Jami
41.3K posts
@expertwith_AI
Helping ambitious Founders and CEOs create meaningful Personal Brands on Twitter | AI & Web Dev Enthusiast |🔗DM For Paid Promotion.📩 [email protected]
🚨 This AI ad platform is doing what most tools can’t. Cloaked scaled past $1M+ in spend using Airpost. DoorDash cut CAC by ~40% with it. Meanwhile, most AI ad tools fade after the hype. Airpost? 100% client retention. Here’s why that matters 🧵
Most ad campaigns don’t fail all at once—they gradually lose momentum. Spend continues, but attention fades. Engagement drops, performance softens, and budgets keep running without clear returns. In many cases, the issue isn’t targeting. It’s creative that no longer resonates. @Omneky addresses this by continuously refreshing visuals, copy, and formats using real-time signals. Each iteration builds on what works—so campaigns evolve alongside the audience. Key advantages: – Creative tailored to the viewer – Iteration grounded in data, not instinct – Marketers guide strategy while AI scales execution Instead of relying on static campaigns, build systems that improve over time. omneky.com
Introducing MiniMax-M2.7, our first model which deeply participated in its own evolution, with an 88% win-rate vs M2.5 - Production-Ready SWE: With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%), M2.7 reduced intervention-to-recovery time for online incidents to 3-min on certain occasions. - Advanced Agentic Abilities: Trained for Agent Teams and tool search tool, with 97% skill adherence across 40+ complex skills. M2.7 is on par with Sonnet 4.6 in OpenClaw. - Professional Workspace: SOTA in professional knowledge, supports multi-turn, high-fidelity Office file editing. MiniMax Agent: agent.minimax.io API: platform.minimax.io Token Plan: platform.minimax.io/subscribe/toke…
Introducing MiniMax-M2.7, our first model which deeply participated in its own evolution, with an 88% win-rate vs M2.5 - Production-Ready SWE: With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%), M2.7 reduced intervention-to-recovery time for online incidents to 3-min on certain occasions. - Advanced Agentic Abilities: Trained for Agent Teams and tool search tool, with 97% skill adherence across 40+ complex skills. M2.7 is on par with Sonnet 4.6 in OpenClaw. - Professional Workspace: SOTA in professional knowledge, supports multi-turn, high-fidelity Office file editing. MiniMax Agent: agent.minimax.io API: platform.minimax.io Token Plan: platform.minimax.io/subscribe/toke…
(1/2)🦞 Using @openclaw but worried about sending sensitive data to the cloud? 🤔 Meet #EdgeClaw — a dedicated Local Routing Layer for #OpenClaw that handles data sensitivity and task complexity on the edge. 💻 It’s a drop-in enhancement that reactivates your local hardware to act as a Privacy Guard & Cost Judge. 3-Tier Security (Regex + Local LLM Engine) 🟢 S1 (Safe): Transparent passthrough to cloud. 🟡 S2 (Sensitive): On-device PII redaction before forwarding. 🔴 S3 (Private): 100% Local inference. Cloud only sees a 🔒 placeholder. 🧠 #LLM-as-Judge Routing Classifies requests locally and routes to the ideal model tier (e.g., #MiniCPM ➡️ #GPT-4o/#Claude), optimizing resource allocation and reducing unnecessary cloud dependency. 📉 Learn more🔗 github.com/openbmb/edgecl… #EdgeAI #LLM #Privacy #EdgeClaw #OpenClaw
