Daily AI Recap: Jan 03, 2026
Welcome to today's curated briefing of the most important AI developments.
🗞️ Top Stories
- Tech billionaires cashed out $16 billion in 2025 as stocks soared: Jeff Bezos led the way. The Amazon founder sold 25 million shares for $5.7 billion in June and July, right around the time he was getting hitched to Lauren Sanchez in Venice....
- How to Build a Production-Ready Multi-Agent Incident Response System Using OpenAI Swarm and Tool-Augmented Agents: In this tutorial, we build an advanced yet practical multi-agent system using OpenAI Swarm that runs in Colab. We demonstrate how we can orchestrate specialized agents, such as a triage agent, an SRE ...
- Python or Julia? A Practical Guide for AI Teams: Python vs Julia for AI: a practical comparison of performance, ecosystem, deployment, and when to choose each language....
- How to Keep MCPs Useful in Agentic Pipelines: Check the tools your LLM uses before replacing it with just a more powerful model The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science....
- 15 AI Agents Trends to Watch in 2026: The bygone year has been an interesting one, especially so for the age of AI that is fast coming. We saw AI agents rise for the first time and take over repetitive tasks that traditionally required a ...
🛠️ Featured Tools
- DeepSeek mHC: Stabilizing Large Language Model Training: Large AI models are scaling rapidly, with bigger architectures and longer training runs becoming the norm. As models grow, however, a fundamental trai...
- Optimizing Data Transfer in AI/ML Workloads: A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems The post Optimizing Data ...
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