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Introducing Tiny AutoScientist. Built on AutoScientist's research loop, Tiny AutoScientist helps organizations get more performance from models under 10B parameters. Supersized intelligence. Tiny models.

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11,781 görüntüleme • 2 ay önce •via X (Twitter)

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Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are. Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone.
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Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are. Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone.

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Check out picoCAD by Johan Peitz - picoCAD 2 is out!, a tiny modeller for tiny models. Built on the PICO-8 platform, it focuses on the fun and essentials of lowpoly 3D modeling without the complexity of traditional tools. 💡 #pixelart #lowpoly #gamedev
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Check out picoCAD by Johan Peitz - picoCAD 2 is out!, a tiny modeller for tiny models. Built on the PICO-8 platform, it focuses on the fun and essentials of lowpoly 3D modeling without the complexity of traditional tools. 💡 #pixelart #lowpoly #gamedev

Jettelly Inc.

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8 billion humans deserve an intelligence that doesn't blink when the signal dies. 🧠 Introducing QVAC Psy, our foundational models built on the mathematical stability of Psychohistory. With QVAC MedPsy, our local-first medical health AI model, we’ve proven that superior methodology beats raw parameter count. Our 1.7B & 4B models are delivering expert-level healthcare reasoning on consumer hardware. The "tiny brain" for the next galaxy is here. Fully open-source. Fully sovereign. Learn more
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8 billion humans deserve an intelligence that doesn't blink when the signal dies. 🧠 Introducing QVAC Psy, our foundational models built on the mathematical stability of Psychohistory. With QVAC MedPsy, our local-first medical health AI model, we’ve proven that superior methodology beats raw parameter count. Our 1.7B & 4B models are delivering expert-level healthcare reasoning on consumer hardware. The "tiny brain" for the next galaxy is here. Fully open-source. Fully sovereign. Learn more

Tether

187,482 görüntüleme • 3 ay önce

Marvis-TTS-v0.2 is here 🚀 A local first TTS model capable of realtime performance even on older iPhones that Lucas Newman and I built. What’s new: ✨ Blazing fast — 100M (tiny) & 250M parameter models 🌍 Multilingual — English, French, German 🎭 Enhanced voice cloning — More natural & expressive ⚡ Long-form generation — Up to 90 seconds (4x improvement) Get started today: > pip install -U mlx-audio
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Marvis-TTS-v0.2 is here 🚀 A local first TTS model capable of realtime performance even on older iPhones that Lucas Newman and I built. What’s new: ✨ Blazing fast — 100M (tiny) & 250M parameter models 🌍 Multilingual — English, French, German 🎭 Enhanced voice cloning — More natural & expressive ⚡ Long-form generation — Up to 90 seconds (4x improvement) Get started today: > pip install -U mlx-audio

Prince Canuma

118,469 görüntüleme • 9 ay önce

Wave 9 is here: a frontier model built for software engineering. Introducing our new family of models: SWE-1, SWE-1-lite, and SWE-1-mini. Based on internal evals, it has performance nearing that of frontier models from the foundation labs. Available now, only in Windsurf!
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Wave 9 is here: a frontier model built for software engineering. Introducing our new family of models: SWE-1, SWE-1-lite, and SWE-1-mini. Based on internal evals, it has performance nearing that of frontier models from the foundation labs. Available now, only in Windsurf!

Devin Desktop

743,000 görüntüleme • 1 yıl önce

Vidi Aldiano, an Indonesian singer, musician and songwriter, reacting to Taehyung’s ‘Tiny Desk Korea Performance’. He has a playlist of Taehyung’s songs from Layover and play it on a daily basis. Not only does he praise Taehyung’s voice, he also says Taehyung should perform live more with how brilliant he is on Tiny Desk. He was also amazed by Taehyung’s excellent ability to make the performance and everyone in the performance shines together with him.
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Vidi Aldiano, an Indonesian singer, musician and songwriter, reacting to Taehyung’s ‘Tiny Desk Korea Performance’. He has a playlist of Taehyung’s songs from Layover and play it on a daily basis. Not only does he praise Taehyung’s voice, he also says Taehyung should perform live more with how brilliant he is on Tiny Desk. He was also amazed by Taehyung’s excellent ability to make the performance and everyone in the performance shines together with him.

Taehyung Indonesia 🇮🇩

33,667 görüntüleme • 2 yıl önce

We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓
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We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

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Last week we released Meta Chameleon: a new mixed-modal research model from Meta FAIR. Get the models ➡️ The 7B & 34B safety tuned models we’ve released can take any combination of text and images as input and produce text outputs using a new early fusion approach. While some LLMs have separate image and text encoders or decoders, Chameleon is one of the first publicly released approaches using a single unified architecture. We’re releasing Chameleon models under a research license to help democratize access to foundational mixed-modal models & further research on early fusion. Approach & training details in the paper ➡️
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Last week we released Meta Chameleon: a new mixed-modal research model from Meta FAIR. Get the models ➡️ The 7B & 34B safety tuned models we’ve released can take any combination of text and images as input and produce text outputs using a new early fusion approach. While some LLMs have separate image and text encoders or decoders, Chameleon is one of the first publicly released approaches using a single unified architecture. We’re releasing Chameleon models under a research license to help democratize access to foundational mixed-modal models & further research on early fusion. Approach & training details in the paper ➡️

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Today is Day 11 of 12 Days of Agent Two. Agent Two isn't just Claude under the hood - we get asked this a lot. The truth is - while we use all the state of the art models out there, the Agent's real intelligence comes from its harness: a domain-specific layer built from continuous creative research that shapes how every model is actually used - more about this in the video. But this harness is what makes Agent Two frontier intelligence for creative work - at 4x the speed, and half the price.
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Today is Day 11 of 12 Days of Agent Two. Agent Two isn't just Claude under the hood - we get asked this a lot. The truth is - while we use all the state of the art models out there, the Agent's real intelligence comes from its harness: a domain-specific layer built from continuous creative research that shapes how every model is actually used - more about this in the video. But this harness is what makes Agent Two frontier intelligence for creative work - at 4x the speed, and half the price.

Invideo

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The most honest response about AGI I talked to Olive Song, senior researcher at MiniMax (official), at 9 pm on a Sunday in Beijing. She was waiting on results from the new M2.2 model experiments. We talked RL models that try to hack rewards, why alignment fails in practice, why tiny engineering details matter more than new algorithms, and what open models actually look like in production. AGI came up only at the end. For a reason. Full conversation in the comments.
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The most honest response about AGI I talked to Olive Song, senior researcher at MiniMax (official), at 9 pm on a Sunday in Beijing. She was waiting on results from the new M2.2 model experiments. We talked RL models that try to hack rewards, why alignment fails in practice, why tiny engineering details matter more than new algorithms, and what open models actually look like in production. AGI came up only at the end. For a reason. Full conversation in the comments.

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🚀 Introducing Community Benchmarks on Kaggle! As AI evolves at an unprecedented pace, measuring intelligence requires more than a few AI research labs alone – it requires the imagination and collective expertise of the global community. That’s why we’re launching Community Benchmarks. It lets you build, run, and share custom AI benchmarks that are evaluated on the leading AI models with transparent, reproducible results. Learn more:
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🚀 Introducing Community Benchmarks on Kaggle! As AI evolves at an unprecedented pace, measuring intelligence requires more than a few AI research labs alone – it requires the imagination and collective expertise of the global community. That’s why we’re launching Community Benchmarks. It lets you build, run, and share custom AI benchmarks that are evaluated on the leading AI models with transparent, reproducible results. Learn more:

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MiniMax M2.1 is officially live🚀 Built for real-world coding and AI-native organizations — from vibe builds to serious workflows. A SOTA 10B-activated OSS coding & agent model, scoring 72.5% on SWE-multilingual and 88.6% on our newly open-sourced VIBE-bench, exceeding leading closed-source models like Gemini 3 Pro and Claude 4.5 Sonnet. The most powerful OSS model for the agentic era is here.

