mate have you looked at uv? just do `brew install uv` followed by: `uv venv –python 3.12` that's it https://
docs.astral.sh/uv/
SOFTWARE
-
UV: Fast Python package manager and environment tool
By
–
-
AI Healthcare Service Mo Achieves 95% Doctor Validation Rate
By
–
81% of patients decided to discuss their case with Mo (the AI service), instead of waiting 30 mins for a human doctor 57% of Mo responses in <1 min 95% of Mo convos are validated by doctors as the answers were good or excellent – they were also happy with empathy and technical
-
Zed Editor Now Supports MCP Integration
By
–
Zed has added MCP support in their editor, also available to try out!
-
Sourcegraph Adds MCP Support to Cody Available Now
By
–
Sourcegraph has already added MCP to Cody and you can go try it out right now!
-
MCP Community Response and Future Improvements Ahead
By
–
It's been great to see the community's response to MCP! This launch is just the starting point – the team is already working on fast-followup improvements to the docs and Claude Desktop app experience based on your initial feedback. MCP's true potential will unfold in the
-
SmolVLM: Fast 2B Parameters Vision-Language Model On-Device
By
–
when the model is so fast and small it falls "outside" of the pareto curve SmolVLM: a fast and high performance 2B params Vision-Language Model for on-device/in-browser use
-
Day in the life: Design Engineer at Replit
By
–
Day in the life @ Replit with Talor, Design Engineer ☀️🎨 pic.twitter.com/wTl3XcR3Ah
— Replit ⠕ (@Replit) 26 novembre 2024Day in the life @ Replit with Talor, Design Engineer
-
AI-first enterprise software demonstrates strong market traction and monetization
By
–
AI-first enterprise software is demonstrating real stickiness, while AI-first companies are hitting revenue milestones much quicker than their traditional SaaS peers.
— Nathan Benaich (@nathanbenaich) 26 novembre 2024
This year’s @stateofaireport covers how AI companies are moving from building models to monetising products. pic.twitter.com/xcgFEorqeNAI-first enterprise software is demonstrating real stickiness, while AI-first companies are hitting revenue milestones much quicker than their traditional SaaS peers. This year’s @stateofai covers how AI companies are moving from building models to monetising products.
-
AI Profitability Through Infrastructure and Optimization Advances
By
–
when i get asked “ahhh will any of these large model / ai companies find profitable unit economics” i point to the fact that we’re only now seeing serious web / cloud infra and low level optimisation folks come into ai here’s a killer example the future gets brighter:
