Mic King
@iPullRank
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#ZoraAndGlorysDad. Founder of @iPullRankAgency. Consultant to F500. Marketing Technologist (AI focused). Keynote Speaker. Rapper. GOAT.
Brooklyn, NYC
Joined September 2010
You gotta engineer the life you want. Otherwise you're just accepting what they give you.
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Starting today, Gemini can serve up local results in a rich, visual format. See photos, ratings, and real-world info from @GoogleMaps, right where you need them.
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I want to hire whoever sells MS Teams. Whoever that is is AMAZING at their job.
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I bet the rapper Fat Joe be looking at his SERP like "wtf is SEO?"
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Good experiment.
Super interesting experiment here done by Ahrefs (and utterly scary results) https://t.co/zq5lFBUDzO
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Can one of these companies win already? I'm tired of switching apps once a month.
https://t.co/pND1qGFgDk "We are introducing GPT‑5.2, the most capable model series yet for professional knowledge work. Already, the average ChatGPT Enterprise user says AI saves them 40–60 minutes a day, and heavy users say it saves them more than 10 hours a week. We
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Still not beating those R&B singer allegations at @techseoconnect 📷: Steve Hall Other shots from the event are here: https://t.co/QgoHyPN3qg
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meet Interactions API, our brand new foundation for building autonomous agents: • native state management • background execution for long tasks • one unified API for models and agents try it now with our first built-in agent: Gemini Deep Research, designed for long-horizon
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BREAKING 🚨: Google released Gemini Deep Research Agent on API, based on Gemini 3 Pro as a core! Gemini Deep Research achieves state-of-the-art 46.4% on the full Humanity’s Last Exam (HLE) set, 66.1% on DeepSearchQA and a high 59.2% on BrowseComp
Say hello to the new Interactions API and our first agent, Gemini Deep Research, now available for developers 🤖! The Interactions API is a new unified interface to interact with both models and agents. Our Deep Research agent is also SOTA on many dimensions...
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Get your tickets now. The earlier we sell these tickets out, the cooler we can make the experience. Oh, and prices go up in 20 days.
SEO Week was the best search conference of 2025. Be in the mix in 2026 EARLY BIRD pricing available for only 20 more days 👉 https://t.co/GUEQi7bIb0
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I know y'all always see me doing epic things, but 2026 is about to be an entirely new level. Mic King x Rakim is on the way!
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Meta just solved RAG's biggest bottleneck. 30× faster decoding. Zero accuracy loss. The problem nobody talks about: When you feed an LLM 80 retrieved passages, only 5-10 are actually useful. The rest? Dead weight. But you're computing attention for ALL of them. The math is
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Google just found the agentic scaling law! Forget "more agents is all you need." After 180 experiments across GPT, Gemini, and Claude, the results are in: - The 45% Trap: If a single agent has >45% accuracy, adding more agents often hurts performance. - Tool Tax: Tool-heavy
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I know y'all always see me doing epic things, but 2026 is about to be an entirely new level. Mic King x Rakim is on the way!
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We're donating MCP to the @linuxfoundation and launching the Agentic AI Foundation with @OpenAI, @blocks, @AWS, @Bloomberg, @Cloudflare, @Google, and @Microsoft. MCP went from internal project to industry standard in a year. Now it gets the long-term stewardship it deserves.
Anthropic is donating the Model Context Protocol to the Agentic AI Foundation, a directed fund under the Linux Foundation. In one year, MCP has become a foundational protocol for agentic AI. Joining AAIF ensures MCP remains open and community-driven.
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Introducing the FACTS Benchmark Suite, developed by @GoogleDeepMind & @GoogleResearch to produce a comprehensive test measuring LLM factuality across four dimensions: internal model knowledge, web search, grounding, & multimodal inputs. More on the blog → https://t.co/U3beb3K9ku
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We just launched fully managed, remote MCP servers for all Google and Google Cloud services. Now you can easily connect your AI agents to our entire ecosystem with a single standard. Read more in @TechCrunch:
techcrunch.com
Google is rolling out managed MCP servers to make its services “agent-ready by design,” starting with Maps and BigQuery, aiming to simplify messy integrations and help AI agents use real tools.
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I spent the last few days prompting ChatGPT to understand how its memory system actually works. Spoiler alert: There is no RAG used https://t.co/zxvRRP2GK8
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Introducing AlphaEvolve, our Gemini-powered coding agent for designing advanced algorithms—in private preview. AlphaEvolve uses LLMs to propose intelligent code modifications, creating a feedback loop that evolves your algorithms to be more efficient → https://t.co/PQtYUtOtkN
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