AI agents are wildly premature technology that is being rolled out way too fast. The deepest lesson about the vibe coded AI agent disaster story that is running around is NOT about losing your data. ๐๐โ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ ๐๐ฎ๐ณ๐ฒ๐๐. The user wasnโt (totally) naive.
AGENTS
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Anthropic Account Support Scaling: Claude vs Human Managers
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This is kinda interesting. Anthro probably needs to scale up Account Support via Claude or via humans (traditional account managers). Would be funny if they chose humans. Alternatively, more and more companies can probably go multi-AI with open harnesses. Similar problems to
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Open-source AI agent stacks challenge SaaS market dominance
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SaaS is DEAD. Nothing beats a โfreeโ open-source agent stack at just $1,245/month
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Xiaomi Mimo v2.5: Free Pro AI Agent for Coding Automation
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6/ Mimo v2.5 Xiaomi's FREE Pro AI agentโ1M ctx, trillion-param equiv for coding/automation. Rivals Claude. Get it: Xiaomi AI app or site
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ML Intern at Hugging Face: AI Agent Automates LLM Post-Training
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8/ ML Intern (Hugging Face)โOpen 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
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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 freeโthis is your no-fluff Weekly AI Recap from @futurepedia_io
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DeepSeek V4 Preview: 1.6T Parameters Open Model Released
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1/ DeepSeek V4 Preview just droppedโ1.6T 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
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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
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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
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Models as Components: The Rise of AI Agent Infrastructure
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My biggest takeaway: Models are becoming components, not products. What matters now is the system around them: โ runtimes
โ memory
โ tool access
โ orchestration
โ secure execution environments That is what turns a model into an agent, and an agent into something the
