Speaking at #DataAISummit is a great way to showcase your impact, build credibility, and advance your career. If you’re working on real problems in data engineering, analytics, or AI, this is a chance to share your work with peers and grow your voice in the community. We’re
MACHINE LEARNING
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Steal this prompt to turn any LLM into a context engineering expert
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Steal my prompt to turn any LLM into a context engineering expert
— God of Prompt (@godofprompt) 24 janvier 2026
Embeds:
→ Anthropic’s official research
→ arXiv taxonomy (1400+ papers)
→ Chroma’s context rot data
→ Claude Code production patterns
Here’s the prompt 👇 pic.twitter.com/S7bLZWSYRNSteal my prompt to turn any LLM into a context engineering expert Embeds:
→ Anthropic’s official research
→ arXiv taxonomy (1400+ papers)
→ Chroma’s context rot data
→ Claude Code production patterns Here’s the prompt -
Free Beginner’s Guide to Machine Learning Fundamentals
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A free beginner’s guide to machine learning: https://
bit.ly/45Ho2rS v/
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Qwen3-TTS Open-Source Real-Time Voice Stack Released
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Qwen3-TTS just cracked open-source TTS! Qwen3-TTS turns a Qwen3 LM into an instruction-steerable real-time voice stack by jointly training a speaker encoder + a dual-track text/acoustic token backbone Under the hood, it uses hierarchical multi-token prediction over RVQ
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Multi-Agent Systems: Do Homogeneous Agents Really Improve Performance?
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Are multi-agent systems necessary? Here is a great new paper addressing this. The big assumption most AI devs make today is that more agents lead to better performance. But here is the overlooked reality: most multi-agent systems are homogeneous. All agents typically share
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LeJEPA: Provable and Scalable Self-Supervised Learning Without Heuristics
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#PaperADay 10
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics https://arxiv.org/pdf/2511.08544 The comments on #PaperADay 3 recommended this paper as the state of the art JEPA paper, and it does look much better! They acknowledge that much of the prior JEPA -
Autonomous Agents with Infinite Memory Capabilities
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🚨 BREAKING – AUTONOMOUS AGENTS WITH INFINITE MEMORY
— Abacus.AI (@abacusai) 23 janvier 2026
Imagine if you had access to an endless memory and an AI agent could do ANY Task
Introducing autonomous agents that can perform any task, store information, and context in a persistent store
🚀🚀 pic.twitter.com/KW1ogpWItLBREAKING – AUTONOMOUS AGENTS WITH INFINITE MEMORY Imagine if you had access to an endless memory and an AI agent could do ANY Task Introducing autonomous agents that can perform any task, store information, and context in a persistent store
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Comparing AI Capabilities in Autonomous Robotaxi Systems
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Most Robotaxi rides are single riders. Zoox is too limited and too expensive to operate and doesn’t have as nice an experience. And its AI isn’t nearly as good as Tesla’s.
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Flow Model Architecture: Exploring Layer Configurations and Training Efficiency
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Did you try any different configurations of the flow model than 4 layers? I would generally expect a wider 2 layer to train faster, unless there is some character to the flow problem that needs more abstraction.