MiniMax (official)

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🚨Update! Our new demo is LIVE 🚨 In this demo, we walk through the core features of Intelligence Cubed, a next-generation AI model platform built for research, experimentation, and ownership. 🔹 500+ Research Models Intelligence Cubed has grown from 200+ to 506 models, contributed by our expanding Research Fellow Cohort, including researchers, PhDs, and post-docs from Stanford, CMU, Harvard, MIT, and other top U.S. institutions. 🔹 Model Cards & Research Transparency Each model is linked to its original research paper and includes a detailed model card outlining its purpose, use cases, category, pricing, market traction, reviews, and public ownership percentage. 🔹 1.2M Public-Owned Models We’ve introduced Public-Owned Models, with over 1.2 million models available — all fully documented with research papers and comprehensive model cards. 🔹 Auto Router Not sure which model to use? Our Auto Router analyzes your question and automatically routes it to the most suitable model. In this demo, it selects an LLM Detection Survey model to answer the query. 🔹 Modelverse, Canvas & Workflows Users can explore models in Modelverse, try them instantly, add favorites to cart, and deploy purchased models in Canvas using drag-and-drop to build custom workflows. We also provide professionally curated workflows for immediate hands-on experience. 👉Try Now: #AI #Web3 #AIModel #DeFi #blockchain #LLM #OpenSourceAI #AIxWeb3 #DeAI #IntelligenceCubed
2:08

🚨Update! Our new demo is LIVE 🚨 In this demo, we walk through the core features of Intelligence Cubed, a next-generation AI model platform built for research, experimentation, and ownership. 🔹 500+ Research Models Intelligence Cubed has grown from 200+ to 506 models, contributed by our expanding Research Fellow Cohort, including researchers, PhDs, and post-docs from Stanford, CMU, Harvard, MIT, and other top U.S. institutions. 🔹 Model Cards & Research Transparency Each model is linked to its original research paper and includes a detailed model card outlining its purpose, use cases, category, pricing, market traction, reviews, and public ownership percentage. 🔹 1.2M Public-Owned Models We’ve introduced Public-Owned Models, with over 1.2 million models available — all fully documented with research papers and comprehensive model cards. 🔹 Auto Router Not sure which model to use? Our Auto Router analyzes your question and automatically routes it to the most suitable model. In this demo, it selects an LLM Detection Survey model to answer the query. 🔹 Modelverse, Canvas & Workflows Users can explore models in Modelverse, try them instantly, add favorites to cart, and deploy purchased models in Canvas using drag-and-drop to build custom workflows. We also provide professionally curated workflows for immediate hands-on experience. 👉Try Now: #AI #Web3 #AIModel #DeFi #blockchain #LLM #OpenSourceAI #AIxWeb3 #DeAI #IntelligenceCubed

i³ (Intelligence Cubed)

116,576 görüntüleme • 7 ay önce

Demo of Tether's QVAC running local inference on a mobile device at incredible speed, via llama.cpp + LLAMA 3.2 1B parameters. QVAC is a generalized inference and fine-tuning runtime able to adapt to any device, from smartphones, to laptops and servers. Lots of models being supported already. More to come. No limits. Infinite intelligence. Coming soon
0:53

Demo of Tether's QVAC running local inference on a mobile device at incredible speed, via llama.cpp + LLAMA 3.2 1B parameters. QVAC is a generalized inference and fine-tuning runtime able to adapt to any device, from smartphones, to laptops and servers. Lots of models being supported already. More to come. No limits. Infinite intelligence. Coming soon

Paolo Ardoino 🤖

42,117 görüntüleme • 1 yıl önce

🚨SCIENTISTS CREATE LIVING ROBOTS THAT CAN REPRODUCE In a sci-fi breakthrough, researchers have developed xenobots - tiny, self-healing, programmable organisms built from living frog cells. Designed by AI and assembled by biologists, xenobots replicate using collective intelligence, evolving body shapes that enhance reproduction. Future applications include clearing microplastics from oceans, delivering personalized medicine, and even unclogging arteries. Source: hashem.alghaili on Instagram
1:29

🚨SCIENTISTS CREATE LIVING ROBOTS THAT CAN REPRODUCE In a sci-fi breakthrough, researchers have developed xenobots - tiny, self-healing, programmable organisms built from living frog cells. Designed by AI and assembled by biologists, xenobots replicate using collective intelligence, evolving body shapes that enhance reproduction. Future applications include clearing microplastics from oceans, delivering personalized medicine, and even unclogging arteries. Source: hashem.alghaili on Instagram

Mario Nawfal

413,747 görüntüleme • 1 yıl önce

This past Saturday, the Exploratorium hauled its NOAA research buoy out of San Francisco Bay for its annual Bay Day cleaning. Volunteers got hands-on with a year's worth of marine growth coating the beacon — barnacles, oysters, algae and other invertebrates. Under microscopes, visitors examined the tiny hitchhikers while learning how the buoy tracks everything from sea level rise to climate change.
0:35

This past Saturday, the Exploratorium hauled its NOAA research buoy out of San Francisco Bay for its annual Bay Day cleaning. Volunteers got hands-on with a year's worth of marine growth coating the beacon — barnacles, oysters, algae and other invertebrates. Under microscopes, visitors examined the tiny hitchhikers while learning how the buoy tracks everything from sea level rise to climate change.

SFGATE

15,977 görüntüleme • 12 gün önce

You really can just do things! Use *any* Hugging Face space as a MCP server along with your Local Models! 🔥 Here in we use Qwen 3 30B A3B with ggml llama.cpp and Hugging Face tiny agents to create images via FLUX powered by ZeroGPU ⚡ It's quite a bit crazy to see local models be capable of so much and just be able to understand/ infer from tool description! There's a lot of potential here in automating video generation workflows, content curation and a lot more.. Bonus: you can plug any other Inference Provider if you don't want to run locally too! npx @ huggingface/tiny-agents run [TASK] oh, and we provide both typescript and python client! 🐐
2:33

You really can just do things! Use *any* Hugging Face space as a MCP server along with your Local Models! 🔥 Here in we use Qwen 3 30B A3B with ggml llama.cpp and Hugging Face tiny agents to create images via FLUX powered by ZeroGPU ⚡ It's quite a bit crazy to see local models be capable of so much and just be able to understand/ infer from tool description! There's a lot of potential here in automating video generation workflows, content curation and a lot more.. Bonus: you can plug any other Inference Provider if you don't want to run locally too! npx @ huggingface/tiny-agents run [TASK] oh, and we provide both typescript and python client! 🐐

Vaibhav (VB) Srivastav

39,113 görüntüleme • 1 yıl önce

Today we are introducing Tara. Biological datasets are a source of insights and a means to train biological AI models. As the ability to reason at scale emerges, they take on a new role: the ground truth for testing what reasoning models produce, and the environment in which those models operate, get feedback, and improve. Tara, our autonomous research agent, is embedded in our ever-expanding datasets, lab-generated and synthetic, and built to test and evolve the hypotheses frontier models generate, matching the pace at which they produce new ideas. By keeping those models grounded in a vast space of high-precision biological data, we believe we can compound biological reasoning and close the impedance mismatch between hypothesis generation and validation.
4:03

Today we are introducing Tara. Biological datasets are a source of insights and a means to train biological AI models. As the ability to reason at scale emerges, they take on a new role: the ground truth for testing what reasoning models produce, and the environment in which those models operate, get feedback, and improve. Tara, our autonomous research agent, is embedded in our ever-expanding datasets, lab-generated and synthetic, and built to test and evolve the hypotheses frontier models generate, matching the pace at which they produce new ideas. By keeping those models grounded in a vast space of high-precision biological data, we believe we can compound biological reasoning and close the impedance mismatch between hypothesis generation and validation.

Nima Alidoust

29,426 görüntüleme • 1 ay önce

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)
4:07

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)

Prince Canuma

123,544 görüntüleme • 1 yıl önce