Most data scientists live in their editor but manage jobs and workspaces in a browser. The Domino VS Code Extension closes that gap: run jobs, monitor status, and connect directly to enterprise compute without leaving VS Code. Read the Blueprint: https://
hubs.ly/Q04bxrVl0
CODE
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Domino VS Code Extension for Data Scientists and Enterprise Compute
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AI Model Distillation: How Stronger Models Train Weaker Ones
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Everyone is accusing everyone of “stealing AI”
But almost nobody is explaining what’s actually happening. Distillation. → Query a stronger model at scale
→ Collect outputs (reasoning, code, decisions)
→ Train your own to imitate it No weights. Just behavior. This worked in -
Open Source Software Help Needed for Development
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that is not enough info to act on, but you seem to do software and it’s open source so hoping you help!
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Caffeine.ai vs Replit: Switching Vibe Coding to Internet Computer
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http://
Caffeine.ai vs Replit: Why I Switched My Vibe Coding to the Internet Computer https://
madebyagents.com/blog/caffeine-
ai-vs-replit?utm_source=dlvr.it&utm_medium=twitter
… #ArtificialIntelligence #MachineLearning #DataScience #RAG #MLOps #AIArchitecture #technology #CTO -
Replit Agent 4: Build Landing Pages Without Hiring Developers
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Replit Agent 4 Review for Business Owners: Build Landing Pages and Internal Tools Without Hiring Developers https://
madebyagents.com/blog/replit-ag
ent-4-review-for-business-owners?utm_source=dlvr.it&utm_medium=twitter
… #ArtificialIntelligence #MachineLearning #DataScience #CIO #AIStrategy #CloudComputing #BusinessStrategy #RAG -
Build Local Sandboxed AI Assistant with NVIDIA NemoClaw
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Here's your weekend project. Build a fully local, sandboxed AI assistant. Step-by-step tutorial to build your always-on agent: on openclaw with NVIDIA NemoClaw using NVIDIA DGX Spark Get started: https://
developer.nvidia.com/blog/build-a-s
ecure-always-on-local-ai-agent-with-nvidia-nemoclaw-and-openclaw/
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Experienced developers can now leverage Claude and GPT models
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Lisez bien. Sur la base de ce que je peux constater et que j'expérimente quotidiennement, j'affirme que tout développeur informatique expérimenté qui utilise @AnthropicAI #Claude Code et son modèle Opus 4.7 et également @OpenAI #Codex et son modèle GPT-5.4 peut désormais
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Claude Code grep capability transforms codebase context limitations
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For me it was when Claude Code got good at grep, since then it didn't matter if the whole codebase fitted in the context or not
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Opus 4.7 Performance Breakdown Across Coding Writing Spreadsheets
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here is our full Opus 4.7 vibe check we broke down how it performs on coding, writing, spreadsheets and more:
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Cisco builds multi-agent coordination framework with LangSmith LangGraph
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Renuka Kumar and Prashanth Ramagopal from the @Cisco team built a LangSmith + LangGraph powered framework for multi-agent coordination that behaves like a real-world software team. An inside look → https://
langchain.com/blog/agentic-e
ngineering-redefining-software-engineering?utm_source=twitter&utm_medium=social
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