see all of you soon!
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New comprehensive guide: Prompt Engineering and Context Engineering for modern AI system design 🪶 Covers the evolution from individual prompts to architecting entire information ecosystems, introduces the CLEAR framework for structured prompt construction, and explores advanced RAG patterns and multi-agent architectures. Check the guide 👇
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⭐The Year of Inference is here. Featherless is now an official inference provider on Hugging Face, unlocking 6,700+ LLMs for anyone to run, eval, and deploy instantly. It all starts with accessibility. From DeepSeek to Mistral, LLaMA to Qwen — powerful LLMs are one click away. We believe the future of AI is shaped by the long tail: personalized, specialized models tuned to real people’s needs. To get there, inference must be open, affordable, and usable by all. Whether you're fine-tuning, prototyping, or scaling a product, this moment is for you. 🫱🏻‍🫲🏻Let’s make inference the easiest part of building with AI. 📢 Share this so more builders know what’s now possible. Excited to be partnering with @ClementDelangue @julien_c @reach_vb @SimonBrandeis & @huggingface team to take this to the next level!
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🪶Devstral-Small-2025 is now available on Featherless AI. Try out the new top open source model on the SWE-bench by @MistralAI and @allhands_ai focused on agentic coding! Check out the model:
Devstral is the number one model on @huggingface today 🎉 Thanks everyone for the support! huggingface.co/models
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⚡GLM-4 is live on Featherless for anyone to access! GLM-4: 9B GLM-4: 32B GLM-4-0414 It's trained on 20+ languages. Simply pick a model for creative writing, engineering code, Artifact generation, search-based Q&A, report generation and more below 👇🏻 featherless.ai/model-familie…
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“Why do most AI labs favor scaling over architecture research?” Architectural experimentation is prohibitively expensive. It’s high risk. It's an uncertain reward endeavor. Until RADLADS cut the cost by 250x. (blog and paper links below)🧵
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Ever wondered which anime character to pick as your new AI pseudonym profile picture? Introducing the Featherless Waifu Blender 3000! waifu.featherless.ai/ Results guaranteed... to be results. Blend yours now!
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❗️Attention is NOT all you need ❗️ Using only 8 GPU's (not a cluster), we trained a Qwerky-72B (and 32B), without any transformer attention With evals far surpassing GPT 3.5 turbo, and closing in on 4o-mini. All with 100x++ lower inference cost, via RWKV linear scaling
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Excited to announce that Qwen's impressive QwQ-32B reasoning model is now available on featherless.ai! This 32B parameter model rivals cutting-edge reasoning models like DeepSeek-R1. Try it today for enhanced math and coding capabilities!
Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1. Blog: qwenlm.github.io/blog/qwq-32… HF: huggingface.co/Qwen/QwQ-32B ModelScope: modelscope.cn/models/Qwen/Qw… Demo: huggingface.co/spaces/Qwen/Q… Qwen Chat: chat.qwen.ai This time, we investigate recipes for scaling RL and have achieved some impressive results based on our Qwen2.5-32B. We find that RL training con continuously improve the performance especially in math and coding, and we observe that the continous scaling of RL can help a medium-size model achieve competitieve performance against gigantic MoE model. Feel free to chat with our new models and provide us feedback!
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miraged.eth retweeted
Introducing LLM Chess Arena ♟️ - a sandbox platform where open-source models compete in chess: ⚔️ Watch DeepSeek & other open-models battle eachother 📖 Fully open-source repo 👀 Observe reasoning of each move 🪶 LLMs powered by @FeatherlessAI
I quite like the idea using games to evaluate LLMs against each other, instead of fixed evals. Playing against another intelligent entity self-balances and adapts difficulty, so each eval (/environment) is leveraged a lot more. There's some early attempts around. Exciting area.
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miraged.eth retweeted
Inspired by @dzhng and deep-research I bring you - DeepDive, a web interface for deep-research but with DeepSeek-R1 support (& tons of other open-source models such as Qwen2.5) instead! Fully open-source. Get the same capability as Deep Research but without OpenAI?
Introducing deep-research - my own open source implementation of OpenAI's new Deep Research agent. Get the same capability without paying $200. You can even tweak the behavior of the agent with adjustable breadth and depth. Run it for 5 min or 5 hours, it'll auto adjust.
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DeepSeek-R1 by @deepseek_ai achieves performance comparable to OpenAI o1 across math, code and reasoning tasks. A SOTA open-source model with open reasoning tokens. Now available for premium users on featherless.ai
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🐋 the rise of DeepSeek against the AI giants Here is how david slayed goliath by being prudent on spending, working hard, and iterating in the background. By specializing in .... - Mixture-of-Experts - And GPU compute ( a thread )
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