What does it take to run a global supply chain powered by AI? For @Lenovo
, it meant unifying data and streamlining operations. “Leveraging Databricks, we can bring supply chain intelligence to another level by collecting information into the platform. We could also reactively
SOFTWARE
-
Lenovo Leverages AI Databricks Supply Chain Intelligence Platform
By
–
-
Ant Ling releases 1T-params open-source coding model
By
–
Ant Ling introduced a new 1T-params, non thinking open source model with a good performance on coding tasks. 1T
-
Ollama’s bloated wrapper fails to match ggml’s efficiency
By
–
do not use Ollama ggerganov wrote blazing-fast
C++ inference (ggml, llama.cpp) then Ollama wrapped it
in a bloated binary and is now somehow the face of local LLMs
soaking up VC hype and it's not even a good wrapper lol -
AI Gym Buddy Monitors Form and Counts Reps
By
–
Check out this AI gym buddy that monitors your form and counts reps. Server/client setup ready for gym deployment without any extra gear. Making workouts safer with edge AI Demo: https://
eu1.hubs.ly/H0nGsLD0 -
Run Claude Code Locally on Your Own GPU Setup
By
–
tired of Anthropic’s weekly limits and nerfed models? with one command and a few GPUs,
you can route Claude Code to your own local LLM Buy a GPU p.s. full video tutorial pinned at the top of my profile -
Jamba Reasoning 3B: Exceptional Performance on Extended Contexts
By
–
3/5 Where most other tiny models choke at context lengths above 8K, Jamba Reasoning 3B stays steady, with a consistent 30-40 tokens/second on an M3 MacBook Pro, regardless of context size. This is up to an order of magnitude faster than other on-device models.
-
Jamba Reasoning 3B: Hybrid SSM-Transformer Apache 2.0 Release
By
–
1/5 Releasing Jamba Reasoning 3B under Apache 2.0: Hybrid SSM-Transformer architecture that tops accuracy & speed across record context lengths. e.g. 3-5X faster than Llama 3.2 3B and Qwen3 4B at 32K tokens.
-
ChatGPT-5 Pro Generates Custom Dev Tool Configurations
By
–
pro tip: tell ChatGPT-5 Pro (or o3) “build me tmux/neovim/vscode configs based on my workflow from our conversations” you’ll be surprised how good it actually is
-
Ollama Alternatives: LMStudio, Llama.cpp, vLLM and More
By
–
ollama alternatives > lmstudio
> llama.cpp
> exllamav2/v3
> vllm
> sglang among many others like literally anything is better than ollama lmao -
Tips for all-night coding sessions and sustained productivity
By
–
How do you pull nights and code non stop? Any frikin tips?