Deep Fried Net @DeepFriedNet
Human in the loop Joined February 2017-
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Visual Story-Writing. While you write, our word processor visualizes the timeline, world map, and character relationships. Editing these visuals updates the story (e.g. drag a character on the map to move them). This summarizes our #UIST2025 paper. #HCI #LLMs #AI Thread 🧵 (1/8)
Check out what you can do when you mix Gemini's world knowledge with the ability to show things visually. Multimodal communication abilities unlock new use cases!
Made a walkthrough vid for Magenta RealTime “Audio Injection”! The notebook takes ~10m to spin up, but totally worth it for the surreal experience 🎤💻🎧⁉️
LongSplat Robust Unposed 3D Gaussian Splatting for Casual Long Videos
National security reframe (in order to get funding to solve the problem) - could an adversary be performing a death by 1000 spam calls attack to agitate and distract an entire population (of engineers)? 😅
National security reframe (in order to get funding to solve the problem) - could an adversary be performing a death by 1000 spam calls attack to agitate and distract an entire population (of engineers)? 😅
🚀 GLiNER x SmolLM: a new joint encoder-decoder architecture 🚀 We are excited to release a new kind of GLiNER model built with the mantra "you do the same things only once." Built on top of DeBERTa + @huggingface SmolLM2 — full details below 👇
Realtime interactive generative models FTW! Announcing a new 🌊 of details and features for Magenta RealTime, the open weights live music AI model from GDM! * Live Jamming with audio input 🎤🎸🎵 * Personalize your own models 🔧 * Tech report 📜 Links below in the 🧵...
LMStudio are using the upstream ggml implementation which is significantly better and well optimized. Looking at ollama's modifications in ggml, they have too much branching in their MXFP4 kernels and the attention sinks implementation is really inefficient. Along with other…
LMStudio are using the upstream ggml implementation which is significantly better and well optimized. Looking at ollama's modifications in ggml, they have too much branching in their MXFP4 kernels and the attention sinks implementation is really inefficient. Along with other…
There's a new tiny TTS model in town: Kitten TTS! 🐱 With just 15M parameters (<25 MB), it delivers impressive quality for its size, and can even run in real time without a GPU. So, I created a web demo for it: featuring text normalization, chunking, and real-time playback. 🤗
There's a new tiny TTS model in town: Kitten TTS! 🐱 With just 15M parameters (<25 MB), it delivers impressive quality for its size, and can even run in real time without a GPU. So, I created a web demo for it: featuring text normalization, chunking, and real-time playback. 🤗 https://t.co/wjFV5vvAjY
"Infinito Particular"
In a few years, on a cool summer night, Generation Betas will bring their family robots out for a neighborhood game of hide and seek. A father will be out on the porch, drinking lemonade, proudly reflecting on successfully convincing them to name the game, "Terminator".
In a few years, on a cool summer night, Generation Betas will bring their family robots out for a neighborhood game of hide and seek. A father will be out on the porch, drinking lemonade, proudly reflecting on successfully convincing them to name the game, "Terminator".
I don't have any special inside knowledge about how @Kimi_Moonshot trained Kimi K2. I just read the paper and this part is what I've been telling anyone who will listen about. Their data generation steps to get lots of high quality, multi-turn agent traces to train on is so much…
I don't have any special inside knowledge about how @Kimi_Moonshot trained Kimi K2. I just read the paper and this part is what I've been telling anyone who will listen about. Their data generation steps to get lots of high quality, multi-turn agent traces to train on is so much… https://t.co/m4wVWAVuIG
Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on @huggingface, @FAL, and @pipecat_ai. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which…
Everyone knows action chunking is great for imitation learning. It turns out that we can extend its success to RL to better leverage prior data for improved exploration and online sample efficiency! colinqiyangli.github.io/qc/ The recipe to achieve this is incredibly simple. 🧵 1/N
Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵
Kyutai TTS and Unmute are now open source! The text-to-speech is natural, customizable, and fast: it can serve 32 users with a 350ms latency on a single L40S. Try it out and get started on the project page: kyutai.org/next/tts
How can you train an adversarial cooperator? It would be great to use adversarial training to get robust human-AI cooperation, but if you directly train the cooperation partner with an adversarial objective, it will just sabotage the task. Our latest work, GOAT, uses a…
How can you train an adversarial cooperator? It would be great to use adversarial training to get robust human-AI cooperation, but if you directly train the cooperation partner with an adversarial objective, it will just sabotage the task. Our latest work, GOAT, uses a…
Pipecat Flows is a context engineering library for voice agents. Today's LLMs are *great* at two things: natural, open-ended conversation; and extracting structured data from unstructured input. They are not great (yet) at reliably following detailed instructions throughout a…
What if prediction is the core principle behind intelligence? This idea was first put forward by German polymath Hermann von Helmholtz in the 1860s.
How do language models track mental states of each character in a story, often referred to as Theory of Mind? Our recent work takes a step in demystifing it by reverse engineering how Llama-3-70B-Instruct solves a simple belief tracking task, and surprisingly found that it…
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