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I’ve been building Idea2Play—a place to take a break and enjoy free browser games.
No ads, downloads, purchases or account needed. Just play.
Here’s a little tour:
youtube.com/watch?v=HHQWD8oX…
Try idea2play.com and tell me what you think. I’d love your feedback.
This model looks interesting to evaluate for Speech to Speech, which is the future for communicating with Persistent agents
Replying to @liquidai
𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱 is our first omni model, built for cross-modal interactions that require understanding visual and auditory information together. It combines vision, audio and language in a single model that responds in text, speech or both.
Ask a spoken question about an image, or provide a video with its soundtrack and ask something that requires understanding both. The model processes visual and auditory information jointly.
It also combines visual context with spoken instructions to generate structured tool calls, helping assistants act on what users show and tell them.
> In our evaluations, it scores 70.1 on Daily-Omni, which tests video and audio understanding, compared with 61.3 for Qwen2.5-Omni-7B.
At 2.2B parameters, it brings multimodal agents on-device that use visual and auditory context to guide users, respond to voice commands and act through tools. Developers can specialize this foundation model for personalized education, everyday assistance, in-car experiences, digital interfaces, robotics, and more.
> 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱 model card: huggingface.co/LiquidAI/LFM3…
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Nvidia CEO Jensen Huang has endorsed California's potential new billionaire tax laws, even if it will cost him $8 billion.
"I don't mind paying taxes. The more you make, the more taxes you pay. I'm okay with that. I am the ultimate American Dream."
Ash DCosta retweeted
Your LLM agent has to think out loud, token by token, before it can search, run code, or act in the world.
We humans don’t. We ponder in silence and speak when it matters.
Human language was never meant to be the limit of machine thought.
Introducing 🌗Hybrid Reasoning Agents
- Think in latent space, act through text
- Two modes, one unified multi-turn flow
- No black box, fully readable latent thoughts
- Any LLM can become a HybridAgent
Ash DCosta retweeted
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
Ash DCosta retweeted
🚀 Introducing Next-Concept Modeling (NCM): our new paradigm for fast, parallel, coarse-to-fine text generation.
Compared to strong diffusion language models (DLMs) at similar parameter size, NCM achieves:
⚡ Up to 31× faster generation on downstream tasks like summarization and machine translation with comparable or better quality.
🏎️ 10–21× faster unconditional generation across TinyStories, LM1B, and OpenWebText, with comparable or better generative perplexity and using 3–5× fewer training tokens.
🧩 Better performance on reasoning tasks like Sudoku, outperforming both AR and diffusion baselines with fewer sampling steps.
With @ishanskhare, @IddahMlauzi, @ekellbuch, @simran_s_arora, @Azaliamirh, and @HazyResearch.
More details in the thread 🧵👇
Ash DCosta retweeted
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.
Ash DCosta retweeted
llama.cpp now has a Windows app 🦙
Llama Windows makes it easy to run models locally, with optimizations for NVIDIA RTX Spark.
📥 Browse and download models from Hugging Face
💬 Chat with local models right from your system tray
🔒 Keep your prompts on your PC
Ash DCosta retweeted
Michael I. Jordan, machine learning demigod, UC Berkeley
... the young people who work at these companies operate in a world [Silicon Valley, Berkeley, etc.] where these kinds of discussions are commonplace. Many of them aren’t really engineers; they come from the humanities, philosophy, or other disciplines. They’re 25 years old, they’re naive, they don’t do engineering work, they’ve never worked at large companies where real products are developed for real people, with discipline. And they get together, a bit like in Parisian cafés in the 1920s, to talk about these grand science-fiction ideas. When these young people resign, they know they’re going to attract attention. It allows them to feel virtuous and to be seen as very important figures. They claim to be giving up money, but in reality, they already have their stock options. So all of this is a grand moralizing performance that doesn’t serve the real objective it claims to pursue. There’s a great deal of naiveté here, which goes hand in hand with a certain cynicism…
di.ens.fr/~fbach/MJordan_ITW…
Ash DCosta retweeted
Introducing ManimGX, the 3D animation engine for agents.
- Blazingly fast: 90× faster than ManimCE
- Rust + wgpu core
- Compatible with Manim's Python API
- Lightweight: one pip install, no system dependencies
Open source: github.com/academa-labs/mani…
Docs: manimgx.academa.ai
For 40 years we built GUIs for humans. Now we build APIs for agents.
Try it. Paste this into your favorite coding agent:
"Follow manimgx.academa.ai/llms.txt to make me a 3D animation of the solar system, and open it."
Ash DCosta retweeted
🚀 Excited to introduce StreamRender-H3 — bringing real-time interactive worlds to life with diffusion models!
Built on Sol-Engine, we post-trained @MiniMax_AI H3 Ref2VA into a real-time streaming neural renderer.
🎮 Code drives the world. A game engine handles physics, object states, and player interactions, while H3 generates the visuals.
⚡ Real-time streaming: 2 denoising steps, 24 FPS, and ~273 ms per chunk on 8×GB200 GPUs.
🎨 One world, endless appearances: Change the reference image and prompt to render the same interactive world in entirely different styles.
🔥 Powered by streaming post-training, distillation, a fast causal H3 VAE, and full-stack inference acceleration.
Check out our demo and code! 👇
demo: nvlabs.github.io/Sana/Sol-En…
code: github.com/NVlabs/Sana/tree/…
This is like a software developer complaining they can't use the VIM editor anymore to write code but they have to use a coding agent.
Your goal is to solve problems!
Fields medallist Hugo Duminil-Copin was deeply shaken by OpenAI’s release of more than 700 AI-generated mathematical manuscripts, including work on 16 questions directly relevant to his research.
“On Tuesday night, I cried, and it woke up my daughter”
“They have annihilated my field of research.”
lemonde.fr/sciences/article/…
Ash DCosta retweeted
Roston Chase had as big a say in this outcome for the West Indies as anyone 4-0-24-3.
I’ve been messing with FreeCell 😄 What if some cards were ripped in half?
That’s Broken Deck. Find the matching pieces, put them back together, and keep playing.
Here’s a card getting fixed 👇
idea2play.com/play/broken-de…
#IndieGameDev #FreeCell
Ash DCosta retweeted
Atrophy is a choice. Machines play chess better than we do, but we still play and reap many benefits from it. Let AI perform tasks, but never stop challenging your mind, or yourself.
Ash DCosta retweeted
Replying to @KrzakalaF
Au contraire.
C'est une nouvelle ère qui s'ouvre pour les mathématiques.
Une ère où la démonstration formelle est largement automatisée et où l'accent sera reporté sur le développement de nouveaux concepts, nouvelles abstractions, nouvelles définitions, et nouvelles conjectures.
L'invention du bateau a réduit l'importance de la nage, mais a permis la découverte de nouvelles terres.
Ash DCosta retweeted
We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: news.mit.edu/2026/margaret-h…
Looks great. Congratulations
Video generation now runs right on your laptop. 🎬
Introducing FreeVideo — bringing MiniMax H3 + Video DeltaNet to the hardware you already own.
As little as 8GB VRAM + 16GB RAM. ComfyUI integration, LoRAs & custom workflows.
Code: github.com/FlashML-org/FreeV…
Ash DCosta retweeted
🚨 MUSE ECOSYSTEM ALERT 🚨
today we are announcing Muse Gadgets!
this is an open-source ESP32 firmware and Linux SDK for anyone to make hardware that works with Muse
we are also releasing our own gadget—Muse Home Link—to enable your muse to work with your smart devices (TV, speakers, etc.)


























