SaaS is DEAD. Nothing beats a “free” open-source agent stack at just $1,245/month
AGENTS
-
Xiaomi Mimo v2.5: Free Pro AI Agent for Coding Automation
By
–
6/ Mimo v2.5 Xiaomi's FREE Pro AI agent—1M ctx, trillion-param equiv for coding/automation. Rivals Claude. Get it: Xiaomi AI app or site
-
ML Intern at Hugging Face: AI Agent Automates LLM Post-Training
By
–
8/ ML Intern (Hugging Face)—Open AI agent automates LLM post-training: lit review, datasets, training/eval loops. Smolagents-powered. Try: https://
buff.ly/rfEnPhk -
Weekly AI Recap: GPT-5.5, DeepSeek V4, Mimo v2.5 launches
By
–
AI tools launched the past week. 11 reasons your workflow just got faster. GPT-5.5 for reasoning, DeepSeek V4 for agents, Mimo v2.5 free—this is your no-fluff Weekly AI Recap from @futurepedia_io
-
DeepSeek V4 Preview: 1.6T Parameters Open Model Released
By
–
1/ DeepSeek V4 Preview just dropped—1.6T params (49B active) with 1M context, crushing agentic coding & reasoning. Rivals top closed models. https://
buff.ly/jpc8oFA Try API: https://
buff.ly/5VT2nuE -
Agentic AI Production: Enterprise Differentiation Beyond Frameworks
By
–
Agentic AI is no longer a roadmap item. It's live, it's in production, and it's changing what enterprise AI requires. The differentiator isn't which framework you pick, it's what you build on top of it. Learn why: https://
hubs.ly/Q04dvpHt0 -
Enterprise AI Winners Build Better Intelligent Systems
By
–
My view is simple: The winners in enterprise AI will not be the companies with access to the most models. They will be the ones that build the best intelligent systems around them. If you want the full breakdown, watch the video and tell me what part of your AI stack you are
-
Forrester Wave Data Fabric Platform Report: Agentic AI Redefines Intelligence
By
–
The Forrester Wave Data Fabric Platform Report! Agentic AI And Advanced Data Intelligence Are Redefining Data Fabric. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
-
Models as Components: The Rise of AI Agent Infrastructure
By
–
My biggest takeaway: Models are becoming components, not products. What matters now is the system around them: → runtimes
→ memory
→ tool access
→ orchestration
→ secure execution environments That is what turns a model into an agent, and an agent into something the -
Enterprise AI strategies must evolve beyond model-centric thinking
By
–
Most enterprise AI strategies are already behind. Not because they picked the wrong model, but because they are still thinking at the model layer. The real shift is happening one level up, where AI becomes a system that can reason, use tools, retain context, and execute work