@LauraLoomer@AmichaiChikli@AmichaiChikli You guys dont seem to understand the kind of damage you have done to judaism and Israel by watering down the meaning of anti semitism and labeling neutral people as anti semitic, this kind of behavior creates real anti semitism.
https://t.co/uSVyHbm4CX
New Anthropic research: Natural Language Autoencoders.
Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read.
Here, we train Claude to translate its activations into human-readable text.
🛠️ playwright-cli v0.1.9 — sharper tools for coding agents:
🎯 highlight + show --annotate for visual confirmation
📦 drop files & clipboard data
🧭 generate-locator for stable refs
🧱 snapshot --boxes with bounding boxes
📤 --raw and --json everywhere
https://t.co/cmynCC0otZ
Introducing Kernels on the Hugging Face Hub ✨
What if shipping a GPU kernel was as easy as pushing a model?
- Pre-compiled for your exact GPU, PyTorch & OS
- Multiple kernel versions coexist in one process
- torch.compile compatible
- 1.7x–2.5x speedups over PyTorch baselines
We're bringing the advisor strategy to the Claude Platform.
Pair Opus as an advisor with Sonnet or Haiku as an executor, and get near Opus-level intelligence in your agents at a fraction of the cost.
GLM-5.1 can now be run locally!🔥
GLM-5.1 is a new open model for SOTA agentic coding & chat.
We shrank the 744B model from 1.65TB to 220GB (-86%) via Dynamic 2-bit.
Runs on a 256GB Mac or RAM/VRAM setups.
Guide: https://t.co/LgWFkhQ5rr
GGUF: https://t.co/64nkm2t8K0
Introducing GLM-5.1: The Next Level of Open Source
- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.
Blog: https://t.co/hmyDe4Nel3
Weights: https://t.co/CuUjXcPKJD
API: https://t.co/fz6reja4fb
Coding Plan: https://t.co/Nk8Y98HNhU
Coming to https://t.co/WCqWT0qCQb in the next few days.
Shipping a production agent meant months of infrastructure work first.
Managed Agents handles that for you. Define your agent's tasks, tools, and guardrails, and we run it on our infrastructure.
Here's what early customers have built:
Hooke's law in motion: a dancer's joints anchor a real-time spring-mass lattice.
Every extension, contraction, and twist propagates tension through the system; rendering these hypnotic, radiating dashed vectors as emergent force fields.
Imagine trying to teach someone how to swim just by letting them read books about water.
That is how we have been training AI on physics, using text descriptions.
To really learn, you need to get in the water.
"The Well" is that water.
Polymathic AI has released a massive 15TB open-source library of physics simulations. It allows AI models to experience physical phenomena directly.
Instead of reading about a supernova, the model processes the actual data of the explosion. Instead of reading about aerodynamics, it analyzes the fluid flow.
This moves us from [Generative AI] (making things up) to [Scientific AI] (discovering truth).
A huge step forward for open science.
GitHub Repo: https://t.co/xgUdqncyRH
Get started with
npm i @huggingface/transformers
Links:
📖 Blog post: https://t.co/TVmp4rUIEU
📝Release notes: https://t.co/SwDZUYZLD8
🛝 Demos: https://t.co/BCg7pXOToF
🔗 Release video: https://t.co/WDYLtMNdWJ