As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models.
Here’s what this means for you:
Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error.
On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models.
We know this is a disruption to your workflows; we appreciate your patience and support.
Fujitsu has launched a new update for OSS OneCompression (OneComp)!
OneComp is a quantization open-source software that generates an optimized compressed model for your GPU with just a single line.
In this update, we introduce Fujitsu’s quantization technology, JointQ.
By further extending GPTQ-based optimization, it delivers significant performance improvements in the 3–4 bit range. In particular, 3-bit models show remarkable gains, with performance even expected to surpass existing higher-bit quantized models available on Hugging Face (@huggingface).
Additional enhancements include:
・MPS support, enabling quantization and inference on Mac environments
・Global PTQ support, allowing high-performance model generation across multiple GPUs
These updates greatly expand its practical usability in real-world deployments.
🔗Learn more: https://t.co/NFEKZE2aab
Nex-N2 is now open source!An agentic model series from Nex AGI built for coding, tool use, deep research, and long-horizon workflows. 🧠🔎
🛠️ https://t.co/p2n2cMdBlR
⚙️ https://t.co/k67uqVgDDP
● Models: Nex-N2-Pro 397B total, 17B active; Nex-N2-mini 35B total, 3B active
● Agentic Thinking: adaptive reasoning depth + coherent reasoning across coding, search, tool calling, and execution
● Efficiency: Nex-N2-mini saves roughly 20% overall token cost vs forced thinking while matching or slightly exceeding task performance
● Open-model lead: 75.3 on Terminal-Bench 2.1, 80.8 on SWE-Bench Verified, 83.7 on BrowseComp, and 1585 on GDPval among listed open baselines
● Deployment: customized SGLang fork, reasoning parser, tool-call parser, Docker image
● License: Apache 2.0
Nvidia’s new ARM-based SOC is rumoured to feature:
- Up to 20 CPU cores
- Up to 6144 Blackwell CUDA cores
- Use a TSMC 3nm process
- Up to 128GB unified memory
This has the potential to be an M5 Max competitor for AI-developers.