OpenAI is delaying the release of its highly anticipated open-weight model CEO Sam Altman shared on X that the company needs time to "run additional safety tests and review high-risk areas" The model was originally planned for this week
OPEN SOURCE
-
Moonshot AI Releases Kimi-K2: 1T Parameter Open-Source MoE Model
By
–
Moonshot AI released Kimi-K2, a 1T param open-source MoE model that: —Surpasses frontier AI like GPT-4.1 and Claude Opus 4 on coding, with new highs on math and STEM
—Excels at agentic workflows with tool use
—Doesn't have multimodality or reasoning yet -
WordPress Categories for AI Topics
By
–
CI Agent committed 19 hours ago +1 -0 lines changed
grok4_system_turn_prompt_v8.j2 -
Edge Models Drive Adoption With Apache 2.0 License
By
–
Actually, edge models are (by far) the most demanded ones. The license applies to all derivatives, so it shouldn't be too confusing. We also modeled it after Apache 2.0 for user-friendliness.
-
AI Libraries Finally Balance Hackability With Performance
By
–
nice trend over the last year is that folks in AI have finally produced a few libraries with the right abstractions finally our code can be both hackable and fast, not just one or the other. this never used to happen vLLM, sglang, verl..
this is the dawn of Good Software in AI -
Amiga 1000 powered early tensor engine Lush development
By
–
True story.
I used this particular Amiga 1000 to write SN (Léon had his own Amiga) using Emacs and gcc, and to write my PhD thesis with Emacs and LaTeX in 1987.
SN, later evolved into SN2 and SN3, and was open sourced under the name Lush in 2001.
SN3/Lush (tensor engine with Lisp -
Balancing Open-Source Contribution with Revenue Generation
By
–
It's possible in the future, but this license was created to balance our desire to contribute to the open-source community with the need to generate revenue. Unlike big tech companies, models are the only way we make money: no ads, no shady practices with user data. I hope
-
Getting llama-cpp-python working with local models
By
–
Thanks! Did you manage to make it work with llama-cpp-python? If so, could you share how you did it? I didn't think it'd require extra work
-
First Non-Anthropic Model for Agentic Loops
By
–
I didn’t word it properly, I meant it's the first non-Anthropic model I feel I can use for agentic loops.
-
LM Studio Latest Version Works with Updated llama.cpp Beta
By
–
It works with the latest version of LM Studio after selecting the beta channel and updating llama.cpp